打印

作者

Han Wang;Li Qiu;Zhoupeng Chen;Fengqin Li;Peng Jiang;Anlu Zhang;Xin Nie

来源

HABITAT INTERNATIONAL,Vol.128,P.102647

语言

英文

关键字

作者单位

School of Public Administration of Guangxi University, No 100, Da Xue Road, Nanning, 530004, China;Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA;Regional Social Management Innovation Research Center of Guangxi University, No 100, Da Xue Road, Nanning, 530004, China;China Center for Agricultural Policy (CCAP), School of Advanced Agricultural Sciences, Peking University, No 5, Yi He Yuan Road, Beijing, 100871, China;Macro Agriculture Research Institute of Huazhong Agricultural University, Wuhan, 430070, China;School of Public Administration, Huazhong Agricultural University, Wuhan, 430070, China;School of Public Administration of Guangxi University, No 100, Da Xue Road, Nanning, 530004, China;Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA;Regional Social Management Innovation Research Center of Guangxi University, No 100, Da Xue Road, Nanning, 530004, China;China Center for Agricultural Policy (CCAP), School of Advanced Agricultural Sciences, Peking University, No 5, Yi He Yuan Road, Beijing, 100871, China;Macro Agriculture Research Institute of Huazhong Agricultural University, Wuhan, 430070, China;School of Public Administration, Huazhong Agricultural University, Wuhan, 430070, China;School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, 210023, China;Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing, 210023, China;Department of Urban Studies and Planning, University of Sheffield, Western Bank, Sheffield, S10 2TN, UK;Institute of Geography, Ruhr University Bochum, Universitätsstraße 150, 44801, Bochum, Germany;Jiangsu Land Development and Consolidation Technology Engineering Center, Nanjing, 210023, China;Center of Geo-Informatics for Public Security, School of Geography and Remote Sensing, Guangzhou University, Guangzhou, China;Department of Geography, University of Cincinnati, OH, USA;Department of Geography and Planning, The University of Toledo, OH, USA;School of Design, Shanghai Jiao Tong University, Shanghai, PR China;Shanghai Key Laboratory of Urban Renewal and Spatial Optimization Technology, PR China;International Research Center for Architectural Heritage Conservation, Shanghai Jiao Tong University, Shanghai, PR China;Department of Civil Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran;Department of Civil Engineering, Technical and Vocational University (TVU), Tehran, Iran;Department of Civil Engineering, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran;Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China;School of Computing, Engineering and Built Environment, Edinburgh Napier University, Edinburgh, United Kingdom;Department of Geography, The University of Hong Kong, Pokfulam Road, Hong Kong, China;School of Management, Zhejiang University of Technology, Hangzhou, 310023, China;Department of Geography and Resource Management, and Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China;Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China;College of Applied Arts and Science, Beijing Union University, Beijing, 100191, China;Land and Urban-Rural Development Research Institute, Zhejiang University of Finance and Economics, Hangzhou, 310018, China

摘要

Within the cultural context of “guanxi” in China, it is particularly challenging to develop a framework capable to capture the complexity and adaptability of farmers facing conflicts between wetland conservation and livelihood development. In this paper, we integrate agent-based model (ABM) and field experimental methods to develop a hybrid simulation experiment model for wetland conservation behavior, in order to reveal the driving forces of land change and understand the dynamic change process of farmers' behavior. Through a field experiment and a questionnaire survey of farmers around the Shankou Mangrove Ecological Nature Reserve (SMENR) in Guangxi, China, the intention of different types of farmers to adopt wetland conservation behavior was assessed from different angles, constructing a rational choice theory (RCT) framework and ABM proxy behavior rules. The results showed that after 5 years, the adoption rate of farmers' wetland conservation behavior reached 100% under the assumption of bounded self-interest, but only about 80% under bounded rationality. This confirms that herd is more conducive to promoting farmers' wetland conservation behavior. Decision makers should consider the importance of bounded rationality and bounded self-interest interaction, foster farmers' sense of belonging and responsibility toward wetlands, and guide farmers to participate in the ecological protection and sustainable use of wetlands.