scholarly journals Does Innovation Efficiency Suppress the Ecological Footprint? Empirical Evidence from 280 Chinese Cities

2020 ◽  
Vol 17 (18) ◽  
pp. 6826 ◽  
Author(s):  
Haiqian Ke ◽  
Wenyi Yang ◽  
Xiaoyang Liu ◽  
Fei Fan
Keyword(s):  
Economic Development ◽  
Ecological Footprint ◽  
Industrial Structure ◽  
Threshold Value ◽  
Threshold Effect ◽  
Mediating Effect ◽  
Energy Structure ◽  
Central Regions ◽  
Development Levels ◽  
Threshold Regression Model

Innovation is an important motivating force for regional sustainable development. This study measures the innovation efficiency of 280 cities in China from 2014–2018 using the super-efficiency slack-based measure and it also analyzes its impact on the ecological footprint using the generalized spatial two-stage least squares (GS2SLS) method and uses the threshold regression model to explore the threshold effect of innovation efficiency on the ecological footprint at different economic development levels. We find the corresponding transmission mechanism by using a mediating effect model. The major findings are as follows. First, we find an inverse U-shaped relationship between innovation efficiency and the ecological footprint for cities across China as well as in the eastern and central regions. That is, innovation efficiency promotes then suppresses the ecological footprint. Conversely, in western and northeastern China, improvements in innovation efficiency still raise the ecological footprint. Second, for the entire country, as economic development increases from below one threshold value (4.4928) to above another (4.8245), the elasticity coefficient of innovation efficiency to the ecological footprint changes from −0.0067 to −0.0313. This indicates that the ability of innovation efficiency improvements to reduce the ecological footprint is gradually enhanced with increased economic development. Finally, the industrial structure, the energy structure, and energy efficiency mediate the impacts of innovation efficiency on the ecological footprint.

The Scenario Analysis of Carbon Emissions Based on Improved IPAT Model in China

2012 ◽  
Vol 616-618 ◽  
pp. 1484-1489 ◽  
Author(s):  
Xu Shan ◽  
Hua Wang Shao
Keyword(s):  
Carbon Dioxide ◽  
Economic Development ◽  
Carbon Dioxide Emissions ◽  
Industrial Structure ◽  
Energy Structure ◽  
Low Carbon ◽  
Policy Scenario ◽  
Social And Economic Development ◽  
Energy Environment ◽  
Development Goals

The coordination development of economy-energy-environment was discussed with traditional environmental loads model, combined with "decoupling" theory. Considering the possibilities of social and economic development, this paper set out three scenarios, and analyzed quantitatively the indexes, which affected carbon dioxide emissions, including population, per capita GDP, industrial structure and energy structure. Based on this, it forecasted carbon dioxide emissions in China in future. By comparing the prediction results, it held that policy scenario was the more realistic scenario, what’s more it can achieve emission reduction targets with the premise of meeting the social and economic development goals. At last, it put forward suggestions to implement successfully policy scenario, from energy structure, industrial structure, low-carbon technology and so on.

scholarly journals A Study on the Comprehensive Evaluation and Analysis of China’s Renewable Energy Development and Regional Energy Development

2021 ◽  
Vol 9 ◽  
Author(s):  
Wei Liu ◽  
Wenyu Fan ◽  
Yu Hong ◽  
Chanting Chen
Keyword(s):  
Economic Development ◽  
Renewable Energy ◽  
Structural Equation ◽  
Energy Development ◽  
Equation Model ◽  
Energy Structure ◽  
High Quality ◽  
Regional Energy ◽  
Renewable Energy Development ◽  
Development Levels

The problem of unbalanced energy development in China still exists. How to adjust the energy structure is the key to high-quality economic development in China. This paper analyses the impact of regional energy development levels on high-quality economic development in China from 2016 to 2017, with the global ML methodology and structural equation model. Firstly, from two aspects of environmental and technological factors, the Global Malmquist-Luenberger (GML) production function is used to measure the environmental endowment index of regional energy development in China. Secondly, the evaluation system of China’s energy development is established. The structural equation model is used to measure and evaluate the degree of China’s regional energy development. Combined with the environmental endowment index of regional energy development, the gap between the proportion of regional renewable energy and the optimal energy structure is analyzed. Thirdly, this paper explores the supporting effect of different energy development levels on high-quality economic development. It is concluded that the environmental endowment index of energy development varies among different regions in China, most of which are still underdeveloped, but a few of which have redundant technical elements of renewable energy development. China’s regional energy development model is still dominated by fossil fuel energy, and the proportion of renewable energy driving economic growth is relatively low. Renewable energy can effectively replace the use of fossil fuel energy and have a higher impact on high-quality economic development. Finally, on the basis of the above study, the paper puts forward policy suggestions for Chinese governments to adjust energy structure and promote high-quality economic development.

scholarly journals Does the Level of Environmental Uncertainty Matter in the Effect of Returnee CEO on Innovation? Evidence from Panel Threshold Analysis

2019 ◽  
Vol 11 (9) ◽  
pp. 2645 ◽  
Author(s):  
Weili Huang ◽  
Guangqi Ma ◽  
Xuemeng Chen
Keyword(s):  
Theoretical Foundation ◽  
Environmental Uncertainty ◽  
Chief Executive ◽  
Threshold Value ◽  
Threshold Effect ◽  
Publicly Traded ◽  
Innovation Ability ◽  
Enterprise Innovation ◽  
Threshold Regression Model ◽  
Panel Threshold Regression

This study applies a panel threshold regression model to reconcile the inconsistent findings about returnee chief executive officer (CEO) effects on enterprise innovation using the environmental uncertainty as the threshold variable and panel data from 187 publicly traded electronic firms in China for the period 2012–2016. The empirical results suggest that a significant double threshold effect does exist, showing an inverted-U correlation between returnee CEO and innovation. Specifically, a returnee CEO significantly promotes innovation at moderate levels of environmental uncertainty but significantly hinders innovation when the environmental uncertainty surpasses the larger threshold value, which contradicts much of the previous literature. This research enriches the scholarship on returnee CEOs and lays a theoretical foundation that firms can use in corporate governance. If firms pay more attention to environmental uncertainty while formulating new CEO introduction policies, substantial innovation ability can be improved at moderate levels of environmental uncertainty.

scholarly journals Haze Pollution Levels, Spatial Spillover Influence, and Impacts of the Digital Economy: Empirical Evidence from China

2021 ◽  
Vol 13 (16) ◽  
pp. 9076
Author(s):  
Jie Zhou ◽  
Hanlin Lan ◽  
Cheng Zhao ◽  
Jianping Zhou
Keyword(s):  
Economic Development ◽  
Environmental Governance ◽  
Eastern China ◽  
Spillover Effects ◽  
Digital Economy ◽  
Mediating Effect ◽  
Energy Structure ◽  
Spatial Spillover ◽  
Pollution Levels ◽  
Haze Pollution

With the development of digital technologies such as the Internet and digital industries such as e-commerce, the digital economy has become a new form of economic and social development, which has brought forth a new perspective for environmental governance, energy conservation, and emission reduction. Based on data from 30 Chinese provinces from 2011 to 2018, this study applies the space and threshold models to empirically examine the digital economy’s influence on haze pollution and its spatial spillover. Furthermore, it investigates the spatial diffusion effect of regional digital economic development and haze pollution by constructing a spatial weight matrix. Subsequently, an instrumental variable robustness test is performed. Results indicate the following: (1) Haze pollution has spatial spillover effects and high emission aggregation characteristics, with haze pollution in neighbouring provinces significantly aggravating pollution levels in the focal province. (2) China’s digital economy has positively impacted haze pollution, with digital economic development having a significant effect (i.e., most prominent in eastern China) on reducing haze pollution. (3) Changing the energy structure and supporting innovation can restrain haze pollution, and the digital economy can reduce the path mechanism of haze pollution through the mediating effect of an advanced industrial structure. It shows a non-linear characteristic that the influence of haze reduction continues to weaken. Thus, policymakers should include the digital economy as a mechanism for ecologically sustainable development in haze pollution control.

scholarly journals Does the Economic Growth Improve Public Health? A Cross-Regional Heterogeneous Study in China

2021 ◽  
Vol 9 ◽  
Author(s):  
Xiao-Tong Niu ◽  
You-Cai Yang ◽  
Yu-Cong Wang
Keyword(s):  
Public Health ◽  
Economic Growth ◽  
Health Utility ◽  
Threshold Value ◽  
Threshold Effect ◽  
Eastern Region ◽  
The Government ◽  
Threshold Regression Model ◽  
Panel Threshold Regression ◽  
Different Levels

On public health, the effect of economic growth in China is analyzed in this paper by using the panel threshold regression model. The empirical study from 2000 to 2017 shows that China's economic growth has a significant threshold effect on public health. After the threshold is exceeded, public health will be improved dramatically. The threshold effect is heterogeneous at the regional level. The eastern region has no threshold, and both central and western regions have a single significant threshold. However, the threshold value and threshold effect in the central and western regions are also different. The heterogeneity is caused by the different levels of regional economic development. Therefore, based on public health utility maximization, the government should make different health policies according to the characteristics of regional development.

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

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.

scholarly journals Environmental Regulations, the Industrial Structure, and High-Quality Regional Economic Development: Evidence from China

Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 517 ◽  
Author(s):  
Lingming Chen ◽  
Wenzhong Ye ◽  
Congjia Huo ◽  
Kieran James
Keyword(s):  
Economic Development ◽  
Industrial Structure ◽  
Environmental Regulations ◽  
Regional Economic Development ◽  
National Average ◽  
Mediating Effect ◽  
High Quality ◽  
Regional Economic ◽  
Regulatory Policies

Environmental regulation is an important means of restraining enterprises and protecting the environment. Rationalization of environmental regulatory policies can promote high-quality regional economic development. The optimization and upgrading of the industrial structure has an intermediary effect on the impact of environmental regulations on the high-quality development of the regional economy. After collating and analyzing previous research, this article proposes to classify 30 Chinese provinces into regions with higher than the national average HDI (human development index) and lower than the national average HDI based on the average HDI of Chinese provinces. We explore the mediating effect of industrial structure on environmental regulation and high-quality regional economic development. The model passed the full-sample robustness test and the robustness test with GDP as the replacement variable. The empirical results show that environmental regulations of different intensities have different effects on the quality of regional economic development. The effect of environmental regulations on development quality is mainly mediated through the transformation and upgrading of the industrial structure. Enterprises need reasonable incentives from environmental regulations to transform and upgrade. The mediating effect of the industrial structure on environmental regulations is greater in regions with below-average HDI values than in regions with above-average HDI values, which shows that the industrial structure is the mechanism underlying the effect of environmental regulations on the quality of regional economic development. This result proves that adjusting environmental regulatory policies can effectively promote the upgrading of industrial structure, thereby promoting high-quality regional economic development. Based on this, the article puts forward several policy recommendations.

scholarly journals Does the digital finance revolution validate the Environmental Kuznets Curve? Empirical findings from China

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0257498
Author(s):  
Kaiyang Zhong
Keyword(s):  
Income Inequality ◽  
Environmental Sustainability ◽  
Environmental Kuznets Curve ◽  
Industrial Structure ◽  
Threshold Value ◽  
Threshold Effect ◽  
Growth Effect ◽  
Income Growth ◽  
Kuznets Curve ◽  
Economic Activities

In recent years, digital finance has become a crucial part of the financial system and reshaped the mode of green finance in China. Digital finance has brought certain impact on economic growth, industrial structure, and resident income, which may affect pollution. The nexus of digital finance and environment in China is thus worth exploring. By revising the traditional Environmental Kuznets Curve model with income inequality variable, this paper decomposes the environmental effects of economic activities into income growth effect, industrial structure effect and income inequality effect, and use panel data of China’s provinces to conduct an empirical analysis. The results reveal the following: (1) the Environmental Kuznets Curve is still valid in sample, and digital finance can reduce air and water pollution (as measured through SO2 and COD emission) directly; (2) in the influence mechanism, digital finance can alleviate income inequality and promote green industrial structure, thus reducing pollution indirectly, but the scale effect of income growth outweighs the technological effect, which increases pollution indirectly; and (3) digital finance has a threshold effect on improving the environment, then an acceleration effect appears after a certain threshold value. From the regional perspective, digital finance development in eastern regions is generally ahead of central and western regions, and the effects of environmental improvement in the eastern regions are greater. According to the study, this paper suggest that digital finance can be an effective way to promote social sustainability by alleviating income inequality and environmental sustainability by reducing pollution.

scholarly journals Threshold Effect of Financial System on High-Quality Economic Development

2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Lu Shen ◽  
Guohua He
Keyword(s):  
Economic Development ◽  
Industrial Structure ◽  
Positive Impact ◽  
Threshold Model ◽  
Financial System ◽  
Threshold Effect ◽  
High Quality ◽  
Optimal Interval ◽  
Development Level ◽  
The Impact

The relationship between financial system and economic development is not a simple linear relationship. In some cases, the development of finance may not improve the economic development level. This paper studies the influence of the financial system on the high-quality economic development, constructs the comprehensive index of the financial system by the factor analysis method, and calculates the green total factor productivity as the index of high-quality economic development by the CRS multiplier model. Empirically, this paper takes the panel data of 30 provinces, municipalities, and autonomous regions in China from 2005 to 2018 as samples, constructs the panel threshold model, and applies the financial system, economic development level, infrastructure, and industrial structure as threshold variables to study the nonlinear relationship between the financial system and high-quality economic development. The results demonstrate that the impact of the financial system on the high-quality economy presents an inverted U-shaped relationship when the financial system and industrial structure are the threshold variables, indicating that there is an optimal interval, that is, when the financial system threshold is between 0.1355 and 0.1377 and the industrial structure threshold is between 0.1364 and 0.1408, the financial system plays a greater role in the allocation of funds and has the most obvious positive impact on high-quality economic development. Meanwhile, the impact of the financial system on the high-quality shows a marginal decreasing trend when the economic development level and infrastructure are the threshold variables; when the economic development threshold is less than 0.1409 and the basic setting threshold is less than 0.1167, the financial system has the greatest effect on promoting high-quality economic development. Based on the research results, targeted policy suggestions are put forward.

scholarly journals The Threshold Effect of FDI on Regional Innovation Capability— From the Perspective of Intellectual Property Protection

2021 ◽  
Vol 275 ◽  
pp. 03023
Author(s):  
Wencong Li
Keyword(s):  
Intellectual Property ◽  
Direct Investment ◽  
Threshold Value ◽  
Threshold Effect ◽  
Intellectual Property Protection ◽  
Innovation Capability ◽  
Regional Innovation ◽  
Threshold Regression Model ◽  
The Impact ◽  
The Relationship

As one of the important channels of technology spillover, foreign direct investment (FDI) has a significant impact on regional innovation capability, which is restricted by the intensity of intellectual property protection. In order to explore the relationship between these three factors, this paper constructs a nonlinear threshold regression model based on China’s provincial panel data from 2009 to 2018, and empirically analyzes the threshold effect of FDI on regional innovation capability with the intensity of intellectual property protection as the threshold variable. The results show that the impact of FDI on regional innovation capability has a significant single threshold effect of intellectual property protection intensity. Only when the intensity of intellectual property protection remains near the threshold value, can FDI promote regional innovation capability to the greatest extent.

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