Mobile phones, household welfare, and women’s empowerment: evidence from rural off-grid regions of Bangladesh

Hossain, Monzur; Samad, Hussain A.

doi:10.1080/02681102.2020.1818542

Cited by 29 publications

(11 citation statements)

References 25 publications

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“…The first is instrumental variable‐based (IV‐based) methods, including the endogenous treatment regression (ETR) model (Ma & Abdulai, 2017; Stata Press, 2019), endogenous switching regression (ESR) model (Ma, Zheng, & Yuan, 2021; Rodriguez, 2022), and control function approach (Dohmwirth & Liu, 2020; Wooldridge, 2015). The second refers to nonparametric methods, such as the propensity score matching (PSM) approach (Dohmwirth & Liu, 2020; Zheng & Lu, 2021), augmented inverse probability weighted (AIPW) estimator (Hossain & Samad, 2021), and inverse probability weighted regression adjustment (IPWRA) estimator (Zheng & Ma, 2021). The PSM, AIPW, and IPWRA cannot address selection bias associated with unobserved factors.…”

Section: Methodsmentioning

confidence: 99%

“…The efficiency of the MK estimator relies on the variation of key variables within households over time, which may limit its power in controlling the endogeneity issue. Hossain and Samad (2021) analyzed the relationship between mobile phone use and women's empowerment using two propensity score‐based weighted regressions (inverse probability weighting [IPW] and augmented inverse probability weighting [AIPW]). Zheng and Lu (2021) employed the propensity score matching (PSM) estimator to explore the effects of male spouse migration and ICT use on “left‐behind” women's household decision‐making power.…”

Section: Literature Reviewmentioning

confidence: 99%

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Smartphone use, off‐farm employment, and women's decision‐making power: Evidence from rural China

Zheng

Zhou

Rahut

2022

Review Development Economics

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Empowering women is an important goal of the United Nations' Sustainable Development Goals, and studies have proposed various strategies to achieve this goal. However, few have examined the role of smartphone use in empowering women in decisionmaking and its mechanism. Therefore, this study analyzes how smartphone use affects women's decisionmaking power and explores whether this influence is due to women's off-farm employment mechanisms. For this purpose, the study uses the survey data of 1110 households in rural China and the endogenous treatment regression model for analysis. The control function approach addresses the selection bias of off-farm employment. The results show that smartphone use significantly increases women's decision-making power, partially channeled through increasing women's off-farm employment. The mechanism effect is robust to using both binary and intensive measurements of off-farm employment. Therefore, a policy to improve access to internet facilities and smartphone use could improve women's decision-making power through employment in the off-farm sector.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Smartphone use, off‐farm employment, and women's decision‐making power: Evidence from rural China

Zheng

Zhou

Rahut

2022

Review Development Economics

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“…Higher penetration of mobile technology in developing countries especially acts as an excellent tool to accelerate financial inclusion (Khan et al, 2021). In addition, it has been found that the deployment of mobile phones has a multidimensional positive impact on sustainable poverty reduction (Hossain & Samad, 2021). The poverty reduction impacts are therefore visible both in terms of economic and financial dimensions such as the expansion of income and financial inclusions, as well as noneconomic dimensions such as improvement in education, health, and skill enhancement.…”

Section: Conclusion and Policy Implicationmentioning

confidence: 99%

Does ICT diffusion reduce poverty? Evidence from SAARC countries

Verma

Giri

Debata

2023

Poverty & Public Policy

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The present study aims to explore the relationship between ICT diffusion and poverty reduction in SAARC countries using panel data from 2005 to 2020. This study uses econometric techniques robust to cross-sectional dependence (CSD) including Pesaran's CSD tests; secondgeneration unit root test; Pedroni, Kao, Westerlund cointegration tests; CS-ARDL, Driscoll-Kraay (DK) standard error approach; and D&H causality test. The investigation is based on the ICT diffusion index constructed using principal component analysis (PCA). The study's major finding shows that ICT diffusion reduces poverty both in the long and short run, indicating the favorable impact of ICT on the development process in SAARC countries. Further, economic growth, financial development, and remittances all serve to minimize the poverty level. The causality test reveals bidirectional causation between ICT diffusion and poverty reduction. The study highlights the crucial role of ICT diffusion and selected economic variables in reducing poverty. The findings of the present research shall benefit policymakers to formulate appropriate policies and programs to improve the well-being of people and enhance macroeconomic performance, which impacts both the societal and environmental development of a country.

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“…As well as diffusion, entrepreneursʼ participation in digitalisation could influence household membersʼ use of the internet through increased access to information. Hossain and Samad (2020) find that womenʼs ownership of mobile phones in rural Bangladesh enhances their decision‐making about their childrenʼs education and health by increasing access to information about these sectors. This study aims to provide empirical evidence of how internet adoption and intensive use by entrepreneurs can influence their household membersʼ use of the internet.…”

Section: Internet Use By Entrepreneurs and The Welfare Of Householdsmentioning

confidence: 99%

Internet usage among women‐led micro and small enterprises and household membersʼ use of the internet at home: Evidence from Indonesia during the COVID‐19 pandemic

Kusumawardhani¹,

Falentina

Bachtiar³

et al. 2022

Asia & Pacific Policy Stud

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This study examines whether internet usage among micro and small enterprises (MSEs) could influence household membersʼ use of the internet in terms of intensity as well as usage for productive activities. Using longitudinal data from MSEs in Yogyakarta, Indonesia, covering the period before and during the COVID‐19 pandemic, the study finds that more intensive use of the internet by female entrepreneurs is positively associated with at least an 8 percentage‐point higher probability of internet use for school‐related purposes by household members. Findings from qualitative analysis indicate that female entrepreneurs who are intensive users of the internet are more effective in persuading their household members to accept use of the internet especially for purposes related to their domain of responsibilities, such as childrenʼs education. We argue that policymakers should focus on improving digital literacy among female entrepreneurs as an affirmative action policy to ensure they can enjoy the maximum benefits that digitalisation has to offer.

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Mobile phones, household welfare, and women’s empowerment: evidence from rural off-grid regions of Bangladesh

Cited by 29 publications

References 25 publications

Smartphone use, off‐farm employment, and women's decision‐making power: Evidence from rural China

Smartphone use, off‐farm employment, and women's decision‐making power: Evidence from rural China

Does ICT diffusion reduce poverty? Evidence from SAARC countries

Internet usage among women‐led micro and small enterprises and household membersʼ use of the internet at home: Evidence from Indonesia during the COVID‐19 pandemic

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