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

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.

Relationships between fluctuations of environmental regulation, technological innovation, and economic growth: a multinational perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zaiyang Xie ◽  
Liang Qu ◽  
Runhui Lin ◽  
Qiutong Guo
Keyword(s):  
Economic Growth ◽  
Environmental Regulation ◽  
Technological Innovation ◽  
Negative Impact ◽  
Oecd Country ◽  
Mediating Effect ◽  
Content Type ◽  
Innovation Activities ◽  
Continuous State ◽  
The Impact

PurposeEnvironmental regulation is in a continuous state of intense change and modification amid the long-term tensions between environmental protection and economic growth. In this article, the authors creatively investigate how fluctuations of environmental regulation influence a nation's economic growth while also examining the mediating effect of technological innovation.Design/methodology/approachUsing sample data of 36 Organisation for Economic Co-operation and Development (OECD) countries from 2013 to 2018, environmental regulation is differentiated in two aspects of formal environmental regulation (FER) and informal environmental regulation (IER) and analyzed to assess the effects of regulatory fluctuations on investment and technological innovation.FindingsThe research results demonstrate that both FER fluctuation and IER fluctuation exert a significant negative impact on economic growth. These two fluctuations in environmental regulation increase uncertainty and unpredictable risks for corporations and investors, significantly stifling the willingness to contribute to innovation activities and leading to a diminished level of innovation. Technological innovation is revealed to have a mediating influence on the relationship of environmental regulation fluctuation to economic growth.Originality/valueThese findings enrich the research on the impact of environmental regulation from a dynamic, multinational perspective, contributing to the literature by exploring the relationships between environmental regulation fluctuation, technological innovation and economic growth at the OECD-country level.

scholarly journals How Does Technological Innovation Mediate the Relationship between Environmental Regulation and High-Quality Economic Development? Empirical Evidence from China

2021 ◽  
Vol 13 (4) ◽  
pp. 2231
Author(s):  
Die Li ◽  
Sumin Hu
Keyword(s):  
Economic Development ◽  
Environmental Regulation ◽  
Technological Innovation ◽  
Mediating Effect ◽  
Mediation Effect ◽  
High Tech ◽  
High Quality ◽  
Measure Model ◽  
The Impact

Technological innovation is considered to be an effective way to promote the quality of economic development and green transition under environmental policies, while the specific mechanism of this process is still unclear. Thus, the purpose of this paper was to examine how technological innovation mediates the relation between environmental regulation and high-quality economic development. Based on the panel data of 34 industries in China from 2007 to 2015, this paper firstly calculated the green total factor productivity (GTFP) as a proxy variable for the quality of economic development through the super-slack-based measure model, and then analyzed the impact of environmental regulation and technical innovation on the GTFP by making use of the mediation effect model. The results showed that environmental-related policy directly affected the GTFP while technological innovation indirectly moderated this process, where the moderate impact of technological innovation was industrial heterogeneous. Specifically, the relation between environmental regulation and GTFP was positively and partially moderated by technological innovation in clean industries and high-tech industries, while positively but completely moderated by technological innovation in low-and medium-tech industries. Moreover, the mediating effect of technological innovation in pollution-intensive industries was positive but insignificant.

scholarly journals Analisis Pengaruh Pertumbuhan Ekonomi (PDRB), Rata-Rata Lama Sekolah Dan Pengangguran Dalam Disparitas Anggaran Pendidikan Di Indonesia Tahun 2015-2019

2021 ◽  
Vol 11 (2) ◽  
pp. 187
Author(s):  
Luthfiah Azizah
Keyword(s):  
Economic Growth ◽  
Human Resources ◽  
Quantitative Method ◽  
Average Length ◽  
Fixed Effect Model ◽  
Average Increase ◽  
Effect Model ◽  
The Impact ◽  
Creativity And Innovation

In the field of education every human being will experience a process. The presses are made to improve science, ability, creativity and innovation. In addition, education is able to increase economic growth, with the education sector able to increase the quality of human resources on the other hand indirectly, the old school's average increase in the quality of human resources and labor productivity so that it can reduce unemployment. The study aims to find out the impact of economic growth, the average length of school and unemployment on Indonesia's provincial education budget 2015-2019. This kind of research uses a quantitative method with the fixed effect model. The results of variable economic growth has significant impact on the education budget with a probability of 0,0019 or less than 0,05, for the average variable old school has significant impact on the education budget with a probability of 0.0022 and unemployment variable have a staggering 0.0000 or less than 0,05, and a variables of economic growth, the average long school and unemployment have a significant impact on the education budget with a probability of 0.000009 or less than a 0.05.

scholarly journals Research on the Impact of Environmental Regulations on the Carbon Emissions of Heavy Pollution Industries

2021 ◽  
Vol 236 ◽  
pp. 03008
Author(s):  
Mei Shang ◽  
Degui Chen
Keyword(s):  
Panel Data ◽  
Technological Innovation ◽  
Carbon Emissions ◽  
Environmental Regulations ◽  
Energy Structure ◽  
Current Period ◽  
Lag Effect ◽  
Negative Effect ◽  
Heavy Pollution ◽  
The Impact

Based on the panel data of 18 heavy polluting industries from 34 industrial industries in my country as samples, empirical analysis of the impact of environmental regulations, energy structure, enterprise scale, corporate competitiveness, and technological innovation on carbon emissions of heavy polluting industries. And by constructing a dynamic GMM model to analyze the lag effect of environmental regulations on carbon emissions. The results show that: environmental regulations have a significant negative effect on carbon emissions, and the previous environmental regulations have a restraining effect on carbon emissions in the current period; energy structure will increase carbon emissions; technological innovation, enterprise scale, corporate competitiveness, etc. affect carbon emissions Has a negatively significant effect.

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

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Xubin Lei ◽  
Shusheng Wu
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Environmental Regulations ◽  
Threshold Model ◽  
Threshold Effect ◽  
Impact Behavior ◽  
Factor Productivity ◽  
Data Set ◽  
Different Types ◽  
The Impact

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.

scholarly journals How Does Environmental Regulations Effect Pattern of Carbon Emission and Energy Efficiency: A Provincial Level Analysis of Chinese Energy-Intensive Industries?

2021 ◽  
Author(s):  
Thanh Quang Ngo
Keyword(s):  
Energy Efficiency ◽  
Panel Data ◽  
Environmental Regulation ◽  
Carbon Dioxide Emissions ◽  
Environmental Regulations ◽  
Dynamic Panel Data ◽  
Green Energy ◽  
Economic Implications ◽  
The Impact ◽  
Energy Intensive Industries

Abstract Energy has a huge environmental and economic implications in the modern community. Despite the rapid economic growth of China in the past two decades, it can further improve through sustainable green energy with more energy-efficient industries, so as to maintain a good balance between economic and social development. The performances of energy and carbon dioxide emissions are the critical indicators. On this basis, this work measures the impact of environmental regulations on energy efficiency based on 2008-17 panel data from 30 provinces in China. The total factor energy efficiency index (TFEEI) is calculated by the non-radial distance function (NDDF). In order to study the nonlinear relationship between environmental regulations and TFEEI, the dynamic threshold panel model is used under different environmental regulations, which can solve effectively endogenous problems and regional heterogeneity. The results show that, for energy-intensive industries, the overall average TFEEI level is still very low, with average values of 0.55 and 0.58, which are well below the ideal value (i.e., 1). Further, the dynamic panel data model findings showed a U-shaped significant relationship between China's TFEEI and environmental regulation. The findings reveal that environmental regulation effect on TFEI rises steadily as the values of Market-Based Environmental Regulations (MERs) and Command and control Environmental Regulations (CCERs) and surpass the corresponding thresholds. This research can help policymakers understand the effectiveness of various levels of environmental legislation to make more informed decisions.

scholarly journals Environmental regulation, Industrial structure upgrading and Economic growth in Beijing Tianjin Hebei region

2021 ◽  
Vol 235 ◽  
pp. 02021
Author(s):  
Menglu Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Environmental Regulation ◽  
Industrial Structure ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
The Relationship ◽  
Industrial Structure Upgrading

This paper selects the panel data of 13 cities in Beijing Tianjin Hebei region from 2008 to 2016, and uses the fixed effect model to study the relationship between environmental regulation, industrial structure upgrading and economic growth in Beijing Tianjin Hebei region. The results show that: strengthening environmental regulation can promote the upgrading of industrial structure in Beijing Tianjin Hebei region by reducing the emission of pollutants; the upgrading of industrial structure is conducive to promoting the economic development of Beijing Tianjin Hebei region.

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.

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