乡村可持续转型的制度动力:基于浙江青山村的转型拓扑分析

Institutional Dynamics of Sustainable Rural Transition: A Transition Topology Analysis in Qingshan Village in Zhejiang

  • 摘要: 浙江省杭州市余杭区黄湖镇青山村的未来乡村建设是乡村振兴战略下对乡村可持续转型的一次全新探索。乡村的宏观制度变革对可持续转型的速度和范围有重大影响。然而,支撑乡村可持续转型的复杂制度动力机制尚不明确。尤其是在微观层面上的短期变革和系统层面上的长期变革之间的联系还没有得到充分研究。为了进一步加深对乡村可持续转型的理解,本研究采用转型拓扑分析方法,以青山村为研究对象,整合演化地理经济和新制度组织理论视角,分析青山村可持续转型的制度动态。研究结果解释了青山村可持续转型进程的3个阶段及阶段间的变化,提出了社会公益组织的枢纽功能,分析了青山村“多点循环”的组织间网络驱动微观层面组织变革转向宏观层面制度化过程。转型拓扑分析使得青山村可持续转型制度动态的结构化模式清晰可见,基于时空顺序和复杂因果构建,进一步拓展了乡村可持续转型和乡村空间治理的研究。

     

    Abstract: The future rural construction in Qingshan Village, Huanghu Town, Yuhang District, Hangzhou City, Zhejiang Province, is a novel exploration of sustainable rural transition under the strategy of rural revitalization. Macro-institutional changes in rural areas significantly impact the speed and scope of sustainable transition. However, the intricate institutional dynamics underlying rural sustainable transition remain unclear. In particular, the link between short-term changes on the micro-level and long-term changes on the system level of rural sustainable transition has not been fully explored. To further deepen our understanding of rural sustainable transition, this study employs the transition topology analysis method, taking Qingshan Village as the research object. It integrates the perspectives of evolutionary geo-economics and new institutional organization theory to analyze the institutional dynamics of sustainable transition in Qingshan Village. The research results explain the three stages of the sustainable transition process in Qingshan Village and the changes between these stages, propose the pivotal role of social welfare organizations, and analyze the process of 'multi-point circulation' inter-organizational networks driving micro-level organizational changes towards macro-level institutionalization. The transition topology analysis clarifies the structured patterns of institutional dynamics in Qingshan Village's sustainable transition, built upon spatio-temporal sequences and complex causalities, further expanding research on rural sustainable transition and rural spatial governance.

     

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