Decoupling of energy consumption and economic development is a key factor in achieving sustainable regional development. The decoupling relationship between energy consumption and economic development in the Qinghai-Tibet Plateau region is still unclear. This paper uses the logarithmic mean Divisia index (LMDI) decomposition method and Tapio elastic index model to analyze the decoupling degree and driving factors of energy consumption and economic development, and evaluates the decoupling effort level in Qinghai-Tibet Plateau from 2006 to 2016. The results indicate that the Qinghai-Tibet Plateau region showed a weak decoupling as a whole, and that only Tibet experienced expanding negative decoupling in 2006–2007 and an expansion link in 2007–2008. Economic scale is a primary factor that hinders the decoupling of energy consumption, followed by investment intensity and industrial energy structure. The cumulative promotion effect of research and development (R&D) efficiency and intensity and the inhibition effect of investment intensity cancel each other out. With the exception of Tibet and Xinjiang, all provinces in the Qinghai-Tibet plateau have made decoupling efforts. Decoupling efforts made by R&D efficiency contributed the most, followed by energy intensity and R&D intensity. This paper provides policy recommendations for the decoupling of energy consumption experience for underdeveloped regions.
The contradiction between human and land has always been a problem in the process of development and utilization of land resources. Under such circumstances, relevant government agencies put forward the management concept of land resource capitalization. As an effective policy to implement the conception of land resource capitalization, land transfer is of great significance to reforming rural land systems and liberating productivity in poor areas of Tai-hang Mountain in Hebei. However, how to integrate environmental impact and value evaluation of ecosystem services of land transfer in the process of resource capitalization deserves our attention. This paper takes the land transfer of Fuping, Hebei in Tai-hang Mountain as an example, combined with life cycle assessment (LCA), life cycle cost assessment (LCC), and the methods of value evaluation of ecosystem services to quantify the changes of environmental loads, economic costs, and ecosystem services in the whole process and different stages of land resource capitalization. Moreover, through the sensitivity analysis of key environmental indicators, the possibility of restricting environmental costs is explored. This paper studies land transfer from the direction of the cross-discipline and provides a new idea for land resource management.
Qinghai-Tibet Plateau is a typical resource-rich but economically backward region in western China, and it is of great urgency to improve human well-being. Combined with previous scholars’ research and the characteristics of Qinghai-Tibet Plateau, this paper constructs an index system of human well-being including four dimensions: income and consumption, means of production, means of subsistence, and resource acquisition ability. Then, it uses generalized matrix method estimations to measure the influence of energy utilization and economic development on human well-being and makes a regression analysis on the influence of energy utilization and economic development on human well-being in various provinces in this region. It is found that per capita GDP and coke utilization promote the well-being of all dimensions, while the urban registered unemployment rate only promotes the well-being of means of subsistence. The utilization of gasoline and natural gas promotes income and consumption and inhibits the means of subsistence and resource acquisition ability, but they have opposite effects on means of production. The impacts of energy utilization and economic development in different provinces on human well-being are different. This study is of great significance to the related research aiming at improving people’s livelihood and promoting regional development.
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