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Effects of Climate-Smart Agriculture Adoption on Performance of Rice Farmers in Northeast Vietnam

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  • Ha, Tuan M.
  • Bac, Ho Van

Abstract

Agricultural production is increasingly vulnerable to risks and uncertainties associated with climate changes. Climate-smart agriculture (CSA) has been proposed to address challenges in agricultural production such as food security, water shortage, drought, and soil erosion, etc. The benefits of CSA adoption for farmers have been debated. Many previous studies have indicated that impacts seem to be affected by selection bias. However, controlling such selection bias has not been considered in studies on the CSA adoption. Thus, in this study, we analyzed the impacts of CSA adoption on major economic indicators for rice farmers. The Propensity Score Matching (PSM) method was employed to address such selection bias for a case study on rice farmers in Thai Nguyen province, Vietnam. Comparing main economic indicators, we found significant differences in rice yields and used seed inputs between CSA and non-CSA adopters. Ignoring selection bias control resulted in overestimation of economic returns. The results also indicate limited contribution of CSA adoption to a reduction in pesticide and herbicide usage, and an increase in use of organic fertilizers. Some implications for further research are also discussed.

Suggested Citation

  • Ha, Tuan M. & Bac, Ho Van, 2021. "Effects of Climate-Smart Agriculture Adoption on Performance of Rice Farmers in Northeast Vietnam," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 11(04), April.
    • Handle: RePEc:ags:ajosrd:342338
    DOI: 10.22004/ag.econ.342338
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    1. Noltze, Martin & Schwarze, Stefan & Qaim, Matin, 2012. "Understanding the adoption of system technologies in smallholder agriculture: The system of rice intensification (SRI) in Timor Leste," Agricultural Systems, Elsevier, vol. 108(C), pages 64-73.
    2. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    3. 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.
    4. Dung, Luu Tien & Ho, Dinh Phi & Hiep, Nguyen Thi Kim Hiep & Hoi, Phan Thi, 2018. "The Determinants of Rice Farmers’ Adoption of Sustainable Agricultural Technologies in the Mekong Delta, Vietnam," Asian Journal of Applied Economics/ Applied Economics Journal, Kasetsart University, Faculty of Economics, Center for Applied Economic Research, vol. 25(2), pages 55-69, December.
    5. 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), July.
    6. Alberto Abadie & Guido W. Imbens, 2016. "Matching on the Estimated Propensity Score," Econometrica, Econometric Society, vol. 84, pages 781-807, March.
    7. Duong, Pham Bao & Thanh, Pham Tien, 2019. "Adoption and effects of modern rice varieties in Vietnam: Micro-econometric analysis of household surveys," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 282-292.
    8. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    9. Ly, Proyuth & Jensen, Lars Stoumann & Bruun, Thilde Bech & Rutz, Dominik & de Neergaard, Andreas, 2012. "The System of Rice Intensification: Adapted practices, reported outcomes and their relevance in Cambodia," Agricultural Systems, Elsevier, vol. 113(C), pages 16-27.
    10. Haitao Wu & Shijun Ding & Sushil Pandey & Dayun Tao, 2010. "Assessing the Impact of Agricultural Technology Adoption on Farmers' Well‐being Using Propensity‐Score Matching Analysis in Rural China," Asian Economic Journal, East Asian Economic Association, vol. 24(2), pages 141-160, June.
    11. 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.
    12. 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, September.
    13. Noltze, Martin & Schwarze, Stefan & Qaim, Matin, 2013. "Impacts of natural resource management technologies on agricultural yield and household income: The system of rice intensification in Timor Leste," Ecological Economics, Elsevier, vol. 85(C), pages 59-68.
    14. Dobermann, A., 2004. "A critical assessment of the system of rice intensification (SRI)," Agricultural Systems, Elsevier, vol. 79(3), pages 261-281, March.
    15. Shahidur R. Khandker & Gayatri B. Koolwal & Hussain A. Samad, 2010. "Handbook on Impact Evaluation : Quantitative Methods and Practices," World Bank Publications - Books, The World Bank Group, number 2693, April.
    16. Dasgupta, Susmita & Laplante, Benoit & Meisner, Craig & Wheeler, David & Jianping Yan, 2007. "The impact of sea level rise on developing countries : a comparative analysis," Policy Research Working Paper Series 4136, The World Bank.
    17. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
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