scholarly journals Threshold Effects of Environmental Regulation on Total Factor Energy Efficiency in China

2015 ◽  
Vol 8 (1) ◽  
pp. 33-37
Author(s):  
Ling Yun Huang ◽  
Hui Qiang Xie
Keyword(s):  
Energy Efficiency ◽  
Environmental Regulation ◽  
Technological Innovation ◽  
Industrial Structure ◽  
Threshold Value ◽  
Threshold Effects ◽  
Threshold Values ◽  
Positive Effects ◽  
Negative Effect ◽  
The Impact

This paper examines the threshold effects of environmental regulation on China’s total factor energy efficiency (TFEE) using technological innovation (as measured by patents) as a threshold variable. Using the Slacksbased measure-undesirable (SBM-undesirable) output model, we first estimate TFEEs in 30 Chinese provinces from 2000 to 2011 under the constraints of energy conservation and emissions reduction. We then analyze the impact of environmental regulation on TFEE based on the panel threshold regression model. The results show that the average TFEE in China from 2000 to 2011 is 0.503, indicating that this measure can be significantly improved. However, environmental regulation has threshold effects on TFEE. Stringent environmental regulation can only improve TFEEs in provinces with technological innovation levels between the first and second threshold values. When technological innovation levels are below the first or above the second threshold value, tighter environmental regulation would lower TFEE. The results suggest that environmental regulation does not always enhance TFEE and that the positive effect of environmental regulation on TFEE must fall within a range of threshold values. In addition, improving the technological innovation level and adjusting the industrial structure have positive effects on TFEE, while the irrational energy consumption structure has a negative effect on TFEE.

scholarly journals Energy Efficiency, Policy and GTFP

2018 ◽  
Vol 53 ◽  
pp. 01033
Author(s):  
Fangqing Yi ◽  
Zenglian Zhang
Keyword(s):  
Economic Growth ◽  
Energy Efficiency ◽  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Industrial Structure ◽  
Provincial Government ◽  
Factor Productivity ◽  
Linkage Mechanism ◽  
The Government ◽  
The Impact

The environmental and resource constraints on economic growth are increasingly evident. China urgently needs to reshape its economic growth momentum. The increase in green total factor productivity is particularly necessary for the growth of the quantity and quality of the economy. This paper selects the provincial panel data of 30 provinces in China from 2001 to 2015, and establishes a panel exchangeable errors model to analyze the impact of eight indicators on green total factor productivity (GTFP) and verifies its effectiveness. Empirical analysis shows that inter-provincial government competition, environmental regulation, energy consumption, and capital stock have a significant impact on green total factor productivity. The influence of foreign direct investment, industrial structure, and industrialization level on the total factor productivity of green is not significant. Therefore, the government should adopt suitable, flexible and diverse environmental regulation policies, promote energy-saving emission reduction and technology innovations through policies such as taxes and subsidies, strengthen the linkage mechanism between industrial structure upgrading and energy efficiency, to increase green total factor productivity.

scholarly journals Double Effects of Environmental Regulation on Carbon Emissions in China: Empirical Research Based on Spatial Econometric Model

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Yuanhua Yang ◽  
Dengli Tang ◽  
Peng Zhang
Keyword(s):  
Energy Consumption ◽  
Environmental Regulation ◽  
Technological Innovation ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Significance Test ◽  
Direct Impact ◽  
Spatial Lag Model ◽  
Lag Model ◽  
The Impact

This paper theoretically analyzes the direct impact of environmental regulation on carbon emissions and its indirect effects on carbon emissions through foreign direct investment (FDI), energy consumption, industrial structure, and technological innovation. Then, this paper constructs a spatial lag model to empirically test the dual effects of environmental regulation on carbon emissions based on the provincial panel data of 2003–2017 in China. The results show that the average Moran’s I value of carbon emissions during 2003–2017 is 0.2506, passing the significance test at 1% level, and carbon emissions have spatial correlation characteristics. The direct impact of environmental regulation on carbon emissions is significant and positive. Environmental regulation could indirectly influence carbon emissions by influencing FDI, energy consumption, and technological innovation, and meanwhile, FDI, energy consumption, and technological innovation help to reduce carbon emissions under the constraint of environmental regulation, specifically. However, the impact of environmental regulation on carbon emissions through industrial structure is not significant.

scholarly journals Analysis of the Upgrading Effect of the Industrial Structure of Environmental Regulation: Evidence From 113 Cities in China

2021 ◽  
Vol 9 ◽  
Author(s):  
Wei Shao ◽  
Yufei Yin ◽  
Xiao Bai ◽  
Farhad Taghizadeh-Hesary
Keyword(s):  
Environmental Regulation ◽  
Technological Innovation ◽  
Industrial Structure ◽  
Threshold Effect ◽  
Sustainable Growth ◽  
Chinese Government ◽  
Eastern Region ◽  
Substantial Impact ◽  
The Impact ◽  
Industrial Structure Upgrading

At present, China’s economy is in a crucial period of economic structural transformation. To alleviate the downward pressure on the economy and explore sustainable growth paths, the Chinese government has issued several environmental regulations. However, the impact of environmental regulation on industrial structure upgrading has not been carefully examined yet. This study utilizes the Pollution Information Transparency Index (PITI) to measure environmental regulation (ER) and examines the impact of ER on industrial structure upgrading (ISU). The sample cities are divided into 36 resource-based cities (RBCs) and 77 non–resource-based cities (NRBCs). The panel data containing 113 cities during 2008–2017 are used in this study. The empirical results show that ER has a significant impact on ISU of RBCs and NRBCs, and robust tests proved the reliability of this result. Analysis of heterogeneity shows ER has a more substantial role in promoting ISU in RBCs and the eastern region. Meanwhile, inside RBCs, ER has a more substantial impact on ISU in growth-RBCs than on that in other RBCs. The mechanism test shows that the mediation effect of technological innovation in RBCs and NRBCs is significant. At last, the impact of ER on ISU has a double-threshold effect in RBCs and a single-threshold effect in NRBCs. With the technological innovation progress, ER produces an increasing effect on ISU of RBCs and NRBCs.

scholarly journals How Does Environmental Regulation Affect the Relationship between FDI and Technological Innovation: From the Perspective of Technology Transactions

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1264
Author(s):  
Meng Zeng ◽  
Lihang Liu ◽  
Fangyi Zhou ◽  
Yigui Xiao
Keyword(s):  
Environmental Regulation ◽  
Technological Innovation ◽  
Pollutant Emissions ◽  
Regulatory Effect ◽  
Host Countries ◽  
Regional Heterogeneity ◽  
Industrial Sectors ◽  
Reduction Effect ◽  
The Impact ◽  
The Relationship

Many studies have found that FDI can reduce the pollutant emissions of host countries. At the same time, the intensity of environmental regulation would affect the emission reduction effect of FDI in the host country. This study aims to reveal the internal mechanisms of this effect. Specifically, this paper studies the impact of FDI on technological innovation in China’s industrial sectors from the perspective of technology transactions from 2001 to 2019, and then analyzes whether the intensity of environmental regulation can promote the relationship. Results indicate that FDI promotes technological innovation through technology transactions. In addition, it finds that the intensity of environmental regulation significantly positively moderates the relationship between FDI and technological innovation, which is achieved by positively moderating the FDI–technology transaction relationship. Regional heterogeneity analysis is further conducted, and results show that in the eastern and western regions of China, FDI can stimulate technological innovation within regional industrial sectors through technology trading. Moreover, environmental regulation has a significant positive regulatory effect on the above relationship, but these effects are not supported by evidence in the central region of China.

scholarly journals An Examination of Green Credit Promoting Carbon Dioxide Emissions Reduction: A Provincial Panel Analysis of China

2021 ◽  
Vol 13 (13) ◽  
pp. 7148
Author(s):  
Wenjie Zhang ◽  
Mingyong Hong ◽  
Juan Li ◽  
Fuhong Li
Keyword(s):  
Carbon Dioxide ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Industrial Structure ◽  
Emissions Reduction ◽  
Green Finance ◽  
Carbon Emissions Reduction ◽  
Negative Effect ◽  
Emissions Intensity ◽  
The Impact

The implementation of green finance is a powerful measure to promote global carbon emissions reduction that has been highly valued by academic circles in recent years. However, the role of green credit in carbon emissions reduction in China is still lacking testing. Using a set of panel data including 30 provinces and cities, this study focused on the impact of green credit on carbon dioxide emissions in China from 2006 to 2016. The empirical results indicated that green credit has a significantly negative effect on carbon dioxide emissions intensity. Furthermore, after the mechanism examination, we found that the promotion impacts of green credit on industrial structure upgrading and technological innovation are two effective channels to help reduce carbon dioxide emissions. Heterogeneity analysis found that there are regional differences in the effect of green credit. In the western and northeastern regions, the effect of green credit is invalid. Quantile regression results implied that the greater the carbon emissions intensity, the better the effect of green credit. Finally, a further discussion revealed there exists a nonlinear correlation between green credit and carbon dioxide emissions intensity. These findings suggest that the core measures to promote carbon emission reduction in China are to continue to expand the scale of green credit, increase the technology R&D investment of enterprises, and to vigorously develop the tertiary industry.

scholarly journals The effects of environmental regulation and technological innovation on green growth: A theoretical analysis

2018 ◽  
Vol 53 ◽  
pp. 04054
Author(s):  
Xuefei Xu ◽  
Lili Wang ◽  
Shang Chen
Keyword(s):  
Environmental Regulation ◽  
Technological Innovation ◽  
Positive Impact ◽  
Causal Chain ◽  
Mediation Model ◽  
Green Growth ◽  
Positive Role ◽  
Long Run ◽  
The Impact ◽  
Causality Chain

As green growth has attracted a great deal of attention due to the growing concern about the degradation of natural resources and environmental pollution in China, the questions of how to achieve it and which factors drive green growth have become hot topics. Environmental regulation and technological innovation are two main fulcrums in the realization of green growth. However, there is lacking a deeper understanding of the impact of environmental regulation and technological innovation on green growth in a methodological framework. Accordingly, this paper attempts to analyze how these factors affect the implementation of green growth in a model. The findings reveal that (1) in the short term, environmental regulation has inhibited green growth, but has a positive impact on green growth in the long run, (2) technological innovation plays a positive role in green growth improvement, and (3) the causality chain among regulation, technological innovation, and green growth is a typical mediation model. Technological innovation plays an important mediation role in the causal chain. This study not only enriches and deepens theories on green growth, but also successfully implements green growth practices and improve their performance.

scholarly journals An empirical analysis of the impact of technological innovation on China’s total employment

2021 ◽  
Vol 235 ◽  
pp. 02042
Author(s):  
Peihua Li
Keyword(s):  
Growth Rate ◽  
Technological Innovation ◽  
Industrial Structure ◽  
Impulse Response Function ◽  
Destructive Effect ◽  
Total Employment ◽  
Promotion Effect ◽  
Leading Role ◽  
Long Run ◽  
The Impact

Technological innovation represented by artificial intelligence and 5G networks has developed rapidly, since the reform and opening up, especially in recent years. Technological innovation promotes the upgrading of industrial structure, promotes the increase of employment in emerging industries, at the same time, eliminate the workers in backward industries, which will have an impact on overall employment. Therefore, this paper studies the impact of technological innovation on the total employment of China from an empirical perspective. Total Factor Productivity (TFP) and TFP growth rate calculated by the Solow residual method are used as indicators of the level of technological innovation, and the long-term cointegration regression model and short-term impulse response function are established with the number of employees and employment growth rate as the dependent variables, respectively. The study found that, the impact of technological innovation on employment levels has a stable promotion effect in the long run; in the short run, there is a destructive effect at first, but as time goes by, this destructive mechanism gradually occupies the peak, and the creative mechanism begins to take effect. The leading role, technological innovation has a steady promotion effect on employment.

scholarly journals Has “the Belt and Road initiative” Improved the Pollution Level?

2021 ◽  
Vol 275 ◽  
pp. 02023
Author(s):  
Jing Zheng
Keyword(s):  
Panel Data ◽  
Technological Innovation ◽  
Foreign Investment ◽  
Industrial Structure ◽  
Pollution Level ◽  
Belt And Road Initiative ◽  
Waste Gas ◽  
Belt And Road ◽  
The Impact ◽  
The Belt And Road

Based on the panel data of 278 prefecture-level cities in China from 2008 to 2018, this paper adopts DID method to verify the impact of “the Belt and Road initiative” on pollution level of these cities, the results are still robust through the placebo test and PSM-DID, the mechanism is also analyzed. The study found that “the Belt and Road initiative” has a significant effect on the emission of wastewater, waste gas and dust of cities in China; the mechanism test shows that “the Belt and Road initiative” has significantly reduced urban environmental pollution by promoting foreign investment, upgrading industrial structure and technological innovation.

The Effect of Technological Innovation and Market Size on Manufacturing Structure: Evidence from the World’s Largest Tobacco Producer and Seller

2021 ◽  
Vol 7 (5) ◽  
pp. 2422-2444
Author(s):  
Song Teng ◽  
Liu Yuxin
Keyword(s):  
Technological Innovation ◽  
Manufacturing Industry ◽  
Tobacco Industry ◽  
Industrial Structure ◽  
Rapid Development ◽  
Market Size ◽  
Chinese Government ◽  
Explanatory Variables ◽  
Industrial Sectors ◽  
The Impact

Objectives: As the world’s largest tobacco producer and seller, China’s rapid development of the tobacco industry is inextricably linked to the promotion and support of the manufacturing industry. The optimization and adjustment of the manufacturing structure (MS) is critical in determining the competitiveness of the manufacturing industry. This study examines the impact of technological innovation and market size on MS optimization in China using provincial data from 2001 to 2016. We obtain the following main results. First, market size and technological innovation are important drivers in optimizing MS. Technological innovation increases productivity and results in the redistribution of production factors across industrial sectors, altering the industrial structure. The market size facilitates labor division, which boosts productivity. Second, institutional innovation is critical for optimizing MS. It strengthens the impact of technological innovation and market size on MS rationalization. Furthermore, the study’s findings are robust to a variety of estimation techniques, several alternative proxies for core explanatory variables, and a long list of control variables. An important implication of the study’s findings is that the Chinese government should implement effective institutional reforms to accelerate China’s manufacturing industry’s development. China’s tobacco industry, in particular, will achieve higher quality development based on the transformation and upgrading of the overall manufacturing industry.

scholarly journals Innovation or Introduction? The Impact of Technological Progress Sources on Industrial Green Transformation of Resource-Based Cities in China

2020 ◽  
Vol 8 ◽  
Author(s):  
Wancheng Xie ◽  
Taihua Yan ◽  
Senmao Xia ◽  
Fengzhang Chen
Keyword(s):  
Technological Innovation ◽  
Industrial Development ◽  
Generalized Method Of Moments ◽  
Estimation Method ◽  
Investment Strategy ◽  
Interactive Effects ◽  
Innovation And Technology ◽  
Technology Introduction ◽  
Negative Effect ◽  
The Impact

With the increasingly prominent problems of global resource consumption and environmental pollution, industrial green transformation has become one of the requirements of China’s industrial development in the new era. However, there is a lack of research on the impact of technological innovation and technology introduction on the industrial green transformation of resource-based cities. To bridge this gap, this study uses the panel data of 115 resource-based cities in China from 2003 to 2016, and uses the dynamic panel generalized method of moments (GMM) estimation method to study the impact of technological innovation and technology introduction on industrial green transformation of resource-based cities. The results show that technology introduction has a negative effect on the industrial green transformation of resource-based cities, while technological innovation can have a positive effect. Meanwhile, technology introduction has imparted a greater role to technological innovation in promoting this transformation. In addition, the interactive effects between technological innovation and technology introduction have obvious heterogeneity on the industrial green transformation of different types of resource-based cities. Therefore, resource-based cities should continue to increase investment in scientific research, to constantly improve and consolidate their technological innovation ability, optimize foreign investment strategy in technology introduction, and strengthen the digestion and absorption of imported technology, while increasing technological innovation and personnel training.

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