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Health impact evaluation of Aspirational Districts Program in India: Evidence from National Family Health Survey

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  • Agarwal, Sandip K.
  • Mishra, Shubham

Abstract

The Aspirational District Program (ADP) is a unique initiative of Government of India launched in 2018 that aims to reduce inter-district multidimensional inequality. ADP aims to bring the least developed districts to catch up with the rest of the other districts in the country. The program is comprehensive in its scope as it targets improvement of several key development indicators spanning health and nutrition, education, agriculture and water resources, financial inclusion and skill development and basic infrastructure indicators. Aspirational districts (ADs) are eligible for enhanced funding and priority allocation of various initiatives undertaken by the central and the state governments. Our research estimates the causal impact of ADP on the targeted health and nutrition indicators using a combination of propensity score matching and difference-in-differences (PSM-DID). We use the fourth and fifth rounds of National Family Health Survey (NFHS) data collected in 2015–16 and 2019–21 respectively which serve as the pre and post-treatment data for our analysis. Moreover, we take advantage of the transparent mechanism outlined for the identification of ADs under ADP, which we use for propensity score matching for our PSM-DID. While we observe negative impact of ADP on early initiation of breastfeeding, we believe that the impact is confounded with the effects of Covid-19 since part of NFHS-5 data was collected during the pandemic. However, the negative impact of ADP on early initiation of breastfeeding disappears when we only use pre-covid data (i.e. data for districts from states surveyed before the pandemic). Additionally, using pre-covid data we find a reduction in the prevalence of underweight children younger than 5 years to an extent of 2 to 4 percentage points in ADs as an impact of ADP, which is robust across multiple specification. We do not find evidence of a positive or a negative impact of ADP on any other health and nutrition indicators. Future research efforts should be made towards impact evaluation of all the targeted indicators in order to get a comprehensive unbiased evaluation of ADP.

Suggested Citation

  • Agarwal, Sandip K. & Mishra, Shubham, 2024. "Health impact evaluation of Aspirational Districts Program in India: Evidence from National Family Health Survey," Economics & Human Biology, Elsevier, vol. 54(C).
  • Handle: RePEc:eee:ehbiol:v:54:y:2024:i:c:s1570677x24000637
    DOI: 10.1016/j.ehb.2024.101411
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    as
    1. Powell-Jackson, Timothy & Mazumdar, Sumit & Mills, Anne, 2015. "Financial incentives in health: New evidence from India's Janani Suraksha Yojana," Journal of Health Economics, Elsevier, vol. 43(C), pages 154-169.
    2. Suresh Sharma & Vandana Sharma, 2020. "Efficiency Assessment of Maternal health services in the Aspirational Districts of EAG states in India: A Data Envelopment Analysis Approach," IEG Working Papers 412, Institute of Economic Growth.
    3. Lingguo Cheng & Hong Liu & Ye Zhang & Ke Shen & Yi Zeng, 2015. "The Impact of Health Insurance on Health Outcomes and Spending of the Elderly: Evidence from China's New Cooperative Medical Scheme," Health Economics, John Wiley & Sons, Ltd., vol. 24(6), pages 672-691, June.
    4. Singh, Shri Kant & Vishwakarma, Deepanjali, 2021. "Spatial heterogeneity in the coverage of full immunization among children in India: Exploring the contribution of immunization card," Children and Youth Services Review, Elsevier, vol. 121(C).
    5. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    6. Hong Wang & Winnie Yip & Licheng Zhang & William C. Hsiao, 2009. "The impact of rural mutual health care on health status: evaluation of a social experiment in rural China," Health Economics, John Wiley & Sons, Ltd., vol. 18(S2), pages 65-82, July.
    7. Chen, Yuyu & Jin, Ginger Zhe, 2012. "Does health insurance coverage lead to better health and educational outcomes? Evidence from rural China," Journal of Health Economics, Elsevier, vol. 31(1), pages 1-14.
    8. Kim, Rockli & Rajpal, Sunil & Joe, William & Corsi, Daniel J. & Sankar, Rajan & Kumar, Alok & Subramanian, S.V., 2019. "Assessing associational strength of 23 correlates of child anthropometric failure: An econometric analysis of the 2015-2016 National Family Health Survey, India," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
    9. Alison Andrew & Marcos Vera-Hernández, 2024. "Incentivizing Demand for Supply-Constrained Care: Institutional Birth in India," The Review of Economics and Statistics, MIT Press, vol. 106(1), pages 102-118, January.
    10. Corsi, Daniel J. & Mejía-Guevara, Iván & Subramanian, S.V., 2016. "Risk factors for chronic undernutrition among children in India: Estimating relative importance, population attributable risk and fractions," Social Science & Medicine, Elsevier, vol. 157(C), pages 165-185.
    11. Essama-Nssah, B., 2006. "Propensity score matching and policy impact analysis - a demonstration in EViews," Policy Research Working Paper Series 3877, The World Bank.
    12. Natalie Carvalho & Slawa Rokicki, 2019. "The Impact of India’s Janani Suraksha Yojana Conditional Cash Transfer Programme: A Replication Study," Journal of Development Studies, Taylor & Francis Journals, vol. 55(5), pages 989-1006, May.
    13. Baozhong Su & Gatwaza Hategekimana Thierry & Qihui Chen & Qiran Zhao, 2017. "The New Cooperative Medical Scheme and Self-Employment in Rural China," Sustainability, MDPI, vol. 9(2), pages 1-10, February.
    14. Georgina Pujolar & Aida Oliver-Anglès & Ingrid Vargas & María-Luisa Vázquez, 2022. "Changes in Access to Health Services during the COVID-19 Pandemic: A Scoping Review," IJERPH, MDPI, vol. 19(3), pages 1-31, February.
    15. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    16. Qin Zhou & Qing He & Karen Eggleston & Gordon G Liu, 2022. "Urban-rural health insurance integration in china: impact on health care utilization, financial risk protection, and health status," Applied Economics, Taylor & Francis Journals, vol. 54(22), pages 2491-2509, May.
    17. Tanika Chakraborty & Anirban Mukherjee, 2023. "Economic geography of contagion: a study of COVID-19 outbreak in India," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 779-811, April.
    18. Alexis Diamond & Jasjeet S. Sekhon, 2013. "Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 932-945, July.
    19. Jayanta Kumar Bora & Nandita Saikia, 2018. "Neonatal and under-five mortality rate in Indian districts with reference to Sustainable Development Goal 3: An analysis of the National Family Health Survey of India (NFHS), 2015–2016," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-15, July.
    20. Arndt, Channing & Hussain, M. Azhar & Salvucci, Vincenzo & Østerdal, Lars Peter, 2016. "Effects of food price shocks on child malnutrition: The Mozambican experience 2008/2009," Economics & Human Biology, Elsevier, vol. 22(C), pages 1-13.
    21. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    22. Rahman, Mohammad Mahbubur & Pallikadavath, Saseendran, 2018. "How much do conditional cash transfers increase the utilization of maternal and child health care services? New evidence from Janani Suraksha Yojana in India," Economics & Human Biology, Elsevier, vol. 31(C), pages 164-183.
    23. Parantap Basu & Ritwik Mazumder, 2021. "Regional disparity of covid-19 infections: an investigation using state-level Indian data," Indian Economic Review, Springer, vol. 56(1), pages 215-232, June.
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