| Into the 21st century, the global industrial structure upgrading is faced with new trends, the global economy is facing the challenges of the new round of industrial revolution. The face of global economic integration process to speed up the situation, China promulgated and implemented the "second five" plan, put forward further transformation of economic development, optimization and upgrading of industrial structure, to win a place in the new pattern in the industry. As a traditional old industrial base of Liaoning, after thirty years of rapid development, economic development has entered a post-industrial stage, however, upgrading of industrial structure facing many problems, such as natural resources, environmental resource issues outstanding, the internal imbalance of industrial structure, the proportion of state-owned enterprises too big. How is the optimization and upgrading of industrial structure problem in academia, business circles of common concern.First, select the appropriate economic development of the region’s leading industry is a key industrial restructuring is completed. According to Liaoning Province in 2012 input-output table correlation coefficient computing industry, using factor analysis techniques and potential development benefits the industry were evaluated. Starting from the concept of leading industry proposed increase efficiency-sensitivity-the influence of leading industry criterion, based on the correlation coefficient and factor analysis industry to build three-dimensional coordinate and vector distance formula leading industry choice for a comprehensive evaluation of leading industry, and ultimately get nine leading industries. After using the input-output triangulation methods to identify industry clusters, industry clusters drawn on the basis of a directed graph, clear structure of each cluster. Finally get seven industry clusters, namely agriculture and food industry clusters, cluster coal, petrochemical cluster, the textile industry cluster, construction of industrial clusters, equipment manufacturing cluster, non-ferrous metal industry cluster. And found that the cluster development of tertiary industry in Liaoning Province is not enough, the service sector of the secondary industry supporting service capacity is not strong, light and heavy industrial clusters there is no intersection industry is not conducive to the industry chain complementary strengths.Again, combing the industrial structure changes Causes of domestic and international research, discusses the advantages of structural decomposition model. Based on the empirical study of industrial structure in Liaoning Province change factors, mainly analyzes the demand factors (including household consumption, government consumption, investment) and technological progress, the export factor and cluster factors on the change of industrial structure in Liaoning Province, the overall impact,, while sub-sector analysis of the contribution of these factors to change the industrial structure of the industry. DGP structural decomposition Empirical analysis:the impact factors of change in the industry structure, industry clusters factor is a critical factor; technological progress, investment is an important factor; and export factors, government consumption due to the limits of sectoral impact, are less Secondary factors; the consumer demand is relatively minor factor, but the potential is huge. In the dominant industry, industrial cluster and technological progress the main factors petrochemical, coking industry, chemical industry, general equipment manufacturing, electrical appliance and equipment manufacturing, non-metallic mineral products industry are; transportation equipment The main impact of manufacturing and metal smelting and rolling processing industry factor is the investment factor; the main factors in food manufacturing and construction of industrial clusters factor.Finally, make some suggestions for the above analysis. |
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