IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02166836.html

Modeling farmers’ decisions on tea varieties in Vietnam: a multinomial logit analysis

Author

Listed:
  • Phu Nguyen-Van

    (BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique)

  • Cyrielle Poiraud

    (BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique)

  • Nguyen To-The

    (VNUA - Vietnam National University of Agriculture)

Abstract

This article analyzes households' choice on tea varieties in Vietnam by using a multinomial logit model. The modeling takes into account the issue of unobserved individual heterogeneity and the endogeneity of some explanatory variables (use of chemical and organic fertilizers). The results show that important factors influencing the decision to adopt one type of tea varieties include income, age, household size, farming contract, and use of organic fertilizers, but also membership of professional associations such as the Tea Association and the Farmers Union.

Suggested Citation

  • Phu Nguyen-Van & Cyrielle Poiraud & Nguyen To-The, 2017. "Modeling farmers’ decisions on tea varieties in Vietnam: a multinomial logit analysis," Post-Print hal-02166836, HAL.
  • Handle: RePEc:hal:journl:hal-02166836
    DOI: 10.1111/agec.12334
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kwabena Nyarko Addai & John N. Ng’ombe & Wencong Lu, 2023. "Disaggregated impacts of off-farm work participation on household vulnerability to food poverty in Ghana," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(1), pages 83-104, March.
    2. Lu, Wencong & Addai, Kwabena Nyarko & Ng’ombe, John N., 2021. "Does the use of multiple agricultural technologies affect household welfare? Evidence from Northern Ghana," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 60(4), November.
    3. Bright O. Asante & Kwabena N. Addai & Stephen Prah & Omphile Temoso & John N. Ng'ombe, 2023. "Hand pollination, mass spraying, and hybrid seedlings: Do these technologies affect the welfare of smallholder cocoa farmers in Ghana?," Review of Development Economics, Wiley Blackwell, vol. 27(4), pages 2271-2300, November.
    4. Makaiko G. Khonje & Julius Manda & Petros Mkandawire & Adane Hirpa Tufa & Arega D. Alene, 2018. "Adoption and welfare impacts of multiple agricultural technologies: evidence from eastern Zambia," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 599-609, September.
    5. Zachary Porreca, 2024. "A Note on Uncertainty Quantification for Maximum Likelihood Parameters Estimated with Heuristic Based Optimization Algorithms," Papers 2401.07176, arXiv.org.
    6. Aminata Diagne & Lota Tamini & Patrick Mundler, 2019. "Factors Explaining the Dynamics of Agricultural Technology Adoption: Evidence from Senegal's Rain Maize Farmers," CIRANO Working Papers 2019s-08, CIRANO.
    7. Somjai Nupueng & Peter Oosterveer & Arthur P. J. Mol, 2023. "Global and local sustainable certification systems: Factors influencing RSPO and Thai-GAP adoption by oil palm smallholder farmers in Thailand," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6337-6362, July.
    8. Han, Guang & Niles, Meredith T., 2023. "An adoption spectrum for sustainable agriculture practices: A new framework applied to cover crop adoption," Agricultural Systems, Elsevier, vol. 212(C).
    9. Huong-Giang Pham & Tuong-Anh T. Nguyen & Hoang-Nam Vu, 2023. "Adoption of Sustainable Practices for Improving Agricultural Productivity in Viet Nam," Working Papers DP-2022-41, Economic Research Institute for ASEAN and East Asia (ERIA).
    10. Onuorah Hyacinth, Edeh & Mavrotas, George, "undated". "Examining perceived land tenure security and dispute resolution pathway preferences among landholders: Implications for land governance reforms in Nigeria," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273500, Agricultural Economics Society.
    11. Ma, Wanglin & Zheng, Hongyun & Gong, Binlei, 2022. "Rural income growth, ethnic differences, and household cooking fuel choice: Evidence from China," Energy Economics, Elsevier, vol. 107(C).
    12. Abdul Muis Hasibuan & Daniel Gregg & Randy Stringer, 2021. "The role of certification, risk and time preferences in promoting adoption of climate-resilient citrus varieties in Indonesia," Climatic Change, Springer, vol. 164(3), pages 1-21, February.
    13. Tuan Nguyen‐Anh & Shawn Leu & Anh Nguyen‐Thi‐Phuong & Thanh Ngo‐Dang & Nguyen To‐The, 2023. "Adapting to the new normal: A sustainable livelihood framework for the informal sectors during COVID‐19," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 1092-1112, May.
    14. Yuan Hu & Ziyang Zhou & Li Zhou & Caiming Liu, 2024. "Self-Owned or Outsourced? The Impact of Farm Machinery Adoption Decisions on Chinese Farm Households’ Operating Income," Agriculture, MDPI, vol. 14(11), pages 1-26, October.
    15. Idelphonse O. Saliou & Afio Zannou & Augustin K. N. Aoudji & Albert N. Honlonkou, 2020. "Drivers of Mechanization in Cotton Production in Benin, West Africa," Agriculture, MDPI, vol. 10(11), pages 1-13, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare 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:hal:journl:hal-02166836. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.