IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v45y2015icp745-754.html
   My bibliography  Save this article

Whether crop diversification is energy efficient: An empirical analysis from Bangladesh

Author

Listed:
  • Rahman, Sanzidur
  • Kazal, Mohammad Mizanul Haque

Abstract

This study examines whether crop diversification provides economy in energy use and improves technical energy efficiency using a large survey data of 2075 farms from 20 sub-districts of 17 districts in Bangladesh by applying a stochastic input-distance function approach. The results reveal that cereal production significantly increases energy use by 0.14% for every one percent increase’ in output. Renewable source of energy constitutes 59.6% of total inputs and labour energy alone constitutes 39%. Significant output complementarity exists between cereal and oilseed enterprises but competition exist between jute with pulse and/or oilseed enterprises. The mean technical energy efficiency is estimated at 68% implying that energy output can be increased by 32% by eliminating inefficiency. Diversification amongst enterprises is associated with energy inefficiency, implying that specialization into cereals improves efficiency. Large farms are inefficient whereas large family size improves efficiency. The key policy implication is that diversification of crop enterprises must maintain cereal (i.e., rice/wheat/maize) as the main base and then add non-cereal crops (e.g., oilseeds) in order to improve energy economy. Also, diversification within cereals from rice monoculture to wheat and/or maize will significantly improve technical energy efficiency.

Suggested Citation

  • Rahman, Sanzidur & Kazal, Mohammad Mizanul Haque, 2015. "Whether crop diversification is energy efficient: An empirical analysis from Bangladesh," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 745-754.
  • Handle: RePEc:eee:rensus:v:45:y:2015:i:c:p:745-754
    DOI: 10.1016/j.rser.2015.02.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032115001070
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kar, Gouranga & Singh, Ravender & Verma, H. N., 2004. "Alternative cropping strategies for assured and efficient crop production in upland rainfed rice areas of eastern India based on rainfall analysis," Agricultural Water Management, Elsevier, vol. 67(1), pages 47-62, June.
    2. Catherine J. Morrison Paul & Warren E. Johnston & Gerald A. G. Frengley, 2000. "Efficiency in New Zealand Sheep and Beef Farming: The Impacts of Regulatory Reform," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 325-337, May.
    3. Sanzidur Rahman, 2010. "Women’s Labour Contribution to Productivity and Efficiency in Agriculture: Empirical Evidence From Bangladesh," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 318-342, June.
    4. Xavier Irz & Colin Thirtle, 2004. "Dual Technological Development in Botswana Agriculture: A Stochastic Input Distance Function Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(3), pages 455-478, November.
    5. Rahman, Sanzidur & Hasan, M. Kamrul, 2014. "Energy productivity and efficiency of wheat farming in Bangladesh," Energy, Elsevier, vol. 66(C), pages 107-114.
    6. Guvele, C. A., 2001. "Gains from crop diversification in the Sudan Gezira scheme," Agricultural Systems, Elsevier, vol. 70(1), pages 319-333, October.
    7. Coelli, Tim & Fleming, Euan, 2004. "Diversification economies and specialisation efficiencies in a mixed food and coffee smallholder farming system in Papua New Guinea," Agricultural Economics, Blackwell, vol. 31(2-3), pages 229-239, December.
    8. Mani, Indra & Kumar, Pradeep & Panwar, J.S. & Kant, Kamal, 2007. "Variation in energy consumption in production of wheat–maize with varying altitudes in hilly regions of Himachal Pradesh, India," Energy, Elsevier, vol. 32(12), pages 2336-2339.
    9. Rahman, Sanzidur & Rahman, Md. Sayedur, 2013. "Energy productivity and efficiency of maize accounting for the choice of growing season and environmental factors: An empirical analysis from Bangladesh," Energy, Elsevier, vol. 49(C), pages 329-336.
    10. Rahman, Sanzidur & Barmon, Basanta K., 2012. "Energy productivity and efficiency of the ‘gher’ (prawn-fish-rice) farming system in Bangladesh," Energy, Elsevier, vol. 43(1), pages 293-300.
    11. M. N. Asadullah & S. Rahman, 2009. "Farm productivity and efficiency in rural Bangladesh: the role of education revisited," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 17-33.
    12. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    13. Llewelyn, Richard V. & Williams, Jeffery R., 1996. "Nonparametric analysis of technical, pure technical, and scale efficiencies for food crop production in East Java, Indonesia," Agricultural Economics, Blackwell, vol. 15(2), pages 113-126, November.
    14. Rahman, Sanzidur, 2009. "Whether crop diversification is a desired strategy for agricultural growth in Bangladesh?," Food Policy, Elsevier, vol. 34(4), pages 340-349, August.
    15. Subal Kumbhakar & Luis Orea & Ana Rodríguez-Álvarez & Efthymios Tsionas, 2007. "Do we estimate an input or an output distance function? An application of the mixture approach to European railways," Journal of Productivity Analysis, Springer, vol. 27(2), pages 87-100, April.
    16. Paul, Catherine J. Morrison & Nehring, Richard, 2005. "Product diversification, production systems, and economic performance in U.S. agricultural production," Journal of Econometrics, Elsevier, vol. 126(2), pages 525-548, June.
    17. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    18. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    19. Van den Berg, M. Marrit & Hengsdijk, Huib & Wolf, Joost & Van Ittersum, Martin K. & Guanghuo, Wang & Roetter, Reimund P., 2007. "The impact of increasing farm size and mechanization on rural income and rice production in Zhejiang province, China," Agricultural Systems, Elsevier, vol. 94(3), pages 841-850, June.
    20. Rahman, Sanzidur & Rahman, Md. Sayedur, 2014. "Exploring the potential and performance of maize production in Bangladesh," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 3(2), pages 1-9, January.
    21. Jema Haji, 2007. "Production Efficiency of Smallholders' Vegetable-dominated Mixed Farming System in Eastern Ethiopia: A Non-Parametric Approach," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 16(1), pages 1-27, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sanzidur Rahman & Basanta Kumar Barmon, 2018. "Total Factor Energy Productivity and Efficiency Changes of the Gher (Prawn-Carp-Rice) Farming System in Bangladesh: A Stochastic Input Distance Function Approach," Energies, MDPI, Open Access Journal, vol. 11(12), pages 1-17, December.

    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:eee:rensus:v:45:y:2015:i:c:p:745-754. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.