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The Correlation Of Scientific And Technological Progress And Economic Growth In Zhejiang

Posted on:2011-07-03Degree:MasterType:Thesis
Country:ChinaCandidate:X Y LiFull Text:PDF
GTID:2189360305468829Subject:Statistics
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Science and technology is the primary productive force, and it becomes more and more important in economic growth. Many countries invest much in the development of science and technology including China. Zhejiang is the economically developed province in China. In order to find out the status of the scientific and technological progress and economic development of Zhejiang, also to study how harmonious the science and economics are developed with each other, the methods of the factor disposing and the gray incidence entropy are used in detail analysis in this dissertation.First, the inflow of scientific and technological progress and economic growth from 1990 to 2007 is described in this dissertation. Also the contrastive analysis with the average level of China,Jiangsu and Shanghai province in some indexes is made. The economic development of Zhejiang province is analyzed by the indicators of per-capita GDP, per-capita disposable income of urban residents, per-capita net income of rural residents, the Engel coefficient, the Gini coefficient and other ones. The scientific and technological development is researched through some indicators in three areas of Zhejiang:industrial enterprises above designated size, universities and high-tech industries. It is said that the science and technology and economic in Zhejiang are well developed, far above the average of China but lower than Jiangsu and Shanghai province.Second, the productive function is set up where industrial structure, human capital investment, physical capital and labor input are taken into account and the coefficient of potential effect is added. Then the function is disposed in this dissertation using the method of factor disposing. And the efficiency of the elements is analyzed. Thus the contributions of the factors to the economic growth are calculated. The main conclusions are as followed:1, the efficiency of the elements increases every year, especially the labor force of the first industry; 2, the contribution of the scientific and technological progress is on the higher flight, and it can increase more in the future; 3, the element of the structural adjustment is on the greatest contribution to economic growth; 4, the allocation of resources restrict the economic development to a large extent and affect it negatively; 5, the cross impact of total factor input and total factor productivity on economic growth can not be ignored and can not be considered as an error term.Third, two subsystems is established in this paper, one is the scientific and technological progress and the other is the economic development. And then the coordination degree model and the grey incidence entropy model are used to measure the coordination degree and the order degree of these two subsystems and the compound system. It is showed that it's more accordant when using the grey incidence entropy to explain the actual situation of Zhejiang province. In this paper the grey incidence entropy model is improved and the application in studying the order degree between two systems is expanded. It is summed up that:1, the two subsystems themselves are well developed; 2, the order degree of compound system is low. The two subsystems aren't coordinated with each other, mostly because the speed of the scientific and technological progress related to the economic growth is too slow, the input of the science and technology is too less to catch up with the need that can be coordinated with the economic growth.So it is suggested that the government should increase the support of the science and technology, increase the financial support and labor input regarding talent resources, adjust industrial structure, transfer the labor force to the third industry, and optimize the resource regrouping etc.
Keywords/Search Tags:Scientific and Technological Progress, Economic Growth, Factor Dispose, Grey Incidence Entropy, Order Degree
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