Tag: Pollution

The Impact of Technological Innovations and Economic Growth on Carbon Dioxide Emissions

Posted on April 8, 2024 | Policy Brief

Power plant emitting smoke, illustrating the economic impact of emissions on the environment.

This policy brief offers an examination of the interplay between economic growth, research, and development (R&D), and CO2 emissions in different countries. Analysing data for 83 countries over three decades, our research reveals varying impacts of economic and R&D activities on CO2 emissions depending on country income level. While increased economic growth often leads to higher emissions due to greater industrial activity, our model indicates that increased GDP levels, when interacted with enhanced investments in R&D, is associated with reduced CO2 emissions. Our approach also recognizes the diverse economic conditions of countries, allowing for a more tailored understanding of how to tackle environmental challenges effectively.

Technological Innovation and CO2 Emissions

Human activity has over the past few decades significantly contributed to environmental problems, in particular CO2 emissions. The consequences from increased CO2 emissions, such as global warming and climate change, have motivated extensive research focused on understanding their impact and finding potential solutions to associated issues.

Economic growth, and research and development (R&D) can serve as differentiating factors between countries when it comes to their pollution levels, specifically measured by CO2 emissions per capita. Higher levels of economic growth are associated with increased industrial activity and energy consumption, which may lead to increased CO2 emissions. At the same time, countries that invest more in R&D often focus on developing cleaner technologies and implementing sustainable practices, which may result in reduced CO2 emissions.

In this policy brief, we analyse CO2 emissions’ dependencies on technological innovation and economic growth. For our analysis we group the considered 83 countries into three wealth levels: High, Upper Middle, and Lower Middle income levels. This grouping facilitates a better understanding of the complex interplay between wealth, innovation and growth and their projection into emissions. Considering each wealth level group separately also allows us to account for varying economic and developmental contexts.

Data

Based on data availability, we analyse 83 countries, spanning from 1996 to 2019, inclusive. We follow current research trends and use R&D intensity as a proxy for technological innovation (see Chen & Lee, 2020; Petrović & Lobanov, 2020; Avenyo & Tregenna, 2022).

Data on energy use originate from Our World in Data. R&D data from after 2014 are based on figures from the UNESCO Institute for Statistics. All other indicators come from World Development Indicators (WDI).

Table 1 presents an overview of the variables considered in our empirical model. Our response variable is CO2 emissions per capita. We include several covariates (i.e. urban population, renewable energy, trade), found to be significant in previous studies where CO2 emissions was considered the dependent variable (Avenyo & Tregenna, 2022; Wang, Zeng & Liu, 2019; Petrović & Lobanov, 2020; Chen & Lee, 2020).

Table 1. Variable description.

Additionally, we include quadratic terms for GDP and R&D to account for nonlinearity and non-monotonicity. Also, we incorporate the interaction term between GDP and R&D (see Table 3). This allows us to evaluate whether the impact of technological innovations on CO2 emissions is dependent on the GDP level, or vice versa.

Wealth Level Classification

Existing literature highlights significant variation between countries in terms of economic growth and income levels, particularly in relation to R&D expenditure and CO2 emission levels (see Cheng et al., 2021; Chen & Lee, 2020; Petrović & Lobanov, 2020; Avenyo & Tregenna, 2022). Given this we deployed the Mclust method (Scrucca et al., 2016; Fraley & Raftery, 2002), and classified our considered countries into three distinct groups based on their median Gross National Income (GNI) over a specified range of years for each country. Following this methodology, we obtained three groups of countries: High, Upper Middle and Lower Middle. The list of countries categorized by their respective wealth level is presented in Table 2.

Table 2. Countries within each wealth group.

Low-income countries, (as categorized by the World Bank in 2022) were not included in the analysis as the study focuses on the impact of technological innovations on CO2 emissions, innovations which are less frequent in such economies. Limited infrastructure, financial resources, and access to technology often result in lower levels of R&D activities in low-income countries, which reduces the number of measurable innovations.

The Hybrid Model

Our leading hypothesis is that country income levels (measured by GDP) mediates the relationship between innovation (measured by R&D expenditures) and CO2 emissions. To test this, one could estimate this relationship for each group of countries separately. This policy brief instead estimates the relationship for the whole sample of countries accounting for group differences via interaction effects. Specifically, our estimation allows for interaction terms between some or all covariates and the wealth level. This approach, which we refer to as the hybrid model, thus combines elements of both pooled and separate models. It is a great alternative to separate models as it allows for estimation of both group-specific and sample-wide effects, and as it contrasts differential impacts across wealth level groups.

We test two versions of the hybrid model, one full and one reduced. The full model incorporates interactions with all covariates while the reduced model includes some indices without interactions, resulting in a relationship shared across all wealth levels. The reduced model assumes that the variables Renewable energy consumption, Energy use and Trade exhibit the same relationship with CO2 emissions across all wealth levels.

Both the reduced and full hybrid models have similar coefficients for the variables and interactions that they share. While the coefficients share signs in both the full and reduced hybrid models, they are smaller, in absolute values, in the reduced hybrid model. In Table 3 we present the estimates from the reduced hybrid model.

Table 3. Results from the reduced hybrid model with CO2 emissions as dependent variable, by wealth group level.

Note: The upper part of the table (denoted “interaction variables”) depicts the coefficients for the interaction term between the variable in the respective row and the income group in the respective column. * denotes a 0.05 significance level. ** denotes a 0.01 significance level. ***denotes a 0.001 significance level.

Several things are to be noted from Table 3. First, for High and Upper Middle wealth level countries there is a significant positive association between innovation (as proxied by R&D) and CO2 emissions. However, the significance levels of the interaction term for R&D and GDP reveal that the relationship between R&D and CO2 is not constant across wealth levels even within each group. Specifically, it appears that relatively high values of GDP and R&D are associated with a decrease in CO2 emissions in High and Upper Middle wealth level countries. This suggests that in wealthier countries, advancements in technology and efficient practices derived from R&D are likely contributing to reduced emission levels. Interestingly, GDP has no direct effect on emissions for countries in these two wealth groups. Rather, GDP only affects emissions through the interaction term with R&D.

In turn, for the Lower Middle wealth level countries, R&D has no impact on CO2 emissions, whether directly or via interaction with GDP. Instead, higher GDP leads to a significant increase in emissions. This suggests that for these countries economic growth entail CO2 emissions while R&D activities are too small to have a mediating effect.

Second, medium and high-technology industry value added manufacturing is only significant for countries within the Upper Middle wealth level. This is in line with previous literature (see Avenyo & Tregenna, 2022, Wang, Zeng & Liu, 2019). A higher proportion of medium and high-technology industry value added is often negatively associated with CO2 emissions due to the adoption of cleaner and more environmentally sustainable technologies and practices within these industries. Additionally, these industries are often subject to stringent environmental regulations. As a result, these industries can contribute to reduced emission levels, becoming key drivers of sustainable economic growth and environmental protection (Avenyo & Tregenna, 2022). Interestingly, in our estimation, this result is evident only for Upper Middle wealth level countries.

Third, urban population is only significantly increasing emissions for High wealth level countries. Such positive relationship can be attributed to several factors. There is often a higher concentration of industrial and manufacturing activities in urban areas, leading to increased emissions of pollutants as urbanization increases (Wang, Zeng & Liu, 2019). Additionally, urban areas tend to have higher energy consumption and transportation demands, further contributing to higher emission levels.

When it comes to the factors jointly estimated across wealth groups, the positive relationship between renewable energy consumption and CO2 emissions is well-documented within the literature (Chen & Lee, 2020) which emphasizes the need for sustainable energy practices and efficient resource management to mitigate adverse environmental impacts. In line with this, the significant negative relationship between renewable energy consumption and CO2 emissions suggests that an increase in renewable energy usage is associated with a reduction in CO2 emissions. This is in line with previous findings demonstrating that technological progress helps reduce CO2 emissions by bringing energy efficiency (Akram et al., 2020; Sharif et al., 2019).

Conclusion

This policy brief analyses the effects of GDP and technological innovations on CO2 emissions. The theoretical channels linking economic development (and technological innovations) and CO2 emissions are multifaceted, warranting the need for an econometric assessment. We study 83 countries between 1996 and 2020 in a setting that allows us to disentangle the effects across countries with different income levels.

Our findings underscore the importance of considering the various income levels of the considered countries and their interplay with R&D expenditures in environmental policy discussions. Countries with Lower Middle income levels exhibit insignificant effects from R&D expenditures on CO2 emissions, while for Upper Middle and High wealth level nations, increased R&D expenditures incurs higher emissions.

The moderating role of GDP adds complexity to this relationship. At sufficiently high wealth levels, GDP weakens the effect of R&D on emissions. This alleviating effect becomes stronger as GDP increases until reaching a turning point, at which the impact reverses and R&D expenditures instead decrease emissions.

Our results on the significant nonlinear relationship between R&D, GDP and CO2 emission levels highlights the complexity of addressing environmental challenges within the context of macroeconomics. It suggests that policies promoting both R&D and economic growth simultaneously can foster more sustainable development paths, where economic expansion is accompanied by a more efficient and cleaner use of resources, leading to lower CO2 emissions. This decoupling of economic growth from emissions is likely to be further enhanced by governments incentivising research and development focused on improved energy efficiency and emission reduction.

References

  • Akram, R., Chen, F., Khalid, F., Ye, Z., & Majeed, M. T. (2020). Heterogeneous effects of energy efficiency and renewable energy on carbon emissions: Evidence from developing countries. Journal of cleaner production, 247, 119122.
  • Avenyo, E. K., & Tregenna, F. (2022). Greening manufacturing: Technology intensity and carbon dioxide emissions in developing countries. Applied energy, 324, 119726.
  • Chen, Y., & Lee, C. C. (2020). Does technological innovation reduce CO2 emissions? Cross-country evidence. Journal of Cleaner Production, 263, 121550.
  • Cheng, C., Ren, X., Dong, K., Dong, X., & Wang, Z. (2021). How does technological innovation mitigate CO2 emissions in OECD countries? Heterogeneous analysis using panel quantile regression. Journal of Environmental Management, 280, 111818.
  • Fraley C. and Raftery A. E. (2002) Model-based clustering, discriminant analysis and density estimation. Journal of the American Statistical Association, 97/458, pp. 611-631.
  • Petrović, P., & Lobanov, M. M. (2020). The impact of R&D expenditures on CO2 emissions: evidence from sixteen OECD countries. Journal of Cleaner Production, 248, 119187.
  • Scrucca, L., Fop, M., Murphy, T. B., & Raftery, A. E. (2016). mclust 5: clustering, classification and density estimation using Gaussian finite mixture models. The R journal, 8(1), 289.
  • Sharif, A., Raza, S. A., Ozturk, I., & Afshan, S. (2019). The dynamic relationship of renewable and nonrenewable energy consumption with carbon emission: a global study with the application of heterogeneous panel estimations. Renewable energy, 133, 685-691.
  • Wang, S., Zeng, J., Liu, X., (2019). Examining the multiple impacts of technological progress on CO2 emissions in China: a panel quantile regression approach. Renew. Sustain. Energy Rev. 103, 140–150.

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.

Environmental Enforcement in the EU: Insights from Administrative Cases in the US

Posted on May 23, 2023 | Policy Brief

20230523 Environmental Enforcement Image 01

In March 2023, the European Parliament’s legal affairs committee voted unanimously in favor of a proposed update to the EU Directive on environmental crimes (Directive 2008/99/EC). The update seeks to step up enforcement of environmental legislation across Members States through criminal law aimed at severely punishing very serious environmental offenses. We argue that, while laudable in its goal of strengthening enforcement of environmental regulation at the EU level, the current effort might be insufficient since moderately serious offenses might remain largely unpunished. To address this shortcoming, we propose harmonizing administrative law as well. We consider additional benefits from relying on administrative law in terms of flexibility of punishment design, based on the US experience of using environmentally beneficial projects performed in affected areas as a form of punishment in administrative environmental settlements. We discuss evidence on the merits and potential limitations of the US approach based on Campa and Muehlenbachs (2022) and conclude that such an approach is worth considering in the EU context.

While the EU has set aggressive pollution reduction targets across its Member States (European Commission, 2021a), for example pledging to reduce deaths due to particulate matters to 55 percent of 2005 levels by 2030 (European Commission, 2023a), much work remains to be done. As documented in Lehne (2021), in 2020 all countries in Europe reported PM2.5 concentrations above the World Health Organization (WHO) guideline of 5mg/m3. Six countries, including three EU Member States (Italy, Croatia, and Poland) reported levels above the EU’s annual limit value of 25mg/m3. Further, Bulgaria, Poland, Portugal, Croatia, and Romania did not meet national targets for PM2.5 reduction (European Environment Agency, 2023). Main contributors to PM2.5 pollution are transportation and industrial activity, including energy production. High concentrations of these particles are known to increase physical and mental health risks (Persico, 2022; Persico et al., 2016), and risk of premature deaths (Fuller et al., 2022).

Environmental concerns across EU Member States are also not limited to air pollution. Across the EU, 28 percent of groundwater sources are affected by pollution from agriculture, 14 percent from industrial contamination, and 7.5 percent from mining waste (Kampa et al., 2021). The persistent pollution problems in the EU and their unequal distribution across regions despite growing EU-level environmental legislation underscores the importance of law enforcement. While all EU Member States are theoretically subject to the same overarching environmental standards and regulations, the enforcement of environmental laws differs widely across countries. To address this issue, the EU Commission (henceforth EC) has recently taken steps to further harmonize environmental enforcement across EU Member States.

In this brief we consider the EC’s proposal and argue that, while commendable in the goal of strengthening enforcement of environmental regulation at the EU level, it is also quite limited in terms of enforcement tools that it considers. Specifically, we discuss potential advantages of leveraging administrative law tools to enforce environmental regulation, whereas the EC approach is currently focused on criminal law. We consider the higher probability of prosecution and the enhanced flexibility in the type of penalties allowed by administrative enforcement actions. Finally, we discuss results from Campa and Muehlenbachs (2022), which studies the use of administrative penalties for environmental violations in the US and draws some lessons for environmental enforcement in other jurisdictions.

Strengthening Environmental Enforcement at the EU Level

While environmental regulation is a shared competence of the EU, enforcement has historically been left to national environmental authorities (European Parliament, 2016). In the face of a lack of institutional capacity at the national level, a result of this arrangement are generally low levels of environmental enforcement, widely heterogeneous across Member States (Mazur, 2011). EU institutions have tried unsuccessfully over time to address this challenge and harmonize enforcement across EU Member States. An early attempt was made in 2001, when the EU put in place minimum standards for environmental inspections that Member States carry out, though these were only non-binding guidelines, and Member States could not be sanctioned for flouting them (European Parliament, 2001). Mandatory standards were then introduced in 2008, with the EU Directive on environmental crimes (Directive 2008/99/EC), which forced national governments to apply criminal sanctions to those causing “substantial damage” to the environment. However, it has typically been difficult for the EC to sanction non-abiding Member States. Moreover, the obligation is limited to areas where the EU has competence and does not include minimum penalties.

In another attempt to step up their enforcement efforts, in 2016 the EC began publishing the annual Environmental Implementation Review, where each country is evaluated on its environmental affairs and enforcement (European Commission, 2023b). Although this does not improve the EC’s ability to efficiently sanction Member States, it does increase scrutiny and visibility. In 2021, the EC tabled a proposal to update the 2008 Directive on environmental crimes (European Commission, 2021b). The proposal acknowledged the insufficient number of environmental criminal cases successfully investigated and prosecuted as well as the large discrepancies in the transposition of the 2008 Directive across Member States. Against this background, the EC proposed to enlarge the scope of the 2008 Directive, establish minimum penalties, foster cross-border investigation and prosecution, and promote data collection and dissemination on criminal enforcement actions. In March 2023, the European Parliament’s legal affairs committee voted in support of the EC proposal, extending the list of offenses that would be criminally charged and increasing the size of the minimum penalties.

Environmental Enforcement, Administrative Law and “In-kind” Punishment

The efforts of EU institutions to improve and harmonize enforcement are exclusively focused on criminal law instruments. The EC’s 2021 proposal specifically links poor enforcement in Member States to their reliance on administrative law, which limits fines and thus allegedly reduces the deterrence value of enforcement actions. Indeed, sufficiently high fines are considered crucial to deter future violations (see, e.g., Aguzzoni et al., 2013). However, we argue that reliance on administrative law also has some advantages. In particular, we consider two potential benefits of administrative law based on existing studies, namely higher probability of case initiation and more flexibility in terms of penalty design.

Probability of Case Initiation

One of the shortcomings of the current enforcement framework highlighted by the EC is the very low number of environmental criminal cases that are ultimately prosecuted. Research on enforcement tends to link the low frequency of observed criminal cases to the high cost of criminal proceedings, especially relative to more informal administrative procedures (Faure and Svatikova, 2012). The cost dimension is especially relevant for cases that are moderately serious, but that nevertheless in aggregate contribute significantly to environmental degradation. The probability of catching violations is also relevant, together with the size of the penalty. A very large penalty for a criminal case that is highly unlikely to be prosecuted might be less deterring than a moderate penalty associated with very high probability of prosecution.

“In-kind” Penalties

Federal environmental regulations in the US are enforced through a combination of administrative and criminal law. The Environmental Protection Agency (EPA) initiates administrative cases or refers them to the Department of Justice when the gravity of the violation is large. Administrative cases result in settlements where the defendant can be ordered to pay a fine, which can vary from a few thousand to a few million dollars and which is determined according to various factors, such as the magnitude of environmental harm, the firm’s economic gain from violation, its violation history, and its ability to pay. Additionally, when a fine is established, defendants are given the opportunity to volunteer to pay for an environmentally beneficial project in the affected area. The EPA encourages these projects especially in areas subject to environmental justice concerns, namely those characterized by a large share of minority and low-income households.

Campa and Muehlenbachs (2022) study the implications of using these projects in environmental enforcement cases in the US. The study reveals a large preference among the public for this “in-kind” form of penalty versus traditional fines, based on a survey of US residents. Moreover, a randomized survey experiment reveals that these environmental projects elevate the profile of the firm among the public as compared to a firm that only pays a fine, even when the penalties stem from the same violation. Similarly, the stock-market response to the announcement of these projects is positive, whereas announcing a settlement with a large penalty causes a drop in the stock-market price of the defendant. In terms of implications for environmental justice, the data analysis shows that the whitest and richest communities are the most likely to receive these projects, but the second largest share goes to communities where there are highest concentrations of minorities and low-income households.

Overall, the study finds that punishing firms through environmental projects can be beneficial for political economy reasons, given the large preference for this enforcement tool among the public and likely among firms, since firms seem to benefit from undertaking the projects. Moreover, while the targeting of environmental justice communities in the US is not perfect, tweaking the US arrangement could guarantee that the projects predominantly benefit those communities most harmed by environmental violations.

For EU adoption of environmental projects enforcement, a caveat is that the perception of these projects might be different among the public in the EU. Nonetheless, large-scale surveys modelled on those presented in Campa and Muehlenbachs (2022) can help in understanding public views in different regions. Moreover, the paper emphasizes that on the one hand, by benefiting defendants, the environmental projects might ultimately be a more lenient punishment than fines, with implications for deterrence and future environmental quality. On the other hand, environmental quality might also improve as a direct effect of the projects being implemented and due to improved monitoring in affected communities (Dimitri et al., 2006). Overall, the study finds that future environmental quality might be more likely to improve following fines rather than environmental projects. However, it cautions the reader on data limitations that causes the result to not be conclusive enough and calls for further research.

Conclusion

The persistence of environmental problems in the EU, as well as the striking differences in pollution levels across EU Member States, underscores the need for more and better environmental regulation. However, even in the presence of comprehensive and strict environmental rules, the protection of the environment is still inadequate if a proper enforcement mechanism is not in place. As observed in OECD (2009), proper enforcement ensures deterrence. Successful deterrence provides the best protection for the environment, while reducing the resources necessary to administer laws by addressing non-compliance before it occurs. EU institutions have recently taken important steps to improve and further harmonize enforcement of environmental regulation across Member States, with proposed updates to the existing Directive on the matter scheduled for Member-State discussion in upcoming months.

Specifically, the EU is seeking to step up the use of criminal law to prosecute environmental offenses across Member States, with mandatory penalties and increased cross-border coordination. We argue that the focus on criminal law has some drawbacks, which could be addressed by also harmonizing administrative enforcement across EU Member States. Researchers have previously argued that reliance on administrative law might increase the likelihood that offenses are investigated and prosecuted. We also present evidence from the use of administrative law in the US, where defendants in environmental cases can settle to pay part of their penalty “in-kind”, i.e. by performing environmental projects in areas affected by the alleged violations. The evidence suggests that the use of these projects is worth considering in other jurisdictions, including the EU, because they might be preferred by the public and could help addressing environmental justice concerns. An important caveat is that their implications for environmental protection are not clear, and more research should address this important aspect. On the subject, the existing evidence on environmental enforcement in the US, such as that presented in Campa and Muehlenbachs (2022), is established thanks to the availability of rich data sources kept by the US’ EPA. The EC’s recent proposal to systematically collect and disseminate data on environmental crimes is thus particularly welcome and should not be overlooked in the upcoming negotiations with Member States on the final content of the proposed Directive.

References

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.