IDEAS home Printed from https://ideas.repec.org/a/ags/aerrae/47433.html
   My bibliography  Save this article

Sugar Industry in Uttar Pradesh: Efficiency Still Holds the Key

Author

Listed:
  • Singh, N.P.
  • Singh, Paramatma
  • Singh, R.P.

Abstract

The sugar industry is a major agro-based industry of Uttar Pradesh where cropping pattern is largely subsistence-oriented and sugarcane is one of the important cash crops. During 2001-02, the state had 20.35 lakh ha area under sugarcane out of the total 44.03 lakh ha area under sugarcane in the country. The sugar industry has shown considerable instability in the level of production as a result of inter-dependence and inter-relationship between sugarcane, gur, khandsari and white sugar, leading to fluctuations in the production of sugarcane as well as sugar. These fluctuations emanate from the presence of various processing sectors and the differential governmental policies. Such an uncertain state of affairs is neither conducive to sound growth of the industry nor the growers. In view of this scenario, it was felt necessary to carry out an investigation, which can reveal the present status of sugar industry in terms of its efficiency in operations. The study has revealed that most of the mills were in the efficiency range of 60-80 per cent. Efficiency was higher in the private sector (81%), followed by the public (73%) and co-operative (66%) sectors. Though this study has advocated the continuation of partial decontrol policy, it has urged the policymakers to streamline strategies that promote stabilization of sugarcane economy and make the state a credible supplier of sugar in the international market, benefiting growers, processors and, in turn, consumers.

Suggested Citation

  • Singh, N.P. & Singh, Paramatma & Singh, R.P., 2007. "Sugar Industry in Uttar Pradesh: Efficiency Still Holds the Key," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 20(01).
    • Handle: RePEc:ags:aerrae:47433
    DOI: 10.22004/ag.econ.47433
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/47433/files/12.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.47433?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Joseph P. Hughes & Julapa Jagtiani & Loretta J. Mester, 2016. "Is Bigger Necessarily Better in Community Banking?," Working Papers (Old Series) 1615, Federal Reserve Bank of Cleveland.
    2. Trigo Gamarra, Lucinda, 2008. "The effects of liberalization and deregulation on the performance of financial institutions: The case of the German life insurance market," Thuenen-Series of Applied Economic Theory 93, University of Rostock, Institute of Economics.
    3. Hasan, Iftekhar & Lozano-Vivas, Ana, 2002. "Organizational Form and Expense Preference: Spanish Experience," Bulletin of Economic Research, Wiley Blackwell, vol. 54(2), pages 135-150, April.
    4. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    5. Richard A. Hofler & John A. List, 2004. "Valuation on the Frontier: Calibrating Actual and Hypothetical Statements of Value," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 213-221.
    6. Daniel Solís & Boris E. Bravo‐Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219, February.
    7. J P Elhorst, 1998. "The Nonutilisation of Human Capital in Regional Labour Markets across Europe," Environment and Planning A, , vol. 30(5), pages 901-920, May.
    8. Holtkamp, A.M. & Brummer, B., 2018. "Environmental efficiency of smallholder rubber production," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277518, International Association of Agricultural Economists.
    9. Maria Isabel Pisa & Rosario Sánchez, 2018. "Un análisis regional de las empresas manufactureras españolas para el periodo 2004-2009: Un patrón Noroeste/Suroeste," Revista de Estudios Regionales, Universidades Públicas de Andalucía, vol. 3, pages 221-241.
    10. Koetter Michael, 2008. "An Assessment of Bank Merger Success in Germany," German Economic Review, De Gruyter, vol. 9(2), pages 232-264, May.
    11. Raushan Bokusheva & Lukáš Čechura & Subal C. Kumbhakar, 2023. "Estimating persistent and transient technical efficiency and their determinants in the presence of heterogeneity and endogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 450-472, June.
    12. Liu, Rui & Lopez Barrera, Emiliano, 2024. "Socioeconomic Drivers of Food Waste Over Time: A Comparative Evaluation of Panel Stochastic Frontier Models for Indirect Quantification in Chinese Households," 2024 Annual Meeting, July 28-30, New Orleans, LA 343852, Agricultural and Applied Economics Association.
    13. Kwan, Simon H., 2006. "The X-efficiency of commercial banks in Hong Kong," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1127-1147, April.
    14. repec:lan:wpaper:4471 is not listed on IDEAS
    15. Veeneman, Wijnand & Wilschut, Janneke & Urlings, Thijs & Blank, Jos & van de Velde, Didier, 2014. "Efficient frontier analysis of Dutch public transport tendering: A first analysis," Research in Transportation Economics, Elsevier, vol. 48(C), pages 101-108.
    16. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    17. Joseph P. Hughes & Loretta J. Mester & Choon-Geol Moon, 2017. "Measuring agency costs and the value of investment opportunities of US bank holding companies with stochastic frontier estimation," Chapters, in: Jacob A. Bikker & Laura Spierdijk (ed.), Handbook of Competition in Banking and Finance, chapter 11, pages 205-229, Edward Elgar Publishing.
    18. Jose Manuel Cordero & Cristina Polo & Javier Salinas-Jiménez, 2021. "Subjective Well-Being and Heterogeneous Contexts: A Cross-National Study Using Semi-Nonparametric Frontier Methods," Journal of Happiness Studies, Springer, vol. 22(2), pages 867-886, February.
    19. Abiodun Adegboye & Olawale Daniel Akinyele, 2022. "Assessing the determinants of government spending efficiency in Africa," Future Business Journal, Springer, vol. 8(1), pages 1-17, December.
    20. Kumbhakar, Subal & Orea, Luis & Rodríguez-Álvarez, Ana & Tsionas, Efthymos, 2003. "Estimating a Mixture of Efficiency Indices," Efficiency Series Papers 2003/08, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    21. Hasan, Iftekhar & Malkamaki, Markku & Schmiedel, Heiko, 2003. "Technology, automation, and productivity of stock exchanges: International evidence," Journal of Banking & Finance, Elsevier, vol. 27(9), pages 1743-1773, September.

    More about this item

    Keywords

    Crop Production/Industries;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aerrae:47433. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aeraiea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.