湖北农业科学 ›› 2022, Vol. 61 ›› Issue (6): 188-194.doi: 10.14088/j.cnki.issn0439-8114.2022.06.037

• 经济·管理 • 上一篇    下一篇

黄河流域农村产业融合发展水平测度及影响因素研究

王香花, 杨梦佳   

  1. 中北大学经济与管理学院,太原 030051
  • 收稿日期:2021-09-22 出版日期:2022-03-25 发布日期:2022-04-18
  • 通讯作者: 杨梦佳(1997-),女,山西运城人,在读硕士研究生,研究方向为区域经济,(电话)15735116163(电子信箱)2571960834@qq.com。
  • 作者简介:王香花(1972-),女,山西代县人,教授,硕士生导师,硕士,主要从事区域经济研究,(电话)13453171998(电子信箱)605977256@qq.com。
  • 基金资助:
    山西省软科学项目(2017041005-1)

Study on measurement and influencing factors of rural industries integration development level in the Yellow river basin

WANG Xiang-hua, YANG Meng-jia   

  1. School of Economics and Management,North University of China,Taiyuan 030051,China
  • Received:2021-09-22 Online:2022-03-25 Published:2022-04-18

摘要: 基于产业融合内涵,以黄河流域为例,从农村产业链延伸、农业多功能拓展、农村服务业、经济效益与社会效益5个层面构建农村一二三产业融合指标体系,采用熵值法测度了黄河流域农村产业融合水平及空间差异特征,并收集2012—2019年的面板数据,运用动态GMM模型检验农村产业融合水平的影响因素。结果表明,黄河流域的农村产业融合水平在2012—2019年逐年稳步上升,发展态势良好,其中黄河流域中下游地区发展水平高于黄河上游区域,存在明显的空间差异;居民消费需求、农村土地流转、农村环境质量发展水平对黄河流域一二三产业融合水平具有显著的积极作用,而农村人力、技术、基础设施建设、金融支持等还需要进一步的发展空间。为此,针对农村的产业融合问题提出了相应的对策建议。

关键词: 黄河流域, 农村产业融合, 熵值法, GMM模型

Abstract: Based on the connotation of industrial integration, taking the Yellow river basin as an example, the index system of integration of rural primary, secondary and tertiary industries was constructed from five levels of rural industrial chain extension, agricultural multi-function expansion, rural service industry, economic benefit and social benefit. The entropy method was used to measure the level and spatial difference characteristics of rural industrial integration in the Yellow river basin. Panel data from 2012 to 2019 were collected to test the influencing factors of rural industrial integration level using dynamic GMM model. The results showed that the level of rural industrial integration in the Yellow river basin had been rising steadily year by year from 2012 to 2019, and the development trend was good. The development level of the middle and lower reaches of the Yellow river basin were higher than that of the upper reaches of the Yellow river basin, and there was an obvious spatial difference. Residents' consumption demand, rural land transfer and rural environmental quality had a significant positive effect on the integration level of primary, secondary and tertiary industries in the Yellow river basin, while rural manpower, technology, infrastructure construction and financial support need further development space. Therefore, some corresponding countermeasures and suggestions were put forward for rural industrial integration.

Key words: Yellow river basin, rural industrial integration, entropy method, GMM model

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