Farm Diversity and Heterogeneous Impacts of System Technologies on Yield, Income and Poverty: The System of Rice Intensification in Timor Leste
AbstractNatural resource management practices, such as the System of Rice Intensification (SRI), have been proposed to tackle agricultural challenges such as decreasing productivity growth and environmental degradation. Yet, the benefits of system technologies for farmers are often debated. Impacts seem to be context-specific, which is especially relevant in the small farm sector with its large degree of agroecological and socioeconomic heterogeneity. This was not always considered in previous research. We analyze the impacts of SRI adoption on rice yield and household income among smallholder farmers in Timor Leste. Heterogeneity is accounted for in an endogenous switching regression framework. Comparing mean yield and income levels, we find no significant differences between SRI adopters and non-adopters. This is due to negative selection bias; SRI seems to be adopted more on plots and by farmers with less than average yields. Controlling for this bias reveals significant yield and income gains. Poor and non-poor households benefit from SRI adoption; small farms benefit more than larger farms. The results also suggest that SRI may not be beneficial when compared to conventional rice grown under favorable conditions and with best management practices.
Download InfoIf 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.
Bibliographic InfoPaper provided by International Association of Agricultural Economists in its series 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil with number 125595.
Date of creation: 2012
Date of revision:
Impact assessment; endogenous switching regression; system of rice intensification; Timor Leste; Food Security and Poverty; International Development; C31; D22; Q16; Q55;
Find related papers by JEL classification:
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
- Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
- Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
This paper has been announced in the following NEP Reports:
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.:
- Abdulai, Awudu & Owusu, Victor & Bakang, John-Eudes A., 2011. "Adoption of safer irrigation technologies and cropping patterns: Evidence from Southern Ghana," Ecological Economics, Elsevier, vol. 70(7), pages 1415-1423, May.
- Salvatore Di Falco & Marcella Veronesi & Mahmud Yesuf, 2011. "Does Adaptation to Climate Change Provide Food Security? A Micro-Perspective from Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 825-842.
- Nassul S. Kabunga & Thomas Dubois & Matin Qaim, 2012. "Yield Effects of Tissue Culture Bananas in Kenya: Accounting for Selection Bias and the Role of Complementary Inputs," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(2), pages 444-464, 06.
- 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).
- Moser, Christine M. & Barrett, Christopher B., 2003.
"The Complex Dynamics Of Smallholder Technology Adoption: The Case Of Sri In Madagascar,"
14735, Cornell University, Department of Applied Economics and Management.
- 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.
- Rammel, Christian & Stagl, Sigrid & Wilfing, Harald, 2007. "Managing complex adaptive systems -- A co-evolutionary perspective on natural resource management," Ecological Economics, Elsevier, vol. 63(1), pages 9-21, June.
- Freeman, H. A. & Ehui, Simeon K. & A. Jabbar, Mohammad, 1998. "Credit constraints and smallholder dairy production in the East African highlands: application of a switching regression model," Agricultural Economics, Blackwell, vol. 19(1-2), pages 33-44, September.
- Läpple, Doris & Rensburg, Tom Van, 2011. "Adoption of organic farming: Are there differences between early and late adoption?," Ecological Economics, Elsevier, vol. 70(7), pages 1406-1414, May.
- Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 282-289, September.
- Rigby, D. & Caceres, D., 2001. "Organic farming and the sustainability of agricultural systems," Agricultural Systems, Elsevier, vol. 68(1), pages 21-40, April.
- 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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If references are entirely missing, you can add them using this form.