Indian Journal of Agricultural Research

  • Chief EditorV. Geethalakshmi

  • Print ISSN 0367-8245

  • Online ISSN 0976-058X

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  • SJR 0.293

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Indian Journal of Agricultural Research, volume 54 issue 2 (april 2020) : 199-204

Input Use and Efficiency across Stages of Crop Production: A Micro Level Decision Making Process of Farmers

N. Rajasekaran
1Centre for Research and Development, Sree Saraswathi Thyagaraja College, Pollachi-642 107, Tamilnadu, India.
Cite article:- Rajasekaran N. (2019). Input Use and Efficiency across Stages of Crop Production: A Micro Level Decision Making Process of Farmers. Indian Journal of Agricultural Research. 54(2): 199-204. doi: 10.18805/IJARe.A-5314.
The area specific technology has put limits on the applicability of diffusion model in a resource diverse country like India and it accentuated the relevance of Schultz’s high-Pay off input model which emphasizes on rational resource allocation as the key for input use efficiency. In this backdrop, the study seeks to analyze the efficiency of input use across different stages of crop production. This study analyzed the input efficiency across different stages of crop cultivation for different crops in two diverse agro climatic regions like assured irrigated wet region representing modern agriculture and drought prone rainfed zone representing the traditional agriculture. The linear regression and Controlled Cobb-Douglas model results indicate that while vegetation stage inputs contribute more on output in wet area, maturation stage inputs are more efficient in dry area. The findings vividly manifest that there remains a multitude of input efficiency differentials across crops, across stages of production and across regions.
  1. Anderson J.R. et al. (1977). Agricultural Decision Analysis. Iowa State University Press, Iowa, USA.
  2. Antle, John M. (1983). Sequential decision making in production models, American Journal of Agricultural Economics. 65(2):282 90. 
  3. Hatchett Stephen Alan (1984). Dynamic input decisions: An econometric analysis of crop response to irrigation, Unpublished Ph D thesis, University of California, Davis.
  4. Hayami Y and Ruttan V W. 1971. Agricultural development: An international perspective. Johns Hopkins Press, Baltimore.
  5. Hazell P.B.R. and Scandizzo P.L. (1971). Farmers expectations risk aversion and Market equilibrium under risk, American Journal of Agricultural Economics. 59(1): 204-9.
  6. Kumar, S. and Upadhyay, S.K. (2019). Impact of climate change on agricultural productivity and food security in India: A State level analysis, Indian Journal of Agricultural Research. 53:133-142.
  7. Mellor J.W. (1966). Economics of Agricultural Development. Cornell University Press, Ithaca Newyork.
  8. Nerlove, Marc (1956). Estimates of supply of selected agricultural commodities. Journal of Farm Economics. 38: 496-509.
  9. Puhazhendhi, V (1987). Risk management in different farm situations: An application of game theory. Indian Journal of Agricultural Economics. 42(2): 173 81.
  10. Rajasekaran N. (2010), Micro-level decision-making process of farmers: a study of non-price factors. Journal of Social and Economic Development. 12(2): 172-92. 
  11. Roumasset, James A. (1976). Rice and Risk: Decision making among low income farmers, North Holland Publication Company, Amsterdam. 
  12. Sanap D.J., S.S. More and N.R. Bonkalwar (2016). Total factor productivity growth of pigeon pea crop in Maharashtra. Indian Journal of Agricultural Research. 50(2): 126-130.
  13. Schultz T.W. (1964). Transforming traditional agriculture, Yale University Press, New Haven, Conn. 
  14. Sekar I. (2014). Yield response modeling and decomposing production in rice in India. Indian Journal of Agricultural Research. 48(2): 89-96.
  15. Singh, N.P. and Vaishali (2016). Differential analysis of vegetative growth characters for developing stay green wheat. Indian Journal of Agricultural Research. 50(3): 254-258.
  16. Stevens, Robert D. and Cathy L. Jabara (1988). Agricultural Development Principles: Economic theory and empirical evidence. The Johns Hopkins University Press, Baltimore.
  17. Wharton C.R. (Jr) (1963). Research on Agricultural Development in South East Asia. Journal of Farm Economics. 45(5): 1161-74.
  18. Yujiro Hayami and Vernon W Ruttan (1971). Agricultural Development: An international perspective. The Johns Hopkins Press, Baltimore.

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