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Information Communication Technology and Infant Mortality in Low-Income Countries: Empirical Study Using Panel Data Models

Author

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  • Issam Khelfaoui

    (School of Insurance and Economics, University of International Business and Economics, Beijing 100029, China)

  • Yuantao Xie

    (School of Insurance and Economics, University of International Business and Economics, Beijing 100029, China)

  • Muhammad Hafeez

    (Institute of Business and Management Sciences, University of Agriculture, Faisalabad 38000, Pakistan)

  • Danish Ahmed

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
    School of Foreign Language, Shanghai Jianqiao University, Shanghai 201315, China
    Department of Business Administration, HANDS—Institute of Development Studies (HANDS-IDS), Karachi 75230, Pakistan
    Center for Islamic Finance, University of Bolton, Bolton BL3 5AB, UK)

  • Houssem Eddine Degha

    (Department of Mathematics and Computer Science, Faculty of Science and Technology, Université de Ghardaia, Ghardaia 47000, Algeria)

  • Hicham Meskher

    (Kasdi Merbah University, Ouargla 30000, Algeria)

Abstract

According to the World Health Organization, lower-income countries suffer from adverse health issues more than higher-income countries. Information and communication technologies (ICT) have the potential to resolve these issues. Previous research has analyzed the theoretical and empirical causal effects of ICT on infant mortality at country-specific and global levels for a short period of time. However, the causes and results could be different in low-income countries. The objective of this paper was to examine the deficiencies through the use of panel data from 27 low-income countries from 2000–2017. We applied the predictive mean matching technique to supplement the missing data and then used panel data techniques (i.e., fixed effects (FE) and pooled common correlated effects (PCCE)), and system-GMM to estimate the causal effects. We compared the consistency and the possible heterogeneity of previous results using a set of robust techniques and empirical tests. We found that internet access and, to a lesser extent, cellular mobile subscriptions, two of the three ICT variables used in our research, had a significant positive effect on reducing infant mortality in low-income countries. In conclusion, governments and policymakers of low-income countries should consider the availability of internet-related ICT innovations and make them nationally accessible to reduce health crises such as the infant mortality rate.

Suggested Citation

  • Issam Khelfaoui & Yuantao Xie & Muhammad Hafeez & Danish Ahmed & Houssem Eddine Degha & Hicham Meskher, 2022. "Information Communication Technology and Infant Mortality in Low-Income Countries: Empirical Study Using Panel Data Models," IJERPH, MDPI, vol. 19(12), pages 1-24, June.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7338-:d:839464
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    1. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    3. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    4. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    5. Bichaka Fayissa & Paulos Gutema, 2005. "The Determinants of Health Status in Sub-Saharan Africa (Ssa)," The American Economist, Sage Publications, vol. 49(2), pages 60-66, October.
    6. Pradhan, Rudra P. & Arvin, Mak B. & Norman, Neville R. & Bele, Samadhan K., 2014. "Economic growth and the development of telecommunications infrastructure in the G-20 countries: A panel-VAR approach," Telecommunications Policy, Elsevier, vol. 38(7), pages 634-649.
    7. David Cutler & Angus Deaton & Adriana Lleras-Muney, 2006. "The Determinants of Mortality," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 97-120, Summer.
    8. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    9. Luciano Lopez & Sylvain Weber, 2017. "Testing for Granger causality in panel data," Stata Journal, StataCorp LP, vol. 17(4), pages 972-984, December.
    10. Shahbaz Nasir & Kaliappa Kalirajan, 2016. "Information and Communication Technology-Enabled Modern Services Export Performances of Asian Economies," Asian Development Review, MIT Press, vol. 33(1), pages 1-27, March.
    11. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
    12. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    13. David Cutler & Grant Miller, 2005. "The role of public health improvements in health advances: The twentieth-century United States," Demography, Springer;Population Association of America (PAA), vol. 42(1), pages 1-22, February.
    14. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    15. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    16. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    17. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    18. Lucas, Henry, 2008. "Information and communications technology for future health systems in developing countries," Social Science & Medicine, Elsevier, vol. 66(10), pages 2122-2132, May.
    19. Jung Wan Lee & Tantatape Brahmasrene, 2014. "ICT, CO 2 Emissions and Economic Growth: Evidence from a Panel of ASEAN," Global Economic Review, Taylor & Francis Journals, vol. 43(2), pages 93-109, June.
    20. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    21. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    22. Felix Olu Bankole & Kweku-Muata Osei-Bryson & Irwin Brown, 2013. "The Impact of ICT Investments on Human Development: A Regression Splines Analysis," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 16(2), pages 59-85, April.
    23. García-Muñiz, Ana Salomé & Vicente, María Rosalía, 2014. "ICT technologies in Europe: A study of technological diffusion and economic growth under network theory," Telecommunications Policy, Elsevier, vol. 38(4), pages 360-370.
    24. Xun Lu & Liangjun Su & Halbert White, 2016. "Granger Causality and Structural Causality in Cross-Section and Panel Data," Working Papers 04-2016, Singapore Management University, School of Economics.
    25. Dutta, Ujjal Protim & Gupta, Hemant & Sengupta, Partha Pratim, 2019. "ICT and health outcome nexus in 30 selected Asian countries: Fresh evidence from panel data analysis," Technology in Society, Elsevier, vol. 59(C).
    26. Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.
    27. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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