Research On The Geographic Concentration Measurement And Spatial Temporal Evolution Of The Manufacturing Industry In The Mountainous City Based On GIS

The rational distribution of manufacturing industry is conducive to the local economic development. Making clear the time-space evolution of manufacturing industry in Chongqing city since liberationis of great realistic significance in industrial restructuring. The study of the relationship between the second-digit manufacturing industry and the underlying surface has important reference value for the industrial layout and industry location.Making full use of 3S technology, while based on the establishment of the spatial database of enterprises and institutions of Chongqing Cityand combining the advantages and disadvantages of K Ripley’s function and M function, this paper study the multi-scale spatial agglomeration of different second-digit manufacturing industries in Chongqing. This paper will also improve the traditional M function, and establish the measurement method of industrial geographic concentration and dispersion based on traffic distance. Using ArcGIS space analysis module of the nuclear density and mean center, it analyzes the spatial and temporal evolution characteristics of the manufacturing industry and the second-digit manufacturing industry in Chongqing, and the relationship between manufacturing industry and underlying surface factors. The result will provide data support for the second-digit manufacturing industry of Chongqing in many aspects such as the cultivation of industrial agglomeration, regional industrial development, industrial transfer, industrial structure adjustment and so on,thus be a reference whenregional industrial policies are formulated.The research on the industrial geographic concentration degree of Chongqing City shows that:Using NNI method to determine whether second-digit manufacturing industries cluster is feasible and has a relatively good effect, and the result highly agrees with that of M function. Research shows that all the second-digit manufacturing industries in addition to C16 manifested a cluster distribution, and the agglomeration degree of C40 is the highest, which followed by that of C37, C36, C34.The direct consumption coefficient is used to estimate the spatial correlation strength between industries, and the effect is better. An obvious agglomeration phenomenon can be seen among the industries of highly direct consumption coefficient. The five pairs of second-digit manufacturing industry which has the highest direct consumption coefficient are C16 and C22, C17 and C18, C26 and C28, C29 and C41, C32 and C38.In practical application, the K Ripley’s function and M function should be considered simultaneously. The Ripley’s K function is easier to find out the distance of maximum agglomeration degree, while the M function can better determine the maximum distance among industries in the situation when industries transit from agglomeration to scatter. The K Ripley’s function cannot be used to calculate the degree of convergence between the inter-industry but the M function can. The results of analysis show that the maximum value of ?K can be used as the maximum distance of agglomeration. The agglomeration degree of most second-digit manufacturing industries begins to decrease at about 35 km, and the minimum distance which the maximum ?K correspond to belongs to C39, C24 and C28. Most of the M function of the second-digit manufacturing industry tends to be stable at about 35 km, and is close to 1. At about 100 km, most of the second-digit manufacturing industries are changed into discrete distribution. The inter-industry analysis shows that there is a unilateral agglomerationphenomenon in the industries of highly direct consumption coefficient. As there does not necessarily exist better spatial agglomeration in industries which are generally accepted by the adient spatial positional, using M function to determine the degree of spatial agglomeration between the two industries can be strongly scientific.Study on the spatiotemporal evolution characteristics and mechanisms of manufacturing in Chongqing shows that:The manufacturing industries mainly located in the urban core function area, urban function expansion area and urban development area. The highest kernel densities of seven periods are 0.02, 0.22, 0.49, 0.99, 5.16, 10.83 and 26.51, all located in the urban core function area and urban function expansion area. The exponential growth of nuclear density reflects that the spatial distribution of manufacturing industry showed accelerating concentration trend. The highest density of second-digit manufacturing industries was C17, and followed by C35. The lowest density of second-digit manufacturing industries was C28, then C25. The average center of manufacturing industry was moved back and forth in the northeast and southwest directions. There are three change types of the average center of second-digit manufacturing industry, which are the urban deflection type, the withdrawal from city type and the city dependent type. The research shows that different types of second-digit manufacturing industry display variant sensitivity to different underlying surface factors. The sensitivity of the whole manufacturing industry, C23 and C39 to the underlying surface factors shows a trend of decrease in the Z3 period. Through the comprehensive analysis, it is found that the sensitivity of manufacturing industry to elevation, slope, roadis higher than relief amplitude and river system. The study finds that the range of the suitable manufacturing industry of elevation, slope, relief amplitude, roads and river systems are 200-500 m, 0-20, 0-70 m, 1-200 m and 0-6000 m. This research has important scientific value in enriching the related fields of the spatial and temporal distribution of industry, and the research ideas and methods could provide the reference for the relevant research, while the results could be reference for the government macro decision-making.