| 易地扶贫搬迁对农户收入及收入差距的影响——基于陕南三市1680份农户数据 |
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| 引用本文： | 朱永甜,余劲.易地扶贫搬迁对农户收入及收入差距的影响——基于陕南三市1680份农户数据[J].资源科学,2021,43(10):2013-2025. |
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| 作者姓名： | 朱永甜 余劲 |
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| 作者单位： | 西北农林科技大学经济管理学院,杨凌 712100 |
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| 基金项目： | 国家自然科学基金项目(71874139);国家重点研发计划“政府间国际科技创新合作”重点专项(2017YFE0181100);陕西省哲学社会科学重大理论与现实问题研究项目(2021ND0387) |
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| 摘 要： | 在2020年农村绝对贫困问题全面消除、相对贫困问题成为未来扶贫工作重心的现实背景下,易地扶贫搬迁作为脱贫攻坚的头号工程,其对农户收入及收入差距的影响亟待研究。本文采用2017年陕南3市1680份农户调研数据,在考虑样本选择偏差的基础上,使用内生转换回归模型和Field分解法,探究了参与易地扶贫搬迁对农户收入及收入差距的影响及作用路径。研究表明：①基于反事实假设,未搬迁农户如果参与易地扶贫搬迁,其家庭总收入将增长2.56%。即易地扶贫搬迁有效提高了农户家庭总收入,且收入增长呈现明显的非农驱动特征。②参与易地扶贫搬迁对降低农户内部收入差距的贡献率为1.56%,其中低收入群体生计策略非农转型程度更高、收入增长幅度更大。③相比于扩大农业收入差距,参与易地扶贫搬迁对缩小非农收入差距的贡献更大,是降低农户内部收入差距的主要作用路径。未来需结合新时代背景继续推进易地扶贫搬迁政策,将盘活迁出地的土地资源和稳就业作为搬迁后续工作的核心。
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| 关 键 词： | 易地扶贫搬迁 农户收入 收入差距 内生转换回归（ESR） Field分解 陕南 |
| 收稿时间： | 2020-09-30 |
| 修稿时间： | 2021-01-19 |
Impact of poverty alleviation relocation on farmers’ income and income gaps: A case study of 1680 households in Southern Shaanxi |
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| ZHU Yongtian,YU Jin.Impact of poverty alleviation relocation on farmers’ income and income gaps: A case study of 1680 households in Southern Shaanxi[J].Resources Science,2021,43(10):2013-2025. |
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| Authors: | ZHU Yongtian YU Jin |
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| Institution: | College of Economics and Management, Northwest A&F University, Yangling 712100, China |
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| Abstract: | In the context of the complete elimination of absolute rural poverty in 2020 and relative poverty becoming the focus of future poverty alleviation work, the impact of poverty alleviation relocation — the number one project for poverty alleviation on farmers’ income and income gaps urgently need to be studied. Based on the consideration of sample selection bias, using 1680 farming households’ survey data of Southern Shaanxi in 2017, this study explored the impact and influence path of participating in relocation on farmers’ income and income gaps using the endogenous switching regression model and the Field decomposition method. The results show that based on counterfactual assumptions, if non-relocated farmers participate in poverty alleviation relocation, their total household income would increase by 2.56%. Poverty alleviation relocation effectively increased total household income of farmers, and the income growth showed obvious non-agricultural employment-driven characteristics. The contribution rate of relocation to reducing the income gaps was 1.56%. Low-income farmers had a higher degree of non-agricultural transformation and greater income growth. Compared with expanding the agricultural income gap, participating in relocation contributed more to narrowing the non-agricultural income gap, which was the main path to reduce income gaps. In the future, it is necessary to continue to promote the relocation policy in light of the new development context, and make revitalizing the land resources and stabilizing employment the core of the follow-up work of the relocation. |
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| Keywords: | poverty alleviation relocation farmers’income income gaps endogenous switching regression field decomposition Southern Shaanxi |
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