IDEAS home Printed from https://ideas.repec.org/a/ags/ajosrd/342338.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/342338/files/Effects%20of%20Climate-Smart%20Agriculture%20Adoption%20on%20Performance%20of%20Rice%20Farmers%20in%20Northeast%20Vietnam.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.342338?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    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. 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.
    8. Dobermann, A., 2004. "A critical assessment of the system of rice intensification (SRI)," Agricultural Systems, Elsevier, vol. 79(3), pages 261-281, March.
    9. 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.
    10. 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.
    11. Shahidur R. Khandker & Gayatri B. Koolwal & Hussain A. Samad, . "Handbook on Impact Evaluation : Quantitative Methods and Practices," World Bank Publications, The World Bank, number 2693, September.
    12. 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.
    13. 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.
    14. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bac Ho & Teruaki Nanseki & Yosuke Chomei, 2019. "Profit efficiency of tea farmers: case study of safe and conventional farms in Northern Vietnam," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(4), pages 1695-1713, August.
    2. Huaiyu Wang & Sushil Pandey & Lu Feng, 2020. "Econometric Analyses of Adoption and Household-Level Impacts of Improved Rice Varieties in the Uplands of Yunnan, China," Sustainability, MDPI, vol. 12(17), pages 1-13, August.
    3. Mishra, Ashok K. & Kumar, Anjani & Joshi, Pramod K. & D'souza, Alwin, 2016. "Impact of contracts in high yielding varieties seed production on profits and yield: The case of Nepal," Food Policy, Elsevier, vol. 62(C), pages 110-121.
    4. Abdoulaye Diagne Author-Name: Fran ois J. Cabral, 2017. "Agricultural Transformation in Senegal: Impacts of an integrated program," Working Papers PMMA 2017-09, PEP-PMMA.
    5. Marchesano, Katia & Musella, Marco, 2020. "Does volunteer work affect life satisfaction of participants with chronic functional limitations? An empirical investigation," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    6. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    7. Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.
    8. Erlend E. Bø & Elin Halvorsen & Thor O. Thoresen, 2019. "Heterogeneity of the Carnegie Effect," Journal of Human Resources, University of Wisconsin Press, vol. 54(3), pages 726-759.
    9. Ulf Rinne & Arne Uhlendorff & Zhong Zhao, 2013. "Vouchers and caseworkers in training programs for the unemployed," Empirical Economics, Springer, vol. 45(3), pages 1089-1127, December.
    10. Andreas Peichl & Nico Pestel & Sebastian Siegloch, 2013. "The politicians’ wage gap: insights from German members of parliament," Public Choice, Springer, vol. 156(3), pages 653-676, September.
    11. Modou Mar & Nadine Massard, 2021. "Animate the cluster or subsidize collaborative R&D? A multiple overlapping treatments approach to assess the impacts of the French cluster policy [The impact of R&D subsidies on R&D employment comp," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(4), pages 845-867.
    12. Verena Lauber & Johanna Storck, 2016. "Helping with the Kids? How Family-Friendly Workplaces Affect Parental Well-Being and Behavior," Discussion Papers of DIW Berlin 1630, DIW Berlin, German Institute for Economic Research.
    13. Chiara Bocci & Marco Mariani, 2015. "L?approccio delle funzioni dose-risposta per la valutazione di trattamenti continui nei sussidi alla r&s," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2015(3 Suppl.), pages 81-102.
    14. Apps, Patricia & Mendolia, Silvia & Walker, Ian, 2013. "The impact of pre-school on adolescents’ outcomes: Evidence from a recent English cohort," Economics of Education Review, Elsevier, vol. 37(C), pages 183-199.
    15. Jorge Leonardo Rueda Gil, 2017. "Cambio tecnológico y mejoras en el bienestar de los caficultores en Colombia: el caso de las variedades resistentes a la roya," Documentos CEDE 15665, Universidad de los Andes, Facultad de Economía, CEDE.
    16. Loi, Massimo & Rodrigues, Margarida, 2012. "A note on the impact evaluation of public policies: the counterfactual analysis," MPRA Paper 42444, University Library of Munich, Germany.
    17. Fatema, Naureen, 2019. "Can land title reduce low-intensity interhousehold conflict incidences and associated damages in eastern DRC?," World Development, Elsevier, vol. 123(C), pages 1-1.
    18. Marco Caliendo & Michel Clement & Dominik Papies & Sabine Scheel-Kopeinig, 2012. "Research Note ---The Cost Impact of Spam Filters: Measuring the Effect of Information System Technologies in Organizations," Information Systems Research, INFORMS, vol. 23(3-part-2), pages 1068-1080, September.
    19. Carsten Lynge Jensen, Lars Garn Hansen, Troels Fjordbak, and Erik Gudbjerg, 2012. "Providing Free Autopoweroff Plugs: Measuring the Effect on Households' Electricity Consumption through a Field Experiment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    20. Luis Aranda, 2013. "Doubling Up: A Gift or a Shame? Multigenerational Households and Parental Depression of Older Europeans," Working Papers 2013:29, Department of Economics, University of Venice "Ca' Foscari", revised 2013.

    More about this item

    Keywords

    Environmental Economics and Policy;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ajosrd:342338. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aesstea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.