Public environmental concern, government environmental regulation and urban carbon emission reduction-Analyzing the regulating role of green finance and industrial agglomeration

In the multifaceted realm of environmental governance, emphasizing public environmental participation as an informal regulatory mechanism, alongside the influence of formal governmental environmental regulation on regional carbon emissions, contributes to providing empirical evidence and policy insights for China's "dual‑carbon target" action plan. Using data from 282 prefecture-level cities in China from 2011 to 2020, this research develops an analytical framework for urban carbon emissions encompassing public environmental concern, environmental regulation, green finance, and industrial agglomeration. And through an amalgamation of theoretical insights and empirical validation, the study elucidates the mechanisms by which public environmental concern impact urban carbon emissions. It further delves into the mediating role of environmental regulation and the moderating effects of green finance and industrial agglomeration. It reveals that: (1) Public environmental concern significantly reduces urban carbon emissions, particularly in northern cities, non-environmental protection key cities, and resource regeneration cities. And this suppressive influence is markedly more potent via mobile platforms compared to PC channels; (2) Environmental regulation serves as a partially mediating role between public environmental concern and urban carbon emissions, suggesting that public environmental concern reduces emissions by amplifying governmental environmental oversight; (3) Both green finance and industrial agglomeration play a positive moderating role on the effect of public environmental concern in reducing urban carbon emissions.

Who will Spend more Pollution Abatement Costs: does Size Matter?

This paper looks at the relationship between enterprise size and pollution abatement costs using firm-level datasets in China, where size-dependent distortions may exist in the distribution of enterprises of different sizes. We find that the pollution abatement costs decrease with enterprise size. Compared to the smallest size, the magnitudes of marginal decreases in pollution abatement costs per 1000 CNY of industrial output in the largest size are 3.29 CNY, 0.54 CNY and 2.60 CNY for gas, SO2 and dust, respectively. Moreover, we further explore the potential mechanisms for the decrease of pollution abatement costs from three perspectives: environmental protection-related investment, regulation intensity, and technological capability. Our findings suggest that the decrease in the intensity of environmental protection-related investment for large enterprises may be directly reduce the intensity of pollution abatement costs. Although large enterprises have low intensity of pollution abatement costs, this does not mean that they are subject to weaker environmental regulation. More importantly, we find that large enterprises may have more adoption of abatement technologies. For SO2 and dust, the pollutant removal efficiency of the largest enterprises is 4.92% and 1.82% higher than that of the smallest enterprises, respectively. Our results are robust to different specifications. These findings help us enact appropriate policies for enterprises based on their size, thereby improving the efficacy of pollution abatement and achieving the optimal level of pollution abatement for the entire society.

How does the development of the digital economy influence carbon productivity? The moderating effect of environmental regulation

Improving carbon productivity is of great significance to China's "30 · 60" carbon target, while the development of the digital economy is a driving force for green transformation. However, few studies discuss the relationship between the digital economy and carbon productivity. We investigate the influence of digital economic development on carbon productivity using panel data from 30 Chinese provinces from 2011 to 2020. Spatial econometric and moderating effects are considered. The results show that (i) digital economy has a positive direct and negative spatial spillover effect on carbon productivity, and this conclusion is still valid after the robustness test and endogeneity test; (ii) digital infrastructure has a greater impact on carbon productivity than digital industrialization and industrial digitalization; (iii) the mechanism analysis shows that environmental regulation negatively moderates the relationship between the digital economy and carbon productivity; (iv) heterogeneity analysis shows that the effect of the digital economy on carbon productivity is more obvious in the central region compared to the western region, while it is not significant in the eastern region. Overall, this paper not only provides a new analytical perspective for understanding the improvement of carbon productivity in the digital economy but also provides policy inspiration for promoting carbon peak and carbon neutrality goals.

Heterogeneous relations among environmental regulation, technological innovation, and environmental pollution

In this study, interprovincial panel data of China from 2011 to 2020 are selected and empirically examined to determine the effects of three types of environmental regulation tools: command-and-control, market-incentive, and public-participation types. Then, hierarchical regression analysis and instrumental variables are used to analyze and verify the mediating role of technological innovation. Results show no significant relationship between command-and-control regulation and environmental pollution, while market-incentive and public-participation regulations have a significantly negative inhibitory effect on environmental pollution and contribute to pollution reduction. In addition, product and process innovations play partially mediating roles between market-incentive regulation and environmental pollution and between public-participation regulation and environmental pollution, respectively, thus indicating that technological innovation is an effective way to reduce pollutant emissions. Compared with product innovation, process innovation has a better effect on pollution emission reduction but a smaller incentive effect under environmental regulation. This finding indicates that enterprise technology innovation and environmental regulation fail to achieve a suitable match for maximizing environmental benefits. Further analysis shows that the effects of the three types of environmental regulation tools on reducing pollution emissions vary in different periods and show significant changes around 2010. The effects of command-based regulation weaken, while those of the pollution abatement of market-incentive and public-participation regulations increase.

The impact of environmental regulation on green investment efficiency of thermal power enterprises in China-based on a three-stage exogenous variable model

Due to the increased frequency of extreme weather events and the implementation of the China's dual-carbon target, thermal power companies have been under pressure to construct green infrastructure and to actively pursue low-carbon transformation in response to stricter environmental regulations. This research thus selects 30 listed thermal power enterprises in China as study objects and assesses their green investment efficiency in the low-carbon transition process using three-stage DEA evaluation model with environmental regulation as an exogenous variable. Based on this, a benchmark regression model is used to corroborate the relationship between environmental regulation and green investment. Simultaneously, we carry out analysis to compare the correlation between thermal power firms' green investment efficiency and their focus on green investments. The results show in terms of total efficiency that environmental regulation significantly improves the total efficiency of 80% of thermal power enterprises compared to the absence of this exogenous variable. With the addition of environmental regulation, firms' total efficiency declines gradually in general from 2018 to 2022, with the mean value of efficiency falling by 0.068. In terms of stage-specific efficiency, the efficiency of the green investment stage of the majority of firms is between 0.3 and 0.6, which is much lower than that of the operational stage and the market performance stage. In terms of sub-indicator efficiency, both green investment efficiency and social donation efficiency among thermal power enterprises show obvious polarization, with 30% of them having an efficiency of 1 and 30% less than 0.1. In terms of green investment focus, thermal power unit renovation has a more obvious role in boosting the green investment efficiency of thermal power enterprises than do wind power and photovoltaic projects. Therefore, both governmental departments and thermal power enterprises need to take active measures in order to achieve green transformation from the perspective of green investment efficiency. Through the segmentation of important projects of green investment, this paper provides a reasonable investment direction reference for the sustainable transformation of China's thermal power industry. It also provides a rich and novel theoretical basis for the Chinese government to further improve the relevant environmental protection laws and regulations of thermal power industry.

Bioremediation potential of the Chlorella and Scenedesmus microalgae in explosives production effluents

This study explores microalgae-based bioremediation for treating black gunpowder production effluents, an understudied yet environmentally significant stream. Two native microalgae, Chlorella sp. MC18 (CH) and Scenedesmus sp. MJ23-R (SC), were assessed for growth kinetics and nutrient removal capabilities in culture media containing different proportions of untreated raw wastewater. Results show both species thrived in 100 % raw wastewater, displaying robust growth and substantial biomass production in parallelepiped-shaped photobioreactors. SC showed superior performance, with higher maximum specific growth rate (0.549 d-1), biomass yield (454.57 mg L-1) and biomass productivity (64.94 mg L-1 d-1) compared to CH (0.524 d-1, 380.60 mg L-1, 54.37 mg L-1 d-1, respectively). The use of 100 % raw wastewater as a culture medium eliminated the need for additional freshwater input, thus reducing the water footprint. The bioremediation process also resulted in a high removal efficiency in turbidity (>95 % CH, >76 % SC), total suspended solids (>93 % CH, >74 % SC), biochemical oxygen demand (BOD5) (>62 % CH, >93 % SC) and chemical oxygen demand (COD) (>63 % CH, >87 % SC), bringing the effluent into compliance with environmental regulations. Although nitrogen (>45 % CH, >57 % SC) and sulphate (>43 % CH, >35 % SC) removal efficiencies was high, potassium bioremediation was limited (<6 %). The proximate chemical composition of the microalgal biomass revealed different allocations to carbohydrates, lipids and proteins. The results suggest promising applications for biofuel production and aquaculture. This research highlights the potential of microalgae-based bioremediation for sustainable wastewater management in the explosives industry, contributing to the UN Sustainable Development Goals and promoting green industrial practices.

Impact of Environmental Protection Tax on carbon intensity in China

In the context of increasingly severe global climate change, finding effective carbon emission reduction strategies has become key to mitigating climate change. Environmental Protection Tax (EPT), as a widely recognized method, effectively promotes climate change mitigation by encouraging emission reduction behaviors and promoting the application of clean technologies. Based on data from 282 cities in China, this paper takes the official implementation of the EPT in 2018 as the policy impact and the cities with increased tax rates for air taxable pollutants as the treatment group and uses DID model to systematically demonstrate the relationship between the implementation of the EPT and carbon intensity (CI) and further explores the possible pollutant emissions and green innovation mediating effects. The findings show that (1) the implementation of EPT can effectively reduce CI by about 4.75%, and this conclusion still holds after considering the robustness of variable selection bias, elimination of other normal effects, policy setting time bias, and self-selection bias. (2) The implementation of EPT can reduce CI by reducing pollutant emissions and improving the level of green innovation. (3) There is obvious regional heterogeneity in the carbon reduction effect of EPT, and the implementation of EPT has a more significant effect on CI in medium-tax areas, low environmental concern areas, general cities, and eastern regions. This paper not only provides a new analytical perspective for systematically understanding the carbon emission reduction effect of EPT but also provides policy insights for promoting regional green transformation and advancing carbon peak carbon neutralization.

Environmental regulation, land use efficiency and industrial structure upgrading: Test analysis based on spatial durbin model and threshold effect

Environmental regulation promotes industrial structure change and regional economic transformation through land use adjustment, which gets a new way to explore the path of reforming traditional industrialization and urbanization. Based on the panel data of 128 prefecture-level cities in China 's Yangtze River Economic Belt from 2000 to 2020, this paper uses the spatial Dubin model to analyze the impact of environmental regulation and land use efficiency on the upgrading of industrial structure, and sets the panel threshold model to examine the impact of environmental regulation on the upgrading of industrial structure by affecting land use efficiency. The results show that formal environmental regulation has a significant positive spatial effect on the rationalization and upgrading of industrial structure, which are 0.1734 and 0.2854 respectively. Informal environmental regulation has a negative spillover effect on neighboring provinces but not significant. Heterogeneous environmental regulation has obvious "double threshold effect" on industrial upgrading by affecting land use efficiency. When the threshold of environmental regulation intensity is 0.0315-0.0886, environmental regulation still inhibits land use efficiency and industrial structure upgrading. When the threshold value is greater than 0.0886, environmental regulation has a positive impact on land use efficiency but not significant. With the intensity of environmental regulation from weak to strong, it will produce a double threshold effect of "strong inhibition-weak inhibition-interaction promotion" on the upgrading of manufacturing structure through the adjustment of land use efficiency.

A dynamic panel threshold model analysis on heterogeneous environmental regulation, R&D investment, and enterprise green total factor productivity

Environmental regulations are important means to influence manufacturing enterprise green development. However, there are two completely different conclusions both in theoretical and in empirical research, namely the "Follow Cost" theory and the "Porter Hypothesis". The nonlinear mechanism needs to be considered. Therefore, this study aims to explain the threshold impact of heterogeneous environmental regulations on enterprise green total factor productivity. Environmental regulations are divided into different sub-categories, then based on the panel data of 1220 Chinese manufacturing listed companies from 2011 to 2020, this paper uses threshold regression model to examine the impact of heterogeneous environmental regulations on Chinese manufacturing enterprise Green Total Factor Productivity. The empirical results show that: (1) Command-controlled, market-incentive and voluntary-agreement environmental regulation all have a significant nonlinear impact on enterprise Green Total Factor Productivity. (2) Enterprise R&D investment plays a threshold role in the impact. (3) There are industry and equity type differences in the impact process. This study focuses on the micro level of enterprises and tests the threshold mechanism, which make some theoretical complement to previous researches. The research results are not only beneficial for the government to propose appropriate environmental regulatory policies, but also for enterprises to achieve green growth through heterogeneous R&D investment.

Economic level, environmental regulation, and new energy industry development

Using panel data of 30 provinces and new energy (NE)-listed enterprises in China from 2011 to 2020, this paper uses basic model to research the impact of various environmental policies in China on NE industry development firstly. Then, using economic level as a threshold variable, a threshold model was constructed to research the impact of economic level on the relationship between environmental regulation and NE industry development. The research results show that firstly, various environmental policies in China have significantly promoted the development of the NE industry. This is mainly manifested in two aspects. One is environmental regulations significantly increased the NE industry output value and profit, the other is environmental regulations enhanced the NE industry growth potential. Secondly, the regional economic level has a significant impact on the relationship between environmental regulations and NE industry development. The promotion effect of environmental regulations on NE industry development depends on the regional economic level. When the regional economic level exceeds the threshold, the promoting effect of environmental regulations on NE industry development significantly increases. The reason is that a weak economic foundation will affect investment in the NE industry. Insufficient capital investment will inevitably seriously hinder the development of the NE industry. Thirdly, residents' education status, financial support, and NE industry agglomeration degree have a positive impact on the development of the NE industry, while population size has no significant impact on NE industry development.

Assessing the impact of international trade on ecological footprint in Belt and Road Initiative countries

The Belt and Road Initiative (BRI) is one such comprehensive plan that aims to boost economic growth and connectivity across Africa, Asia, and Europe. While the effort may be good for boosting exports and foreign direct investment (FDI), some are worried about the toll it may take on the environment. Therefore, we aim to examine the effect of international trade and FDI on the ecological footprint in BRI countries, considering the mediating role of the environmental performance index. The CCEMG estimator was used to examine the impacts of imports, exports, FDI, population growth, urbanization, and the Environmental Performance Index (EPI) on the global ecological footprint. Our findings show that export has a positive relationship with ecological footprint. Similarly, imports and FDI revealed a positive association with the ecological footprint. Finally, environmental performance revealed a negative association with ecological footprint in BRI countries. Our findings support the pollution haven theory by demonstrating the critical importance of environmental regulations in enticing responsible investors. By using the ecological footprint as an all-encompassing measure of environmental effect, this study sheds light on the need to incorporate sustainability within the goals of the BRI. This research emphasizes the importance of adopting well-informed methods to promote sustainable development and mitigate the BRI's adverse environmental impacts.

Does environmental regulation affect analyst forecast bias? Evidence from China's Low-Carbon Pilot Policy

This study investigates the impact of China's Low-Carbon Pilot Policy on analyst forecast behaviors. Using a staggered difference-in-difference approach, we find that the program reduced analyst forecast errors and divergence, as mandatory sustainability disclosures enable analysts to incorporate new information to improve forecast quality. The effect is concentrated in state-owned firms and manufacturing-oriented cities. Additional tests explore accounting information quality and investor attention as plausible channels. Overall, exploiting a major Chinese environmental regulation, we provide novel evidence that green policies can enhance transparency and capital market efficiency. The findings offer implications for regulators, investors, and managers as countries pursue climate change mitigation strategies.

Accountability audit of natural resources and total factor productivity-Evidence based on Chinese listed companies

Based on a natural event, namely a pilot accountability audit of natural resources conducted by local officials in 2014, this study empirically investigates the impact of the pilot on the total factor productivity (TFP) of enterprises. The study utilizes the Differences-in-Differences model with an observation window spanning from 2012 to 2015. The findings indicate a significant reduction in the total factor productivity of enterprises in the pilot area due to the implementation of the pilot program. The study identifies that this impact is primarily driven by increased production costs and decreased investment. Further analysis reveals heterogeneity in the effects, with regions characterized by low levels of economic development, distortions in the production element market, low competition in industries, heavy asset-intensive industries, large enterprises, and absolute holding enterprises experiencing a more pronounced impact of the audit on total factor productivity. Overall, this study sheds light on the influence of accountability audits of natural resources on the real economy and offers valuable insights for policymakers.

Global energy transition and foreign environmental regulations: Impacts on Russian regions' export volumes

This paper analyses the impacts of trading partners' environmental regulation on the export volumes of the Russian regions, using panel data covering about 140,000 observations in 84 Russian regions and 204 countries for the period 2013-2020. We employ the Gravity Model of international trade and Heckman Sample Selection methodology, with the fixed effects and random effects Poisson Pseudo-Maximum Likelihood techniques to analyse two subsamples of the Russian regions with different shares of environmentally sensitive goods in regional exports. As a robustness check, we utilize the non-parametric Driscoll-Kraay approach. The results of the econometric estimation demonstrate that environmental regulations enhance the export of regions with a high share of environmentally sensitive goods in export structure, while for the rest of the regions the environmental regulations negatively affect export volumes. The promoting effect is associated with a higher level of innovativeness of the regions and the role of the global energy transition process. We conclude that the environmental agenda is a challenge for some Russian regional exporters due to the lack of own environmental regulation, and to the specific features of the commodity and geographic structure of exports. To transform the negative impact into the positive one for all Russian regions, policy measures are necessary on the federal, regional, and company levels, encompassing environmental regulations and green development strategies, along with innovation and cluster policies, and the development of human capital and infrastructure.

The impact of green finance policy on green innovation performance: Evidence from Chinese heavily polluting enterprises

Green innovation (GI) is increasingly recognised as an effective strategy for tackling climate change, mitigating environmental issues, and promoting sustainable development. Using panel data of the Chinese listed firms from 2007 to 2019, this study adopts the difference-in-differences approach to assess the impact of the green finance policy (GFP) initiated by the Chinese government in 2012 on the green innovation performance of firms. The findings reveal that the GFP significantly boosts the green innovation performance of heavily polluting enterprises (HPEs). Notably, this effect is more pronounced in state-owned enterprises and firms with high dependence on external finance. Compared with penalty-based regulations, incentive-based and voluntary environmental regulations demonstrate more significant moderating effects on the relationship between the GFP and green innovation performance for HPEs. We also identify improved efficiency in the usage of green investments as a potential mechanism through which the GFP enhances the green innovation performance of HPEs. Further comparative analysis shows that green enterprises can achieve simultaneous improvement in both the quality and quantity of green innovation, whereas HPEs predominantly exhibit enhancements in innovation quantity. To maximise the GFP's positive effects, it is recommended to facilitate more targeted bank lending towards HPEs to support their structural transformation. Additionally, the coordinated deployment of diverse environmental policy instruments is advised to exploit their synergistic effects.

The impact of digital infrastructure on provincial green innovation efficiency-empirical evidence from China

In the epoch of the digital economy, technological innovation and energy conservation are significantly facilitated by digital infrastructure, leading to substantial improvements in green innovation efficiency at the provincial level. This study employed the feasible generalized least square (FGLS) method to examine the effects of digital infrastructure on the green innovation efficiency across 30 provinces in the Chinese mainland, utilizing panel data from 2011 to 2020. Additionally, this investigation delves into the intervening role of industrial structure upgrading and the amplifying effects of environmental regulation and human capital on the process. Findings indicate that, to begin with, digital infrastructure contributes to the meaningful enhancement of green innovation efficiency within provinces. Subsequently, the industrial structure upgrading partially mediates the impact of digital infrastructure on the efficiency of provincial green innovation. Lastly, both human capital and environmental regulations amplify the beneficial influence of digital infrastructure on the effectiveness of green innovation at the provincial level. This study provides valuable insights into the mechanisms through which digital infrastructure boosts green innovation efficiency, aiding policymakers in formulating appropriate policies to augment digital infrastructure, thereby promoting provincial green innovation efficiency.

The impact of public environmental preferences and government environmental regulations on corporate pollution emissions

The Chinese government has attached great importance to pollution emission reduction. Since public environmental preference plays an important role in curbing polluting emissions by companies, this paper aims to explore the impact of public environmental preference and government environmental regulation on corporate pollution emissions. The coordinating role of environmental preference in the implementation of environmental regulatory policies is analyzed using pollution emission data of Chinese enterprises. The results show that both environmental preference and environmental regulation have significant inhibitory effects on corporate pollution emissions. The inhibitory effects are achieved by promoting the green technology progress. With high environmental preference, environmental regulation can effectively curb corporate emissions. This paper is helpful for policy makers to formulate ecological and environmental protection policies and cultivate public environmental preferences.

The impact of environmental regulation on renewable energy development in China from the perspective of spatial effects

From a spatial perspective, this paper constructs a spatial Durbin model based on the adjacent weight matrix to analyze the impact of environmental regulation on the development of renewable energy in 30 provinces (autonomous regions and municipalities directly under the Central Government) in China from 2007 to 2020. The results show that (1) both environmental regulation and renewable energy development have positive spatial autocorrelation and form relatively similar spatial agglomeration areas, specifically showing the characteristics of "high-high" agglomeration in resource-rich areas and "low-low" agglomeration in resource-scarce areas. (2) Environmental regulation significantly promotes the development of local renewable energy and has a significant spatial spillover effect on the development of renewable energy in neighboring provinces. (3) The moderating effect results show that renewable energy installed capacity and electricity demand play an inverse moderating role between environmental regulation and renewable energy development. (4) From the perspective of different regions, the impact of environmental regulation on the development of renewable energy is heterogeneous. Based on the research conclusions, this paper finally provides corresponding policy suggestions from three aspects: regional cooperation, technical support, and differentiation.

The effect of environmental regulation and green subsidies on agricultural low-carbon production behavior: A survey of new agricultural management entities in Guangdong Province

Agricultural low-carbon production emerges as a pivotal function for achieving sustainable green development. However, there remains insufficient empirical evidence regarding the effect of environmental regulations and green subsidies upon the low-carbon production behavior of new agricultural entities. In this study, a questionnaire survey was administered to 268 respondents representing new agricultural entities in Guangdong Province, P.R.C. Subsequently, a structural equation model had been employed for validation analysis. This study's findings demonstrate that in general, environmental regulations positively and significantly affect the behavior of agricultural low-carbon production. Conversely, the influence of green subsidies is not statistically significant. In addition, differences are observed across different sectors, with environmental regulations significantly affecting low-carbon production behavior in the plantation sector, but not in the livestock sector. Conversely, green subsidies significantly impact low-carbon production behavior in the livestock sector, but not in the plantation sector. These findings highlight the promotional role of government-enforced environmental regulations and green subsidies in fostering low-carbon agricultural practices. Therefore, new agricultural entities should strive to augment green production technology capacities to realize sustainable green development.

Does tourism development contribute to the green water-use efficiency of the Yellow River Basin in China?

The coordination between economic development as well as water resources conservation in ecologically fragile areas is the basis for achieving sustainable development in developing countries. Nonetheless, the existing literature pays little attention to such an issue. The purpose of this quantitative study is to explore the causal relationship between tourism development and green water-use efficiency in the Yellow River Basin (YRB) of China. The findings are as follows: (1) Tourism development can significantly enhance the green water-use efficiency in the YRB; For every 1% increase in tourism revenue, the green water-use efficiency will increase by 4.38%. (2) Tourism affects the green water-use efficiency by increasing the intensity of water pollution and decreasing the intensity of water use; For every 1% increase in tourism revenue, the green water-use efficiency will decrease by 0.2% and increase by 0.9% respectively by increasing the intensity of water pollution and decreasing the intensity of water use. (3) Strengthening environmental regulation and improving service facilities will further enhance the positive impact of tourism development; An increase of one standard deviation in the intensity of environmental regulation or one standard deviation in the level of service facilities will increase the impact of tourism on green water-use efficiency by 1.1% or 1.7%, respectively. The aforementioned findings provide enlightenment for effectively promoting the coordination between economic development and water resources protection in ecologically fragile areas of developing countries.

Environmental regulation, technology density, and green technology innovation efficiency

From the perspective of the innovation value chain, this study divides the innovation efficiency of green technology into two stages: R&D efficiency and achievement transformation efficiency. Technology density is introduced as a threshold variable to examine the influence of environmental regulation on the efficiency of green technology innovation at both stages. The findings reveal that China's overall green technology innovation efficiency (GTIE) is improving. R&D efficiency initially declined, then increased, while the efficiency of achievement transformation experienced a three-stage pattern: rise-fall-rise. The GTIE distribution across the two stages progressively increases from the northwest to the southeast, resulting in a concentrated, contiguous "line-shaped" and "block-shaped" pattern. High-efficiency areas are primarily found in the eastern coastal regions. Nationally, Environmental regulation and R&D efficiency share an inverted U-shaped relationship, with a double threshold effect of technology density. Environmental regulation does not significantly affect achievement transformation efficiency, but there is a single threshold effect due to technology density.

Does place-based green policy improve air pollution? Evidence from China's National Eco-Industrial Demonstration Park Policy

Air pollution is one of the serious environmental problems facing the world. This paper systematically investigates the impact and transmission mechanism of the construction of national eco-industrial parks (NEDPs) on urban air pollution based on Chinese city-level panel data from 2003 to 2021 using a staggered difference-in-differences (staggered DID) model. It is found that the construction of NEDP significantly reduces urban air pollution, a conclusion supported by the negative weight diagnostic test and two types of robust DID estimators. Mechanism analyses indicate that NEDP construction reduces urban air pollution mainly by improving regional environmental regulation, promoting green technology innovation and improving energy structure. In addition, the mitigation effect of NEDP construction on urban air pollution is heterogeneous by policy intensity, city resource endowment, city size and administrative status. Further tests show that the institutional environment enhances the air pollution mitigation effect of NEDP construction and that the better the degree of marketization, property rights system, legal system and market development in the place where the policy is implemented, the more conducive it is to amplify the air pollution suppression effect brought about by NEDP construction. Developing economies should take complete account of the characteristics of different regions when implementing place-based green policies to achieve synergistic development of the environment and the economy.

Vertical decentralization, environmental regulation, and enterprise pollution: An evolutionary game analysis

Achieving sustainable economic development and mitigating climate change require effective green transformation management. This study builds an evolutionary game model for industrial enterprises, local governments, and the central government, analyzing the dynamic interactions among vertical decentralization, environmental regulation, and enterprise pollution. Our research reveals that increasing environmental taxes can incentivize industrial enterprises to adopt green transformation practices and promote governments at all administrative levels to supervise and enforce environmental regulations. Moreover, in the context of vertical decentralization, financial incentives provided by the central government to local governments become critical drivers for promoting green transformation. Furthermore, the additional social benefits resulting from local government supervision and governance are key factors in green transformation management, while the negative social effects of industrial enterprises not rectifying their actions are noteworthy. Our study emphasizes the need for an integrated framework incorporating these critical elements for successful green transition management. The findings of this research provide valuable insights for developing nations seeking to enhance their governance capacity throughout the green transformation process.

Heterogeneous environmental policies and employment: evidence from China

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.

The impact of green finance and local regulations on industrial green innovation efficiency in China

When the incentive mechanism of green finance fails to fully promote green technology innovation in industrial enterprises, local government environmental regulations become an important tool in correcting this market failure. However, due to the "follow the cost" hypothesis, the moderating effect of the local government environmental regulation is heterogeneous. In order to explore the impact mechanism of green finance development on the efficiency of green technology innovation in industrial enterprises, spatial effects as well as the heterogeneous moderating effect of local government environmental regulation, this paper systematically evaluates the development level of green finance in 30 provinces in China from 2009 to 2019. It estimates the efficiency of green technology innovation in industrial enterprises using the super-efficiency SBM model, and empirically analyzes the impact mechanism and moderating effect using the spatial Durbin model. The results show that: (1) green finance not only positively impacts the efficiency improvement of green technology innovation in industrial enterprises but also has significant spatial spillover effects; (2) local government environmental regulation has a nonlinear "inverted U-shaped" moderating effect between the green finance development and the efficiency of green technology innovation in industrial enterprises. Based on the research conclusions, this paper proposes policy recommendations from the perspectives of deepening the regional connectivity of green finance and promoting joint regulation by local governments.

Revisiting the porter hypothesis within the economy-environment-health framework: Empirical analysis from a multidimensional perspective

The question of whether environmental regulation fosters technological innovation and green development, as a nuanced extension of the Porter hypothesis, constitutes a focal point in contemporary research. Despite this attention, the literature often omits a multifaceted evaluation framework for green development and fails to consider multiaspectual environmental regulation and technological innovation. This study develops a comprehensive model of green total factor productivity (GTFP), situating the Chinese economy within an economy-environment-health nexus. The extended Crépon-Dugeut-Mairesse model is employed to revisit the "strong", "weak", and "narrow" Porter hypotheses. The analysis reveals that formal environmental regulation exerts a crowding-out effect on research and development (R&D), whereas informal environmental regulation exhibits a facilitating effect, corroborating the narrow version of the Porter hypothesis. Both categories of regulation contribute to substantial innovation. Following the incorporation of R&D factors, heterogeneity in the "weak" Porter hypothesis emerges in the Chinese context, contingent upon specific types of environmental regulation and technological innovation. Environmental regulation positively influences GTFP, affirming the "strong" Porter hypothesis, primarily through the vector of technical progress change. A developmental trajectory to enhance GTFP is thus articulated: judicious environmental regulation leads to R&D, which in turn fosters innovation quality, subsequently affecting the technical progress change index and ultimately GTFP. Correspondingly, policy recommendations are delineated across three dimensions: judicious environmental regulation, targeted innovation support, and regional coordination.

Research on the effect of environmental regulation to the green water resource efficiency in China-based on the perspectives of high pressure and low suction

Environmental regulation with spatial spillover effect is an important way to accelerate the transformation and upgrading of modern water resources structure, and then achieve sustainable development of China's water resources. How does environmental regulation affect the GWRE to alleviate or solve China's water shortage? In this paper, the GWRE is measured based on panel data from 31 provinces in China from 2000-2020, and the impact of high pressure (low suction) and heterogeneity on GWRE by environmental regulations is explored. The results revealed that the high pressure of environmental regulation significantly promoted the improvement of GWRE, but the improvement effect of low suction power was not significant. Similar conclusions are drawn under the tests of population size-economic distance and population size-technology distance. The high pressure of market-type and autonomous-type environmental regulation has a significant effect on GWRE, while the improvement effect of command-type environmental regulation is weak. The high pressure of environmental regulation in the eastern, central, western, and northeastern regions has a decreasing effect on GWRE. It is recommended to break the principle of GDP performance appraisal, establish and improve the "green performance" evaluation system, adopt regional differentiated environmental regulation policies, and establish a modern green water resources industrial structure system.

Examination of the relationship between agricultural carbon emission efficiency and food quality and safety: from the perspective of environmental regulation

An important breakthrough in the coordinated development of China's low-carbon goals and food security strategies is agricultural development oriented toward quality, safety, green, and low carbon. This study integrated command-control and market-incentive environmental regulation (ER), agricultural eco-efficiency (ACEE), and food quality and safety (FQS) into a unified theoretical framework. The unexpected output-oriented Super-SBM model was used to calculate the ACEE of China's provinces and cities from 2011 to 2020 and test the bidirectional causality between ACEE and FQS through the system generalized moment estimation model. A dynamic panel smooth transition (PSTR) model was used to explore the nonlinear impact mechanisms of different types of ERs on ACEE and FQS. The results showed that there was a long-term, two-way causal relationship between ACEE and FQS. The impact of environmental regulations on ACEE and FQS has a nonlinear relationship. Among them, the role of market-incentivized ER is more significant. Therefore, building an interregional coordinated development mechanism, improving the utilization rate of agricultural resources such as fertilizers and pesticides, and coordinating the positive effects of different types of ERs are the keys to improving the ACEE and ensuring the coordinated development of FQS.

Digital finance, government intervention, and carbon emission efficiency in China

In accordance with the "dual carbon" objective, China is required to effectively pursue economic expansion and environmental preservation while concurrently enhancing carbon emission efficiency (CEE). This study examines the influence of digital finance on CEE and evaluates the moderating effect of government intervention. The analysis uses panel data collected from 282 cities in China at the prefecture level and above, spanning the period from 2011 to 2021. The findings indicate the following: (1) CEE in China is relatively low, and there are notable regional disparities. Specifically, there is a discernible downward trend in CEE throughout the eastern, central, and western areas. (2) In general, the implementation of digital finance has the potential to enhance the efficiency of carbon emissions. The observed effect is significant in the eastern and central regions but not in the western region. (3) Government subsidies have the potential to amplify digital finance's impact on CEE in the eastern region. Conversely, in the central and western regions, its influence can be increased by environmental regulations. Based on these findings, this study presents recommendations for advancing digital finance, enhancing the targeting and assessment of government subsidies, refining environmental regulations, and encouraging the adoption of green technologies.

Valuing bioeconomic impacts of regulation on nutrient loads mediated by invasive mussels in Lake Michigan

Current calls to correct the perturbed ecosystems and nutrient imbalances of the Laurentian Great Lakes focus on setting target nutrient levels that will be met by environmental and economic regulations to reduce the flow of excess nutrients into the lakes. While these standard types of regulations have been successful in the past, it is unclear whether they will achieve similar ecological and economic successes now amid possible ecosystem regime shifts triggered by invasive mussels. We compute the bioeconomic costs and benefits of hypothetical regulations designed to target nutrient loads in present-day Lake Michigan through agricultural operations, which are known to be nonpoint source polluters of the aquatic ecosystem network. Our results show how reducing nutrient loads may exacerbate spatially disparate ecosystem issues that generate overall economic losses. Conversely, and counterintuitively, allowing for more nutrient loading could generate economic gains over our assessment timeframe. We determine that implementation of standard nutrient target policies are costly and likely inadequate for current dreissenid-affected aquatic ecosystems experiencing nutrient imbalances because they disregard the interactive role of invasive mussels in nutrient cycling.

Does green finance reduce environmental pollution?-a study based on China's provincial panel data

As a bridge between economy and ecology, green finance is vital in improving environmental quality and promoting sustainable development. Based on the building of an environmental pollution index system, this paper constructs the [Formula: see text] model to deeply explore the specific impact of green finance on environmental pollution using China's provincial panel data from 2007 to 2020. This paper constructs an intermediary model to test the impact mechanism of green finance on reducing environmental pollution and discusses the regional heterogeneity of green finance in reducing environmental pollution. The results show that (1) green finance can significantly reduce environmental pollution, among which green credit has a pronounced effect on reducing environmental pollution, green investment has a relatively small effect, and green securities have not significant effect. (2) Green finance has the best inhibitory effect on solid pollution, less inhibitory effect on air pollution, and no significant improvement effect on water pollution. (3) Green technology innovation, industrial structure upgrading, and environmental regulation play an intermediary role in the process of green finance reducing environmental pollution and improving environmental quality. (4) The effect of green finance in the eastern and carbon emission pilot areas is significantly better than in the central and western regions and non-carbon emission pilot areas respectively. According to the research results of this paper, suggestions are put forward to promote the development of green finance, which is of great significance to reducing environmental pollution and achieving sustainable development goals.

Study on the effect of digital economy development on carbon emissions: evidence from 30 provinces in China

Currently, China is moving towards the era of the digital economy, which is gradually becoming a new engine of high-quality development. In the "double carbon" strategy context, the digital economy is characterized by low carbon emissions and high permeability, making it essential for carbon emission reduction. There needs to be more empirical research on the digital economy and carbon emissions. Given this, this study empirically examines the impact of digital economy development on carbon emissions intensity and its mechanisms in a multidimensional way based on the panel data of 30 provincial-level administrative regions in China from 2011 to 2019, utilizing a fixed-effects model, a mediated-effects model, a spatial Durbin model, and other methods. The study results show that (1) the digital economy can significantly reduce carbon emissions intensity. (2) The digital economy can indirectly affect the intensity of carbon emissions through industrial structure, energy structure, and environmental regulation. (3) The development of the local digital economy has a positive spillover effect on the carbon emissions intensity of neighbouring places. However, the overall effect is negative. This paper reveals some new features of the digital economy and carbon emissions intensity, which provides a reference for advancing the country's construction and realizing China's "double carbon" goal.

Green bond financing, environmental regulation, and long-term value orientation: evidence from Chinese-listed companies

In recent years, green bonds have become an important part of the green financial system. In this paper, we investigate theoretically and empirically how green bond financing impacts corporate long-term value orientation. To study this relationship, we manually collect green bond financing data and use Python to construct a measure reflecting corporate long-term value. Using a sample of Chinese A-share bond issuing companies from 2016 to 2021, we find that (1) green bond financing can significantly promote companies to pursue long-term value, in which financing costs, management's strategic risk-taking, and external supervision are the underlying mechanisms. (2) There is a synergistic effect between green bond financing and environmental regulation, which can jointly improve the intensity of corporate long-term value orientation. (3) The relationship between green bond financing and corporate long-term value is more significant in enterprises with heavily polluting, lower risk-taking levels, less strategic change, and lower financial mismatch risk. Our findings reveal the "corrective" effect of green bond financing on management's strategic decision-making, which provides new empirical evidence for comprehensively and accurately evaluating the role of green bonds and promoting the development of the green bond market.

Does environmental regulation caused by air pollution reduce shadow banking for non-financial companies? Based on the exit perspective of implicit government guarantee

As China's economy enters the stage of high-quality development, the sustainability of development becomes increasingly important. Therefore, this study takes air quality index as the explanatory variable, the level of shadow banking as the explained variable, and environmental regulation as the intermediary variable to empirically study whether environmental regulation caused by air pollution will affect the shadow banking of non-financial enterprises. The findings suggest that air pollution is likely to strengthen environmental regulation, thereby reducing the level of shadow banking, as air pollution strengthens environmental regulation, leading to the reduction of implicit government guarantees, while enterprises tend to abandon or minimize reliance on these guarantees and reduce leverage. The mechanism test shows that the ESG performance of non-financial firms weakens the process by which air pollution reduces the degree of shadow banking of non-financial firms, while the short-sightedness of management enhances this process. Heterogeneity analysis shows that this process is more significant under the effect of market-driven environmental regulation and in private enterprises and enterprises in regions with large industrial scale. Therefore, the policy implication is that government should continue to strengthen environmental law enforcement in future supervision, as this can not only reduce pollution levels but also reduce systemic financial risks. Enterprises should also increase their sense of social responsibility.

How does environmental regulation affect carbon productivity? The role of green technology progress and pollution transfer

This empirical study examines the impact of environmental regulations on carbon productivity under varying conditions using panel data from Chinese provinces from 2011 to 2019. Prior research has reported inconsistent results regarding the relationships between these variables. We developed a spatial Durbin model (SDM) and tested the non-linear effects of environmental regulation on carbon productivity from a spatial linkage perspective. The results demonstrate a U-shaped curve representing the local-neighborhood effect of environmental regulations on carbon productivity. This curve is further dissected into two components: the average direct effect (ADE) and the average indirect effect (AIE). Furthermore, the findings indicate that green technology progress and pollution transfer act as moderating factors in shaping the U-shaped curve. Green technological progress has steepened the U-shape curve, whereas pollution transfer has flattened it. Based on these findings, we propose three recommendations for the formulation of environmental regulation policies.

Moderating effect of urban endowment factors on environmental regulations-productivity relationship in Beijing-Tianjin-Hebei region

In this paper, six major cities in the Beijing-Tianjin-Hebei region of China are classified into two groups, namely core city (Beijing) and industrial cities. The objective is to analyze the moderating effect of urban endowments in different urban contexts on the environmental regulation-productivity relationship using an econometric model. The results are: As environmental regulation intensifies, production in Beijing's high-polluting industries rises after falling, showing "innovation compensation" and "inefficient exit" effects. In contrast, the high-polluting industries in the industrial cities exhibit a "compliance cost" effect. In Beijing, four urban endowment factors, including economic development, technological innovation, human capital, and government intervention, can provide supportive conditions for business development under environmental regulatory pressure, primarily by reducing the "compliance cost" effect and enhancing the "innovation compensation" effect. In industrial cities, on the other hand, urban endowment factors have not had a positive moderating effect, and government intervention has even had a negative effect. We argue that government intervention may be the more fundamental urban endowment factor, which may affect the moderating outcomes of other endowment factors. Based on these findings, we propose that governments should make greater use of guiding and incentive-based environmental policy instruments, while reducing administrative interventions. Appropriate policy instruments can activate the positive moderating role of urban endowments and thus provide a better supportive environment for firms' technological innovation.

What government interventions are effective in regulating the use and recycling of high-standard mulch film in China?

The widespread use of ultra-thin mulch films has been considered the root cause of China's difficulties in recycling waste mulch films and their severe residue and pollution. Therefore, environmental regulation to guide farmers to use and recycle high-standard mulch has become a key measure to prevent and control mulch pollution at the source. In this paper, we review environmental regulation measures for mulch pollution and their implementation characteristics in the northwest dry farming restoration region as a case study, and explore their impact on the use and recycling of high-standard mulch. ​The results show that China's environmental regulations on mulch use and recycling can be classified into three types: guidance, incentives, and restrictions. However, the measures implemented so far primarily consist of guidance, while the restrictive and incentive regulations are inadequate. The percentage of farmers using and recycling high-standard mulch under environmental regulations is relatively high (88.18% and 79.83%, respectively), but there is still room for improvement. The study also reveals that while environmental regulations promote the use of high-standard plastic film and its recycling, not all measures are equally effective. Specifically, the implementation of measures such as benefits publicity, price subsidies, technical training, behavior supervision, and punishment mechanisms can be effective in improving farmers' adoption of high-standard plastic mulch; publicizing the hazards of mulch residue, training on recycling techniques, establishing recycling sites, regulating recycling practices, and penalizing violations can effectively help increase the recycling rate of used mulch film. Finally, this study provides a valuable reference for improving regulatory policies for mulch pollution control.

Synergistic effect of energy and industrial structures on carbon emissions in China

Energy structure and industrial structure are two crucial economic factors affecting carbon emissions. However, current research often examines them separately, neglecting the potential additional synergistic effect between them. Leveraging the coupling concept from physics, we objectively quantify these synergistic effect and investigate influencing factors on CO2 intensity from a novel perspective of the synergy by combining a coupling coordination model with econometric model of generalized method of moments (GMM) with a panel dataset from China spanning 2007 to 2019. Our estimates indicate that (1) synergy of energy and industrial structures significantly reduces carbon intensity, which is stable after a series of robust check. (2) the reduced effect of synergy can be enlarged by enhancing environmental regulation and green innovation. (3) the inhibiting effect of synergy is significant, mainly occurs in regions with abundant energy resource endowments. Correspondingly, we recommend several policy implications for China and other developing countries.

The impact of environmental regulation, Environment, Social and Government Performance, and technological innovation on enterprise resilience under a green recovery

In recent years, the world has witnessed an alarming rise in extreme events, posing significant challenges to the survival and growth of enterprises. In response, adopting a green development strategy has emerged as an imperative for businesses to bolster their resilience. It is crucial to recognize that not all enterprises possess the same level of resilience, thereby highlighting the disparities in their ability to withstand adversity. Consequently, scholars have been fervently engaging in discussions and research to identify the most effective paths of green development, enabling enterprises to enhance their resilience and adeptly navigate through crises. This study employs questionnaires to scrutinize the influence of environmental regulation, environment social and government performance, and technological innovation on enterprise resilience by constructing structural equations that encompass both external constraints and internal corporate management. The findings demonstrate that environmental regulations can stimulate technological innovation for the purpose of promoting sustainable development, thereby bolstering enterprise resilience; By incorporating environment social and government principles into their operations, enterprises can instil a culture of environmental consciousness and proactively incentivize innovative solutions, ultimately enhancing their capacity to adapt swiftly and recover from crises; The practice of environmental regulation and the incorporation of environment social and government concepts serve as a catalyst for enterprises to engage in technological innovation, thereby promoting technological advancement and enhancing corporate resilience.

Will regulated firms benefit from carbon emission trading system? Evidence from a Market Power Perspective

The impact of the carbon emission trading system (ETS) on firms' market competitiveness has been a controversial issue with no consistent theoretical conclusions. The aim of this paper is to explore the impact of the carbon emission trading system on firms' markups using the latest robust staggered difference-in-difference estimation method. The results show that China's carbon emission trading system greatly contributes to the enhancement of firms' market power, as evidenced by a series of robustness tests. In addition, the analysis of the impact mechanism shows that the carbon emission trading system enhances the market power of firms through the low-carbon innovation effect and the market integration effect, while the impact of the environmental cost effect is not obvious. Moreover, the heterogeneity analysis shows that the impact of China's carbon trading system policy on firms' market power is more pronounced, especially for those firms that are actively involved in low-carbon transformation and upgrading, have a stronger cost-shifting capacity, and are more efficient in production. This study provides empirical evidence on how environmental regulations affect firms' market power and offers theoretical guidance for the construction of China's carbon market.

The impact of environmental regulation on farmers' income: an empirical examination based on different sources of income

This study uses Chinese rural household data to examine the relationship between environmental regulation and farmers' income. The study found that environmental regulation has the most apparent promotion effect on farmers' agricultural production income. However, the effects on self-employment and non-farm employment are insignificant. In addition, the increase in agricultural green total factor productivity is a channel for environmental regulation to promote agricultural production income. The stronger the farmers' awareness of environmental protection, the more significant the effect of environmental regulation on agricultural production income increase. In China, the effect of environmental regulations on farmers' income from agricultural production is most significant in the central region, followed by the eastern region. In the western region, environmental regulations do not affect agricultural production income. Finally, we discuss the different impacts of industrial and agricultural environmental regulations on farmers' income. Results show that agricultural environmental regulation affects agricultural production income. By contrast, industrial environmental regulations affect farmers' self-employment and non-farm income.

Towards a green mining future: A dynamic evolutionary game model for collaborative waste recycling

In the realm of environmental concerns, the management of mining waste has consistently emerged as a prominent issue. The accumulation of such waste not only results in substantial pollution but also signifies an inefficient use of resources. Rich in heavy metals and an array of toxic substances, mining waste poses a considerable challenge. In China, the situation is exacerbated by mining companies' inadequate and untimely efforts to address the extensive buildup of waste material. The long-term policy of recycling and regulating mining waste can be seen as the result of a long-term game between the government's regulatory decisions and the enterprises' fulfillment of their responsibilities, and the public's ability to participate in monitoring the decisions also changes the pattern of the game. In this study, we develop a tripartite evolutionary game model involving mining enterprises, the public, and local government. System dynamics are used to simulate the dynamic evolution of each stakeholder's strategy, examining the influence of various parameters on the evolution trajectory. Our findings show that: (1) reducing public subsidies, along with increasing enterprise supervision and penalties, effectively encourages public involvement in oversight and promotes proactive waste recycling by enterprises; (2) as enterprises actively engage in recycling efforts, the resulting environmental benefits boost public enthusiasm for participation in monitoring; (3) over time, heightened environmental awareness among the public and advances in recycling technology allow enterprises to improve the profitability of recycling, fostering a sustainable mine waste recycling industry; (4) once a virtuous mine waste recycling industry is established, enterprises autonomously engage in waste recycling, and the public actively participates in supervision, making strict government oversight unnecessary.

Environmental regulation, green technology progress and haze reduction and carbon reduction

Coordinated efforts to reduce haze and carbon emissions are important in promoting global climate governance and sustainable development. In this paper, based on prefecture-level data of China from 2005 to 2019, we investigate the impact of environmental regulatory intensity on the emissions of the concentration of PM2.5 and carbon dioxide (CO2). The research indicates that environmental regulation facilitates synergistic governance for PM2.5 reduction and carbon mitigation. Green technological advancement emerges as the primary mechanism through which environmental regulation achieves haze reduction and carbon mitigation. This conclusion remains robust after a series of robustness tests. Furthermore, the results from quantile regression reveal that the haze reduction and carbon mitigation effects of environmental regulation are subject to certain conditional dependencies. Environmental regulation exhibits a significant negative impact on carbon emissions across various quantile points. However, their influence on different quantile levels of PM2.5 concentration displays an asymmetric pattern. Finally, threshold regression findings suggest that there is no significant threshold effect of environmental regulation on CO2 emissions, but there are dual threshold effects on the PM2.5 concentration. Therefore, it is recommended that local governments judiciously implement environmental regulatory intensity, establish interregional policies for haze reduction and carbon mitigation, and fully harness the driving force of green technology to promote a comprehensive green transformation of economic and social development.

Environmental regulation, renewable electricity, industrialization, economic complexity, technological innovation, and sustainable environment: testing the N-shaped EKC hypothesis for the G-10 economies

This study examines the validity of the environmental Kuznets curve (EKC) hypothesis and the role of environmental regulation, renewable electricity, industrialization, economic complexity, and technological innovation in sustainable environment for the G-10 economies, namely, Belgium, Canada, Germany, Italy, Japan, Netherlands, Sweden, Switzerland, the United Kingdom, and the USA, from 1994 to 2020. We employed CS-ARDL (cross-sectional augmented distributed lag (CS-ARDL), FMOLS (fully modified ordinary least squares), and DOLS (dynamic ordinary least squares) for the analysis of the data. The estimates confirm the N-shaped EKC hypothesis between the GDP and CO2 emission. Moreover, the long-run estimates exhibit that environmental tax, renewable electricity, economic complexity, and technological innovation have negative effect on CO2 emission, while GDP, industrialization and arable land have positive effect on CO2 emission. Based on these findings, we propose that governments must implement large-scale government plans and initiatives to encourage the development of environmentally friendly technologies and ideas based on renewable energy. Moreover, further growing renewable energy, environmental policies like a carbon tax, investments in green technologies, subsidies, and rewards for renewable energy infrastructure investment should be taken into account.

Beyond particulate matter: New evidence on the causal effects of air pollution on mortality

The increasing demand for electricity worldwide has caused a corresponding rise in the consumption of coal, leading to an increase in sulfur dioxide (SO2) pollution levels. Despite the severity of the issue, there is a lack of conclusive evidence establishing a causal link between SO2 pollution and health, particularly in developing countries. We leverage a large national environmental regulation policy, implemented in China to reduce SO2 emissions, to estimate the impacts of SO2 pollution on mortality. We find that 1-μg/m3 reduction in SO2 concentrations leads to 18 fewer cardiovascular deaths per 100,000 people aged 60 years and above (0.9% decrease) and 2 fewer deaths per 100,000 children under the age of 5 (1.5% decrease) annually. A back-of-the-envelope calculation suggests that the total health benefits of the environmental policy outweigh its economic costs. The results are consistent across various robustness checks.

How does environmental information disclosure affect carbon emissions? Evidence from China

In the context of global carbon peak and carbon neutrality, the issue of how to effectively encourage enterprises to reduce their carbon emissions has drawn the attention of governments and scholars. This paper uses the difference-in-differences method and joint data (2003-2012) from Chinese industrial firm pollution database and Chinese industrial firm database to evaluate the impacts of environmental information disclosure on enterprises' carbon emissions. We find that environmental information disclosure has a significant effect on enterprises' carbon emission reduction. Moderating effect analysis finds that environmental regulations and punishment strengthen the role of environmental information disclosure in reducing carbon emissions, however, the moderating role of environmental punishment is limited. In addition, mechanism analysis show that environmental information disclosure can reduce carbon emissions by improving their energy structures and encouraging polluting enterprises to withdraw from the market.

The impact of industrial land mismatch on carbon emissions in resource-based cities under environmental regulatory constraints-evidence from China

Achieving carbon neutrality has become a global common goal. For China, to reach peak carbon emissions and long-term carbon neutrality, the transformation and development of resource-based cities are essential. This study uses data from 114 prefecture-level resource-based cities from 2008 to 2019 as a sample and empirically tests the impact of industrial land mismatch on carbon emissions using the fixed effects model. In addition, we analyze the heterogeneous influence of environmental regulation as a moderating effect on resource-based cities at different development stages. The study reveals that (1) there is a significant positive correlation between the imbalance in industrial land supply in resource-based cities and carbon emissions. The more severe the imbalance, the higher the carbon emissions. The improper supply mode of industrial land is also positively correlated with carbon emissions, although the impact is not significant. (2) Environmental regulation can significantly curb the carbon emission issues caused by the mismatch and imbalance in the scale of industrial land supply and the improper supply mode of industrial land. (3) Compared to strong resource-based cities, weak resource-security cities have a smaller impact on carbon emissions due to an imbalance in the supply of industrial land. This is mainly because resources in weak resource-security cities are becoming exhausted, making "ecology first, green and low carbon" the main tune for economic and social development. Both types of cities show a positive correlation between the improper supply of industrial land and carbon emissions, although neither is significant. (4) The intensity of the regulatory effect of environmental regulations on resource-based cities is influenced by resource abundance. The suppression of carbon emissions by environmental regulations is more apparent in strong resource-security cities than in weak resource-security cities.

Does environmental regulation narrow the north-south economic gap ? - Empirical evidence based on panel data of 285 prefecture-level cities

The economic differentiation between the north and the south of China, as a long-standing phenomenon of unbalanced regional economic development, is aggravating, and has gradually become a resistance to the construction of a new development pattern and regional coordinated development. Most of the existing studies focus on the comparison of differences between the Eastern, Central and Western regions of China, but there is little discussion on the economic gap between China's North-South economy. In addition, through the literature review, no attention has been paid to the environmental regulation factor that leads to the economic gap between the North and the South. In view of this, the study constructs a benchmark regression model and a non-linear regression model based on the balanced panel data of 285 cities in China from 2004 to 2019, explores the role that environmental regulation plays in the widening of China's North-South economy gap. The results show that, firstly, environmental regulation is significantly conducive to narrowing the economic gap between the North and the South; In addition, with the greater intensity of environmental regulation, the economic gap shows a trend of "narrowing first, expanding then", that is, There exists positive U-shaped nonlinear relationship between them. Finally, the heterogeneity of urban scale leads to significant differences in the position and shape of the positive U-shaped curve, which exists between environmental regulation and China's North-South economy gap. The test results shows that the inflection point level of the U-shaped curve in the North is higher than that in the South. Based on this, the study proposes to adjust environmental policies accordingly under regional differentiated conditions, increase financial investment in improving environmental regulation tools and promote coordinated environmental governance in the North and South regions, to promote regional coordinated and sustainable development, provide empirical evidence and theoretical reference to improve people's livelihood and well-being and ultimately achieve the goal of common prosperity.

Digital finance and regional green innovation: the perspective of environmental regulation

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.

Portable gas chromatography-mass spectrometry method for the in-field screening of organic pollutants in soil and water at pollution incidents

Environmental pollution incidents generate an emergency response from regulatory agencies to ensure that the impact on the environment is minimised. Knowing what pollutants are present provides important intelligence to assist in determining how to respond to the incident. However, responders are limited in their in-field capabilities to identify the pollutants present. This research has developed an in-field, qualitative analytical approach to detect and identify organic pollutants that are commonly detected by regulatory environmental laboratories. A rapid, in-field extraction method was used for water and soil matrices. A coiled microextraction (CME) device was utilised for the introduction of the extracted samples into a portable gas chromatography-mass spectrometry (GC-MS) for analysis. The total combined extraction and analysis time was approximately 6.5 min per sample. Results demonstrated that the in-field extraction and analysis methods can screen for fifty-nine target organic contaminants, including polyaromatic hydrocarbons, monoaromatic hydrocarbons, phenols, phthalates, organophosphorus pesticides, and organochlorine pesticides. The method was also capable of tentatively identifying unknown compounds using library searches, significantly expanding the scope of the methods for the provision of intelligence at pollution incidents of an unknown nature, although a laboratory-based method was able to provide more information due to the higher sensitivity achievable. The methods were evaluated using authentic casework samples and were found to be fit-for-purpose for providing rapid in-field intelligence at pollution incidents. The fact that the in-field methods target the same compounds as the laboratory-based methods provides the added benefit that the in-field results can assist in sample triaging upon submission to the laboratory for quantitation and confirmatory analysis.