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Energy efficiency measurement in agriculture with imprecise energy content information


  • Blancard, Stephane
  • Martin, Elsa


Energy efficiency measurement is crucial when planning energy reduction policies. However, decision makers understandably will be reluctant to act in the absence of solid data and results supporting a policy position. The main objective of this paper is to propose an alternative method to measure farm energy efficiency. This method is based on the Data Envelopment Analysis (DEA) approach in a cost framework introduced by Farrell (1957) and developed by Färe et al. (1985). We decompose the energy efficiency measurement into two components, namely technical and allocative efficiencies. Here, input prices are replaced by their energy content. The energy efficiency model is used to explore the optimal input-mix that produces the current outputs at minimum energy-consumption. We show that this decomposition can help policy makers considerably to design accurate energy policies. The presence of uncertainty on data, and more particularly on energy content of inputs, leads us to recommend exploiting the methodologies proposed for calculating the bounds of efficiency measurement in order to produce more robust results. We expect to alert policy-makers in the fact that efficiency is not a fixed value and should be considered with caution. A 2007 database of French farms specialized in crops is used for empirical illustration.

Suggested Citation

  • Blancard, Stephane & Martin, Elsa, 2012. "Energy efficiency measurement in agriculture with imprecise energy content information," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 130583, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae12:130583

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    References listed on IDEAS

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    Cited by:

    1. Houshyar, Ehsan & Zareifard, Hamid Reza & Grundmann, Philipp & Smith, Pete, 2015. "Determining efficiency of energy input for silage corn production: An econometric approach," Energy, Elsevier, vol. 93(P2), pages 2166-2174.
    2. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    3. Mohamed Ghali & Laure Latruffe & Karine Daniel, 2016. "Efficient Use of Energy Resources on French Farms: An Analysis through Technical Efficiency," Energies, MDPI, Open Access Journal, vol. 9(8), pages 1-15, July.
    4. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein & Shamshirband, Shahaboddin & Hamid, Siti Hafizah Ab, 2015. "Developing a fuzzy clustering model for better energy use in farm management systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 27-34.
    5. Weibin Lin & Bin Chen & Lina Xie & Haoran Pan, 2015. "Estimating Energy Consumption of Transport Modes in China Using DEA," Sustainability, MDPI, Open Access Journal, vol. 7(4), pages 1-15, April.
    6. Wettemann, Patrick Johannes Christopher & Latacz-Lohmann, Uwe, 2017. "An efficiency-based concept to assess potential cost and greenhouse gas savings on German dairy farms," Agricultural Systems, Elsevier, vol. 152(C), pages 27-37.
    7. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.

    More about this item


    Crop-farming; Data Envelopment Analysis; energy efficiency; uncertainty; Research and Development/Tech Change/Emerging Technologies; Research Methods/ Statistical Methods; D24; O13; Q15; Q4;

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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