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Emerging economies have prioritized the enhancement of carbon and energy productivity to uphold environmental integrity. Consequently, the policymakers introduced the environmental policy stringency measure to control emission activities. Accordingly, this study explores the environmental stringency policy's impact on carbon, energy, and non-energy productivity over the period of 1995-2020. This study addresses the impact of environmental policy stringency on quality of life (exposure to environmental risk). Regardless of variation, growing economies have higher carbon productivity. It is worth noting that energy productivity compared to carbon is higher. Based on the findings derived from the CS-ARDL model, it can be concluded that environmental stringency policies significantly positively impact carbon productivity in emerging countries. Economies that implement stringent environmental rules have the potential to enhance both energy and non-energy productivity to a greater extent. Meanwhile, the environmental policy effectively reduces environmental risk exposure and increases the quality of life. Environmental technology is inefficient in promoting emerging economies' environmental productivity. Similarly, trade promotes carbon activities and may involve comparative advantage race, pollution heaven hypothesis possible to exist. This study provides empirical evidence supporting the notion that investing in human capital is crucial in enhancing productivity. The findings suggest a more comprehensive and integrated approach to environmental policy in rising economies. This all-encompassing strategy is considered crucial for making significant gains in carbon productivity and simultaneously promoting sustainable green growth., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

In our groundbreaking exploration, we meticulously delve into the relationship between environmental policy stringency, international trade dynamics, and financial openness within the BRICS group (Brazil, Russia, India, China, and South Africa) spanning from 1996 to 2021. With a focus on critical variables such as economic growth and technological innovation, our empirical findings challenge conventional wisdom. Surprisingly, we found that those stringent environmental policies, when standing alone, do not invariably lead to reduce CO 2 emissions. Equally interesting is our startling discovery that the anticipated moderating influence of environmental policy stringency, catalyzed by trade and foreign direct investment, on the well-being of our environment does not materialize; contrarily, both trade and foreign direct investment moderating channels exhibit unanticipated positive correlations with CO 2 emissions. These revelations provoke us with the presence of a "pollution haven" phenomenon within the BRICS economies. Furthermore, our investigation reveals that, when examined individually, trade and foreign direct investment also appear to contribute to elevated emission levels. These findings provide a resolute solution to our research quandary, underlining the indispensable requirement for cutting-edge and robust environmental policies. These policies must possess the prowess to effectively counteract the adverse environmental consequences stemming from the amalgamation of global trade and financial integration. In doing so, they shall propel BRICS nations toward a future firmly grounded in principles of sustainability and ecological integrity., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This article explores the impact of artificial intelligence (AI) on global ecological footprints, which has important implications for global sustainability in the digital age. Using the comprehensive evaluation index of AI constructed by the entropy method and the dataset at the global national level, we find that from 2010 to 2019, the overall level of global AI shows an upward trend, in which the growth rate of AI in developed countries is more pronounced and exhibits a stable growth trend, while the growth rate of AI in developing countries displays a trend of instability. The research results show that AI has a significant inhibitory effect on ecological footprints. This conclusion holds even after endogeneity and robustness tests. In addition, under the effect of globalization, the impact of AI on ecological footprints shows nonlinear characteristics. As globalization deepens, the marginal effect of AI in reducing the ecological footprint shows an increasing trend. These findings emphasize the important role of AI in environmental governance and provide a new and comprehensive perspective for policymakers. Therefore, the government should continue to support the research and application of AI, promote the cross-industry integration of AI, and play a positive role in the process of globalization to promote global sustainable development., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Environmental pollution control and greenhouse gas emissions reduction have become the main ecological protection issues. The digital transformation of the financial sector provides a vital opportunity to holistically promote environmental governance. This article incorporates the synergistic reduction of pollution and carbon emissions into the environmental governance system of digital financial development. Using panel data from 280 cities in China between 2011 and 2018, we examine the impact of digital financial development on the synergistic reduction of pollution and carbon emissions. We find that (1) digital finance development can significantly improve the synergistic reduction of pollution and carbon emissions, effectively lowering carbon emissions while reducing pollution. External environmental concerns can further unleash the potential for digital finance development to enhance its synergistic reduction of pollution and carbon emissions. (2) The key transmission mechanism lies in the dual guidance of digital finance development toward biased technical change, i.e., toward energy-saving elements on the input side and toward reduced pollution output on the output side, thereby inducing the synergistic reduction of pollution and carbon emissions. (3) The synergistic effect of digital finance development on pollution and carbon reduction depends on the necessary regional development endowment, such as strong green technology innovation capabilities, lower traditional financial accessibility, and carbon sink reserves. This study expands the understanding of the environmental effects of digital finance development and offers crucial insights for exploring the optimal development path under green strategies., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Life expectancy can reflect both health benefit and implementation cost of climate policy. Nevertheless, little research has quantified the relation between life expectancy and climate policy in literature. In this paper, we attempt to narrow the research gap by studying how life expectancy is related to the Chinese nationwide emission trading scheme (CNETS). To achieve this research target, a Computable General Equilibrium (CGE) model is employed to simulate the operation of the economic system and the policy shock from emission abatement. The CGE model results show that life expectancy is prolonged by GDP but shortened by emissions, and the GDP impact on life expectancy is larger than the emission impact. Climate policy has dual effects on life expectancy because it relieves both negative emission impacts and positive GDP impacts on lifespan; its net effect on life expectancy is positive. Life expectancy positively impacts GDP, and this impact is moderated by climate policy; specifically, climate policy reinforces the positive impact of life expectancy on GDP. Life expectancy minimally affects carbon emissions during climate policy implementation; in other words, it has minimal impacts on emission abatement. These findings imply that climate policy and life expectancy complement each other; the government could implement climate policy to increase lifespan or prolong life expectancy to facilitate policy implementation., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

As an important policy instrument to achieve greenhouse gas emission reduction, carbon emissions trading has also promoted the green transformation of enterprises while achieving carbon reduction targets. This study uses the implementation of the Chinese carbon emissions trading pilot policy (CETPP) as a quasi-natural experiment and analyzes the impacts of the CETPP on the green transformation of enterprises with the difference-in-differences (DID) method based on a sample of 297 listed Chinese A-share high-energy-consuming enterprises. The result findings show that CETPP can significantly promote the green transformation of enterprises. The heterogeneity analysis also reveals that CETPP has differential effects on enterprises belonging to different industries, which is caused by the fact that enterprises in different industries differ significantly in their green transformation paths and modes. Moreover, CETPP has a significant facilitating effect on the green transformation of non-state-owned enterprises compared to state-owned enterprises. Finally, marketization and enterprise social responsibility are two major mechanisms for the CETPP to promote the green transformation of enterprises. Our findings reveal that policymakers should further deepen the dynamic management of carbon emission allowances and guide enterprises to actively undertake social responsibility, thus leveraging the market regulation mechanism to promote the green transformation of enterprises., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Literatures focus on whether formal environmental regulatory policies can effectively stimulate green total factor productivity (GTFP), but generally ignore the role of informal institutions such as public environmental appeals. This paper uses inter-provincial panel data and Non-Radial Slacks-Based Measure (SBM) model to measure GTFP. With the Baidu Environmental Search Index presenting the public environmental appeals, the dynamic panel System Generalized Method of Moments (SYS-GMM) and Differenced Generalized Method of Moments (DIFF-GMM) methods are used to explore the effect, transmission mechanism and conditions of the public's environmental demands on green total factor productivity. The study concludes that public environmental appeals are beneficial to improve GTFP, and this result still holds after endogenous and robustness tests. The mechanism results show that the green technology innovation effect is an important mechanism for public environmental appeals to improve GTFP. In addition, public environmental appeals of different pollutants and different locations have heterogeneous effects on GTFP. In addition, the public wealth level, human capital level, and government institutional environment play an important role in the impact of public environmental appeals on GTFP., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study aims to examine the effect of carbon dioxide emission and air pollution on agricultural productivity while accounting for the effect of renewable energy use, ICT, technological innovation, environmental policy stringency, and democracy for Brazil, Russia, India, China, and South Africa (BRICS) during the period 1990-2019. Several econometric procedures including mean group estimates are employed. The result suggests that both carbon dioxide emission and air pollution negatively affect the productivity of the agricultural sector. The effects of renewable energy, ICT, technological innovation, and democracy are found to be increasing agricultural productivity. Environmental policy stringency coefficient confirms the porter hypothesis. The result from the causality test suggests that bidirectional causality exists between CO 2 , PM 2.5 , renewable energy, technological innovation, ICT, and agricultural productivity. Finally, the study provides several policy suggestions for the governments of the BRICS economies in order to increase agricultural productivity while tackling the environmental vulnerability., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Based on the panel data of 278 prefecture-level cities in China from 2005 to 2017, this study takes the environmental information disclosure policy implemented in 2008 as a quasi-natural experiment and uses the difference-in-difference method to examine the impact of public environmental supervision on industrial structure upgrading. This study found that public environmental supervision has indeed significantly promoted the industrial structure optimization. It is noteworthy that, the impact of public environmental supervision on industrial structure optimization is heterogeneous across regions and corresponding to the intensity of environmental regulations. Public environmental supervision in the eastern region has significantly promoted the optimization of the industrial structure, while the promotion effect in the central and western regions is not obvious. Besides, the effect of public environmental supervision is more significant in the cities with relatively tight traditional environmental regulations. The mechanism analysis shows that public environmental supervision promotes industrial structure upgrading mainly by influencing the level of urban technological innovation, and the level of technological innovation plays an intermediary role between public environmental supervision and industrial structure optimization. This study has important reference significance for further improving the environmental information disclosure system and constructing an environmental governance system with the government as the leading body, enterprises as the main body, and the public as the common participation., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Environmental regulation and innovative development are essential means to solve the negative externalities of environmental pollution. However, developing countries often face the dual pressures of environmental pollution and innovative development. This paper focuses on whether environmental protection policies (EPP) can achieve a win-win situation between green development and innovative development. Based on the panel data of 277 cities in China from 2006 to 2016, this paper studies the impact of China's EPP on urban innovation efficiency by using a time-varying difference-in-differences approach. Combined with the geographical features of Chinese cities, we further take urban form into the mediating effect analysis. The results show that (1) EPP has a significant positive impact on innovation efficiency, and the result satisfies the parallel trend test; (2) the robustness test shows that EPP has technological innovation and diffusion effects; and (3) the mediating effect test show that urban form has a significant mediating effect on the impact of EPP on innovation efficiency. Therefore, environmental policies should be formulated considering the differences of urban form to achieve the optimal implementation effect., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The digital economy is playing a crucial effect in the field of environmental governance. Digital and intelligent management is an essential means to fully realize the "zero-waste city" construction. The present paper investigates the impact of digital economy on China's provincial "zero-waste city" construction. The results indicate that digital economy can contribute to "zero-waste city" construction. The digital economy has a positive nonlinear effect on the construction of "zero-waste city," but the marginal effect is diminishing. The digital economy can facilitate "zero-waste city" construction by improving industrial structure upgrading and green technology innovation. Heterogeneity analysis reveals that digital economy contributes to the construction of "zero-waste city" in the eastern and western regions and high-level environmental regulation regions, while this impact is insignificant in the central region and low-level environmental regulation regions. The digital economy exerts the most significant positive influence on waste resource recycling followed by waste final disposal and then waste reduction at the source. These findings underscore the effect of digital economy in fostering "zero-waste city" construction and promoting sustainable waste management. The present study provides new ideas for the "zero-waste city" construction in emerging developing countries such as China., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper attempts to investigate how the rapid development of China's environmental policy contributes to the changes in China's labour market. We first categorise the environmental regulations into (i) command-and-control policies, (ii) economic incentive policies, and (iii) voluntary environmental agreements (VEAs). Then, we use the provincial panel data over the 2000-2015 period to estimate the effect of alternative environmental regulations on employment in China. The results show that alternative environmental regulations have different impacts on employment. This difference even exists within the same group of environmental policies. Amongst the command-and-control policies, the three simultaneities policy leads to less employment, while the deadline governance systems increase employment. For economic incentive policies, higher environmental tax leads to lower employment, while more funding for environmental research promotes employment. The results also show that more VEAs reduced labour demand. In addition, the dynamic impact and regional heterogeneity of environmental regulations on employment are confirmed by the empirical estimation. Specifically, the economic incentive policies significantly impact employment in Central and Western China, whereas they have a non-significant impact on employment in Eastern China. This finding confirms that economic development impacts the relationship between environmental regulations and employment., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

With the continuous advancement of the technological revolution and industrial transformation, environmental governance supported by digital finance has become an important engine for achieving carbon neutrality. Based on panel data from 30 provinces in China, this study discusses the spatial spillover effect and transmission mechanism between digital finance and environmental pollution. Our research results confirm that the inhibitory effect of digital finance on local environmental pollution gradually increases with the improvement of digital finance. Interestingly, digital finance has a significant positive spatial spillover effect on environmental pollution in surrounding areas. The mediating effect shows that digital finance can alleviate environmental pollution by improving technological innovation, industrial upgrading and industrial structure rationalization. A higher degree of marketization and governmental support can increase the positive influences of digital finance on pollution reduction. This research proves the effectiveness of digital finance in improving environmental governance, and it encourages policy-makers around the world to rely on digital finance to promote ecological governance and achieve high-quality economic development., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper examines the effects of the green credit policy on forming three types of "zombie firms," namely, credit-subsidized zombie firms, poorly managed zombie firms, and comprehensive zombie firms, considering the quasi-natural experiment of the implementation of the "Green Credit Guidelines" in 2004. In this paper, I implement a difference-in-differences method and use the data of all Chinese A-share non-financial listed companies from 2008 to 2017. The results show that the green credit policy attempts to inhibit the formation of credit-subsidized zombie firms by reducing bank loan subsidies and evergreen lending. However, the green credit policy promotes poorly managed zombie firms by strengthening firms' financial constraints and reducing the working capital and investment efficiency. The green credit policy has not shown a significant impact on comprehensive zombie firms. Moreover, the green credit policy has shown a more significant impact on state-owned firms, firms in industries that heavily rely on external financing and are highly competitive, and firms involved in high financial marketization areas., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study aims to investigate the impact of environmental technological innovations and environmental policy stringency on green economic growth in China. The empirical analysis of the study is based on the ARDL model. Findings confirm that environmental technology positively impacts green economic growth in the short and long run. In the robust model, the estimates of all technologies appeared to be significantly positive in the short and long run. Conversely, the estimated coefficients of environmental policy stringency, in the basic and robust model, have only negatively impacted the green economic growth in China in the short run. In the long run, the environmental policy stringency has not shown any significant impact on green economic growth in China in the basic and robust model. China needs to increase environmental technology and environmental policy stringency for achieving green growth and sustainability targets., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Strict environmental regulations may change the behavioral decisions of firms. Based on the exogenous impact of the Chinese Central Government's inclusion of environmental performance in the assessment targets of municipal officials in 2007, this study uses the difference-in-difference method to explore the impact of environmental regulations on employee income. We find that (1) environmental regulations will significantly reduce the average wage level of employees in polluting industries and have no significant impact in nonpolluting industries. (2) This effect is more pronounced in eastern China, where environmental regulations are more stringent, and in areas where political promotion incentives are stronger. (3) Mechanistic analysis finds that environmental regulations will affect employee income by increasing costs and constraining financing. (4) More importantly, we find that the decline in the average wage level of firms is mainly due to the decline in the average wage level of ordinary employees, and the average wage level of management has not decreased significantly, which means that environmental regulations have expanded the functional income distribution. Our findings contribute to a comprehensive understanding of the effectiveness of environmental regulatory policy implementation and associated economic cost issues., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Under the pressure of environmental crisis caused by production and economic development, a policy for Leading Officials' Accountability Audit of Natural Resources (LOAANR) was issued in 2014 to reduce the environmental risks and gain high-quality economy. Taking LOAANR policy as the research object, and based on 2011 to 2018 panel data from Chinese heavy-polluting enterprises, this paper employed a two-way fixed difference-in-differences (DID) model to explore the relationship between the LOAANR, environmental costs (ECs) and green innovation (GI). It was found that the implementation of the LOAANR significantly promoted enterprise GI, with the regulating impact mechanism, EC. GI efficiency was measured by continuous DID method. A heterogeneity analysis revealed that non-state-owned enterprises (NSOEs) were more eager to environmentally innovate. A corporate life cycle heterogeneity analysis of the GI policy effect found that the policy effect was negative in the decline stages. Compared with the eastern Chinese enterprises, enterprises in other regions were found to be more prone to positively adopting GI to maximize benefits in the face of the LOAANR. The policy was observed to have inhibited GI in central Chinese enterprises. It was also demonstrated that the policy effect has time and regional dynamic effect. Common trend, placebo, PSM-DID tests, and another robustness regressions were applied to support the conclusions. All the findings are expected to provide basic theoretical guidance for more environmental policies and high-quality production., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The promulgation and execution of green credit (GC) policies have had a significant influence on the development of the economy and society, and their impact on low-carbon development (LCD) needs to be taken seriously. On the basis of elaborating the mechanism of the role of GC on LCD, this study constructs a panel fixed effects (FE) model to test the direct impact of GC on LCD by using Chinese provincial-level data from 2007 to 2020. An intermediary effect model is constructed to investigate its indirect effects. A dynamic SDM is further constructed to examine the spatial effects of GC on LCD in neighbouring regions. The results show that GC is helping China to achieve LCD. GC can promote LCD through promoting green innovation, optimizing energy structure and upgrading industrial structure. It is crucial to acknowledge that all three pathways are essential channels of influence and should not be disregarded. GC not only fosters LCD in the local areas, but also has a positive spatial spillover effect in adjacent regions. Based on the above conclusions, this study proposes policy recommendations such as increasing support for GC, smoothing the transmission channel from GC to LCD, and establishing a synergistic linkage mechanism between interregional credit and environmental governance. This study provides valuable insights for China to realize LCD, as well as for other countries to actively engage in energy conservation and emission reduction efforts., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Financial fragility, ICT capital, environmental policy stringency, and education are the main factors that have also gained popularity regarding their impact on green growth. This study examines the impact of financial fragility, ICT capital, environmental policy stringency, and education on green growth. For analyzing the short- and long-run estimates, we have applied the panel QARDL model. The results of the panel QARDL model highlight that the estimates of non-performing bank loans and bank costs are negatively significant in both the short and long run, implying that financial fragility hurts green growth in the short and long run. Similarly, the estimated coefficients of the internet (mobile) and education estimates are positively significant in the short and long run, confirming that ICT capital and education are causing green growth, while environmental policy stringency promotes green growth only in the long run. Regarding the asymmetric effects of all the factors on green growth, the Wald test only confirms asymmetric effects in the long run. The study offers several significant recommendations for sustainable green development policies., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The study investigated "Building Ecological Civilization: the Importance of Promoting Green Investments by Chinese Companies" to examine the complex connections between the factors affecting Chinese businesses' ecological performance (EP). An autoregressive distributed lag (ARDL) model is used in the study to analyze the impact of green investments (GI), the policy environment (PE), government support (GS), public awareness and perception (PAP), and technological capability (TC) on companies' earnings per share (EPS). The results show a strong correlation between GI and EP, indicating that businesses' growing use of green initiatives is essential for raising environmental sustainability. The study also shows that PE, TC, and EP have an inverse relationship, indicating the need for more supportive governmental policies and regulations and the effective adoption and implementation of green technologies. The interaction of GS and PAP significantly reduces the ecological impact of green investments, highlighting the significance of citizen involvement and the role of government in advancing ecological civilization. The findings also demonstrated that green investments, policy environments, public perception, and technology influence the ecological performance of businesses. They also demonstrate statistical robustness with low p-values. This information is essential for developing policies that support an ecological civilization, which is necessary for China and globally in light of the current climate crisis., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Campaign-style environmental implementation (CEI) is widely exerted in environmental protection, while its benefits and costs are controversial. We take advantage of the Central Environmental Protection Inspection (CEPI) System-a latest and distinguished form of CEI launched by China in 2016, as a quasi-natural experiment, to compare the benefits and costs of CEI based on water pollution effect estimates. Our results based on the annual panel data from 500 cities during 2009-2018 show that CEPI significantly reduced water pollution by an average of 20.7%. Further cost-benefit analysis based on the estimates of water pollution reduction shows that the potential health benefits of mortality and morbidity reduction resulting from CEPI are at least $12.26 billion, without bearing additional economic costs. We also explore why CEPI is cost-effective and find that CEPI reduces water pollution and becomes cost-effective mainly through deterring local officials, punishing polluting enterprises, and increasing public participation in environmental governance., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Using data from Chinese industrial firms from 2003 to 2012, this paper utilizes a difference-in-differences approach to investigate the impact of stringent command-and-control environmental regulations on firm productivity through Chongqing's daily penalty policy (DPP). Unlike the previous command-and-control environmental regulations of "low penalty amounts", "one-size-fits-all", and "one-off penalties", the DPP with "high deterrent effect" and "high cost of non-compliance" imposes continuous high fines of a fixed daily amount on persistent environmental violators. This is conducive to improving environmental quality while significantly increasing firms' total factor productivity (TFP). It provides empirical evidence for the validity of the strong Porter hypothesis in developing countries. A series of robustness tests ensure the credibility of these findings. The mechanism analysis shows that DPP can improve TFP of firms by stimulating the innovation compensation effect of firms and crowding out high polluting and inefficient firms in the industry. Heterogeneity analysis shows that the productivity of highly polluting, private, non-exporting and small-scale firms is significantly increased under the influence of DPP. This study provides new ideas for improving command-and-control environmental regulation to bring into play its Porter effect, and offers experiences and insights for regulating firms' emission behaviors to achieve a win-win situation for both economic growth and green development., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper uses a quantile fixed-effect panel data approach to investigate how environmental policy stringency affects CO 2 emissions in a set of 32 countries from 1990 to 2015, using OECD data. This approach allows us to identify the asymmetric impact of policy stringency on emissions, considering the emission level recorded in each analysed country. More precisely, we posit that the effectiveness of environmental regulations and policies is influenced by the air pollution level. Our results show that an increase in policy stringency has a negative impact on emissions and that environmental stringency has a more powerful impact in the countries with lower levels of carbon emissions. In addition, we show that policy stringency measures only became effective after the implementation of the Kyoto agreement, whereas the policy stringency effect is stronger for EU countries at high risk of missing the 20-20-20 target in terms of greenhouse gas emissions. Lastly, policy implications refer to the need to adapt policy stringency measures to emission levels to increase their effectiveness. At the same time, the setting up of emission targets determines policymakers to be more engaged in the fight against carbon emissions., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Taking industrial waste gas control as an example, this study explores the impact of fiscal decentralization on the efficiency of local governments' environmental governance under the pressure of competition, and analyzes the role of competition among local governments and support for R&D activities. The results demonstrate that fiscal decentralization can significantly promote the efficiency of local governance on control of waste gas, and this positive effect is mainly realized through the support from local government for R&D activities. As for the influence of inter-governmental competitions, only the competition in terms of governance efficiency delivers a significant U-shaped impact, and competition in expenditure scale and economy area weakly inhibits the positive influence of decentralization, meaning that the evaluation system centered on economic growth and the imitation strategy of local expenditure will not lead to a great decline in the efficiency of the use of environmental governance. Overall, this study suggests that further fiscal decentralization, emphases on government support for R&D activities, and enhanced environmental assessment in official evaluation are all the important directions for boosting the efficiency of governance., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The green innovations, environmental policies, and carbon taxes are the tools to achieve sustainable development goals (SDGs) in the mitigation process. This study is intended to examine the impact of innovation, carbon pricing (CTAX), environmental policies (EP), and energy consumption (ECON) on PM 2.5 and greenhouse gas (GHG) emission for Central-Eastern European countries. The panel effect during 2000-2018 is tested using a dynamic panel data model while the Granger causality approach obtains country-related outcomes. The outcomes reveal that eco-friendly innovations have a more profound effect on carbon mitigation. Environmental policies reduce emissions by 2.7% in the short run and 17.4% in the long run. Similarly, CTAX mitigates GHG emissions by 8.6% in the short-run and PM2.5 by 0.9% and 5.7% in the short and long run. However, urbanization, energy consumption and trade openness are the leading polluters in the region. The main findings remain dominant in the country-specific results and find unidirectional and bidirectional causality evidence among variables. The research concludes that green innovations and strict environmental policy can lead towards achieving sustainable development goals using carbon taxes as a tool on the way., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Environmental policies play an important role in the process of industrial low-carbon transition in developing countries. From the perspective of the impact condition and mechanisms, we discuss how to improve their effectiveness to give full play to the positive impact of environmental regulations. Based on provincial industrial data from 2003 to 2019 in China, this study uses a threshold regression model and endogenous regression to reveal the impact condition and mechanisms of environmental regulations on industrial low-carbon transition. The results suggest that (1) technological innovation capability and cost-bearing capacity are the key conditions for environmental regulations to exert a positive impact on low-carbon transition. (2) Environmental regulations have a positive impact on low-carbon transition through technological innovation (technology), resource reallocation (capital), and skill premium (labor). Research on the implementation conditions and mechanisms of environmental regulations will help policy-makers formulate appropriate and reasonable environmental regulations and eliminate the obstacles between environmental regulations and low-carbon transition, while an assessment of China's environmental policies will provide a reference for environmental governance in other developing countries., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The relationship between digital finance and regional green innovation has been partially confirmed, yet the role of environmental regulation in it remains unexplored. Therefore, this paper examines the impact of digital finance on regional green innovation and tests the moderating role of environmental regulation using Chinese city-level data from 2011 to 2019 as a research sample. The results show that digital finance can significantly promote regional green innovation by alleviating regional financing constraints and increasing regional R&D investment. Besides, digital finance has apparent regional difference effects (the contribution of digital finance to regional green innovation is greater in eastern China than in western China, and the development of digital finance in neighbouring regions has a negative transmission effect on local green innovation). Finally, environmental regulation positively moderates the relationship between digital finance and regional green innovation. This paper explores the relationship between digital finance and regional green innovation from the perspective of environmental regulation, providing empirical evidence to promote regional green innovation., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study examines the impact of the Chinese regional emission trading system (ETS) pilots on enterprise transformation from the perspective of diversification. We use data on Chinese A-share listed companies from 2004 to 2021, and adopt the staggered difference-in-differences (DID) and difference-in-difference-in-differences (DDD) models. The empirical results show that first, the ETS significantly increases the product quantity and revenue diversification of regulated firms. Second, the ETS promotes enterprise diversification through three channels: emission cost, emission risk, and market efficiency. Third, the ETS has a greater impact on the diversification of state-owned enterprises, firms with high business concentration, and firms with low innovation investment. Fourth, the ETS-driven diversification has not been successful as it has increased firms' costs and reduced their profitability. We recommend introducing industrial policies to guide the transformation of enterprises, encourage them to improve their innovation capabilities, and choose appropriate transformation strategies., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The inefficient enforcement of environmental policies cannot address global environmental challenges. As a result, China's government has implemented the Central Environmental Protection Inspection (CEPI) to overcome the policy-implementation gap between higher and lower levels of government. The existing literature has examined the positive effects of CEPI on environmental pollution, but has not explained the mechanisms for its success. To examine these mechanisms, this article uses a series of regression analyses on an empirical data set of 282 prefecture-level cities from 2010 to 2018. The results identify the mechanism for the effective implementation of CEPI, from the perspective of the campaign-style governance of local officials at local levels. This study also shows the heterogeneity of the campaign-style governance behavior of local officials, including position types and professional and cultural backgrounds. And finally, this study demonstrates that the campaign-style governance behavior of local officials has a moderating effect on the relationship between environmental pollution and local officials' promotion. Ultimately the article proposes that higher government levels should adopt the effective incentives policy to address gaps between environmental policy and implementation., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.)

This study aims to investigate the impact of economic growth, renewable energy consumption, nonrenewable energy consumption, industrialization, and environmental policy stringency on the ecological footprint in the BRICS countries over the period of 1995-2016. Series of the advanced econometric method, such as the novel dynamic seemingly unrelated regression (DSUR) method and the Dumitrescu and Hurlin panel causality tests, are employed for scrutinizing the estimations of the long-run and causal relationships among variables. The results suggested that the economic growth, renewable energy consumption, nonrenewable energy consumption, and industry have a positive relationship to the ecological footprint, while environmental policy stringency has been described in the BRICS countries as having a negative relationship with the ecological footprint. In addition, the bidirectional relationship is found between (i) the ecological footprint and economic growth and (ii) the ecological footprint and renewable energy consumption.

Environmental tax and environmental policy stringency are becoming central policy instruments for combating environmental degradation but there is a lack of studies that assess their combined effectiveness in mitigating emissions especially for emerging economies. We address this important gap by assessing the effectiveness of these two policy instruments in reducing CO 2 emission in a panel of 7 emerging economies for the period 1994-2015. We believe that this is the first attempt to apply these two important policy instruments in the same framework for testing their effectiveness in reducing CO 2 emissions in these 7 emerging economies. We apply heterogeneous panel data considering cross-sectional dependence and slope heterogeneity tests by using the Augmented Mean Group (AMG) which is efficient and unbiased and produces consistent estimates. We found an inverted U-shaped relationship between CO 2 emissions and environmental policy stringency suggesting that it takes time for environmental policy stringency to be effective. We also found unidirectional causality running from environmental policy stringency to CO 2 emission. CO 2 emission was negatively and significantly related to total environmental tax with causality running from total environmental tax to CO 2 emission thus supporting the "green dividend" hypothesis of improving environmental quality. In contrast, CO 2 emission and energy taxes were not causality related but CO 2 emission was negatively and significantly related to energy taxes. Robustness checks using the FMOLS also show that both environmental policy stringency and environmental taxes can be effective in mitigating CO 2 emissions.

Whether environmental regulations are conducive to improving green innovation in water pollution-intensive enterprises (WPIEs) is of guiding significance for China's protection of the water ecosystem environment and sustainable economic development. This study regards the implementation of the "Ten-point Water Plan" (TWP) policy in 2015 as a purely exogenous event for enterprises and employs a quasi-experimental method to fill this gap based on the panel data of Chinese listed companies from 2010 to 2019. The results reveal that TWP policy has significant negative effects on the green innovation of WPIEs, the main mechanism of which is increased compliance costs. In addition, a heterogeneity analysis shows that the negative effect is stronger for green innovation activities with higher costs and for WPIEs subject to stricter environmental regulations. This paper provides new evidence against the weak Porter hypothesis and implies that WPIEs are likely to purchase technologies and equipment to reduce wastewater emissions rather than green innovation, which means incentive-based measures should be taken to foster green innovation in the environmental policymaking process., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Ecological poverty alleviation (EPA) is an effective strategy to address the vicious circle of poverty and environmental destruction in poor areas. However, it remains controversial whether this strategy has really succeeded in this respect. Previous research investigated the impact of a certain factor on EPA, and only few studies integrated them to explore their differential effects, thereby overlooking the complexity of EPA. Therefore, this study quantified the overall efficiency of the EPA strategies of 28 poor counties in three provinces of Northeast China from 2005 to 2018 by using a super-efficiency slacks-based measure model. This model can take into account undesirable outputs; as such, it has significant advantages in measuring the coordination among economic and social development and environmental protection. The Tobit model was used to explore the factors influencing EPA efficiency. The results show that, first, the majority of counties investigated had an EPA efficiency below the overall national average. Second, as for the factors influencing EPA efficiency, it was found that (1) GDP per capita and investment in environmental governance favored EPA efficiency, as they are conducive to stimulating regional consumption dynamics and achieving green economic development; (2) science and technology expenditure and urbanization were not conducive to EPA efficiency; and (3) industrial structure and trade had insignificant effects on EPA efficiency, due to the small scale of industry and the inadequacy of the policy system. This study assessed EPA efficiency from a holistic perspective, and addressed the controversies over EPA's influencing factors, thereby providing an effective method to conduct regional EPA assessment and improve EPA performance in poor regions of China., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Strengthening environmental governance and green low-carbon policies is a key measure to improve agriculture green total factor productivity and develop sustainable agriculture. Against this background, this study explores the relationship between agriculture green total factor productivity (AGTFP), environmental governance, and green low carbon policies based on panel data of 30 Chinese provinces from 2005 to 2019, and the system generalized method of moments model is adopted. The empirical results are as follows: (1) Environmental governance will not only directly affect AGTFP, but also indirectly affect AGTFP by influencing green technology innovation. (2) Environmental governance can strengthen the promotion of green low-carbon policies to AGTFP. (3) There are regional differences in causality among AGTFP, environmental governance, and green low-carbon policies. These empirical results offer Chinese policymakers scientific and normative recommendations for improving AGTFP and developing sustainable green agriculture., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

China has maintained great economic growth in the past and reached the status of a middle-income country. Meanwhile, the relationships among environmental pollution, environmental regulation, and economic growth have attracted wide attention. In addition, some studies have shown that economic growth is not balanced in the division of income between labor and capital, and this has become one of the most important issues in China. The conflict over the environment and income distribution is supposed to cause social welfare loss; therefore, we want to examine the impact of environmental pollution and environmental governance on labor income share. Our empirical results show that the relationship between environmental pollution and share of labor income is positive at the present stage. However, the relationship is not linear but rather an inverted-U shape in the long run. In addition, we tested the effects of environmental regulation on labor income share and found an inverted-U-shaped relationship. Although growing concern about environmental pollution adds to the pressure on the government, our statistical results suggest that there is no perfect way to resolve environmental problems. Additionally, labor unions are expected to play a different role in income distribution.

Environmental regulation becomes essential to corporate technological innovation amid increasing concern with environmental issues. However, a clear understanding of the specific role of environmental regulation's ex-post effectiveness is lacking. Using the panel data of Chinese A-share listed firms during 2011-2018, we examine the effects of environmental regulation on corporate technological innovation. The results indicate that environmental regulation negatively affects corporate technological innovation. With regard to digital finance, it benefits for corporate technological innovation and positively moderates the relationship between environmental regulation and corporate technological innovation. The heterogeneity analysis suggests that the negative impact of environmental regulation over technological innovation is much significant for small-scale firms, western-region firms, and firms with strong financing constraints. Furthermore, the moderating role of digital finance is more significant for firms with strong financing constraints and heavy polluting firms. We also verify the robustness of the regression results. The current study provides both theoretical support and reference to improve corporate technological innovation and promote high-quality economic development through adopting reasonable policy measures., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

As a financial innovation model to promote sustainable economic development, carbon finance promotes green and inclusive economic development by reshaping the financial system. As a big energy consumer, China has been committed to the green transformation of energy structure, and carbon finance has been regarded as an important tool to support carbon emission reduction. This paper divides carbon finance from three levels, financial macro, environmental governance, and technological development, and selects 17 indexes to measure the development level of carbon finance in China. Time series regression model and the entropy weight method (EWM) are used to analyze the impact of carbon finance on China's energy consumption structure. The empirical results show that carbon finance plays a positive role in promoting China's energy consumption structure, and developing carbon finance is conducive to the use of clean energy and the optimization of energy consumption structure in China; carbon finance can further optimize China's energy consumption structure by investing capital, resources, and technology in industries related to promoting clean energy consumption. Therefore, China should continue to develop carbon finance and promote the establishment of a unified national carbon trading market; at the same time, China should use the CCER trading mechanism to promote the development of renewable energy and enhance the endogenous driving force of energy transformation by promoting technological progress., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The study examines the nexus between financial globalization (FG), environmental policy stringency (EPS), financial development (FD), and technological innovation (INV) on CO2 emission with moderating effect of technological innovation on financial development and environmental degradation in 36 OECD countries with an updated dataset from the period of 1990 to 2020 using PMG (Pooled mean group) panel ARDL method. The results of stationarity tests; (Levin, Lin, and Chu test; ADF Fisher test) demonstrate that selected variables are stationary at level I(0) and first difference I(I); this confirms that PMG estimator can be employed. Cointegration tests indicate that cointegration exist among the variables. The empirical findings of the PMG estimator indicate that financial globalization and CO2 are negatively associated with each other. While financial development, environmental policy stringency, and technological innovation have positive impact on environmental degradation in OECD countries. Furthermore, technological innovation strengthens the association between financial development (FD) and environmental degradation (CO2 emission). In order to accelerate economic growth, the study recommends that policymakers should implement environmental policies to achieve low-carbon mechanisms, such as green infrastructure and renewable energy systems, which reduce energy consumption and greenhouse gas emissions. Therefore, it is crucial that the selected OECD countries should develop programs that increase awareness of the risks of carbon emissions., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Environmental problems are endowed with the causal complexity of multiple factors. Traditional quantitative research on the influencing mechanism of environmental pollution has tended to focus on the marginal effects of specific influencing factors but generally neglected the multiple interaction effects between factors (especially three or more). Based on the panel data of 30 Chinese provinces between 2011 and 2020, this study employs fuzzy set qualitative comparative analysis (fsQCA) - which can provide a fine-grained insight into the causal complexity of environmental issues - to shed light on the influencing mechanism of environmental pollution. The results show that there are several different configurations of pollution drivers which lead to high pollution or low pollution in provinces, confirming the multiple causality, causal asymmetry, and equifinality of environmental pollution. Furthermore, the combination effect of advanced industrial structure, small population size, and technological advance is significant in achieving a state of green environment compared to environmental regulation factors. In addition, spatiotemporal analysis of the configurations indicates that strong path dependencies and spatial agglomeration exist in current local environmental governance patterns. Finally, according to our findings, targeted policy recommendations are provided., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The relationship between environmental regulation and economic growth is difficult to reconcile, resulting in the "involutionary" dilemma of local government environmental governance. Using panel data from Chinese A-share listed industrial companies between 2010 and 2019, this paper collected data on environmental protection interview and central environmental protection inspection and empirically investigated the impact of both on high-quality economic growth of companies using the difference-in-difference method. First, both environmental protection interview and central environmental protection inspection significantly promote high-quality economic growth, according to the findings. Second, the two-pronged policy effect of environmental protection interview and central environmental protection inspection is more significant, and the promotion effect on high-quality economic growth is greater than the effect of the two policies separately. Third, the dual policy action significantly promotes high-quality economic growth of state-owned and non-state-owned enterprises; however, non-state-owned enterprise economic growth is more sensitive to the central environmental protection inspection, and policy effects show a heterogeneous pattern in the east, central, and west regions. Therefore, the effective integration of environmental protection interview and central environmental protection inspection should be accelerated so that environmental pollution control and economic growth can be carried out together., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

In recent years, economic growth has caused an increasing number of environmental problems in China. In order to achieve the goal of carbon peak on schedule, enterprises need to accelerate green transformation and upgrading. Environmental protection expenditure and green technology innovation are important means of corporate environmental governance strategy, but it is unknown whether they can promote the sustainable development of enterprises. Therefore, this article will analyze the effect of enterprise environmental protection expenditure and green technology innovation on financial performance. Based on relevant theories, this study builds a theoretical model to demonstrate how enterprise environmental protection expenditure and green technology innovation can affect the financial performance of heavy polluting enterprises. Empirical tests are carried out using 293 heavy polluting enterprises in China as the sample. The results reveal that: (i) Enterprise environmental protection expenditure has significant negative effects on current enterprise financial performance, while green technology innovation can significantly promote enterprise financial performance. (ii) When the lag period is two periods, the enterprise environmental protection expenditure and green technology innovation have positive effects on enterprise financial performance respectively, and the effects are the most significant. (iii) Enterprise environmental protection expenditure and green technology innovation synergistically promote enterprise financial performance in the current period, and the impact has a lag effect. (iv) In state-owned enterprises and enterprises with higher corporate governance level, the synergetic promotion effect of environmental protection expenditure and green technology innovation on enterprise financial performance is more significant. Finally, this study provides suggestions for promoting the transformation and upgrading of heavy polluting enterprises and achieving sustainable development from the perspectives of the government, enterprises and the public., (© 2022. The Author(s).)

Environmental stringency policy shocks and environmental tax have become fundamental policy tools for mitigating the degradation of the environment. The study explores the effects of environmental tax and environmental stringency policy shocks in the reduction of pollution emissions in China for the time 1993 to 2019. This study is a pioneer in assessing the simultaneous impact of these two policy instruments on pollution emissions in China. For empirical investigation, the study employed NARDL estimation techniques. The NARDL results show that positive shocks in environmental tax reduce N2O emissions by 0.03%, PM2.5 emissions by 0.13%, CO 2 emissions by 0.18%, and GHGs emissions by 0.01%, however, negative shocks in environmental tax increase N 2 O emissions by 0.01%, PM2.5 emissions by 0.07%, CO 2 emissions by 0.28%, GHGs emissions by 0.17% in the long run. The long-run results also show that positive shocks in environmental policy stringency reduced CO 2 emissions by 0.94%, GHGs emissions by 0.77%, while negative shocks in environmental policy stringency increased N 2 O emissions by 0.17%, PM2.5 emissions by 0.50%, CO 2 emissions by 0.63%. The findings suggest vigorous policy implications., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The existing literature on smart city pilots mainly focuses on the city level and rarely addresses the firm level. This paper assesses the impact of smart city pilot policy (SCP) on firms' total factor productivity (TFP) and explores the impact of SCP under different heterogeneities as well as the mechanisms of action of the SCP. The LP approach is used in this paper to measure firms' TFP, and the impact of SCP is analyzed by the DID model with firms' panel data from 2009 to 2019 as research objects. First, it was found that the SCP can significantly increase the TFP of firms (0.041). Second, through heterogeneity analysis, we found that SCP can strengthen the monopoly position of monopolistic firms and state-owned enterprises. Moreover, the SCP can also alleviate the development imbalance of TFP between firms in coastal and non-coastal areas. In addition, SCP can significantly improve TFP of heavy polluting enterprises. Finally, we find that the important ways for SCP to improve firms' TFP is increasing investment in technological innovation, talent agglomeration, attracting financing, improving resource allocation efficiency, and digital transformation. The study provides unique insights for policy makers and business managers in China and other emerging countries to enhance TFP and achieve corporate sustainable development., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Taking the green credit policy in 2012 as a quasi-natural experiment, this paper has investigated the impact of green credit policy on Chinese firms' green strategy choices by using the panel data of A-share listed firms from 2008 to 2019. The results reveal that green credit improves firms' green innovation overall. In terms of time, the green-washing behavior of listed firms will increase significantly in the early stage of the implementation of green credit policy, but as time goes by, such green behavior of firms will be detected, which in turn will motivate firms to improve green innovation. Furthermore, the green credit policy has a more significant effect on green innovation of firms in localities under high environmental regulation, economically developed regions, and without other alternative financing channels. Firms located in regions with economically underdeveloped and low environmental regulation are more inclined to adopt the behavior of green-washing environmental information. Besides, after the implementation of the green credit policy, green innovation can improve corporate financial, environmental, and social performance, while green-washing behavior will damage corporate financial, environmental, and social performance. Our findings contribute to the literature on green credit policy, corporate green innovation, and environmental information disclosure, and also provide policy implications for improving the quality of green credit policy in the future., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper used a dynamic spatial panel model to empirically analyze the effects of environmental regulation, market demand, and the associated spatial spillovers on regional green innovation in China, from which the following was found. (1) The environmental regulations had a positive "U-shaped" effect on local green innovation and a positive neighborhood spillover effect, and market demand had a significant positive effect on local green innovation and a "ripple effect." (2) The mechanism analysis found that the environmental regulations tended to inhibit regional green innovation input through a "cost compliance" effect, and market demand had a stronger incentive effect on innovation input than the environmental regulations, thus promoting the improvement of green innovation level. (3) The environmental regulation and market demand effects on green innovation had obvious spatial and temporal heterogeneity. The results of this study could help to promote regional green innovation by formulating reasonable environmental policies and stimulating the vitality of green technology market., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

An enterprise's green value chain comprises a multitude of factors and links for a successful green transformation, and relevant environmental policies are multi-dimensional and multi-sectional. Environmental policies can affect the enterprise's green development through stimulating the supply of green services or by increasing the demand for green products. Based on 346 policy statements issued by various government departments from 2000 to 2020, this paper matches the "type" of environmental policy with the "dimension" of value chain of manufacturing companies, establishing a coordination model and a co-existing network to measure how both elements interact. The results indicate a notable phenomenon with the Chinese government's enterprise environmental policies, which can be described as "heavy supply-driven, light demand-pull." A strong emphasis is put on the supply side of policies, in particular for the technology innovation sector, but the demand end of policies is comparatively minimal. The synergy between the policies and the links in the green value chain is divergent, which replicates the "heavy end-treatment, light front-prevention" seen with existing policies. Policy synergy at the end of the value chain such as the green production process is more mature and well-integrated, while the synergy for green product development lacks policies on both ends. The mismatch and imbalance of policies limits the overall level of green transformation for manufacturing enterprises., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

In this study, we analyze the time-varying causality linkages between energy consumption, economic growth, and environmental degradation in 33 Organization for Economic Co-operation and Development countries, spanning the period 2000 to 2013. The curve causality approach provides evidence of a significant environmental Kuznets curve in 25 countries in the case of the ecological footprint and in 23 countries in the case of the Environmental Performance Index. However, out of them, only Italy, Slovakia, and South Korea have traditional environmental Kuznets curve, in the form of an inverted U-shaped curve. For the remaining countries, different forms of curves are valid. In particular, an N-shaped curve appears to be valid between income and environmental degradation for nearly half of the sample, i.e., for Austria, Belgium, Chile, Estonia, Finland, France, Germany, Hungary, Luxembourg, Netherlands, Sweden, Switzerland, New Zealand, Turkey, and the USA. Additionally, bidirectional causality relationships are confirmed among all covariates in most countries. In view of the results, some crucial policy implications would be suggested, such as sustainable development that aims to make a balance between economic growth and environmental protection.

Environmental regulations affect employment through productivity output and factor substitution. This paper employs a difference-in-differences (DID) method to investigate the effect of China's Two Control Zones (TCZ) policy on the urban employment in 287 cities from 1994 to 2009. We apply the DID method to two time points: 1998 for policy issuance and 2000 for the policy implementation. From the results of analyses on full-sample cities, the TCZ policy did not contribute to increasing total urban employment. Moreover, a negative impact on employment resulted from sulfur dioxide and acid rain controls in secondary and tertiary industries, respectively. In the acid rain control zone, the TCZ policy increased the average wage of urban workers. Negative effects on employment were observed in larger cities. The policy triggered labor migration from larger to smaller cities, resulting in significant increases in primary and tertiary industry employment in smaller cities, although the effects on mid-size cities were insignificant. This study provides important empirical evidence and insight into the impact of the TCZ policy on urban employment.

Much of the existing research analyses on emissions and climate policy are dominantly based on emissions data provided by production-based accounting (PBA) system. However, PBA provides an incomplete picture of driving forces behind these emission changes and impact of global trade on emissions, simply by neglecting the environmental impacts of consumption. To remedy this problem, several studies propose to consider national emissions calculated by consumption-based accounting (CBA) systems in greenhouse gas (GHG) assessments for progress and comparisons among the countries. In this article, we question the relevance of PBA's dominance. To this end, we, firstly, try to assess and compare PBA with CBA adopted in greenhouse gas emissions accounting systems in climate change debates on several issues and to discuss the policy implications of the choice of approach. Secondly, we investigate the convergence patterns in production-based and consumption-based emissions in 35 Annex B countries for the period between 1990 and 2015. This study, for the first time, puts all these arguments together and discusses possible outcomes of convergence analysis by employing both the production- and consumption-based CO 2 per capita emissions data. The empirical results found some important conclusions which challenge most of the existing CO 2 convergence studies.