The DOI matches its Crossref record.
Investment, subsidies, and pro‐poor growth in rural India
Open accessAbstract
This article reviews the trends in government subsidies and investments in and for Indian agriculture; develops a conceptual framework and a model to assess the impact of various subsidies and investments on agricultural growth and poverty reduction; and presents reform options with regard to re‐prioritizing government spending. Subsidies in credit, fertilizer, and irrigation have been crucial for small farmers to adopt new technologies particularly during the initial stage of the green revolution in the late 1960s and 1970s. But it is now investments in agricultural research, education, and rural roads that are the three most effective public spending items in promoting agricultural growth and reducing poverty.
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Citations
Cited by
The Malawi agricultural input subsidy programme: 2005/06 to 2008/09
Dorward, A., & Chirwa, E. (2011) · International Journal of Agricultural Sustainability · doi:10.3763/ijas.2010.0567 · Cited by 406
Review: Taking stock of Africa’s second-generation agricultural input subsidy programs
Jayne, T. S., Mason, N. M., Burke, W. J., & Ariga, J. (2018) · Food Policy · doi:10.1016/j.foodpol.2018.01.003 · Cited by 321
Metadata
- Authors
- Fan, S., Gulati, A., & Thorat, S.
- Venue
- Agricultural Economics
- Publisher
- Wiley
- Published
- 2008-08-28
- Volume
- 39
- Issue
- 2
- Pages
- 163-170
- ISSN
- 0169-5150 (ISSN-L)
- 1574-0862
- OpenAlex
- W2103405377
- Cited by
- 367
- References
- 0
- FWCI
- 68.70
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Fan, S., Gulati, A., & Thorat, S. (2008). Investment, subsidies, and pro‐poor growth in rural India. Agricultural Economics. https://doi.org/10.1111/j.1574-0862.2008.00328.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
