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.

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 Environmental Regulation, Technological Innovation and Industrial Environmental Efficiency : An Empirical Study Based on Chinese Cement Industry

2021 ◽  
Author(s):  
Hongxing Tu ◽  
Songtao Xu ◽  
Xu Xiao
Keyword(s):  
Environmental Regulation ◽  
Technological Innovation ◽  
Environmental Efficiency ◽  
Cement Industry ◽  
Industrial Agglomeration ◽  
Substantial Impact ◽  
The Sustainable Development ◽  
Saving Effect ◽  
The Impact ◽  
Positive Effect

Abstract Using DEA-Tobit model, the paper empirically analyzes the impact of environmental regulation and technological innovation on industrial environmental efficiency with the data from Chinese Cement Industry. The results show that both environmental regulation and technological innovation all have a significant role in promoting the environmental efficiency of cement industry. Among all the influencing factors, the improvement of pollution disposal capacity has the biggest positive effect on environmental efficiency, while the energy-saving effect caused by environmental regulation is not obvious, the factor endowment structure has no substantial impact on environmental efficiency. Adhering to the strategy of "reducing emissions mainly and saving energy as auxiliary", continuously optimizing the energy consumption structure, raising the level of industrialization and industrial agglomeration are conducive to the sustainable development of China’s cement industry.

scholarly journals Research on the spatial effect and threshold effect of industrial structure upgrading on carbon emissions in China

2021 ◽  
Author(s):  
Zhenqiang Li ◽  
Qiuyang Zhou
Keyword(s):  
Energy Consumption ◽  
Population Size ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Threshold Effect ◽  
Local Areas ◽  
The Impact ◽  
Consumption Intensity ◽  
Industrial Structure Upgrading

Abstract Based on panel data from 2000 to 2017 in 29 Chinese provinces, this paper analyzes the impact of industrial structure upgrading on carbon emissions by constructing a spatial panel model and a panel threshold model. The results show that (1) there is a significant spatial correlation between carbon emissions in Chinese provinces, and the carbon emissions of a province are affected by the carbon emissions of surrounding provinces; (2) in China, carbon emissions have a significant time lag feature, and current carbon emissions are largely affected by previous carbon emissions; (3) industrial structure upgrading can effectively promote carbon emission reductions in local areas, and the impact of industrial structure upgrading on carbon emissions has a significant threshold effect. With continued economic development, the promotion effect of industrial structure upgrading on carbon emission reductions will decrease slightly, but this carbon emission reduction effect is still significant. (4) In addition, there is a clear difference between the impact of energy consumption intensity and population size on carbon emissions in short and long terms. In the short term, the increase in energy consumption intensity and the expansion of population size not only increase the carbon emissions of a local area but also increase the carbon emissions of neighboring areas. In the long term, the impact of energy consumption intensity and population size on carbon emissions of neighboring areas will be weakened, but the promotion impact on carbon emissions in local areas will be strengthened.

scholarly journals How Does Industrial Structure Upgrading Affect the Global Greenhouse Effect? Evidence From RCEP and Non-RCEP Countries

2021 ◽  
Vol 9 ◽  
Author(s):  
Jiajia Dong ◽  
Yue Dou ◽  
Qingzhe Jiang ◽  
Jun Zhao
Keyword(s):  
Technological Innovation ◽  
Greenhouse Effect ◽  
Industrial Structure ◽  
Random Effect ◽  
Policy Implications ◽  
Kuznets Curve ◽  
Economic Partnership ◽  
Regional Comprehensive Economic Partnership ◽  
The Impact ◽  
Industrial Structure Upgrading

This study empirically investigates the impact of industrial structure upgrading on global carbon dioxide (CO2) emissions by employing a balanced dataset of 73 countries over the period 1990–2019. After conducting a series of empirical tests, we used the fixed effect (FE) and random effect (RE) methods to estimate the econometric model, and divided the full sample data into two subsamples, i.e., Regional Comprehensive Economic Partnership (RCEP) countries and non-RCEP countries, for heterogeneous analysis. This study also examines the mediating role of technological innovation in the relationship between industrial structure upgrading and global CO2 emissions. The main findings indicate that: (1) both industrial structure upgrading and technological innovation show significant negative impacts on CO2 emissions in the global panel, the RCEP countries, and the non-RCEP countries; (2) industrial structure upgrading not only affects CO2 emissions directly, but also has an indirect impact on global CO2 emissions by promoting technological innovation; and (3) the environmental Kuznets curve (EKC) hypothesis is verified in this study; in other words, both economic growth and CO2 emissions exhibit a significant inverted U-shaped relationship in the global panel, the RCEP countries, and the non-RCEP countries. Finally, we highlighted some important policy implications with respect to promoting industrial structure upgrading and mitigating the greenhouse effect.

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 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.

AN EMPIRICAL STUDY ON THE IMPACT OF CHINA’S OFDI ON THE INDUSTRIAL STRUCTURE UPGRADING OF COUNTRIES ALONG THE BELT AND ROAD AND THE THRESHOLD EFFECT OF INFRASTRUCTURE LEVELS

2021 ◽  
pp. 1-41
Author(s):  
HUI WANG ◽  
XIN ZHONG
Keyword(s):  
Industrial Structure ◽  
Threshold Effect ◽  
Belt And Road Initiative ◽  
Promoting Effect ◽  
Promotion Effect ◽  
Central Eastern Europe ◽  
Belt And Road ◽  
The Impact ◽  
The Belt And Road ◽  
Industrial Structure Upgrading

This paper empirically investigates the impact of China’s OFDI on the industrial structure upgrading of countries along the Belt and Road (B&R) and examines the threshold effect of the infrastructure levels on that impact based on the panel data of 52 B&R countries from 2006 to 2017. The results show that China’s OFDI can significantly promote the industrial structure upgrading of B&R countries and that the Belt and Road initiative implementation can help to strengthen the promoting effects of China’s OFDI in the comprehensive FGLS, the Diff-GMM and the System GMM estimation. Moreover, China’s technology transfer OFDI has the greatest promotion effect, followed by capital transfer OFDI; labor transfer OFDI has the least promotion effect. China’s OFDI plays a larger role in promoting the industrial structure upgrading of Central Asia and South Asia countries, followed by ASEAN and CIS countries and it plays a smaller role in West Asia and Central-Eastern Europe countries. There is a threshold effect of the B&R countries’ infrastructure level. When the transportation infrastructure, energy infrastructure, communication infrastructure and overall infrastructure levels exceed the corresponding thresholds, the promoting effect of China’s OFDI will be further enhanced in the comprehensive FGLS estimation. Our study proposes that under the Belt and Road initiative, to improve the infrastructure level of the B&R countries, and to increase the effectiveness of China’s OFDI in promoting the industrial structure upgrading of the B&R countries, China should further strengthen international cooperation, expand outward investment, and strengthen the infrastructure connectivity construction with B&R countries.

scholarly journals Impacts of Foreign Direct Investment and Industrial Structure Transformation on Haze Pollution across China

2021 ◽  
Vol 13 (10) ◽  
pp. 5439
Author(s):  
Chenggang Li ◽  
Tao Lin ◽  
Zhenci Xu ◽  
Yuzhu Chen
Keyword(s):  
Foreign Direct Investment ◽  
Environmental Pollution ◽  
Direct Investment ◽  
Industrial Structure ◽  
Spatial Data Analysis ◽  
Annual Data ◽  
Eastern Region ◽  
Structure Transformation ◽  
Haze Pollution ◽  
The Impact

With the development of economic globalization, some local environmental pollution has become a global environmental problem through international trade and transnational investment. This paper selects the annual data of 30 provinces in China from 2000 to 2017 and adopts exploratory spatial data analysis methods to explore the spatial agglomeration characteristics of haze pollution in China’s provinces. Furthermore, this paper constructs a spatial econometric model to test the impact of foreign direct investment (FDI) and industrial structure transformation on haze pollution. The research results show that the high-high concentration area of haze pollution in China has shifted from the central and western regions to the eastern region and from inland regions to coastal regions. When FDI increases by 1%, haze pollution in local and neighboring areas will be reduced by 0.066% and 0.3538%, respectively. However, the impact of FDI on haze pollution is heterogeneous in different stages of economic development. FDI can improve the rationalization level of industrial structure, and then inhibit the haze pollution. However, FDI inhibits the upgrading level of industrial structure to a certain extent, and then aggravates the haze pollution. The research in this paper provides an important decision-making basis for coordinating the relationship between FDI and environmental pollution and realizing green development.

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