Farmers’ Intentions to Lease Forestland: Evidence from Rural China | Land Portal

Informations sur la ressource

Date of publication: 
mars 2020
Resource Language: 
ISBN / Resource ID: 
10.3390/land9030078
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Copyright details: 
© 2020 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article.

In the last decade, despite considerable research developed for the forestland leasing market, little has been published in terms of econometric results on determinants of intentions and behaviors of Chinese farmers. With respect to leasing forestland, this study uses a Bayesian logit model to examine the factors that influence farmers’ intentions, using household data collected in one county in 2017. The results show that farmers’ past experience of leasing forestlands have significant impacts on their leasing intentions. Once farmers participated in leasing in or leasing out forestland in the last five years, it was shown that they will have stronger intentions of doing so in the future. Farmers will neither lease in or out forestland if the leasing profits are less than the profits originated from forestland management. As such, household head age, household population, proportion of income from nonfarm sources to total income, and security of rights to forestland use are significant factors in influencing farmers’ decisions on leasing in forestland. On the other hand, household head age and educational level, proportion of income from nonfarm sources to total income, and importance of forestland in terms of inheritance are significant factors in influencing farmers’ decisions on leasing it out. Results imply that institutional and market factors, which have impacts on transaction costs, are important for farmers in making decisions on forestland leases. Policy implications to reduce institutional intervention are discussed.

Auteurs et éditeurs

Author(s), editor(s), contributor(s): 

Li, Xiaoyong
Cirella, T. Giuseppe
Wen, Yali
Xie, Yi

Publisher(s): 

Fournisseur de données

Concentration géographique

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