Stochastic frontier modelling of working capital efficiency across Europe

被引:5
作者
Afrifa, Godfred Adjapong [1 ]
Tingbani, Ishmael [2 ]
Adesina, Oluseyi Oluseun [3 ]
机构
[1] Univ Kent, Kent Business Sch, Canterbury CT2 7PE, England
[2] Univ Southampton, Southampton Business Sch, Southampton SO17 1BK, England
[3] Canterbury Christ Church Univ, Christ Church Business Sch, North Holmes Rd, Canterbury CT1 1QU, England
关键词
Working capital efficiency; Working capital management; Determinants of WCE; Inventory; Trade receivables; Trade payables; Stochastic frontier analysis; CASH CONVERSION CYCLE; TRADE CREDIT; PANEL-DATA; FIRM SIZE; MANAGEMENT; PERFORMANCE; FINANCE; DETERMINANTS; OWNERSHIP; ACCESS;
D O I
10.1016/j.techfore.2022.122012
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
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页数:12
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