Forestland transfer between rural households in Jiangxi, China: Differentiated effects of actual and perceived tenure security

IF 1.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Natural Resource Modeling Pub Date : 2021-08-12 DOI:10.1111/nrm.12327
Xiaojing Liu, Longjunjiang Huang, Juan Du, Fangting Xie, Shubin Zhu
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引用次数: 4

Abstract

This study analyzes the potentially differentiated impacts of actual and perceived tenure security on rural households' forestland transfer behavior. Logit and Tobit models were estimated using repeated survey data from 505 households in 50 villages of Jiangxi Province during 2017–2018. The results show that there is a great difference in the influence of actual and perceived tenure security on the transfer behavior. Issuing forest tenure certificates promotes the renting out of forestland by households but has no significant effect on forestland renting in. Meanwhile, perceived tenure security has a significant effect on forestland transfer behavior. Households' understanding and evaluation of the existing tenure policy also has a significantly positive impact on household's rent‐out behavior. Further, the logging quota system has a significantly negative effect on household's renting in and out behavior. Our analysis suggests that the government should strive to improve the awareness of rural families regarding forest tenure policy and that the logging quota should be modified to incentivize farmers' active participation in forest management.
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江西农户林地流转:实际和感知权属保障的差异效应
本研究分析了实际保有权保障和感知保有权保障对农户林地流转行为的潜在差异影响。使用2017-2018年江西省50个村庄505户家庭的重复调查数据估计Logit和Tobit模型。研究结果表明,实际聘用保障和感知聘用保障对员工转移行为的影响存在较大差异。发放林权证书促进了农户出借林地,但对农户出借林地的影响不显著。同时,权属安全感感知对林地流转行为有显著影响。住户对现有租住政策的理解和评价对住户的出租行为也有显著的正向影响。此外,采伐配额制度对家庭的租入租出行为有显著的负向影响。我们的分析表明,政府应努力提高农村家庭对林权政策的认识,并应修改采伐配额,以激励农民积极参与森林经营。
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来源期刊
Natural Resource Modeling
Natural Resource Modeling 环境科学-环境科学
CiteScore
3.50
自引率
6.20%
发文量
28
审稿时长
>36 weeks
期刊介绍: Natural Resource Modeling is an international journal devoted to mathematical modeling of natural resource systems. It reflects the conceptual and methodological core that is common to model building throughout disciplines including such fields as forestry, fisheries, economics and ecology. This core draws upon the analytical and methodological apparatus of mathematics, statistics, and scientific computing.
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