Improvement of Different Types of Environmental Regulations on Total Factor Productivity: A Threshold Effect Analysis

Based on the distinction of different types of environmental regulations, this paper attempts to test the threshold effect of environmental regulation on the total factor productivity (TFP) by employing a panel threshold model and a province-level panel data set during 2006–2016. Research results show that the influence of command-and-control and market incentive environmental regulation on the total factor productivity has a single threshold conversion characteristic of foreign direct investment (FDI) and financial scale, but the impact behavior and influence degree around the threshold are inconsistent. The effect of voluntary conscious environmental regulation on the total factor productivity has a single threshold conversion feature of human capital, and moderately enhanced intensity of environmental regulation is conducive to promoting the total factor productivity after crossing the threshold. Finally, in order to enhance the regional total factor productivity, relevant policy recommendations are proposed.

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Research on Green Total Factor Productivity of Logistics Industry and its threshold effect of Environmental Regulation

E3S Web of Conferences ◽

10.1051/e3sconf/202123502022 ◽

2021 ◽

Vol 235 ◽

pp. 02022

Author(s):

Wanchun Li

Keyword(s):

Environmental Regulation ◽

Total Factor Productivity ◽

Threshold Model ◽

Intermediate Stage ◽

Threshold Effect ◽

Inhibitory Effect ◽

Regulation System ◽

Factor Productivity ◽

Logistics Industry ◽

The Government

This paper is based on the input-output panel data of logistics industry in 30 provinces and regions in China from 2005 to 2017, using nonparametric DEA model to evaluate the green total factor productivity of logistics industry, and build a panel threshold model to empirically test the nonlinear impact of environmental egulation. It is found that environmental regulation has a double threshold effect on green total factor productivity of logistics industry, the estimated threshold values are 89.85 and 211.27 respectively; when environmental regulation is at a low level below 89.85, environmental regulation has a positive effect of 2.09% on green total factor productivity of logistics industry, when environmental regulation is in the intermediate stage of 89.85 to 211.27, environmental regulation has a positive improvement effect of 6.41% on green total factor productivity of logistics industry; when environmental regulation is at a higher level than 211.27, environmental regulation has a negative inhibitory effect of 1.57% on green total factor productivity of logistics industry. Based on the empirical conclusion, this paper puts forward: First, using the performance assessment as the baton to urge the local government to establish an effective environmental regulation system; second, the government should plan to guide the green transformation and upgrading of the logistics industry to avoid “one size fits all” environmental regulation.

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Research on the Impact of Green Technology Innovation on Energy Total Factor Productivity, Based on Provincial Data of China

Frontiers in Environmental Science ◽

10.3389/fenvs.2021.710931 ◽

2021 ◽

Vol 9 ◽

Author(s):

Mengxin Wang ◽

Yanling Li ◽

Gaoke Liao

Keyword(s):

Total Factor Productivity ◽

Industrial Structure ◽

Technology Innovation ◽

Threshold Model ◽

Threshold Effect ◽

Green Technology ◽

Mediating Effect ◽

Factor Productivity ◽

Influence Mechanism ◽

The Impact

Against the background of carbon peaking and carbon neutralization, green technology innovation plays an important role in promoting the energy total factor productivity (TFP). This study verifies the impact of green technology innovation on energy TFP in a complete sample and the subsamples by region, by constructing a panel threshold model, and analyzes its influence mechanism on the basis of the mediating effect test based on annual provincial data of mainland China from 2005 to 2018. The empirical results reveal the following: first, with the level of economic development as the threshold variable, there is a threshold effect in the impact of green technology innovation on the energy TFP; second, green technology innovation has an impact on the energy TFP through industrial structure upgrading; that is, industrial structure has a mediating effect in the influence mechanism; and third, there is heterogeneity in the impact of green technology innovation on the energy TFP among different regions in China, and the threshold effect only exists in the western region, since the central and eastern regions have crossed a certain developmental stage.

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Can a Win–Win Situation of Economy and Environment Be Achieved in Cities by the Government’s Environmental Regulations?

Sustainability ◽

10.3390/su13115829 ◽

2021 ◽

Vol 13 (11) ◽

pp. 5829

Author(s):

Xinfei Li ◽

Baodong Cheng ◽

Qiling Hong ◽

Chang Xu

Keyword(s):

Environmental Regulation ◽

Total Factor Productivity ◽

Environmental Quality ◽

Negative Impact ◽

Environmental Regulations ◽

Removal Rate ◽

Utilization Rate ◽

Factor Productivity ◽

Regulatory Policies ◽

The Impact

Based on the panel data of 216 prefecture-level cities in China from 2003 to 2016, this study selected five emission-reduction indicators (industrial SO2 removal rate, soot removal rate, comprehensive utilization rate of industrial solid waste, domestic sewage treatment rate, and harmless treatment of domestic waste rate) to quantify the intensity of urban environmental regulations. Based on the intensity of environmental regulations, the authors further studied the impact of environmental regulations on economic quality (green total factor productivity) and environmental quality (PM2.5). The test results showed that the impact of environmental regulation on PM2.5 is a U-type change that first declines and then rises, while the impact of the implementation of environmental regulation on green total factor productivity is an inverted U-shaped change, which first increases and then decreases. On the one hand, appropriate environmental regulations are conducive to improving environmental quality and improving urban green total factor productivity. On the other hand, excessive environmental regulations have not only failed to improve environmental quality, but also have a negative impact on the improvement of economic quality. In addition, there are regional differences in the impact of environmental regulations, so it is necessary to formulate appropriate and local environmental regulatory policies.

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Research on Threshold Effect of Environmental Regulation and Green Total Factor Productivity

E3S Web of Conferences ◽

10.1051/e3sconf/201911803002 ◽

2019 ◽

Vol 118 ◽

pp. 03002

Author(s):

guangyuan Cao ◽

zhiyuan Dong ◽

zenglian Zhang

Keyword(s):

Economic Development ◽

Environmental Regulation ◽

Total Factor Productivity ◽

Local Governments ◽

Threshold Effect ◽

Factor Productivity ◽

Positive Role ◽

Effect Model ◽

The Impact ◽

Double Threshold

This paper selects the panel data of 30 provinces in China from 2005 to 2016, and uses the threshold effect model to analyze the correlation between environmental regulation and green total factor productivity (GTFP). The results show that: The impact of environmental regulation on GTFP is non-linear and has a double threshold effect. Therefore, the local governments of all provinces should continue to play a positive role in environmental regulation, reasonably adjust the level of environmental regulation according to local specific economic development and industrialization level, etc., and strive to promote the transformation of medium and high polluting enterprises to green environmental protection enterprises..

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Assessing the impact of knowledge management on total factor productivity

African Journal of Economic and Management Studies ◽

10.1108/ajems-05-2019-0188 ◽

2019 ◽

Vol 11 (1) ◽

pp. 134-146 ◽

Cited By ~ 1

Author(s):

Mina Sami ◽

Randa El Bedawy

Keyword(s):

Knowledge Management ◽

Total Factor Productivity ◽

Current Literature ◽

Organizational Level ◽

Factor Productivity ◽

Data Set ◽

Content Type ◽

Financial Indicator ◽

Percent Increase ◽

The Impact

Purpose The purpose of this paper is to examine the impact of knowledge management (KM) on the total factor productivity (TFP) at the organizational level in Egypt. Design/methodology/approach Using the novel available EC 2013 data set, which includes approximately 60,000 private organizations in Egypt, the paper explores the relationship between KM and TFP. For the purpose of dealing with endogeneity, the two-stage least squares econometric model has been implemented. Findings The study reveals that KM impacts positively the TFP of the Egyptian organizations. Conspicuously, each 10 percent increase in KM is associated with 9.3 percent increase in TFP. Originality/value The role of KM in the organizations has been under-researched globally, especially in Africa. This study contributes to the current literature by assessing the impact of KM on TFP, which represents the most comprehensive measure of the firm productivity; by implementing a novel instrumental variable in order to deal with endogeneity between KM and TFP; and by generating a more nuanced measure for the knowledge intensity that is not based on any financial indicator as in the most of the previous studies. Original findings can be highlighted from the paper as it demonstrates that the impact of KM is more important than proposed by the current literature. Conspicuously, the KM does not merely impact the customer satisfaction, the quality improvement and the profit margin, but it also impacts the TFP of the organizations.

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Environmental Regulation, Trade Comparative Advantage, and the Manufacturing Industry’s Green Transformation and Upgrading

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17082823 ◽

2020 ◽

Vol 17 (8) ◽

pp. 2823 ◽

Cited By ~ 1

Author(s):

Mengqi Gong ◽

Zhe You ◽

Linting Wang ◽

Jinhua Cheng

Keyword(s):

Environmental Regulation ◽

Total Factor Productivity ◽

Comparative Advantage ◽

Manufacturing Industry ◽

Environmental Regulations ◽

Manufacturing Industries ◽

Productivity Index ◽

Chinese Government ◽

Factor Productivity ◽

Trade Patterns

This paper is the first to systematically review the theoretical mechanisms of environmental regulation and trade comparative advantage that affect the green transformation and upgrading of the manufacturing industry. On this basis, corresponding hypotheses are put forward. The non-radial and non-angle SBM (slacks-based measure) efficiency measurement model with undesirable outputs was used, combined with the use of the ML (green total factor productivity index) productivity index to measure green total factor productivity. Finally, the theoretical hypothesis was empirically tested using data from 27 manufacturing industries in China from 2005 to 2017. The results show the following: (1) There is a significant inverted U-shaped curve relationship between environmental regulation and the transformation of the manufacturing industry. In other words, as environmental regulation increases, its impact on the transformation and upgrading of the manufacturing industry is first promoted and then suppressed. (2) When there are no environmental regulations, the trade comparative advantage of the manufacturing industry is not conducive to industrial transformation. However, under the constraints of environmental regulations, the comparative advantage of trade will significantly promote the green transformation and upgrading of manufacturing. Therefore, in order to effectively promote transformation and upgrading of the manufacturing, this paper proposes the following policy recommendations: (1) The Chinese government should pay more attention to the impact of environmental regulation intensity on the transformation of manufacturing industries, further increase the intensity of environmental regulation within the reasonable range, and fully exert the positive effects of environmental regulation on the trade patterns and manufacturing industry transformation. (2) We should further optimize the structure of trade, realize the diversification of manufacturing import and export, and promote its transformation into high-end manufacturing. On this basis, green production technology in the manufacturing industry can be improved through the technology spillover effect. (3) Efforts should be made to improve the level of collaborative development between environmental regulation and trade patterns and to explore the transformation path of the manufacturing industry with the integration of environmental regulation and trade patterns.

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

10.20944/preprints202106.0711.v1 ◽

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.

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

Journal of Mathematics ◽

10.1155/2021/6677334 ◽

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.

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Research on the Nonlinear Impact of Environmental Regulation on the Efficiency of China’s Regional Green Economy: Insights from the PSTR Model

Discrete Dynamics in Nature and Society ◽

10.1155/2021/5914334 ◽

2021 ◽

Vol 2021 ◽

pp. 1-13

Author(s):

Shuangliang Yao ◽

Xiang Su

Keyword(s):

Environmental Pollution ◽

Environmental Regulation ◽

Economic Efficiency ◽

Environmental Regulations ◽

Threshold Model ◽

Resource Depletion ◽

Green Economy ◽

Eastern Region ◽

Regional Production ◽

The Impact

This paper uses the super-efficiency SBM model to measure the green economic efficiency considering undesired output and analyzes the spatial distribution difference of green economic efficiency; secondly, the nonlinear panel threshold model is used to empirically study the nonlinear relationship between environmental regulations and green economic efficiency, and further analyzed the threshold effect of environmental regulations on the efficiency of green economy and concluded as follows. (1) The green economy efficiency index in the eastern region is mostly more significant than 1, and the green economy efficiency in most provinces in the eastern region has improved. These provinces have higher regional production levels and less environmental pollution. The green economy efficiency of the central region is second only to the eastern region. The green economy efficiency of provinces in the western region except Chongqing is less than 1, indicating that these provinces have insufficient regional production, severe environmental pollution, or extensive resource depletion. (2) The impact of environmental regulations on the efficiency of the green economy presents an inverted “U” shape, with a threshold of 0.5128 for environmental regulations. The impact of the industrial structure on the efficiency of the green economy changes from inhibition to promotion after crossing the threshold of the intensity of environmental regulation, and the degree of opening to the outside world has a complementary effect on the efficiency of the green economy. The impact of urbanization on the efficiency of the green economy changes from promotion to suppression after surpassing the threshold of the intensity of environmental regulations.

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Modeling the Impact of Innovation on Economic Quality and Environmental Pollution Change under Consideration of Environmental Regulation

Discrete Dynamics in Nature and Society ◽

10.1155/2021/3800678 ◽

2021 ◽

Vol 2021 ◽

pp. 1-13

Author(s):

Xinfei Li ◽

Yuan Tian ◽

Yueming Li ◽

Chang Xu ◽

Xiaobing Liu ◽

...

Keyword(s):

Sustainable Development ◽

Environmental Pollution ◽

Total Factor Productivity ◽

Environmental Regulations ◽

Pollutant Emissions ◽

Factor Productivity ◽

So2 Emissions ◽

The Impact ◽

China’S Economy

Under the constraints of resources and the environment, exploring the channels to improve the quality of China’s economy is very important for China’s current sustainable development. Therefore, this paper studies whether innovation can improve the quality of China’s economy and explore the path of sustainable development from the perspective of the city. Based on the Malmquist–Luenberger index and DEA-Malmquist index, this paper, respectively, measures the green total factor productivity (GTFP) and total factor productivity (TFP) of 193 cities in China. On the basis of obtaining the GTFP, TFP, and various pollutant emissions of 193 cities, this paper selects environmental regulations as the threshold variable and the number of urban patents as the explanatory variable to measure the level of urban innovation. On this basis, we examine the impact of innovation quality on economic quality and environmental pollution under different environmental regulatory intensities. The research results show that the impact of innovation on GTFP and TFP under different environmental regulations is always positive, but the impact coefficient and significance level vary. In addition, the impact of innovation on SO2 emissions under different environmental regulations has also changed. With the increase of environmental regulations, the effect of reducing emissions is gradually significant. The conclusion of this paper better interprets the development of TFP and GTFP under the innovation-driven strategy, provides a decision-making basis for departments at all levels to formulate innovation support policies, and explores the path of sustainable development.

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