湖北农业科学 ›› 2023, Vol. 62 ›› Issue (7): 247-252.doi: 10.14088/j.cnki.issn0439-8114.2023.07.040

• 乡村振兴 • 上一篇    下一篇

乡村振兴视角下基于湖北省实践的县域创新能力提升路径研究

肖松1,2, 俞享2, 门玉英1,2, 邹小伟1, 王亚1   

  1. 1.湖北省科技信息研究院, 武汉 430071;
    2.华中师范大学信息管理学院,武汉 430070
  • 收稿日期:2022-11-21 出版日期:2023-07-25 发布日期:2023-08-15
  • 作者简介:肖 松(1970-),男,湖北黄石人,副研究员,硕士研究生导师,硕士,主要从事区域创新发展研究,(电话)027-87837216(电子信箱)1662771426@qq.com。
  • 基金资助:
    湖北省软科学研究项目(2022EDA021)

Research on the promotion path of county innovation ability based on the practice in Hubei Province from the perspective of rural revitalization

XIAO Song1,2, YU Xiang2, MEN Yu-ying1,2, ZOU Xiao-wei1, WANG Ya1   

  1. 1. Hubei Academy of Scientific and Technical Information, Wuhan 430071, China;
    2. School of Information Management, Central China Normal University, Wuhan 430070, China
  • Received:2022-11-21 Online:2023-07-25 Published:2023-08-15

摘要: 为探究新时代乡村振兴战略全面推进过程中县域区域创新能力提升的影响机制,以湖北省62个县(市)为研究样本,运用模糊集定性比较分析方法(fsQCA),选取市场、经济、产业结构、人才和政策5个条件变量,从组态视角进行深入分析。结果表明,单个条件变量无法直接提升区域创新能力,而需要通过组态形式来协同作用。区域创新能力提升的路径有5条,可以归纳为4种模式,分别是市场导向型、经济与产业结构双重驱动型、全面发展型以及政府投入和产业结构促进型。经济、市场和产业结构是区域创新能力提升的核心变量,其中以产业结构最为重要。

关键词: 区域创新能力, fsQCA, 条件组态, 县域经济, 湖北省

Abstract: In order to explore the impact mechanism of improving the innovation capability of county regions in the process of comprehensively promoting the rural revitalization strategy in the new era, taking 62 counties(cities) in Hubei Province as the research sample, the fuzzy set qualitative comparative analysis method (fsQCA) was used to select five condition variables of market, economy, industrial structure, talent and policy, and in-depth analysis from the perspective of configuration was conducted. The results showed that a single condition variable could not directly improve regional innovation ability, but needed to be synergistic through configuration. There were five paths to improve regional innovation capability, which could be summarized into four models, namely market-oriented, dual-driven economy and industrial structure, comprehensive development, and government input and industrial structure promotion. The economy, market and industrial structure were the core variables for the improvement of regional innovation capabilities, of which the industrial structure was the most important.

Key words: regional innovation capability, fsQCA, condition configuration, county economy, Hubei Province

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