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Abstract:
As a part of National Major Strategy, the integration in Beijing-Tianjin-Hebei region has aroused increasing public attention. To further promote the pace of integration process, it is prior to solve the problems of environmental degradation and resource scarcity. Beijing, as the core of the economic circle in the integration, plays a more crucial role in further solving environmental and resource problems, while there is still a long way to go to improve the environmental quality and enhance living conditions of people. Economy-wide material flow analysis (EW-MFA) could be adopted to explore the relationships among economic development, resource consumption and environmental degradation, providing scientific instructions for solving problems related to environment. In this paper, the metabolic model of the throughput in Beijing was established by applying EW-MFA, and the metabolic flux, metabolic intensity and metabolic trends of energy, resources and pollutants from 1992 to 2014 was analyzed. There was a general upward trend in material input and output of Beijing from 1992 to 2014. Minerals and fossil fuels were the major parts of its material output. Influenced by social and economic development, the tendency of material input in Beijing showed a pattern of initial rise and then decline. Meanwhile, the efficiency of Beijing's material metabolism had been improved continually. In order to tackle the resource and environment problems in Beijing, the traditional development concept of solely pursuing material wealth while ignoring impacts on environment needs to be changed. Continuous promotion of technological innovation and adjustment of industrial structure is a possible way to achieve sustainable social and economic development. © 2017, Science Press. All right reserved.
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Source :
Acta Scientiae Circumstantiae
ISSN: 0253-2468
Year: 2017
Issue: 8
Volume: 37
Page: 3220-3228
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count: 15
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 4
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