地理研究 ›› 2017, Vol. 36 ›› Issue (5): 926-944.doi: 10.11821/dlyj201705010

• 研究论文 • 上一篇    

西部内陆省区区域经济差异影响因素——以重庆为例

郭源园(), 李莉()   

  1. 北京大学深圳研究生院城市规划与设计学院,深圳 518055
  • 收稿日期:2016-12-19 修回日期:2016-03-16 出版日期:2017-05-20 发布日期:2017-05-31
  • 作者简介:

    作者简介:郭源园(1989- ),男,湖南怀化人,硕士,研究方向为区域经济差异、城市交通。E-mail:guoyuanyuan@sz.pku.edu.cn

  • 基金资助:
    国土资源部公益性行业科研专项(201311006);国家自然科学基金项目(41401122)

Influencing factors of regional economic inequality in inland provinces of western China: A case study of Chongqing

Yuanyuan GUO(), Li LI()   

  1. School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen 518055, Guangdong, China
  • Received:2016-12-19 Revised:2016-03-16 Online:2017-05-20 Published:2017-05-31

摘要:

选取内陆开放的典型区域重庆市作为案例,综合运用基尼系数、泰尔指数和变异系数等方法,对重庆市1994-2014年间区域经济差异的演变进行测度和分析,并以区县经济差异(基尼系数)为因变量,选取西部省区中较具普适性的、囊括社会行政、经济、地理区位和政策四个方面的15个影响因素为自变量,运用岭回归和地理加权回归模型分别从“全局”和“局部”视角探讨其作用效果。研究表明:① 研究时段内重庆市区域经济差异持续波动,基尼系数大体处于0.3~0.4之间,并表现出以重庆直辖、加速新型工业化战略及金融危机为三个节点的四阶段演变特征;② 岭回归结果显示,城镇化、劳动力资源、非市场化、工业化、地形条件和政策倾斜是最为显著的六个影响因素;③ 地理加权回归结果表明,城镇化、劳动力资源、非市场化、工业化和政策倾斜对重庆市区域经济差异的影响表现出明显的空间差异特征,但地形因素的影响并不显著。研究对西部内陆地区的可持续发展具有一定科学指导意义。

关键词: 区域经济差异, 西部内陆地区, 重庆, 岭回归, 地理加权回归

Abstract:

Regional economic inequality is an inevitable phenomenon in economic development, as well as a common concern all over the world. The importance of regional economic inequality issue in the inland provinces of western China has been growing especially under the background that China is accelerating its inland opening/development and Western Development Program in recent years. This study, taking Chongqing as a typical inland region in western China, employs Gini, Theil index and coefficient variance to evaluate the regional economic inequality in Chongqing and its variation from 1994 to 2014. We then decompose Gini index in Chongqing into county (or district) level. Using county level regional economic inequality as dependent variable and choosing 15 independent variables in 4 categories (social factor, economic development, geographic location and transport, and policies), we apply ridge regression and geographical weighted regression models to examine the influence of these factors on regional economic inequality in Chongqing from the "global" and "local" perspectives respectively. The findings are as follows: (1) the dynamics of regional economic inequality in Chongqing can be divided into four phases with the event of setting up as direct-controlled municipality, the launch of new-type industrialization scheme and the Financial Crisis as critical time points. Such inequality over the past decades has always fluctuated between 0.3 and 0.4, which is quite close to the warning line (Gini =0.4) especially after the Financial Crisis; (2) the result of ridge regression shows that, among 15 factors, urbanization, industrialization, the endowment of labor resources, non-marketization, topography and preferential policies are the most significant factors which enlarge regional economic inequality; (3) the result of geographical weighted regression shows that, urbanization, non-marketization, industrialization, the endowment of labor resources and preferential policies contribute to regional economic inequality in Chongqing and the impact shows spatial heterogeneity. By contrast, the influence of topography is insignificant. The study analyzes the possible reasons and put forward some policy solutions. We hope that the research can contribute to the literature on the regional inequality issues in the study region and that the suggestions have some practical value for the rational and sustainable development in China's inland region.

Key words: regional economic inequality, inland western China, Chongqing, ridge regression, geographical weighted regression (GWR)