Department of Economic Sciences, Indian Institute of Science Education and Research Bhopal, India.
Department of Economic Sciences, Indian Institute of Science Education and Research Bhopal, India.
Econ Hum Biol. 2024 Aug;54:101411. doi: 10.1016/j.ehb.2024.101411. Epub 2024 Jul 10.
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.
愿望县计划(ADP)是印度政府于 2018 年发起的一项独特倡议,旨在减少地区间多维不平等。ADP 的目标是使最不发达地区迎头赶上该国其他地区。该计划范围广泛,因为它的目标是改善涵盖健康和营养、教育、农业和水资源、金融包容性和技能发展以及基础设施基本指标等多个关键发展指标。有愿望的县(ADs)有资格获得中央和州政府开展的各种举措的额外资金和优先分配。我们使用倾向得分匹配和差分中的差异(PSM-DID)的组合,估计 ADP 对目标健康和营养指标的因果影响。我们使用分别于 2015-16 年和 2019-21 年收集的第四和第五轮国家家庭健康调查(NFHS)数据,这些数据分别是我们分析的预处理和后处理数据。此外,我们利用 ADP 下确定 ADs 的透明机制,为我们的 PSM-DID 进行倾向得分匹配。虽然我们观察到 ADP 对母乳喂养早期开始的负面影响,但我们认为这种影响与新冠疫情的影响混淆了,因为 NFHS-5 部分数据是在疫情期间收集的。然而,当我们仅使用新冠疫情前的数据(即疫情前接受调查的州的地区数据)时,ADP 对母乳喂养早期开始的负面影响就消失了。此外,使用新冠疫情前的数据,我们发现 ADs 中 5 岁以下儿童体重不足的比例降低了 2 到 4 个百分点,这是 ADP 的影响,在多个规范中都是稳健的。我们没有发现 ADP 对任何其他健康和营养指标有积极或消极的影响。未来的研究工作应该致力于评估所有目标指标的影响,以便对 ADP 进行全面、无偏的评估。