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Energy Efficiency Outlook of New Zealand Dairy Farming Systems: An Application of Data Envelopment Analysis (DEA) Approach

Author

Listed:
  • Hafiz Muhammad Abrar Ilyas

    (Department of Land Management and Systems, Lincoln University, Lincoln 7647, New Zealand)

  • Majeed Safa

    (Department of Land Management and Systems, Lincoln University, Lincoln 7647, New Zealand)

  • Alison Bailey

    (Department of Land Management and Systems, Lincoln University, Lincoln 7647, New Zealand)

  • Sara Rauf

    (Department of Land Management and Systems, Lincoln University, Lincoln 7647, New Zealand)

  • Azeem Khan

    (Applied Agricultural Remote Sensing Center, University of New England, Armidale 2350, NSW, Australia)

Abstract

This study evaluates energy efficiency of pastoral (PDFs) and barn (BDFs) dairy farming systems in New Zealand through application of data envelopment analysis (DEA) approach. Two models constant return to scale (CCR) and variable return to scale (BCC) of DEA were employed for determining the technical (TE), pure technical (PTE) and scale (SE) efficiencies of New Zealand pastoral and barn dairy systems. Further, benchmarking was also performed to separate efficient and inefficient dairy farms and energy saving potential was identified for both dairy systems based upon their optimal energy consumption. For this study, the energy inputs data were taken from 50 dairy farms (including PDFs and BDFs) across Canterbury, New Zealand. The results indicated that the average technical, pure technical and scale efficiencies of pastoral (PDFs) dairy systems were 0.84, 0.90, 0.93 and for barn (BDFs) systems were 0.78, 0.84, 0.92, respectively, showing that energy efficiency is slightly better in PDFs system than the BDFs. From the total number of dairy farms 40% and 48% were efficient based on the constant return to scale and variable return to scale models, respectively. Further, the energy saving potential for PDFs and BDFs dairy systems through optimal energy consumption were identified as 23% and 35%, respectively. Thus, energy auditing, use of renewable energy and precision agricultural technology were recommended for energy efficiency improvement in both dairy systems.

Suggested Citation

  • Hafiz Muhammad Abrar Ilyas & Majeed Safa & Alison Bailey & Sara Rauf & Azeem Khan, 2020. "Energy Efficiency Outlook of New Zealand Dairy Farming Systems: An Application of Data Envelopment Analysis (DEA) Approach," Energies, MDPI, vol. 13(1), pages 1-14, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:1:p:251-:d:305042
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    1. Nassiri, Seyed Mehdi & Singh, Surendra, 2009. "Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique," Applied Energy, Elsevier, vol. 86(7-8), pages 1320-1325, July.
    2. Joe Zhu, 2014. "Quantitative Models for Performance Evaluation and Benchmarking," International Series in Operations Research and Management Science, Springer, edition 3, number 978-3-319-06647-9, April.
    3. Lidia Angulo-Meza & Marcos Lins, 2002. "Review of Methods for Increasing Discrimination in Data Envelopment Analysis," Annals of Operations Research, Springer, vol. 116(1), pages 225-242, October.
    4. Nabavi-Pelesaraei, Ashkan & Hosseinzadeh-Bandbafha, Homa & Qasemi-Kordkheili, Peyman & Kouchaki-Penchah, Hamed & Riahi-Dorcheh, Farshid, 2016. "Applying optimization techniques to improve of energy efficiency and GHG (greenhouse gas) emissions of wheat production," Energy, Elsevier, vol. 103(C), pages 672-678.
    5. 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.
    6. Hafiz Muhammad Abrar Ilyas & Majeed Safa & Alison Bailey & Sara Rauf & Marvin Pangborn, 2019. "The Carbon Footprint of Energy Consumption in Pastoral and Barn Dairy Farming Systems: A Case Study from Canterbury, New Zealand," Sustainability, MDPI, vol. 11(17), pages 1-15, September.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Hosseinzadeh-Bandbafha, Homa & Safarzadeh, Dariush & Ahmadi, Ebrahim & Nabavi-Pelesaraei, Ashkan & Hosseinzadeh-Bandbafha, Ehssan, 2017. "Applying data envelopment analysis to evaluation of energy efficiency and decreasing of greenhouse gas emissions of fattening farms," Energy, Elsevier, vol. 120(C), pages 652-662.
    9. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    10. Jiang, Nan & Sharp, Basil, 2014. "Cost Efficiency of Dairy Farming in New Zealand: A Stochastic Frontier Analysis," Agricultural and Resource Economics Review, Cambridge University Press, vol. 43(3), pages 406-418, December.
    11. Giuseppe Todde & Lelia Murgia & Maria Caria & Antonio Pazzona, 2018. "A Comprehensive Energy Analysis and Related Carbon Footprint of Dairy Farms, Part 2: Investigation and Modeling of Indirect Energy Requirements," Energies, MDPI, vol. 11(2), pages 1-13, February.
    12. Liang, Qiao-Mei & Fan, Ying & Wei, Yi-Ming, 2007. "Multi-regional input-output model for regional energy requirements and CO2 emissions in China," Energy Policy, Elsevier, vol. 35(3), pages 1685-1700, March.
    13. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
    14. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    15. Jaforullah, Mohammad & Whiteman, John, 1999. "Scale efficiency in the New Zealand dairy industry: a non-parametric approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 43(4), pages 1-19, December.
    16. Allen, R. & Thanassoulis, E., 2004. "Improving envelopment in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 363-379, April.
    17. Jekayinfa, S.O. & Bamgboye, A.I., 2008. "Energy use analysis of selected palm-kernel oil mills in south western Nigeria," Energy, Elsevier, vol. 33(1), pages 81-90.
    18. Uhlin, Hans-Erik, 1998. "Why energy productivity is increasing: An I-O analysis of Swedish agriculture," Agricultural Systems, Elsevier, vol. 56(4), pages 443-465, April.
    19. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    20. L. Martin Cloutier & Robin Rowley, 1993. "Relative Technical Efficiency: Data Envelopment Analysis and Quebec's Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 41(2), pages 169-176, July.
    21. Igbekele Ajibefun & Adebiyi Daramola & Abiodun Falusi, 2006. "Technical efficiency of small scale farmers: An application of the stochastic frontier production function to rural and urban farmers in Ondo State, Nigeria," International Economic Journal, Taylor & Francis Journals, vol. 20(1), pages 87-107.
    22. Mohammadi, Ali & Rafiee, Shahin & Jafari, Ali & Keyhani, Alireza & Mousavi-Avval, Seyed Hashem & Nonhebel, Sanderine, 2014. "Energy use efficiency and greenhouse gas emissions of farming systems in north Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 724-733.
    23. Alzamora, Rosa M. & Apiolaza, Luis A., 2013. "A DEA approach to assess the efficiency of radiata pine logs to produce New Zealand structural grades," Journal of Forest Economics, Elsevier, vol. 19(3), pages 221-233.
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