地理学报 ›› 2018, Vol. 73 ›› Issue (6): 1065-1075.doi: 10.11821/dlxb201806006

• 区域发展 • 上一篇    下一篇

中国省际边界区县域经济格局及影响因素的空间异质性

曹小曙(),徐建斌   

  1. 中山大学地理科学与规划学院,广州 510275
  • 收稿日期:2017-10-01 出版日期:2018-06-10 发布日期:2018-06-04
  • 基金资助:
    国家自然科学基金项目(41671160)

Spatial heterogeneity analysis of regional economic development and driving factors in China's provincial border counties

CAO Xiaoshu(),XU Jianbin   

  1. School of Geography Science and Planning, Sun Yat-Sen University, Guangzhou 510275, China
  • Received:2017-10-01 Online:2018-06-10 Published:2018-06-04
  • Supported by:
    National Natural Science Foundation of China, No.41671160

摘要:

通过构建省际边界区经济发展差异指数,结合空间自相关模型对省际边界区县域经济发展差异格局进行分析,并利用全局回归(OLS)模型和地理加权回归模型(GWR)对省际边界县域经济发展差异影响因素的空间异质性进行研究。结果表明,中国省际边界区县域经济发展具有显著的空间集聚性,边界经济发展差异较大的地区集中在蒙甘边界,蒙宁边界和陕蒙边界地区。政府宏观调控因子与西部地区县域经济发展差异呈负相关趋势,教育发展水平对县域经济发展差异影响呈现出贫困与发达地区二元分异,边界的紧凑度、地形起伏度、交通优势度与产业结构因子对县域经济发展差异指数呈现出正相关趋势。本文具体分析了在不同省际边界县域内,各影响因素对县域经济发展差异指数的影响程度差异和作用方向差异,为合理调控不同地区发展要素、缩小省际边界地区经济发展差异、制定不同省际边界县域发展策略提供科学依据。

关键词: 省际边界区, 经济发展差异, 影响因素, 空间异质性, 地理加权回归, 中国

Abstract:

The economic development difference index and spatial autocorrelation model is used to analyze the different patterns of economic development in China's provincial border counties. And the spatial heterogeneity of regional economic development and its driving factors were studied by using Ordinary Least Square (OLS) and geo-weighted regression model (GWR). The results show that the counties' economic development of the provincial border areas in China has significant spatial agglomeration, and the areas with large differences in border economic development are concentrated in the border areas such as Inner Mongolia-Gansu, Inner Mongolia-Ningxia, Shaanxi-Inner Mongolia and other border areas. There is a negative correlation between the macroeconomic regulation and the economic development of the western region. The influence of educational development level on county economic disparity shows the regional differentiation of poverty and developed counties. There is a positive correlation between the compactness of the boundary, the terrain fluctuation degree and the provincial economic development at the provincial boundary. Traffic dominance and industrial structure factor show a positive correlation trend in terms of the difference of county economic development. This paper analyzes the differences between the influencing factors and the direction of the impact of different factors on the development index of county economic development in different counties. It provides scientific basis for rationally regulating the elements of development in different regions, narrowing the economic development differences in the border areas and setting up different provincial border development strategies.

Key words: provincial border area, differences in economic development, driving factors, spatial heterogeneit, geographic weighted regression, China