IDEAS home Printed from https://ideas.repec.org/a/ags/asagre/316950.html
   My bibliography  Save this article

Analysis of Factors Influencing Residents' Satisfaction with Pairing Aid Policy in Xinjiang : Based on the Data from Three Prefectures in Southern Xinjiang

Author

Listed:
  • YUSAN, Osman

Abstract

This article concentrates on evaluating residents' satisfaction with the implementation of the pairing aid policy in Xinjiang Uygur Autonomous Region. It introduces the key factors influencing the evaluation of residents' satisfaction with the performance of the pairing aid policy in Xinjiang by investigating the related data acquired from 12 field studies. It builds a binary logistic regression model via modern econometrics theory and utilizes the regression model to conduct the empirical analysis of influencing factors. The results reveal that there is no variation between the residents' education level, ethnicity, location, and satisfaction with the work of village cadres on the residents' evaluation of the implementation effect of the pairing aid policy in Xinjiang. Besides, ten variables such as residents' gender, age, revenue, occupation, whether they are rural residents, and satisfaction level (pairing aid policy in Xinjiang, state subsidy policy, medical improvement, education improvement, housing condition improvement) are steady and significant factors affecting residents' satisfaction with the implementation effect of pairing aid policy in Xinjiang. Finally, based on the analysis and findigns, it proposes corresponding countermeasures.

Suggested Citation

  • YUSAN, Osman, 2021. "Analysis of Factors Influencing Residents' Satisfaction with Pairing Aid Policy in Xinjiang : Based on the Data from Three Prefectures in Southern Xinjiang," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 13(06), June.
  • Handle: RePEc:ags:asagre:316950
    DOI: 10.22004/ag.econ.316950
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/316950/files/Analysis%20of%20Factors%20Influencing%20Residents%27%20Satisfaction%20with%20Pairing%20Aid%20Policy%20in%20Xinjiang%20%3A%20Based%20on%20the%20Data%20from%20Three%20Prefectures%20in%20Southern%20Xinjiang.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.316950?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Agribusiness;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:asagre:316950. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.