The effects of environmental regulation on China's total factor productivity: An empirical study of carbon-intensive industries

Zhao, Xiaomeng; Liu, Chuanjiang; Yang, Mian

doi:10.1016/j.jclepro.2018.01.100

Cited by 161 publications

(86 citation statements)

References 27 publications

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“…The reason for this situation may be linked to the resource endowment, industrial characteristics, and competitiveness of heavily polluting sectors. This finding is consistent with Zhao, Liu, and Yang (). They point out that under different industrial structure and economic development conditions, the impact of ER on technological innovation and GPP will differ.…”

Section: Empirical Results and Analysessupporting

confidence: 93%

Does environmental regulation policy help improve green production performance? Evidence from China's industry

Wang

Zhang

2019

Corp Soc Responsibility Env

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Environmental regulation (ER) policy is an effective means to improve green production performance (GPP), but how ER policy will affect China's GPP remains to be studied. Therefore, with the panel data of 38 industrial sectors in China during 2004–2015, we employ the continuous difference in difference method and system generalised method of moment method to estimate the impact of ER policy on GPP in the heavily polluting sectors of China. The empirical results show that first, the implementation of ER policy does not significantly improve GPP of heavily polluting sectors during the sample period. Among them, the external technological progress and export learning effect are important factors that hinder their GPP. Second, ER has no lag effect on GPP of 38 industrial sectors, and the increase in research and development investment does not significantly improve GPP. Finally, foreign direct investment has promoted GPP in China's industrial sectors to some extent.

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Section: Empirical Results and Analysessupporting

confidence: 93%

Does environmental regulation policy help improve green production performance? Evidence from China's industry

Wang

Zhang

2019

Corp Soc Responsibility Env

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“…When CO 2 emissions reach a peak, pollution-intensive IS companies will bear high environmental costs as the intensity of environmental regulation increases. Therefore, the survival threshold of high-energy consumption and high-pollution enterprises is improved, and CO 2 emissions are reduced [16,29]. In addition, the impact of control variables on CO 2 emissions in the IS industry is basically in line with expectations.…”

Section: Analysis Of Benchmark Resultsmentioning

confidence: 73%

“…Third, the multi-indicator method. These are many methods, such as pollutant emission density [14], total industrial output value divided by SO 2 emissions [15], expenditure of industrial waste gas treatment facilities divided by SO 2 emissions [16], the proportion of investment in pollution projects in the total industrial output value [17], the proportion of industrial pollution control and control expenditures in sales [16] and comprehensive index of environmental regulations constructed from industrial SO 2 emissions, industrial smoke and dust emissions, and industrial wastewater discharge removal rates [18]. Fourth, the classification research method.…”

Section: Definition Of Environmental Regulationsmentioning

confidence: 99%

An Inverted-U Impact of Environmental Regulations on Carbon Emissions in China’s Iron and Steel Industry: Mechanisms of Synergy and Innovation Effects

Fan

Zhou

2020

Sustainability

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Based on a panel data of China’s iron and steel (IS) industry from 2000 to 2014, this paper explores the impact of environmental regulations on CO2 emissions in the industry. The results show that there is a clear inverted-U relationship between environmental regulations and CO2 emissions in the IS industry. Additionally, there are regional heterogeneity and regulatory intensity on the impact of environmental regulations on CO2 emissions. The results in the eastern region are consistent with the whole sample results, while the upward trend in the central region and the downward trend in the western region together lay the basis for the inverted-U shape of the whole sample. High environmental regulations affect CO2 emissions in an inverted-U shape, while low environmental regulations present a U shape. The mechanisms of environmental regulations affecting CO2 emissions are synergy effect and technological innovation effect. Finally, this paper proposes some policy recommendations according to the above findings.

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“…As for expected output, since the total industrial output value is no longer published after 2012, this paper follows Zhao et al [39] and selects the industrial sales value that is close to the industrial output value to obtain the expected output and converts it at a constant price in 1990. As for unexpected output, considering that China's industrial pollution control costs only include wastewater treatment costs and waste gas treatment costs, this paper selects chemical oxygen demand, ammonia nitrogen, SO 2 , and smoke (powder) dust emissions as unanticipated outputs.…”

Section: Green Total Factor Productivitymentioning

confidence: 99%

Environmental Regulation Intensity, Foreign Direct Investment, and Green Technology Spillover—An Empirical Study

Wang

Huang

et al. 2019

Sustainability

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Many researchers have studied the relationships among heterogeneous foreign direct investment (FDI), environmental regulation, and green total factor productivity. However, no research has been done on how different types of FDI can result in green technology spillover under different levels of environmental regulation intensity. To address this research gap, in this paper, we build a static linear panel model, a static panel threshold model, and a dynamic panel threshold model to investigate the environmental regulatory threshold effect of labor-based FDI and capital-based FDI in terms of their green technology spillover. Based on the measurement of green total factor productivity (GTFP) of 36 industry sectors in China from 2003 to 2015, we first compare the threshold effects of environmental regulation on green technology spillover between labor-based FDI and capital-based FDI with a static linear model and a static threshold model. The results show that environmental regulation is unable to significantly promote the green technology spillover of labor-based FDI. However, intensifying environmental regulation can reduce the negative impact of labor-based FDI on GTFP. The effect of environmental regulation on green technology spillover of capital-based FDI is more complex. In the static linear model, environmental regulation can significantly promote the green technology spillover of capital-based FDI. In the static threshold model, the green technology spillover of capital-based FDI exists only when the environmental regulation intensity is sufficiently low or sufficiently high. Finally, the dynamic threshold model is adopted for robustness check. The results show when the environmental regulation intensity is higher than a threshold, both types of FDI can indeed result in green technology spillover. In short, our results prove that to ensure that FDI results in green technology spillover, it is necessary to continue to strengthen environmental regulation.

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The effects of environmental regulation on China's total factor productivity: An empirical study of carbon-intensive industries

Cited by 161 publications

References 27 publications

Does environmental regulation policy help improve green production performance? Evidence from China's industry

Does environmental regulation policy help improve green production performance? Evidence from China's industry

An Inverted-U Impact of Environmental Regulations on Carbon Emissions in China’s Iron and Steel Industry: Mechanisms of Synergy and Innovation Effects

Environmental Regulation Intensity, Foreign Direct Investment, and Green Technology Spillover—An Empirical Study

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