Mette Asmild

Mette Asmild

Professor

ORCID: 0000-0002-7272-1048

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  1. Udgivet

    A relatively easy-access description of the logistics, purposes and function of the sector model KRAM

    Asmild, Mette & Wiborg, T., 1999, Copenhagen: The Royal Veterinary and Agricultural University, Department of Economics and Natural resources. 19 s. (Unit of Economics Working papers / Department of Economics and Natural Resources, The Royal Veterinary and Agricultural University; Nr. No. 3).

    Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning

  2. Udgivet

    Applying Statistical Methods to Compare Frontiers: Are Organic Dairy Farms Better Than the Conventional?

    Asmild, Mette, Kronborg, D. & Rønn-Nielsen, A., 2021, Advances in Efficiency and Productivity Analysis. Parmeter, C. F. & Sickles, R. C. (red.). Springer, s. 335-348 14 s. (Springer Proceedings in Business and Economics).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  3. Udgivet

    Are high labour costs destroying the competitiveness of danish dairy farmers? evidence from an international benchmarking analysis

    Asmild, Mette, Nielsen, Kurt & Bogetoft, P., 2012, Institute of Food and Resource Economics, University of Copenhagen, s. 1-18, 18 s. (MSAP Working Paper Series; Nr. 1, Bind 2012).

    Publikation: Working paper › Forskning

  4. Assessing financial risk tolerance of portfolio investors using data envelopment analysis

    Ardehali, P. H., Paradi, J. C. & Asmild, Mette, 2005, I: International Journal of Information Technology and Decision Making. 4, 3, s. 491-519 29 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  5. Udgivet

    Banking efficiency under corporate social responsibilities

    Ohene-Asare, K. & Asmild, Mette, 2012, I: International Journal of Banking, Accounting and Finance. 4, 2, s. 146–171 26 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  6. Centralized resource allocation BCC models

    Asmild, Mette, Paradi, J. C. & Pastor, J. T., feb. 2009, I: Omega. 37, 1, s. 40-49 10 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  7. Combining DEA window analysis with the Malmquist index approach in a study of the Canadian banking industry

    Asmild, Mette, Paradi, J. C., Aggarwall, V. & Schaffnit, C., 2004, I: Journal of Productivity Analysis. 21, 1, s. 67-89 23 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  8. Udgivet

    Comment on: "Testing Hypotheses in Non-parametric Models of Production" by Kneip, Simar, and Wilson (2016, JBES)

    Asmild, Mette, Henningsen, Arne, Kronborg, D. & Rønn-Nielsen, A., 2019, Department of Food and Resource Economics, University of Copenhagen, 3 s. (IFRO Working Paper ; Nr. 2019/07).

    Publikation: Working paper › Forskning

  9. Udgivet

    Controlling for environmental conditions in regulatory benchmarking

    Heesche, E. & Asmild, Mette, 2020, Department of Food and Resource Economics, University of Copenhagen, 26 s. (IFRO Working Paper ; Nr. 2020/03).

    Publikation: Working paper › Forskning

  10. Udgivet

    Controlling for environmental conditions in regulatory benchmarking

    Heesche, E. & Asmild, Mette, 2022, I: Utilities Policy. 77, 13 s., 101390.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  11. Udgivet

    Controlling for the use of extreme weights in bank efficiency assessments during the financial crisis

    Asmild, Mette & Zhu, M., 2016, I: European Journal of Operational Research. 251, 3, s. 999-1015 17 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  12. DEA based models for reallocations of police personnel

    Asmild, Mette, Paradi, J. C. & Pastor, J. T., 2012, I: OR Spectrum - Quantitative Approaches in Management. 34, 4, s. 921-941 21 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  13. Udgivet

    Data Envelopment Analysis and hyperbolic efficiency measures: Extending applications and possibilities for between-group comparisons

    Öttl, Alexander, Asmild, Mette & Gulde, D., 2023, I: Decision Analytics Journal. 9, 7 s., 100343.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  14. Udgivet

    Differences between the productivities of organic and conventional dairy farms in Denmark

    Aigner, L. & Asmild, Mette, 2021, I: Q Open. 1, 1, 15 s., qoaa010.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  15. Udgivet

    Do aquaculture farmers have an incentive to maintain good water quality? The case of small-scale shrimp farming in indonesia

    Hukom, V., Nielsen, Rasmus, Asmild, Mette & Nielsen, Max, 2020, I: Ecological Economics. 176, 9 s., 106717.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  16. Udgivet

    Do efficiency scores depend on input mix? A statistical test and empirical illustration

    Asmild, Mette, Hougaard, Jens Leth & Kronborg, D., 2013, I: Annals of Operations Research. 211, 1, s. 37-48 12 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  17. Udgivet

    Efficiency and production environmental heterogeneity in aquaculture: A meta-frontier DEA approach

    Rahman, Md Takibur, Nielsen, Rasmus, Khan, M. A. & Asmild, Mette, 2019, I: Aquaculture. 509, s. 140-148 9 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  18. Udgivet

    Environmental production factors and efficiency of smallholder agricultural households: Using non-parametric conditional frontier methods

    Adamie, B. A., Balezentis, T. & Asmild, Mette, 2019, I: Journal of Agricultural Economics. 70, 2, s. 471-487 17 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  19. Estimating global frontier shifts and global Malmquist indices

    Asmild, Mette & Tam, F., feb. 2007, I: Journal of Productivity Analysis. 27, 2, s. 137-148 12 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  20. Estimation of excess water use in irrigated agriculture: A Data Envelopment Analysis approach

    Lilienfeld, A. & Asmild, Mette, 2007, I: Agricultural Water Management. 94, 1-3, s. 73-82 10 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  21. Udgivet

    Exact tests on returns to scale and comparisons of production frontiers in nonparametric models

    Rønn-Nielsen, A., Kronborg, D. & Asmild, Mette, 2019, Department of Food and Resource Economics, University of Copenhagen, 23 s. (IFRO Working Paper ; Nr. 2019/04).

    Publikation: Working paper › Forskning

  22. Udgivet

    Exploring the regional efficiency of the Swedish agricultural sector during the CAP reforms - multi-directional efficiency analysis approach

    Manevska-Tasevska, G., Hansson, H., Asmild, Mette & Surry, Y., 2021, I: Land Use Policy. 100, 10 s., 104897.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  23. Udgivet

    Frontier differences and the global malmquist index

    Asmild, Mette, 2015, Data envelopment analysis: a handbook of models and methods. Zhu, J. (red.). Springer Science+Business Media, Bind 221. s. 447-461 15 s. (International Series in Operations Research and Management Science, Bind 221).

    Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

  24. Udgivet

    Identifying the most important set of weights when modelling bad outputs with the weak disposability approach

    Aigner, L. & Asmild, Mette, 2023, I: European Journal of Operational Research. 310, 2, s. 751-759 9 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  25. Udgivet

    Implications of Aggregation Uncertainty in DEA

    Heesche, E. & Asmild, Mette, 2022, Department of Food and Resource Economics, University of Copenhagen, 29 s. (IFRO Working Paper; Nr. 2022/02).

    Publikation: Working paper › Forskning

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ID: 21760166