| 英文摘要 |
With economic development and technological advancement, the phenomenon of population concentration in cities has become increasingly extreme, leading to a serious urban-rural gap problem. At the same time, most Asian countries are facing the predicament of rapid aging of the population structure, causing towns and villages to suffer from the dual impact of population exodus and aging. Then there appeared the phenomenon of life function on the verge of collapse. In order to alleviate this problem, the Japanese government first proposed a local revitalization policy in an attempt to revitalize the local economy and promote the population. However, the current policies often encounter difficulties that are difficult to sustain due to problems affecting complex regional relations, society, and natural resources. To cope with this dilemma, this research attempts to combine Water-Energy-Food Nexus (WEF Nexus) theory, and explore the local revitalization governance model based on WEF nexus. The research mainly uses the literature analysis method to analyze the background, theories and research development of WEF Nexus research, compares and analyzes the conceptual models proposed by the institutions that mainly promote WEF Nexus research. The study summarizes the structure of each model and the influencing factors included as the basis for constructing the governance model of local revitalization. The research is further based on the summary results of the WEF link framework, combined with the connotation of the concept of local creation, and initially proposes a local revitalization governance model based on WEF nexus. The model centers on the linkage of the three basic elements of water, energy, and food, and includes seven external influencing factors, namely economy, natural environment, population, innovation, cultural society, stakeholders, and governance. The research suggests that follow-up research can be based on this framework and add more specific governance theories, such as polycentric governance and metagoverance, to get closer to practice. At the same time, it also pave the way for the construction of quantitative models, the implementation of scenario simulation, policy evaluation and forecasting research. |