长江经济带生产性服务业的空间格局演变与影响因素研究——基于企业进入视角

doi:10.13776/j.cnki.resourcesindustries.20230315.001

摘要/Abstract

摘要： 文章以长江经济带生产性服务业企业数据为基础，构建既能反映宏观层面生产性服务业的“存量”集聚，又能体现微观企业进入“增量”动态性的复合加权集聚指数，然后采用自然断点分级法、空间自相关、标准差椭圆与空间计量模型对2000—2019年长江经济带生产性服务业集聚的时空演变规律与影响因素展开分析。研究结果发现：1）长江经济带生产性服务业整体呈现“西低东高”的集聚分布特征，在时空演变过程中生产性服务业发展的区域差异有所缩小，且生产性服务业局部连片分布趋势与空间异质性特征明显，低水平辐射区主要位于湖南、湖北与四川东部，高水平辐射区以南昌、杭州、上海等城市为核心，重庆、四川、湖北三地出现“核心突出，腹地塌陷”的极化格局；2）长江经济带生产性服务业呈现“东北—西南”的空间分布格局，生产性服务业内部行业则表现为3种空间聚集模式，且与生产性服务业整体相比，多数子行业的空间分布更加集中化，新企业更偏向于在长江下游地区进行集聚；3）人力资本、政府支出、房价、交通通达性和对外开放程度对生产性服务业集聚存在不同程度的影响，其中，核心变量是人力资本与交通通达性。最后，论文提出了基于区域异质性与影响因素分析的促进长江经济带生产性服务业发展的政策建议。

关键词: 长江经济带, 生产性服务业, 空间集聚, 复合加权集聚指数, 探索性空间数据分析

Abstract: This paper uses producer services data in Yangtze River economic zone to establish a compound weighted concentrating indicator which not only macroscopically stock concentration, but also reflects dynamic increment, and employs natural breakpoint classification, spatial auto-correlation, standard deviation ellipse and spatial metering model to study the spatial pattern evolution and factors of 2000 to 2019 producer services in Yangtze River economic zone. Its producer services shows a “west-low-east-high” concentrating distribution with a diminishing regional variance amid temporal-spatial evolution, and with remarkable localized coherence and spatial heterogeneity. Low-level radiation is mainly located in Hunan, Hubei and eastern Sichuan, high-level in Nanchang, Hangzhou and Shanghai centers. Chongqing, Sichuan and Hubei show a patter of “core-high-majority-low”. Spatially it is a “northeast-southwest” distributing pattern with its internal industries showing three spatial concentrating patterns, more centralized, and new entities favoring concentrating in the down-stream of Yangtze River. Concentration of producer services is variably influenced by human capital, governmental expense, house price, traffics and openness, most by human capital and traffics. This paper presents policy suggestions on promoting producer services in Yangtze River economic zone on the basis of regional heterogeneity and factors.

Key words:

Yangtze River economic zone, producer services, spatial concentration, compound weighted concentrating indictor, ESDA(exploratory spatial data analysis)

中图分类号:

F270

及添正, 黄巧龙, 张天铃, 等.

长江经济带生产性服务业的空间格局演变与影响因素研究——基于企业进入视角 [J]. 资源与产业, 2023, 25(2): 37-51.

JI Tianzheng, HUANG Qiaolong, ZHANG Tianling, et al.

SPATIAL PATTERN EVOLUTION AND FACTORS OF PRODUCER SERVICES IN YANGTZE RIVER ECONOMIC ZONE FROM PERSPECTIVE OF ENTERPRISES’ ENTRY [J]. Resources & Industries, 2023, 25(2): 37-51.

参考文献

陈红霞, 2018. 北京市生产性服务业空间分布与集聚特征的演变[J]. 经济地理, 38(5): 108-116.〔CHEN H X, 2018. Evolution of spatial distribution and agglomeration features of producer services in Beijing [J]. Economic Geography, 38(5): 108-116.〕

陈建军, 陈国亮, 黄洁, 2009. 新经济地理学视角下的生产性服务业集聚及其影响因素研究: 来自中国222个城市的经验证据[J]. 管理世界(4): 83-95.

陈丽娴, 2022. 生产性服务业空间关联的产业结构优化效应研究: 基于社会网络分析的视角[J]. 经济评论(5): 147-164.〔CHEN L X, 2022. The spatial correlation of producer services and industrial structure optimization: from the perspective of social network analysis [J]. Economic Review(5): 147-164.〕

陈再齐, 闫小培, 曹小曙, 2010. 广州市港口服务业空间特征及其形成机制研究[J]. 地理科学, 30(1): 30-38.〔CHEN Z Q, YAN X P, CAO X S, 2010. The spatial characters and associated mechanism of port service industries in Guangzhou [J]. Scientia Geographica Sinica, 30(1): 30-38.〕

方远平, 唐瑶, 陈宏洋, 等, 2018. 中国城市群知识密集型服务业集聚与经济增长关系研究: 基于动态面板数据的GMM方法[J]. 经济问题探索(2): 85-93.

方远平, 闫小培, 2008. 服务业区位论: 概念、理论及研究框架[J]. 人文地理(5): 12-16.〔FANG Y P, YAN X P, 2008. Service industry location: concept, theory and research framework [J]. Human Geography(5): 12-16.〕

高觉民, 李晓慧, 2011. 生产性服务业与制造业的互动机理: 理论与实证[J]. 中国工业经济(6): 151-160.〔GAO J M, LI X H, 2011. Theoretical and empirical study on the interactive mechanism between producer services and manufacturing[J]. China Industrial Economics(6): 151-160.〕

韩峰, 柯善咨, 2012. 追踪我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(10): 55-70.

韩峰, 谢锐, 2017. 生产性服务业集聚降低碳排放了吗?: 对我国地级及以上城市面板数据的空间计量分析[J]. 数量经济技术经济研究, 34(3): 40-58.〔HAN F, XIE R, 2017. Does the Agglomeration of Producer Services Reduce Carbon Emissions? [J]. The Journal of Quantitative & Technical Economics, 34(3): 40-58.〕

韩峰, 阳立高, 2020. 生产性服务业集聚如何影响制造业结构升级?: 一个集聚经济与熊彼特内生增长理论的综合框架[J]. 管理世界, 36(2): 72-94, 219.

郝良峰, 李小平, 李松林, 2021. 企业进入退出、产业动态集聚与城市生产率协同: 来自我国制造业的证据[J]. 系统工程理论与实践, 41(8): 1942-1960.〔HAO L F, LI X P, LI S L, 2021. Firms’ entry-exit, dynamic industrial agglomeration and productivity coordination of cities: based on the evidence of Chinese manufacturing firms [J]. System Engineering Theory & Practice, 41(8): 1942-1960.〕

李佳洺, 张文忠, 李业锦, 等， 2016. 基于微观企业数据的产业空间集聚特征分析: 以杭州市区为例[J]. 地理研究, 35(1): 95-107.〔LI J M, ZHANG W Z, LI Y J, et al, 2016. The characteristics of industrial agglomeration based on microgeographic data [J] Geographic Research, 35(1): 95-107.〕

李平, 付一夫, 张艳芳, 2017. 生产性服务业能成为中国经济高质量增长新动能吗[J]. 中国工业经济(12): 5-21.〔LI P, FU Y F, ZHANG Y F, 2017. Can the productive service industry become new momentum for China’s economic growth [J]. China Industrial Economics(12): 5-21.〕

林卫银, 薛德升, 谭一洺, 2022. 基于上市企业与高级生产性服务业联系的中国城市网络: 以创新500强企业IPO为例[J]. 经济地理, 42(9): 68-77.〔LIN W Y, XUE D S, TAN Y M, 2022. Examining the urban network in china based on the connection of the innovative listed enterprises and aps firms: an empirical study based on IPO of the top 500 innovative Chinese firms [J]. Economic Geography, 42(9): 68-77.〕

刘胜, 李文秀, 陈秀英, 2019. 生产性服务业与制造业协同集聚对企业创新的影响[J]. 广东财经大学学报, 34(3): 43-53.〔LIU S, LI W X, CHEN X Y, 2019. The impact of coagglomeration of producer services and manufacturing industries on the enterprise’s innovation [J]. Journal of Guangdong University of Finance & Economics, 34(3): 43-53.〕

刘修岩, 2014. 空间效率与区域平衡: 对中国省级层面集聚效应的检验[J]. 世界经济, 2014, 37(1): 55-80.

刘志彪, 2005. 现代服务业的发展: 决定因素与政策[J]. 江苏社会科学(6): 207-212.〔LIU Z B, 2005. The development of modern service trades: decisive factors and policies [J]. Jiangsu Social Sciences(6): 207-212.〕

刘志东, 高洪玮, 2021. 中国制造业集聚的演变特征及其影响因素: 基于空间面板模型的实证研究[J]. 经济地理, 41(12): 33-42.〔LIU Z D, GAO H W, 2021. Evolution characteristics of the manufacturing industry agglomeration in China and its influencing factors: empirical research based on the spatial panel model [J]. Economic Geography, 41(12): 33-42.〕

毛其淋, 盛斌, 2013. 中国制造业企业的进入退出与生产率动态演化[J]. 经济研究, 48(4): 16-29.〔MAO Q L, SHENG B, 2013. China’s manufacturing firms’entryexit and dynamic evolution of TFP [J]. Economic Research, 48(4): 16-29.〕

邵宜航, 李泽扬, 2017. 空间集聚、企业动态与经济增长: 基于中国制造业的分析[J]. 中国工业经济(2): 5-23.〔SHAO Y H, LI Z Y, 2017. Spatial agglomeration, firm dynamics and economic growth: an analysis based on China’s manufacturing industries [J]. China Industrial Economics(2): 5-23.〕

颉茂华, 施诺, 张婧鑫, 2020. 资源型产业地理集聚的时空分化与经济效应[J]. 资源与产业, 22(5): 19-27.〔XIE M H, SHI N, ZHANG J X, 2020. Temporalspatial differentiation and economic effect of geographic concentration of resource industries [J]. Resources & Industries, 22(5): 19-27.〕

杨帆, 2018. 生产性服务业发展的动力机制与空间效应研究进展[J]. 地理科学进展, 37(6): 750-760.〔YANG F, 2018. Progress of research on the growth dynamics and spatial effects of producer services [J]. Progress in Geography, 37(6): 750-760.〕

于亚娜, 岳金桂, 2022. 知识密集型服务业集聚的分布特征及其对经济发展的空间溢出效应: 以长江三角洲地区为例[J]. 资源与产业, 24(4): 133-144.〔YU Y N, YUE J G, 2022. Distribution of knowledgeintensive service industry aggregation and its spatial overflowing effect on economy in Yangtze River delta [J]. Resources & Industries, 24(4): 133-144.〕

张志彬, 2017. 生产性服务业集聚的区际差异、驱动因素与政策选择: 基于京津冀、长三角和珠三角城市群的比较分析[J]. 经济问题探索(2): 84-90.

张志斌, 公维民, 张怀林, 等, 2019. 兰州市生产性服务业的空间集聚及其影响因素[J]. 经济地理, 39(9): 112-121.〔ZHANG Z B, GONG W M, ZHANG H L, et al, 2019. The spatial agglomeration characteristics and its influencing factors of producer services in Lanzhou [J]. Economic Geography, 39(9): 112-121.〕

赵璐, 赵作权, 2014. 中国制造业的大规模空间聚集与变化: 基于两次经济普查数据的实证研究[J]. 数量经济技术经济研究, 31(10): 110-121, 138.〔ZHAO L, ZHAO Z Q, 2014. Spatial agglomeration of the manufacturing industry in China [J]. The Journal of Quantitative & Technical Economics, 31(10): 110-121, 138.〕

郑长娟, 郝新蓉, 程少锋, 等, 2017. 知识密集型服务业的空间关联性及其影响因素: 以浙江省69个县市为例[J]. 经济地理, 37(3): 121-128, 173.〔ZHENG C J, HAO X R, CHENG S F, et al, 2017. Spatial agglomeration of knowledgeintensive business services in Zhejiang province and its determinants: spatial statistical survey and econometric analysis based on data of 69 cities and counties [J]. Economic Geography, 37(3): 121-128, 173.〕

钟韵, 赵蓓蕾, 李寒, 2021. 广州市制造业与生产性服务业协同集聚与空间相似性[J]. 地理科学, 41(3): 437-445.〔ZHONG Y, ZHAO B L, LI H, 2021. Coagglomeration and spatial similarity: based on the analysis of manufacturing and producer services in Guangzhou, China [J]. Scientia Geographica Sinica, 41(3): 437-445.〕

ANTRAS P, 2003. Firms, contracts, and trade structure[J]. Globalization and Productivity, 2: 202-245.

ARMINGTON C, ACS Z J, 2010. The determinants of regional variation in new firm formation[J]. Regional Studies, 36(1), 33-45.

CAPELLO R, 2007. Regional economics[M]. London: Routledge.

COE N M, TOWNSEND A R, 1998. Debunking the myth of localized agglomerations: the development of a regionalized service economy in southeast England[J]. Transactions of the Institute of British Geographers, 23(2): 1-20.

COFFEY W J, SHEARMUR R G, 1997. The growth and location of high order services in the Canadian urban system, 1971-1991[J]. Professional Geographer, 49(4): 404-418.

DEVEREUX M P, GRIFFITH R, SIMPSON H, 2007. Firm location decisions, regional grants and agglomeration externalities[J]. Journal of Public Economics, 91(3-4): 413-435.

EZCURRA R, PASCUAL P, RAPUN M, 2006. Regional specialization in the European Union[J]. Regional Studies, 40(6): 601-616.

FRITSCH M, STOREY D J, 2014. Entrepreneurship in a regional context: historical roots, recent developments and future challenges[J]. Regional Studies, 48(s1), 939-954.

GONG H M, 2001. A hierarchical change model of business and professional services in the United States[J]. Urban Geography, 22(4): 340-359.

GREENFIELD H, 1966. Man power and the growth of producer services[M]. New York: Columbia University Press.

GUILLAIN R, 2006. Changes in spatial and sectoral patterns of employment in ile-de-France, 1978-97 [J]. Urban Studies, 43(11): 2075-2098.

HERMELIN B, 2007. The urbanization and suburbanization of the service economy: producer services and specialization in Stockholm[J]. Geografiska Annaler: Series B, Human Geography, 89(1): 59-74.

JOFREMONSENY J, MARNLPEZ R, VILADECANS-MARSAL E, 2014. The determinants of localization and urbanization economies: evidence from the location of new firms in Spain[J]. Journal of Regional Science, 54(2): 313-337.

LESAGE J, PACE R K, 2009. Introduction to spatial econometrics[M]. Boca Raton: CRC Press.

PUGA D, VENABLES A J, 1996. The spread of industry: spatial agglomeration in economic development[J]. Journal of the Japanese and International Economies, 10(4): 440-464.

SEARLE G H, 1998. Changes in producer services location, sydney: globalisation, technology and labour [J]. Asia Pacific ViewPoint, 39(2): 237-255.

ZHANG T L, SU P D, DENG H B, 2021. Does the agglomeration of producer services and the market entry of enterprises promote carbon reduction? an empirical analysis of the Yangtze River economic belt[J]. Sustainability, 13(24): 13821.

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