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Resource Efficiency Estimation and Digital Recommendation: Sustainable Pathway to Improve Paddy Farmers' Productivity

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  • Singh, Piyush Kumar
  • Dey, Shiladitya
  • Pal, Anirban

Abstract

The study assesses the resource use efficiency of smallholder paddy farmers with/without considering undesirable outputs through the mobile-based application. Further, the study performs an impact assessment of digital recommendations on farmers' paddy yield improvement. A mobile app-based questionnaire was used to collect data from 153 paddy farmers in eastern India. The study employed Data Envelopment Analysis (DEA) to identify the farmers' resource use efficiency with/without undesirable output. We found lower farm eco-efficiency scores with undesirable output in the model compared to the case of not considering the undesirable output analysis. Results also showed that farmers are over-utilizing fertilizers, farming machinery, and labor in farming, which needs to be reduced to the recommended optimal level. Finally, using the Propensity Score Matching (PSM), we observed that the farmers achieved better paddy yield, i.e., an additional 0.6t/ha paddy, due to the adaptation of mobile-based recommendations. Subsequently, we used probit modeling to estimate the critical factors for adopting mobile-based services. Results show that farmers’ education level, farm experience, social capital, and market information play a significant role in mobile-app-based recommendation adoption. This study supports that farmers need to be suggested to use digital advisory services, and state/central policies may be aligned towards strengthening farmers' capacities for applying digital services in the farming system.

Suggested Citation

  • Singh, Piyush Kumar & Dey, Shiladitya & Pal, Anirban, 2023. "Resource Efficiency Estimation and Digital Recommendation: Sustainable Pathway to Improve Paddy Farmers' Productivity," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334522, Agricultural Economics Society - AES.
    • Handle: RePEc:ags:aesc23:334522
    DOI: 10.22004/ag.econ.334522
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    References listed on IDEAS

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    1. Arega Alene & V. Manyong, 2007. "The effects of education on agricultural productivity under traditional and improved technology in northern Nigeria: an endogenous switching regression analysis," Empirical Economics, Springer, vol. 32(1), pages 141-159, April.
    2. DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, WZB Berlin Social Science Center.
    3. Kassie, Menale & Shiferaw, Bekele & Muricho, Geoffrey, 2011. "Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda," World Development, Elsevier, vol. 39(10), pages 1784-1795.
    4. Abate, Gashaw Tadesse & Rashid, Shahidur & Borzaga, Carlo & Getnet, Kindie, 2016. "Rural Finance and Agricultural Technology Adoption in Ethiopia: Does the Institutional Design of Lending Organizations Matter?," World Development, Elsevier, vol. 84(C), pages 235-253.
    5. Banaeian, Narges & Zangeneh, Morteza, 2011. "Study on energy efficiency in corn production of Iran," Energy, Elsevier, vol. 36(8), pages 5394-5402.
    6. Houshyar, Ehsan & Azadi, Hossein & Almassi, Morteza & Sheikh Davoodi, Mohammad Javad & Witlox, Frank, 2012. "Sustainable and efficient energy consumption of corn production in Southwest Iran: Combination of multi-fuzzy and DEA modeling," Energy, Elsevier, vol. 44(1), pages 672-681.
    7. Khonje, Makaiko & Manda, Julius & Alene, Arega D. & Kassie, Menale, 2015. "Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia," World Development, Elsevier, vol. 66(C), pages 695-706.
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    Resource /Energy Economics and Policy; Environmental Economics and Policy;

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