地理科学 ›› 2016, Vol. 36 ›› Issue (1): 1-9.doi: 10.13249/j.cnki.sgs.2016.01.001

• 研究论文 •    下一篇

中国生产性服务业市场潜能与空间分布——基于面板工具模型的实证研究

席强敏1(), 陈曦2, 李国平2()   

  1. 1.南开大学经济学院,天津 300071
    2.北京大学政府管理学院,北京 100871
  • 收稿日期:2014-12-16 修回日期:2015-03-13 出版日期:2016-01-20 发布日期:2016-01-20
  • 作者简介:

    作者简介:席强敏(1986-),男,江西高安人,讲师,主要从事区域经济、城市经济研究。E-mail: xqm815@126.com

  • 基金资助:
    国家社会科学基金(15CJY055)、国家自然科学基金(41171099)、教育部人文社会科学研究青年基金(14YJC790136)资助

Market Potential and Spatial Distribution of Producer Services in China: An Empirical Research Based on Panel Model with Instrument Variables

Qiangmin Xi1(), Xi Chen2, Guoping Li2()   

  1. 1.School of Economics, Nankai University, Tianjin 300071, China
    2.School of Government, Peking University, Beijing 100871, China
  • Received:2014-12-16 Revised:2015-03-13 Online:2016-01-20 Published:2016-01-20
  • Supported by:
    National Social Science Foundation of China (15CJY055), National Nature Science Foundation of China (41171099), Humanities and Social Science Research Youth Fund of Ministry of Education (14YJC790136)

摘要:

利用2003~2012年全国285个地级及以上城市面板数据,研究了中国生产性服务业及其市场潜能的空间分布特征,并基于面板工具计量模型,实证检验了生产性服务业市场潜能对其空间分布的影响。主要结论是: 生产性服务业主要集中在区域中心城市,且中心城市与非中心城市生产性服务业发展差距日益加大;生产性服务业市场潜能主要集中在东部沿海地区,从动态上东部地区与中西部地区生产性服务业市场潜能差距在逐渐减小; 生产性服务业市场潜能对生产性服务业空间分布具有显著影响。分行业看,市场潜能仅对金融服务业和科技服务业的空间分布影响不显著,对商务服务业的空间分布影响最大; 市场潜能有效地带动了区域中心城市生产性服务业的发展,但对非中心城市生产性服务业的带动作用不明显,市场潜能没能有效地转化为真实需求。基于此,建议中国未来应提高非中心城市生产性服务业的市场潜能,带动其生产性服务业的发展,尤其是提高非中心城市的本地化专业服务水平,以满足非中心城市工业转型升级过程中受距离限制不能从中心城市获得的专业化生产服务。

关键词: 市场潜能, 生产性服务业, 面板工具模型

Abstract:

Compared with manufacturing industry, the research on producer services is not systematic and comprehensive enough at present. The theoretical reasoning and descriptive analysis based on agglomeration phenomenon are relatively common, but the empirical research to explore the impact of factors is relatively less, and the research considering about market potential in the perspective of new economic geography is even less. Therefore, this article takes producer services of Chinese prefecture-level cities as research objects, and using the panel econometric model to research the relationship between producer services’ market potential and its spatial distribution. Based on the panel data of 285 prefecture-level cities from 2003 to 2012, this article focuses on the spatial distribution of China’s producer services and its market potential, and uses panel model to empirically test the influence of producer services’ market potential on its spatial distribution. The main conclusions are: First, producer services mainly clusters in regional central cities, and the development gap of producer services between central city and non-central city is growing wider; market potential of producer services is mainly distributed in the eastern coastal areas, and dynamically the gap of producer services’ market potential between eastern regions and central and western regions is narrowing. Second, producer services’ market potential has significant positive impacts on its spatial distribution. In terms of producer services divisions, market potential has impacts on spatial distributions of all producer services divisions except financial services and technology services, and the greatest impact falls on business services. Third, in terms of different areas, potential market drives the development of producer services in regional central cities, but the driving effects in non-central cities are not significant, the market potential could not be effectively translated into real demand. Furthermore, this article puts forward some suggestions that in the future, China should raise the level of market potential of producer services in non-central cities to drive the development of their producer services, and especially improve the level of localized professional services in these areas, in order to meet the demand of professional services which has been restricted by distance from the central city in the process of industrial transformation and upgrading.

Key words: market potential, producer services, panel model with instrument variable

中图分类号: 

  • F719