Evaluation and optimization of the spatial organization of the petrochemical industry in China

doi:10.1007/s11442-013-1001-2

Abstract

Abstract:

The spatial organization of the Chinese petrochemical industry was optimized according to the status of development of the industry employing linear programming and ArcGIS spatial analysis tools. We first identified the indexes of the spatial organization of the petrochemical industry and established a comprehensive evaluation index system that includes four major categories and 11 indicators. The weight of each index was then determined by the analytical hierarchy process. Afterward, taking the 337 Chinese prefecture-level administrations as basic units and scientifically evaluating the potential comprehensive layout coefficients of the cities, 151 prefecture-level administrative units were selected as the basis for the choice of optimization sites with a linear programming model. Secondly, using the 151 prefecture-level administrative units and the maximum-coverage model, the optimal number and spatial distribution of refineries were identified for service radii of 100, 200 and 300 km. Thirdly, considering the actual distribution of China’s refineries, general rules for the number of refinery layout points and objective values were summarized, and 52 refinery layout points were selected for China. Finally, with ArcGIS spatial analysis tools, the spatial effect of the 52 optimal refinery layout points was simulated for the service scope and socioeconomic factors respectively, and the GDP and population data for each refinery layout point were then extracted within the service scope. On this basis and with estimation of the intensity of crude-oil consumption, final results were obtained for the optimal spatial organization of the Chinese refining capacity and ethylene production capacity.

Key words: petrochemical industry, spatial organization, layout optimization, maximum coverage model, comprehensive layout coefficient, spatial effect

LIU He, JIN Fengjun, LIU Yi, DING Jinxue, XU Xu. Evaluation and optimization of the spatial organization of the petrochemical industry in China[J].Journal of Geographical Sciences, 2013, 23(1): 163-178.

References

Alan T Murray, Morton E O’Kelly, 2002. Assessing representation error in point-based coverage modeling. Geographical System, (4): 171-191.
Alan T Murray, Morton E O’Kelly, Richard L Church, 2008. Regional service coverage modeling. Computers & Operations Research, 35: 339-355.
Chapman K, 1973. Agglomeration and linkage in the United Kingdom petrochemical industry. Transactions of the Institute of British Geographers, 60: 33-68.
Chapman K, 1974. The structure and development of the oil-based industrial complex at Grangemouth. Scottish Geographical Magazine, 90(2): 98-109.
Chapman K, 1991. The International Petrochemical Industry: Evolution and Location. New York: Basil Blackwell Inc.
Church R L, ReVelle C S, 1974. The maximal covering location problem papers. Regional Science Association, 32: 101-108.
Dienes L, 1969. Locational Factors and Locational Developments in the Soviet Chemical Industry. Chicago: The University of Chicago Press.
Grant W, Paterson W, Wllltston C, 1988. Government and the Chemical Industry: A Comparative Study of Britain and West Germany. Oxfoul: Clarendon Press.
He Rongtian, 1995. Study on the 45 years evolution of industrial distribution in China. Journal of Fujian Normal University (Philosophy and Social Sciences Edition), (2): 1-7. (in Chinese)
Jason H W, Henry W Y, 2000. Strategies for global competition: transnational chemical firms and Singapore’s chemical cluster. Environment and Planning A, 32(5): 847-869.
Jayarethanam P, 2006. Importance of clusters in industry development: A case of Singapore’s petrochemical industry. Asian Journal of Technology Innovation, 14(2): 1-27.
Jin Fengjun, 2007. Research on spatial organization and efficiency of economic geography and its significance. World Regional Studies, 16(4): 55-59. (in Chinese)
Li Bingren, 1982. Location issues of China’s refining industry. Economic Geography, 2(2): 109-113. (in Chinese)
Liang Rencai, 1982. Introduction to the Layout of Chemical Industry. Beijing: Science Press. (in Chinese)
Liu He, Liu Yi, 2011. A literature review on spatial organization of petrochemical industry. Progress in Geography, 30(2): 157-163. (in Chinese)
Liu Zaixing, 1981. Science of Industrial Distribution in China. Beijing: China Renmin University Press. (in Chinese)
Mark S Daskin, Susan H Owen, 2003. Location models in transportation. International Series in Operations Research & Management Science, 56(5): 321-370.
Milan V, 2009. Global changes and new trends within the territorial structure of the oil, gas and coal industries. Acta Oeconomica Pragensia, 2009(1): 45-59.
Molle W, 1984. Oil refineries and petrochemical industries in Europe. GeoJournal, 9(4): 421-430.
Molle W, Wever E, 1984. Oil Refineries and Petrochemical Industries in Western Europe. Aldershot: Gower.
Morrill R L, 1974. The Spatial Organization of Society. Massachusetts: Duxbury Press.
Morton E O’Kelly, 1998. A geographer’s analysis of hub-and-spoke networks. Journal of Transport Geography, (3): 171-186.
Peters E H, 1966. New breed of ethylene plants cuts manufacturing costs. Oil and Gas Journal, 21(3): 94-97.
Qian Bozhang, 2002. Development strategy of international petrochemical companies in the new century. Modern Chemical Industry, 22(4): 55-58. (in Chinese)
Rahman S U, Smith D K, 2000. Use of location-allocation models in health service development planning in developing nations. European Journal of Operational Research, 123(3): 437-452.
Shanafelt R E, 1977. The Baton Rouge-New Orleans petrochemical industrial region: A functional region study
[D]. Louisiana State University.Wei Xinzhen, 1982. Industrial Geography. Beijing: Peking University Press. (in Chinese)

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