Selection of CAIs for Measuring Benefits of Investment in Rural Infrastructure on the Basis of Fuzzy Set theory

摘要：

Rural infrastructure is essential for agricultural growth, economic development, and poverty alleviation, particularly in the developing countries such as China. However, existing research mainly focuses on the economic benefit of rural infrastructure investment while neglecting its social and ecological aspects. This paper aims at introducing a set of critical assessment indicators (CAIs) for evaluating the multifaceted benefits of investment in rural infrastructure in China. Research data were collected from a questionnaire survey and processed by the Monte Carlo Simulation (MCS). Fuzzy Set Theory serves as the theoretic basis for the research and plays an important role in selecting CAIs. The selected CAIs can help local government to make better decision when investing in rural infrastructure in China.

关键词： Rural infrastructure investment in infrastructure critical assessment indicators (CAIs) Fuzzy Set Theory

作者: JIANG Shijie SHEN Liyin ZHOU Li

作者单位: The Hong Kong Polytechnic University, Hung Horn, Kowloon, Hong Kong Chongqing University of Sceince The Hong Kong Polytechnic University, Hung Horn, Kowloon, Hong Kong Sichuan International Studies University, Chongqing, China, 400031

会议类型: 国际会议

会议名称: The 1st International Conference on Sustainable Construction & Risk Management(首届可持续建设与风险管理国际会议)

会议地点: 重庆

会议语种:英文

页码: 940-945

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）