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Cited by 446

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach

Becerril, Javier, Abdulai, Awudu·2010·World Development

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Show all 4 references

Research works printed but not linked: 21

  1. Abdulai, 2005, The diffusion of new agricultural technologies: The case of crossbred cow technology in Tanzania, American Journal of Agricultural Economics, 87, : 645, 10.1111/j.1467-8276.2005.00753.x · DOI · Paper page
  2. Bellon, 1993, “Folk” soil taxonomy and the partial adoption of new seed varieties, Economic Development and Cultural Change, 41, : 763, 10.1086/452047 · DOI · Paper page
  3. Bellon, 2001, Small-scale farmers expand the benefits of improved maize germplasm: A case study from Chiapas, Mexico, World Development, 29, 799, 10.1016/S0305-750X(01)00013-4 · DOI
  4. Bellon, 2006, Poor farmers’ perceived benefits from different types of maize germplasm: The case of creolization in lowland tropical Mexico, World Development, 34, 113, 10.1016/j.worlddev.2005.05.012 · DOI
  5. Binswanger, 1991, Technological change and commercialization in agriculture: The effect on the poor, World Bank Research Observer, 6, 57, 10.1093/wbro/6.1.57 · doi:10.1093/wbro/6.1.57
  6. Blundell, 2000, Evaluation methods for non-experimental data, Fiscal Studies, 21, 427, 10.1111/j.1475-5890.2000.tb00031.x · DOI · Paper page
  7. de Janvry, 2001, World poverty and the role of agricultural technology: Direct and indirect effects, Journal of Development Studies, 38, 1, 10.1080/00220380412331322401 · DOI · Paper page
  8. Dehejia, 2002, Propensity score-matching methods for nonexperimental causal studies, The Review of Economics and Statistics, 84, 151, 10.1162/003465302317331982 · DOI · Paper page
  9. Heckman, 1997, Matching as an econometric evaluation estimator, Review of Economic Studies, 65, 261, 10.1111/1467-937X.00044 · DOI · Paper page
  10. Jalan, 2003, Does piped water reduce diarrhea for children in rural India?, Journal of Econometrics, 112, 153, 10.1016/S0304-4076(02)00158-6 · DOI · Paper page
  11. Just, 1988, The effects of agricultural development policies on income distribution and technological change in agriculture, Journal of Development Economics, 28, : 193, 10.1016/0304-3878(88)90058-2 · DOI
  12. Karanja, 2003, Welfare effects of maize technologies in marginal and high potential regions of Kenya, Agricultural Economics, 29, 331, 10.1111/j.1574-0862.2003.tb00169.x · doi:10.1111/j.1574-0862.2003.tb00169.x
  13. Keleman, 2009, Maize diversity, rural development policy, and farmers’ practices: Lessons from Chiapas, Mexico, The Geographical Journal, 175, : 52, 10.1111/j.1475-4959.2008.00314.x · doi:10.1111/j.1475-4959.2008.00314.x
  14. Lee, W. (2008). Propensity score matching and variations on the balancing test. In Third conference on policy evaluation, ZEW, Mannheim, Germany, 27–28 October.
  15. Mendola, 2007, Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh, Food Policy, 32, 372, 10.1016/j.foodpol.2006.07.003 · DOI · Paper page
  16. Mojo, 2007, Peanut research and poverty reduction: Impacts of variety improvement to control peanut viruses in Uganda, American Journal of Agricultural Economics, 89, : 448, 10.1111/j.1467-8276.2007.00991.x · doi:10.1111/j.1467-8276.2007.00991.x
  17. Rosenbaum, 1983, The central role of the propensity score in observational studies for causal effects, Biometrica, 70, 41, 10.1093/biomet/70.1.41 · DOI · Paper page
  18. Sianesi, 2004, An evaluation of the Swedish system of active labor market programs in the 1990s, The Review of Economics and Statistics, 86, 133, 10.1162/003465304323023723 · DOI · Paper page
  19. Smale, 2003, The economic costs and benefits of a participatory project to conserve maize landraces on farms in Oaxaca, Mexico, Agricultural Economics, 29, 265, 10.1111/j.1574-0862.2003.tb00163.x · doi:10.1111/j.1574-0862.2003.tb00163.x
  20. Smale, 1994, Land allocation in HYV adoption models: An investigation of alternative explanations, American Journal of Agricultural Economics, 76, : 535, 10.2307/1243664 · DOI · Paper page
  21. Wooldridge, 2005, Violating ignorability of treatment by controlling for too many factors, Econometric Theory, 21, 1026, 10.1017/S0266466605050516 · DOI

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Metadata

Authors
Becerril, J., & Abdulai, A.
Venue
World Development
Publisher
Elsevier BV
Published
2010-07
Volume
38
Issue
7
Pages
1024-1035
ISSN
0305-750X (ISSN-L)
OpenAlex
W2086239201
Cited by
446
References
4
FWCI
43.03
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach. https://app.cochat.ai/papers/10.1016/j.worlddev.2009.11.017
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Becerril, J., & Abdulai, A. (2010). The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach. World Development. https://doi.org/10.1016/j.worlddev.2009.11.017

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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