scholarly journals Can China’s Environmental Regulations Effectively Reduce Pollution Emissions?

2021 ◽  
Vol 18 (9) ◽  
pp. 4658
Author(s):  
Xi Chen ◽  
Zhigang Chen
Keyword(s):  
Economic Growth ◽  
Environmental Regulation ◽  
Emission Reduction ◽  
Technological Progress ◽  
Environmental Regulations ◽  
Substitution Effect ◽  
Advanced Technology ◽  
Smooth Transition ◽  
Pollution Emissions ◽  
The Impact

Based on the provincial panel data of China during 2006–2017, this study uses the panel smooth transition (PSTR) model to study the dynamic transformation mechanism of pollution emission under environmental regulation. We focus on technological progress, economic growth, and foreign direct investment (FDI) as threshold variables, and analyses the non-linear effects of environmental regulation on pollution emissions under those threshold variables, attempting to explore the effectiveness of existing environmental regulations. The structure of biased technological progress is based on the slacks-based measure (SBM) and Global-Malmquist–Luenberger index, which is divided into pollution-biased technology progress and clean-biased technology progress. Finally, we use the panel vector auto regressive (PVAR) algorithm to further verify the relationship. The findings are as follows: (1) Environmental regulation has a significant nonlinear effect on pollution emissions, and technological progress is the optimal threshold variable of this study. (2) Under the influence of these three factors, environmental regulation has a substitution effect on pollution discharge, and a stronger substitution effect on emission reduction in areas with advanced technology and high FDI. It also has a lower emission reduction effect in the high-system areas of economic development than in the low-system areas. (3) The PVAR results show that the impact on environmental regulation of technological progress and FDI has gradually turned from positive to negative; the impact of economic growth on environmental regulation has always been positive but is gradually decreasing. This study points out the direction for governments and companies to implement effective environmental regulations.

scholarly journals Research on the Impact of Environmental Regulation and Technology Innovation on the Quality of Economic Growth

2021 ◽  
Author(s):  
Qingyang Wu
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Environmental Regulation ◽  
Technological Innovation ◽  
Environmental Regulations ◽  
Threshold Model ◽  
Fixed Effect Model ◽  
Paper Test ◽  
The Impact

Abstract：This paper uses the balanced panel data from 29 provinces (autonomous regions and municipalities) in China for a total of 17 years from 2000 to 2016 as a research sample, and establishes an empirical model to examine the impact of environmental regulations and technological innovation on the quality of economic growth. Then this paper test technological innovation as a threshold variable, in which play a regulatory role. Taking the provincial balanced panel data as a research sample, a fixed effect model, a system GMM model, and a panel threshold model were established for empirical testing and the robustness test. Based on the empirical results, this article draws the following conclusions: from a national perspective, environmental regulations and technological innovation can significantly promote the quality of economic growth; from a regional perspective, there are regional differences in impact effects. Under the constraints of environmental regulations, the promotion effect of technological innovation on the quality of economic growth will be reduced; the impact of environmental regulation on the quality of economic growth will have a "threshold effect", and environmental regulation can significantly promote the quality of economic growth only after crossing the threshold and the threshold of technological innovation.

scholarly journals Impacts of Cultural Diversity on Carbon Emission Effects: From the Perspective of Environmental Regulations

2020 ◽  
Vol 17 (17) ◽  
pp. 6109
Author(s):  
Ying-jie Song ◽  
Fu-wei Ma ◽  
Jing-ya Qu
Keyword(s):  
Cultural Diversity ◽  
Environmental Regulation ◽  
Cultural Difference ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Negative Impact ◽  
Environmental Regulations ◽  
Energy Regulation ◽  
Carbon Emission Reduction ◽  
The Impact

Cultural diversity is an issue not considered too often in traditional research on the influencing factors of carbon emission reduction to give full play to the effective participation of micro subjects in environmental regulation and to achieve the carbon emission reduction target. Aiming at the cultural diversity of micro subjects, this paper introduces the provincial dynamic index of cultural diversity and, from the perspective of environmental regulation, combines environmental regulation types such as energy regulation, economic regulation, and administrative regulation, to empirically study the impact of cultural difference on carbon emission reduction. We found that cultural diversity had a significant negative impact on carbon emission effects, and there is a one-way Granger causality between the two. Cultural diversity and environmental regulations exerted a synergistic impact on carbon emission effects. Through specific mechanism tests, the intermediary effect of environmental regulations was confirmed. Cultural diversity influenced carbon emission effects through the mediation of environmental regulations. From the perspective of the refined characteristics of different regions, possible cultural diversity in the southern region and regional energy consumption characteristics significantly affected carbon emission effects. On the basis of the conclusions reached in this empirical research, we put forward the following policy suggestions: emphasis should be placed on the function of culture and other non-institutional factors in the practice of environmental regulations; bottom-up environmental protection incentives must be strengthened, and required expression channels should be perfected; the role of various environmental regulations must be given full play in the process of carbon emission reduction.

Impacts of Environmental Regulation on Sustainable Economic Growth

2018 ◽  
Vol 9 (9) ◽  
pp. 749-773
Author(s):  
Jonathan Fisher
Keyword(s):  
Economic Growth ◽  
Environmental Regulation ◽  
Technical Change ◽  
Best Practice ◽  
Environmental Regulations ◽  
The European Union ◽  
Porter Hypothesis ◽  
The United Kingdom ◽  
Environment Agency ◽  
Sustainable Economic Growth

There is considerable concern and debate about the economic impacts of environmental regulations. Jonathan Fisher, former Economics Manager at the Environment Agency in England and Wales, reviews the available evidence on this subject. Section 2 presents estimates of the costs and benefits of environmental regulations. Section 3 examines the impacts of environmental regulations on economic growth, innovation and technical change as well as impacts on competitiveness and any movement of businesses to less pollution havens. He questions call for greater certainty regarding future environmental regulations, whereas in fact there should be calls for less uncertainty. This section then suggests how this could be achieved. This section then finishes with an overview of the available evidence. This includes an examination of the Porter Hypothesis that environmental regulations can trigger greater innovation that may partially or more than fully offset the compliance costs. Section 4 then sets out principles for how better environmental regulation can improve its impacts on sustainable economic growth and illustrates how the European Union (EU) Water Framework Directive is a good example of the application of these principles in practice. Section 5 reviews current and recent political perspectives regarding developments in environmental regulations across the EU and shows how the United Kingdom (UK) has successfully positively managed to influence such developments so that EU environmental regulations now incorporate many of these principles to improve their impacts on economic growth. Section 5.1 then examines the implications of Brexit for UK environmental regulations. Finally, Section 6 sets out some best practice principles to improve the impacts of environmental regulation on sustainable economic growth, innovation and technical change.

scholarly journals Environmental Performance and Economic Growth in Middle East and North Africa Countries

2019 ◽  
Vol 9 (24) ◽  
Author(s):  
Hichem Dkhili
Keyword(s):  
Economic Growth ◽  
Middle East ◽  
North Africa ◽  
Environmental Performance ◽  
Middle Eastern ◽  
Smooth Transition ◽  
African Countries ◽  
Mena Region ◽  
Mena Countries ◽  
The Impact

Background. Studies on environmental performance/quality and economic growth show inconclusive results. Objective. The aim of the present study is to assess the non-linear relationship between environmental performance and economic growth in the Middle East and North Africa (MENA) region from 2002–2018. Methods. A sample of fourteen (14) MENA countries was used in the present analysis. However, due to important differences between countries in this region, the whole sample was divided into two sub-samples; nine Middle Eastern countries (MEAS) and five North African countries (NAF). We performed the panel smooth transition regression model as an econometric approach. Discussion. Empirical results indicate a threshold effect in the environmental performance and economic growth relationship. The threshold value differs from one group of countries to another. More specifically, we found that the impact of environmental performance and economic growth is positive and significant only if a certain threshold level has been attained. Until then, the effect remains negative. Conclusions. The findings of the present study are of great importance for policymakers since they determine the optimal level of environmental performance required to act positively on the level of economic growth. MENA countries should seek to improve their environmental performance index in order to grow output. Competing Interests. The authors declare no competing financial interests.

The Impact of the Transformation of Age Structure on Economic Growth

2016 ◽  
Vol 04 (04) ◽  
pp. 1650031 ◽  
Author(s):  
Wen ZHAO ◽  
Xuyang ZHU
Keyword(s):  
Economic Growth ◽  
Age Structure ◽  
Capital Accumulation ◽  
Technological Progress ◽  
Participation Rate ◽  
Market Mechanisms ◽  
Economic Growth Rate ◽  
Intergenerational Redistribution ◽  
Labor Remuneration ◽  
The Impact

The impact of the transformation of the age structure of the population on economic growth is governed by a strict law. In 12 economies under the authors’ observation, the contribution from the rejuvenation of the population to economic growth is basically 6% — the Chinese Mainland makes a contribution of 6.3%. The rejuvenation of the population has stimulated economic growth, but its contribution is very small compared with the contributions from capital accumulation and technological progress. According to international experience, in the case of addressing the transformation of the age structure of the population, relying on intergenerational redistribution will exert a great negative economic impact, while reducing the intensity of that redistribution and relying on market mechanisms to adjust the level of labor remuneration can increase the employment rate and the labor participation rate, thus raising the economic growth rate to the greatest extent.

scholarly journals The Effects of Environmental Regulation on the Singapore Stock Market

2019 ◽  
Vol 12 (4) ◽  
pp. 175
Author(s):  
Pham ◽  
Nguyen ◽  
Ramiah ◽  
Mudalige ◽  
Moosa
Keyword(s):  
Stock Market ◽  
Environmental Regulation ◽  
Alternative Energy ◽  
Carbon Tax ◽  
Environmental Regulations ◽  
Five Factor Model ◽  
Abnormal Returns ◽  
Electricity Sector ◽  
The Impact ◽  
Non Parametric

This study examines the impact of environmental regulation on the Singapore stock market using the event study methodology. Several asset pricing models are used to estimate sectoral abnormal returns. Additionally, we estimate the change in systematic risk after the introduction of the carbon tax and related regulation. We conduct various robustness tests, including the Corrado non-parametric ranking test, the Chesney non-parametric conditional distribution approach, a representation of market integration, and Fama–French five-factor model. We find evidence showing that the environmental regulations tend to achieve their desired effects in Singapore in which several big polluters (including industrial metals and mining, forestry and papers, and electrical equipment and services) were negatively affected by the announcements of environmental regulations and carbon tax. In addition, our results indicate that the electricity sector, one of the biggest polluters, was negatively affected by the announcement of environmental regulations and carbon tax. We also find that environmental regulations seem to boost the performance of environmentally-friendly sectors whereby we find the alternative energy industry (focusing on new renewable energy technologies) experienced a sizeable positive reaction following the announcements of these regulations.

scholarly journals Threshold Effect in the Relationship between Environmental Regulations and Haze Pollution: Empirical Evidence from PSTR Estimation

2021 ◽  
Vol 18 (23) ◽  
pp. 12423
Author(s):  
Yonglian Chang ◽  
Yingjun Huang ◽  
Manman Li ◽  
Zhengmin Duan
Keyword(s):  
Environmental Governance ◽  
Environmental Regulations ◽  
Regional Distribution ◽  
Electricity Consumption ◽  
Threshold Effect ◽  
Smooth Transition ◽  
Threshold Effects ◽  
Regulatory Policies ◽  
Haze Pollution ◽  
The Impact

The impact of environmental regulations (ER) on haze pollution control has been continuously debated in the field of sustainable development. This paper explores the direct and indirect threshold effects of ER on haze pollution, and five underlying mechanisms—technological innovation (TI), industrial structure (IS), foreign direct investment (FDI), urbanization (UR), and electricity consumption (EC)—are adopted to investigate the indirect threshold effects. Panel data, over the period 2008–2018, of 284 Chinese cities were used and the threshold effects were predicted endogenously based on the panel smooth transition regression (PSTR) model. The results showed the following: (1) For the direct threshold effect, there exists a U-shaped relationship between ER and haze pollution. ER significantly reduced haze pollution when ER < 38.86 due to “cost effects”. However, ER increased haze pollution after the threshold owing to the “green paradox”, which was not significant. (2) For the indirect threshold effect, when TI = 0.37, IS = 39.61, FDI = 7.25, and UR = 42.86, the relationships between ER and haze pollution changed. The changes and corresponding reasons for the indirect threshold effects are discussed in detail. (3) After a comprehensive analysis, the threshold effects have obvious regional distribution characteristics and internal connections. Finally, based on the results, it is essential for governments to enact appropriate environmental regulatory policies and enhance inter-regional synergies in environmental governance.

scholarly journals How Do Different Types of Environmental Regulations Affect Green Innovation Efficiency?

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Hui Li ◽  
Chuandang Zhao ◽  
Xiaoying Tang ◽  
Jiawei Cheng ◽  
Guanyang Lu ◽  
...  
Keyword(s):  
Environmental Regulation ◽  
Environmental Regulations ◽  
Evolutionary Relationship ◽  
Command And Control ◽  
Shaanxi Province ◽  
Green Innovation ◽  
Growth Trend ◽  
Different Types ◽  
And Control ◽  
The Impact

Environmental regulation policies are being continuously enriched today. To effectively improve green innovation efficiency through environmental regulations, it is urgent to better understand the impact of different environmental regulations on green innovation efficiency (GIE). However, due to the defects of previous methods for measuring GIE, existing studies may have deviations when analysing the effect of environmental regulations on GIE. To fill this gap, using Shaanxi, China, as a case study, the present study proposes a network data envelopment analysis (DEA) model based on neutral cross-efficiency evaluation to accurately measure the GIE of Shaanxi during the period of 2001–2017. On this basis, this study further analysed the impact of different types of environmental regulations on GIE from three aspects: causality, evolutionary relationships, and effect paths. The results indicate that (1) the GIE of Shaanxi Province showed a “fluctuation-slow growth-steady growth” trend during 2001–2017, and after 2014, the problem of an uncoordinated relationship between technology research and design (R&D) and technology transformation began to appear; (2) there was a linear evolutionary relationship between command-and-control environmental regulation and GIE and a “U”-shaped evolutionary relationship between market-based/voluntary environmental regulation and GIE; and (3) command-and-control environmental regulation and voluntary environmental regulation affected GIE mainly at the technology R&D stage, while market-based environmental regulation ran through the entire process of green innovation activities. This study improves the evaluation methods and theoretical systems of GIE and provides the scientific basis for government decision-makers to formulate environmental regulation policies.

scholarly journals Environmental regulations, capacity utilization, and high-quality development of manufacturing: an analysis based on Chinese provincial panel data

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hongyang Wang ◽  
Baizhou Li
Keyword(s):  
Environmental Regulation ◽  
Manufacturing Industry ◽  
Negative Impact ◽  
Environmental Regulations ◽  
Rapid Development ◽  
Capacity Utilization ◽  
Utilization Rate ◽  
Quality Development ◽  
High Quality ◽  
The Impact

AbstractThe high-quality development of the manufacturing industry is an important strategic task for Chinese economic development. The rapid development of the manufacturing industry is also accompanied by problems such as overcapacity and environmental pollution. This paper analyzes the impact of capacity utilization on the high-quality development of manufacturing and establishes a nonlinear threshold regression model on this basis, and studies and analyzes environmental regulations as a threshold variable under the influence of capacity utilization rate on the high-quality development of the manufacturing industry. The research results show that: capacity utilization, profitability, foreign direct investment, and government participation all have a significant positive impact on the high-quality development of the manufacturing industry; environmental regulations have a significant negative impact on the high-quality development of the manufacturing industry. And in the model of the effect of capacity utilization on the high-quality development of the manufacturing industry, environmental regulation has a single threshold effect. With the increase in the intensity of environmental regulation, the coefficient and significance of the effect of capacity utilization on the high-quality development of the manufacturing industry have changed. Finally, this article puts forward corresponding policies and suggestions based on the results of data analysis.

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