Knowledge Network Node

Farmers’ Livelihood Vulnerability and Adaptation Model in Minqin Oasis under the Arid Environment StressChinese Full Text

WU Kongsen;LIU Qian;ZHANG Jian;YANG Xinjun;College of Urban and Environmental Sciences,Northwest University;College of Geography and Tourism,Chongqing Normal University;

Abstract: The research data was obtained from questionnaires and interviews, and an evaluation index system was constructed according to the adjusted VSD vulnerability assessment framework to measure the livelihood vulnerability of farmers. The barrier model is applied to identify the main contributing factors of livelihood vulnerability’s formation, and the livelihood adaptation choice and modes were explored. The results show that: 1) The livelihood vulnerability and livelihood exposure--sensitivity index decrease as the non-agricultural level of farmers’ livelihood increase, and the adaptability of part-time farmers(whose livelihoods are agriculture and with little some others 、or whose livelihoods are with little agriculture) are higher than the franchise farmers(pure agricultural households and non-agricultural households); 2) The main contributing factors of livelihood vulnerability of different farmers show the same trend in different dimensions. The proportion of planting income, per capita water resource allocation, drinking water quality, per capita quantity of inferior cultivated land, per capita non-agricultural income, application of agricultural technology and training, housing situation and the amount of capital of large livestock promote the formation of livelihood vulnerability from different dimensions. 3) According to the factors contributing to livelihood vulnerability and the adaptive behavior choice, the livelihood adaptation can be summarized as "water-saving technology + facility agriculture adaptation model", "planting structure adjustment + water-saving technology adaptation model" and " planting scale reduction + labor transfer adaptation model", which have a positive mitigation effect on farmers’ livelihood vulnerability.
  • DOI:

    10.15957/j.cnki.jjdl.2019.12.018

  • Series:

    (A) Mathematics/ Physics/ Mechanics/ Astronomy; (J) Economics & Management

  • Subject:

    Agriculture Economy

  • Classification Code:

    F323.8

  • Mobile Reading
    Read on your phone instantly
    Step 1

    Scan QR Codes

    "Mobile CNKI-CNKI Express" App

    Step 2

    Open“CNKI Express”

    and click the scan icon in the upper left corner of the homepage.

    Step 3

    Scan QR Codes

    Read this article on your phone.

  • HTML
  • CAJ Download
  • PDF Download

Download the mobile appuse the app to scan this coderead the article.

Tips: Please download CAJViewer to view CAJ format full text.

Download: 1481 Page: 157-167 Pagecount: 11 Size: 1868K

Related Literature
  • Similar Article
  • Reader Recommendation
  • Associated Author