{"title":"互联网的普及对穷人有利吗?来自面板数据分析的证据","authors":"Van-Phuc Phan","doi":"10.1016/j.telpol.2023.102612","DOIUrl":null,"url":null,"abstract":"<div><p>The impacts of internet use on income and poverty status are contentious despite extensive research efforts. This paper re-examines these influences using five-wave panel data extracted from the Vietnam Access to Resources Household Survey (VARHS). A two-step system called Generalized Methods of Moments (GMM) and Propensity Score Matching (PSM) is the primary metric for estimating internet-income and internet-poverty correlations. The analysis revealed that internet use assisted rural households, including the poor ones, in fostering their livelihoods in the 2008–2016 period: (1) internet access increased the average annual household income per capita by 4.5 million Vietnamese dongs, accounting for at least 17% of the overall income; (2) it decreased the probability of being poor by around 4%. This study suggests that the universalisation of the internet, along with improvements in digital literacy and digital applications provided for rural dwellers, particularly the needy, should be essential for poverty reduction programmes in the context of developing countries.</p></div>","PeriodicalId":22290,"journal":{"name":"Telecommunications Policy","volume":"47 8","pages":"Article 102612"},"PeriodicalIF":5.9000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Is the internet penetration pro-poor? Evidence from a panel data analysis\",\"authors\":\"Van-Phuc Phan\",\"doi\":\"10.1016/j.telpol.2023.102612\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The impacts of internet use on income and poverty status are contentious despite extensive research efforts. This paper re-examines these influences using five-wave panel data extracted from the Vietnam Access to Resources Household Survey (VARHS). A two-step system called Generalized Methods of Moments (GMM) and Propensity Score Matching (PSM) is the primary metric for estimating internet-income and internet-poverty correlations. The analysis revealed that internet use assisted rural households, including the poor ones, in fostering their livelihoods in the 2008–2016 period: (1) internet access increased the average annual household income per capita by 4.5 million Vietnamese dongs, accounting for at least 17% of the overall income; (2) it decreased the probability of being poor by around 4%. This study suggests that the universalisation of the internet, along with improvements in digital literacy and digital applications provided for rural dwellers, particularly the needy, should be essential for poverty reduction programmes in the context of developing countries.</p></div>\",\"PeriodicalId\":22290,\"journal\":{\"name\":\"Telecommunications Policy\",\"volume\":\"47 8\",\"pages\":\"Article 102612\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Telecommunications Policy\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0308596123001234\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telecommunications Policy","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0308596123001234","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
Is the internet penetration pro-poor? Evidence from a panel data analysis
The impacts of internet use on income and poverty status are contentious despite extensive research efforts. This paper re-examines these influences using five-wave panel data extracted from the Vietnam Access to Resources Household Survey (VARHS). A two-step system called Generalized Methods of Moments (GMM) and Propensity Score Matching (PSM) is the primary metric for estimating internet-income and internet-poverty correlations. The analysis revealed that internet use assisted rural households, including the poor ones, in fostering their livelihoods in the 2008–2016 period: (1) internet access increased the average annual household income per capita by 4.5 million Vietnamese dongs, accounting for at least 17% of the overall income; (2) it decreased the probability of being poor by around 4%. This study suggests that the universalisation of the internet, along with improvements in digital literacy and digital applications provided for rural dwellers, particularly the needy, should be essential for poverty reduction programmes in the context of developing countries.
期刊介绍:
Telecommunications Policy is concerned with the impact of digitalization in the economy and society. The journal is multidisciplinary, encompassing conceptual, theoretical and empirical studies, quantitative as well as qualitative. The scope includes policy, regulation, and governance; big data, artificial intelligence and data science; new and traditional sectors encompassing new media and the platform economy; management, entrepreneurship, innovation and use. Contributions may explore these topics at national, regional and international levels, including issues confronting both developed and developing countries. The papers accepted by the journal meet high standards of analytical rigor and policy relevance.