Realizing the potential of digital development: The case of agricultural advice.


Journal

Science (New York, N.Y.)
ISSN: 1095-9203
Titre abrégé: Science
Pays: United States
ID NLM: 0404511

Informations de publication

Date de publication:
13 12 2019
Historique:
entrez: 14 12 2019
pubmed: 14 12 2019
medline: 31 3 2020
Statut: ppublish

Résumé

The rapid spread of mobile phones creates potential for sustainably raising agricultural productivity for the 2 billion people living in smallholder farming households. Meta-analyses suggest that providing agricultural information via digital technologies increased yields by 4% and the odds of adopting recommended inputs by 22%. Benefits likely exceed the cost of information transmission by an order of magnitude. The spread of GPS-enabled smartphones could increase these benefits by enabling customized information, thus incentivizing farmers to contribute information to the system. Well-known distortions in markets for information limit the ability of such systems to reach the socially efficient scale through purely commercial means. There is a clear role for public support for digital agricultural extension, but messages designed by agricultural ministries are often difficult for farmers to understand and use. Realizing the potential of mobile communication systems requires feedback mechanisms to enable rigorous testing and continuous improvement.

Identifiants

pubmed: 31831641
pii: 366/6471/eaay3038
doi: 10.1126/science.aay3038
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Auteurs

Raissa Fabregas (R)

Lyndon B. Johnson School of Public Affairs, University of Texas at Austin, Austin, TX 78712, USA.

Michael Kremer (M)

Department of Economics, Harvard University, Cambridge, MA 02138, USA.

Frank Schilbach (F)

Department of Economics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. fschilb@mit.edu.

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Classifications MeSH