Optimizing Urban Spatial Structure of Lanzhou Based on Geographic Concentration Method of Industries

Geographic concentration of industries is the regional- ized distribution of some industries in certain areas, which focuses on the ratio of a certain industry to the whole industries (He and Liu, 2006). In this paper we explore the improved M function of geographic concentration that adds the parameter of the number of firms according to the definition of geographic concentration of industries. The spatial distribution of the main manufacturing industries of Lanzhou urban area is evaluated based on it. The results of the evaluation imply that the spatial distribution of the main manufacturing industries is more concentrated than that of others in Lanzhou and it can absorb lots of labor forces. But the incidence, competition ability and density of the distribution of enterprises are different for each single sector, and enterprises with different production features are located closely. And three main problems are discovered. Finally, three countermeasures are put forward: locating the industrial enterprises in urban areas in a proper way through planning and policies; adjusting the industrial structure of the inner city; strengthening the local rearrangement of the existing industrial concentration areas.

Geographic Concentration in China's Manufacturing

This paper empirically examines variations and changes in manufacturing concentration and their determinants in China over the 1980-2003 period with a sample of 26 industries. The analysis indicates that average industrial concentration has increased during the 1990s. Studies show that scale economies and industry policies are important determinants for industries geographical concentration; factor endowments and the location of foreign direct investment are also found to have a positive effect on concentration.

Spatial-temporal Pattern Evolution of Manufacturing Geographical Agglomeration and Influencing Factors of Old Industrial Base:A Case of Jilin Province,China

The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration ratio are used in this paper.Multiple linear regression models are also applied to try to explore the internal driving mechanisms on manufacturing geographical agglomeration.The results show that:1) the manufacturing agglomeration degree of Jilin Province is increasing gradually.The spatial polarization structure is visible;and the central region is the agglomeration area,in addition,the manufacturing industries of Changchun Proper present a trend of dispersion;2) the structure of manufacturing industries has changed,and the concentration ratio of labor-intensive manufacturing industry is declining,while the proportions of technology-intensive and capital-intensive manufacturing industry are relatively rising;3) marketing level,location accessibility,labor resources,capital,science and technology innovation capability,scale economy and the level of globalization affect manufacturing agglomeration with different degree.There are significant differences of the effects about employment,technology,the quality of residents and the export-oriented market on the industrial concentration ratio;4) in the future,the impact of policy and institution,export-oriented market and quality of resident on manufacturing geographical agglomeration pattern will be more profound.

Research on Tourism Agglomeration: A Case Study of Hainan Province, China

On the basis of analyzing yearly data and spatial relationships between tourism spots, star hotels and travel agencies of Hainan Province, and comparing all the methods of measuring industrial spatial agglomeration, this paper chose Hefindahl index, Location Quotient, nearest neighbor index, spatial connection index and geographic concentration index to measure Hainan tourism agglomeration. By applying these methods, total tourism agglomeration, agglomeration of tourism factors and regional agglomeration differences were studied. The results showed that the overall agglomeration increases as time flows, and the eastern part is the most agglomerated, the west takes the second, with the middle ranking the least. The large-scale agglomeration regions are Sanya and Haikou. The influencing factors of Hainan tourism spatial agglomeration were concluded as tourism resource endowment, industrial attributes, geographic conditions, governmental policies and the overall economic development level, etc. In addition, the paper proposed tourism spatial agglomeration modes of Hainan Province at various spatial scales.