首页|数字经济对相对贫困的影响——基于CFPS数据的实证研究

数字经济对相对贫困的影响——基于CFPS数据的实证研究

THE IMPACT OF DIGITAL ECONOMY ON RELATIVE POVERTY:AN EMPIRICAL RESEARCH BASED ON CFPS DATE

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中国脱贫攻坚目前已由"消除绝对贫困"向"缓解相对贫困"转变.探讨数字经济背景下相对贫困问题的数字化治理路径,对于建立相对贫困问题的处理机制有重要意义.利用2012-2020 年宏观城市数字经济指数和微观家庭贫困状况(CFPS)数据,探究了数字经济对相对贫困的影响及作用机理.研究结果表明:数字经济能够从整体上缓解相对贫困.区域差异、户口类型和经济发展水平不同等,均会使数字经济的减贫效应产生异质性效果.相比东中地区和中心城市,数字经济对西部地区和外围城市的减贫效果更显著.产业结构是数字经济影响家庭相对贫困的重要机制.各地区数字经济发展战略应因地制宜,通过加快贫困地区信息基础设施,建设借助数字化工具建立长效扶贫机制,加快推动数字产业化和产业数字化转型,实现产业结构升级.
China's poverty alleviation efforts have changed from"eliminating absolute poverty"to"allevia-ting relative poverty".In the context of digital economy,it is important to explore the digital governance path of relative poverty in China for establishing a mechanism to deal with relative poverty problems.We use the macro urban digital economy index and micro household poverty status(CFPS)from 2012 to 2020 to explore the impact and mechanism of the digital economy on relative poverty.The findings show that the digital econo-my can alleviate relative poverty.Moreover,regional differences,household types and economic development levels have a heterogeneous impact on the poverty reduction effect of the digital economy.Compared to the east-central regions and central cities,the digital economy has a more significant effect on poverty reduction in western regions and peripheral cities.We also have found that industrial structure is an important mecha-nism that the digital economy affects the relative poverty of households.Based on the above conclusions,we proposed that the development strategies of digital economy in various regions should be tailored to local condi-tions,which could accelerate the information infrastructure in poverty-stricken areas and establish long-term poverty alleviation mechanisms by the digital tools.They can accelerate the promotion of digital industrializa-tion and industrial digital transformation to achieve industrial structure upgrading.

digital economyindustrial structurerelative povertypoverty reduction effect

郑丽琳、黄卓

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安徽财经大学 管理科学与工程学院,安徽 蚌埠 233000

数字经济 产业结构 相对贫困 减贫效应

2024

河南工业大学学报(社会科学版)
河南工业大学

河南工业大学学报(社会科学版)

CHSSCD
影响因子:0.361
ISSN:1673-1751
年,卷(期):2024.40(5)