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Measurement And Comprehensive Evaluation Of New Urbanization Level In Beijing

Posted on:2016-09-09Degree:MasterType:Thesis
Country:ChinaCandidate:J J WangFull Text:PDF
GTID:2279330461999855Subject:Regional Economics
Abstract/Summary:PDF Full Text Request
New urbanization has gradually became the main force of China’s economic growth.We need to construct a evaluation index system to estimate the level of some areas’ urbanization. And it is significant for a region to improve the quality of urbanization development. At the same time, it will offer theoretical reference to promote the stable and healthy urbanization development in other areas of China and rural development policy’s formulation.Upon the particularity of Beijing, this article aims to build a new comprehensive urbanization evaluation index system to estimate the level of new urbanization of 14 districts and 2 counties in Beijing. The composite multiple indexes system includes economy, social, population, life, environment and so on, a total of 16 indexes. Compared with the single index measure, the index system could comprehensively reflect the most important aspects of the new urbanization level, and reflect the comprehensive level of urbanization in each region of Beijing City more really.In the empirical analysis, we use factor analysis, gray correlation and multiple regression. And we concludes that Dongcheng District and other 3 areas are at primary level, Fengtai District and other 2 areas are at the second level, Daxing District and other 4areas are at the third level, Fangshan District and other 3 areas are at the fourth level. In addition, Beijing City is at the second level. According to the research result, we can find the constructed new urbanization evaluation index system has rationality and practical significance. At last, the article explores the reasons for the new urbanization development of Beijing’s districts and counties, and then suggest the new urbanization policy recommendations.
Keywords/Search Tags:index system, New urbanization, factor analysis, correlation, regression analysis, Beijing City
PDF Full Text Request
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