scholarly journals Statistical Analysis on the Effect of the Utilization of Mineral Resources on the Environmental Impact in China

2021 ◽  
Vol 13 (15) ◽  
pp. 8462
Author(s):  
Wenqi Zhu ◽  
Kangkang Zhang ◽  
Deyi Xu ◽  
Ziyuan Liu ◽  
Jingke Gao

Based on the spatial econometric model, this paper mainly studies the impact of the utilization of mineral resources on environmental pollution and the impact of environmental regulation on the utilization of mineral resources in 30 provincial regions from 2003 to 2016, and analyzes the impact mechanism of heterogeneity and synergy. The results show that the utilization of mineral resources intensifies the degree of environmental pollution and the degree of economic spatial agglomeration, while environmental regulation can effectively restrain the utilization of mineral resources in the region and the near adjacent areas. Through the analysis results of synergistic mechanism, it can be seen that the improvement of industrial structure alleviates the impact of the utilization of mineral resources on environmental pollution and the restraining effect of environmental regulation on it. The improvement of technological progress has improved the environmental pollution caused by the utilization of mineral resources in this area, but intensified the environmental pollution degree of the utilization of mineral resources in neighboring areas. In the current technological level, the neighboring areas will consume more mineral resources to meet a certain demand, thus aggravating the environmental pollution of the utilization of mineral resources in the neighboring areas. The enhanced intensity of government management significantly improves the pollution control efficiency of environmental regulation on the utilization of mineral resources.

2011 ◽  
Vol 282-283 ◽  
pp. 350-353
Author(s):  
Jian Bao Chen ◽  
Jing Hui Duan ◽  
Xie Bin Chen

By using non-parametric additive panel model, this paper empirically studied the impact of economic development to environmental pollution in China. Our research results are summarized as follows: The relationship between environmental pollutants and economic variables including the industrial structure, technological level and pollution control show mostly inverted U shapes or inverted N shapes.


2021 ◽  
Vol 13 (10) ◽  
pp. 5439
Author(s):  
Chenggang Li ◽  
Tao Lin ◽  
Zhenci Xu ◽  
Yuzhu Chen

With the development of economic globalization, some local environmental pollution has become a global environmental problem through international trade and transnational investment. This paper selects the annual data of 30 provinces in China from 2000 to 2017 and adopts exploratory spatial data analysis methods to explore the spatial agglomeration characteristics of haze pollution in China’s provinces. Furthermore, this paper constructs a spatial econometric model to test the impact of foreign direct investment (FDI) and industrial structure transformation on haze pollution. The research results show that the high-high concentration area of haze pollution in China has shifted from the central and western regions to the eastern region and from inland regions to coastal regions. When FDI increases by 1%, haze pollution in local and neighboring areas will be reduced by 0.066% and 0.3538%, respectively. However, the impact of FDI on haze pollution is heterogeneous in different stages of economic development. FDI can improve the rationalization level of industrial structure, and then inhibit the haze pollution. However, FDI inhibits the upgrading level of industrial structure to a certain extent, and then aggravates the haze pollution. The research in this paper provides an important decision-making basis for coordinating the relationship between FDI and environmental pollution and realizing green development.


Author(s):  
Shi Wang ◽  
Yizhou Yuan ◽  
Hua Wang

Previous studies show that the environmental quality is significantly influenced by corruption and the hidden economy separately. However, what is the impact of their interaction effect on environmental quality? Based on Multiple Indicators Multiple Causes (MIMIC) model, this study calculates the scale of hidden economy in Chinese provinces firstly. Then, we apply the method of spatial econometrics to analyze the interaction effect of corruption and the hidden economy on environmental pollution with China’s provincial panel data from 1998 to 2017. The results indicate that the interaction effect between corruption and hidden economy significantly increases pollutant discharge, suggesting that both anti-corruption and control of the hidden economy may improve environmental quality directly and indirectly.


2021 ◽  
Author(s):  
guangqin Li ◽  
Xubing Fang ◽  
Maotao Liu

Abstract As one of the developing countries, China's export trade mode (ETM) has gradually shifted from processing trade to general trade. Is the deterioration of China's environmental pollution caused by the transformation of ETM? Based on the panel data from 194 cities in China from 2000 to 2016, this paper investigates the impact of ETM transformation on the environmental pollution and its internal mechanism. The results show that: the ETM is gradually shifting from processing trade to general trade, environmental pollution will deteriorate first and then improve, that is, showing a significant “inverted U-shaped” relationship between the transformation of ETM and environmental pollution. Through the robustness test of the threshold, and SYS-GMM model, the results are still valid. The mechanism research shows that the upgrading of industrial structure, energy structure, industrial agglomeration, environmental protection investment and resource allocation are the main mechanism that the transformation of ETM affect environmental pollution. The conclusions of this study can provide empirical evidence for the process that the environmental pollution level of developing countries deteriorated and then improved during the process of transforming from processing export trade to general export trade.


2020 ◽  
Vol 9 (2) ◽  
pp. 145
Author(s):  
Qi Ji

China’s “industrial restructuring” has expanded the proportion of the tertiary industry in the economy and promoted the development of local tourism. The ongoing “industrial structure upgrading” is intended to make the industry bigger and stronger, which will promote the growth of local tourism. As a tourist resort, nature reserves have been attracting a large number of tourists and have great development potential and economic value. Under this situation, various management agencies of nature reserves have successively carried out tourism activities and carried out tourism development and construction. However, there is no doubt that both tourism activities and development will have an impact on the ecological system of nature reserves. The existing legal system of nature reserves in China emphasizes the prohibition of behaviors that directly destroy the ecological environment and ignores the impact of human tourism activities. The continuous increase in the number of tourism in our country, brought on nature reserves of rich tourist income at the same time, a large number of facts show that tourism has become a source of environmental pollution, so it is necessary for tourism environmental pollution the main way to do a summary and its particularity, summing up the basic law of tourism affect the environment, thus provide the basis for strengthening the environmental protection from the point of view of tourism management. The emergence and development of tourism culture is inseparable from the influence of the environment, and tourism culture also affects the environment. The negative effects and negative effects of tourism culture development on the environment are becoming more and more evident, which has aroused people’s general concern. In recent years, the negative impact of tourism and cultural activities on the environment has been paid much attention to by many scholars at home and abroad. This paper discusses the impact of tourism activities on nature reserves, and discusses the causes of this problem, so as to analyze the strategies to ensure the harmony and order of nature reserves in tourism activities.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Shuangliang Yao ◽  
Xiang Su

This paper uses the super-efficiency SBM model to measure the green economic efficiency considering undesired output and analyzes the spatial distribution difference of green economic efficiency; secondly, the nonlinear panel threshold model is used to empirically study the nonlinear relationship between environmental regulations and green economic efficiency, and further analyzed the threshold effect of environmental regulations on the efficiency of green economy and concluded as follows. (1) The green economy efficiency index in the eastern region is mostly more significant than 1, and the green economy efficiency in most provinces in the eastern region has improved. These provinces have higher regional production levels and less environmental pollution. The green economy efficiency of the central region is second only to the eastern region. The green economy efficiency of provinces in the western region except Chongqing is less than 1, indicating that these provinces have insufficient regional production, severe environmental pollution, or extensive resource depletion. (2) The impact of environmental regulations on the efficiency of the green economy presents an inverted “U” shape, with a threshold of 0.5128 for environmental regulations. The impact of the industrial structure on the efficiency of the green economy changes from inhibition to promotion after crossing the threshold of the intensity of environmental regulation, and the degree of opening to the outside world has a complementary effect on the efficiency of the green economy. The impact of urbanization on the efficiency of the green economy changes from promotion to suppression after surpassing the threshold of the intensity of environmental regulations.


2018 ◽  
Vol 53 ◽  
pp. 01033
Author(s):  
Fangqing Yi ◽  
Zenglian Zhang

The environmental and resource constraints on economic growth are increasingly evident. China urgently needs to reshape its economic growth momentum. The increase in green total factor productivity is particularly necessary for the growth of the quantity and quality of the economy. This paper selects the provincial panel data of 30 provinces in China from 2001 to 2015, and establishes a panel exchangeable errors model to analyze the impact of eight indicators on green total factor productivity (GTFP) and verifies its effectiveness. Empirical analysis shows that inter-provincial government competition, environmental regulation, energy consumption, and capital stock have a significant impact on green total factor productivity. The influence of foreign direct investment, industrial structure, and industrialization level on the total factor productivity of green is not significant. Therefore, the government should adopt suitable, flexible and diverse environmental regulation policies, promote energy-saving emission reduction and technology innovations through policies such as taxes and subsidies, strengthen the linkage mechanism between industrial structure upgrading and energy efficiency, to increase green total factor productivity.


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