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Adoption of climate-smart agriculture technology in drought-prone area of India – implications on farmers' livelihoods

Author

Listed:
  • Barun Deb Pal
  • Shreya Kapoor
  • Sunil Saroj
  • M.L. Jat
  • Yogesh Kumar
  • K.H. Anantha

Abstract

Purpose - Laser land leveling (LLL) is a climate-smart technology that improves water use efficiency and reduces risk in crop cultivation due to weather variability. Hence, this technology is useful for cultivating water-intensive crops in a sustainable way. Given this background, the state government of Karnataka initiated to promote LLL in drought-prone districts and selected Raichur district for implementation. Moreover, farmers in this district had observed drought situation during monsoon paddy growing season in 2018. Therefore, this study attempts to investigate the importance of LLL technology for paddy cultivation under drought conditions. Design/methodology/approach - A primary survey with 604 farmer households had been conducted in Raichur in 2018. Among them, 50% are adopters of LLL who have been selected purposively and rest 50% are non-adopters who have grown paddy in the adjacent or nearest plot of the laser-leveled plot. The adoption and causal impact of LLL has been estimated using propensity score matching, coarsened exact matching and endogenous switching regression methods. Findings - The result reveals a positive and significant impact of LLL on paddy yield and net returns to the farmers. The results indicate an increment of 12 and 16% in rice yield and net income, respectively, for LLL adopters in comparison to the non-adopters of LLL. Research limitations/implications - The major limitation of the study is that it does not adopt the method of experimental study due to certain limitations; hence, the authors employed a quasi-experimental method to look at the possible impact of adoption of LL. Originality/value - There have been various agronomic studies focusing on theex-anteassessment of the LLL. This study is anex-postassessment of the technology on the crop yield and farmers' income in a dry semi-arid region of India, which, according to the authors, is the first in this approach.

Suggested Citation

  • Barun Deb Pal & Shreya Kapoor & Sunil Saroj & M.L. Jat & Yogesh Kumar & K.H. Anantha, 2021. "Adoption of climate-smart agriculture technology in drought-prone area of India – implications on farmers' livelihoods," Journal of Agribusiness in Developing and Emerging Economies, Emerald Group Publishing Limited, vol. 12(5), pages 824-848, July.
    • Handle: RePEc:eme:jadeep:jadee-01-2021-0033
    DOI: 10.1108/JADEE-01-2021-0033
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    Keywords

    Climate-smart agriculture; Laser land leveling; Paddy yield; Net farm income; Karnataka; C5; Q1; Q16; Q24; Q25; Q56;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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