湖北农业科学 ›› 2023, Vol. 62 ›› Issue (9): 194-200.doi: 10.14088/j.cnki.issn0439-8114.2023.09.034

• 经济·管理 • 上一篇    下一篇

农业经济增长的空间特征与区域差距研究——基于广西县域面板数据的实证

班锦才   

  1. 桂林电子科技大学商学院,广西 桂林 541004
  • 收稿日期:2022-06-28 出版日期:2023-09-25 发布日期:2023-10-24
  • 作者简介:班锦才(1997-),男,广西南宁人,在读本科生,研究方向为农业经济管理,(电话)18776114301(电子信箱)2864965930@qq.com。
  • 基金资助:
    国家自然科学基金项目(71963007); 桂林电子科技大学党的十九大精神研究专项课题(US18041Y); 广西壮族自治区创新训练项目(202010595115); 广西高校中青年教师科研基础能力提升项目(2019KY0245)

Study on spatial characteristics and regional gap of agricultural economic growth: An empirical study based on county panel data of Guangxi

BAN Jin-cai   

  1. College of Business, Guilin University of Electronic Technology, Guilin 541004, Guangxi, China
  • Received:2022-06-28 Online:2023-09-25 Published:2023-10-24

摘要: 基于2004—2020年广西96个县域的面板数据,综合运用ESDA分析法、空间分异指数和Dagum基尼系数,分析了广西农业经济增长的空间特征与区域差距。结果表明,广西农业经济增长存在显著的空间正相关特征,“高-高”或“低-低”集聚趋势明显,总体上表现出较大的空间差异;广西农业经济增长表现出显著的空间分异特征,各县域的农业经济增长差异较大;广西农业经济增长的区域差距较为明显,且主要来源于区域间差距。据此提出,加快提升落后县域农业经济增长,促进各县域之间横向合作,推动各区域之间协同发展。

关键词: 农业经济增长, 空间特征, 区域差距, ESDA分析, Dagum基尼系数, 广西

Abstract: Based on the panel data of 96 counties in Guangxi from 2004 to 2020, the spatial characteristics and regional disparities of agricultural economic growth in Guangxi were analyzed by using ESDA analysis, spatial differentiation index and Dagum Gini coefficient. The results showed that there was a significant spatial positive correlation between agricultural economic growth in Guangxi, and the “high-high” or “low-low” agglomeration trend was obvious, showing a large spatial difference on the whole; the agricultural economic growth of Guangxi showed significant spatial differentiation, and the agricultural economic growth varied greatly among counties; the regional gap of agricultural economic growth in Guangxi was obvious, and mainly came from the inter-regional gap. Therefore, it was suggested to accelerate agricultural economic growth in backward counties, promote horizontal cooperation among counties, and promote coordinated development among regions.

Key words: agricultural economic growth, spatial characteristics, regional gap, ESDA analysis, Dagum Gini coefficient, Guangxi

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