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新质生产力赋能乡村产业振兴:理论分析与实证检验

李鸿凯

统计与决策2026,Vol.42Issue(1):11-16,6.
统计与决策2026,Vol.42Issue(1):11-16,6.DOI:10.13546/j.cnki.tjyjc.2026.01.002

新质生产力赋能乡村产业振兴:理论分析与实证检验

New Quality Productivity Empowering Rural Industrial Revitalization:Theoretical Analysis and Empirical Test

李鸿凯1

作者信息

  • 1. 吕梁学院 马克思主义学院,山西 吕梁 033001||山西大学 马克思主义哲学研究所,太原 030006
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摘要

Abstract

As an advanced productivity form that encompasses new technologies,new elements and new models,new quality productivity is the key driving force for comprehensively promoting the revitalization of rural industries.Based on panel data of 30 provinces in China from 2012 to 2023,this paper uses a two-way fixed effects model and mediating effects model to further ex-plore the relationship between new quality productivity and rural industrial revitalization,and also reveals the effect mechanism of the upgrading of rural industrial structure and total factor productivity of agriculture between new quality productivity and rural in-dustrial revitalization.The results show that the development of new quality productivity can positively empower the revitalization of rural industries,and that this conclusion is still valid after a series of robustness tests.Heterogeneity analysis results show that the new quality productivity has a more significant impact on the revitalization of rural industry in the eastern region and the main grain-selling areas.The results of mechanism test confirm that the new quality productivity can promote the revitalization of rural industry through two channels of promoting the upgrading of rural industrial structure and improving agricultural total factor pro-ductivity.

关键词

新质生产力/乡村产业振兴/农村产业结构升级/农业全要素生产率/中介效应

Key words

new quality productivity/rural industrial revitalization/upgrading of rural industrial structure/total factor pro-ductivity of agriculture/mediating effect

分类

管理科学

引用本文复制引用

李鸿凯..新质生产力赋能乡村产业振兴:理论分析与实证检验[J].统计与决策,2026,42(1):11-16,6.

基金项目

山西省吕梁市科技计划项目(2022SHFZ34) (2022SHFZ34)

山西省社会科学界联合会重点课题研究项目(SSKLZDKT2022134) (SSKLZDKT2022134)

统计与决策

1002-6487

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