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Technical Efficiency of Rice Farms under Irrigated Conditions in Central Gujarat

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  • Narala, Anuradha
  • Zala, Y.C.

Abstract

The present investigation undertaken in the central Gujarat, has estimated the technical efficiency in rice production and has assessed the effect of farm-specific socio-economic factors on this technical efficiency. A stochastic frontier production function has been estimated to determine technical efficiency of individual farms and variance as well as regression analyses have been carried out to find the influence of socioeconomic factors. The study has revealed that the farm-specific technical efficiencies range from 71.39 per cent to 99.82 per cent, with the mean of 72.78 per cent, which indicates that on average, the realized output can be raised by 27 per cent in the region with the available technology and resources, without any additional resources. It has been found that factors like operational area, experience, education and distance of field from canal structure are the most influential determinants of technical efficiency, while the variable, number of working family members, has shown significant but negative relationship with technical efficiency. By adopting good management practices and proper allocation of the existing resources and technology, along with sound extension programmes, the potential that exists for improving the productivity of rice in the state, could be exploited.

Suggested Citation

  • Narala, Anuradha & Zala, Y.C., 2010. "Technical Efficiency of Rice Farms under Irrigated Conditions in Central Gujarat," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 23(2), July.
    • Handle: RePEc:ags:aerrae:97018
    DOI: 10.22004/ag.econ.97018
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    2. Hayatullah Ahmadzai, 2017. "Crop Diversification and Technical Efficiency in Afghanistan: Stochastic Frontier Analysis," Discussion Papers 2017-04, University of Nottingham, CREDIT.
    3. Misra, J. & Misra, S.R., 2014. "Technical Efficiency of Fish Farms in West Bengal: Nature, Extent and Implications," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 27(2).
    4. Raj bahadur Singh Chandel & Aftab Khan & Xiaojing Li & Xianli Xia, 2022. "Farm-Level Technical Efficiency and Its Determinants of Rice Production in Indo-Gangetic Plains: A Stochastic Frontier Model Approach," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    5. Musa, H. Ahmed & Lemma, Z. & Endrias, G., 2015. "Measuring Technical, Economic and Allocative Efficiency of Maize Production in Subsistence Farming: Evidence from the Central Rift Valley of Ethiopia," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 9(3), pages 1-12, December.
    6. Nainggolan, Saidin & Fitri, Yanuar, 2024. "Assessment of the efficiency of palm plantations using a stochastic frontier approach," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 10(1), March.
    7. Hayatullah Ahmadzai, 2022. "Hope for Change: Is Diversifying Production Portfolios an Ideal Strategy to Boost Farming Efficiency in Afghanistan?," Progress in Development Studies, , vol. 22(1), pages 7-31, January.
    8. Salman Khan & Syed Attaullah Shah & Shahid Ali & Amjad Ali & Lal K. Almas & Sania Shaheen, 2022. "Technical Efficiency and Economic Analysis of Rice Crop in Khyber Pakhtunkhwa: A Stochastic Frontier Approach," Agriculture, MDPI, vol. 12(4), pages 1-15, April.
    9. Priya Brata Bhoi & Veeresh S. Wali & Deepak Kumar Swain & Kalpana Sharma & Akash Kumar Bhoi & Manlio Bacco & Paolo Barsocchi, 2021. "Input Use Efficiency Management for Paddy Production Systems in India: A Machine Learning Approach," Agriculture, MDPI, vol. 11(9), pages 1-27, August.

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