Dynamic multi-directional inefficiency analysis of European dairy manufacturing firms
| Autor: | Alfons Oude Lansink, Magdalena Kapelko |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Information Systems and Management
General Computer Science Bedrijfseconomie 0211 other engineering and technologies Sample (statistics) WASS 02 engineering and technology Management Science and Operations Research Industrial and Manufacturing Engineering Microeconomics Business Economics 0502 economics and business Data envelopment analysis Econometrics Economics Production (economics) Statistical dispersion 050207 economics 021103 operations research Data Envelopment Analysis Multi-directional inefficiency analysis Dynamic inefficiency Dairy manufacturing industry 05 social sciences Variable (computer science) Modeling and Simulation Financial crisis Inefficiency Panel data |
| Zdroj: | European Journal of Operational Research 257 (2017) 1 European Journal of Operational Research, 257(1), 338-344 |
| ISSN: | 0377-2217 |
| DOI: | 10.1016/j.ejor.2016.08.009 |
| Popis: | This paper extends the method of multi-directional inefficiency analysis to account for dynamics of firms’ production decisions. The resulting approach – dynamic multi-directional inefficiency analysis – measures variable input- and investment-specific inefficiency using Data Envelopment Analysis. The empirical application focuses on panel data of large dairy manufacturing firms over the period 2005–2012 in three European regions (Eastern, Southern and Western). The results show that investments are the most inefficient factor for firms in all European regions, followed by labour and materials. However, the findings also suggest a high dispersion of investment-specific inefficiency scores within the sample. The paper also finds that the median dynamic inefficiency is changing rapidly in the years after the beginning of the financial crisis. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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