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Dynamic Efficiency Measurement: A Directional Distance Function Approach

Author

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  • Elvira Silva

    (Faculdade de Economia do Porto, cef.up, University of Porto)

  • Alfons Oude Lansink

    (Department of Social Sciences, Wageningen University)

Abstract

A dynamic directional input distance function is proposed within the adjustment-cost model of the firm, generalizing the directional distance function developed by Chambers, Chung and Färe (1996) in the static context. Duality is established between the dynamic directional distance function and the optimal current value function of the intertemporal cost minimization problem. Dynamic input efficiency measures are generated from the dynamic directional input distance function and intertemporal duality. These efficiency measures indicate the firm’s degree of efficiency at a point along its adjustment path. The dynamic efficiency measures are illustrated on panel data of Dutch glasshouse horticulture firms using a nonparametric approach. Keywords and Phrases: adjustment-cost technology, dynamic directional input distance function, dynamic duality, dynamic cost efficiency.

Suggested Citation

  • Elvira Silva & Alfons Oude Lansink, 2013. "Dynamic Efficiency Measurement: A Directional Distance Function Approach," CEF.UP Working Papers 1307, Universidade do Porto, Faculdade de Economia do Porto.
    • Handle: RePEc:por:cetedp:1307
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    References listed on IDEAS

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    Cited by:

    1. Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2020. "Endogenous dynamic efficiency in the intertemporal optimization models of firm behavior," European Journal of Operational Research, Elsevier, vol. 284(1), pages 313-324.
    2. Dakpo, K Hervé & Lansink, Alfons Oude, 2019. "Dynamic pollution-adjusted inefficiency under the by-production of bad outputs," European Journal of Operational Research, Elsevier, vol. 276(1), pages 202-211.
    3. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2014. "Assessing dynamic inefficiency of the Spanish construction sector pre- and post-financial crisis," European Journal of Operational Research, Elsevier, vol. 237(1), pages 349-357.
    4. Kapelko, M. & Horta, I.M. & Camanho, A.S. & Oude Lansink, A., 2015. "Measurement of input-specific productivity growth with an application to the construction industry in Spain and Portugal," International Journal of Production Economics, Elsevier, vol. 166(C), pages 64-71.
    5. Ang, Frederic & Oude Lansink, Alfons, 2014. "Dynamic profit inefficiency: a DEA application to Belgian dairy farms," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182649, European Association of Agricultural Economists.
    6. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2015. "Analyzing the impact of investment spikes on dynamic productivity growth," Omega, Elsevier, vol. 54(C), pages 116-124.
    7. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    8. Jean Joseph Minviel & Timo Sipiläinen, 2018. "Dynamic stochastic analysis of the farm subsidy-efficiency link: evidence from France," Journal of Productivity Analysis, Springer, vol. 50(1), pages 41-54, October.
    9. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro, 2014. "The Impact of the 2008 Economic Crisis on Dynamic Productivity Growth of the Spanish Food Manufacturing Industry. An Impulse Response Analysis," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182769, European Association of Agricultural Economists.
    10. Magdalena Kapelko & Alfons Oude Lansink & Spiro E Stefanou, 2015. "Effect of Food Regulation on the Spanish Food Processing Industry: A Dynamic Productivity Analysis," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-16, June.
    11. Jean Joseph Minviel & Timo Sipiläinen, 2021. "A dynamic stochastic frontier approach with persistent and transient inefficiency and unobserved heterogeneity," Agricultural Economics, International Association of Agricultural Economists, vol. 52(4), pages 575-589, July.
    12. Tsionas, Mike & Patel, Pankaj C. & Guedes, Maria João, 2022. "Endogenous efficiency of the dynamic profit maximization in the intertemporal production models of venture behavior," International Journal of Production Economics, Elsevier, vol. 246(C).
    13. Magdalena Kapelko & Alfons Oude Lansink, 2020. "Dynamic Cost Inefficiency of the European Union Meat Processing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 760-777, September.
    14. Sebastian Nick & Heike Wetzel, 2016. "The hidden cost of investment: the impact of adjustment costs on firm performance measurement and regulation," Journal of Regulatory Economics, Springer, vol. 49(1), pages 33-55, February.
    15. Beatriz Tovar & Alan Wall, 2017. "Dynamic Cost Efficiency in Port Infrastructure Using a Directional Distance Function: Accounting for the Adjustment of Quasi-Fixed Inputs Over Time," Transportation Science, INFORMS, vol. 51(1), pages 296-304, February.

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    More about this item

    Keywords

    adjustment-cost technology; dynamic directional input distance function; dynamic duality; dynamic cost efficiency;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing

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