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Economic impact of Rythu Bharosa Kendras (RBKs) in Andhra Pradesh, India

Author

Listed:
  • K. Nirmal Ravi Kumar

    (Acharya NG Ranga Agricultural University (ANGRAU), Government of Andhra Pradesh)

  • Adinan Bahahudeen Shafiwu

    (University for Development Studies)

  • Ishaque Mahama

    (Simon Diedong Dombo University of Business and Integrated Development Studies)

Abstract

The study presented a comprehensive analysis of the impact of farmers' participation in Rythu Bharosa Kendras (RBKs) on technical efficiency (TE) and cost of cultivation (CoC) in rice farming. The study employed the data envelopment analysis (DEA) to measure the TE of rice farms. Data for the study were taken from the Kharif 2022 by randomly selecting rice farms across treated and untreated categories. To address endogeneity, the study employed the inverse probability weighting with regression adjustment (IPWRA) and augmented inverse probability weighting (AIPW) methods. These models consistently demonstrate that participation in RBKs lead to significantly higher TE (0.82) compared to untreated farms (0.71) and lower CoC and CoP among treated rice farms, indicating a significant positive impact of RBKs on enhancing resource use efficiency, reducing costs, and improving the competitiveness of rice farming. The study concludes that participating in RBKs have a positive influence on various efficiency measures and cost parameters compared to untreated farms. Based on the findings, the study recommends the need to expand farmers' participation in RBKs, prioritizing initiatives that incentivize and encourage farmers' involvement in RBKs through awareness campaigns, financial incentives, and capacity-building programs as well as implement a robust monitoring and evaluation system to track RBK performance and inform iterative adjustments, and enhance export competitiveness by collaborating with importing countries, adherence to global quality standards, and infrastructure investments.

Suggested Citation

  • K. Nirmal Ravi Kumar & Adinan Bahahudeen Shafiwu & Ishaque Mahama, 2025. "Economic impact of Rythu Bharosa Kendras (RBKs) in Andhra Pradesh, India," SN Business & Economics, Springer, vol. 5(1), pages 1-31, January.
    • Handle: RePEc:spr:snbeco:v:5:y:2025:i:1:d:10.1007_s43546-024-00775-7
    DOI: 10.1007/s43546-024-00775-7
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    1. Ugochukwu, Albert I. & Ezedinma, Chuma I., 2011. "Intensification of Rice Production Systems in Southeastern Nigeria: A Policy Analysis Matrix Approach," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 1(2), pages 1-12, June.
    2. Saptana & Apri Laila Sayekti & Atika Dyah Perwita & Bambang Sayaka & Endro Gunawan & Syahrul Ganda Sukmaya & Nur Qomariah Hayati & Yusuf & Sumaryanto & Muhammad Prama Yufdy & Sudi Mardianto & Atika Di, 2022. "Analysis of competitive and comparative advantages of potato production in Indonesia," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-21, February.
    3. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    4. 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.
    5. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    6. Rubin Daniel B & van der Laan Mark J., 2008. "Empirical Efficiency Maximization: Improved Locally Efficient Covariate Adjustment in Randomized Experiments and Survival Analysis," The International Journal of Biostatistics, De Gruyter, vol. 4(1), pages 1-42, May.
    7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    8. Richard Kwasi Bannor & Helena Oppong-Kyeremeh & Bismark Amfo & Lesley Hope & Samuel Kwabena Chaa Kyire, 2022. "The Nexus Between Cocoa Farmers’ Business Schools Participation and Impact to Support Livelihood Improvement Strategies in Ghana," SAGE Open, , vol. 12(2), pages 21582440221, June.
    9. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    10. Idowu James Fasakin & Adebayo Isaiah Ogunniyi & Lateef Olalekan Bello & Djana Mignouna & Razack Adeoti & Zoumana Bamba & Tahirou Abdoulaye & Bola Amoke Awotide, 2022. "Impact of Intensive Youth Participation in Agriculture on Rural Households’ Revenue: Evidence from Rice Farming Households in Nigeria," Agriculture, MDPI, vol. 12(5), pages 1-17, April.
    11. 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.
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    More about this item

    Keywords

    Rice; Technical efficiency; Cost of cultivation; Cost of production; Doubly robust estimation;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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