地理学报 ›› 2023, Vol. 78 ›› Issue (6): 1355-1375.doi: 10.11821/dlxb202306003

• 区域发展 • 上一篇    下一篇

核心—边缘视角下的黄河流域县域经济差异研究

张佰发1,2(), 苗长虹1,2(), 冉钊1, 张静2, 张航2   

  1. 1.河南大学地理与环境学院,开封 475004
    2.河南大学黄河文明与可持续发展研究中心暨黄河文明省部共建协同创新中心,开封 475001
  • 收稿日期:2022-03-07 修回日期:2023-02-24 出版日期:2023-06-25 发布日期:2023-06-21
  • 通讯作者: 苗长虹(1965-), 男, 河南鄢陵人, 博士, 教授, 主要从事经济地理与区域发展研究。E-mail: chhmiao@henu.edu.cn
  • 作者简介:张佰发(1994-), 男, 河南济源人, 博士生, 主要从事人文地理研究。E-mail: 157546338@qq.com
  • 基金资助:
    国家自然科学基金项目(42171186)

Economic differences among counties in the Yellow River Basin from the core-periphery perspective

ZHANG Baifa1,2(), MIAO Changhong1,2(), RAN Zhao1, ZHANG Jing2, ZHANG Hang2   

  1. 1. The College of Geography and Environmental Science, Henan University, Kaifeng 475004, Henan, China
    2. Key Research Institute of Yellow River Civilization and Sustainable Development & Yellow River Civilization by Provincial and Ministerial Co-construction of Collaborative Innovation Center, Henan University, Kaifeng 475001, Henan, China
  • Received:2022-03-07 Revised:2023-02-24 Published:2023-06-25 Online:2023-06-21
  • Supported by:
    National Natural Science Foundation of China(42171186)

摘要:

实现黄河流域高质量发展,其经济差异研究不能仅局限于上中下游,而应对多尺度下可能存在的不同差异进行分析,各省区省际边界县与非边界县之间的差异是需要加强研究的一个重要方面。基于此,从核心—边缘理论出发,使用夜间灯光数据表征经济发展水平,通过空间自相关进行差异特征识别,进而构建经济发展差异指数刻画1992—2019年县域经济发展过程存在的核心—边缘结构演变过程,利用回归模型探讨自然和区位条件、交通、产业结构、政府能力等对核心—边缘结构演化的驱动机制。结果表明:① 上中下游差异是黄河流域经济基本特征。但随尺度降低,省会与非省会、省际边界区与非边界区间的经济差异显现,核心—边缘结构凸出;② 县域经济核心—边缘结构呈弱化趋势,下游山东省际边界县域与核心区发展相对均衡,河南、山西和宁夏核心—边缘结构比较稳定,而陕西、内蒙古、甘肃和青海4省省际边界县域与核心区发展失衡,呈核心—边缘极化结构;③ 自然和区位条件是核心—边缘结构形成与发展的基础,但交通、产业结构和政府能力的改善对缩小经济差距、延缓核心—边缘结构极化具有积极作用。加强交通基础建设、调整产业结构、提高政府能力有助于缩小流域经济差异。

关键词: 核心—边缘结构, 省际边界县, 经济发展差异指数, 黄河流域

Abstract:

To realize high-quality development in the Yellow River Basin, the study on economic differences should not be confined to the upper, middle and lower reaches of the Yellow River. In addition, possible differences under various scales should be analyzed. The difference between border counties and non-border counties is an important aspect which needs further study. Therefore, nighttime light data were used to describe the economic development level from the core-periphery perspective, and the spatial autocorrelation method was used to identify the differences. Then an index of the difference in economic development was constructed to describe the evolution of core-periphery structure in the economic development from 1992 to 2019. Finally, the regression model was employed to explore how the evolution is driven by factors including natural endowment, location, traffic, industrial structure and government capacity. The results show that: (1) There are obvious economic differences between the upper, middle and lower reaches of the basin. However, with the scale decreases, there are economic differences between provincial capitals and non-provincial capitals, and between provincial border areas and non-border areas, highlighting the core-periphery structure. (2) The core-periphery structure of county economic development in the Yellow River Basin is weakening. In terms of provinces, Shandong's economy is developing well, the periphery and core counties are developing in a balanced way, and the core-periphery structure is weak. The core-periphery structure in Henan, Shanxi and Ningxia is relatively stable. However, the development of border counties and core areas in Shaanxi, Inner Mongolia, Gansu and Qinghai is unbalanced, showing a core-periphery polarization. (3) Natural endowments and location are the basis for the formation and development of core-periphery structure. However, the improvement of transportation, industrial structure and government capacity have a positive effect on narrowing the economic gap and delaying the polarization of the core-periphery structure. Therefore, strengthening the construction of transportation infrastructure, adjusting industrial structure and improving government capacity can help reduce the economic differences in the Yellow River Basin.

Key words: core-periphery structure, provincial border county, index of the difference in economic development, Yellow River Basin