基于回归模型和FAHP模型的池州市居民对“渔光互补”的选择意愿和满意度调查研究
Research on the Willingness and Satisfaction of Residents in Chizhou City to Choose “Fishery Photovoltaic Complementarity” Based on Regression Model and FAHP Model

利用二元Logistic回归模型和FAHP模型，以池州市居民作为调研对象，通过卡方检验和共线性诊断选出了影响池州市居民对“渔光互补”选择意愿的因素，借助SPSS软件建立二元回归模型，结果显示：是否为本地居民、对项目的了解程度、项目的可行性、政府的支持程度这四个因素对池州市居民是否愿意支持“渔光互补”项目的发展均有正向影响。通过对影响池州市居民对“渔光互补”模式的相关因素进行归类分析，利用模糊层次分析法计算指标得分，从而判断出重要因素，即“渔光互补”模式利于渔业发展。综合以上数据分析以及国家宏观政策，提出了有效的建议，对项目的发展有一定的参考价值。
Using the binary logistic regression model and FAHP model, taking Chizhou residents as the research object, the factors influencing the willingness of Chizhou residents to choose “fishery and photovoltaic complementation” were selected through chi-square test and collinearity diagnosis, and the binary regression model was established with the help of SPSS software, and the results showed that the four factors of whether they were local residents, the degree of understanding of the project, the feasibility of the project and the degree of government support had a positive impact on whether the residents of Chizhou were willing to support the development of the “fishery and photovoltaic complementation” project. By classifying and analyzing the relevant factors influencing the “fishery-PV complementation” model of Chizhou residents, the index score was calculated by using the fuzzy analytic hierarchy process, so as to determine the important factor, that is, the “fishery-PV complementation” model is conducive to the development of fisheries. Based on the above data analysis and national macro policies, effective suggestions are put forward, which have certain reference value for the development of the project.