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Determinants of Wheat Productivity, with Special Reference to Haryana


  • Anand S Kodan
  • Amit Yadav
  • Vinod Kumar
  • Sandeep Mehra


This study, we have analyzes the growth and spatial pattern to find out the determinants of wheat productivity in Haryana. The Composite Standard Score (CSS) indicates that Kaithal, Karnal, Jind, Hisar, Fatehabad and Sirsa districts have secured top positions, while Gurgaon, Rewari and Mehandergarh have ended up in the last positions in the state in wheat crop intensity level. Out of these 11 variables, only one variable has been found to be significantly associated (negative) with wheat productivity (i.e., irrigation intensity). So, the authors suggest that the Government of Haryana should give importance to foresting and climate education to increase rainfall, providing low water absorbable seeds to save the water, appropriate utilization of water, providing sufficient finance as well as tractors at low, affordable cost, minimum paper work and minimum security for enhancing wheat productivity. It is the moral responsibility of North-Western (N-W) states of India in general and Haryana in particular to ensure increased wheat productivity to achieve the goal of a hunger-free India.

Suggested Citation

  • Anand S Kodan & Amit Yadav & Vinod Kumar & Sandeep Mehra, 2012. "Determinants of Wheat Productivity, with Special Reference to Haryana," The IUP Journal of Agricultural Economics, IUP Publications, vol. 0(1), pages 20-31, January.
  • Handle: RePEc:icf:icfjag:v:09:y:2012:i:1:p:20-31

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    References listed on IDEAS

    1. Harvey, Andrew & Koopman, Siem Jan & Riani, Marco, 1997. "The Modeling and Seasonal Adjustment of Weekly Observations," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 354-368, July.
    2. Lovell Jarvis & Esperanza Vera-Toscano, 2004. "Seasonal Adjustment in a Market for Female Agricultural Workers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 254-266.
    3. Douglas J. Miller & Marvin L. Hayenga, 2001. "Price Cycles and Asymmetric Price Transmission in the U.S. Pork Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 551-562.
    4. Randal R. Rucker & Walter N. Thurman & Jonathan K. Yoder, 2005. "Estimating the Structure of Market Reaction to News: Information Events and Lumber Futures Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 482-500.
    5. Ana I. Sanjuán & P. J. Dawson, 2003. "Price transmission, BSE and structural breaks in the UK meat sector," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(2), pages 155-172, June.
    6. Timothy J. Richards & Paul M. Patterson, 2005. "Retail Price Fixity as a Facilitating Mechanism," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 85-102.
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