scholarly journals Impact of China's Environmental Decentralization on Carbon Emissions From Energy Consumption: An Empirical Study Based on the Dynamic Spatial Econometric Model

2021 ◽  
Author(s):  
Xianzhao Liu ◽  
Xu Yang
Keyword(s):  
Environmental Management ◽  
Environmental Monitoring ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Econometric Model ◽  
Fiscal Decentralization ◽  
Eastern Region ◽  
Spatial Econometric ◽  
Management Power ◽  
Administrative Decentralization

Abstract Facing the growing problem of carbon emission pollution, the scientific and reasonable division of environmental management power between governments is the premise and institutional foundation for realizing China's carbon emission reduction target in 2030. Although existing studies have focused on the relationship between Chinese decentralization and carbon emissions, most of them are based on fiscal decentralization indicators to depict China's environmental decentralization, lacking of systematic analysis and empirical test of institutional factors affecting carbon emissions from the perspective of environmental management. In this paper, we directly assess the environmental decentralization degree according to the allocation of environmental management personnel among different levels of government. By incorporating fiscal decentralization indicators, the provincial panel data and dynamic spatial econometric model are used to empirically test the impact of environmental decentralization on carbon emissions from spatial perspective. The study found that: (1) China's provincial carbon emissions have a significant positive spatial autocorrelation, showing a clear trend of high-high, low-low aggregation, and the carbon emissions of the previous period and the current have an obvious positive relationship. (2) At the national level, environmental decentralization, environmental administrative decentralization and environmental monitoring decentralization significantly reduce China's carbon emissions, while environmental supervision decentralization and fiscal decentralization significantly aggravate carbon emissions, which means that China's current environmental decentralization systems are generally conducive to carbon emission governance. The interaction between fiscal decentralization and environmental decentralization with its decomposition indicators significantly promotes carbon emissions, and its impact is related to the category of environmental decentralization, indicating that when local governments have greater environmental management power and fiscal autonomy, the combination of the two will push up carbon emissions. (3) The carbon emission effects of environmental decentralization in different regions are spatially heterogeneous. In the central region, environmental decentralization, environmental administrative decentralization and environmental supervision decentralization can promote carbon emissions apart from environmental monitoring decentralization. In the western region, the carbon emission suppression effect of environmental decentralization, environmental administrative decentralization and environmental monitoring decentralization is stronger than the eastern region, but the inhibitory effect of fiscal decentralization and environmental decentralization with its decomposition index interaction on carbon emissions in the eastern region is significantly better than the central and western regions. The above results provide policy ideas and theoretical support for the construction of the environmental management system with long-term carbon emission control in China in terms of regional differences and categories of environmental management power.

scholarly journals Spatio-Temporal Variation of Health Production Efficiency Considering Environmental Pollution in China Based on Modified EBM and Spatial Econometric Model

2021 ◽  
Vol 9 ◽  
Author(s):  
Fan Liu ◽  
Gen Li ◽  
Ying Zhou ◽  
Yinghui Ma ◽  
Tao Wang
Keyword(s):  
Temporal Variation ◽  
Production Efficiency ◽  
Econometric Model ◽  
Spillover Effects ◽  
Eastern Region ◽  
Health Production ◽  
Spatial Econometric ◽  
Average Efficiency ◽  
Spatial Econometric Model ◽  
Spatio Temporal

In order to strengthen the construction of China's health industry and improve the health of the people, based on the data of 31 provinces and cities in China from 2009 to 2019, the improved EBM model is used to measure the health production efficiency of each region, and Moran index is used to study the Spatio-temporal variation of health production efficiency of each province. Finally, the spatial econometric model is applied to study the influencing factors of the Spatio-temporal variation of health production efficiency. The results show that generally speaking, the average efficiency of 31 provinces and cities is above 0.7, and the average efficiency of some regions is above 1. From the perspective of time variation, the average efficiency value in the eastern region and the middle region increases from 0.816 to 0.882 and from 0.851 to 0.861, respectively. However, the average efficiency value in the western region and northeast region decreases from 0.861 to 0.83 and from 0.864 to 0.805, respectively. From the perspective of spatial distribution, HH agglomeration and LL agglomeration exist in most regions. By comparing Moran scatter plots in 2009 and 2019, it is found that the quadrants of most regions remain unchanged, and LL agglomeration is the main agglomeration type in local space. There is a significant spatial dependence among different regions. From the perspective of spatial empirical results, Pgdp, Med, and Pd have a positive effect on health production efficiency. The direct effect and indirect effect of Pgdp, Med, and Gov all pass the significance test of 1%, indicating that there are spatial spillover effects of the three indicators. Each region should reasonably deal with the spillover effect of surrounding regions, vigorously develop economic activities, carry out cooperation with surrounding regions and apply demonstration effect to accelerate the development of overall health production.

scholarly journals Provincial Carbon Emissions Efficiency and Its Influencing Factors in China

2019 ◽  
Vol 11 (8) ◽  
pp. 2355 ◽  
Author(s):  
Wang ◽  
Wang ◽  
Zhang ◽  
Dang
Keyword(s):  
Panel Data ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Scale Economy ◽  
Green Economy ◽  
Eastern Region ◽  
Tobit Regression ◽  
Emission Performance

We calculated provincial carbon emissions efficiency and related influencing factors in China with the purpose of providing a reference for other developing countries to develop a green economy. Using panel data covering the period from 2004–2016 from 30 provinces in China, we calculated the carbon emission performance (CEP) and the technology gap ratio of carbon emission (TGR) with the data envelopment analysis (DEA) method and the meta-frontier model separately to analyze provincial carbon emissions efficiency in China. No matter which indicator was employed, we found that distinct differences exist in the eastern, the central, and the western regions of China, and the eastern region has the highest carbon emission performance, followed by the central and the western regions. Then, the panel data Tobit regression model was employed to analyze the influencing factors of carbon emissions efficiency, and we found that scale economy, industrial structure, degree of opening up, foreign direct investment (FDI), energy intensity, government interference, ownership structure, and capital-labor ratio have different impacts on the carbon emission efficiency in different regions of China, which indicates different policies should be implemented in different regions.

scholarly journals The Impact of Foreign Direct Investment on Environmental Pollution in China: Corruption Matters

2020 ◽  
Vol 17 (18) ◽  
pp. 6477
Author(s):  
Shi Wang ◽  
Hua Wang ◽  
Qian Sun
Keyword(s):  
Foreign Direct Investment ◽  
Environmental Pollution ◽  
Interaction Effect ◽  
Direct Investment ◽  
Econometric Model ◽  
Spillover Effect ◽  
Eastern Region ◽  
Environmental Standards ◽  
Spatial Econometric ◽  
The Impact

This research investigates the interaction effect between corruption and foreign direct investment (FDI) on environmental pollution by applying the spatial econometric model to the panel data of China’s 29 provinces from 1994 to 2015 and analyzes the differences between China’s eastern, central and western regions. Results show that (a) FDI inflow deteriorates the environmental quality, validating the pollution haven hypothesis (PHH); (b) by weakening the environmental standards, corruption enables the inflow of low-quality FDI, weakens the spillover effect of FDI and indirectly causes further environmental pollution; (c) the interaction effect between corruption and FDI on environmental pollution is less significant in the eastern region than in the central and western regions.

scholarly journals Why Is Non-Economic Information Important to Carbon Disclosure?

2016 ◽  
Vol 1 (1) ◽  
pp. 34-42
Author(s):  
Eka Siskawati ◽  
Eko Ganis Sukoharsono ◽  
Rosidi Rosidi ◽  
Abdul Ghofar
Keyword(s):  
Environmental Management ◽  
Environmental Impact ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Jel Classification ◽  
Economic Information ◽  
Greenhouse Gases Emissions ◽  
Process Methodology ◽  
The Government ◽  
Environmentally Friendly Production

Objective - The purpose of this study is to provide the argument that carbon disclosure must not only provide economic but also non-economic information. The more comprehensive disclosure of carbon emission is expected to change the behavior of industries in realizing a more environmentally friendly production process. Methodology/Technique - Data were collected through interviews and observation of documentations from three parties: the BOWL company, the Ministry of Forest and Environment and the Ministry of Industry. Findings - Results show that the rating program of the industry's performance in environmental management (PROPER) from the government's perspective is an instrument which can encourage and establish the industry's compliance and awareness of environmental management regulations. Novelty - This paper also focused on analysing how the government applies regulation approaches in changing the industry's paradigm to undertake ethical businesses. Type of Paper Empirical Keywords: Greenhouse Gases Emissions, Carbon Emissions Disclosure, Environmental Accountability, Non-Economic Information, Environmental Impact Assessment. JEL Classification: D82, M14.

scholarly journals How Does Energy Misallocation Affect Carbon Emission Efficiency in China? An Empirical Study Based on the Spatial Econometric Model

2019 ◽  
Vol 11 (7) ◽  
pp. 2115 ◽  
Author(s):  
Chu ◽  
Geng ◽  
Guo
Keyword(s):  
Carbon Emission ◽  
Econometric Model ◽  
Survey Period ◽  
Spatial Econometric ◽  
Emission Efficiency ◽  
East Region ◽  
Low Degree ◽  
Policy Suggestions ◽  
Spatial Econometric Model ◽  
The Impact

As an essential factor of production, energy is receiving increased attention. Yet, other than some fundamental policy suggestions towards China’s energy issues, there have been very few investigations into energy misallocation so far. The measurements of energy misallocation index and carbon emission efficiency were made based on the panel data from 30 provinces in China. To empirically study the impact of energy misallocation on carbon emission efficiency, a spatial econometric model was built. It is found that during the survey period, there was a certain degree of energy misallocation in all regions of China, and the differences between the regions were obvious. There is an inverted U-shaped relationship between the impact of energy misallocation and carbon emission efficiency in which intensified allocation distortion accelerates the arrival of the critical point that is not conducive to energy conservation and emission reduction. The results viewed by regions show that due to a low degree o*f misallocation, the impact of carbon emission efficiency in the east region is positive, while that of the central and west regions are mostly negative. Accordingly, it is necessary to accelerate the marketization process of the energy market and improve the ecological quality.

scholarly journals The Contribution of Technology Finance to the Quality of Economic Growth - Empirical Analysis Based on Spatial Econometric Model

2019 ◽  
Author(s):  
Yuming Xu ◽  
Xu Zhou ◽  
Zhiqiang Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Econometric Model ◽  
Entropy Method ◽  
Eastern Region ◽  
Promoting Effect ◽  
Spatial Econometric ◽  
Spatial Econometric Model ◽  
The Relationship

(1) Background: Most of the existing studies focus on the evaluation of technology finance; the relationship between technology finance and technology innovation. But there are few studies on the development of technology finance and the quality of economic development in our country; (2) Methods: Based on the panel data of 30 provinces in China, this paper constructs an index system to measure the development of technology finance through the improved entropy method, and tests the spatial correlation of the development of technology finance in China by Moran'I index. According to the test results, this paper constructs a spatial econometric model to empirically analyze the promoting effect of scientific, technological and financial development on high-quality economic development, and analyzes its promoting effect in different regions and different time periods; (3) Results: The results show that the quality of China's economic growth is spatially dependent, and the development of science, technology and finance can significantly promote the quality economic development in China. And the promotion coefficient of the central region is the largest, as well as the coefficient of the eastern region is the smallest. The promotion coefficient was small and not significant before 2015, and was significantly positive after 2015; (4) Conclusions: this paper puts forward the corresponding policy recommendations according to the research results.

scholarly journals Land Use Eco-Efficiency and Its Convergence Characteristics Under the Constraint of Carbon Emissions in China

2019 ◽  
Vol 16 (17) ◽  
pp. 3172 ◽  
Author(s):  
Haoran Yang ◽  
Qun Wu
Keyword(s):  
Land Use ◽  
Convergence Rate ◽  
Industrial Structure ◽  
Convergence Rates ◽  
Econometric Model ◽  
Directional Distance Function ◽  
Eastern Region ◽  
Spatial Econometric ◽  
Spatial Convergence ◽  
Technological Strength

By defining the connotation of land use eco-efficiency, land use eco-efficiency from 2003 to 2015 was calculated on the basis of the mixed directional distance function, and its spatial convergence analyzed using a spatial econometric model. Results showed that (1) the land use eco-efficiency in most regions of China was relatively ineffective—only Guangdong and Guangxi were relatively effective—and the spatial distribution of efficiency levels in each region was polarized. (2) Sigma and beta convergences were observed in land use eco-efficiency in China, and land use eco-efficiency in each province had an influence on the other. (3) The convergence rate of the eastern region was the same as that of the national region (0.164). The convergence rates of the central, western, and northeast regions were 0.181, 0.183, and 0.189, respectively, which were all higher than the national convergence rate. (4) Scientific and technological strength and industrial structure significantly promoted the improvement of land use eco-efficiency and steady development of land use in China.

scholarly journals Measurement of the Degree of Coordination in Regard to Carbon Emissions, Economic Development, and Environmental Protection in China

2021 ◽  
Vol 11 (4) ◽  
pp. 1750
Author(s):  
Chenyu Lu ◽  
Dai Wang ◽  
Hengji Li ◽  
Wei Cheng ◽  
Xianglong Tang ◽  
...  
Keyword(s):  
Economic Development ◽  
Environmental Protection ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Central Government ◽  
Spatial Aggregation ◽  
Eastern Region ◽  
Emission Efficiency ◽  
Coordination Development ◽  
Coordination Degree

Driven by economic development, the dramatic increase in carbon emissions has led to global warming and a series of environmental problems. The question of how to ensure harmonized coordination between economic development, carbon emissions and environmental protection has become increasingly important. The conflicts between the use of energy and emission reductions in China have become more intense. It is an inevitable requirement for China’s sustainable development to promote a low-carbon circular economy and the simultaneous and coordinated development of carbon emissions, the economy and the environment. The present study took 30 provinces (municipalities and autonomous regions directly under the Central Government) as the research objects (Tibet, Hong Kong, Macau, and Taiwan are not included in the study due to the lack of relevant data), and applied quantitative analysis methods, such as three-stage data envelopment analysis (DEA) models, coupling coordination degree models and spatial analysis models, to construct a measurement index system. On the basis of the measurement of its carbon emission efficiency, the level of China’s coordination degree in regard to carbon emissions, economic development, and environmental protection at both spatial and temporal dimensions was analyzed comprehensively in order to reveal its temporal and spatial characteristics. The conclusions are as follows: (1) China’s overall carbon emission efficiency displayed a gradual upward trend, although the overall level was not that high. Therefore, there is still much scope for further improvement. (2) The level of China’s coordination degree in regard to carbon emissions, economic development, and environmental protection showed a steady yet rising trend. All provinces reached different levels of coordination development, and there was no province that displayed a disorderly declining trend. However, the number of provinces that reached or went beyond the intermediate level of coordination development was quite limited. (3) The level of China’s coordination degree in regard to carbon emissions, economic development, and environmental protection displayed obvious spatial aggregation patterns at the provincial level, showing an apparent spatial dependence and heterogeneity. Over time, the level of spatial aggregation patterns in regard to coordination degree tended to weaken. Overall, the values were high in the eastern region and low in the western region, decreasing from the eastern coastal zone towards the western inland zone, thus demonstrating a contrasting east-west spatial distribution pattern.

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