制造业新建企业区位选择——来自284个地级市的微观数据
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摘要
本文以284个地级市作为备选空间单位,利用负二项回归模型,结合新型工业化与信息化水平迅速发展的时代背景,深入探讨了2005—2013年中国制造业新建企业区位选择的影响因素。主要结论表明,国内经济环境、科技水平和信息化三大因素对新制造企业选址具有重要影响,然而,不同地区企业选址的影响因素差异很大。沿海东部地区依托优良的经济环境与较高的科技与信息化水平强有力地吸引着新建企业落户;中部地区凭借产业集聚的推动、对外开放进程的深化与科技水平的提升,吸引着企业进行区位选择;资金投入是西部地区企业区位选择最重要的影响因素。
Taking 284 prefecture-level cities as space units,this paper analyzes the factors that influence the location choices of new manufacturing enterprises by using negative binomial regression model,within a period of rapid advancement in industrialization and informatization level. The major conclusion is that domestic economic atmosphere,scientific and technological level and informatization are the most important factors for the location choices of these enterprises. Furthermore,these factors vary greatly for enterprises in different locations. Eastern coastal areas have strong appeal to many innovative enterprises through its sound economic atmosphere and relatively high level of technological and informatization level. The attraction of central China for manufacturing enterprises is attributed to the promotion effect of industrial aggregation,depth of progress of opening up and technological level. For western China,the input of capital is the key to that.
Taking 284 prefecture-level cities as space units,this paper analyzes the factors that influence the location choices of new manufacturing enterprises by using negative binomial regression model,within a period of rapid advancement in industrialization and informatization level. The major conclusion is that domestic economic atmosphere,scientific and technological level and informatization are the most important factors for the location choices of these enterprises. Furthermore,these factors vary greatly for enterprises in different locations. Eastern coastal areas have strong appeal to many innovative enterprises through its sound economic atmosphere and relatively high level of technological and informatization level. The attraction of central China for manufacturing enterprises is attributed to the promotion effect of industrial aggregation,depth of progress of opening up and technological level. For western China,the input of capital is the key to that.
引文
[1]SRIDHAR K S,WAN G. Firm location choice in cities:evidence from China,India,and Brazil[J].China economic review,2010,21(1):113-122.
[2]MEIJERS E,HOEKSTRA J,LEIJTEN M,et al. Connecting the periphery:distributive effects of new infrastructure[J].Journal of transport geography,2012,22:187-198.
[3]JOFREE-MONSENY J,MARN-LPEZ R,VILADECANS-MARSAL E. The determinants of localization and urbanization economies:evidence from the location of new firms in Spain[J].Journal of regional science,2014,54(2):313-337.
[4]BOTTAZZI G,GRAGNOLATI U. Cities and clusters:economy-wide and sector-specific effects in corporate location[J]. Regional studies,2015,49(1):113-129.
[5]FRENKEN K,CEFIS E,STAM E. Industrial dynamics and clusters:a survey[J].Regional studies,2015,49(1):10-27.
[6]林理升,王晔倩.运输成本、劳动力流动与制造业区域分布[J].经济研究,2006(3):115-125
[7]路江涌,陶志刚.中国制造业区域聚集及国际比较[J].经济研究,2006(3):103-114.
[8]陈良文,杨开忠.产业集聚、市场结构与生产率———基于中国省份制造业面板数据的实证研究[J].地理科学,2008,28(3):325-330.
[9]袁丰,魏也华,陈雯,等.苏州市区信息通讯企业空间集聚与新企业选址[J].地理学报,2010,65(2):153-163.
[10]陈建军,陈菁菁.生产性服务业与制造业的协同定位研究———以浙江省69个城市和地区为例[J].中国工业经济,2011(6):141-150.
[11]刘修岩,何玉梅.集聚经济、要素禀赋与产业的空间分布:来自中国制造业的证据[J].产业经济研究,2011(3):10-19.
[12]韩峰,柯善咨.追踪中国制造业集聚的空间来源:基于马歇尔外部性与新经济地理的综合视角[J].管理世界,2012(10):55-70.
[13]陈松林,陈进栋,韦素琼.福建省综合交通可达性格局及其与制造业空间分布的关系分析[J].地理科学,2012,32(7):807-815.
[14]郭嘉仪,张庆霖.省际知识溢出与区域创新活动的空间集聚———基于空间面板计量方法的分析[J].研究与发展管理,2012,24(6):1-11.
[15]石敏俊,杨晶,龙文,等.中国制造业分布的地理变迁与驱动因素[J].地理研究,2013,32(9):1708-1720.
[16]原?,李国平,孙铁山,等.中国制造业重心的空间分布变化特征与趋势研究———基于2001年和2009年数据的实证分析[J].人文地理,2015(5):99-105.
[17]叶炜,林善浪.高速公路的发展是否促进了地区制造业产业集聚?———基于中国高速公路网与制造业微观企业数据的实证研究[J].经济经纬,2017(4):8-12.
[18]CHENG S,STOUGH R R. Location decisions of Japanese new manufacturing plants in China:a discrete-choice analysis[J].The annals of regional science,2006,40(2):369-387.
[19]DEVEREUX M P,GRIFFITH R,SIMPSON H. Firm location decisions,regional grants and agglomeration externalities[J].Journal of public economics,2007,91(3):413-435.
[20]CAMPBELL N D,ROGERS T M,HERIOT K C. The economic freedom index as a determinant of firm births and firm deaths[J].Southwest business&economics journal,2007,16.
[21]BACHER,ULRICH H,BRUELHART. Progressive taxes and firm births[J]. International tax&public finance,2013,20(1):129-168.
[22]叶素云,叶振宇.中国工业企业的区位选择:市场潜力、资源禀赋与税负水平[J].南开经济研究,2012(5):94-110.
[23]范红忠,胡草.政府管制与新建企业选址———来自中国工业企业的微观证据[J].经济经纬,2017(5):81-86.
[24]BARRIOS S,BERTINELLI L,STROBL E,et al. Spatial distribution of manufacturing activity and its determinants:a comparison of three small European countries[J].Regional studies,2009,43(5):721-738.
[25]郭嘉仪,张庆霖.省际知识溢出与区域创新活动的空间集聚———基于空间面板计量方法的分析[J].研究与发展管理,2012,24(6):1-11.
[26]周浩,陈益. FDI外溢对新创企业选址的影响[J].管理世界,2013(12):78-88.
[27]周浩,郑越.环境规制对产业转移的影响———来自新创制造业企业选址的证据[J].南方经济,2015,33(4):12-26.
[28]陈曦,席强敏,李国平.城镇化水平与制造业空间分布———基于中国省级面板数据的实证研究[J].地理科学,2015,35(3):259-267.
[29]高菠阳,刘卫东,Glen,等.土地制度对北京制造业空间分布的影响[J].地理科学进展,2010,29(7):878-886.
[30]LIST J A,MCHONE W W. Measuring the effects of air quality regulations on“dirty”firm births:Evidence from the neo-and matureregulatory periods[J].Papers in regional science,2000,79(2):177-190.
[2]MEIJERS E,HOEKSTRA J,LEIJTEN M,et al. Connecting the periphery:distributive effects of new infrastructure[J].Journal of transport geography,2012,22:187-198.
[3]JOFREE-MONSENY J,MARN-LPEZ R,VILADECANS-MARSAL E. The determinants of localization and urbanization economies:evidence from the location of new firms in Spain[J].Journal of regional science,2014,54(2):313-337.
[4]BOTTAZZI G,GRAGNOLATI U. Cities and clusters:economy-wide and sector-specific effects in corporate location[J]. Regional studies,2015,49(1):113-129.
[5]FRENKEN K,CEFIS E,STAM E. Industrial dynamics and clusters:a survey[J].Regional studies,2015,49(1):10-27.
[6]林理升,王晔倩.运输成本、劳动力流动与制造业区域分布[J].经济研究,2006(3):115-125
[7]路江涌,陶志刚.中国制造业区域聚集及国际比较[J].经济研究,2006(3):103-114.
[8]陈良文,杨开忠.产业集聚、市场结构与生产率———基于中国省份制造业面板数据的实证研究[J].地理科学,2008,28(3):325-330.
[9]袁丰,魏也华,陈雯,等.苏州市区信息通讯企业空间集聚与新企业选址[J].地理学报,2010,65(2):153-163.
[10]陈建军,陈菁菁.生产性服务业与制造业的协同定位研究———以浙江省69个城市和地区为例[J].中国工业经济,2011(6):141-150.
[11]刘修岩,何玉梅.集聚经济、要素禀赋与产业的空间分布:来自中国制造业的证据[J].产业经济研究,2011(3):10-19.
[12]韩峰,柯善咨.追踪中国制造业集聚的空间来源:基于马歇尔外部性与新经济地理的综合视角[J].管理世界,2012(10):55-70.
[13]陈松林,陈进栋,韦素琼.福建省综合交通可达性格局及其与制造业空间分布的关系分析[J].地理科学,2012,32(7):807-815.
[14]郭嘉仪,张庆霖.省际知识溢出与区域创新活动的空间集聚———基于空间面板计量方法的分析[J].研究与发展管理,2012,24(6):1-11.
[15]石敏俊,杨晶,龙文,等.中国制造业分布的地理变迁与驱动因素[J].地理研究,2013,32(9):1708-1720.
[16]原?,李国平,孙铁山,等.中国制造业重心的空间分布变化特征与趋势研究———基于2001年和2009年数据的实证分析[J].人文地理,2015(5):99-105.
[17]叶炜,林善浪.高速公路的发展是否促进了地区制造业产业集聚?———基于中国高速公路网与制造业微观企业数据的实证研究[J].经济经纬,2017(4):8-12.
[18]CHENG S,STOUGH R R. Location decisions of Japanese new manufacturing plants in China:a discrete-choice analysis[J].The annals of regional science,2006,40(2):369-387.
[19]DEVEREUX M P,GRIFFITH R,SIMPSON H. Firm location decisions,regional grants and agglomeration externalities[J].Journal of public economics,2007,91(3):413-435.
[20]CAMPBELL N D,ROGERS T M,HERIOT K C. The economic freedom index as a determinant of firm births and firm deaths[J].Southwest business&economics journal,2007,16.
[21]BACHER,ULRICH H,BRUELHART. Progressive taxes and firm births[J]. International tax&public finance,2013,20(1):129-168.
[22]叶素云,叶振宇.中国工业企业的区位选择:市场潜力、资源禀赋与税负水平[J].南开经济研究,2012(5):94-110.
[23]范红忠,胡草.政府管制与新建企业选址———来自中国工业企业的微观证据[J].经济经纬,2017(5):81-86.
[24]BARRIOS S,BERTINELLI L,STROBL E,et al. Spatial distribution of manufacturing activity and its determinants:a comparison of three small European countries[J].Regional studies,2009,43(5):721-738.
[25]郭嘉仪,张庆霖.省际知识溢出与区域创新活动的空间集聚———基于空间面板计量方法的分析[J].研究与发展管理,2012,24(6):1-11.
[26]周浩,陈益. FDI外溢对新创企业选址的影响[J].管理世界,2013(12):78-88.
[27]周浩,郑越.环境规制对产业转移的影响———来自新创制造业企业选址的证据[J].南方经济,2015,33(4):12-26.
[28]陈曦,席强敏,李国平.城镇化水平与制造业空间分布———基于中国省级面板数据的实证研究[J].地理科学,2015,35(3):259-267.
[29]高菠阳,刘卫东,Glen,等.土地制度对北京制造业空间分布的影响[J].地理科学进展,2010,29(7):878-886.
[30]LIST J A,MCHONE W W. Measuring the effects of air quality regulations on“dirty”firm births:Evidence from the neo-and matureregulatory periods[J].Papers in regional science,2000,79(2):177-190.