BETA CONVERGENCE ANALYSIS OF GROSS VALUE ADDED IN THE HIGH-TECHNOLOGY MANUFACTURING INDUSTRIES

The paper examines the recent developments in the high-technology manufacturing sectors in the EU28 countries, focusing on the β-convergence of gross value added in the Manufacture of computers, electronic, and optical products, and the Manufacture of basic pharmaceutical products and pharmaceutical preparations. We employ two dynamic panel models estimated using the system of generalized method of moments (GMM) to address the risk of an endogeneity bias. The panel data analysis indicates a higher convergence for the Manufacture of computer, electronic, and optical products at 16.4% compared to 2.2% for the Manufacture of basic pharmaceutical products and pharmaceutical preparations, which is consistent with the existence of fewer barriers and higher exposure to competition in the case of the first analyzed sector. In the context of the role of the high-technology manufacturing industries as an engine of growth and the existing performance differences between the EU28 countries in terms of gross value added in the analyzed sectors, we investigated the β-convergence for two groupings EU15 and the new EU member states. We found that the new EU member states display a higher β-convergence rate than EU15, but also that they have a lower capital intensity. The result highlights the potential risk of some of the new EU member states becoming laggers in terms of the underlying factors behind gross value added as investment and labour force.

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Ukraine and the European Union Industry: Comparative Statistical Analysis of Structural Advantages

Statistics of Ukraine ◽

10.31767/su.4(79).2017.04.03 ◽

2017 ◽

pp. 22-30

Author(s):

S. О. Ishchuk ◽

L. Yo. Sozanskyy

Keyword(s):

European Union ◽

Value Added ◽

Industrial Sector ◽

The European Union ◽

Member States ◽

Domestic Industry ◽

Eu Member States ◽

Gross Value Added ◽

Comparative Statistical Analysis ◽

The Eu

The signing of the Association Agreement between Ukraine and the European Union (EU) raised the need to increase the competitiveness of domestic industry producers to the level of the EU member states. The choice of ways to improve the domestic industrial sector should be based on the results of relevant analytical assessments. The purpose of the article is to conduct a comparative statistical analysis of key structural indicators of the industry in Ukraine and EU member states by type of industrial activity. In order to achieve this goal, a methodological approach has been developed that allows for system evaluation of industry pattern and its internal and external efficiency. Using these tools, a comparative analysis of structural advantages of the industry in Ukraine and the EU member states is conducted by share of industry in output, gross value added and exports, and by efficiency measured by share of gross value added in industry output. Similar calculations are made for all types of industrial activities. The results of the analysis show that Ukraine, in spite of heavy industrial potential and significant natural and human resources, in the period of analysis (2012-2015) had only 19th position among the EU member states by industrial output and the 20th position by value added in industry The pattern of the Ukrainian industry is typical for countries with economy based on primary commodities. The key problem faced by the Ukrainian industry is its low efficiency: the 28th position by share of value added in output. The above confirms that the cost structure of industrial products is dominated by material and energy components. This signals the need for further restructuring of the industrial sector in Ukraine. Optimization of the domestic industry structure has to cover all industrial sectors and subsectors. A key optimization criterion has to be the socioeconomic efficiency enhancement, which can be achieved through increasing and restructuring the gross value added, with particular emphasis on the share of gross operating profit, mixed income.

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Łukasz Ambroziak, Value added in foreign trade of new EU Member States, SGH publishing house, Warsaw School of Economics, Warsaw 2018, pp. 227

Studia i Prace WNEiZ ◽

10.18276/sip.2018.53/1-11 ◽

2018 ◽

Vol 53 ◽

pp. 141-145

Author(s):

Halina Nakonieczna-Kisiel

Keyword(s):

Foreign Trade ◽

Publishing House ◽

Value Added ◽

Member States ◽

Eu Member States ◽

New Eu Member States

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CHANGES IN LABOUR PRODUCTIVITY IN THE AGRIBUSINESS IN EUROPEAN UNION COUNTRIES

Acta Scientiarum Polonorum - Oeconomia ◽

10.22630/aspe.2018.17.1.10 ◽

2018 ◽

Vol 17 (1) ◽

pp. 85-94

Author(s):

Aldona Mrówczyńska-Kamińska ◽

Agnieszka Baer-Nawrocka

Keyword(s):

National Economy ◽

Food Industry ◽

Labour Productivity ◽

Value Added ◽

Northern Europe ◽

Eu Member States ◽

Gross Value Added ◽

New Eu Member States ◽

The Eu ◽

Means Of Production

The main aim of the paper is to identify the changes in labour productivity in the agribusiness and to define its relationship to labour productivity in the entire national economy of the EU countries. Labour productivity is expressed as gross value added per employee in agribusiness as a whole and its three zones (I – industries manufacturing means of production and services for agriculture and the food industry, II – agriculture, III – food industry). The analysis concerns selected years from 1995 to 2010, which are the most recent available data. The gross value added in agribusiness were calculated by means of the formula suggested by Woś in 1979. As it results from the analyses, despite favorable changes, the productivity of labour in the agribusiness in the new EU Member States remains at a lower level than in most of the EU-15 countries. The main reason behind the differences in the levels of agribusiness labour productivity is a surplus of the labor force in the agriculture in the most EU-12 countries. Moreover, the EU-15 countries especially from Western and Northern Europe demonstrate smaller differences between the labour productivity in agribusiness and other sectors of the national economy.

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