IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Understanding the adoption of system technologies in smallholder agriculture: The system of rice intensification (SRI) in Timor Leste

Listed author(s):
  • Noltze, Martin
  • Schwarze, Stefan
  • Qaim, Matin
Registered author(s):

    Against the background of rising food demand, decreasing productivity growth, and environmental degradation, natural resource management technologies, such as the system of rice intensification (SRI), have been propagated, especially in a smallholder farm context. However, system technologies are often location specific and characterized by partial adoption and disadoption. Previous studies were often not able to fully explain this, because they mostly relied on farm and household level data, neglecting plot level differences that may be important. We address this limitation, using SRI adoption in Timor Leste as an example. Regression models are specified and estimated to explain the farmers’ decision-making processes. Participation in training programs and household labor availability increase the probability and intensity of adoption, as SRI is knowledge and labor intensive. However, many other household variables are not significant, while plot level characteristics, such as proximity to the homestead, water control capacity, slope, and soil conditions, have more explanatory power. The results suggest that plot level data are important to understand the adoption of system technologies. Moreover, technology adaptation to different plot conditions seems to be a precondition for widespread diffusion.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X1200011X
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal Agricultural Systems.

    Volume (Year): 108 (2012)
    Issue (Month): C ()
    Pages: 64-73

    as
    in new window

    Handle: RePEc:eee:agisys:v:108:y:2012:i:c:p:64-73
    DOI: 10.1016/j.agsy.2012.01.003
    Contact details of provider: Web page: http://www.elsevier.com/locate/agsy

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as
    in new window


    1. David R. Lee, 2005. "Agricultural Sustainability and Technology Adoption: Issues and Policies for Developing Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1325-1334.
    2. Christopher B. Barrett & Christine M. Moser & Oloro V. McHugh & Joeli Barison, 2004. "Better Technology, Better Plots, or Better Farmers? Identifying Changes in Productivity and Risk among Malagasy Rice Farmers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 869-888.
    3. Lohr, Luanne & Park, Timothy A., 2002. "Choice of insect management portfolios by organic farmers: lessons and comparative analysis," Ecological Economics, Elsevier, vol. 43(1), pages 87-99, November.
    4. Sall, S. & Norman, D. & Featherstone, A. M., 2000. "Quantitative assessment of improved rice variety adoption: the farmer's perspective," Agricultural Systems, Elsevier, vol. 66(2), pages 129-144, November.
    5. Langyintuo, Augustine S. & Mungoma, Catherine, 2008. "The effect of household wealth on the adoption of improved maize varieties in Zambia," Food Policy, Elsevier, vol. 33(6), pages 550-559, December.
    6. de Paulo Correia, Vicente & Janes, John A. & Rola-Rubzen, Maria Fay & Freitas, Jorge & Gomes, Mateus, 2009. "Prospects For Vanilla Agribusiness Development In Ermera And Manufahi, Timor Leste," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48029, Australian Agricultural and Resource Economics Society.
    7. Timothy Conley & Udry Christopher, 2001. "Social Learning Through Networks: The Adoption of New Agricultural Technologies in Ghana," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 668-673.
    8. Senthilkumar, K. & Bindraban, P.S. & Thiyagarajan, T.M. & de Ridder, N. & Giller, K.E., 2008. "Modified rice cultivation in Tamil Nadu, India: Yield gains and farmers' (lack of) acceptance," Agricultural Systems, Elsevier, vol. 98(2), pages 82-94, September.
    9. Just, Richard E & Zilberman, David, 1983. "Stochastic Structure, Farm Size and Technology Adoption in Developing Agriculture," Oxford Economic Papers, Oxford University Press, vol. 35(2), pages 307-328, July.
    10. Holmes, Thomas P. & Englin, Jeffrey E., 2010. "Preference Heterogeneity in a Count Data Model of Demand for Off-Highway Vehicle Recreation," Agricultural and Resource Economics Review, Cambridge University Press, vol. 39(01), pages 75-88, February.
    11. Abhijit Sharma & Alastair Bailey & Iain Fraser, 2011. "Technology Adoption and Pest Control Strategies Among UK Cereal Farmers: Evidence from Parametric and Nonparametric Count Data Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(1), pages 73-92, 02.
    12. Paswel P. Marenya & Christopher B. Barrett, 2009. "State-conditional Fertilizer Yield Response on Western Kenyan Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 991-1006.
    13. Barah, B.C., 2009. "Economic and Ecological Benefits of System of Rice Intensification (SRI) in Tamil Nadu," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 22(2).
    14. Howard D. Leathers & Melinda Smale, 1991. "A Bayesian Approach to Explaining Sequential Adoption of Components of a Technological Package," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 734-742.
    15. Jones, Andrew M, 1989. "A Double-Hurdle Model of Cigarette Consumption," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(1), pages 23-39, Jan.-Mar..
    16. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    17. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    18. Christine M. Moser & Christopher B. Barrett, 2006. "The complex dynamics of smallholder technology adoption: the case of SRI in Madagascar," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 373-388, November.
    19. Knowler, Duncan & Bradshaw, Ben, 2007. "Farmers' adoption of conservation agriculture: A review and synthesis of recent research," Food Policy, Elsevier, vol. 32(1), pages 25-48, February.
    20. Stoop, Willem A. & Uphoff, Norman & Kassam, Amir, 2002. "A review of agricultural research issues raised by the system of rice intensification (SRI) from Madagascar: opportunities for improving farming systems for resource-poor farmers," Agricultural Systems, Elsevier, vol. 71(3), pages 249-274, March.
    21. Tsujimoto, Yasuhiro & Horie, Takeshi & Randriamihary, Hamon & Shiraiwa, Tatsuhiko & Homma, Koki, 2009. "Soil management: The key factors for higher productivity in the fields utilizing the system of rice intensification (SRI) in the central highland of Madagascar," Agricultural Systems, Elsevier, vol. 100(1-3), pages 61-71, April.
    22. Ira Matuschke & Matin Qaim, 2009. "The impact of social networks on hybrid seed adoption in India," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 493-505, 09.
    23. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    24. de Paulo Correia, Vicente & Janes, John A. & Rola-Rubzen, Maria Fay & Freitas, Jorge & Gomes, Mateus, 2009. "Prospects For Vanilla Agribusiness Development In Ermera And Manufahi, Timor Leste," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 47633, Australian Agricultural and Resource Economics Society.
    25. Derek Byerlee & Edith Hesse de Polanco, 1986. "Farmers' Stepwise Adoption of Technological Packages: Evidence from the Mexican Altiplano," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(3), pages 519-527.
    26. Holmes, Thomas P. & Englin, Jeffrey E., 2010. "Preference Heterogeneity in a Count Data Model of Demand for Off-Highway Vehicle Recreation," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 39(1), February.
    27. Moser, Christine M. & Barrett, Christopher B., 2003. "The disappointing adoption dynamics of a yield-increasing, low external-input technology: the case of SRI in Madagascar," Agricultural Systems, Elsevier, vol. 76(3), pages 1085-1100, June.
    28. William J. Burke, 2009. "Fitting and interpreting Cragg's tobit alternative using Stata," Stata Journal, StataCorp LP, vol. 9(4), pages 584-592, December.
    29. Smale, Melinda & Heisey, Paul W & Leathers, Howard D, 1995. "Maize of the Ancestors and Modern Varieties: The Microeconomics of High-Yielding Variety Adoption in Malawi," Economic Development and Cultural Change, University of Chicago Press, vol. 43(2), pages 351-368, January.
    30. Dobermann, A., 2004. "A critical assessment of the system of rice intensification (SRI)," Agricultural Systems, Elsevier, vol. 79(3), pages 261-281, March.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:108:y:2012:i:c:p:64-73. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.