中国建设社会主义新农村离不开广大农民的积极参与,因此以试图调动农民在新农村建设中参与乡村事务积极性为主要目的,提出以集体社会关联度作为衡量农民积极性的综合指标,建立集体社会关联度指标体系.采用RAGA和PPC模型耦合的方法对哈尔滨道外区巨源镇7个行政村集体社会关联度进行综合评价和影响因素重要性排序,并分别利用灰色关联投影法、模糊综合评价法及熵权系数法等对其评价结果进行验证,结果证明RAGA和PPC模型耦合方法可行.RAGA和PPC模型耦合的方法可以有效地分析我国农村集体社会关联强度的定性问题.
The construction of a new, socialist countryside cannot be successful without the active participation of peasants. The main purpose of this paper is to present a tool that will allow leaders to verify the degree of peasant involvement in rural affairs. We developed an index system that measures the degree of collective social correlation. To verify its practicality and effectiveness, we tested seven administrative villages in Juyuan township of Daowai District, Harbin, the capital city of Heilongjiang province in Northeastern China. The importance of the influencing factors was ranked based on the coupled RAGA- PPC model. The results were verified using the grey relation projection method, the fuzzy comprehensive evaluation method, the entropy-weight coefficient method, etc. The results indicate the feasibility of our coupled RAGA-PPC model.