首页|退耕还林工程对缩小农户收入差距的影响——基于3 231个农户样本的实证分析

退耕还林工程对缩小农户收入差距的影响——基于3 231个农户样本的实证分析

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基于2011-2020 年中国健康与养老追踪调查数据库中25 个省份3 231 个农户样本的大型微观样本数据,采用再中心化影响函数(RIF)模型,分析退耕还林工程对农户收入差距的影响及其多维异质性特征.研究发现:(1)退耕还林工程能够显著缩小农户收入差距,退耕补助每多发放1%,基尼系数下降0.078,这一结果在替换被解释变量与解释变量后依然稳健;(2)从退耕农户收入差距与非退耕农户收入差距的差异分析结果来看,相较于非退耕农户,退耕农户收入差距更小,其收入分位距与基尼系数均显著低于非退耕农户;(3)从连续退耕与非连续退耕农户的异质性分析结果来看,退耕还林工程对连续退耕农户收入差距的缩小作用强于非连续退耕农户;(4)从异质性分析结果来看,退耕还林工程对农户收入差距的缩小效应在不同受教育程度农户中存在异质性,对受教育程度低的农户影响更明显.
The Impact of the Project of Returning Farmland to Forests on Narrowing the Income Gap of Rural Households—Empirical Analysis Based on 3 231 Sample Rural Households
⑴ Background——How to steadily increase the income of low-income rural households and narrow the in-come gap of rural households through ecological protection and restoration projects is related to the sustainable development of ecological protection and restoration projects.It is necessary to analyze the impact of the project of returning farmland to forest on the income gap of rural households from a new perspective of the income increase and common prosperity effect of ecological projects,so as to provide a basis for the income increase effect of eco-logical protection and restoration projects and promote common prosperity.⑵ Methods——This paper first proposed the research hypotheses based on the literature review and theo-retical analysis.Then,based on the large-scale micro-sample data of 3 231 sample rural households from 25 provinces in the China Health and Retirement Longitudinal Study(CHARLS)Database from 2011 to 2020,U-sing the Recentered Influence Function(RIF)model,this paper analyzed the impact of the project of returning farmland to forests on the income gap of rural households and its multi-dimensional heterogeneity characteristics.⑶ Results——First,the project of returning farmland to forests has significantly increased the rural house-holds'income and narrowed the income gap between the rural households.The Gini coefficient decreased by 0.078 for every 1%increase in the subsidy for returning farmland to forests.After replacing the explained and ex-planatory variables,the Gini coefficient remains stable.Second,the income gap of the rural households who re-turned farmland to forests was smaller than that of the rural households who did not return farmland to forests,and their income quantile range and Gini coefficient were significantly lower than those who did not return farm-land to forests.Third,the effect of the project of returning farmland to forests on narrowing the income gap of the rural households who continuously returned farmland to forests was greater than that of the rural households who did not continuously return farmland to forests.Fourth,the impact of the project of returning farmland to forests on the farmers with lower education was more obvious than that of the farmers with higher education.⑷ Conclusions and Discussions——First,pay attention to the effect of the subsidy for returning farm-land to forests to increase the rural households'income,give full play to the social security role of the subsidy for returning farmland to forests,and appropriately raise the subsidy standards.Second,increase the attention and support for the low-income rural households,the rural households who returned farmland to forests on a lar-ger scale and other groups with weak income growth,promote the development assistance and public policies,and further improve the relevant policies of the project of returning farmland to forests.Third,appropriately ex-tend the subsidy period,while combining the local natural ecological conditions and resource factors endowment,encourage the farmers to plant economic forests.Fourth,implement the distribution policy of subsidies for retur-ning farmland to forests in a targeted manner,and strengthen the agricultural technology training and employment guidance for the farmers with low education levels.

returning farmland to forestsrural householdsincome gapinfluence function

孔凡斌、王永成、陆雨、徐彩瑶、翟郡

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浙江农林大学经济管理学院,杭州 311300

南京林业大学 数字林业与绿色发展研究院,南京 210037

浙江农林大学浙江省乡村振兴研究院,杭州 311300

退耕还林 农户 收入差距 影响函数

国家自然科学基金面上项目国家自然科学基金青年项目国家自然科学基金青年项目

420712834230132872203095

2024

林业经济问题
福建农林大学,中国林业经济学会

林业经济问题

CSTPCDCHSSCD北大核心
影响因子:0.732
ISSN:1005-9709
年,卷(期):2024.44(3)