[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i7p1007-d1422785.html
   My bibliography  Save this article

Technical Efficiency and Allocative Efficiency of Beef Cattle Fattening in the Content of Digital Economy: An Empirical Study Based on Survey in China

Author

Listed:
  • Yongjie Xue

    (School of Economics, Shandong Women’s University, Ji’nan 250300, China)

  • Zhenhua Qi

    (School of Economics, Shandong Women’s University, Ji’nan 250300, China)

  • Jinling Yan

    (College of Economics and Management, Hebei Agricultural University, Baoding 071000, China)

  • Dahai Li

    (Marine Development Studies Institute, Ocean University of China, Qingdao 266100, China)

  • Huifeng Zhao

    (College of Economics and Management, Hebei Agricultural University, Baoding 071000, China)

  • Haijing Zheng

    (School of Humanities and Law, Zhejiang A&F University, Hangzhou 311300, China)

Abstract
This study applies data envelopment analysis (DEA) to gauge technical efficiency and allocative efficiency in China’s beef cattle-fattening industry using survey data. The Tobit model considers the salient determinants that drive these efficiencies. The results indicate that (1) large-scale farms exhibit robust TE and pure technical efficiencies (PTE), whereas scale efficiencies (SE) diverge significantly between large and medium-sized operations. The cost efficiency (CE) of smaller farms lags behind their larger counterparts, with the latter displaying greater revenue efficiencies (RE) and profit efficiency (PE). (2) The influence of identical factors on the efficiency of beef cattle fattening production can vary, sometimes antithetically, across different scales. Local policy interventions must be differentiated according to farm type and size. (3) The unique context of China’s national conditions and the status quo of livestock farming render the dual implementation of environmental regulations and technological subsidies less viable for Chinese beef cattle farms. These entities should prioritize production over technological innovation and advancement. Policymakers should adopt strategies such as targeted skill/technological training for farm managers at particular scales of operation. This could represent a critical trajectory to augment the efficiency of beef cattle production and increase beef yield in China.

Suggested Citation

  • Yongjie Xue & Zhenhua Qi & Jinling Yan & Dahai Li & Huifeng Zhao & Haijing Zheng, 2024. "Technical Efficiency and Allocative Efficiency of Beef Cattle Fattening in the Content of Digital Economy: An Empirical Study Based on Survey in China," Agriculture, MDPI, vol. 14(7), pages 1-24, June.
  • Handle: RePEc:gam:jagris:v:14:y:2024:i:7:p:1007-:d:1422785
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/7/1007/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/14/7/1007/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Maristela M. Martins & Humberto F. S. Spolador & Eric Njuki, 2022. "Production environment and managerial techniques in explaining productivity growth in Brazilian beef cattle production," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 371-385, April.
    3. 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.
    4. Johnson, Andrew L. & Kuosmanen, Timo, 2012. "One-stage and two-stage DEA estimation of the effects of contextual variables," European Journal of Operational Research, Elsevier, vol. 220(2), pages 559-570.
    5. 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, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Silvia Saravia-Matus & T. S. Amjath-Babu & Sreejith Aravindakshan & Stefan Sieber & Jimmy A. Saravia & Sergio Gomez y Paloma, 2021. "Can Enhancing Efficiency Promote the Economic Viability of Smallholder Farmers? A Case of Sierra Leone," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    2. Ajayi, V. & Pollitt, M., 2022. "Changing times: Incentive regulation, corporate reorganisations, and productivity in the Great Britain’s gas networks," Cambridge Working Papers in Economics 2254, Faculty of Economics, University of Cambridge.
    3. Helvoigt, Ted L. & Adams, Darius M., 2009. "A stochastic frontier analysis of technical progress, efficiency change and productivity growth in the Pacific Northwest sawmill industry," Forest Policy and Economics, Elsevier, vol. 11(4), pages 280-287, July.
    4. Madhav Regmi & Allen M. Featherstone & Cortney A. Cowley & Mykel R. Taylor, 2021. "Big Banks versus Agricultural Banks: Has Too‐Big‐To‐Fail Regulation Affected Efficiency and Scale Economies Measures?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1164-1178, May.
    5. Ajayi, Victor & Anaya, Karim & Pollitt, Michael, 2022. "Incentive regulation, productivity growth and environmental effects: the case of electricity networks in Great Britain," Energy Economics, Elsevier, vol. 115(C).
    6. Simar, Léopold & Zelenyuk, Valentin & Zhao, Shirong, 2024. "Inference for aggregate efficiency: Theory and guidelines for practitioners," European Journal of Operational Research, Elsevier, vol. 316(1), pages 240-254.
    7. Gianluca Gucciardi, 2022. "Measuring the relative development and integration of EU countries’ capital markets using composite indicators and cluster analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(4), pages 1043-1083, November.
    8. Maria Teresa Balaguer‐Coll & Isabel Narbón‐Perpiñá & Jesús Peiró‐Palomino & Emili Tortosa‐Ausina, 2022. "Quality of government and economic growth at the municipal level: Evidence from Spain," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 96-124, January.
    9. Jeremiah Kau Makokoane, 2020. "Evaluating Productivity and Efficiency Contradictions of Metrorail South Africa," International Journal of Management Science and Business Administration, Inovatus Services Ltd., vol. 6(3), pages 7-19, March.
    10. Surya Bhushan, 2021. "Labour Productivity Dynamics in Indian Agriculture: 2000–2016," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 64(2), pages 371-388, June.
    11. Cao, Ting & Cook, Wade D. & Kristal, M. Murat, 2022. "Has the technological investment been worth it? Assessing the aggregate efficiency of non-homogeneous bank holding companies in the digital age," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    12. Pompei, Fabrizio, 2013. "Efficiency And Productivity Growth Across The Italian Regions: The Regional Divide Revisited," MPRA Paper 52052, University Library of Munich, Germany.
    13. Maher Abdellatif & Yuantao Xie & Rady Hussein & Doaa Hasaballa, 2024. "Determinants of Productivity of Conventional and Takaful Non-Life Insurers in Egypt: A Two-Stage Malmquist Productivity Index," International Journal of Science and Business, IJSAB International, vol. 42(1), pages 121-137.
    14. Afsharian, Mohsen & Kamali, Sara & Ahn, Heinz & Bogetoft, Peter, 2024. "Individualized second stage corrections in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 317(2), pages 563-577.
    15. Silva, Haroldo José Torres da & Marques, Pedro Valentim, 2021. "Heterogeneity in the productivity of sugar-energy mills in Brazil," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(3), February.
    16. Rehman, Naqeeb Ur & Nunziante, Giulia, 2023. "The effect of the digital economy on total factor productivity in European regions," Telecommunications Policy, Elsevier, vol. 47(10).
    17. Molinos-Senante, Maria & Maziotis, Alexandros, 2022. "Evaluation of energy efficiency of wastewater treatment plants: The influence of the technology and aging factors," Applied Energy, Elsevier, vol. 310(C).
    18. Valentin Zelenyuk, 2023. "Productivity analysis: roots, foundations, trends and perspectives," Journal of Productivity Analysis, Springer, vol. 60(3), pages 229-247, December.
    19. Fernandes, Vicente Aprigliano & Pacheco, Ricardo Rodrigues & Fernandes, Elton, 2022. "A dynamic analysis of air transport and tourism in Brazil," Journal of Air Transport Management, Elsevier, vol. 105(C).
    20. Franz Haider & Robert Kunst & Franz Wirl, 2021. "Total factor productivity, its components and drivers," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(2), pages 283-327, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:14:y:2024:i:7:p:1007-:d:1422785. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.