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Reconciling the micro‐ and macro‐perspective in agricultural energy efficiency analysis for sustainable development

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  • Vida Dabkienė
  • Tomas Baležentis
  • Dalia Štreimikienė

Abstract

Efficient use of energy resources is the key element ensuring the development of the agricultural sector in a sustainable way. The reduction of energy use in Lithuania's agriculture is considered in strategic documents, and the energy efficiency is seen as crucial element of development for ensuring climate neutrality and eventually reaching climate‐smart agriculture. At the same time, the energy use is supported in terms of excise duty relief for fuel used in agricultural activities. Setting reasonable policy targets requires an integrated approach towards energy efficiency. The aim of the paper is to investigate the energy intensity and efficiency in Lithuanian farms across different farming types and to perform the energy intensity in the European Union (EU) context. Four energy intensity indicators were chosen, and based on these indicators, the energy performance score is constructed using the simple additive weighting method. The data envelopment analysis is applied to identify the policy targets for improving energy efficiency at different levels. Lithuanian farm accountancy data (FADN) of family farms and the standard results of the EU FADN were used in the research for the period of 2004–2019 and 2004–2018, respectively. The analysis revealed that the managerial efficiency levels are lower technological gaps in farms indicating on‐farm innovations being a major issue to improve energy efficiency. The results showed that energy costs can be reduced by some 49%, 48%, 37%, 30% and 20% in Lithuanian cereals, oilseeds and protein crops (COP), milk, field crops, cattle and orchards‐fruit farms, respectively.

Suggested Citation

  • Vida Dabkienė & Tomas Baležentis & Dalia Štreimikienė, 2022. "Reconciling the micro‐ and macro‐perspective in agricultural energy efficiency analysis for sustainable development," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 149-164, February.
    • Handle: RePEc:wly:sustdv:v:30:y:2022:i:1:p:149-164
    DOI: 10.1002/sd.2235
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    References listed on IDEAS

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    1. Kaab, Ali & Sharifi, Mohammad & Mobli, Hossein & Nabavi-Pelesaraei, Ashkan & Chau, Kwok-wing, 2019. "Use of optimization techniques for energy use efficiency and environmental life cycle assessment modification in sugarcane production," Energy, Elsevier, vol. 181(C), pages 1298-1320.
    2. Swetlana Renner & Johannes Sauer & Nadja El Benni, 2021. "Why considering technological heterogeneity is important for evaluating farm performance?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(2), pages 415-445.
    3. Vlontzos, George & Niavis, Spyros & Manos, Basil, 2014. "A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 91-96.
    4. Tian, Dong & Zhang, Min & Xiong, Chuqiao & Mu, Weisong & Feng, Jianying, 2019. "Measuring the energy consumption and energy efficiency in two-harvest-a-year grape cultivation," Energy, Elsevier, vol. 189(C).
    5. Mohamed Ghali & Laure Latruffe & Karine Daniel, 2016. "Efficient Use of Energy Resources on French Farms: An Analysis through Technical Efficiency," Energies, MDPI, vol. 9(8), pages 1-15, July.
    6. Šarauskis, Egidijus & Romaneckas, Kęstutis & Jasinskas, Algirdas & Kimbirauskienė, Rasa & Naujokienė, Vilma, 2020. "Improving energy efficiency and environmental mitigation through tillage management in faba bean production," Energy, Elsevier, vol. 209(C).
    7. Danish & Recep Ulucak & Salah‐Ud‐Din Khan, 2020. "Relationship between energy intensity and CO2 emissions: Does economic policy matter?," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1457-1464, September.
    8. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
    9. Vlontzos, G. & Pardalos, P.M., 2017. "Assess and prognosticate green house gas emissions from agricultural production of EU countries, by implementing, DEA Window analysis and artificial neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 155-162.
    10. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    11. Kiyotaka Masuda, 2018. "Energy Efficiency of Intensive Rice Production in Japan: An Application of Data Envelopment Analysis," Sustainability, MDPI, vol. 10(1), pages 1-11, January.
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