Abstract:

Fuzhou city was deliberately chosen as the study area because of prominent heatwaves. Face-to-face interviews were conducted by means of the simple random sampling method, and 962 valid questionnaires were obtained. The depth interviews for some samples were also conducted, and the questionnaires covered some contents: social economy, the willingness to pay (WTP), its influence factors of heatwaves, etc. Contingent Valuation Method (CVM) and the modified Spike model were used to explore the differences between local residents and floating population on the WTP and its influencing factors. The results showed that: 1) Totally, the willingness payment of local residents and floating population for heatwaves is high, and the former is higher than the latter. 2) The willingness payment of local residents is 68.78 RMB per month, and that of floating population is 46.78 RMB per month. Obviously, there are differences between them. 3) The influencing factors of the WTP for heat waves include the type of residents, gender, education level, occupation, the time that stay in Fuzhou and the economic capacity. The differences of the WTP and the amount of payment for heatwaves between the local residents and the floating population and its influence factors will provide references for Fuzhou and other regions with similar weather to make relevant policies.

Key words: heat waves, willingness to pay (WTP), influence factors, group differences, Fuzhou city