The Spatial Interaction Effect of Environmental Regulation on Urban Innovation Capacity: Empirical Evidence from China

This paper applies a spatial econometric model to measure the impact of environmental regulation on urban innovation capacity from a spatial interaction perspective by using panel data from 41 cities in the Yangtze River Delta urban agglomeration from 2009 to 2018. The study findings are as follows: first, environmental regulation has a significant positive impact on urban innovation capacity and a significant positive spatial spillover effect; second, innovation capacity has significant positive spatial dependence; third, city informatization level, government expenditures on science and technology, city economic scale, and industrial development level all positively affect the innovation capacity of neighboring cities and all have positive spatial spillover effects on the innovation capacity of neighboring cities; and finally, city expansion reduces the innovation capacity of a city and has negative spatial spillover effects on the innovation capacity of neighboring cities.

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

Energies ◽

10.3390/en12020267 ◽

2019 ◽

Vol 12 (2) ◽

pp. 267 ◽

Cited By ~ 2

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.

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Effects of government supports and credits on Turkish agriculture

Journal of Agribusiness in Developing and Emerging Economies ◽

10.1108/jadee-11-2018-0164 ◽

2019 ◽

Vol 9 (4) ◽

pp. 391-401 ◽

Cited By ~ 3

Author(s):

Ahmet Ali Koç ◽

T. Edward Yu ◽

Taylan Kıymaz ◽

Bijay Prasad Sharma

Keyword(s):

Spillover Effect ◽

Value Added ◽

Spillover Effects ◽

Data Set ◽

Agricultural Output ◽

Content Type ◽

Spatial Spillover ◽

Percent Increase ◽

Spatial Spillover Effects ◽

The Impact

Purpose Domestic supports on Turkish agriculture have substantially increased over the past decade while empirical evaluation of their output impact is limited. Also, the existing literature often neglects potential spatial spillover effects of agricultural policies or subsidies. The purpose of this paper is to quantify the direct and spillover effects of Turkish agricultural domestic measures and agricultural credits use on the added agricultural value. Design/methodology/approach This study applied a spatial panel model incorporating spatial interactions among the dependent and explanatory variables to evaluate the impact of government support and credit on Turkish agricultural output. A provincial data set of agricultural output values, input factors and government subsidies from 2004 to 2014 was used to model the spatial spillover effects of government supports. Findings Results show that a one percent increase in agricultural credits in a given province leads to an average increase of 0.17 percent overall in agricultural value-added per hectare, including 0.05 percent from the direct effect and 0.12 percent from the spillover effect. Contrary to agricultural credits, a one percent increase in government supports in a province generates a mixed direct and spillover effects, resulting in an overall reduction of 0.13 percent in agricultural value-added per hectare in Turkey. Research limitations/implications This study could be extended by controlling for climate, biodiversity and investment factors to agricultural output in addition to input and policy factors if such data were available. Originality/value This study fills the gap in the literature by determining the total effect, including direct and spatial spillover effect, of domestic supports and credits on Turkish agricultural value. The findings provide crucial information to decision makers regarding the importance of incorporating spatial spillover effects in the design of agricultural policy.

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Study on the Impact of Comprehensive Urbanization on Urban Civil Building CO2 Emissions in China

10.21203/rs.3.rs-590889/v1 ◽

2021 ◽

Author(s):

Rong Guo ◽

Nan Li ◽

Hailin Mu ◽

Ming Zhang ◽

Xiyue Yang ◽

...

Keyword(s):

Comprehensive Evaluation ◽

Positive Impact ◽

Rapid Development ◽

Spillover Effect ◽

Spillover Effects ◽

Entropy Method ◽

Early Years ◽

Spatial Spillover ◽

Operation Phase ◽

The Impact

Abstract With the rapid development of China, urbanization has become an important research topic of China's CO2 emissions. To fill the gap in considering the spatial correlation of the comprehensive urbanization that includes multi-dimensional factors on CO2 emissions from the operation phase of urban civil buildings (ubec). This study constructs a comprehensive evaluation indicator of urbanization from four aspects including population, economy, society and land urbanization by using the entropy method. The spatial spillover effect of ubec and the impact of comprehensive urbanization on ubec are also studied by using the spatial panel model in this paper. This study finds out that ubec has obvious spatial spillover effects. During the early years of the study period, the eastern coastal areas had greater carbon emissions, while in recent years they have gradually transitioned to the northwestern regions. Comprehensive urbanization has a significant promotion effect on it. And foreign direct investment and per capita energy consumption also have positive impact on ubec. This study provides a reference for measuring the effects of urbanization on sector-specific CO2 emissions and maybe useful for energy efficiency and emission abatement efforts in China.

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Government Education Expenditure, Third-party Spillover Effect and Economic Growth in China

Journal of Sustainable Development ◽

10.5539/jsd.v9n2p145 ◽

2016 ◽

Vol 9 (2) ◽

pp. 145 ◽

Cited By ~ 1

Author(s):

Jiangyi Qi

Keyword(s):

Economic Growth ◽

High Education ◽

Positive Impact ◽

Spillover Effects ◽

Third Party ◽

Education Expenditure ◽

Spatial Spillover ◽

Government Education ◽

Local Economic Growth ◽

Spatial Spillover Effects

This paper investigates the impacts of government education expenditure on economic growth in China taking into account the spatial third-party spillover effects. After the theretical analyse, a spatial panel estimation model based on the augmented Solow model is applied by using province data in China during 2007 and 2013. The results reveal that (1) In a whole, Government education expenditure in China has significantly positive impact on economic growth, but expenditure in different educational level shows different results. Government education expenditure in below high-education is positive related to local economic growth, whereas the effect of education expenditure in high-education is insignificant. (2) Neighboring government education expenditure shows spatial spillover effects on local economic growth, and spatial spillover effects in two education level is different. (3) Other input factors of third-governmet also have spatial effects. Some policies about education and economic development are proposed. Meanwhile this study recommends that corporation relationship among regions is very important.

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Ecological well-being performance and influencing factors in China: from the perspective of income inequality

Kybernetes ◽

10.1108/k-06-2021-0452 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Lijun Zhou ◽

Zongqing Zhang

Keyword(s):

Income Inequality ◽

Influencing Factors ◽

Spillover Effect ◽

Well Being ◽

Spillover Effects ◽

Content Type ◽

Spatial Spillover ◽

Effective Decision ◽

The Impact ◽

Spatial Spillover Effect

PurposeChina's increasing income inequality might cause a series of problems, such as the slowdown of economic growth, social and economic tension, the decline of the ecological environment quality and the threat to citizens' health. Consequently, income inequality will inevitably affect the ecological well-being performance (EWP) level of China's provinces through the above aspects. Analyzing the impact of income inequality on EWP and its spatial spillover effects are conducive to improving the level of EWP in China. Therefore, the research purpose of this paper is to use China's provincial data from 2001 to 2017 to analyze the impact of income inequality on EWP and the spatial spillover effect based on the evaluation of the EWP value of each province.Design/methodology/approachAt first, this study utilizes the super efficiency slacks-based measure model (Super-SBM model) to calculate the EWP values of 30 provinces in China, which can evaluate and rank the effective decision units in the SBM model and make up for the defect that the effective decision units cannot be distinguished. Then this study applies the spatial Durbin model and Tobit regression model (SDM-Tobit model) to explore the impact of income inequality and other influencing factors on EWP and the spatial spillover effects in adjacent areas.FindingsFirstly, the average EWP in China fluctuated slightly and showed a downward trend from 2001 to 2017. In addition, the EWP values of the provinces in the western region are usually weaker than those in the eastern and central regions. Moreover, income inequality is negatively correlated with EWP, and the EWP has a spatial spillover effect, which means the EWP level in a region is affected by EWP values in the adjacent regions. Furthermore, the industrial structure and urbanization level are both negatively related to EWP, while technology level, investment openness, trade openness and education level are positively related to EWP.Originality/valueCompared with the existing research, the possible contribution of this research is that it takes income inequality as one of the important influencing factors of EWP and adopts the SDM-Tobit model to analyze the impact mechanism of income inequality on EWP from the perspective of time and space, providing new ideas for improving the EWP of various provinces in China.

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Spatial Spillover Effect of Heterogeneous Environmental Regulation On Ecological Welfare Performance in China

10.21203/rs.3.rs-698369/v1 ◽

2021 ◽

Author(s):

guo bing nan ◽

tang li ◽

jia ru ◽

lin ji

Keyword(s):

Spatial Distribution ◽

Environmental Regulation ◽

Regional Differences ◽

Environmental Regulations ◽

Spillover Effect ◽

Voluntary Participation ◽

Spatial Spillover ◽

Different Types ◽

The Impact ◽

Spatial Spillover Effect

Abstract This paper constructs a theoretical model to deduce the mechanism of environmental regulation on ecological welfare performance, selects the panel data of 30 provinces in China from 2005 ~ 2019, uses the Super-SBM model to measure the ecological welfare performance of China, and the influence of heterogeneous environmental regulation on ecological welfare performance in China is empirically tested by spatial Durbin model. The results show: (1) there are regional differences in the ecological welfare performance of different provinces in China, which illustrates an unbalanced spatial distribution; (2) there is significant positive spatial correlation between market incentive, command -control and voluntary participation environmental regulation and ecological welfare performance; (3) The impact of different types of environmental regulations on the performance of ecological welfare in China is heterogeneous. Command-control and market incentive environmental regulations can improve the performance of ecological welfare, while voluntary participation environmental regulations have no significant impact on the performance of ecological welfare; (4) From the perspective of spatial spillover effect, command-control environmental regulation is not conducive to the ecological welfare performance of neighboring regions, while market incentive environmental regulation is conducive to the improvement of ecological welfare performance of adjacent areas. The spatial spillover effect of voluntary participation environmental regulation on ecological welfare performance in adjacent areas is not significant.

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Asymmetric Risk Spillover Networks and Risk Contagion Driver in Chinese Financial Markets: The Perspective of Economic Policy Uncertainty

Complexity ◽

10.1155/2021/3169534 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Zongxin Zhang ◽

Ying Chen ◽

Weijie Hou

Keyword(s):

Economic Policy ◽

Real Estate ◽

Financial Markets ◽

Financial Risk ◽

Positive Impact ◽

Spillover Effect ◽

Spillover Effects ◽

Policy Uncertainty ◽

Economic Policy Uncertainty ◽

The Impact

The global financial market shocks have intensified due to the COVID-19 epidemic and other impacts, and the impacts of economic policy uncertainty on the financial system cannot be ignored. In this paper, we construct asymmetric risk spillover networks of Chinese financial markets based on five sectors: bank, securities, insurance, diversified finance, and real estate. We investigate the complexity of the risk spillover effect of Chinese financial markets and the impact of economic policy uncertainty on the level of network contagion of financial risk. The study yields three findings. First, the cross-sectoral risk spillover effects of Chinese financial markets are asymmetric in intensity. The bank sector is systemically important in the risk spillover network. Second, the level of risk stress in the real estate sector has increased in recent years, and it plays an important role in the path of financial risk contagion. Third, Economic policy uncertainty has a significant positive impact on the level of network contagion of financial risk of Chinese financial markets.

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FDI, Spillover Effect and Green Total Factor Productivity (GTFP) - Research from the Perspective of Regional Heterogeneity

E3S Web of Conferences ◽

10.1051/e3sconf/202129203051 ◽

2021 ◽

Vol 292 ◽

pp. 03051

Author(s):

Hang Xiao ◽

Xiangjian Zhang

Keyword(s):

Environmental Regulation ◽

Spillover Effect ◽

Spillover Effects ◽

Bottom Line ◽

Regional Heterogeneity ◽

Green Development ◽

Starting Point ◽

Mechanism Of Impact ◽

The Impact ◽

The Relationship

The report of the 19th National Congress of the Communist Party of China emphasized the need to promote green development and strengthen the environmental protection system. China’s introduction of foreign investment has gradually shifted from emphasis on “quantity” to “quality” in the context of the new normal. In view of this, this paper discussed the mechanism of impact of FDI on China’s regional GTFP with the relationship between FDI and the regional GTFP as the logic starting point. The research results show that FDI has in general exerted a “pollution halo” effect in China, which affects the regional GTFP through technology and human capital spillover effects; FDI has non-linear impact on GTFP at different levels of environmental regulation and marketization; “pollution haven", “bottom line competition” and other phenomena will occur at low levels of environmental regulation and marketization; FDI will inhibit the increase in China’s regional GTFP; the impact of FDI on GTFP is regionally different, and the western and northeastern regions are “pollution havens” in China.

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Influence of environmental regulations on China’s tourism competitiveness

Nankai Business Review International ◽

10.1108/nbri-12-2017-0073 ◽

2019 ◽

Vol 10 (3) ◽

pp. 429-446

Author(s):

Cong Peng ◽

Peng Yuan

Keyword(s):

Environmental Pollution ◽

Environmental Regulation ◽

Environmental Regulations ◽

Tourism Development ◽

Nonlinear Effects ◽

Spillover Effects ◽

Spatial Econometric ◽

Content Type ◽

Spatial Spillover ◽

Spatial Spillover Effects

Purpose China intends to enhance its environmental regulations, which will affect many industries, because of the serious environmental pollution that the country faces. This study aims to investigate the influence of environmental regulations on China’s provincial tourism competitiveness. Design/methodology/approach A vertical-and-horizontal scatter degree method is used to construct provincial-level tourism competitiveness and environmental regulation indices in China. Thereafter, a spatial econometric model is established to empirically assess the influence of environmental regulations on China’s provincial tourism competitiveness and investigate the spatial spillover effects of environmental regulations. Findings Environmental regulations and China’s provincial tourism competitiveness exhibit a “U”-shaped relationship, mainly because of the indirect effects of environmental regulations (spatial spillover effects). The environmental regulation indices of the majority of the provinces have crossed the turning point. Thus, improving environmental regulations has a positive effect on tourism competitiveness. This effect mainly originates from the positive spatial spillover effects. Social implications Tourism development plays an important role in promoting economic growth. However, increasing environmental pollution may constrain the development of tourism. Therefore, the possible influence of environmental regulations on tourism development should be understood. Originality/value At present, no research has explored the influence of environmental regulations on China’s tourism competitiveness. The current study considers the nonlinear effects of environmental regulations and investigates their spatial spillover effects.

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