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Analyzing the behavioural mechanism of farmland abandonment in the hilly mountainous areas in China from the perspective of farming household diversity

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  • He, Yafen
  • Xie, Hualin
  • Peng, Chaozhong

Abstract

Revealing the mechanism under the occurrence of farmland abandonment from the perspective of farming household diversity is conducive to proposing well-directed farmland protection policies. With a thorough consideration and study of cases in some hilly mountainous areas in China, this paper uses behaviour decision models of farming households to systematically understand and analyse the behavioural mechanism leading to farmland abandonment by different types of farming households, including aged households, stable part-time households, unstable part-time households and pure households. The mechanism is empirically analysed with a logistic regression model by household survey data collected from Jiangxi and Guizhou, 2 Chinese provinces, and the results observed as follows: (1) age is a key determinant of farmland abandonment of aged households, and as the age of farm labourers increases by one year, the probability of farmland abandonment increases by 8.5 %; (2) off-farm labourers is a key determinant of farmland abandonment of stable part-time households, and for each additional number of off-farm labourers, the abandonment probability increases by 41.4 %; (3) plot features such as land quality, irrigation and distance to home, are the main determinants affecting farmland abandonment of pure households; and (4) high possibility for unstable part-time households not to abandon farmland. A series of policy measures targeted for diverse farming households are therefore finally proposed to alleviate the farmland abandonment in hilly mountainous areas and other areas with similar problems.

Suggested Citation

  • He, Yafen & Xie, Hualin & Peng, Chaozhong, 2020. "Analyzing the behavioural mechanism of farmland abandonment in the hilly mountainous areas in China from the perspective of farming household diversity," Land Use Policy, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:lauspo:v:99:y:2020:i:c:s0264837719319544
    DOI: 10.1016/j.landusepol.2020.104826
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