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Research On Spatial Differentiation Of Metabolism And Its Influencing Factors In Cities Of Yunnan Province

Posted on:2020-03-06Degree:MasterType:Thesis
Country:ChinaCandidate:Z LiuFull Text:PDF
GTID:2417330575985984Subject:Architecture and civil engineering
Abstract/Summary:PDF Full Text Request
Under the background of sustainable development and new urbanization construction,it has become an important topic for the development of the cities in China to understand the metabolic characteristics of the social economy-ecological composite system at the city level.On the one hand,the natural environment of Yunnan Province,as a'double weak'(weak economic development and weak ecological development)province,is relatively poor with different performances for different cities.On the other hand,its overall economy is underdeveloped,and the social and economic basis of each city is relatively weak.In addition,the problems of resource utilization and environmental protection are very prominent.Therefore,it is necessary to conduct a research about spatial differentiation of urban metabolism and the influencing factors of Yunnan Province so as to provide data support for the coordination of prefectural resource allocation and the improvement of the provincial resource utilization and environmental protection policies in Yunnan Province.Yunnan Province is taken as the research sample and three parts of research are mainly conducted in this study.The research contents and conclusions are as below:The first part is the metabolic measure of Yunnan Province.The four different time nodes in 2009,2011,2014 and 2016 are selected and the energy value analysis method is adopted to analyze the metabolism of the cities in Yunnan Province from such two aspects as the energy components of urban metabolic system and the evaluation index of the urban metabolic level.It can be seen that there are significant numerical differences between the energy components of the urban metabolic system and the evaluation index of the urban metabolic level in different cities in Yunnan Province.The second part is the analysis of the spatial differentiation of the metabolism of the cities in Yunnan Province.Based on the urban metabolic measurement data of Yunnan Province,the arcgis natural breakpoint method is adopted to conduct an in-depth analysis of the spatial differentiation characteristics of the energy components of the urban metabolic system in Yunnan Province and the evaluation index of the urban metabolic level in Yunnan Province.It can be seen that the spatial differentiation of the metabolism of the cities in Yunnan Province is very significant and the energy components of the urban metabolic system and the evaluation index of the urban metabolic level have different spatial differentiation characteristics in Yunnan Province.The third part is the study of the influencing factors of urban metabolism in Yunnan Province.The SPSS multi-step stepwise regression method is adopted to select the nine initial influencing factors such as per capita GDP and urbanization rate and carry out recursive exploration on the energy components of the urban metabolic system and the evaluation index of urban metabolism level in Yunnan Province,thus drawing the influencing factors of each component and each indicator and conducting a further research on the specific mechanism.It can be seen that different components and different indicators are influenced by various influencing factors and each influencing factor has different impacting ability on them.The urban metabolic study at the provincial level is conducted and the quantitative methods are adopted in this study to establish an influencing factor system of the urban metabolism in Yunnan Province,which is conducive to provide data support for the provincial government to formulate policies regarding resource utilization and environmental protection at the provincial level.What's more,it also enriches the content of urban metabolic research.
Keywords/Search Tags:Yunnan Province, urban metabolism, spatial differentiation, influencing factors
PDF Full Text Request
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