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Assessment of total factor productivity and methane efficiency of beef cattle producers worldwide

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  • Chung, Rebecca H.
  • Hadi, Sholih Nugroho

Abstract

To align with SDG 12, emphasizing responsible consumption and production, it has become imperative for the global beef cattle industry to engage in sustainable production. One of the substantial challenges for future beef production is the increasing competition for resources between animal feed and human food. Moreover, there is a pressing need to address the impact of climate change, given that beef cattle production is a major contributor to methane gas emissions.

Suggested Citation

  • Chung, Rebecca H. & Hadi, Sholih Nugroho, 2025. "Assessment of total factor productivity and methane efficiency of beef cattle producers worldwide," Agricultural Systems, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:agisys:v:226:y:2025:i:c:s0308521x25000745
    DOI: 10.1016/j.agsy.2025.104334
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    1. Fagerberg, Jan, 2000. "Technological progress, structural change and productivity growth: a comparative study," Structural Change and Economic Dynamics, Elsevier, vol. 11(4), pages 393-411, December.
    2. Sholih Nugroho Hadi & Rebecca H. Chung, 2022. "Estimation of Demand for Beef Imports in Indonesia: An Autoregressive Distributed Lag (ARDL) Approach," Agriculture, MDPI, vol. 12(8), pages 1-12, August.
    3. David Popp, 2011. "International Technology Transfer, Climate Change, and the Clean Development Mechanism," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(1), pages 131-152, Winter.
    4. Truc Linh Le & Pai-Po Lee & Ke Chung Peng & Rebecca H. Chung, 2019. "Evaluation of total factor productivity and environmental efficiency of agriculture in nine East Asian countries," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(6), pages 249-258.
    5. 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.
    6. Liang, Chao & Wang, Qi, 2023. "The relationship between total factor productivity and environmental quality: A sustainable future with innovation input," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    7. Raymond L. Desjardins & Devon E. Worth & Xavier P. C. Vergé & Dominique Maxime & Jim Dyer & Darrel Cerkowniak, 2012. "Carbon Footprint of Beef Cattle," Sustainability, MDPI, vol. 4(12), pages 1-23, December.
    8. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    9. Yongjie Xue & Jinling Yan & Yongfu Cui & Huifeng Zhao & Ya’nan Zhang & Changhai Ma & Haijing Zheng, 2022. "The Technical Efficiency of Beef Calf Production Systems: Evidence from a Survey in Hebei, China," Agriculture, MDPI, vol. 12(10), pages 1-22, October.
    10. Jinfeng Chang & Shushi Peng & Philippe Ciais & Marielle Saunois & Shree R. S. Dangal & Mario Herrero & Petr Havlík & Hanqin Tian & Philippe Bousquet, 2019. "Revisiting enteric methane emissions from domestic ruminants and their δ13CCH4 source signature," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
    11. Nin Pratt, Alejandro & Freiría, Heber & Muñoz, Gonzalo, 2019. "Productivity and Efficiency in Grassland-based Livestock Production in Latin America: The Cases of Uruguay and Paraguay," IDB Publications (Working Papers) 9868, Inter-American Development Bank.
    12. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    13. Xiaowei Song & Yongpei Hao & Xiaodong Zhu, 2015. "Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model," Sustainability, MDPI, vol. 7(7), pages 1-20, July.
    14. Thompson, Russell G. & Langemeier, Larry N. & Lee, Chih-Tah & Lee, Euntaik & Thrall, Robert M., 1990. "The role of multiplier bounds in efficiency analysis with application to Kansas farming," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 93-108.
    15. Eita Joel Hinaunye & Pedro Marcio Jose, 2021. "Modelling Total Factor Productivity in a Developing Economy," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 66(1), pages 75-96, April.
    16. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy, 2021. "The impact of artificial intelligence on labor productivity," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 1-25, March.
    17. Maria Martinez Cillero & Fiona Thorne, 2019. "Sources of productivity growth using the Färe-Primont decomposition. An empirical application to the Irish beef sector," Applied Economics, Taylor & Francis Journals, vol. 51(36), pages 3982-3994, August.
    18. Rob Gandy & Chris Mulhearn, 2021. "Allowing for unemployment in productivity measurement," SN Business & Economics, Springer, vol. 1(1), pages 1-38, January.
    19. G.E. Battese & G.A. Tessema, 1993. "Estimation of stochastic frontier production functions with time‐varying parameters and technical efficiencies using panel data from Indian villages," Agricultural Economics, International Association of Agricultural Economists, vol. 9(4), pages 313-333, December.
    20. Abmael da Silva Cardoso & Rondineli Pavezzi Barbero & Eliéder Prates Romanzini & Ronyatta Weich Teobaldo & Fernando Ongaratto & Marcia Helena Machado da Rocha Fernandes & Ana Cláudia Ruggieri & Ricard, 2020. "Intensification: A Key Strategy to Achieve Great Animal and Environmental Beef Cattle Production Sustainability in Brachiaria Grasslands," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    21. Robert Russell, R., 1985. "Measures of technical efficiency," Journal of Economic Theory, Elsevier, vol. 35(1), pages 109-126, February.
    22. Abed, Rodrigo & Acosta, Alejandro, 2018. "Assessing livestock total factor productivity: A Malmquist Index approach," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 13(4), December.
    23. 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, July.
    24. P. Veysset & M. Lherm & P. Natier & Jean-Philippe Boussemart, 2019. "Generation and distribution of productivity gains in beef cattle farming: Who are the winners and losers between 1980 and 2015?," Post-Print hal-02107423, HAL.
    25. Russell, R. Robert, 1985. "On the Axiomatic Approach to the Measurement of Technical Efficiency," Working Papers 85-33, C.V. Starr Center for Applied Economics, New York University.
    26. 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.
    27. Battese, G. E. & Tessema, G. A., 1993. "Estimation of stochastic frontier production functions with time-varying parameters and technical efficiencies using panel data from Indian villages," Agricultural Economics, Blackwell, vol. 9(4), pages 313-333, December.
    28. Roberto Roson, 2017. "Understanding the Global Dynamics of Sectoral Labor Productivity," Working Papers 2017:15, Department of Economics, University of Venice "Ca' Foscari".
    29. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    30. Oliver T. Coomes & Bradford L. Barham & Graham K. MacDonald & Navin Ramankutty & Jean-Paul Chavas, 2019. "Leveraging total factor productivity growth for sustainable and resilient farming," Nature Sustainability, Nature, vol. 2(1), pages 22-28, January.
    31. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633, Enero-Abr.
    32. George E. Batiese, 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics, International Association of Agricultural Economists, vol. 7(3-4), pages 185-208, October.
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