IDEAS home Printed from https://ideas.repec.org/p/ags/iaae12/126759.html
   My bibliography  Save this paper

Impacts of Site-Specific Nutrient Management in Irrigated Rice Farms in the Red River Delta, Northern Vietnam

Author

Listed:
  • Rodriguez, Divina Gracia P.
  • Nga, Nguyen Thi Duong

Abstract

This study estimates the impact of the adoption of SSNM practices on rice production of smallholder farmers in Vietnam using cross-section household data (n = 371) gathered from the provinces of Ha Nam and Ha Tay in the Red River Delta. Specifically, it investigates the economic impact of SSNM, focusing on SSNM-induced changes in the yield, profit, nitrogen use and pesticide use of farmers. The instrumental variables (IV) approach is used to achieve this objective because it deals with endogeneity and self-selection bias present in the study. SSNM improves the paddy yield of farmers by 0.6 tons per hectare and profit by $150 per hectare. It has no statistically significant effect on the amount of pesticide and nitrogen use of farmers. The higher profits for adopters versus non-adopters of SSNM arise from increased grain yield rather from reducing fertilizer costs and pesticide costs. Results of the impact analysis identified several directions that can be pursued to improve further the adoption of SSNM.

Suggested Citation

  • Rodriguez, Divina Gracia P. & Nga, Nguyen Thi Duong, 2012. "Impacts of Site-Specific Nutrient Management in Irrigated Rice Farms in the Red River Delta, Northern Vietnam," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126759, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae12:126759
    DOI: 10.22004/ag.econ.126759
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/126759/files/RodriguezNga.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.126759?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. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    2. Pampolino, M.F. & Manguiat, I.J. & Ramanathan, S. & Gines, H.C. & Tan, P.S. & Chi, T.T.N. & Rajendran, R. & Buresh, R.J., 2007. "Environmental impact and economic benefits of site-specific nutrient management (SSNM) in irrigated rice systems," Agricultural Systems, Elsevier, vol. 93(1-3), pages 1-24, March.
    3. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    4. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    5. Thomas M. Burrows, 1983. "Pesticide Demand and Integrated Pest Management: A Limited Dependent Variable Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(4), pages 806-810.
    6. 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.
    7. Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
    8. Akinola, Adebayo A. & Arega, D.A. & Adeyemo, Remi & Sanogo, Diakalia & Olanrewaju, Adetunji S. & Nwoke, C. & Nzigaheba, G. & Diels, J., 2008. "Determinants of adoption and intensity of use of balanced nutrient management systems technologies in the northern Guinea savanna of Nigeria," 2007 Second International Conference, August 20-22, 2007, Accra, Ghana 52007, African Association of Agricultural Economists (AAAE).
    9. 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.
    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. James J. Heckman, 2008. "Econometric Causality," International Statistical Review, International Statistical Institute, vol. 76(1), pages 1-27, April.
    2. Faruque As Sunny & Linlin Fu & Md Sadique Rahman & Zuhui Huang, 2022. "Determinants and Impact of Solar Irrigation Facility (SIF) Adoption: A Case Study in Northern Bangladesh," Energies, MDPI, vol. 15(7), pages 1-17, March.
    3. Kamiche Zegarra, J. & Bravo-Ureta, B., 2018. "Are users of market information efficient? A stochastic production frontier model corrected by sample selection," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275870, International Association of Agricultural Economists.
    4. Shuxi Zeng & Fan Li & Peng Ding, 2020. "Is being an only child harmful to psychological health?: evidence from an instrumental variable analysis of China's one‐child policy," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1615-1635, October.
    5. Rahul Singh & Liyuan Xu & Arthur Gretton, 2020. "Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves," Papers 2010.04855, arXiv.org, revised Oct 2022.
    6. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: an application to treatments of breast cancer patients," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1133-1157.
    7. Guo, Shenyang & Barth, Richard P. & Gibbons, Claire, 2006. "Propensity score matching strategies for evaluating substance abuse services for child welfare clients," Children and Youth Services Review, Elsevier, vol. 28(4), pages 357-383, April.
    8. Tesfay, M., 2018. "Adoption of diversified farm technology in a semi arid of northern Ethiopia: A Panel Data Analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276008, International Association of Agricultural Economists.
    9. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert J. & Smith, Jeffrey A. & Taylor, Evan J., 2015. "Simple Tests for Selection Bias: Learning More from Instrumental Variables," IZA Discussion Papers 9346, Institute of Labor Economics (IZA).
    10. Michael Lechner & Blaise Melly, 2007. "Earnings Effects of Training Programs," University of St. Gallen Department of Economics working paper series 2007 2007-28, Department of Economics, University of St. Gallen.
    11. Egziabher, Kidanemariam G. & Mathijs, Erik & Deckers, Jozef A. & Gebrehiwot, Kindeya & Bauer, Hans & Maertens, Miet, 2013. "The Economic Impact of a New Rural Extension Approach in Northern Ethiopia," Working Papers 146558, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    12. Lina Zhang & David T. Frazier & D. S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Papers 2009.02642, arXiv.org, revised Sep 2022.
    13. Tripathi, Amarnath & Sardar, Sucheta & Shyam, Hari Shankar, 2023. "Hybrid crops, income, and food security of smallholder families: Empirical evidence from poor states of India," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    14. James J. Heckman & Rodrigo Pinto, 2022. "Causality and Econometrics," NBER Working Papers 29787, National Bureau of Economic Research, Inc.
    15. Bonou, Alice & Diagne, Aliou & Biaou, Gauthier, 2013. "Agricultural technology adoption and rice varietal diversity: A Local Average Treatment Effect (LATE) Approach for rural Benin," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 158482, African Association of Agricultural Economists (AAAE).
    16. Zhao, Zhong, 2008. "Sensitivity of propensity score methods to the specifications," Economics Letters, Elsevier, vol. 98(3), pages 309-319, March.
    17. Saudamini Das, "undated". "Evaluating the Role of Media in Averting Heat Stroke Mortality: A Daily Panel Data Analysis," Working papers 102, The South Asian Network for Development and Environmental Economics.
    18. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert & Smith, Jeffrey A. & Taylor, Evan J., 2022. "Simple Tests for Selection: Learning More from Instrumental Variables," Labour Economics, Elsevier, vol. 79(C).
    19. Lewbel, Arthur & Yang, Thomas Tao, 2016. "Identifying the average treatment effect in ordered treatment models without unconfoundedness," Journal of Econometrics, Elsevier, vol. 195(1), pages 1-22.
    20. Cunguara, Benedito & Darnhofer, Ika, 2011. "Assessing the impact of improved agricultural technologies on household income in rural Mozambique," Food Policy, Elsevier, vol. 36(3), pages 378-390, June.

    More about this item

    Keywords

    Crop Production/Industries; Farm Management;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iaae12:126759. 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/iaaeeea.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.