an article by Chong Siew Huay (Taylor’s University, Subang Jaya, Malaysia), Jonathan Winterton (University of Huddersfield, UK) and Yasmin Bani and Bolaji Tunde Matemilola (University Putra Malaysia, Serdang, Malaysia) published in International Journal of Social Economics Volume 45 Issue 10 (2019)
Abstract
Purpose
The purpose of this paper is to analyse the impact of remittances on human development in developing countries using panel data from 1980 to 2014 and to address the critical question of whether the increasing trend of remittances has any impact on human development in a broad range of developing countries.
Design/methodology/approach
Usual panel estimates, such as pooled OLS, fixed or random effects model, possess specification issues such as endogeneity, heterogeneity and measurement errors. In this paper, we, therefore, apply dynamic panel estimates – System generalised method of moment (Sys-GMM) developed by Arellano and Bond (1991) and Arellano and Bover (1995). This estimator is able to control for the endogeneity of all the explanatory variables, account for unobserved country-specific effects that cannot be done using country dummies due to the dynamic structure of the model (Azman-Saini et al., 2010).
Findings
The effect of remittances is statistically significant with positive coefficients in developing countries. The significant coefficient of remittances means that, holding other variables constant, a rise in remittance inflows is associated with improvements in human development. A 10 per cent increase in remittances will lead to an increase of approximately 0.016 per cent in human development. These findings are consistent with Üstubuci and Irdam (2012) and Adenutsi (2010), who found evidence that remittances are positively correlated with human development.
Practical implications
The paper considers implications for policymakers to justify the need for more effective approaches. Policymakers need to consider indicators of human development and to devise public policies that promote income, health and education, to enhance human development.
Originality/value
The question of whether remittances affect human development has rarely been subject to systematic empirical study. Extant research does not resolve the endogeneity problem, whereas the present study provides empirical evidence by utilising dynamic panel estimators such as Sys-GMM to tackle the specification issues of endogeneity, measurement errors and heterogeneity. The present study provides a benchmark for future research on the effect of remittances on human development.
Showing posts with label remittances. Show all posts
Showing posts with label remittances. Show all posts
Wednesday, 30 October 2019
Tuesday, 21 February 2017
Migrants from marginal dry areas in Syria: destinations, employment, and returns
an article by Malika Abdelali-Martini (Food and Agriculture Organization of the United Nations, Cairo, Egypt), Kindah Ibrahim (National Agricultural Policy Center, Damascus, Syrian Arab Republic) and Boubaker Dhehibi (International Center for Agricultural Research in the Dry Areas (ICARDA), Amman, Jordan) published in IZA Journal of Migration Volume 5 Article 23 (2016)
Abstract
We examine the determinants of migrants’ choices of destination, employment, and remittances from one of the poorest marginal dry areas in Syria. Qualitative and econometric analysis of cross-sectional data indicates that migrants’ choices depend mainly on individual, household, and community characteristics and also on availability of opportunities.
The main factors affecting the choice of destination and employment are the sending area, age, and sex of migrants, while the educational level had no significant effect in both cases.
The larger the endowments of migrants’ households, the higher the remittances sent back home to preserve households’ assets in marginal dry areas.
Full text (PDF)
Abstract
We examine the determinants of migrants’ choices of destination, employment, and remittances from one of the poorest marginal dry areas in Syria. Qualitative and econometric analysis of cross-sectional data indicates that migrants’ choices depend mainly on individual, household, and community characteristics and also on availability of opportunities.
Full text (PDF)
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