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Stochastic frontier modelling of working capital efficiency across Europe

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  • Afrifa, Godfred Adjapong
  • Tingbani, Ishmael
  • Adesina, Oluseyi Oluseun

Abstract

This paper adopts the stochastic frontier analysis (SFA) to model working capital efficiency (WCE) on a sample of 6170 European firms from 2009 to 2018. We find: (i) larger firms are more efficient with their working capital management (WCM) than smaller firms, (ii) higher cash holding contributes to WCE, (iii) high competition is less conducive to WCE than low competition, (iv) export and sales growth potential decrease WCE and (v) WCE increases with access to bank credit. In the analysis, a distinction is made between the “old” EU countries and the “new” EU countries. The results are sensitive to the year of admission into the EU. The results are robust to omitted variable bias, using a more novel approach.

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  • Afrifa, Godfred Adjapong & Tingbani, Ishmael & Adesina, Oluseyi Oluseun, 2022. "Stochastic frontier modelling of working capital efficiency across Europe," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  • Handle: RePEc:eee:tefoso:v:184:y:2022:i:c:s0040162522005339
    DOI: 10.1016/j.techfore.2022.122012
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    More about this item

    Keywords

    Working capital efficiency; Working capital management; Determinants of WCE; Inventory; Trade receivables; Trade payables; Stochastic frontier analysis;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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