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中国乡村产业类型及分区调控策略

Types and zoning regulation strategies of rural industries in China

  • 摘要: 乡村产业作为乡村地域系统的核心功能载体,识别其差异类型与地域分异特征对于促进城乡融合和农业农村现代化具有重要意义。该研究基于“产业分类—发展分级—地域分区”思路,构建乡村产业发展的多维评价指标体系,综合运用主成分分析、地理集中指数和K-means聚类等方法,对2010—2023年中国县域的乡村产业发展水平进行系统评价与分区调控策略探析。结果表明:1)中国乡村产业综合发展指数从2010年的0.443提升至2023年的0.638,呈现“东部创新驱动、中部加工增值、西部特色转化”的梯度格局,高水平区主要集中于东部沿海,低水平区分布在生态脆弱区;2)乡村产业发展的不同维度呈现差异化演进路径,产业基础维度稳步提升,产业效能及产业潜力维度逐步增长但增速放缓,表明当前乡村产业正从资源驱动向效能驱动、潜力驱动转型;3)基于“成分识别—地理集中—空间叠加”思路,将全国划分为9个一级和28个二级乡村产业分区;4)乡村第一产业应推动“农能互补”“牧光互补”等模式,统筹粮食安全与生态保护;乡村第二产业应侧重“精深加工”“绿色制造”,提升产业链附加值;乡村第三产业需深耕“农文旅融合”“数字赋能”,促进城乡要素流动,通过产业协同发展构建现代乡村产业体系。研究可为乡村产业高质量发展提供空间指引与决策参考。

     

    Abstract: Rural industries can facilitate urban-rural factor mobility and rural revitalization in rural regional systems. Nevertheless, challenges remain in rural industrial development, including homogeneous industrial structures, short industrial chains, insufficient digital penetration, and low ecological adaptability. Classifying and zoning regulations of rural industries are often required to reduce regional disparities for targeted governance. In this study, a multi-dimensional evaluation system was constructed to cover industrial foundation, efficiency and potential, according to the framework of 'industrial classification–development grading–regional zoning‘’. A systematic evaluation was also conducted for the county-level development of rural industries in China from 2010 to 2023. Targeted zoning optimization strategies were proposed using principal component analysis, geographic concentration index, and K-means clustering. The results show that: 1) The development index of rural industries increased steadily from 0.443 in 2010 to 0.638 in 2023, with an average annual growth rate of 3.13%, accompanied by striking regional differentiation. High-level development zones, accounting for 13.22% of the national territory, were predominantly distributed in eastern coastal regions, such as the Yangtze River Delta and Pearl River Delta, while low-level zones, occupying 8.32%, were concentrated in ecologically fragile areas, including the Qinghai-Tibet Plateau and Qin-Ba Mountains. Overall, a stepped spatial pattern was formed to be characterized by innovation-driven transformation in Eastern China, processing-oriented value upgrading in Central China, and characteristic resource utilization in Western China. 2) Rural industrial development was composed of three divergent evolutionary dimensions. The industrial foundation maintained steady improvement; Industrial efficiency grew continuously at a decelerating rate; And industrial potential retained comparative superiority with slowing growth. There was a noticeable transition from conventional resource-driven toward efficiency-oriented and potential-enhanced trends. The driving factors were taken as industrial support capacity, digital and marketization levels, and industrial integration. 3) According to the integrated analytical logic of “component dominance–geographic concentration–spatial overlay”, rural industrial space was classified into 9 primary and 28 secondary zones. The zoning system covered diverse geographical units from the Northwest Oasis Agriculture-Energy Synergy Zone to the Southeast Coastal Export-Oriented Innovation Zone, indicating the intra-regional consistency and inter-regional heterogeneity. 4) Differentiated paths were required to promote high-quality industrial upgrading. In primary industries, models such as agro-energy complementarity and pasture-photovoltaic coordination should be popularized to coordinate grain security, ecological conservation, and farmers’ income. In secondary industries, intensive processing and green manufacturing should be prioritized to extend industrial chains and promote clustered and high-value development. In tertiary industries, agriculture, culture, and tourism, as well as digital empowerment, should be strengthened to accelerate urban-rural factor circulation and rural wealth. These differentiated strategies can contribute to the modern rural industrial system. These findings can provide reliable spatial guidance and scientific decision-making references to promote high-quality rural industrial development and rural revitalization.

     

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