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

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

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18094470 ◽

2021 ◽

Vol 18 (9) ◽

pp. 4470

Author(s):

Ruomeng Zhou ◽

Yunsheng Zhang ◽

Xincai Gao

Keyword(s):

Environmental Regulation ◽

Industrial Development ◽

Positive Impact ◽

Spatial Interaction ◽

Spillover Effect ◽

Spillover Effects ◽

Spatial Spillover ◽

Innovation Capacity ◽

Spatial Spillover Effects ◽

The Impact

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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Impact of Logistics Development on Economic Growth: An Empirical Research from Guangdong Province in China

Complexity ◽

10.1155/2021/9950935 ◽

2021 ◽

Vol 2021 ◽

pp. 1-12

Author(s):

Xiaofei Li ◽

Fen Chen

Keyword(s):

Economic Growth ◽

Spillover Effect ◽

Guangdong Province ◽

Spillover Effects ◽

Entropy Method ◽

Logistics Industry ◽

Spatial Spillover ◽

Comprehensive Development ◽

Local Economic Growth ◽

The Impact

This paper evaluates the impact of the development of the logistics industry on economic growth based on panel data of 21 cities in Guangdong Province in China from 2007 to 2019. Using the overall entropy method, the comprehensive development index of the logistics industry is constructed to capture the performance of the logistics industry. On this basis, by using Moran’s index, we measure the spatial agglomeration effect of the logistics industry. Furthermore, direct and spatial spillover effects are also obtained. The estimation results of the spatial Durbin model (SDM) reveal that the elasticity coefficient of the effect of the comprehensive development level of the logistics industry on economic growth is 0.2590, which is significant at the 1% level. In addition, the coefficient of the direct effect of the logistics industry on local economic growth is 0.4074, and the coefficient of the spatial spillover effect on the economic growth of the surrounding areas is 0.3596, which are both significant at the 1% level. These results indicate that the development of the logistics industry can not only improve local economic growth but also promote the economic growth of the surrounding regions.

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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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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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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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Spatial Spillover Effects of Air Pollution on the Health Expenditure of Rural Residents: Based on Spatial Durbin Model

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18137058 ◽

2021 ◽

Vol 18 (13) ◽

pp. 7058

Author(s):

Bo Sun ◽

Bo Wang

Keyword(s):

Air Pollution ◽

Direct Effect ◽

Health Expenditure ◽

Spillover Effect ◽

Spillover Effects ◽

Spatial Durbin Model ◽

Rural Residents ◽

Spatial Spillover ◽

The Impact ◽

Spatial Spillover Effect

Background: Air pollution is one source of harm to the health of residents, and the impact of air pollution on health expenditure has become a hot topic worldwide. However, few studies aim at the spatial spillover effects of air pollution on the health expenditure of rural residents (HE-RR), including the impact on the health expenditure in neighboring areas. Objective: Based on the existing research, this paper further introduces the spatial dimension and uses the Spatial Durbin model to discuss the impact of environmental pollution on the health expenditure of rural residents (HE-RR). Methods: Based on provincial panel data during 2002–2015 in China, the Spatial Durbin model was used to investigate the spatial spillover effect of the average annual concentration of PM2.5 (AAC-PM2.5) on the health expenditure of rural residents (HE-RR). Results: There was a significant positive correlation between AAC-PM2.5 and health expenditure of rural residents (HE-RR) in neighboring areas at a significant level of 5% (COEF: 2.546, Z:2.340), that is, AAC-PM2.5 has a spatial spillover effect on PC-HE-RR in neighboring areas, and the spatial spillover effect is greater than the direct effect. The migration and diffusion of PM2.5 pollution will affect the air quality of neighboring areas, leading to the health risk not only from the local PM2.5 pollution but also the nearby PM2.5 pollution. Conclusion: The results show a significant positive relationship between air pollution and HE-RR in neighboring areas, and the spatial spillover effect is greater than the direct effect.

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Spatial Spillover Effect of Financial Flexibility on Investment in China’s Convention and Exhibition Listed Companies

Mathematical Problems in Engineering ◽

10.1155/2020/3926747 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

Xiaoqun Liu ◽

Liuchun Yu ◽

Yuchen Zhang ◽

Youcong Chao

Keyword(s):

Spillover Effect ◽

Spillover Effects ◽

Spatial Dimension ◽

Financial Flexibility ◽

Spatial Spillover ◽

The Impact ◽

Exhibition Industry ◽

Different Levels ◽

Spatial Spillover Effect

Financial flexibility is an important research issue in corporate finance. This paper utilizes the Spatial Durbin Model (SDM) to analyze the impact of financial flexibility on the investment of Convention and Exhibition companies listed on the New Third Board from 2014 to 2016. The empirical results show the following. Firstly, the greater the financial flexibility, the more investment the firm will make. Secondly, the enhancement in financial flexibility would lead to an increase in investment of companies in the Convention and Exhibition industry in the local provinces, indicating that the financial flexibility has a significant positive intraregional spatial spillover effect on investment. On the other hand, financial flexibility has spatial spillover effects, and its rise will reduce the investment in other provinces, which could be explained by the competition effect between enterprises. Overall, we have further elucidated the role of different levels of financial flexibility on the investment of the Convention and Exhibition listed enterprises from the spatial dimension, thereby enriching the existing research on corporate financial flexibility and corporate value to some certain extent.

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Effects of tourism development on economic growth: An empirical study of China based on both static and dynamic spatial Durbin models

Tourism Economics ◽

10.1177/13548166211021175 ◽

2021 ◽

pp. 135481662110211

Author(s):

Honghong Liu ◽

Ye Xiao ◽

Bin Wang ◽

Dianting Wu

Keyword(s):

Economic Growth ◽

Spillover Effect ◽

Tourism Development ◽

Spillover Effects ◽

Policy Implications ◽

Long Term Effects ◽

Spatial Spillover ◽

Domestic Tourism ◽

Inbound Tourism ◽

Spatial Spillover Effect

This study applies the dynamic spatial Durbin model (SDM) to explore the direct and spillover effects of tourism development on economic growth from the perspective of domestic and inbound tourism. The results are compared with those from the static SDM. The results support the tourism-led-economic-growth hypothesis in China. Specifically, domestic tourism and inbound tourism play a significant role in stimulating local economic growth. However, the spatial spillover effect is limited to domestic tourism, and the spatial spillover effect of inbound tourism is not significant. Furthermore, the long-term effects are much greater than the short-term impact for both domestic and inbound tourism. Plausible explanations of these results are provided and policy implications are drawn.

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Spatial Spillover Effect and Influencing Factors of Information Flow in Urban Agglomerations—Case Study of China Based on Baidu Search Index

Sustainability ◽

10.3390/su13148032 ◽

2021 ◽

Vol 13 (14) ◽

pp. 8032

Author(s):

Chengzhuo Wu ◽

Li Zhuo ◽

Zhuo Chen ◽

Haiyan Tao

Keyword(s):

Influencing Factors ◽

Information Flow ◽

Spillover Effect ◽

Spillover Effects ◽

Urban Agglomeration ◽

Coordinated Development ◽

Spatial Spillover ◽

Urban Agglomerations ◽

Search Index ◽

Spatial Spillover Effect

Cities in an urban agglomeration closely interact with each other through various flows. Information flow, as one of the important forms of urban interactions, is now increasingly indispensable with the fast development of informatics technology. Thanks to its timely, convenient, and spatially unconstrained transmission ability, information flow has obvious spillover effects, which may strengthen urban interaction and further promote urban coordinated development. Therefore, it is crucial to quantify the spatial spillover effect and influencing factors of information flows, especially at the urban agglomeration scale. However, the academic research on this topic is insufficient. We, therefore, developed a spatial interaction model of information flow (SIM-IF) based on the Baidu Search Index and used it to analyze the spillover effects and influencing factors of information flow in the three major urban agglomerations in China, namely Beijing–Tianjin–Hebei (BTH), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD) in the period of 2014–2019. The results showed that the SIM-IF performed well in all three agglomerations. Quantitative analysis indicated that the BTH had the strongest spillover effect of information flow, followed by the YRD and the PRD. It was also found that the hierarchy of cities had the greatest impact on the spillover effects of information flow. This study may provide scientific basis for the information flow construction in urban agglomerations and benefit the coordinated development of cities.

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Research on the Impact of Information Security Certification and Concealment onFinancial Performance

Journal of Global Information Management ◽

10.4018/jgim.20220801oa04 ◽

2022 ◽

Vol 30 (3) ◽

pp. 0-0

Keyword(s):

Information Security ◽

Financial Performance ◽

Positive Impact ◽

Rapid Development ◽

International Standards ◽

Corporate Decisions ◽

Using Data ◽

The Impact ◽

The Relationship ◽

Iso 27001

With the rapid development of information technology, information security has been gaining attention. The International Organization for Standardization (ISO) has issued international standards and technical reports related to information security, which are gradually being adopted by enterprises. This study analyzes the relationship between information security certification (ISO 27001) and corporate financial performance using data from Chinese publicly listed companies. The study focusses on the impact of corporate decisions such as whether to obtain certification, how long to hold certification, and whether to publicize information regarding certification. The results show that there is a positive correlation between ISO 27001 and financial performance. Moreover, the positive impact of ISO 27001 on financial performance gradually increases with time. In addition, choosing not to publicize ISO 27001 certification can negatively affect enterprise performance.

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