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Integrated vs. Specialized Farming Systems for Sustainable Food Production: Comparative Analysis of Systems’ Technical Efficiency in Nebraska

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  • Maroua Afi

    (Department of Agricultural Economics, Institute of Agriculture and Natural Resources, University of Nebraska-Lincoln, Lincoln, NE 68588, USA)

  • Jay Parsons

    (Department of Agricultural Economics, Institute of Agriculture and Natural Resources, University of Nebraska-Lincoln, Lincoln, NE 68588, USA)

Abstract

Complementarities between crops and livestock production have the potential to increase input use efficiency and maintain a diversified livelihood. This paper uses non-parametric data envelopment analysis (DEA) to assess the technical efficiency (TE) of integrated crop–livestock systems (ICLS) compared to specialized cropping and specialized livestock systems in the state of Nebraska, in the central United States. We classify each county of Nebraska into one of three systems according to their dominant agricultural production revenues. We use DEA to measure the TE of each county compared, first, to a group production frontier (in-system comparison) and second, to a metafrontier (cross-system comparison). Thirty percent of the cropping systems counties were evaluated as fully efficient in the in-system comparison with other cropping systems counties. Thirty-six percent of the livestock systems counties and 18% of the ICLS counties were evaluated as fully efficient in their in-system comparisons. The ICLS counties are less likely to appear on the metafrontier, with a total of only 7% compared to 39% and 32% for the specialized cropping and specialized livestock systems, respectively. These results highlight the need for further research on optimal crop–livestock integration that allows for the realization of synergies and complementarities needed for higher efficiency and sustainable intensification of food production.

Suggested Citation

  • Maroua Afi & Jay Parsons, 2023. "Integrated vs. Specialized Farming Systems for Sustainable Food Production: Comparative Analysis of Systems’ Technical Efficiency in Nebraska," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5413-:d:1101012
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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, December.
    2. Cumming, Kaitlyn & Parsons, Jay & Schacht, Walter H. & Baskerville, Brian, 2019. "Examining the Capacity of Nebraska Rangelands for Cattle," Cornhusker Economics 307090, University of Nebraska-Lincoln, Department of Agricultural Economics.
    3. Yujiro Hayami, 1969. "Sources of Agricultural Productivity Gap Among Selected Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(3), pages 564-575.
    4. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, February.
    5. Tin H. Ho & Dat T. Nguyen & Thanh Ngo & Tu D. Q. Le, 2021. "Efficiency in Vietnamese Banking: A Meta-Regression Analysis Approach," IJFS, MDPI, vol. 9(3), pages 1-15, August.
    6. A. Gelan & B.W. Muriithi, 2012. "Measuring and explaining technical efficiency of dairy farms: a case study of smallholder farms in East Africa," Agrekon, Taylor & Francis Journals, vol. 51(2), pages 53-74.
    7. Mutz, Rüdiger & Bornmann, Lutz & Daniel, Hans-Dieter, 2017. "Are there any frontiers of research performance? Efficiency measurement of funded research projects with the Bayesian stochastic frontier analysis for count data," Journal of Informetrics, Elsevier, vol. 11(3), pages 613-628.
    8. 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.
    9. Rachael D. Garrett & Meredith Niles & Juliana Gil & Philip Dy & Julio Reis & Judson Valentim, 2017. "Policies for Reintegrating Crop and Livestock Systems: A Comparative Analysis," Sustainability, MDPI, vol. 9(3), pages 1-22, March.
    10. Michalickova, Monika & Krupova, Zuzana & Krupa, Emil, 2013. "Technical Efficiency and its Determinants in Dairy Cattle," Acta Oeconomica et Informatica, Faculty of Economics and Management, Slovak Agricultural University in Nitra (FEM SPU), vol. 16(1), pages 1-10, February.
    11. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    12. Cumming, Katie & Parsons, Jay & Schacht, Walter & Baskerville, Brian, 2019. "Examining the capacity of Nebraska rangelands for cattle production," Western Economics Forum, Western Agricultural Economics Association, vol. 17(1), April.
    13. 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.
    14. McMclure, Glennis & Lubben, Bradley, 2018. "Livestock Production Value and Economic Impact for Nebraska Counties," Cornhusker Economics 307050, University of Nebraska-Lincoln, Department of Agricultural Economics.
    15. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    16. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    17. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
    18. Fare, Rolf & Grosskopf, Shawna & Kokkelenberg, Edward C, 1989. "Measuring Plant Capacity, Utilization and Technical Change: A Nonparametric Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(3), pages 655-666, August.
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