Study On The Regional Logistics Capability And Its Development In Coordination With Regional Economy

With the acceleration of the global economic integration, the competitions among enterprises and supply chains have already transformed into regional competition. In order to maintain competition advantage and achieve the high-speed development of the regional economy, regions need to make better use of logistics resources and make regional logistics capability (RLC), which is formed by logistics resources, become the powerful impetus to the high-speed development of regional economy. Therefore, the study on RLC has an important realistic significance and strategic meaning.In this dissertation, the author chooses the RLC as the research object, study thoroughly and systematically on its problems of theory structure, quantization, forecast and two dialectical problems of its development in coordination with regional economy, the problems of how to achieve regional economic growth in the quickstep by improving the value of key elements of RLC and strengthen RLC to the greatest extent by using economic means. The original works and main contributions of this dissertation can be summarized as follows:1. The author reviews the existing literatures of RLC at first, analyzes and summaries the relative research situations and results systematically, points out the main problems of existing study on RLC and its development in coordination with regional economy at present, and puts forward the research thoughts and theoretical framework of this dissertation.2. The author thoroughly analyzes and compares the major views of scholars both at home and abroad on RLC, so as to understand and grasp the essence which is covered by the concept in-depth. On this basis, the author explains the connotation of RLC, gives a precise definition of RLC, and analyzes its characteristics. Then according to the thoughts of system theory, the author breaks RLC down into the four basic key elements of supporting capability of infrastructure, supportability of information system, management operational capability, and supportive capability of development environment, and further decomposes each basic key element into different qualitative and quantitative indexes conforming to the constructing principle of index system, scientifically sets up a three-layer quantitative index system with strong commonality, and establishes the theoretical system of RLC.3. The author studies the problem of quantization of RLC. On the basis of the quantitative index system of RLC, and aiming at the uncertainty and fuzziness of some quantitative indexes and incompatibility of index each other, the dissertation sets up a quantitative model of RLC based on Euclid approach degree of fuzzy matter-element by adopting matter-element theory and combining it with fuzzy set and the concept of Euclid approach degree; calculates the weight coefficient of indexes by using the method of comprehensive integration granting weight, which reflects the subjective and objective information comprehensively; verifies the practicability and rationality of the quantitative model by means of case-study.4. The author studies the effective forecasting method of RLC. In order to get reasonable and accurate results in the short-term forecast, the dissertation adopts a method of combination forecasting, which combines GM of grey system theory with radial basis function(RBF) neural network together effectively and gives full scope to their double-edged advantages that the grey system can construct forecasting model with poor information and neural network is capable of high non-linear mapping uniquely, constructs a new kind of non-linear combined forecasting model of RLC based on grey RBF neural network, and verifies the validity of the forecasting model by means of case-study.5. The author studies the problem of how to achieve regional economic rapid growth by improving the value of key elements of RLC. The dissertation breaks the relationship of regional economic and RLC down into the relationship of regional industrial economy and RLC, and further into the relationship of regional industrial economy and key elements of RLC, builds a grey control system of RLC and industrial economy. In the control model, the dissertation adopts the model GM(1,N) which is applicable to multi-factor analysis, chooses three key elements of RLC as control variables, and regional industrial gross domestic product(GDP) which represent industrial economic scale as state variables, fully reveales the relation between regional industrial economy and key elements of RLC.6. The author studies the problem of how to improve RLC to the greatest extent by using economic means of investment. In the first place, the dissertation sets up a nonlinear programming (NLP) optimization model of RLC with constraint conditions on industrial investment; Then constructs the investment structural optimization model of RLC based on RBF neural network by using RBF neural network which maps complex nonlinear relation between RLC and industrial investment; Finally, solves the model by improved genetic algorithm(IGA),and obtains the approximate optimal solution of the optimization problem ,as well as the optimal direction of investment structural.This dissertation adopts the study methods of qualitative analysis combined with quantitative analysis and mathematical modeling combined with empirical analysis, which embodies the principles of integrating theory with practice. The results of study have certain pioneering meanings for theoretical exploration of synergistic development of the regional logistics and regional economy of our country; they also have good theoretical direction and practical reference guide for the solution of realistic problems.