基于DO指数的上海市制造业空间集聚测度研究
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摘要
产业集聚程度的定量测度是地理学和产业经济领域的基本问题。本文针对上海市主要三位数制造行业,利用基于点对距离的DO指数,计算了其在不同空间尺度的集聚程度。结果表明,电子信息、汽车、生物医药等高技术行业集聚程度最大;建材、金属加工等传统行业分散程度最大;通用设备、电气机械制造等支柱行业不具有显著的集聚或分散趋势。呈现集聚性的行业,在集聚尺度范围、最大集聚尺度方面存在差异性。集聚测度结果对于分类实施产业空间形态调整具有一定启示意义。
Quantitative measurement of industrial spatial agglomeration is primary issue in the field of geography and industrial economics.In this paper,agglomeration level of major three-digit manufacturing sectors in Shanghai at different spatial scales is calculated via DO index,a point-to-point distance-based model.The results show that,some high-tech sectors such as electronic information,automobile and biomedicine,are most localized.Some traditional sectors such as building materials and metal processing,are most dispersed.Some pillar sectors such as general equipment,electrical machinery manufacturing,are not significant localized or dispersed.For localized sectors,there are some differences in the scale range of localization and the scale of maximum localization.The results have some significance for spatial distribution adjustment of manufacturing sectors according to patterns of localization.
Quantitative measurement of industrial spatial agglomeration is primary issue in the field of geography and industrial economics.In this paper,agglomeration level of major three-digit manufacturing sectors in Shanghai at different spatial scales is calculated via DO index,a point-to-point distance-based model.The results show that,some high-tech sectors such as electronic information,automobile and biomedicine,are most localized.Some traditional sectors such as building materials and metal processing,are most dispersed.Some pillar sectors such as general equipment,electrical machinery manufacturing,are not significant localized or dispersed.For localized sectors,there are some differences in the scale range of localization and the scale of maximum localization.The results have some significance for spatial distribution adjustment of manufacturing sectors according to patterns of localization.
引文
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[9]张延吉,张磊,吴凌燕.流动商贩的空间分布特征及与正规商业的分布关系——基于距离测度方法的数量研究[J].地理学报,2017,72(4):618-632.
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[15]上海市经济和信息化委员会.上海产业和信息化发展报告-开发区[M].上海:海科学技术文献出版社,2014.
[2]C He,F Pan,T Chen Research progress of industrial geography in China[J].Journal of Geographical Sciences,2016,26(8):1057-1066.
[3]SS Rosenthal,WC Strange Evidence on the nature and sources of agglomeration economies//Handbook of Regional and Urban Economics(vol.4)[M].Amsterdam:Elsevier North-Holland,2012:53-101.
[4]A Briant,PP Combes,M Lafourcade Dots to boxes:Do the size and shape of spatial units jeopardize economic geography estimations?[J].Journal of Urban Economics,2010,67(3):287-302.
[5]G Duranton,HG Overman Testing for localization using micro-geographic data[J].Review of Economic Studies,2005,72(4):1077-1106.
[6]E Marcon,F Puech Evaluating the geographic concentration of industries using distance-based methods[J].Journal of Economic Geography,2003,3(4):409-428.
[7]T Scholl,T Brenner Detecting spatial clustering using a firmlevel cluster index[J].Regional Studies,2016,50(6):1054-1068.
[8]袁海红,张华,曾洪勇.产业集聚的测度及其动态变化——基于北京企业微观数据的研究[J].中国工业经济,2014(9):38-50.
[9]张延吉,张磊,吴凌燕.流动商贩的空间分布特征及与正规商业的分布关系——基于距离测度方法的数量研究[J].地理学报,2017,72(4):618-632.
[10]曾刚.上海市工业布局调整初探[J].地理研究,2001,20(3):330-337.
[11]崔蕴.上海市制造业各行业地理集中度分析[J].城市发展研究,2004,11(6):82-84.
[12]曹玉红,宋艳卿,朱胜清,等.基于点状数据的上海都市型工业空间格局研究[J].地理研究,2015,34(9):1708-1720.
[13]陈小晔,孙斌栋.上海都市区制造业就业格局的演化及影响因素[J].人文地理,2017,32(4):95-101.
[14]BW SILVERMAN.Density estimation for statistics and data analysis[M].London:Chapman and Hall,1986.
[15]上海市经济和信息化委员会.上海产业和信息化发展报告-开发区[M].上海:海科学技术文献出版社,2014.