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A Study on the Adoption and Impact of Finger Millet Landrace (Bada Mandia) in Koraput District of Odisha

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  • Mishra, Sarba Narayan
  • Kumar, K. Nirmal Ravi
  • Reddy, M. Jagan Mohan
  • Nandy, A.
  • Mandal, B.K.
  • Mishra, S.
  • Das, M. K.

Abstract

The present study has analysed the adoption and impact of finger millet landrace, ‘Bada Mandia’ on yields and net income of smallholders in Koraput district of Odisha using the Propensity Score Matching (PSM) technique. To validate the PSM findings, doubly robust models, viz., Inverse Probability Weighted Regression Adjustment (IPWRA) and Augmented Inverse Propensity Weighted (AIPW) estimator were used. A stratified purposive sampling technique was employed to select a representative sample of 100 treated and 250 untreated farmers. The findings from Propensity Score Matching revealed that the mean yield and net income among treated farms are significantly higher than the non-adopter counterparts across different matching algorithms. The results from IPWRA and AIPW also showed a positive and significant impact on the adoption of Bada Mandia on finger millet yield and net income of treated farms. The results further pave the way for future policymaking for increased production and income for the farmers at large from finger millet cultivation in the State.

Suggested Citation

  • Mishra, Sarba Narayan & Kumar, K. Nirmal Ravi & Reddy, M. Jagan Mohan & Nandy, A. & Mandal, B.K. & Mishra, S. & Das, M. K., 2023. "A Study on the Adoption and Impact of Finger Millet Landrace (Bada Mandia) in Koraput District of Odisha," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 0(Number 3), September.
  • Handle: RePEc:ags:inijae:345228
    DOI: 10.22004/ag.econ.345228
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    References listed on IDEAS

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    1. Glynn, Adam N. & Quinn, Kevin M., 2010. "An Introduction to the Augmented Inverse Propensity Weighted Estimator," Political Analysis, Cambridge University Press, vol. 18(1), pages 36-56, January.
    2. Manzoor H. Dar & Showkat A. Waza & Sarvesh Shukla & Najam W. Zaidi & Swati Nayak & Mosharaf Hossain & Arvind Kumar & Abdelbagi M. Ismail & Uma S. Singh, 2020. "Drought Tolerant Rice for Ensuring Food Security in Eastern India," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
    3. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    4. van der Laan Mark J. & Rubin Daniel, 2006. "Targeted Maximum Likelihood Learning," The International Journal of Biostatistics, De Gruyter, vol. 2(1), pages 1-40, December.
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