数字新质生产力对农民共同富裕影响的研究

The Study on the Impact of Digital New Productivity Forces on the Common Prosperity of Farmers

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作者:

吴秋意

导师:

鲁钊阳

导师单位:

经济学院(数字经济学院)

学位:

硕士

语种:

中文

关键词:

农民共同富裕;数字新质生产力;数字经济;共同富裕

摘要:

如何增进农村家庭生活福祉,实现农民共同富裕已成为重要议题。数字新质生产力成为助力农业农村高质量发展、提升农村生产生活质量、实现农民共同富裕的新动力源泉。通过对现有研究的回顾发现,新质生产力与共同富裕的关系已得到广泛探讨,然而,数字新质生产力对农民共同富裕的影响效果及其作用机制仍未得到关注。本研究聚焦于数字新质生产力与农民共同富裕之间的内在联系,构建相关理论假设,并系统阐释其影响路径与机制旨在增进农村福祉,实现农民共同富裕。本文利用2013-2022年间我国30个省市自治区样本数据,证明数字新质生产力对农民共同富裕的影响效果。具体研究内容如下:(1)从物质富裕、精神富裕、分配富裕以及公共服务四个维度构建农民共同富裕测度指标体系;从渗透性要素和赋能性要素两个维度构建数字新质生产力测度指标体系,并利用熵权法计算出我国30个省市自治区的农民共同富裕水平和数字新质生产力水平。(2)利用双向固定效应模型估计数字新质生产力影响农民共同富裕的直接效应,并借助二阶段工具变量法,引入省份地理坡度*滞后一期数字新质生产力交互项以及省份1984年每万人电话机数量*滞后一期数字新质生产力交互项作为工具变量,以处理基准回归的内生性问题。(3)运用替换被解释变量、删除直辖市数据、调整样本时间区间、增加前定控制变量四种稳健性方法检验基准回归结果。(4)根据地理区域、市场化发展水平以及维度指标进行分类回归,探讨数字新质生产力影响农民共同富裕的异质性效果。(5)引入门槛变量即地区经济发展水平与地区金融发展水平,探究数字新质生产力促进农民共同富裕的非线性效应。(6)进一步探究数字新质生产力促进农民共同富裕的机制路径,引入农业产业链延伸和农村劳动力流动变量进行中介效应回归。本文研究结论如下:(1)基准回归结果表明发展数字新质生产力在一定程度上促进了对农民共同富裕发展;工具变量法以及一系列稳健性检验验证了该正向作用的可靠性。(2)异质性分析显示,数字新质生产力促进农民共同富裕的作用在东部地区、市场化水平较高的地区效果更佳;数字新质生产力的渗透性要素与赋能性要素均对农民共同富裕产生正向影响;数字新质生产力对农民共同富裕及其总体富裕度方面影响效果为正,但对共享富裕方面效果为负,说明数字新质生产力在提升农民共同富裕整体发展水平的同时,可能会在一定程度上拉大城乡间、农民群体内部或农村地区间发展差距。(3)门槛效应估计显示,分别在地区经济发展水平和金融发展水平的限制下,数字新质生产力促进农民共同富裕呈现U型态势,即只有当地区经济与金融发展水平已经达到一定基础条件时,数字新质生产力才能发挥其促进作用。(4)中介效应检验了中介机制理论假设,农业产业链延伸以及农村劳动力流动是数字新质生产力促进农民共同富裕的重要中介因子。基于研究结论,重点提出以下几点政策建议:第一、稳步推进数字新质生产力发展,统筹数字要素建设,引导数字技术服务农业农村领域。第二、制定差异化政策策略,重点关注地区间、城乡间以及群体间发展不平衡不均等的问题。第三、打好发展的基础经济堡垒,助力金融赋能数字经济发展,布局农村金融赋能农民共同富裕。第四、疏通数字新质生产力赋能农民共同富裕的路径机制,支持农业产业链高质量发展;加强农村数字化人才培养政策,确保农村发展的劳动力要素基础。

学科:

应用经济学

提交日期

2025-07-02

引用参考

吴秋意. 数字新质生产力对农民共同富裕影响的研究[D]. 西南政法大学,2025.

全文附件授权许可

知识共享许可协议-署名

  • dc.title
  • 数字新质生产力对农民共同富裕影响的研究
  • dc.title
  • The Study on the Impact of Digital New Productivity Forces on the Common Prosperity of Farmers
  • dc.contributor.schoolno
  • 20220202000036
  • dc.contributor.author
  • 吴秋意
  • dc.contributor.affiliation
  • 经济学院(数字经济学院)
  • dc.contributor.degree
  • 硕士
  • dc.contributor.childdegree
  • 经济学硕士学位
  • dc.contributor.degreeConferringInstitution
  • 西南政法大学
  • dc.identifier.year
  • 2025
  • dc.contributor.direction
  • 应用经济学
  • dc.contributor.advisor
  • 鲁钊阳
  • dc.contributor.advisorAffiliation
  • 经济学院(数字经济学院)
  • dc.language.iso
  • 中文
  • dc.subject
  • 农民共同富裕,数字新质生产力,数字经济,共同富裕
  • dc.subject
  • Keywords: common prosperity of farmers; digital new quality productivity; digital economy; common prosperity
  • dc.description.abstract
  • 如何增进农村家庭生活福祉,实现农民共同富裕已成为重要议题。数字新质生产力成为助力农业农村高质量发展、提升农村生产生活质量、实现农民共同富裕的新动力源泉。通过对现有研究的回顾发现,新质生产力与共同富裕的关系已得到广泛探讨,然而,数字新质生产力对农民共同富裕的影响效果及其作用机制仍未得到关注。本研究聚焦于数字新质生产力与农民共同富裕之间的内在联系,构建相关理论假设,并系统阐释其影响路径与机制旨在增进农村福祉,实现农民共同富裕。本文利用2013-2022年间我国30个省市自治区样本数据,证明数字新质生产力对农民共同富裕的影响效果。具体研究内容如下:(1)从物质富裕、精神富裕、分配富裕以及公共服务四个维度构建农民共同富裕测度指标体系;从渗透性要素和赋能性要素两个维度构建数字新质生产力测度指标体系,并利用熵权法计算出我国30个省市自治区的农民共同富裕水平和数字新质生产力水平。(2)利用双向固定效应模型估计数字新质生产力影响农民共同富裕的直接效应,并借助二阶段工具变量法,引入省份地理坡度*滞后一期数字新质生产力交互项以及省份1984年每万人电话机数量*滞后一期数字新质生产力交互项作为工具变量,以处理基准回归的内生性问题。(3)运用替换被解释变量、删除直辖市数据、调整样本时间区间、增加前定控制变量四种稳健性方法检验基准回归结果。(4)根据地理区域、市场化发展水平以及维度指标进行分类回归,探讨数字新质生产力影响农民共同富裕的异质性效果。(5)引入门槛变量即地区经济发展水平与地区金融发展水平,探究数字新质生产力促进农民共同富裕的非线性效应。(6)进一步探究数字新质生产力促进农民共同富裕的机制路径,引入农业产业链延伸和农村劳动力流动变量进行中介效应回归。本文研究结论如下:(1)基准回归结果表明发展数字新质生产力在一定程度上促进了对农民共同富裕发展;工具变量法以及一系列稳健性检验验证了该正向作用的可靠性。(2)异质性分析显示,数字新质生产力促进农民共同富裕的作用在东部地区、市场化水平较高的地区效果更佳;数字新质生产力的渗透性要素与赋能性要素均对农民共同富裕产生正向影响;数字新质生产力对农民共同富裕及其总体富裕度方面影响效果为正,但对共享富裕方面效果为负,说明数字新质生产力在提升农民共同富裕整体发展水平的同时,可能会在一定程度上拉大城乡间、农民群体内部或农村地区间发展差距。(3)门槛效应估计显示,分别在地区经济发展水平和金融发展水平的限制下,数字新质生产力促进农民共同富裕呈现U型态势,即只有当地区经济与金融发展水平已经达到一定基础条件时,数字新质生产力才能发挥其促进作用。(4)中介效应检验了中介机制理论假设,农业产业链延伸以及农村劳动力流动是数字新质生产力促进农民共同富裕的重要中介因子。基于研究结论,重点提出以下几点政策建议:第一、稳步推进数字新质生产力发展,统筹数字要素建设,引导数字技术服务农业农村领域。第二、制定差异化政策策略,重点关注地区间、城乡间以及群体间发展不平衡不均等的问题。第三、打好发展的基础经济堡垒,助力金融赋能数字经济发展,布局农村金融赋能农民共同富裕。第四、疏通数字新质生产力赋能农民共同富裕的路径机制,支持农业产业链高质量发展;加强农村数字化人才培养政策,确保农村发展的劳动力要素基础。
  • dc.description.abstract
  • How to enhance the well-being of rural households and achieve the common prosperity of farmers has become an important issue. Digital new quality productivity has emerged as a new driving force for high-quality development in agriculture and rural areas, improving the quality of rural production and life, and realizing the common prosperity of farmers. Reviewing existing literature, although research on new quality productivity and common prosperity is relatively abundant, studies on digital new quality productivity and its impact on the common prosperity of farmers remain insufficient. This paper explores the relationship between the two, proposes hypotheses on the impact of digital new quality productivity on the common prosperity of farmers, and analyzes its mechanisms in depth, aiming to enhance rural well-being and achieve the common prosperity of farmers.This paper utilizes sample data from 30 provinces, municipalities, and autonomous regions in China from 2013 to 2022 to demonstrate the impact of digital new quality productivity on the common prosperity of farmers. The specific research contents are as follows: (1) Constructing a measurement index system for the common prosperity of farmers from four dimensions: material wealth, spiritual wealth, distributive wealth, and public services; building a measurement index system for digital new quality productivity from two dimensions: penetration elements and enabling elements, and using the entropy weight method to calculate the levels of common prosperity of farmers and digital new quality productivity in 30 provinces, municipalities, and autonomous regions in China. (2) Estimating the direct effect of digital new quality productivity on the common prosperity of farmers using a two-way fixed effects model, and employing the two-stage instrumental variable method, introducing the interaction term of provincial geographical slope*lagged digital new quality productivity and the interaction term of the number of telephones per 10,000 people in 1984*lagged digital new quality productivity as instrumental variables to address endogeneity issues in the baseline regression. (3) Testing the baseline regression results using four robustness methods: replacement the explanatory variable, deletion of municipal data, adjustment of sample time intervals, and addition of predetermined control variables. (4) Conducting classified regressions based on geographical regions, market development levels, and indicator dimensions to explore the heterogeneous effects of digital new quality productivity on the common prosperity of farmers. (5) Introducing threshold variables, namely regional economic development level and regional financial development level, to investigate the nonlinear effects of digital new quality productivity on promoting the common prosperity of farmers. (6) Further exploring the mechanism paths through which digital new quality productivity promotes the common prosperity of farmers, introducing variables of agricultural industry chain extension and rural labor mobility for mediating effect regression.The conclusions of this paper are as follows: (1) The baseline regression results indicate that the development of digital new quality productivity promotes the common prosperity of farmers to a certain extent; the instrumental variable method and a series of robustness tests verify the reliability of this positive effect. (2) Heterogeneity analysis shows that the effect of digital new quality productivity in promoting the common prosperity of farmers is more pronounced in the eastern regions and areas with higher marketization levels; both penetration elements and enabling elements of digital new quality productivity have positive impacts on the common prosperity of farmers; digital new quality productivity positively affects the overall wealth of farmers but negatively affects shared prosperity, suggesting that while it enhances the overall development level of common prosperity among farmers, it may also widen the development gaps between urban and rural areas, within farmer groups, or among rural regions to some extent. (3) Threshold effect estimation reveals that under the constraints of regional economic development level and financial development level, digital new quality productivity promotes the common prosperity of farmers in a U-shaped manner, meaning that only when regional economic and financial development levels have reached certain foundational conditions can digital new quality productivity exert its promoting effect. (4) Mediating effect tests confirm the theoretical hypotheses, showing that agricultural industry chain extension and rural labor mobility are important mediating factors through which digital new quality productivity promotes the common prosperity of farmers.Based on the research conclusions, the following policy recommendations are emphasized: First, steadily advance the development of digital new quality productivity, coordinate the construction of digital elements, and guide digital technology services in the agricultural and rural sectors. Second, formulate differentiated policy strategies, focusing on addressing development imbalances and inequalities among regions, urban and rural areas, and different groups. Third, strengthen the foundational economic fortresses, support financial empowerment of the digital economy, and plan for rural financial empowerment to achieve the common prosperity of farmers. Fourth, streamline the mechanism paths through which digital new quality productivity empowers the common prosperity of farmers, support high-quality and modern development of the agricultural industry; strengthen policies for cultivating digital talents in rural areas, ensuring the labor element foundation for rural development.
  • dc.date.issued
  • 2025-05-28
  • dc.date.oralDefense
  • 2025-05-15
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