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Regional Differences In Technical Efficiency And Technological Gap Of Norwegian Dairy Farms: A Stochastic Metafrontier Model

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  • Alem, Habtamu
  • Lien, Gudbrand
  • Hardaker, J. Brian
  • Guttormsen, Atle

Abstract

This paper compares technical efficiencies (TEs) and technological gap ratios (TGRs) for dairy farms in the Norwegian regions accounting for differences in working environments. We used the 'true' random effect model of Greene (2005) and the stochastic metafrontier approach by Huang et al. (2014) to estimate TEs and TGRs. The dataset used was farm-level balanced panel data for 23 years (1992-2014) with 5442 observations from 731 dairy firms. The results of the analysis provide empirical evidence of small regional differences in technical efficiencies, technological gap ratios, and input use. Thus, an assumption about joint underlying technology across regions seems to be quite reasonable, since our results implies that the policies in place are working effectively to keep relatively disadvantaged producers in the business. Further, the results may provide some support for the more region-specific agricultural policies, in terms of support schemes and structural regulations.

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  • Alem, Habtamu & Lien, Gudbrand & Hardaker, J. Brian & Guttormsen, Atle, 2017. "Regional Differences In Technical Efficiency And Technological Gap Of Norwegian Dairy Farms: A Stochastic Metafrontier Model," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260906, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae17:260906
    DOI: 10.22004/ag.econ.260906
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    1. Md Nazirul Islam Sarker & Md Abdus Salam & R. B. Radin Firdaus, 2024. "Do female labor‐migrated households have lower productivity? Empirical evidence from rural rice farms in Bangladesh," Growth and Change, Wiley Blackwell, vol. 55(1), March.
    2. Chukwujekwu A. Obianefo & John N. Ng’ombe & Agness Mzyece & Blessing Masasi & Ngozi J. Obiekwe & Oluchi O. Anumudu, 2021. "Technical Efficiency and Technological Gaps of Rice Production in Anambra State, Nigeria," Agriculture, MDPI, vol. 11(12), pages 1-13, December.
    3. Tanko, Mohammed & Ismaila, Salifu, 2021. "How culture and religion influence the agriculture technology gap in Northern Ghana," World Development Perspectives, Elsevier, vol. 22(C).
    4. Missiame, Arnold & Irungu, Patrick & Nyikal, Rose Adhiambo, 2021. "Gender-differentiated stochastic meta-frontier analysis of production technology heterogeneity among smallholder cassava farmers in Ghana," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 16(2), June.
    5. Elizabeth Ahikiriza & Jef Meensel & Xavier Gellynck & Ludwig Lauwers, 2021. "Heterogeneity in frontier analysis: does it matter for benchmarking farms?," Journal of Productivity Analysis, Springer, vol. 56(2), pages 69-84, December.
    6. Xiaoheng Zhang & Wanglin Ma & Puneet Vatsa & Shijie Jiang, 2023. "Short supply chain, technical efficiency, and technological change: Insights from cucumber production," Agribusiness, John Wiley & Sons, Ltd., vol. 39(2), pages 371-386, March.
    7. Zdeňka Náglová & Tamara Rudinskaya, 2021. "Factors Influencing Technical Efficiency in the EU Dairy Farms," Agriculture, MDPI, vol. 11(11), pages 1-14, November.
    8. Dogba, Kollie B. & Kosura, Willis Oluoch & Chumo, Chepchumba, 2021. "Stochastic meta-frontier function analysis of the regional efficiency and technology gap ratios (TGRs) of small-scale cassava producers in Liberia," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 16(1), March.
    9. Nicola GALLUZZO, 2023. "An Analysis Of Crop Costs In Italian Nitrate Vulnerable Areas And Agri-Environmental Subsidies," Agricultural Economics and Rural Development, Institute of Agricultural Economics, vol. 20(1), pages 15-28.
    10. Habtamu Alem, 2023. "The role of green total factor productivity to farm-level performance: evidence from Norwegian dairy farms," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-16, December.
    11. Runqi Lun & Qiyou Luo & Mingjie Gao & Guojing Li & Tengda Wei, 2023. "How to Break the Bottleneck of Potato Production Sustainable Growth—A Survey from Potato Main Producing Areas in China," Sustainability, MDPI, vol. 15(16), pages 1-16, August.
    12. Juan Cabas Monje & Bouali Guesmi & Amer Ait Sidhoum & José María Gil, 2023. "Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 688-703, October.
    13. Roengchai Tansuchat, 2023. "A Copula-Based Meta-Stochastic Frontier Analysis for Comparing Traditional and HDPE Geomembranes Technology in Sea Salt Farming among Farmers in Phetchaburi, Thailand," Agriculture, MDPI, vol. 13(4), pages 1-23, March.
    14. Alem, Habtamu, 2020. "Performance of the Norwegian dairy farms: A dynamic stochastic approach," Research in Economics, Elsevier, vol. 74(3), pages 263-271.
    15. Owusu, Rebecca & Kwadzo, Moses & Ghartey, William, 2022. "Regional Productivity Differential and Technology Gap In African Agriculture: A Stochastic Metafrontier Approach," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 10(1), January.
    16. Tleubayev, Alisher & Bobojonov, Ihtiyor & Götz, Linde, 2022. "Agricultural policies and technical efficiency of wheat production in Kazakhstan and Russia: Evidence from a stochastic frontier approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 54(3), pages 407-421.
    17. Lajos Baráth & Imre Fertő & Jakub Staniszewski, 2021. "Technological Heterogeneity in Pig Farming: A Metafrontier Approach—Perspectives from Hungary and Poland," Agriculture, MDPI, vol. 11(10), pages 1-13, October.
    18. Ho, Phuc Trong & Hung, Pham Xuan & Tien, Nguyen Duc, 2023. "Effects of varieties and seasons on cost efficiency in rice farming: A stochastic metafrontier approach," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 13(02), January.
    19. Yu, Ming-Miin & See, Kok Fong & Hsiao, Bo, 2022. "Integrating group frontier and metafrontier directional distance functions to evaluate the efficiency of production units," European Journal of Operational Research, Elsevier, vol. 301(1), pages 254-276.
    20. Habtamu Alem, 2021. "The Role of Technical Efficiency Achieving Sustainable Development: A Dynamic Analysis of Norwegian Dairy Farms," Sustainability, MDPI, vol. 13(4), pages 1-11, February.
    21. Lungelo P. Cele & Thia Hennessy & Fiona Thorne, 2023. "Regional technical efficiency rankings and their determinants in the Irish dairy industry: A stochastic meta‐frontier analysis," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 727-743, July.
    22. Abebayehu Girma Geffersa & Frank Wogbe Agbola & Amir Mahmood, 2022. "Modelling technical efficiency and technology gap in smallholder maize sector in Ethiopia: accounting for farm heterogeneity," Applied Economics, Taylor & Francis Journals, vol. 54(5), pages 506-521, January.

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