In order to study the regional environmental inequality in Hebei province, this paper selects industrial waste water, SO2, industrial dust emission and industrial energy consumption from 2004—2014 to calculate Hebei's resource environmental Gini coefficient and green contribution coefficient. The resource environmental Gini coefficient of dust emission and energy consumption exceeds the critical point, indicating the existence of regional environmental inequality in Hebei province. Xingtai's green contribution coefficients of the four indexes are less than 1, so is Handan and Tangshan with the exception of industrial water emission, which shows the contribution rate of pollution emission and resource consumption is larger than GDP's contribution rate, and a poor inequality. To improve the situation, Xingtai and Tangshan should adjust their economic developing mode in a coordinated development with resources and environment. This study presents theoretical references for Hebei to rationally allocate its resources and environment.
This paper uses participatory rural appraisal to conduct a survey randomly among 107 household residents in Zudong mining district, Longnan county, Jiangxi province to understand the recognition of rare earth mining's impact on ecological environment, aiming at presenting references for administrators to make related policies. Rare earth mining contributes a little to local resident's income, but they understand and support the nation's protective rare earth mining policies. Most think rare earth mining will largely impact local ecological environment, but less 30% will consider taking measures to prevent harming environment. This paper presents suggestions in dealing with the mining rare earth and environmental protection, respecting local residents' desire, enhancing their supervision, boosting education of rare earth's sustainable development, and requiring mining companies to take responsibility in mine rehabilitation.
This paper, based on Jindong districts actuality, Jinhua city, Zhejiang province, uses expanded Kaya formula to establish carbon dioxide emission growth model of three industries driven by economic effect, energy intensity, sector contribution and carbon dioxide emission intensity, which is employed to study the leading drives of carbon dioxide emission of Jindong during 2010 to 2014. The results show that positive drive is economic effect, and the negative is energy intensity and carbon dioxide emission intensity with the exception of the secondary industry. Reducing carbon dioxide emission is strongly required, but economic development prevails. Mitgated carbon dioxide emission acceleration and emergence of ebb are mainly driven by energy intensity and sector contribution effect, the latter does the most, especially for the third industry. Adjustment of industrial structure will surely push the development of the three industries.
This paper uses regress analysis to find that Qinghais energy selfsupply rate during 1994 to 2005 was stable, rising after that, estimated up to 292.870% in 2020. Under such a rising energy selfsupply rate, this paper studies the carbon dioxide emission by means of system dynamics model in the area. The result shows a higher rate, but the energy consumption structure is not friendly to environment. This paper gives suggestion that first using gas to replace coal, and eventually using clean energy to partially or wholly replace coal and gas so as to reduce the use of coal and gas, which may reach to an ideal objective of neutralized carbon level.
Economy is powered by industrialization and urbanization, both interactively related. Development of industrialization has a direction influence on the quality and speed of urbanization. As for the Liaoning province, the old northeast industrial base, it is of importance to study the influence of industrialization on urbanization. This paper, based on econometric analysis, analyzes the influence extent of indexes of industrialization on urbanization in Liaoning province with results showing that urbanization is positively related to GDP per capita, the added value of the second industry and the disposable income of urban residents per capita, but reversely to income or rural residents per capita. This paper, combined with Liaonings actuality, presents suggestions in better pulling urbanization by industrialization, and further achieving a coordinated development between urbanization and industrialization in Liaoning province.
This paper uses the panel data of Xinjiang's 15 prefectures to analyze the factors of urbanrural residents income variance from production elements to dual system by selecting appropriate spatial econometric model. Due to their different dual systems and production elements, the urbanrural income in Xinjiang's prefectures varies largely. Urbanpreferred policies and higher rural birth rate cast impacts on diminishing the urbanrural income variance. There is a lagging influence of Xinjiang's urbanrural income variance that the income variance in neighboring regions largely influents the local urbanrural income variance.
This paper uses clustering analysis to classify Chinas 39 industrial domains as capitaltechnical intensive industry and labor intensive industry, and applies Chinas 2011 industrial cross section data to study FDIs technical spillover on Chinas labor intensive industry and capitaltechnical industry based on CobbDouglas production function model, with result showing a negative technical spillover on capitaltechnical intensive industry and positive on labor intensive industry. This paper suggests that it should be cautious to adopt the foreign capital in capitaltechnical intensive industry, and maximize the foreign capital in labor intensive industry, aiming at maintaining their coordinated development.
