Semiparametric stochastic metafrontier efficiency of European manufacturing firms

被引：21

作者：

Verschelde, Marijn ^{[1
,2
]}

Dumont, Michel ^{[3
,6
]}

Rayp, Glenn ^{[4
]}

Merlevede, Bruno ^{[5
]}

机构：

[1] IESEG Sch Management, LEM, UMR 9221, CNRS, Socle Grande Arche 1 Parvis La Def, F-92044 Paris, France

[2] Katholieke Univ Leuven, Ctr Econ Studies, Leuven, Belgium

[3] Fed Planning Bur, Brussels, Belgium

[4] Univ Ghent, SHERPPA, Dept Gen Econ, B-9000 Ghent, Belgium

[5] Univ Ghent, CERISE, Dept Gen Econ, B-9000 Ghent, Belgium

[6] Univ Ghent, Dept Gen Econ, B-9000 Ghent, Belgium

来源：

JOURNAL OF PRODUCTIVITY ANALYSIS | 2016年 / 45卷 / 01期

关键词：

Productive efficiency; Metafrontier estimation; Semiparametric frontier; Kernel estimation; Stochastic frontier; Manufacturing; NONPARAMETRIC FRONTIER ESTIMATION; LOCAL LIKELIHOOD ESTIMATION; GENERALIZED LEONTIEF; MINFLEX-LAURENT; PRODUCTIVITY; REGRESSION; TRADE; COEFFICIENT; ESTIMATORS; TURNOVER;

D O I：

10.1007/s11123-015-0458-7

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In this paper a semiparametric stochastic metafrontier approach is used to obtain insight into the performance of manufacturing firms in Europe. We differ from standard TFP studies at the firm level as we simultaneously allow for inefficiency, noise and do not impose a functional form on the input-output relation. Using AMADEUS firm-level data covering ten manufacturing sectors from seven EU15 countries, (1) we document substantial and persistent differences in performance (with Belgium and Germany as benchmark countries and Spain lagging behind) and a wide technology gap, (2) we confirm the absence of convergence in TFP between the seven selected countries, (3) we highlight a more pronounced technology gap for smaller firms.

引用

页码：53 / 69

页数：17

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