基于省级小组数据的中国农村共同繁荣-NCA和fsQCA的评估和配置路径的研究
Liang Cheng1, Lihua Yang2, Xing Li3
1Jiangxi Agricultural University, PR China.
Heliyon
|January 11, 2024
概括
中国农村共同繁荣 (CP) 呈现出波动性的上升趋势,区域差距正在缩小. 多种因素驱动CP,但"完美的数字设施"和"高企业家活动"是普遍有益的.
科学领域:
- 农村发展 农村发展
- 区域经济学 区域经济学
- 社会经济地理学 社会经济地理学
背景情况:
- 衡量和理解农村共同繁荣 (CP) 对可持续发展至关重要.
- 中国经济快速增长为农村CP带来了独特的挑战和机遇.
- 现有的研究往往忽视了技术,组织和环境因素的复杂相互作用.
研究的目的:
- 测量2013-2019年中国农村共同繁荣 (CP) 的水平和演变.
- 分析农村CP的空间特征和区域差异.
- 探索技术-组织-环境 (TOE) 背景对农村CP的互动影响.
主要方法:
- 以相似度与理想溶液 (TOPSIS) 的优先顺序来测量积重量技术,用于测量CP.
- 全球和本地莫兰的I用于空间自相对应分析.
- 需要条件分析 (NCA) 和模糊集定性比较分析 (fsQCA) 用于探索因果配置.
主要成果:
- 农村CP表现出波动的上升趋势,东部地区领先,但差距正在缩小.
- 农村 CP 中观察到显著的空间聚集 ("高高"",低低") 和稳定性.
- 没有一个数字经济,组织或环境因素是CP的必要条件.
- 数字经济,组织和环境因素的三个不同的配置被确定为农村CP的驱动因素,说明了"平等性".
结论:
- 中国的农村共同繁荣正在随着地区差距的缩小而发展.
- 空间因素在农村农产区的聚合和稳定中发挥着重要作用.
- 有效的农村CP战略需要了解各种因果关系,以及数字基础设施和创业精神的普遍重要性.
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