The Impact of Rural Land Mortgage Loans on the Income of Farmers

Abstract

Abstract: The rural areas are faced with the most arduous and onerous task of promoting common prosperity. To achieve common prosperity among farmers and in rural areas, it is necessary to make farmers' income grow continuously; however, the lack of access to credit is an important factor restricting the continuous growth of farmers' income. Taking the rural land mortgage loan policy pilots as a quasi-natural experiment and the rural land mortgage loan policy pilot counties in China's 31 provinces from 2014-2019 as the research objects, this study employs the difference-in-difference method to analyze the impact of rural land mortgage loan policy on farmers' income. The findings show that the rural land mortgage loan policy can significantly improve farmers' income. The mechanism analysis reveals that the rural land mortgage loan policy can promote the rural collective economic development and farmer entrepreneurship, so as to increase farmers' income. The result of further adjustment effect analysis shows that the higher the level of the digital inclusive finance, the greater the improving effect of the rural land mortgage loan policy on the farmers' income. Therefore, it is necessary to increase the pilot scope of the rural land mortgage loan policy so that more farmers can enjoy the institutional dividends brought about by the rural land mortgage loan policy, thereby enabling the sustainable growth in farmers' income and promoting the common prosperity among farmers and in rural areas.

Key words: rural land mortgage loan policy, farmers' income, common prosperity among farmers and in rural areas

CLC Number:

F062

HUANG Ye-wei, QIU Jun-qin. The Impact of Rural Land Mortgage Loans on the Income of Farmers[J]. Journal of Jiangxi University of Finance and Economics, 2023, 0(3): 95-106.

References

[1] 陈宗胜, 沈扬扬, 周云波. 中国农村贫困状况的绝对与相对变动——兼论相对贫困线的设定[J]. 管理世界, 2013, (1): 67-77.
[2] 习近平. 扎实推动共同富裕[J]. 求是, 2021, (20): 4-8.
[3] 严斌剑, 翟允瑞, 周应恒. 省域涉农产业发展指数对农民收入影响及其空间效应[J]. 经济地理, 2022, (12): 162-171.
[4] 邓悦, 吴忠邦, 罗连发. 农业机械化促进了农民增收吗?——基于农村人力资本调节效应的分析[J]. 南京农业大学学报(社会科学版), 2023, (1): 169-180.
[5] Collins D., Morduch J., Rutherford S., Ruthven O.Portfolios of the Poor[M]. New Jersey: Princeton University Press, 2009.
[6] 杨东, 郑家喜, 宋嘉豪. 农村普惠金融发展对农户收入的影响研究[J]. 农村经济, 2021, (1): 104-110.
[7] Luan D., Bauer S.Does Credit Access Affect Household Income Homogeneously Across Different Groups of Credit Recipients? Evidence from Rural Vietnam[J]. Journal of Rural Studies, 2016, 47(10): 186-203.
[8] Adjognon S.G., Liverpool-Tasie L. S. O., Reardon T. A. Agricultural Input Credit in Sub-Saharan Africa:Telling Myth from Facts[J]. Food Policy, 2017, 67(5): 93-105.
[9] 田庆刚, 冉光和, 秦红松, 王定祥. 农村家庭资产金融价值转化及影响因素分析——基于重庆市1046户农户的调查数据[J]. 中国农村经济, 2016, (3): 12-24.
[10] 武丽娟. 土地权能拓展与农民收入增长——来自农地确权的证据[J]. 江西财经大学学报, 2022, (6): 108-119.
[11] De Soto H.The Mystery of Capital:Why Capitalism Triumphs in the West and Fails Everywhere Else[M]. New York: Basic Books, 2000.
[12] 刘贵珍. 推行农村土地承包经营权抵押贷款的可行性研究[J]. 金融理论与实践, 2008, (10): 47-49.
[13] 赵忠奎. 土地承包经营权抵押制度的构建——以土地经营权物权塑造为视角[J]. 江西财经大学学报, 2017, (6): 118-124.
[14] 肖轶, 尹珂. 农村“三权”抵押贷款融资对农户生计策略的影响——基于重庆城乡统筹试验区5区县562户调查数据[J]. 中国农业资源与区划, 2021, (2): 127-135.
[15] 韩俊. 中国农村改革的重点领域及政策走向[J]. 经济体制改革, 2009, (1): 5-11.
[16] 胡文涛. 普惠金融发展研究:以金融消费者保护为视角[J]. 经济社会体制比较, 2015, (1): 91-101.
[17] 王健, 袁士超. 民国农地信贷与小农地权流失: 理解土地兼并的一个视角[J]. 中国农业大学学报(社会科学版), 2022, (2): 40-57.
[18] 程郁, 张云华, 王宾. 农村土地产权抵质押:理论争论、现实困境和改革路径[J]. 金融监管研究, 2014, (10): 10-27.
[19] 黄惠春, 徐章星, 祁艳. 农地流转与规模化经营缓解了农户信贷约束吗?——来自江苏的经验证据[J]. 南京农业大学学报(社会科学版), 2016, (6): 109-120+155.
[20] 黄源, 谢冬梅. “三权分置”背景下农村土地经营权抵押贷款难点和破解思路[J]. 四川师范大学学报(社会科学版), 2017, (2): 51-56.
[21] 陈雪原. 关于“双刘易斯二元模型”假说的理论与实证分析[J]. 中国农村经济, 2015, (3): 34-43.
[22] 陈锡文. 充分发挥农村集体经济组织在共同富裕中的作用[J]. 农业经济问题, 2022, (5): 4-9.
[23] 平卫英,宗潇泳. 民众创业对农村多维范围的非线性动态影响——基于动态门限回归模型[J]. 江西财经大学学报,2021,(6):75-87.
[24] 王轶, 刘蕾. 农民工返乡创业何以促进农民农村共同富裕[J]. 中国农村经济, 2022, (9): 44-62.
[25] Timmons J.A., Spinelli S. New Venture Creation[M]. Singapore: Mc Graw-Hill, 2003.
[26] 赵涛, 刘文光, 边伟军. 科技创业生态群落要素构成与测度研究——基于结构方程模型的实证分析[J]. 经济问题, 2011, (10): 28-32+76.
[27] 梁斌, 冀慧. 失业保险如何影响求职努力?——来自“中国时间利用调查”的证据[J]. 经济研究, 2020, (3): 179-197.
[28] 周茂, 陆毅, 李雨浓. 地区产业升级与劳动收入份额: 基于合成工具变量的估计[J]. 经济研究, 2018, (11): 132-147.
[29] 戴若尘, 王艾昭, 陈斌开. 中国数字经济核心产业创新创业: 典型事实与指数编制[J]. 经济学动态, 2022, (4): 29-48.
[30] 王永仓, 王小华. 数字普惠金融的农民增收效应及作用机制研究[J]. 江南大学学报(人文社会科学版), 2022, (3): 56-77.