Regional Corruption, Urbanization, and Smokeless Development: An Empirical Study from China

2021 ◽  
Vol 7 (6) ◽  
pp. 6029-6039
Author(s):  
Yu Bingwen ◽  
Zhang Chang
Keyword(s):  
Environmental Pollution ◽  
Environmental Quality ◽  
Carbon Emission ◽  
Turning Point ◽  
Dynamic Panel Data ◽  
County Level ◽  
Low Carbon ◽  
Dynamic Panel ◽  
Pollution Effects ◽  
Chinese City

Economic development is not only about quantity, but also about quality, so it’s important to regulate the tobacco, and make the development in a low carbon and smokeless way. Relying on the Chinese city-level dynamic panel data of 2005–2018 and using GMM estimation, this study founded that corruption aggravates carbon emission as well as the pollution effects of urbanization. When the environmental effect of corruption via urbanization is controlled, urbanization can reduce carbon emissions. Furthermore, the inverted U-shaped relationship between urbanization and carbon emission exists with turning point at 3.60, that means when the corruption level is below (above) 3.60, urbanization can improve (aggravate) environmental quality. The results also suggested that urbanization improved environmental quality in 32 cities, including Beijing, Shanghai, while in others, it aggravated environmental pollution. Namely that urbanization can improve the local environmental quality only when the corruption level is low; otherwise, it would aggravate the local environmental pollution. By calculating the average corruption level for different city administrative level—above prefecture-level cities, prefecture-level cities, and county-level cities—the values of which were estimated as 3.48, 3.82, and 4.02 respectively, we also founded that urbanization has improved environmental quality only in the above prefecture-level cities, while in the other cities, urbanization has aggravated the local environmental pollution.

scholarly journals Carbon Emission Governance Zones at the County Level to Promote Sustainable Development

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 197
Author(s):  
He Zhang ◽  
Jingyi Peng ◽  
Dahlia Yu ◽  
Lie You ◽  
Rui Wang
Keyword(s):  
Sustainable Development ◽  
Carbon Emission ◽  
Total Carbon ◽  
Small Scale ◽  
County Level ◽  
Low Carbon ◽  
High Carbon ◽  
Governance System ◽  
Medium Carbon ◽  
Indicator Evaluation

Low-carbon governance at the county level has been an important issue for sustainable development due to the large contributions to carbon emission. However, the experiences of carbon emission governance at the county level are lacking. This paper discusses 5 carbon emission governance zones for 1753 counties. The zoning is formed according to a differentiated zoning method based on a multi-indicator evaluation to judge if the governance had better focus and had formulated a differentiated carbon emission governance system. According to zoning results, there is 1 high-carbon governance zone, 2 medium-carbon governance zones, and 2 low-carbon zones. The extensive high-carbon governance zone and medium-carbon zones are key governance areas, in which the counties are mainly located in the northern plain areas and southeast coastal areas and have contributed 51.88% of total carbon emissions. This paper proposes differentiated governance standards for each indicator of the 5 zones. The differentiated zoning method mentioned in this paper can be applied to other governance issues of small-scale regions.

scholarly journals Constructing an Environmental Friendly Low-Carbon-Emission Intelligent Transportation System Based on Big Data and Machine Learning Methods

2020 ◽  
Vol 12 (19) ◽  
pp. 8118
Author(s):  
Tu Peng ◽  
Xu Yang ◽  
Zi Xu ◽  
Yu Liang
Keyword(s):  
Sustainable Development ◽  
Environmental Pollution ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Intelligent Transportation ◽  
Exhaust Emissions ◽  
Low Carbon ◽  
Vehicle Exhaust ◽  
The Sustainable Development ◽  
Low Carbon Emission

The sustainable development of mankind is a matter of concern to the whole world. Environmental pollution and haze diffusion have greatly affected the sustainable development of mankind. According to previous research, vehicle exhaust emissions are an important source of environmental pollution and haze diffusion. The sharp increase in the number of cars has also made the supply of energy increasingly tight. In this paper, we have explored the use of intelligent navigation technology based on data analysis to reduce the overall carbon emissions of vehicles on road networks. We have implemented a traffic flow prediction method using a genetic algorithm and particle-swarm-optimization-enhanced support vector regression, constructed a model for predicting vehicle exhaust emissions based on predicted road conditions and vehicle fuel consumption, and built our low-carbon-emission-oriented navigation algorithm based on a spatially optimized dynamic path planning algorithm. The results show that our method could help to significantly reduce the overall carbon emissions of vehicles on the road network, which means that our method could contribute to the construction of low-carbon-emission intelligent transportation systems and smart cities.

scholarly journals Human development associated with environmental quality in China

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246677
Author(s):  
Xiaoyu Li ◽  
Lan Xu
Keyword(s):  
Environmental Pollution ◽  
Human Development ◽  
Environmental Quality ◽  
Turning Point ◽  
Regional Economic Growth ◽  
Degradation Index ◽  
Unit Increase ◽  
Speed Up ◽  
The Government ◽  
The Relationship

This paper aims to investigate the connection between overall environmental quality and human development. Based on China’s provincial panel data from 2004 to 2017, this study constructed the Environment Degradation Index (EDI) and Human Development Index (HDI) to measure environmental pollution and human development, respectively, and it used the Simultaneous Equations Model (SEM) to assess the relationship between them. The results showed that there was an inverted U-shaped relationship found between EDI and HDI, and the coefficients of the first and second power of HDI were 5.2781 and -2.3476, respectively. Meanwhile, the results also confirmed that environmental pollution, in turn, delayed regional economic growth, and every 0.01 unit increase in EDI was correlated with a 3.15% decrease in GDP per capita. It is recommended that the government should speed up human development to surpass the turning point of the inverted U-shaped curve soonest possible.

scholarly journals The Dynamic Interrelationship of Environmental Factors and Foreign Direct Investment: Dynamic Panel Data Analysis and New Evidence from the Globe

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Hayat Khan ◽  
Itbar Khan ◽  
Le Thi Kim Oanh ◽  
Zhang Lin
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Environmental Factors ◽  
Environmental Quality ◽  
Direct Investment ◽  
Carbon Emission ◽  
Dynamic Panel Data ◽  
Renewable Energy Consumption

Studies on the role of renewable energy consumption and other environmental factors in carbon emission have got considerable attention recently, and they are predicted to get exaggerated in the coming decades. Energy usage increases economic growth and development of a country and backs to global warming and carbon emission which affect the local environment. For the prosperity of a country, it is felt crucial to measure the unavoidable impacts which effect environmental quality. Consequently, the current study investigates the interrelationship of renewable energy consumption, carbon dioxide emission, foreign direct investment, and economic growth in 190 countries of the world for the period of 1980 to 2018. By employing both static and dynamic models, the findings indicate that carbon emission, renewable energy consumption, foreign direct investment, and economic growth affect each other significantly whereas renewable energy consumption has been found beneficial for environmental quality; however, it decreases the inflow of FDI. RE has a decreasing impact, while FDI and carbon emission promote economic growth. The study suggests the promotion of renewable energy resources and policies related to FDI to promote the quality of the environment and achieve economic growth as well.

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