scholarly journals How Officials’ Competitive Pressure Affects Sustainable Development Capacity From a Spatial Perspective: Empirical Evidence From China

2021 ◽  
Vol 12 ◽  
Author(s):  
He Xu ◽  
Kun Wang ◽  
Guoping Li ◽  
Yufeng Zhang
Keyword(s):  
Sustainable Development ◽  
Central Government ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Entropy Method ◽  
Environmental Indicators ◽  
Western China ◽  
Competitive Pressure ◽  
Appraisal System ◽  
Development Capacity

The view of political achievements suggests that officials will prefer to implement measures that benefit their own development in order to seek promotions. In the past, GDP weighed heavily in officials’ appraisals, leading them to develop the economy without regard to sustainability. Now that the central government has incorporated environmental indicators into the officials’ appraisal system, will this lead officials to implement sustainable development strategies to the fullest extent? Are there spillover effects and regional heterogeneity in this role? This paper discusses these questions with the help of entropy method and a spatial Durbin model using data of 30 provincial-level regions in China from 2006 to 2016. The conclusions show that, firstly, the officials’ competitive pressure is beneficial to enhance the sustainable development capacity of the province, but this effect is only effective in western China. Secondly, there is no spillover effect of officials’ competitive pressure on sustainable development capacity; thirdly, foreign direct investment, the proportion of state-owned enterprises and environmental regulations have their own unique effects on sustainable development capacity, and there are spillover effects. Based on these findings, this paper proposes corresponding policy recommendations in terms of officials’ appraisal system, talent training, foreign investment introduction, and state-owned enterprise reform.

scholarly journals Spatial Effects of Technological Progress and Financial Support on China’s Provincial Carbon Emissions

2019 ◽  
Vol 16 (10) ◽  
pp. 1743 ◽  
Author(s):  
Yingying Zhou ◽  
Yaru Xu ◽  
Chuanzhe Liu ◽  
Zhuoqing Fang ◽  
Jiayi Guo
Keyword(s):  
Carbon Emissions ◽  
Financial Support ◽  
Technological Progress ◽  
Central Government ◽  
Time Lag ◽  
Spillover Effect ◽  
Financial Structure ◽  
Spillover Effects ◽  
Carbon Intensity ◽  
Financial Efficiency

The spatial autocorrelation analysis method was applied to panel data from the provinces of China (including autonomous regions and municipalities directly under the central government) for the period 2003 to 2016 in order to construct a spatial Durbin model of technological progress and financial support in relation to reductions in carbon emissions. The results show that China’s carbon intensity presents significant spatial spillover effects under different spatial weights, which indicates that the carbon intensity of a province is influenced not only by its own characteristics, but also by the carbon emission behaviors of geographically adjacent and economically similar provinces and regions. Financial structure, financial scale, and financial efficiency all have significant effects on carbon intensity within a province, while financial structure is also linked to carbon intensity in other regions, but financial scale has no significant spillover effect on carbon intensity in space. Areas with high financial efficiency can reduce their own carbon intensity as well as that of surrounding areas. The inter-regional spillover effect of technological progress on carbon intensity is stronger than the spillover effect, but there is a time lag.

scholarly journals A Study of the Spatial Network Structure of the Health Economy in China: Benefits and Spillover Effects on Patient Mobility

2020 ◽  
Author(s):  
Liping Fu ◽  
Xu Kaibo ◽  
Liu Feng ◽  
Liang Lu ◽  
Wang Zhengmin
Keyword(s):  
Health Economic ◽  
Network Structure ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Western China ◽  
Health Economy ◽  
Spatial Network ◽  
Medical Resource ◽  
Patient Mobility ◽  
Medical Resources

Abstract Background: The distribution of medical resources in China is seriously imbalanced due to imbalanced economic development in the country, and unbalanced distribution of medical resources makes patients try to seek better health services. Against this backdrop, this study aims to analyse the spatial network characteristics and spatial effects of China's health economy ,and then find evidence that affects patient mobility. Methods: Data for this study were drawn from the China Health Statistical Yearbooks and China Statistical Books. The gravitational value of China’s health spatial network was calculated to establish a network of gravitational relationships. The social network analysis method is used for centrality analysis and spillover effect analysis. Based on the gravitational value, we used indicators for visits, health expenditure, GDP and geographical distance, as well as an illustrative index for the population, bed utilization, and burden of consultations per day. Results: A gravity correlation matrix was constructed among provinces by calculating the gravitational value, indicating the spatial relationships of different provinces in the health economic network. Economically developed provinces, such as Shanghai and Jiangsu, are at the centre of the health economic network (centrality degree=93.333). These provinces also play a strong intermediary role in the network and have connections with other provinces. In the CONCOR analysis, 31 provinces are divided into four blocks. In the traditional meaning analysis, the gap between eastern and western China is still obvious. In comparing the northern and southern regions, this study finds that the concentration of medical resources in northern provinces seems to be higher. The spillover effect of the blocks indicates provinces with medical resource centres have beneficial effects, while provinces with insufficient resources have obvious spillover effects. Conclusion: There is a significant gap in the geographical distribution of medical resources, and the health economic spatial network structure needs to be improved. Most medical resources are concentrated in economically developed provinces, and these provinces’ positions in the health economic spatial network are becoming more centralized. By contrast, economically underdeveloped regions are at the edge of the network, causing patients to move to provinces with medical resource centres. There are health risks of the increasing

scholarly journals Impact of Hydropower on Air Pollution and Economic Growth in China

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2812
Author(s):  
Chenggang Li ◽  
Tao Lin ◽  
Zhenci Xu
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Clean Energy ◽  
Spillover Effects ◽  
Western China ◽  
Annual Data ◽  
Eastern Region ◽  
Haze Pollution ◽  
Development Goals

The development of renewable clean energy such as hydropower can not only ensure energy security, but also help achieve the United Nation’s Sustainable Development Goals. This paper uses the annual data of 30 provinces in China from 2000 to 2017, and constructs a dynamic spatial Durbin model and a geographically weighted regression model to empirically test the dynamic impact of hydropower on haze pollution and economic growth at the national and provincial levels. The empirical results show that the promoting effect of hydropower on economic growth in Western China is less than that in Eastern China, which further aggravates the economic development gap between the eastern and western regions. In addition, the suppression effect of hydropower on the haze pollution in the western region is greater than that in the eastern region, where the haze pollution is serious. From the national level, hydropower can promote regional economic growth and inhibit haze pollution, and the spatial spillover effects of these two effects are greater than the local effects, and the long-term impact is greater than the short-term impact. The research conclusions of this paper will help China realize the sustainable development goals of energy saving and emission reduction.

scholarly journals Evolution Characters and Influencing Factors of Regional Eco-Efficiency in a Developing Country: Evidence from Mongolia

2021 ◽  
Vol 18 (20) ◽  
pp. 10719
Author(s):  
Bing Xia ◽  
Suocheng Dong ◽  
Yu Li ◽  
Zehong Li ◽  
Dongqi Sun ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Influencing Factors ◽  
Economic Efficiency ◽  
Population Distribution ◽  
Hot Spot ◽  
Spillover Effect ◽  
Green Technology ◽  
Environmental Indicators ◽  
Energy Structure ◽  
Tobit Regression

The sandstorm in 2021 in East Asia demonstrated the ecological issues that culminated for decades in Mongolia. Mongolia is facing challenges to realize green and sustainable development. This article aims to increase the understanding of eco-efficiency and its influencing factors in Mongolia and to provide a reference for similar developing countries and regions to achieve green and sustainable development. This article used the Slacks-Based Measure of Efficiency (SBM) model with advantages of dimension freedom and unit variable to estimate the economic efficiency and eco-efficiency of 22 provinces in Mongolia from 2007 to 2016; energy consumption and undesirable environmental outputs were taken as ecological/environmental indicators in the input and output system of regional eco-efficiency in Mongolia, combining traditional indicators of economic efficiency to build Mongolia’s eco-efficiency input–output framework. This article applied hot spot analysis and gravity center analysis to reveal the temporal and spatial evolution characters of eco-efficiency in Mongolia. Finally, the article applied panel Tobit regression to analyze the influencing factors of eco-efficiency. We were found that Mongolia’s eco-efficiency slightly improved from 0.7379 in 2007 to 0.7673 in 2016, lower than the economic efficiency. The high eco-efficiency provinces appeared in the capital Ulaanbaatar and its surrounding areas, showing an obvious spatial spillover effect. The low eco-efficiency provinces were mainly in the undeveloped western region. The relationship between per capita GDP and eco-efficiency was U-shaped and consistent with environmental Kuznets theory. Accelerating economic growth, optimizing population distribution, and improving energy structure and green technology can improve Mongolia’s eco-efficiency.

scholarly journals A Study of the Spatial Network Structure of the Health Economy in China: Regional Health Inequality and Patient Mobility

2020 ◽  
Author(s):  
Liping Fu ◽  
Xu Kaibo ◽  
Lu Feng ◽  
Liang Lu ◽  
Wang Zhengmin
Keyword(s):  
Health Economic ◽  
Network Structure ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Western China ◽  
Health Economy ◽  
Spatial Network ◽  
Medical Resource ◽  
Medical Resources ◽  
Four Blocks

Abstract Background: The distribution of medical resources in China is seriously imbalanced due to imbalanced economic development in the country. To meet the challenges presented by increasing demand and unevenness in medical resources, the primary goal of health system reform is to eliminate spatial disproportion. Against this background, this study aims to assess the distribution characteristics of regional medical resources and the effects of regional imbalances.Methods: Data for this study were drawn from the China Health Statistical Yearbooks and China Statistical Books . The gravitational value of China’s health spatial network was calculated to establish a network of gravitational relationships. The social network analysis method is used for centrality analysis and spillover effect analysis. Based on the gravitational value, we used indicators for visits, health expenditure, GDP and geographical distance, as well as an illustrative index for the population, bed utilization, and burden of consultations per day. Results: A gravity correlation matrix was constructed among provinces by calculating the gravitational value, indicating the spatial relationships of different provinces in the health economic network. Economically developed provinces, such as Shanghai and Jiangsu, are at the centre of the health economic network (centrality degree=93.333). These provinces also play a strong intermediary role in the network and have connections with other provinces. In the CONCOR analysis, 31 provinces are divided into four blocks. In the traditional meaning analysis, the gap between eastern and western China is still obvious. In comparing the northern and southern regions, this study finds that the concentration of medical resources in northern provinces seems to be higher. The spillover effect of the blocks indicates provinces with medical resource centres have beneficial effects, while provinces with insufficient resources have obvious spillover effects.Conclusion: There is a significant gap in the geographical distribution of medical resources, and the health economic spatial network structure needs to be improved. Most medical resources are concentrated in economically developed provinces, and these provinces’ positions in the health economic spatial network are becoming more centralized. By contrast, economically underdeveloped regions are at the edge of the network, causing patients to move to provinces with medical resource centres. There are health risks of the increasing pressure to seek medical treatment in developed provinces with abundant medical resources.

scholarly journals Foreign Direct Investment Spillover Effect on China’s Sustainable Development

2021 ◽  
Vol 28 (1) ◽  
pp. 117-127
Author(s):  
Jiaxiang Han ◽  
Ying Chen ◽  
Huijie Sun
Keyword(s):  
Sustainable Development ◽  
Foreign Direct Investment ◽  
Research Methods ◽  
Direct Investment ◽  
Service Sector ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Eastern Region ◽  
Statistical Research ◽  
Static And Dynamic Analysis

Abstract The unbalanced growth of FDI in China has seriously affected the coordinated development of China’s regional economies. Therefore, to achieve comprehensive, coordinated and sustainable development, China’s main strategic task is determining how to adopt positive and effective FDI policies to reduce this regional imbalance in FDI. The purpose of this paper is to explore and study the spillover effects of foreign direct investment (FDI) on China’s sustainable development. In this paper, based on the new political economics theory and overflow effects, comparative research and statistical research methods are adopted that combine static and dynamic analysis. Empirical research methods are combined with normative research to analyse the spillover effects of FDI on China’s sustainable development, particularly under the new situation of global crisis and the accompanying difficulties, to determine how to promote China’s FDI and the development of China’s sustainable progress strategy. The study found that in 2018, FDI in China reached a value of 13.466 billion US $, and the year-on-year growth in FDI in recent years has been basically stable at approximately 4 %. Asia is the main source of FDI in China. In 2018, the amount of FDI in Asia reached $109.1938.7 billion, accounting for 83.33 % of the total investment. Hong Kong, with its unique advantages, accounted for 72.12 % of FDI in China. FDI inflows are mainly directed to primary industry and the service sector, and the growth rate of foreign investment in 2016 in these sectors was 68.52 and 170.77 %, respectively, compared with 2007. FDI also mainly flows to the eastern region of China. By the end of 2018, the amount of foreign capital utilized in the eastern region reached $1,622.9 billion, representing 85.4 % of the aggregate FDI in China. The effect of FDI on China mainly focuses on three areas: economic growth, social development and environmental protection. FDI has brought positive spillover effects to China’s sustainable evolution, but with China’s continuous development, especially the change in its economic development mode, it has been consistently exposed to negative spillover effects.

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

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.

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

Complexity ◽  
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.

Challenges of the Crisis: How to Measure Sustainable Development?

2015 ◽  
pp. 147-160 ◽  
Author(s):  
S. Bobylev ◽  
N. Zubarevich ◽  
S. Solovyeva
Keyword(s):  
Sustainable Development ◽  
World Bank ◽  
Environmental Indicators ◽  
Calculation Methods ◽  
Basic Principles ◽  
The Sustainable Development ◽  
Development Index ◽  
Development Indicators ◽  
Sustainable Development Indicators ◽  
Adjusted Net Savings

The article emphasizes the fact that traditional socio-economic indicators do not reflect the challenges of sustainable development adequately, and this is particularly true for the widely-used GDP indicator. In this connection the elaboration of sustainable development indicators is needed, taking into account economic, social and environmental factors. For Russia, adaptation and use of concepts and basic principles of calculation methods for adjusted net savings index (World Bank) and human development index (UNDP) as integral indicators can be promising. The authors have developed the sustainable development index for Russia, which aggregates and allows taking into account balanced economic, social and environmental indicators.

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