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Enhancing Dairy Farm Welfare: A Holistic Examination of Technology Adoption and Economic Performance in Kahramanmaraş Province, Turkey

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  • Melih Erdem

    (Faculty of Agriculture, Department of Agricultural Economics, Selçuk University, Konya 42000, Türkiye)

  • Hasan Burak Ağır

    (Faculty of Agriculture, Department of Agricultural Economics, Kahramanmaraş Sütçü İmam University, Kahramanmaraş 46000, Türkiye)

Abstract

Technology and innovations have significant potential to enhance farm productivity, profitability, and economic sustainability. This study comprehensively investigates the relationship between technology adoption and economic performance within dairy farming. First, it seeks to clarify how socio-economic, information-seeking, behavioral factors and technical efficiency influence the level of technology adoption in dairy farms. It also compares the economic indicators of dairy farms depending on their technology adoption levels and evaluates whether technology adoption affects dairy farms’ technical, allocative, and economic efficiency. The data were collected from 188 dairy farmers in Kahramanmaraş Province in the East Mediterranean Region of Turkey in 2022. The results reveal that dairy farms’ technology adoption levels are influenced by income, household size, investment, ownership of cultured cattle breeds, Chamber of Agriculture membership, contact frequency with private veterinarians and other farmers, perceived ease of use, perceived usefulness, and technical efficiency. Farms with high-level technology adoption demonstrate increased profitability and efficiency scores, highlighting the positive correlation between technology adoption and farm efficiency. Policymakers should focus on training and support programs for dairy farmers to optimize technology use and input management. They can also promote resource-efficient farming and provide financial incentives for sustainable practices and dairy technologies.

Suggested Citation

  • Melih Erdem & Hasan Burak Ağır, 2024. "Enhancing Dairy Farm Welfare: A Holistic Examination of Technology Adoption and Economic Performance in Kahramanmaraş Province, Turkey," Sustainability, MDPI, vol. 16(7), pages 1-22, April.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:2989-:d:1369697
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    References listed on IDEAS

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    1. R. Karina Gallardo & Johannes Sauer, 2018. "Adoption of Labor-Saving Technologies in Agriculture," Annual Review of Resource Economics, Annual Reviews, vol. 10(1), pages 185-206, October.
    2. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    3. Shabir Ahmad Mir & T. Padma, 2020. "Integrated Technology Acceptance Model for the Evaluation of Agricultural Decision Support Systems," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 23(2), pages 138-164, April.
    4. Osman Doğan Bulut & Süleyman Karaman & Zeynep Çelik Kaysim & Ayşe Karadağ Gürsoy, 2023. "Factors Affecting Landowners’ Willingness to Sustain Hiring Foreign Farmworkers: The Case of Banana Producers in Mersin Province, Turkey," Sustainability, MDPI, vol. 15(17), pages 1-16, August.
    5. Jiang, Nan & Sharp, Basil, 2014. "Cost Efficiency of Dairy Farming in New Zealand: A Stochastic Frontier Analysis," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 0, pages 1-13.
    6. Hisham S. El-Osta & Mitchell J. Morehart, 2000. "Technology Adoption and Its Impact on Production Performance of Dairy Operations," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 22(2), pages 477-498.
    7. Richard Williams, 2012. "Using the margins command to estimate and interpret adjusted predictions and marginal effects," Stata Journal, StataCorp LP, vol. 12(2), pages 308-331, June.
    8. João Augusto Rossi Borges & Alfons G.J.M. Oude Lansink & Grigorios Emvalomatis, 2019. "Adoption of innovation in agriculture: a critical review of economic and psychological models," International Journal of Innovation and Sustainable Development, Inderscience Enterprises Ltd, vol. 13(1), pages 36-56.
    9. Tom Kompas & Tuong Nhu Che, 2006. "Technology choice and efficiency on Australian dairy farms," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(1), pages 65-83, March.
    10. Flett, Ross & Alpass, Fiona & Humphries, Steve & Massey, Claire & Morriss, Stuart & Long, Nigel, 2004. "The technology acceptance model and use of technology in New Zealand dairy farming," Agricultural Systems, Elsevier, vol. 80(2), pages 199-211, May.
    11. 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.
    12. Silva Emiliana & Almeida Bruno & Marta-Costa Ana Alexandra, 2018. "Efficiency of the Dairy Farms: A Study from Azores (Portugal)," European Countryside, Sciendo, vol. 10(4), pages 725-734, December.
    13. Fraser, I. & Cordina, D., 1999. "An application of data envelopment analysis to irrigated dairy farms in Northern Victoria, Australia," Agricultural Systems, Elsevier, vol. 59(3), pages 267-282, March.
    14. 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, June.
    15. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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