{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1362825894869836032.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1257/aer.20141346"}},{"identifier":{"@type":"URI","@value":"https://pubs.aeaweb.org/doi/pdf/10.1257/aer.20141346"}}],"dc:title":[{"@value":"Building State Capacity: Evidence from Biometric Smartcards in India"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p>Antipoverty programs in developing countries are often difficult to implement; in particular, many governments lack the capacity to deliver payments securely to targeted beneficiaries. We evaluate the impact of biometrically authenticated payments infrastructure (“Smartcards”) on beneficiaries of employment (NREGS) and pen sion (SSP) programs in the Indian state of Andhra Pradesh, using a large-scale experiment that randomized the rollout of Smartcards over 157 subdistricts and 19 million people. We find that, while incompletely implemented, the new system delivered a faster, more predictable, and less corrupt NREGS payments process without adversely affecting program access. For each of these outcomes, treatment group distributions first-order stochastically dominated those of the control group. The investment was cost-effective, as time savings to NREGS beneficiaries alone were equal to the cost of the intervention, and there was also a significant reduction in the “leakage” of funds between the government and beneficiaries in both NREGS and SSP programs. Beneficiaries overwhelmingly preferred the new system for both programs. Overall, our results suggest that investing in secure payments infrastructure can significantly enhance “state capacity” to implement welfare programs in developing countries. (JEL H53, H55, I32, I38, J65)</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1382825894869836033","@type":"Researcher","foaf:name":[{"@value":"Karthik Muralidharan"}],"jpcoar:affiliationName":[{"@value":"Department of Economics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093 (email: )"}]},{"@id":"https://cir.nii.ac.jp/crid/1382825894869836034","@type":"Researcher","foaf:name":[{"@value":"Paul Niehaus"}],"jpcoar:affiliationName":[{"@value":"Department of Economics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093 (email: )"}]},{"@id":"https://cir.nii.ac.jp/crid/1382825894869836032","@type":"Researcher","foaf:name":[{"@value":"Sandip Sukhtankar"}],"jpcoar:affiliationName":[{"@value":"Department of Economics, University of Virginia, Monroe Hall, 248 McCormick Road, Charlottesville, VA 22903 (email: )"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"00028282"}],"prism:publicationName":[{"@value":"American Economic Review"}],"dc:publisher":[{"@value":"American Economic Association"}],"prism:publicationDate":"2016-10-01","prism:volume":"106","prism:number":"10","prism:startingPage":"2895","prism:endingPage":"2929"},"reviewed":"false","url":[{"@id":"https://pubs.aeaweb.org/doi/pdf/10.1257/aer.20141346"}],"createdAt":"2016-09-30","modifiedAt":"2024-06-19","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360013168795737088","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"The effect of mobile money on borrowing and saving: Evidence from Tanzania"}]},{"@id":"https://cir.nii.ac.jp/crid/1360016864715920768","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Is better access to mobile networks associated with increased mobile money adoption? Evidence from the micro-data of six developing countries"}]},{"@id":"https://cir.nii.ac.jp/crid/1360848664451888512","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Disaster Aid Targeting and Self-Reporting Bias: Natural Experimental Evidence from the Philippines"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1257/aer.20141346"},{"@type":"CROSSREF","@value":"10.1016/j.wdp.2021.100342_references_DOI_8GeGZ0y9QGzYmVKK9HRiN5nA3UZ"},{"@type":"CROSSREF","@value":"10.1016/j.telpol.2022.102314_references_DOI_8GeGZ0y9QGzYmVKK9HRiN5nA3UZ"},{"@type":"CROSSREF","@value":"10.3390/su11030771_references_DOI_8GeGZ0y9QGzYmVKK9HRiN5nA3UZ"}]}