Research On The Optimization Of The Industrial Structure And The Appraisal Of Competitive Ability

Essentially, the change of industrial structure is the core of modern economic growth. Meanwhile, the economic growth and the industrial structure depend on each other. Researches on the industrial structure always are focused on by many experts. This paper studies the optimizations and the competitive power appraisal of the industrial structure, and takes the industrial structure of Jiangsu Province as the example to carry on the real diagnosis analysis. This paper is divided into five sections.In the first section, an introduction on the research background, theory basses, practical significance, research subject, research method and structure arrangement is elaborated.In the second section, a research on the three industrial economic system based on system dynamics is considered. Firstly, the causal relations among three industrial economic sections of Jiangsu Province are analyzed. The system dynamics model of the three industrial economic sections of Jiangsu Province is established and the parameters for this model are surveyed; next, the running states of the given model are analyzed and forecasted. During this process, the spherical polar coordinate transformation and the circle polar coordinate transformation are used to carry on the pretreatment for the historical data about investment ratio and investment accumulation rate of the three industrial sections, and the consequent data also be simulated by statistical software-SPSS12.0; Finally, sensitivity analysis according to investment ratio and the fixed assets investment accumulation rate of the three industrial sections are made and a better resource distribution plan for the three industrial sections also be given.In the third section, a research on the three industrial economic system based on economic cybernetics is considered. Although, the method of the systems dynamics can deal with the complicated nonlinear economic systems, it fails to manipulate economic system according to scheduled objective. For instance, the method of system dynamics can not be used to solve the stability of economic system, target tracking control under the condition of the exterior disturbance and the control question which consume the smallest economic system input to track the anticipated input goal and so on. This chapter realizes the three questions mentioned above by using modern system cybernetics. First, a nonlinear three industrial economic system is established. Used the method of the partial linearization, a linear economic system model that can describe the short-term economic behaviors of the nonlinear three industrial economic system is obtained. The linear economic system model can be used to study the short-term running state of the three industrial economic systems as feasible. Next, in view of instability of the linear system, the method of feedback control can be used to realize the stability of the linear system. Under the condition of the disturbance outside the system, in order to enable the system still track the anticipated goal stably, the robust control method is adopted in the paper. The robust control can accurately catch the anticipated goal. In order to track the anticipated economy development objectives within a vested period, the theory of quadratic optimal control also be used. This method can achieve output which closes to the anticipated objectives at the price of minimum loss of input.In the fourth section, a research on industry competitive power appraisal of the manufactures based on industrial competitive power appraisal theory and method is considered. The industry competitive powers of the different manufactures in the same region are analyzed from the quantitative visual angle. Firstly, the research tendency to the industrial competitive power and the quite mature competitive power assessment method are analyzed; next, as far as possible, the appraisal indexes system of the industrial competitive power is established. The indexes can be used to describe the industrial competitiveness. By using the method of factor analysis, these indexes are refined and the most appropriate indexes are obtained to determinate the synthesis score of the industrial competitive power. Finally, cluster analysis is used to classify the manufactures of Jiangsu province so that the competitive advantages and the disadvantages of Jiangsu province's manufactures can be discovered and the corresponding political suggestions can be made.In the fifth section, a research on the optimizations and the promotion of industrial competitive power according to the analysis of Jiangsu Province's industrial structure based on the industrial policy is considered. The industrial structures of the Jiangsu Province are analyzed and the suggestion of the industrial structure optimization is proposed.The innovations in the paper involve the following aspect:A three industrial economic system of the Jiangsu Province based on the method of system dynamics is considered. Firstly, the flow of GDP among the three different industrial sections can be regarded as a system. From the analysis of causality among the three industrial sections, a nonlinear three industrial economic system dynamics model is established. Next, sensitivity analyses according to investment ratio and investment accumulation rate of the three industrial sections are carried on, and a better resource distribution plan for the three industrial sections is also given.The feedback control of the three industrial economic system based on the method of the modern cybernetics theory is considered. The analysis on the non-linear three industries economical system is elaborated as following: Used partial linearization, the nonlinear three industrial economic system can be changed into a linear system. This linear system manifest the economic activities of nonlinear system in short-term. Therefore, the linear system can be used to simulate the running status of industrial economical system in short-term. If the running statuses have been forecasted according to the nonlinear system in a future period and this period also has been divided into several appropriate short periods, a feedback control can be exerted in the linear system, so the linear system can achieve the anticipated running status stably in every suitable short-term.The target tracking control of the three industrial economical system based on the method of the modern cybernetics theory is considered. In every suitable short-term, Policy-makers always hope the consumption of the linear system input is as far as possible small during tracking anticipated target. Therefore, the theory of quadratic optimal control is used in the paper.Robust control of the three industrial economic system based on the method of the modern cybernetics theory is considered. Used the linear system, the influence of the disturbance factor outside the system may cause the system deviate the anticipated target. Therefore, the robust control is used in the paper to let the system catch the anticipated target in the condition of the exterior disturbance. Industrial competitive powers of Jiangsu Province's manufactures based on the method of the factor analysis and the cluster analysis is considered. As far as possible, the appraisal indexes reflect the industrial competitive powers are established. Industry competitive powers of Jiangsu Province's manufactures are determined by using the method of the factor analysis. The method of the cluster analysis is also used to carry on the classification to the industrial competitive powers of Jiangsu Province's manufactures. The superiority and the inferiority of the manufactures are explained and the policy suggestions are given.