The interaction effects of environmental regulation and technological innovation on regional green growth performance

2017 ◽  
Vol 162 ◽  
pp. 894-902 ◽  
Author(s):  
Ling ling Guo ◽  
Ying Qu ◽  
Ming-Lang Tseng
Keyword(s):  
Growth Performance ◽  
Environmental Regulation ◽  
Technological Innovation ◽  
Interaction Effects ◽  
Green Growth

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 The Spatial Spillover Effects of Environmental Regulation on China’s Industrial Green Growth Performance

Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 267 ◽  
Author(s):  
Xiping Wang ◽  
Moyang Li
Keyword(s):  
Growth Performance ◽  
Environmental Regulation ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Green Growth ◽  
Frontier Analysis ◽  
Spatial Spillover ◽  
Spatial Spillover Effects

This study investigated the spatial spillover effects of environmental regulation (ER) on industrial green growth performance (IGGP) in China. Firstly, a parametric stochastic frontier analysis (SFA) was estimated to measure IGGP using the data of China’s 30 provincial industry sectors during 2000–2014. Then, considering the space–time characteristics in IGGP, the spatial spillover effects of three types of ER, namely, administrative environmental regulation (AER), market-based environmental regulation (MER), and voluntary environmental regulation (VER), on IGGP was examined by employing spatial Durbin model (SDM). The main findings are: (1) the IGGP is low but shows a trend of continuous improvement and there is a significant disparity and spatial autocorrelations amongst regions; (2) the spillover effects of the three types of ER are different, specifically, the spillover effects of AER are significant negative, while the effects of MER and VER are both significant positive. The difference between the latter two is that the positive spillover effect of MER on IGGP is so large to outperform the negative direct effect, while the effect of VER is very minor. Based on these findings, relevant policy suggestions are presented to balance industrial economic and environmental protection in order to promote IGGP.

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.

Game Analysis of Environmental Regulation Performance of FDI Competition under Green Economy Perspective

2014 ◽  
Vol 1073-1076 ◽  
pp. 2669-2674
Author(s):  
Wu Bin Sun ◽  
Zhou Yu Wang
Keyword(s):  
Environmental Regulation ◽  
Technological Innovation ◽  
Economic Performance ◽  
Target Function ◽  
Green Economy ◽  
Matrix Game ◽  
Game Analysis ◽  
Mobility Factor ◽  
Revenue Function ◽  
Environment Regulation

Based on the perspective of green economy and FDI competition, this article establishes revenue matrix game, resolves game revenue function between stakeholders, by defining the performance of environmental regulation stakeholders variable. The results show that in the light of heavy economic performance as the target function, the local government has to relax the environment regulation as the means to fight the mobility factor motivation . In addition, the local government’s environmental regulation will actively promote enterprise technological innovation to improve the performance of environmental regulation.

scholarly journals Has the High-Tech Industry along the Belt and Road in China Achieved Green Growth with Technological Innovation Efficiency and Environmental Sustainability?

2019 ◽  
Vol 16 (17) ◽  
pp. 3117 ◽  
Author(s):  
Chang Li ◽  
Mingyang Li ◽  
Lu Zhang ◽  
Tingyi Li ◽  
Hanzhen Ouyang ◽  
...  
Keyword(s):  
Environmental Pollution ◽  
Technological Innovation ◽  
Environmental Sustainability ◽  
Negative Impact ◽  
High Tech ◽  
Green Growth ◽  
Tobit Regression ◽  
High Tech Industry ◽  
Belt And Road ◽  
The Belt And Road

From the perspective of green growth, which seeks to coordinate and make sustainable the development of resources, the environment, and the economy, this study’s aim was to find out whether the high-tech industry along the Belt and Road (B&R) is sustainable and effective in using resources, reducing environmental pollution, and increasing performance. This study used panel data covering 16 provinces (municipalities) along the B&R in China between 2009 and 2016. This study used the directional distance function (DDF) and the global Malmquist–Luenberger (GML) index model to analyze the technological innovation efficiency (TIE) of the high-tech industry (HTI) while considering the undesirable output (environmental pollution). Further, supplemented by ArcGIS geographical analysis, this study carried out a comparative analysis of the TIE and its decomposition in the HTI along the B&R from geographical and time-series dimensions. Moreover, the panel Tobit regression model was used to analyze the influencing factors of TIE. The results show that the direct financial support of the government has no impact on the improvement of TIE in the HTI, the government’s regulation of environmental pollution can significantly affect the improvement of the TIE, the intensity of R&D has a significantly negative impact on the TIE, a higher level of R&D personnel in the HTI can be helpful in improving TIE, and increasing the import and export trade volumes of the HTI can promote TIE.

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