革命老区脱贫攻坚与乡村振兴耦合协调及障碍因子诊断基于川陕革命老区的建档立卡户调查数据

Coupling Coordination Between Poverty Alleviation and Rural Revitalization in the Old Revolutionary Base Areas and the Diagnosis of Obstacle Factors——Based on the Survey Data of Registered Households in Sichuan-Shaanxi Old Revolutionary Base Area

  • 摘要:
    目的/意义 促进脱贫攻坚与乡村振兴有效衔接是当前我国“三农”工作的重中之重,通过实证分析川陕革命老区脱贫攻坚与乡村振兴耦合协调关系,以期为革命老区统筹推进脱贫攻坚与乡村振兴衔接工作提供思路。
    方法/过程 基于2021年对川陕革命老区建档立卡户的微观调查数据,科学构建脱贫攻坚与乡村振兴耦合协调评价指标体系,通过熵权法、耦合协调度模型和障碍因子诊断模型,对川陕革命老区脱贫攻坚与乡村振兴的发展现状、衔接状况和主要障碍因子进行评价分析。
    结果/结论 研究发现:(1)从整体来看,两大系统的耦合协调度为0.617,处于初级协调水平。(2)从乡镇来看,10个乡镇的耦合协调度都处于0.279~0.963,同时均属于乡村振兴滞后型。(3)乡风文明、经济发展能力、产业兴旺和生活富裕这4个指标是制约两大系统耦合协调的主要准则层指标;家庭成员教育文化娱乐消费支出强度、家庭成员受教育水平、家庭人均纯收入水平和扶贫小额信贷对家庭增收帮助水平是制约两大系统耦合协调的主要指标层指标。

     

    Abstract:
    Objective/Meaning Promoting the effective connection between poverty alleviation and rural revitalization is the top priority of the current “three rural work” in our country. Through the empirical analysis of the coupling coordination relationship between poverty alleviation and rural revitalization in the old revolutionary base areas of Sichuan and Shaanxi, it was expected to provide ideas for the overall promotion of the connection between poverty alleviation and rural revitalization in the old revolutionary base areas.
    Methods/Procedures Based on the micro-survey data of the registered households in the Sichuan-Shaanxi old revolutionary base areas in 2021, the index system of coupling coordination evaluation of poverty alleviation and rural revitalization was scientifically constructed. Through the entropy weight method, the coupling coordination degree model and the obstacle factor diagnosis model, the development status, convergence status and main obstacle factors of poverty alleviation and rural revitalization in the old revolutionary base areas of Sichuan and Shaanxi were evaluated and analyzed.
    Results/Conclusions The results showed that: (1) On the whole, the coupling coordination degree of the two systems was 0.617, which was at the primary coordination level. (2) From the perspective of villages and towns, the coupling coordination degree of 10 villages and towns was 0.279-0.963, and all of them belonged to the lagging type of rural revitalization. (3) The four indexes of rural civilization, economic development ability, industrial prosperity and wealthy life were the main criterion-layer indexes that restricted the coupling and coordination of the two systems. The intensity of family members’ consumption expenditure on education, culture and entertainment, the education level of family members, the per capita net income level of family members and the help level of poverty alleviation microfinance to increase the family income were the main indicators that restricted the coupling and coordination of the two systems.

     

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