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Technical Efficiency in Agricultural Production and Its Determinants : An Exploratory Study at the District Level

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  • K. R. Shanmugam

    (MSE)

  • Atheendar Venkataramani

Abstract

Given the importance of agriculture to the well being of a large percentage of Indias population, it becomes important to study how improvements can be made in the productivity of this sector. This study attempts to estimate the technical efficiency a measure of how well inputs are being used towards producing output of about 250 Indian districts in 1990-91. It employs the stochastic frontier function methodology. The results indicate that (i) the land elasticity is the highest followed by fertilizer; (ii) the mean efficiency of raising agricultural output is 79 per cent and therefore there is a scope for increasing output by 21 per cent without additional resources; (iii) states such as Madhya Pradesh, Uttar Pradesh, and Rajasthan have the largest number of districts with below average TE and they stand to gain the most from policy interventions towards improving technical efficiency. The results further indicate that health, education, and infrastructure are powerful drivers of efficiency at the district level and the relative importance of the determinants of efficiency across districts depends greatly on environmental factors, such as agro-climatic zones, technological factors, and crop mix. The results highlight the need for developing policy strategies at a more localized level.

Suggested Citation

  • K. R. Shanmugam & Atheendar Venkataramani, 2006. "Technical Efficiency in Agricultural Production and Its Determinants : An Exploratory Study at the District Level," Macroeconomics Working Papers 22513, East Asian Bureau of Economic Research.
  • Handle: RePEc:eab:macroe:22513
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    Cited by:

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    2. Lavanya Ravikanth Anneboina & K. S. Kavi Kumar, 2016. "Contribution of Mangroves to Marine Fisheries in India," Working Papers 2016-145, Madras School of Economics,Chennai,India.
    3. Li Li & Atsushi Tsunekawa & Yangshangyu Zuo & Atsushi Koike, 2019. "Conservation Payments and Technical Efficiency of farm Households Participating in the Grain for Green Program on the Loess Plateau of China," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    4. Kailash Chandra Pradhan & Shrabani Mukherjee, "undated". "Technical Efficiency of Agricultural Production in India: Evidence from REDS Survey," Working Papers 2017-161, Madras School of Economics,Chennai,India.
    5. Lin Liu & Honggang Sun, 2019. "The Impact of Collective Forestland Tenure Reform on the Forest Economic Efficiency of Farmers in Zhejiang Province," Sustainability, MDPI, vol. 11(8), pages 1-15, April.
    6. 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.
    7. Raju, Swati & Mathur, Rajani, 2018. "Efficiency Among Sugarcane Farmers of Bhirdachiwadi, Maharashtra: A Case Study," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 73(02), April.
    8. Haq, Imtiyaz ul & Tariq, Asif, 2020. "Technical Efficiency of Saffron Cultivating Farms in Kashmir Valley: Post National Saffron Mission Implementation," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 0(Number 3), September.
    9. Hamsa, K.R. & Umesh, K.B., 2021. "Technical Efficiency in Finger Millet and Paddy Crop in Southern Karnataka: Application of Data Envelop Analysis and Stochastic Frontier Approach," 2021 Conference, August 17-31, 2021, Virtual 315862, International Association of Agricultural Economists.
    10. Bhatt, Mohammad Sultan & Bhat, Showkat Ahmad, 2014. "Technical Efficiency and Farm Size Productivity ― Micro Level Evidence from Jammu & Kashmir," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(4), pages 1-22, October.
    11. Anirban Nandy & Piyush Kumar Singh & Alok Kumar Singh, 2021. "Systematic Review and Meta- regression Analysis of Technical Efficiency of Agricultural Production Systems," Global Business Review, International Management Institute, vol. 22(2), pages 396-421, April.
    12. Ziqi Yin & Jianzhai Wu, 2021. "Spatial Dependence Evaluation of Agricultural Technical Efficiency—Based on the Stochastic Frontier and Spatial Econometric Model," Sustainability, MDPI, vol. 13(5), pages 1-12, March.
    13. Zwane, Talent & Biyase, Mduduzi & Maleka, Mokgadi & Maluleka, Abelwe, 2020. "Technical Efficiency and Economic Growth in the SADC Region," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 73(2), pages 307-324.
    14. Kailash Chandra Pradhan & Shrabani Mukherjee, 2018. "Examining Technical Efficiency in Indian Agricultural Production Using Production Frontier Model," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 19(1), pages 22-42, March.
    15. Anneboina, Lavanya Ravikanth & Kavi Kumar, K.S., 2017. "Economic analysis of mangrove and marine fishery linkages in India," Ecosystem Services, Elsevier, vol. 24(C), pages 114-123.
    16. Yayuan Pang & Xinjun Wang, 2020. "Land-Use Efficiency in Shandong (China): Empirical Analysis Based on a Super-SBM Model," Sustainability, MDPI, vol. 12(24), pages 1-20, December.

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    More about this item

    Keywords

    agriculture; technical efficiency; stochastic frontier function; India;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D20 - Microeconomics - - Production and Organizations - - - General

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