Tag: Poland
COVID-19 | The Case of Poland II
Poland in the FREE Network Covid-19 Project (May 26, 2020)
Current Health Situation in Poland
Poland noted its first coronavirus infection in early March 2020. After the initial rapid spread of the disease throughout the country and spike in the total number of registered infections, since early April the infection curve stabilized at a relatively low level (compared to other European countries) of 250-350 new daily cases. The flattening of the curve was a result of drastic health and social restrictions gradually imposed on society (more details below). Since the first reported case, the testing capacity has also been substantially improved, with the number of tests conducted daily increasing from 2K to 15-20K in late April, and holding steady since then.
Figure 1. Number of Covid infections per 100K inhabitants in districts in PL (as of May 25)
Even though Poland has not yet reached an apparent decrease in the number of new daily infections, since the end of April the government introduced a strategy of a slow, four-step re-opening of the economy (more details below). As of 26 May 2020, the total number of Covid infections in Poland approached 22K, with the number of fatalities as high as 1K, and cases reported in all but 7 districts of the country (out of over 300 – see Figure 1). At this point in time, Poland also found itself at the third phase of the lifting of restrictions on economic activity.
Government Health Policies
Lockdown Introduction
The Minister of Health announced a state of epidemic risk in the territory of Poland on March 14 [7], raising it further to a state of epidemic 6 days later [8]. Measures counteracting the epidemic were introduced centrally in Poland by the Minister of Health, and were gradually extended:
- Restriction on the size of public gatherings: since 14.03.2020 limited to 50 [7]; since 25.03.2020 – 2 people (except for families and funerals up to 5 people) [9],
- Ban on all non-essential mobility since 25.03.2020 [9]; since 01.04.2020 limitations on access to public spaces like parks, playgrounds and recreational areas; distance of 2 meters between people in public places; further restrictions for minors [10],
- Bars and restaurants closed and allowed only to provide take-away food since 14.03.2020 [7],
- Childcare institutions, all schools and higher education institutions closed on 12.03.2020, formally online education provided since 25.03.2020 [11, 12],
- Since 15.03.2020 foreigners banned from travelling into Poland (with exceptions), while all Poles arriving from abroad quarantined for 14 days after arrival [7],
- Shopping malls, sports and recreation centers, sports events, cinemas, theatres, etc. closed since 14.03.2020 [7]; since 01.04.2020 – hairdressers, beauty salons, physiotherapy, hotels etc. [10],
- Restrictions on the number of people using public transport since 25.03.2020 [9],
- Since 01.04.2020 restrictions on the number of people in shops and designated shopping hours for 65+ only [10], since 02.04.2020 obligation to wear disposable gloves [10],
- Restrictions in workplaces since 02.04.2020: distance between coworkers, access to protective equipment [10],
- Since 16.03.2020 certain hospitals devoted exclusively to patients with (suspicion of) Covid-19 [13],
- Since 16.04.2020 mandatory covering of mouth and nose in all public places, inside and outside [17].
Gradual Ease of Restrictions
On March 16, 2020, the Minister of Health announced a gradual strategy of lifting the restrictions imposed on social life and economic activity. The plan is divided into four steps. The first stage was implemented on 20.04.2020 [18]:
- increase in the limit of customers in shops,
- public spaces like parks and recreational areas (except playgrounds) open,
- mobility restrictions lifted for minors over 13 y.o.
The second stage was introduced on 04.05.2020 [19, 20, 21]:
- shopping malls open with restrictions on the number of customers, shopping hours for 65+ cancelled,
- museums, libraries, physiotherapy, hotels open,
- sports facilities open with restrictions on the number of users,
- 14-day quarantine for workers from neighbouring countries cancelled,
- since 06.05.2020 some nurseries and kindergartens open.
The third stage started on 18.05.2020 [22, 23]:
- mobility restrictions lifted for minors under 13 y.o.
- hairdressers, beauty salons, outdoor cinemas open, restaurants and bars – with restrictions on the number of customers,
- increase in the number of people using public transport,
- sport trainings allowed with restrictions,
- some classes (practical or individual) in post-secondary schools allowed,
- since 25.05.2020 classes for children from the 1st – 3rd grade in primary schools and final-year graduates allowed,
- since 01.06.2020 consultations with teachers at schools allowed.
The fourth stage is planned for the near future, without a specific date. It involves the opening of cinemas and sports centers.
Government Economic Policies
The government implemented several stages of the so called “Anti-crisis shield”, the first of which came into force on April 1. The overall package includes a number of broad measures to support enterprises and workers for a period of three months and covers both direct financial support as well as provisions regarding financial liquidity for companies [14, 15]. In March the National Bank of Poland decreased interest rates and announced that it will support access to credit through targeted longer-term refinancing operations and if necessary will provide monetary stimulus through large scale open market operations [16].
Short Summary of Measures
Labor market [14]:
- Increased flexibility of employee daily and weekly hours of work;
- Extension of childcare leave for parents with children aged 0-8;
- In case activities affected by revenue reduction (revenue fall by 15% year-to-year or 25% month-to-month):
- Self-employed or employees on non-standard contracts to receive a monthly benefit equivalent to 80% of minimum wage for up to three months;
- Companies to receive support equivalent to 50% of the minimum wage for inactive employees due to the stoppage, provided individual salaries are not reduced by more than 50%;
- Companies to receive support equivalent to up to 40% of average wage for employees whose hours are reduced by 20%;
- Alternative support to employment provided to SMEs (up to 249 employees) in case of revenue loss from the Labour Fund: depending on the level of revenue loss (>30%, >50%, >80%) support to employees expressed as ratio of the Minimum Wage (respectively: 50%, 70% and 90%);
- Relaxation of work and stay permits for foreigners.
Social transfers:
- No specific measures have been implemented but the government is considering:
- a tourism voucher of 1000 PLN paid to employees with a 90% contribution from the government (10% paid by employers); paid to employees on wages below the national average wage;
- additional support to housing benefit for those who become eligible to housing benefits due to the economic slowdown;
Tax breaks [14]:
- 100% of social security contributions to be paid by the government for self-employed and employees employed in micro enterprises (up to 9 employees) and 50% paid by the government in small enterprises (10-49) for three months;
- Tax payments and social security contributions on earnings and profits can be delayed till 01.06.2020;
- Losses from 2020 will be deductible from the 2021 tax base.
Emergency loans, guarantees and support [14]:
- Small-scale loans to small companies;
- Reduced administrative requirements and relaxation of numerous regulatory rules;
- Increased liquidity of firms through channels supported by the Polish Development Fund (PFR):
- extension of de minimis guarantees to SMEs;
- subsidies to SMEs which suffered revenue losses due to the pandemic;
- equities and bond issues to be financed by PFR;
- subsidies to commercial loan interest payments from BGK;
- commercial turnover insurance from Export Credit Insurance Corporation (KUKE);
- Relaxation of regulations related to contracts with public institutions (e.g. related to delays).
Monetary policy [16]:
- On 17.03.2020 NBP lowered the main reference interest rate by 0.5 pp and reduced the rate of obligatory reserves from 3.5% to 0.5%. The main reference rate was lowered further to 0.5% on 08.04.2020.
- NBP announced the readiness to engage in large scale open market operations;
- Targeted longer-term refinancing operations to allow credit refinancing by commercial banks.
References
[1] OECD Health Statistics, https://stats.oecd.org/viewhtml.aspx?datasetcode=HEALTH_REAC&lang=en.
[2] Central Statistical Office in Poland (GUS), bdl.stat.gov.pl.
[3] Supreme Medical Chamber (Naczelna Izba Lekarska), https://nil.org.pl/rejestry/centralny-rejestr-lekarzy/informacje-statystyczne.
[4] Ministry of Health, https://twitter.com/mz_gov_pl?lang=pl.
[5] Warsaw Stock Exchange (Giełda Papierów Wartościowych), https://www.gpw.pl/gpw-statistics.
[6] Central Bank of Poland (Narodowy Bank Polski), https://www.nbp.pl/home.aspx?f=/kursy/kursya.html.
[7] Ministry of Health, http://dziennikustaw.gov.pl/DU/2020/433.
[8] Ministry of Health, http://dziennikustaw.gov.pl/DU/2020/491.
[9] Ministry of Health, http://dziennikustaw.gov.pl/DU/2020/522.
[10] ministry of Health, http://dziennikustaw.gov.pl/DU/2020/566.
[11] Ministry of Science and Higher Education, http://dziennikustaw.gov.pl/DU/2020/405.
[12] Ministry of National Education, http://dziennikustaw.gov.pl/DU/2020/410.
[13] https://www.gov.pl/web/koronawirus/lista-szpitali.
[14] Polish Development Fund (Polski Fundusz Rozwoju Przewodnik Antykryzysowy dla Przedsiębiorców 02.04.2020), https://pfr.pl/tarcza.
[15] Polish Development Fund (Polski Fundusz Rozwoju Przewodnik Antykryzysowy dla Przedsiębiorców 05.05.2020), https://pfr.pl/tarcza.
[16] Central Bank of Poland (Narodowy Bank Polski), https://www.nbp.pl/home.aspx?f=/polityka_pieniezna/dokumenty/komunikaty_rpp.html.
[17] Ministry of Health, http://dziennikustaw.gov.pl/DU/2020/673.
[18] http://dziennikustaw.gov.pl/DU/rok/2020/pozycja/697.
[19] http://dziennikustaw.gov.pl/DU/rok/2020/pozycja/792.
[20] http://dziennikustaw.gov.pl/DU/rok/2020/pozycja/780.
[21] http://dziennikustaw.gov.pl/DU/rok/2020/pozycja/779.
[22] http://dziennikustaw.gov.pl/DU/rok/2020/pozycja/878.
[23] http://dziennikustaw.gov.pl/DU/rok/2020/pozycja/871.
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Income Inequality in Transition. New Results for Poland Combining Survey and Tax Return Data
We re-examine the evolution of income inequality in Poland in the process of post-socialist transition focusing on the previously neglected problem of under-coverage of top incomes in household survey data. Multiple statistical techniques (Pareto imputation, survey reweighting, and microsimulation methods) are applied to combined household survey and tax return data in order to obtain top-corrected inequality estimates. We find that the top-corrected Gini coefficient grew in Poland by 14-26% more compared to the unadjusted survey-based estimates. This implies that over the last three decades Poland has become one of the most unequal European countries among those for which top-corrected inequality estimates exist. The highest-income earners benefited the most during the post-socialist transformation: the annual rate of income growth for the top 5% of the population exceeded 3.5%, while the median income grew on average by about 2.5% per year. This brief summarizes the results presented in Brzezinski et al. (2019).
Introduction
There is a large economic literature documenting income inequality changes experienced by former communist countries during their post-1989 transformations. While in Russia and in many post-Soviet economies, inequality exploded during the transition, Poland is often perceived as a country where inequality grew rather moderately. However, these conclusions may be unreliable as they are based on inequality measures estimated using income data only from household surveys.
Many recent studies show that surveys are plagued by significant under-coverage of top incomes, which leads to a severe downward bias of the inequality estimates. Several approaches have been proposed to correct for this problem. One of them is to combine survey data with income information taken from administrative sources such as tax returns. While top-corrected inequality estimates have been produced for many advanced economies, transition countries received little attention in this context so far.
For Poland, Bukowski and Novokmet (2019) provided series of top income shares estimated using tax data. However, their estimates are constructed for gross (pre-tax) income distributed among tax units. This kind of income concept deviates considerably from the primary measure of the standard of living analysed in income distribution literature, namely disposable equivalized household income defined for the entire population. Estimates based only on tax data are not directly comparable to standard survey-based measures, which makes it difficult to decide which of the two kinds of results are closer to the underlying inequality trends and levels.
In a recent paper (Brzezinski, Myck, Najsztub 2019), we provide the first estimates of top-corrected inequality trends for real equivalized disposable incomes in Poland over the years 1994-2015. These estimates can be readily compared with standard survey-based estimates available from Statistics Poland or from Eurostat. Our analysis re-evaluates distributional consequences of post-socialist transition in Poland.
According to the standard view, the Polish transition to a market economy was an almost unqualified success story. Poland managed to achieve fast and stable economic growth (around 4.3% per year since 1994) that was at the same time broadly inclusive and shared rather equally by various social classes and segments of the income distribution. Survey-based estimates suggest that the Gini index for Poland has not increased significantly since 1989 and reached the average level among the EU countries in 2015. In contrast to the standard view, our top-corrected results show that the inequality of living standards in Poland grew sharply over 1989-2015. The adjusted Gini index grew by 4-8 p.p. to a level that ranks Poland among the most unequal European countries for which comparable estimates exist.
Data and Methods
We use data from two sources. Our survey income data comes from the representative Polish Household Survey (PHBS) conducted annually by Statistics Poland since 1957. We use the PHBS data for 1994-2015 as the pre-1994 surveys do not contain data on individual incomes (required for our microsimulation modelling) and 2015 is the last year for which estimates of tax-based inequality measures are available. We adjust the baseline PHBS survey weights to match the census-based number of males and females by age groups (population weights). We also create a further adjusted set of weights to match the number of PIT payers in each tax bracket according to the Polish tax scale (tax weights).
Our main income variable is real equivalent household disposable (post tax and transfer) income. We obtain it from the Polish microsimulation model SIMPL applied to the PHBS data. The microsimulation model allows us to construct a gross (before PIT and employee SSCs) income distribution among the tax units, which is unavailable in the raw PHBS data. This is crucial as it is the gross income distribution between tax units to which we impute top incomes estimated using tax-based statistics.
Our second data source is the series of tax-based top income shares for Poland taken from Bukowski and Novokmet (2019). To construct top-corrected inequality estimates, we follow the methodological approach of Bartels and Metzing (2019). Using the microsimulation model applied to the PHBS data we obtain the distribution of gross income among tax units (individuals). In the next step, we use data on top income shares to estimate the parameters of a Pareto distribution for gross income distribution in terms of tax units. Then, we replace the top 1% (or 5%) of tax units’ incomes with the incomes implied by the estimated Pareto distribution. The resulting imputed gross distribution is subsequently reweighted using either population or tax weights. After imputing top incomes, we again use the microsimulation approach to compute top-corrected real equivalized household net incomes.
Corrected Income Inequality Trends
Note: Vertical lines show 95% confidence
Figure 1 presents our income inequality estimates in terms of the Gini coefficient. For the period 1994-2005, we present two top-corrected series, which can be considered as lower and upper bound estimates of the “true” Gini. The results for this period are more uncertain as they are affected by the 2004 tax reform in Poland that introduced an optional flat tax for non-agricultural business income, which reduced the marginal tax rate for the highest income taxpayers from 40% to 19%. Research suggests that before the reform the problems of tax evasion and avoidance could have been more pronounced in Poland and some of the top incomes were unreported or under-reported. The upper bound series on Figure 1 corrects for the possible higher tax evasion and avoidance before 2005.
The unadjusted Gini series suggests that income inequality in Poland was rather stable over 1994-2015. On the other hand, our top-corrected series point to a very different story. Until 2005, our two correction procedures show similar inequality trends, but somewhat different levels. After 2005, our corrected series shows systematic and high divergence between unadjusted and top-corrected Ginis ranging from 4 to 8 p.p. The top-corrected Ginis increase in the range from 14 to 26% over 1994-2015. While according to the unadjusted data Poland is only moderately unequal, the comparison of top-corrected estimates shows that in 2015 Poland has higher level of income inequality than even high-inequality EU countries such as Germany, Spain or UK.
We also show that each percentile of the disposable income distribution in Poland saw income increases in absolute terms between 1994 and 2015. This implies that on average the incomes of all social groups increased during the transition to market economy. However, these gains were shared unequally. According to our adjusted estimates, the cumulative growth in real income over 1994-2015 for the top 1% of Poles reached 122-167%, while for the bottom 10% the corresponding number is at most 57%.
Redistribution and Progressivity of the Tax System
We also analyse how our correction procedures affect measures of redistribution and progressivity of direct taxation (income taxes, employees’ mandatory social security contributions, and health insurance). The top-corrected estimates show that the percentage reduction in the Gini index due to social insurance contributions and PIT has fallen from 19.2% in 1999 to 11.6% in 2015.
While the unadjusted series suggests that the progressivity of the Polish system of PIT and social insurance contributions has decreased only mildly over time, the top-corrected series points to a much steeper fall, especially during 2005-2009. Without the top-correction, the progressivity in 2015 is overestimated by 2.3 p.p. (or by 40%). Much of the decline in tax progressivity over 2005-2009 is due to the reduction from three PIT brackets and marginal tax rates to just two brackets and rates (18% and 32%) in 2009. Even in terms of the unadjusted data, Poland ranks in the recent years as the country with the lowest PIT and SICs progressivity in the EU.
Conclusion
Our recent paper on estimating the top-corrected measures of income inequality shows that while Poland was already a relatively unequal country in the early 1990s, it has become one of the most unequal European countries (not including Russia) among those for which comparable estimates exist. The results have important implications for the assessment of the distributional consequences of post-socialist transformations or modernization processes in emerging countries. They indicate that using income tax data and imputation or reweighting techniques to account for the problem of missing top incomes in survey data can significantly alter the conclusions about income inequality levels and trends. More reliable inequality estimates would contribute not only to a better understanding of economic transformation and modernization processes but could also shed some light on recent political turmoil in many transition and emerging countries (such as Turkey, Hungary or Poland). As suggested by some recent research, the growing distributional tensions in emerging countries of Eastern Europe and Central Asia may be associated with more distrust in governments and an increased propensity to vote for radical political parties.
Acknowledgements
The authors gratefully acknowledge the support of the Polish National Science Centre (NCN) through project number: UMO-2017/25/B/HS4/01360. For the full list of acknowledgements see Brzezinski et al. (2019).
References
- Bartels, C., Metzing, M. (2019). An integrated approach for a top-corrected income distribution. The Journal of Economic Inequality, 17(2), 125-143.
- Brzezinski M., Myck M., Najsztub M. (2019), Reevaluating Distributional Consequences of the Transition to Market Economy in Poland: New Results from Combined Household Survey and Tax Return Data. IZA DP No. 12734.
- Bukowski P., Novokmet F. (2019), Between Communism and Capitalism: Long-Term Inequality in Poland, 1892-2015. CEP Discussion Paper No 1628 June 2019.
From Partial to Full Universality: The Family 500+ Programme in Poland and Its Labour Supply Implications
The implementation of the ‘Family 500+’ programme in April 2016 represented a significant shift in public support for families with children in Poland. The programme guaranteed 500 PLN/month (approx. 120 euros) for each second and subsequent child in the family and the same amount for the first child in families with incomes below a specified threshold. As of July 2019, the benefit has been made fully universal for all children aged 0-17, an extension which nearly doubled its total cost and benefited primarily middle and higher income households. We examine the labour market implications of both the initial design and its recent fully universal version. Using the discrete choice labour supply model, we show that the initial Family 500+ benefits generated strong labour supply disincentives and were expected to result in the withdrawal of between 160-200 thousand women from the labour market. The recent removal of the means test is likely to nullify this negative effect, leading to an approximately neutral impact on labour supply. We argue that when spending over 4% of GDP on families with children, it should be possible to design a more comprehensive system of support, which would be more effective in reaching the joint objectives of low child poverty and high female employment combined with higher fertility rates.
Introduction
Following the 2015 parliamentary elections in Poland the ruling Law and Justice Party was quick to fulfill their campaign promise of implementing a generous quasi-universal family support programme. In April 2016, all families began receiving PLN 500 (approx. 120 euros) per month for each second and subsequent child, while households that passed an income means test were granted the same amount for their first or only child. At a cost of nearly PLN 22 billion (5.2 billion euros, approx. 1.1% of GDP) per year, the Family 500+ benefit became the flagship reform of the Law and Justice government’s first term.
With new elections approaching in October this year, the government announced a significant expansion of the programme in May, which made it fully universal. The extended programme is nearly twice as expensive with an additional cost of PLN 18.3 billion (4.3 billion euros) per year, valuing the whole package at over 2% of GDP. This takes the total value of financial support for families with children, including family benefits and child-related tax breaks, to 4% of GDP and it means that as far as family support is concerned, the ruling party has brought Poland from one of the lowest-spending countries in the EU to one of the highest over the course of 4 years.
The initial design of the benefit had a significant impact on childhood poverty in Poland, with an absolute and relative decrease from 9.0 to 4.7 percent and 20.6 to 15.3 percent respectively between 2015 and 2017 (GUS, 2017). While a more targeted design could have made a far greater impact, these changes still reflect a significant improvement in the material situation of families with children. The policy may have also had a modest upward effect on fertility rates in the first years following its implementation, although this is difficult to assess given the parallel roll out of several other fertility-oriented policies and other changes which could have played a role in family decisions. Simultaneously, as argued in the ex-ante analysis by Myck (2016) and ex-post analysis by Magda et al. (2018), these positive outcomes came at the cost of reduced female labour market participation. This reduction primarily affected women with both lower levels of education and living outside of large urban areas (Myck and Trzciński, 2019).
The Family 500+ Reform: Design and Distributional Implications
The initial Family 500+ programme directed funds to 2.7 million families in addition to any already existing financial support and has been excluded from other means-tested support instruments. Since families that had a net income of less than PLN 800 per month per person could receive the benefit for the first or only child, the policy had a distinct redistributive element and meant that the bottom half of the income distribution received nearly 60% of the funds. However, the design was characterised by clear labour market disincentive effects, which were particularly strong for second earners and single parents.
In a one-child household (53.3 percent of families with children, GUS, 2016) with the first earner bringing in an income equivalent to 125% of the national minimum wage, the second earner needed only to earn PLN 940 per month in order for the family to cross the means test threshold and stop receiving the Family 500+ benefits. The benefit design is presented in Figure 1 in the form of budget constraints for the first earner (Case A) and the second earner (Case B) in a couple with one child. In the latter case the first earner is assumed to receive earnings equivalent to 125% of the minimum wage. The disincentive effects of the means test are clear in both cases and we can see that for the second earner, the benefit withdrawal comes at a very low income level – far below the national minimum wage of PLN 2100 per month. The “point withdrawal” of the benefit implied that it was enough for the family to marginally exceed the means test threshold for it to completely lose eligibility for the Family 500+ support for the first child.
The expansion of the Family 500+ programme, which came into effect in July 2019, eliminated the means-tested threshold thus making the policy fully universal. It came, however, at the cost of the redistributive character of the programme. Over 32% of the additional expenditure resulting from the universal character of the policy has been passed on to the top quintile of the income distribution and in its new version, the bottom half of households only receive 45 percent of all spending. The expansion of the programme is thus unlikely to further reduce child poverty significantly and – since its beneficiaries are mainly families with middle and high incomes – it is not expected to bring noticeable changes in fertility levels.
Source: Authors’ calculations using the SIMPL microsimulation model.
Partial and Full Universality of the Family 500+ Programme and the Implications on Female Labour Supply
With the use of modelling tools to simulate the labour market response to changes in financial incentives to work, we have updated the initial simulations of Myck (2016) using the latest pre-reform data and examined the simulated labour supply decisions to the expanded fully universal programme, as if it were implemented instead of the initial version of the benefit. The analysis was conducted with data from the 2015 Polish Household Budget Survey, a detailed incomes and expenditure survey conducted annually by the Polish Central Statistical Office.
Results of the simulations are presented in Table 1. Simulations were conducted separately for single women, and under two scenarios for women in couples assuming that both partners adjust their behaviour (Model A) and that the labour market position of the male partner is unchanged (Model B). The simulated labour supply response to the initial reform confirms the magnitude of earlier results and suggests an equilibrium effect of 160-200 thousand women leaving the labour force. This is also consistent with results presented by Magda et al. (2018), who found that female labour market participation decreased by approx. 100 thousand women after the policy had been in place for one year.
However, as we can see in the right-hand part of Table 1, the response to a fully universal design – modelled as if it was introduced in 2016 instead of the means-tested version – is essentially neutral. For single mothers the reduction is only about 3000, while for women in couples, the model suggests a small positive reaction under the Model A specification and a small negative one under Model B. In total, the universal design of Family 500+ benefits can be described as labour supply neutral. Since the reaction has been modelled on pre-reform data, and because some women have already withdrawn from the labour market after the introduction of the initial benefit design in 2016, the remaining uncertainty is whether the new set of incentives will motivate these mothers sufficiently to return to work.
Conclusion
The introduction and subsequent expansion, of the Family 500+ programme has substantially increased financial resources of families with children in Poland. The policy rollout of the initial, partially universal programme has seen substantial changes in the level of child poverty in Poland and may have contributed to a modest increase in fertility in the initial years following the introduction of the reform. The means-tested design of the benefit, however, incentivised a significant number of women to leave the labour market. One year after the introduction of the policy approximately 100,000 women were estimated to have left the labour market (Magda et al. 2018), while the equilibrium effect of the policy suggested long-run implications of over 200,000 (Myck, 2016). The updated simulation results using the latest available data suggest slightly lower, though still substantial equilibrium implications of the initial partially universal design of the Family 500+ programme in the range of between 160,000-200,000. However, as we show in our latest analysis, these labour market consequences could be reversed after the expansion of the programme to a fully universal set-up. The simulated effects of the universal design of the programme, which has been in place in Poland since July 2019, modelled as if it was implemented instead of the initial means-tested version, are broadly neutral for female labour supply. The only question is how likely the mothers who left employment in response to the initial policy will return to work given the new set of financial incentives. Considering these positive implications of the fully universal programme, one has to bear in mind that the extended programme, which will cost over PLN 40 bn per year (approx. 2% of GDP), is unlikely to contribute to the other key objectives set by the government, namely reducing child poverty and increasing fertility. Including the Family 500+ programme, the Polish government currently spends about 4% of GDP on direct financial support for families with children. Given the design of the policies which make up this family package, it seems that the joint objectives of higher fertility, reduced poverty and higher female employment could be achieved more effectively under a reformed structure of support that would be better targeted at poorer households, include specific employment incentives, and incorporate support for childcare, early education and long-term care.
Acknowledgements
This brief summarizes the results presented in Myck and Trzciński (2019). The authors gratefully acknowledge the support of the Swedish International Development Cooperation Agency, Sida, through the FROGEE project. For the full list of acknowledgements see Myck and Trzciński (2019).
References
- Goraus, K. and G. Inchauste (2016), “The Distributional Impact of Taxes and Transfers in Poland”, Policy Research Working Paper 7787, World Bank.
- GUS (2016), “Działania Prorodzinne w Latach 2010-2015”, Główny Urząd Statystyczny – Polish Central Statistical Office, Warsaw.
- GUS (2017), “Zasięg ubóstwa ekonomicznego w Polsce w 2017r.”, Główny Urząd Statystyczny – Polish Central Statistical Office, Warsaw.
- Magda, I., A. Kiełczewska, and N. Brandt (2018), “The Effects of Large Universal Child Benefits on Female Labour Supply”, IZA Discussion Paper No. 11652, IZA-Bonn.
- Myck, M. (2016), “Estimating Labour Supply Response to the Introduction of the Family 500+ Programme”, Working Paper 1/2016, CenEA. Jacobson, L., LaLonde, R. and Sullivan, D. (1993). “Earnings losses of displaced workers”, American Economic Review, 83, pp. 685–709.
- Myck, M. and Trzciński, K. (2019) “From Partial to Full Universality: The Family 500+ Programme in Poland and its Labor Supply Implications”, Ifo DICE report 3 / 2019.
The Polish 1999 Administrative Reform and Its Implications for Inclusive Regional Development
On 1 January 1999, four major reforms took effect in Poland in the areas of health, education, pensions and local administration. After 20 years, only in the last case does the original structural design remain essentially unchanged. We examine the implications of this reform from the perspective of the distance of municipalities from their regional administrative capitals. We show that despite fears of negative consequences for municipalities which ended up on the periphery with respect to their post-reform administrative centres, the reform did not result in slower socio-economic development in these regions. We argue that regional inclusiveness in the process of development is likely to be an important factor behind the stability of Poland’s administrative design.
Introduction
Four major reforms took effect on 1 January 1999 in Poland, substantially changing the structure of healthcare, education, the pension system and local government administration. The extent of the changes and the fact that all four reforms were implemented on the same day could in fact be considered as representing a symbolic final step of the Polish socio-economic transition which had started nearly ten years earlier. However, in 2019, twenty years after the reforms took effect, the originally introduced structural design remains unchanged in only one of the four areas – local government.
In a recent paper (Myck and Najsztub, 2019) we take a close look at the implications of the 1999 administrative reform treating it as a form of a “natural experiment” and analysing its consequences for socio-economic development dynamics in municipalities, which ended up on the periphery with respect to their post-reform administrative capitals. Using a broad set of indicators we find that the reform did not have significant negative consequences for these municipalities and ensured inclusive development at the regional level. This might be an important factor which has determined the longevity of the administrative design implemented in 1999.
The local administrative design in Poland before and after 1999
Major administrative reforms are relatively infrequent, which makes the scope and scale of the one implemented in Poland on 1 January 1999 a rather unique point of reference for analysis of potential implications of administrative restructuring. The reform went far beyond the administrative rearrangement of local government, as it was the culmination of a process that reintroduced local autonomy to the Polish political system.
The goal of the reform was to further decentralise political power and increase public finance transparency. The middle tier of local government – the counties (powiats) – was reintroduced as a body responsible for the administration of institutions beyond the scope of a single municipality (e.g. hospitals, secondary schools, public roads, unemployment). At the same time the number of top tier administrative regions – the voivodeships – was reduced from 49 to 16, and their responsibilities were focused on overall regional development, higher education, regional infrastructure and the prospective management of EU funds. In the end, the reform resulted in the formation of 16 voivodeships, 308 counties, 66 towns with county status and 2478 municipalities. This administrative division of Poland has been in place, with minor modifications, since 1 January 1999 (for details and comments, see Blazyca et al. (2002), Regulski (2003) and Swianiewicz (2010)).
The reform implied the loss of regional administrative capital status for 31 cities (administration in two voivodeships, Lubuskie and Kujawsko-Pomorskie, is split between two capitals), and for nearly 60% of municipalities it resulted in an increase in the distance to their regional administrative centre compared with the pre-reform arrangement. These features of the reform are illustrated in Figure 1. Cities marked in blue used to be administrative capitals before 1999, while those marked in red maintained their status after the reform. The blue rays show the distance of municipalities from their respective administrative capitals before 1999, with the post-1999 distances marked in red. In the case of the two new voivodeships where two cities received capital status (Lubuskie and Kujawsko-Pomorskie), we measure the distance to the city that became the site of the regional government (sejmik wojewódzki), which is the key institution responsible for regional development.
Figure 1. Administrative arrangements in Poland before and after the 1999 administrative reform: voivodeships, capitals and distance from municipalities to regional administrative centres.
Notes: Blue rays show the distance of municipalities to their respective administrative capitals before 1999; the post-1999 distances to regional administrative centres is marked in red. Distances (in straight lines) between centroids of municipalities.
Source: BDL, own calculations.
Identifying implications of the reform for regional capitals and peripheral municipalities
An important concern related to the introduction of the reform was first, its consequences for the voivodeship capitals which lost this status due to the reduced number of top-tier regions. Secondly, at the level of municipalities, the question was whether the redesign of the administrative network would result in any negative changes of development dynamics in municipalities, which as a result of the reform landed on the periphery with respect to the new voivodeship capitals. In Myck and Najsztub (2019) we consider both of these concerns looking at a number of indicators of socio-economic developments, including population dynamics, local government finances as well as the intensity of nighttime lights measured by satellites, which has recently been treated in the literature as an overall proxy for economic development (Henderson et al., 2012; Pinkovskiy and Sala-i-Martin, 2016). We look at each of these problems using the difference-in-differences approach. In the first instance we compare the developments before and after the reform for voivodeship capitals, which maintained the status and those which did not, and in the latter we look at municipalities for which the distance to their administrative capital increased relative to those for which it remained unchanged or fell.
In the case of voivodeship capitals, due to the obvious differences between the two groups of pre-1999 capitals which in the end determined their post-reform status, our estimates can only be treated as descriptive. In the second case though, since municipalities had little choice with regard to their assignment to the new voivodeships, the results can safely be interpreted as causal. To address the differences between the two groups of municipalities, we apply the entropy balancing method of matching to ensure pre-reform uniformity in the distribution of the analysed municipality characteristics (Hainmueller, 2012; Adda et al., 2014). A summary of the results of both sets of estimations is presented in Table 1 where we show the difference-in-differences coefficients for six socio-demographic outcomes. The estimation period covers the years 1995-2012.
As we can see in Table 1 the only consistently negative and significant coefficient which we find in the two main specifications concerns net migration. Other than that, the results seem to go against the initial concerns with positive coefficients on own revenues, which are statistically significant in the case of the voivodeship capitals, though not in the case of peripheral municipalities. Results for the intensity of nighttime lights are negative in both cases but are not statistically significant. Particularly in the case of peripheral municipalities – where as we argued we can treat the results as causal – we find no evidence of major negative implications of the reform for socio-economic dynamics. This result, as we show in Myck and Najsztub (2019) is confirmed in a number of robustness tests.
Table 1. Diff-in-diff regression estimates for voivodeship capitals and municipalities
Outcome | Voivodeship capitals: effect of loss of regional capital status | Municipalities: increased distance to administrative capitals | ||||
Coeff. | t-stat. | Signif. | Coeff. | t-stat. | Signif. | |
Population | ||||||
Births, log | -0.139 | (-5.718) | *** | -0.000 | (-0.027) | |
Deaths, log | 0.020 | (1.339) | 0.002 | (0.160) | ||
Net migration, pers. | -1.902 | (-2.906) | ** | -12.579 | (-2.372) | * |
Finances | ||||||
Own revenues, p.c. log | 0.076 | (1.872) | + | 0.024 | (1.028) | |
Own non-capital revenues, p.c. log | 0.136 | (2.307) | * | 0.033 | (1.246) | |
Economic indicators | ||||||
Total lights, p.c. log | -0.028 | (-1.396) | -0.002 | (-0.049) | ||
Number of observations: | 882 | 43218 |
Note: + p < 0.10, * p < 0.05, ** p < 0.01, *** p < 0.001; standard errors clustered at the municipality level. Monetary values in real 2005 PLN terms. Values in log in cases where the dependent variable is log-normally distributed. Per capita estimations (p.c.) weighted by population size. All estimations include capital/municipality and time fixed effects.
Source: Authors’ calculations using data from the Local Data Bank (Bank Danych Lokalnych, BDL; data on population and finances) provided by the Polish Central Statistical Office (GUS) and nighttime lights data provided by the National Oceanic and Atmospheric Administration (NOAA) (Elvidge et al., 2009; National Geophysical Data Center (NGDC), 2010). Data for years 1995-2012.
The socio-economic development in central and peripheral municipalities with respect to the new voivodeship capitals seems therefore to be unaffected by the reform. Importantly also, despite concerns about the marginalization of the cities which lost the voivodeship capital status in 1999, their socio-economic performance has not been much worse compared to those which remained capitals and received greater administrative responsibilities and budgets to manage. From this point of view, the stability of the structure of Poland’s local government and the longevity of the administrative design implemented in 1999 should not be surprising. The claims of the need to change the Polish administrative design and promises of changes resurface at each parliamentary election. These promises have so far been left unmet and inclusivity of socio-economic development at the regional level that followed the reform is likely to be an important factor behind this.
Acknowledgements
The authors gratefully acknowledge the support of the Polish National Science Centre through project no. 2016/21/B/HS4/01574. For the full list of acknowledgments see Myck and Najsztub (2019).
References
- Adda, Jérôme, McConnell, Brendon, Rasul, Imran, 2014. Crime and the depenalization of cannabis possession: evidence from a policing experiment. Journal of Political Economy 122, 1130-1202. doi:10.1086/676932
- Blazyca, G., Heffner, K., & Helińska-Hughes, E. (2002). Poland – Can Regional Policy Meet the Challenge of Regional Problems? European Urban and Regional Studies, 9(3), 263–276. doi:10.1177/096977640200900305
- Elvidge, Christopher D., Ziskin, Daniel, Baugh, Kimberley E., Tuttle, Benjamin T., Ghosh, Tilottama, Pack, Dee W., Erwin, Edward H., Zhizhin, Mikhail, 2009. A fifteen year record of global natural gas flaring derived from satellite data. Energies 2, 595-622. doi:10.3390/en20300595
- Hainmueller, Jens, 2012. Entropy balancing for causal effects: a multivariate reweighting method to produce balanced samples in observational studies. Political Analysis 20, 25-46. doi:10.1093/pan/mpr025
- Henderson, J. Vernon, Storeygard, Adam, Weil, David N., 2012. Measuring economic growth from outer space. American Economic Review 102, 994-1028. doi:10.1257/aer.102.2.994
- Myck, M. and Najsztub, M., 2019. Implications of the Polish 1999 administrative reform for regional socio-economic development. CenEA Working Paper 1/2019.
- National Geophysical Data Center (NGDC), 2010. Version 4 DMSP-OLS night-time lights time series. https://ngdc.noaa.gov/eog/dmsp/downloadV4composites.html. Accessed 15 June 2015.
- Pinkovskiy, Maxim, Sala-i-Martin, Xavier, 2016. Lights, camera … income! Illuminating the national accounts–household surveys debate. The Quarterly Journal of Economics 131, 579-631. doi:10.1093/qje/qjw003
- Regulski, Jerzy, 2003. Local Government Reform in Poland: An Insider’s Story. Local Government and Public Service Reform Initiative, Budapest.
- Swianiewicz, Paweł, 2010. If territorial fragmentation is a problem, is amalgamation a solution? An East European perspective. Local Government Studies 36, 183-203. doi:10.1080/03003930903560547
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Unemployment in Transition and Its Long-Term Consequences
We examine the relationship between the experience of unemployment in the early years of the socio-economic transition in Poland and a number of wellbeing measures about two decades later. The analysis takes advantage of the rich content of data from the Survey of Health, Ageing and Retirement in Europe (SHARE) by matching retrospective information on labour market experiences with outcomes observed in the survey after year 2006. While there is a strong correlation between unemployment and general wellbeing measures such as life satisfaction, depression and subjective assessment of material conditions, the relationship cannot be interpreted as causal. On the other hand, we find that unemployment in the early years of the transition has strong, negative, long-term consequences for income and house ownership. The analysis sheds light on the implications of unemployment and on the nature of job losses in the follow-up of the Polish ‘shock-therapy’.
Introduction
Next year, the countries of Central and Eastern Europe will celebrate the 30th anniversary of the political breakthrough and the beginning of a major socio-economic transformation which followed. In the Polish case, the ‘shock therapy’ approach to the reform process implemented by the Mazowiecki government, though not without faults, has generally been viewed as the origin of the country’s economic success story. Afterwards, Poland experienced nearly three decades of uninterrupted economic growth and the Polish GDP returned to its pre-reform level already in 1995.
However, discussions of negative implications of the reform package still fuel the academic discourse as well as the political debate. While the majority of the population managed to avoid significant economic difficulties, many families experienced the painful hardship of the transition period in the form of job losses, poverty and exclusion. Given the scale of the socio-economic change, surprisingly little is known about the long-term consequences of individual experiences at that time. In particular, it is unclear if the negative outcomes observed many years after the reforms started can be causally linked to individual experiences in the early 1990s.
This lack of evidence is not unique for Poland and is largely due to unavailability of good individual-level data spanning the time before and after the collapse of communism. Since the transition cannot be lived through again, we shall never know how socio-economic conditions would have looked like under numerous alternative reform scenarios. However, as we show in a recent paper (Myck & Oczkowska, 2018), much can be learnt from the combination of contemporary and retrospective information on the nature of labour market histories during the transition and their relationship to outcomes recorded many years later.
The analysis presented in Myck and Oczkowska (2018) relies on the treatment of the systemic changes in the early 1990s as a major exogenous shock and on differentiating between reasons behind individual experiences of unemployment. We demonstrate that the observed strong correlation between unemployment in the initial years of the transition and a number of subjective wellbeing measures in later life is endogenous, and may reflect unobservable individual characteristics. It seems plausible to argue that these characteristics were the reasons behind the recorded job losses once the economy was liberalised and firms could fire their least productive employees.
Work histories in the SHARE dataset
The analysis is based on individual-level data from the Polish part of the Survey of Health, Ageing and Retirement in Europe (SHARE). SHARE is a multidisciplinary biennial panel survey focusing on individuals aged 50 years and over. Since the start of the project in year 2004 seven waves of data have been collected, and the survey was conducted in Poland in waves 2, 3, 4, 6 and 7. While the standard waves of the survey focus on contemporary conditions of respondents such as health, economic conditions, labour market activity and social networks, in wave 3 (the so-called SHARE-Life), participants were asked about their life histories including their family history, mobility and labour market experiences. The detailed labour market histories recorded in SHARE-Life allow us to identify transition-related job losses, which can be matched with current information on several measures of material conditions and wellbeing for the same individuals.
In Figure 1 we present labour market profiles since 1988 of those in the sample who were working prior to the start of the reform process.
Figure 1. Labour market status 1988 – 2008 conditional on working in 1988 in Poland
Source: Myck and Oczkowska, 2018.
The figure shows that along with rapidly increasing unemployment rates, the degree of inactivity of the Polish population grew substantially in the two decades following the transition. This data confirms that in the follow-up of the ‘shock-therapy’ reforms many individuals faced unemployment, while others, especially among older groups of employees, used several other labour market exit options, such as retirement or disability.
Analysing long-term consequences of economic shocks
To examine the role of unemployment experiences in the initial years of the transition for outcomes observed a few decades later, we use data from waves 2, 3 and 4 of the SHARE study. The analysis focuses on two groups of later-life outcomes – objective measures of material conditions such as household income, real assets and house ownership, and subjective indicators of wellbeing such as life satisfaction, depression or reporting difficulties in making ends meet.
We are able to control for an extensive set of individual characteristics which are usually unobservable to the researcher, through a complex set of background variables available in SHARE. These include respondents’ childhood conditions, parental background as well as health and labour market experience prior to 1988. With regard to the experience of unemployment we differentiate the instances of unemployment between the initial (1989-1991) and later (1992-1995) period of the transition to examine the potential differential implications of the rapid pace of the reforms in the early 1990s. Most importantly though, the data allows us to distinguish between different reasons behind job losses and we can separately examine the relationship with plant/office closures and other reasons for unemployment. Following other examples in the literature (Farber, 2011; Jacobson et al., 1993), we argue that plant closures can be treated as reasons for exogenous job separations. This in turn allows us on the one hand, to give a causal interpretation to the estimated coefficients, and on the other, to interpret those on other reasons for unemployment in the light of the causal relations.
Effects of unemployment experience on later-life outcomes
We find that experiencing unemployment due to plant/office closure between 1989 and 1991 is associated with almost a 30 percent lower level of household income and a lower probability of house ownership of about 10 percentage points (pp) some two decades afterwards. There is also a strong relationship between unemployment in the early years of the transition and wellbeing measures two decades later – individuals who experienced unemployment in the first three years of the transition have a 14 pp. higher likelihood of reporting great difficulties in making ends meet, a 10 pp. lower probability of high life satisfaction and a 11 pp. higher likelihood of depression. However, since these relations do not hold for unemployment due to plant closures, they cannot be treated as causal. The results are therefore most likely driven by unobserved factors which simultaneously determine the lower level of outcomes two decades after the ‘shock-therapy’ reforms, and the likelihood of experiencing unemployment in the early 1990s.
Conclusion
In this policy brief we outline recent results on long-term implications of labour market developments in the early years of the economic transition in Poland. The analysis is based on a combination of contemporary and retrospective data from the SHARE survey, and focuses on the associations between the experience of unemployment in the initial years of the transition in Poland and a number of outcomes measured about two decades later. Using plant/office closures as exogenous sources of job separations during the early 1990s, we find a strong and statistically significant, negative, long-term effect on income and home ownership, which can be treated as causal.
We also find strong negative associations between unemployment for other reasons than plant / office closures and a number of subjective measures of wellbeing. This relationship however, does not hold for the exogenous reasons for job losses, which suggests an important role of unobservable factors that lead to unemployment and at the same time are responsible for the lower level of outcomes in later life. This is consistent with the labour market reality of central planning characterised by labour hoarding and maintaining employment regardless of workers’ productivity. When the economic reality changed in 1989, the least productive individuals were the first to be fired, and as our analysis shows, these are also the individuals with lower subjective levels of wellbeing two decades later. We confirm thus that those who lost their jobs in the early 1990s have lower measures of the subjective wellbeing outcomes, although the latter cannot be identified as specific consequences of unemployment in the first years of transition.
References
- Farber, H. (2011). “Job loss in the great recession: historical perspective from the Displaced Workers Survey, 1984-2010”, NBER Working Paper No. 17040, National Bureau of Economic Research.
- Jacobson, L., LaLonde, R. and Sullivan, D. (1993). “Earnings losses of displaced workers”, American Economic Review, 83, pp. 685–709.
- Myck, M. and Oczkowska, M. (2018). “Shocked by therapy? Unemployment in the first years of the socio-economic transition in Poland and its long-term consequences”, Economics of Transition, 26(4), pp. 695-724.
Acknowledgement
The authors gratefully acknowledge the support of the Polish National Science Centre through project no. 2015/17/B/HS4/01018. For the full list of acknowledgements see Myck and Oczkowska (2018).
Poland’s Road to “High Income Country” Status: Lessons Learnt – Not Only for Other Countries
In this brief we summarize and discuss results presented in a recent World Bank Report focused on Poland’s path from middle to high-income country status. In the period until 2015, Poland’s economic development distinguished itself by its stability and consistency of the implemented reform package, and its inclusive nature. Poland became classified as a high-income country after only 15 years from gaining a middle-income status. At the same time, income inequality remained stable and absolute poverty levels fell significantly. The World Bank Report offers lessons from and insights for Poland, which are discussed from the perspective of the policies implemented by the governments in the last two years.
Poland’s status in the World Bank nomenclature has recently been “upgraded” from being middle to high-income country. While this categorization is only a nominal change, it reflects the country’s economic development over the recent decades and is an important recognition of the success of a wide range of reforms implemented across a broad number of areas. Notably, Poland moved from the middle to high-income status in a period of less than 15 years.
In a book recently published by the World Bank, it is argued that the Polish experiences from the reform process can serve as valuable lessons for countries that are in the process of, or have just embarked upon major socio-economic reforms, as well as for those, who have fallen into the so-called middle-income trap and are looking for solutions to their stagnant economies. At the same time, in comparison to other established high-income countries, there are a number of insights that Poland’s policy makers ought to bear in mind in order to stay on course of the reform process and continued stable growth.
Looking at policies of the recent governments, however, one gets a strong impression that some important insights have been ignored. As rapid population aging looms over the horizon, the lack of necessary adjustments combined with the risks to stability of the political and economic environment might in the medium run have significant implications for Poland’s further development.
The big picture
The key feature of the Polish socio-economic policy approach, over the period covered by the World Bank analysis (i.e. up to 2015), was a unique consistency of a broad direction taken by subsequent administrations. This allowed the reform process to develop without major breaks or U-turns, which ensured the overall stability of the socio-economic environment and provided stable investment prospects. The World Bank highlights the key role of institutions, including rule of law, property rights, and democratic accountability of different levels of government. Basic market institutions, including the respect for rules on price and product regulations, corporate governance and market regulations, as well as foreign trade and investment, have played a crucial role. This framework allowed for continued improvement in the efficiency of resource allocation – including the allocation between sectors of the economy, as well as between and within enterprises.
Crucially, Poland prepared well and took full advantage of the integration with the European Union. The EU accession was first used as a common anchor for stability of the reform process, and after 2004, the European funds became an additional engine of growth. At the macro level, stability of the fiscal framework with limited deficits and public debt were combined with appropriate regulation and supervision of the financial sector, an independent central bank, and close links to global markets.
Shared prosperity
While the above points provided the basis for Poland’s economic development, the Report highlights another unique feature of Poland’s success, namely the degree to which the fruits of the process have been equally shared among different groups of society. The overall income inequality has remained relatively stable, with the Gini coefficient actually falling slightly between 2005 and 2014, from 0.351 to 0.343. Relative income poverty levels remained stable over this period (at about 20%), and the levels of absolute poverty fell significantly. For example, the proportion of the population living on less than $10 per day fell from 51.3% in 2005, to 29.6% in 2014. Growing incomes were primarily driven by increases in labor earnings, but employment growth – in particular among older age groups –also made a contribution. The government’s labor market policy also played a role with a rapid increase in the level of the national minimum wage (NMW), which grew by 65% in real terms between 2005 and 2015, i.e. almost twice as fast as the average wage. While there is evidence that the rapid growth in the NMW had negative effects on employment – in particular among temporary, young, and female workers, these have been relatively modest. Additionally, the tax and benefit policy has contributed to reduced inequality. It has been estimated that nearly half of the reduction in the Gini coefficient, over the period 2005–2014, resulted from reforms of the tax and benefit system (Myck and Najsztub, 2017).
It is clear that human capital was one of the cornerstones of Poland’s success in recent years. Developments on the labor market, such as a rapid productivity growth, were facilitated by a well-educated labor force, which could respond and adjust to the changing conditions and requirements. In this regard, Poland’s advantage in comparison to many other low and middle-income countries has been the relatively high level of spending on public education and healthcare, not only since the start of the economic transformation in the 1990s, but also before that. Indicators, such as the infant mortality rate, were low in Poland already in the 1980s, and have since further improved (see Figure 1). For a long time, public spending on education has been at levels comparable to those in established high-income countries (see Figure 2). Additionally, a series of reforms to the education system since 1990, have resulted in improvements in the quality and coverage of education. This, in turn, has lead to a rapid improvement of scores in language, mathematics, and science in the PISA study (Programme for International Student Assessment), in which Polish students recently outperformed those from many other OECD countries (OECD 2014). Importantly, the improvements in the education results have been found across the socio-economic spectrum, which further stresses the inclusive character of the changes that have taken place.
Figure 1. Infant mortality rate (per 1,000 live births), 1980 and 2014
Notes: Countries grouped in the following manner: red – middle-income countries; blue – new high-income countries; green – established high-income countries. Horizontal lines represent group averages. Source: World Bank (2017), Figure 5.16, based on World Development Indicators.
Figure 2. Government expenditure on education, percent of GDP, 1990
Source: World Bank (2017), Figure 5.11, see notes to Figure 1.
Insights for Poland
“As economies enter the high-income group, weakness in economic institutions such as the rule of law, property rights, and the quality of governance become increasingly important to sustain convergence.”
World Bank (2017)
While the Polish reform experience, over the period examined in the World Bank Report, offers important lessons for other countries aspiring to the high-income status, the authors point out that Poland’s continued development needs to rely on further improvements in a number of key areas. The following policy areas have been highlighted in the Report:
- Working on more inclusive political and economic institutions and enhancing the rule of law with the focus on the judiciary;
- Adjustments to fiscal policy in particular to deal with the consequences of population aging;
- Increasing the domestic level of savings to facilitate large investment needs;
- Supporting innovation through more intense competition and high quality research education;
- Improving social assistance programs and access to high quality health and education for low income groups;
- Increasing the progressivity of the tax system to support inclusive growth;
- Adjusting migration policies to bring in skills and innovative ideas and compensate for the country’s aging workforce.
“Sustaining Poland’s record of high, stable growth will require adjustments to fiscal policy (…). Government will need to create the fiscal space to deal with the increasing pressures coming from aging, the inevitable decline of EC structural funds for investment, and a more uncertain global context.”
World Bank (2017)
Lessons, insights and recent policies
While several of the Law and Justice majority governments’ policies since 2015 have been well in line with the World Bank recommendations, there have also been a number of questionable policy areas. One major concern seems to relate to the broad background of reforms of the judiciary, which have drawn significant criticism of the European Commission and other international institutions. Implications of such major changes for economic growth are uncertain but potentially very damaging.
Another long-term concern arises from the new pension age reform. From the socio-economic perspective, rapid ageing of the population is one of the main challenges facing the country. Between 2015 and 2030, the number of people aged 65+ will grow from 6.1 million to 8.6 million, i.e. by over 40%. This will put significant strains on the country’s public finances due to increasing public-pension expenditures and growing costs of health and long-term care. These pressures will only be exacerbated by the current government’s decision to lower the statutory retirement age to 60 for women and 65 for men, from the target uniform age of 67 legislated in the reform of 2012. Given the contributions-defined nature of the Polish pension system, this will result in significantly lower levels of pensions, especially among women, and a substantial drain on public finances resulting from lower levels of contributions and taxes.
The generous family benefits of the Family 500+ Program – implemented in 2016 and which cost about 1.3% of the GDP – have also been criticized on a number of grounds. They have undoubtedly changed the financial conditions of numerous families and limited the extent of child poverty. At the same time, they contribute to maintaining low levels of female labor-force participation and there is so far little indication that they have significantly changed Poland’s very low fertility rate. It seems that while the program may have positive long-term consequences resulting from reduced poverty, it is unlikely to shift the demographic dynamics.
Uncertainty also surrounds the consequences of a haphazard major education reform, which is another trademark policy of the Law and Justice party. The reform re-introduced the 8+4 system in place of the post-1999 three-level educational arrangement (6+3+3). The new system takes the number of years of general education back from 9 to 8 years, and instead extends by one year the length of secondary schooling. While the potential effects of such a change are difficult to foresee, the 8+4 system may be in particular disadvantageous to children from rural areas, who are most likely to continue their education in their rural primary schools for the two extra years.
A number of steps taken by the government since late 2015, and in particular those related to the redistributive policies implemented in the last two years, seem to be consistent with the World Bank insights. On the other hand, the approach towards the reforms of the judiciary, the general approach to the rule of law, and the reforms of education and pension regulations, quite clearly appear to ignore not only the insights, but also the lessons resulting from Poland’s own experience of the recent decades. Given the challenge of rapid aging in the Polish population, there seems to be much gained from taking them seriously if the current and future administrations want to ensure Poland’s continued inclusive growth and to secure its status as an established high-income country.
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This policy brief draws heavily on the World Bank (2017) Report: “Lessons from Poland, Insights for Poland: A sustainable and inclusive transition to high-income status” (co-authored by Michal Myck) and the accompanying Working Paper by Myck and Najsztub (2016). Views and opinions expressed in this brief are the sole responsibility of the author and are not endorsed by the World Bank or CenEA.
References
- Myck, M., and M. Najsztub (2016) “Distributional Consequences of Tax and Benefit Policies in Poland: 2005–2014.” CenEA Microsimulation Report 02/16, Centre for Economic Analysis, Szczecin.
- OECD (Organisation for Economic Co-operation and Development) (2014) PISA 2012 Results: What Students Know and Can Do—Student Performance in Mathematics, Reading and Science (Volume I: Revised edition, February 2014). Paris: OECD Publishing.
- World Bank (2017) “Lessons from Poland, Insights for Poland: A sustainable and inclusive transition to high-income status”, The World Bank, Washington.
Paid Work after Retirement – Does Quality of Your Main Job in the Past Matter?
In this brief, we summarize the results of a recent analysis focused on identifying the key determinants of engagement in paid work after retirement based on life histories data from the Survey of Health, Ageing and Retirement in Europe (SHARE). We find a strong link between the probability of work after retirement and indicators of quality of work prior to labor market exit, such as high physical and psychosocial demands, lack of control or receiving adequate social support. These results suggest a potentially important role of job-quality regulations. We find no significant association with past experience of adequate rewards with respect to efforts in the main job, which suggests that involvement in paid work after retirement may to a lesser extent be driven by financial concerns. This might mean that policy initiatives targeted at higher level of labor market activity among retirees should stress non-material aspects of employment in later life.
The collection of data in the 7th wave of the Survey of Health, Ageing and Retirement in Europe (SHARE) proceeded in 2017, and the Centre for Economic Analysis (CenEA) has recently published a report based on information collected in previous waves of the survey. The report entitled “The Polish 50+ generation in the European context: activity, health and wellbeing” examined among other issues the determinants of labor market activity of people aged 50+ with a special focus on Poland (Myck and Oczkowska, 2017).
SHARE is a panel survey conducted every two years and focuses on health conditions, material situation and social relations of the population aged 50 years and older. In 2017, in the 7th Wave, interviews were conducted with over 80,000 participants in 26 European countries and Israel. While the survey usually focuses on contemporary conditions of respondents, the interviews in Wave 3 (the SHARE-Life conducted in 2008-2009) is concerned with respondents’ life histories and topics such as family history, mobility and work histories.
In this brief, we draw on one of the chapters from the report and present results of a analysis that combines information on the quality of the main job of the respondents’ working careers, with information on engagement in paid work among retired individuals to examine key determinants of undertaking paid work after labor market exit.
Work histories in SHARE
The life-history interview includes a series of 12 questions evaluating effort-reward imbalance in the main job of individuals’ working careers (Siegrist and Wahrendorf, 2011; Siegrist et al., 2004; 2014). Based on these questions, five dimensions of the quality of the workplace were identified: physical and psychosocial demands, control, social support and reward (see Table 1). Figure 1 presents an example of the distribution of answers to one of the questions used to define these dimensions, which asked about the extent to which the respondents’ main jobs was physically demanding. Generally, men’s past main job is more often described as physically demanding than women’s. While less than half of respondents in France and Sweden claimed physically strenuous main job, the respective measure in Poland and Greece was as high as 75%.
Table 1. Dimensions of job quality
Dimension | SHARE Questionnaire Items |
Physical demands |
– „My job was physically demanding.” – „My immediate work environment was uncomfortable (for example, because of noise, heat, crowding).” |
Psychosocial demands | – „My work was emotionally demanding.”
– „I was exposed to recurrent conflicts and disturbances.” |
Control | – „I was under constant time pressure due to a heavy workload.”
– „I had very little freedom to decide how to do my work.” |
Social support at work | – „I received adequate support in difficult situations.”
– „There was a good atmosphere between me and my colleagues.” – „In general, employees were treated fairly.” |
Reward |
– „I had an opportunity to develop new skills.” – „I received the recognition I deserved for my work.” – „Considering all my efforts and achievements, my salary was adequate.” |
Notes: answer categories: “strongly agree, agree, disagree, strongly disagree”. Source: adapted from Siegrist and Wahrendorf (2011).
Figure 1. “My job was physically demanding”
Notes: includes wave 3 respondents with at least 10 years of seniority who retired by the time of wave 6; weighted. Source: own calculation based on SHARE data waves 3 (2008-2009) and 6 (2015).
Following Wahrendorf and Siegrist (2011), for the purpose of further analysis, we construct five measures of workplace quality based on the questions listed in Table 1. For each dimension of job quality, we calculate a sum-score of answers (from 1 “strongly agree” through 2 “agree”, 3 “disagree” to 4 “strongly disagree”) to selected questions, and identify the upper (lower) tertile of observations. We create five binary indicators (with 1 meaning “yes”) describing the quality of work in the sense of high physical or psychosocial demands, lack of control, and adequate social support or adequate reward. The results are presented in Figure 2 in association with the frequency of paid work after retirement.
Figure 2. Associations between quality of work in the past and frequency of paid work after retirement
Notes: includes wave 3 respondents with at least 10 years of seniority who retired by the time of wave 6 from selected countries (CZ, FR, DE, GR, PL, ES, SE); weighted. Source: own calculation based on SHARE data waves 3 (2008-2009) and 6 (2015).
In most cases the percentage of retirees engaged in paid work was significantly higher among those positively evaluating the quality of their past workplace. The only dimension where no significant difference was found in the level of involvement in paid work was between the retirees who estimated rewards at work as adequate to their efforts and those who assessed them otherwise.
What determines paid work after retirement?
The role of the five measures of job quality was further examined using models of probability of paid work after retirement. Apart from quality indicators regarding the main job, controls included total labor market experience, unemployment incidence, as well as detailed demographics and information concerning current health status and material conditions. Odds ratios were estimated separately for men and women from a group of selected countries: Czech Republic, France, Germany, Greece, Poland, Spain and Sweden.
Higher education is positively associated with the odds of employment after retirement, but have the opposite effect for age, poor health and living in rural areas. Each additional year of labor market experience increases the odds of working after retirement, but we find no significant effect of unemployment episodes.
Both men and women without experience of high physical demands and lack of control in their main job have higher odds of working after retirement than those who declared such experiences. For example, men who did not experience highly, physically demanding main jobs have 1.4 times higher odds of work after retirement compared to those who did. The respective odds for those who did not experience lack of control are 1.9. On the other hand, high psychosocial demands and adequate social support have significant influence only among retired women. Women who did not report high psychosocial demands had 1.25 times higher odds of work after retirement, while those who received adequate support in their past job had 1.5 times higher odds. We find no significant effect of the experience of adequate rewards with respect to efforts in the main job, and similarly no significant association between material conditions and employment of retirees. Both of these may imply that involvement in paid work after retirement is to a lesser extent driven by financial concerns.
Further discussion and policy implications
Differences in the degree of engagement in paid work after retirement with respect to the assessment of past job quality suggest a potentially important role of job quality regulations. At the same time, lack of significant association between the material situation and paid work after retirement implies that policy initiatives targeted at higher levels of labor market activity among retirees may benefit from stressing the non-material aspects of employment in later life.
Results point to a strong link between quality of work in the past and probability of work after retirement, which is in line with what other studies have showed: e.g. that low quality of work in the past strongly correlates with the desire to retire as soon as possible (e.g. Dal Bianco et al., 2014). Given the demographic pressure on public finances observed or expected in many developed countries, and foreseen reductions in the generosity of pension benefits, increasing the level of engagement in paid work after labor market exit may become an important policy challenge. The results summarized in this brief suggest that governments should, on the one hand, pay attention to the labor market conditions faced by those currently employed, and on the other hand focus on a broad set of incentives to encourage employment among older generations, going beyond financial remuneration.
References
- Dal Bianco, C., Trevisan, E., Weber, G., 2014. „I want to break free. The role of working conditions on retirement expectations and decisions”, European Journal of Ageing, 12(1), 17-28.
- Myck, M., Oczkowska, M. (eds.), 2017. „The Polish 50+ generation in the European context: activity, health and well-being. Results from the SHARE survey” („Pokolenie 50+ w Polsce na tle Europy: aktywność, zdrowie i jakość życia. Wyniki na podstawie badania SHARE”), CenEA (in Polish).
- Siegrist, J., Li, J., Montano, D., 2014. “Psychometric properties of the effort-reward imbalance questionnaire”. Düsseldorf University.
- Siegrist, J., Starke, D., Chandolab, T., Godinc, I., Marmot, M., Niedhammer, I., Peter, R., 2004. “The measurement of effort-reward imbalance at work: European comparisons”, Social Science & Medicine, 58, 1483-99.
- Siegrist, J., Wahrendorf, M., 2011. “Quality of Work, Health and Early Retirement: European Comparisons”, in: Börsch-Supan, A., Brandt, M., Hank, K., Schröder, M. (eds.). “The Individual and the Welfare State: Life Histories in Europe”. Springer Berlin Heidelberg.
- Wahrendorf, M., Siegrist, J., 2011. “Working conditions in midlife and participation in voluntary work after labour market exit”, in: Börsch-Supan, A., Brandt, M., Hank, K., Schröder, M. (eds.). “The Individual and the Welfare State: Life Histories in Europe”. Springer Berlin Heidelberg.
Socio-Economic Policy in Poland: A Year of Major Changes in Benefits, Taxes, and Pensions
2016 was the first full calendar year of the new Polish government elected to power in October 2015. The year marked a number of major changes legislated in the area of socio-economic policy some of which have already been implemented and others that will take effect in 2017. In this policy brief, we analyse the distributional consequences of changes in the direct tax and benefit system, and discuss the long-term implications of these policies in combination with the policy to reduce the statutory retirement age.
The Law and Justice party (Prawo i Sprawiedliwość, PiS) won an absolute majority of seats in both houses of the Polish Parliament in the parliamentary elections of October 2015. Earlier that year, Andrzej Duda of PiS was elected President of the Polish Republic. In both cases, the electoral victories came on the wave of pledges of significant financial support to families with children and to low-income households, especially pensioners. The new president pledged to cut back the pension age to the levels prior to the 2012 reform, which introduced a gradual increase from 60 and 65 to 67 for both women and men, and to nearly triple the income tax allowance. Following Duda’s victory in May 2015, PiS reiterated these pledges in the parliamentary election campaign and added the promise to increase the total level of financial support for families with children by over 140% through a nearly universal benefit called “Family 500+” and to hike the minimum wage by over 8%.
Despite a rather tight budget situation, the government went ahead with the “Family 500+” and successfully rolled it out in April 2016 (Myck et al., 2016a). The new instrument directs support of 500 PLN per child per month (110 EUR) to all second and subsequent children in the family in the age group between 0 and 17. Benefits for the first child in the family in this age group are granted conditional on overcoming an income threshold of 800 PLN (180 EUR) per person per month. Since April 2016, over 2.7 million families have received the benefit and 60% of them received the means tested support (if they have more than one child this is paid out in combination with the universal benefit).
The second key electoral pledge – to increase the tax allowance from 700 to 1,850 EUR at an estimated cost of 4.8 billion EUR – has so far been postponed (CenEA, 2015a). Increases in the allowance became a major policy issue in October 2015 when the Constitutional Tribunal ruled that maintaining its level below minimum subsistence, as it was at the time, was unconstitutional. To satisfy the Tribunal’s ruling, the allowance would have to increase to ca. 1,500 EUR at a cost of nearly 15 billion PLN (3.4 billion EUR, and about 0.8% of GDP, CenEA 2015b). Instead of a simple increase in the allowance, the government decided to implement a digressive tax allowance for 2017. This raised the value to the required minimum subsistence level for the lowest income tax payers, but since it is rapidly withdrawn as taxable income rises, the allowance will be unchanged to a large majority of taxpayers and will cost the public purse only 0.2 billion EUR (CenEA, 2016). This policy will be more than paid for by the fiscal drag given the decision to freeze all other parameters of the tax system, which will cost the taxpayers 0.5 billion EUR (Myck et al., 2016b).
The policies that directly affect household budgets will in total amount to about 5.5 billion EUR in 2017 (1.3% of GDP and 6.2% of the planned central budget expenditures) and will include also an increase in the minimum pension to benefit about 1.5 million pensioners. The cost of the “Family 500+” reform makes up the large majority of this value (5.4 billion EUR). Households from the lower income decile groups will benefit the most from this reform package, with their monthly disposable income increasing on average by 15.1% (ca. 60 EUR). High-income households from the top income decile will see their income grow on average by only 0.5% (see Figure 1). Overall, nearly all of the gains will go to families with children, with single parents gaining on average about 95 EUR and married couples with children about 84 EUR per month. Other types of families will, on average, see negligible changes in their household disposable incomes (see Figure 2). Thus, the implemented package clearly has a very progressive nature and redistributes significant resources to families with children.
Figure 1. Distributional consequences of changes in direct tax and benefit measures implemented between 2016-2017
Source: calculations using CenEA’s microsimulation model SIMPL based on PHBS 2014 data.
The pension age and public finances in the years to come
The most recent major reform, legislated at the end of 2016 and which will come into effect in October 2017, represents an implementation of yet another costly electoral pledge. This policy has overturned gradual increases in the statutory retirement age, initiated by the previous government in 2012. Despite the very rapid ageing of the Polish population, the new government decided to return to the pre-2012 retirement ages of 60 and 65 for women and men, respectively. This comes at a time when, according to EUROSTAT (Eurostat, 2014), the old-age dependency ratio in Poland, i.e. the proportion of the 65+ population to the working-age population, will grow from the current 24% to 27% in 2020 and to 40% in 2040. With the defined contribution pension system, the shorter working lives resulting from this change will be reflected in significantly reduced benefits (Figure 2). For example, pension benefits of men retiring in 2020 will on average be 13.5% lower than the pre-reform value. For women that retire in 2040, the pension benefits will on average fall by 15.2%, which corresponds to a 43% lower benefit than the pre-reform value, and with consequences of the reform becoming more severe over time. The reform will also be very costly to the government budget. In 2017, it is expected to cost 1.3 billion EUR and its full effect will kick in after 2021, when the cost of the reform will exceed 3.9 billion EUR per year (Figure 2).
Figure 2. Reducing the statutory retirement age and its implications on pension benefits and public finances
Source: Based on data from Council of Ministers (2016).
Conclusion
Since coming to power in October 2015, the PiS government has implemented a majority of its costly electoral pledges. Direct changes in taxes and benefits will cost 5.5 billion EUR in 2017 and benefit primarily those in the lower end of the income distribution and in particular families with children. The reduced statutory retirement age will add an extra 1.3 billion EUR in 2017 and as much as 3.9 billion EUR four years later. The very generous “Family 500+” programme has significantly reduced child poverty and may have important positive long-term effects in terms of health and education for today’s beneficiaries. However, its fertility implications are still uncertain and the programme is expected to reduce the employment rate among mothers. While the government maintains that its financing is secured, it is becoming clear that maintaining the policy will not be possible without higher taxes.
The government came to power claiming that the implementation of this programme will be based on reducing tax fraud and that only a small fraction will be financed from tax increases. While it seemed likely at the time when these declarations were made, the expected major shift in the reduction of tax fraud has yet not materialised. The government have withdrawn from the pledge of reducing the VAT and from assisting those with mortgages denominated in Swiss Francs, while its income tax allowance reform was nearly thirty times less expensive compared to that announced in its electoral programme.
With a very tight budget for 2017 based on relatively optimistic assumptions, the key factors determining further realisations of the generous programme will be the rate of economic growth and related dynamics on the labour market. Developments of the labour market will also be essential for the longer-term economic success of the implemented reform package. This relates both to the future level of participation of women and to the success of extend working lives of people who will soon reach the new reduced retirement age.
References
- CenEA (2015a) Konsekwencje prezydenckiej propozycji podwyższenia kwoty wolnej od podatku (Consequences of the presidential proposal to raise the incoem tax allowance), CenEA press release, 3 December 2015.
- CenEA (2015b) Co z kwotą wolną od podatku po wyroku Trybunału Konstytucyjnego? (what will happen to the income tax allowance after the decision of the Constitutional Tribunal?), CenEA press release, 13 November 2015.
- CenEA (2016) Zmiany w kwocie wolnej od podatku za 800 mln rocznie (Changes in the income tax allowance at the cost of 800m per year), CenEA press release, 29 November 2016.
- EUROSTAT (2014) Eurostat – Population projections EUROPOP2013, access 21 December 2016.
- Myck, M., Kundera, M., Najsztub, M., Oczkowska, M. (2016a) 25 miliardów złotych dla rodzin z dziećmi: projekt Rodzina 500+ i możliwości modyfikacji systemu wsparcia. (25bn for families with children: plans for the Family 500+ reform and other options to modify the system of support.), CenEA Commentaries, 18 January 2016.
- Myck, M., Kundera, M., Najsztub, M., Oczkowska, M., 2016b, Zamrożony PIT i utrzymane wyższe stawki VAT – jak brak zmian w podatkach wpłynie na budżety gospodarstw domowych? (Frozen PIT and higher VAT – how lack of changes in taxees will affect househod budgets?), CenEA Commentaries, 05 October 2016.
- Council of Ministers (2016) Position of the Council of Ministers on the presidential bill proposal, Warsaw, 25 July 2016.
Traces of Transition: Unfinished Business 25 Years Down the Road?
This year marks the 25-year anniversary of the breakup of the Soviet Union and the beginning of a transition period, which for some countries remains far from completed. While several Central and Eastern European countries (CEEC) made substantial progress early on and have managed to maintain that momentum until today, the countries in the Commonwealth of Independent States (CIS) remain far from the ideal of a market economy, and also lag behind on most indicators of political, judicial and social progress. This policy brief reports on a discussion on the unfinished business of transition held during a full day conference at the Stockholm School of Economics on May 27, 2016. The event was organized jointly by the Stockholm Institute of Transition Economics (SITE) and the Swedish Ministry for Foreign Affairs, and was the sixth installment of SITE Development Day – a yearly development policy conference.
A region at a crossroads?
25 years have passed since the countries of the former Soviet Union embarked on a historic transition from communism to market economy and democracy. While all transition countries went through a turbulent initial period of high inflation and large output declines, the depth and length of these recessions varied widely across the region and have resulted in income differences that remain until today. Some explanations behind these varied results include initial conditions, external factors and geographic location, but also the speed and extent to which reforms were implemented early on were critical to outcomes. Countries that took on a rapid and bold reform process were rewarded with a faster recovery and income convergence, whereas countries that postponed reforms ended up with a much longer and deeper initial recession and have seen very little income convergence with Western Europe.
The prospect of EU membership is another factor that proved to be a powerful catalyst for reform and upgrading of institutional frameworks. The 10 countries that joined the EU are today, on average, performing better than the non-EU transition countries in basically any indicator of development including GDP per capita, life expectancy, political rights and civil liberties. Even if some of the non-EU countries initially had the political will to reform and started off on an ambitious transition path, the momentum was eventually lost. In Russia, the increasing oil prices of the 2000s brought enormous government revenues that enabled the country to grow without implementing further market reforms, and have effectively led to a situation of no political competition. Ukraine, on the other hand, has changed government 17 times in the past 25 years, and even if the parliament appears to be functioning, very few of the passed laws and suggested reforms have actually been implemented.
Evidently, economic transition takes time and was harder than many initially expected. In some areas of reform, such as liberalization of prices, trade and the exchange rate, progress could be achieved relatively fast. However, in other crucial areas of reform and institution building progress has been slower and more diverse. Private sector development is perhaps the area where the transition countries differ the most. Large-scale privatization remains to be completed in many countries in the CIS. In Belarus, even small-scale privatization has been slow. For the transition countries that were early with large-scale privatization, the current challenges of private sector development are different: As production moves closer to the world technology frontier, competition intensifies and innovation and human capital development become key to survival. These transformational pressures require strong institutions, and a business environment that rewards education and risk taking. It becomes even more important that financial sectors are functioning, that the education system delivers, property rights are protected, regulations are predictable and moderated, and that corruption and crime are under control. While the scale of these challenges differ widely across the region, the need for institutional reforms that reduce inefficiencies and increase returns on private investments and savings, are shared by many.
To increase economic growth and to converge towards Western Europe, the key challenges are to both increase productivity and factor input into production. This involves raising the employment rate, achieving higher labor productivity, and increasing the capital stock per capita. The region’s changing demography, due to lower fertility rates and rebounding life expectancy rates, will increase already high pressures on pension systems, healthcare spending and social assistance. Moreover, the capital stock per capita in a typical transition country is only about a third of that in Western Europe, with particularly wide gaps in terms of investment in infrastructure.
Unlocking human potential: gender in the region
Regardless of how well a country does on average, it also matters how these achievements are distributed among the population. A relatively underexplored aspect of transition is to which extent it has affected men and women differentially. Given the socialist system’s provision of universal access to education and healthcare, and great emphasis on labor market participation for both women and men, these countries rank fairly well in gender inequality indices compared to countries at similar levels of GDP outside the region when the transition process started. Nonetheless, these societies were and have remained predominantly patriarchal. During the last 25 years, most of these countries have only seen a small reduction in the gender wage gap, some even an increase. Several countries have seen increased gender segregation on the labor market, and have implemented “protective” laws that in reality are discriminatory as they for example prohibit women from working in certain occupations, or indirectly lock out mothers from the labor market.
Furthermore, many of the obstacles experienced by small and medium-sized enterprises (SMEs) are more severe for women than for men. Female entrepreneurs in the Eastern Partnership (EaP) countries have less access to external financing, business training and affordable and qualified business support than their male counterparts. While the free trade agreements, DCFTAs, between the EU and Ukraine, Georgia, and Moldova, respectively, have the potential to bring long-term benefits especially for women, these will only be realized if the DCFTAs are fully implemented and gender inequalities are simultaneously addressed. Women constitute a large percentage of the employees in the areas that are the most likely to benefit from the DCFTAs, but stand the risk of being held back by societal attitudes and gender stereotypes. In order to better evaluate and study how these issues develop, gendered-segregated data need to be made available to academics, professionals and the general public.
Conclusion
Looking back 25 years, given the stakes involved, things could have gotten much worse. Even so, for the CIS countries progress has been uneven and disappointing and many of the countries are still struggling with the same challenges they faced in the 1990’s: weak institutions, slow productivity growth, corruption and state capture. Meanwhile, the current migration situation in Europe has revealed that even the institutional development towards democracy, free press and judicial independence in several of the CEEC countries cannot be taken for granted. The transition process is thus far from complete, and the lessons from the economics of transition literature are still highly relevant.
Participants at the conference
- Irina Alkhovka, Gender Perspectives.
- Bas Bakker, IMF.
- Torbjörn Becker, SITE.
- Erik Berglöf, Institute of Global Affairs, LSE.
- Kateryna Bornukova, Belarusian Research and Outreach Center.
- Anne Boschini, Stockholm University.
- Irina Denisova, New Economic School.
- Stefan Gullgren, Ministry for Foreign Affairs.
- Elsa Håstad, Sida.
- Eric Livny, International School of Economics.
- Michal Myck, Centre for Economic Analysis.
- Tymofiy Mylovanov, Kyiv School of Economics.
- Olena Nizalova, University of Kent.
- Heinz Sjögren, Swedish Chamber of Commerce for Russia and CIS.
- Andrea Spear, Independent consultant.
- Oscar Stenström, Ministry for Foreign Affairs.
- Natalya Volchkova, Centre for Economic and Financial Research.
Taxes and Benefits in the Polish Parliamentary Election Campaigns
Authors: Michal Myck and Monika Oczkowska, CenEA.
The upcoming parliamentary elections in Poland, scheduled for the 25th of October 2015, have on the one hand stimulated debate on the record of the current coalition government, and on the other opened the debate on the nature of socio-economic policy to be conducted in the coming years. In this brief, we draw on two recent pre-election reports published by the Centre for Economic Analysis, CenEA. We discuss developments in tax and benefit policies under the coalition of the Civic Platform and the Polish People’s Party over the last eight years, as well as the pre-election pledges regarding tax and benefit policies to be implemented after the elections. We show a significant shift in policy priorities with respect to the distributional effect of the tax-benefit policies between the first (2007-2011) and the second (2011-2015) term in office, towards more support for low-income families. We also argue that, judging by the presented electoral pledges, Polish voters face a difficult choice between the promises of the opposition parties, which seem too costly to be realistic, and an enigmatic tax overhaul reform proposed by the governing Civic Platform, which is supposed to substantially benefit nearly all working households at a low cost for the state budget, with details of the reform design, however, kept away from public scrutiny.