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Development Efficiency Study Of Coastal Economic Development Zone Based On SFA And RFA

Posted on:2012-12-15Degree:DoctorType:Dissertation
Country:ChinaCandidate:Q NiFull Text:PDF
GTID:1119330362453776Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
After 20 years of development and construction, national development zones are playing important role in promoting regional economic development, expand opening up, attracting large multinational investment projects and formation of industrial agglomeration. However, with the strengthening of economic globalization, the international transfer of industry expansion, the formation of a new continued and deepened international division of labor, especially in post-crisis era, national economic development zones are facing the challenges such as bottlenecks highlighted, homogenization of the industrial structure and weakening of the advantages of policy. Under this international and domestic environment, to achieve good, coordinated and sustainable development, national economic development zones must adjust the economic structure, improve production efficiency, and change the mode of economic development to improve the quality of the development model.This thesis put the development efficiency as the focus of the study. With calculating the technical efficiency and total factor productivity change and its impact factors, the nature of economic growth was pursuit. Furthermore, the ways to improve the quality of efficiency and economy were put forward.Based on the development of national economic development zones, by setting the four scenarios, we use stochastic frontier methods to evaluate the technical efficiency of national economic development zones with GDP, industrial output, export and taxes as indicators. Then, using non-parametric Malmquist index model method, based on the regional GDP, labor force, capital investment and the industrial land area of the 31 national development zones, total factor productivity were evaluated. Then with the random forests machine learning algorithm, based on the economic and social development statistical data in 2007 and 2008, the relative efficiency of different factors on the technical efficiency and total factor productivity were analyzed with technical efficiency and total factor productivity as dependent variable and other various factors as independent variables. Finally, as an exmaple, the Yangpu Economic Development Zone's economic amount was predicted with several methods. Last combined with China's coastal economic development zone of technical efficiency, total factor productivity measure and its impact factor analysis; we proposed the concrete measures to improve production efficiency of Yangpu Economic Development Zone.
Keywords/Search Tags:National Economic Development Zone, Technology Efficiency, Total Factor Productivity, Stochastic Frontier, Malmquist Index, Random Forest Algorithm
PDF Full Text Request
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