USING THE GINI COEFFICIENT AND LORENZ CURVE TO ASSESS THE CONCENTRATION LEVEL OF THE METALLURGICAL INDUSTRY IN EUROPE

被引：0

作者：

Wysokinski, Marcin ^{[1
]}

Golasa, Piotr ^{[1
]}

Baran, Joanna ^{[1
]}

Bienkowska-Golasa, Wioletta ^{[1
]}

机构：

[1] Warsaw Univ Life Sci SGGW, Warsaw, Poland

来源：

METAL 2017: 26TH INTERNATIONAL CONFERENCE ON METALLURGY AND MATERIALS | 2017年

关键词：

Metallurgy; industry; concentration; Europe; COMPANIES;

D O I：

暂无

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

The main purpose of this paper is to determine the concentration level of the metallurgical industry in Europe. The first part presents the overall situation in this sector in the 2007-2014 period. In the second part, the concentration of the metallurgical industry in Europe has been estimated using the Lorenz curve and the Gini coefficient based on Eurostat data. It has been noted that four countries with the most significant share in the metallurgical industry: Germany, Italy, France and Spain account for about 50% of European production and employment, which indicates a high concentration of the sector. It has been determined that since 2007 the level of concentration in terms of production and the number of persons employed has increased, which most likely is a reaction of the sector to the economic crisis of 2008.

引用

页码：2344 / 2349

页数：6

共 36 条

[1] The Lorenz Curve and the Gini Coefficient
Rycroft, R
[J]. JOURNAL OF ECONOMIC EDUCATION, 2003, 34 (03): : 296 - 296
[2] The Discovery of the Gini Coefficient: Was the Lorenz Curve the Catalyst?
Schneider, Michael
[J]. HISTORY OF POLITICAL ECONOMY, 2021, 53 (01) : 115 - 141
[3] Estimation of the Gini coefficient for the lognormal distribution of income using the Lorenz curve
Darkwah, Kwasi A.
Nortey, Ezekiel N. N.
Lotsi, Anani
[J]. SPRINGERPLUS, 2016, 5
[4] Credibilistic Lorenz curve and Gini coefficient in fuzzy systems
Peng, Jin
Li, Shengguo
[J]. PROCEEDING OF THE SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES, 2008, 7 : 263 - 268
[5] Axiomatic characterization of the Gini coefficient and Lorenz curve orderings
Aaberge, R
[J]. JOURNAL OF ECONOMIC THEORY, 2001, 101 (01) : 115 - 132
[6] The Lorenz curve and the Gini coefficient as measures of income inequality
Brenes Gonzalez, Humberto Antonio
[J]. REICE-REVISTA ELECTRONICA DE INVESTIGACION EN CIENCIAS ECONOMICAS, 2020, 8 (15): : 104 - 125
[7] Applying the Lorenz Curve and Gini Coefficient to Measure the Population Distribution
Siddiq, Fazley K.
Klymentieva, Halyna
Lee, Taylor J. C.
[J]. INTERNATIONAL ADVANCES IN ECONOMIC RESEARCH, 2023, 29 (03) : 177 - 192
[8] Credibilistic Lorenz curve and Gini coefficient of discrete fuzzy variable
Li, Shengguo
Peng, Jin
[J]. PROCEEDING OF THE SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES, 2008, 7 : 347 - 352
[9] Novel credibility approaches for Lorenz curve and Gini coefficient estimation
Wen, Limin
Cao, Ruyi
Zhang, Yi
[J]. STATISTICS, 2024, 58 (04) : 795 - 826
[10] Applying the Lorenz Curve and Gini Coefficient to Measure the Population Distribution
Fazley K. Siddiq
Halyna Klymentieva
Taylor J. C. Lee
[J]. International Advances in Economic Research, 2023, 29 : 177 - 192

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