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Factors affecting adoption of improved method in large cardamom curing and drying and its impact on household income in the Eastern Himalayan road-corridor of Nepal

Author

Listed:
  • Kattel, R.R.
  • Regmi, P.P.
  • Sharma, M.D.
  • Thapa, Y.B.

Abstract

This paper examines the adoption of an improved method of curing and drying of large cardamom, a technology that has recently been introduced at the farm level in the Eastern Himalayan road corridor of Nepal. A probit model was applied to assess factors influencing the adoption of an improved method of curing and drying by using household data of 300 farmers in Taplejung district obtained in 2019. Further, the income regression model was used to investigate factors influencing annual household income from large cardamom. Findings revealed that the adoption of an improved method of large cardamom drying was mostly determined by access to credit from the financial institutions while controlling other explanatory variables. Such adoption of an improved method of large cardamom curing and drying resulted in more than twofold increase in household income from large cardamom. An instrumental variable approach was applied to check the robustness of the findings. The findings revealed that household income from large cardamom, risk aversion of farmers, age, access to credit, access to technical services, experience of farmers on large cardamom farming significantly contributed in the adoption of improved methods in curing and drying; and improved methods of drying and concrete type of houses structure contributed to household income from large cardamom. The impact of the adoption of improved methods of curing and drying boosted the household income by 432% from the large cardamom as compared to traditional methods using instrumental variable model whose contribution was only 34.3% in OLS regression. These findings suggested that the promotion of an improved method of curing and drying is needed at the farm level for the increment of farmers' income and development of competitiveness of large cardamom in the global markets.

Suggested Citation

  • Kattel, R.R. & Regmi, P.P. & Sharma, M.D. & Thapa, Y.B., 2020. "Factors affecting adoption of improved method in large cardamom curing and drying and its impact on household income in the Eastern Himalayan road-corridor of Nepal," Technology in Society, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:teinso:v:63:y:2020:i:c:s0160791x19305913
    DOI: 10.1016/j.techsoc.2020.101384
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    1. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 2-16, January.
    2. Kattel, Rishi Ram, 2015. "Adoption of Technology Upgrading by Rural Smallholders in the Nepalese Coffee Sector," Sukkur IBA Journal of Management and Business, Sukkur IBA University, vol. 2(2), pages 1-17, October.
    3. Dan Yaron & Hillary Voet & Ariel Dinar, 1992. "Innovations on Family Farms: The Nazareth Region in Israel," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 361-370.
    4. James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, February.
    5. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    6. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    7. 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.
    8. Asfaw, Solomon & Shiferaw, Bekele & Simtowe, Franklin & Lipper, Leslie, 2012. "Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia," Food Policy, Elsevier, vol. 37(3), pages 283-295.
    9. Mariano, Marc Jim & Villano, Renato & Fleming, Euan, 2012. "Factors influencing farmers’ adoption of modern rice technologies and good management practices in the Philippines," Agricultural Systems, Elsevier, vol. 110(C), pages 41-53.
    10. Raju Ghimire & Wen-Chi Huang, 2015. "Household wealth and adoption of improved maize varieties in Nepal: a double-hurdle approach," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 7(6), pages 1321-1335, December.
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    More about this item

    Keywords

    Large cardamom; Technology adoption; Instrumental variable model; Nepal;
    All these keywords.

    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment
    • P32 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Collectives; Communes; Agricultural Institutions
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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