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Research On Multi-main Body Cooperative Governance Of Industrial Poverty Alleviation In Four Prefectures Of Southern Xinjiang

Posted on:2023-02-22Degree:MasterType:Thesis
Country:ChinaCandidate:X YuFull Text:PDF
GTID:2569306848492394Subject:Applied Economics
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The crucial task of poverty alleviation was successfully completed by 2020.According to the Ministry of Agriculture and Rural Affairs,67 percent of registered poor households in China got out of poverty through industrial assistance.As an important measure to win the battle against poverty,industrial poverty alleviation undertakes the dual tasks of promoting poverty alleviation and economic development.Therefore,it is necessary to summarize the experience of industrial poverty alleviation,explore the mechanism of synergy between multiple subjects,and promote the orderly connection between industrial poverty alleviation and industrial prosperity.At the same time,the four prefectures of Xinjiang,once deeply impoverished areas,have completed the task of poverty alleviation under the premise of a large poverty-stricken population base,and have certain regional characteristics in industrial poverty alleviation,which can be explored regularly.The no.1 DOCUMENT of the CENTRAL Committee of the COMMUNIST Party of China(CPC)in 2022 calls for continued efforts to consolidate and upgrade industries with distinctive features in poverty-stricken areas,and to ensure the policy of poverty alleviation by focusing on supporting the coordination of various resources,factors and entities.This thesis mainly explores the logic behind the successful industrial poverty alleviation collaborative governance cases of the four prefectures in southern Xinjiang and the structural relationship between them and collaborative performance.Firstly,the following questions are raised: What is the basic theory of multi-subject collaborative governance of industrial poverty alleviation? What are the rights,responsibilities and interests of multiple subjects? And how to optimize this synergy process? Secondly,the relationship between collaborative governance and collaborative performance is demonstrated from two aspects of theoretical model and empirical model.In the theoretical model,through the construction of SFIC-G model,the behavior logic of collaborative subjects in Southern Xinjiang is analyzed with practical cases,and the key factors for success are extracted.In the aspect of empirical model,the structural relationship between collaborative governance and collaborative performance of industrial poverty alleviation in Southern Xinjiang was analyzed based on structural equation model.Finally,after industrial poverty alleviation,countermeasures and suggestions are put forward for multi-subject collaborative governance in the process of rural revitalization to help industrial poverty alleviation and industrial prosperity connect.The main conclusions of this thesis are as follows :(1)to achieve synergistic efficiency in industrial poverty alleviation,it must be a total factor aggregation of initial conditions,catalytic leadership,institutional design,collaborative process and follow-up guarantee.In terms of initial conditions,it makes full use of local resource endowment conditions and conducts targeted selection of industrial poverty alleviation projects based on local characteristic resource types.In terms of catalytic leadership,the government should have the awareness to make up for shortcomings and evaluate the situation based on the screening of science industry.In terms of system design,we not only attach importance to the function of formal system,but also attach importance to the communication,incentive and interest connection of informal system.In the process of coordination,the interest connection based on trust can stimulate the vitality of each subject.In terms of follow-up support,we should not only guarantee the bottom line,but more importantly,establish a link between industry poverty alleviation and the market.Collaborative governance for poverty alleviation(2)industry,industry status quo for poverty alleviation in the research area,catalytic leadership > security > follow-up system design > > collaborative process starting conditions,government level industry screening and helping to drive is to promote industrial cooperative performance of the power source for poverty alleviation,the future also should strengthen the main agglomeration process,strengthen the synergy starting conditions.(3)The order of industrial poverty alleviation performance is economic performance > satisfaction > institutional performance.The poor households in the surveyed areas have achieved economic development,increased employment income and enhanced self-development capacity through industrial poverty alleviation.In the future,the follow-up institutional guarantee should be strengthened to build a protection network from "support" to "vibration".(4)In terms of the structural relationship between synergy behavior and industrial poverty alleviation performance,based on the scale design,the relationship between eight variables in the optimized SFIC model is used to further verify the way that synergy model has a relationship with industrial poverty alleviation.The innovations of this study are as follows :(1)the perspective of collaborative governance is added to the study of industrial poverty alleviation,which expands the scope of the study.The long-term mechanism for industrial development can be established by improving collaborative governance capacity to ensure that poor households do not return to poverty,which can provide decision-making basis and experience reference for the government and other poverty-stricken areas.(2)The optimized and adjusted SFIC-G model is constructed to sort out the logic,empirical analysis,dilemma and countermeasures of the collaborative governance of industrial poverty alleviation in Southern Xinjiang,which is an innovation of the model in terms of research objects and regions.
Keywords/Search Tags:Collaborative governance, Poverty alleviation by industry, Southern Xinjiang four prefectures
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