The DOI matches its Crossref record.
Modern Rice Technology and Income Distribution in Asia
Abstract
Looking at seven Asian countries--with widely diverse production environments and agrarian and policy structures--the authors investigate to what extent the limited adoption of MVs in the irrigated and the favorable rainfed lowland areas has exacerbated inequalities in the distribution of income.
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Citations
Cited by
Crops that feed the world 7: Rice
Seck, P. A., Diagne, A., Mohanty, S., & Wopereis, M. C. S. (2012) · Food Security · doi:10.1007/s12571-012-0168-1 · Cited by 893
Ten striking facts about agricultural input use in Sub-Saharan Africa
Sheahan, M., & Barrett, C. B. (2017) · Food Policy · doi:10.1016/j.foodpol.2016.09.010 · Cited by 594
Reardon, T., Echeverria, R., Berdegué, J., Minten, B., Liverpool-Tasie, S., Tschirley, D., & Zilberman, D. (2019) · Agricultural Systems · doi:10.1016/j.agsy.2018.01.022 · Cited by 438
Irrigation and poverty alleviation: review of the empirical evidence
Hussain, I., & Hanjra, M. A. (2004) · Irrigation and Drainage · doi:10.1002/ird.114 · Cited by 417
The complex dynamics of smallholder technology adoption: the case of SRI in Madagascar
Moser, C. M., & Barrett, C. B. (2006) · Agricultural Economics · doi:10.1111/j.1574-0862.2006.00169.x · Cited by 361
Metadata
- Venue
- Lynne Rienner Publishers eBooks
- Publisher
- Lynne Rienner Publishers
- Published
- 1994-12-31
- OpenAlex
- W2265933053
- Cited by
- 394
- References
- 0
- FWCI
- 30.34
- Type
- book
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Modern Rice Technology and Income Distribution in Asia. https://app.cochat.ai/papers/10.1515/9781685854768
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- Modern Rice Technology and Income Distribution in Asia. (1994). Lynne Rienner Publishers eBooks. https://doi.org/10.1515/9781685854768
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.
