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.