Impact Of The Manufacturing Sector On The Export Competitiveness Of European Countries – A Spatial Panel Analysis

The purpose of this paper is to determine how changes in the export competitiveness of the EU economy (measured by exports and net exports) depend on changes in the competitiveness of processing industries, on the basis of manufacturing data from 19 EU countries over years 1995-2009 and using a spatial panel data model. The determinants of export competitiveness are selected in the light of predictions from international trade theory, growth theory and the theory of innovation. In particular, the paper explores how the size of foreign demand, the value of domestic demand, the level of ULC in the sector, the degree of openness of the sector to foreign markets, labour productivity and intermediate consumption in a sector affect the export competitiveness of the European economies selected. The results from spatial data models lead to a conclusion about the statistical significance of spatial dependencies in export competitiveness modelling. The analysis indicates the different determinants of export competitiveness, both if it is measured by export value and if it measured by net exports. The authors hope that the results will be a voice in the discussion on enhancing the competitiveness of European industrial sector

Growth and structural changes in transition countries: the chicken or the egg?

The objective of this study is to test empirically the relationship between structural changes (changes in gross value added and employment) and economic growth. We used a panel Granger-causality analysis based on annual data for eight transition countries, covering the period 1995–2011. The main finding is that the causality relations analysed are heterogeneous processes and are identified more often when we measure structural changes by value added than by changes in employment. Among the countries analysed, we separate a subgroup of economies with very strong bilateral causality (small countries such as Latvia, Lithuania, and Estonia), a subgroup in which no causal relationships are observed (e.g., Hungary in the case of employment), and a group with a one-directional relationship (e.g., Poland, where GDP changes cause employment changes, but not vice versa). The research results point to the necessity of taking into account different relationships, whether one- or two-directional, between growth and structural changes in government economic policy. The paper presents a verifiable methodology, which was originally used to identify the analysed relationship in transition countries

GLOBAL COMPETITIVENESS AND ECONOMIC GROWTH: A ONE-WAY OR TWO-WAY RELATIONSHIP?

The Global Competitiveness Index is treated as a standard to measure the competitiveness of countries. Leaders look at it to make policy and resource allocation decisions, because global competitiveness is expected to be related to economic growth. However, studies which analyze the empirical relationship between these two economic categories are very rare. It is still an open question in the literature whether economic growth can be used to predict future global competitiveness or the other way round. This paper empirically tests the relationship between the GCI and the economic growth rate by using a panel Granger causality analysis based on annual data for 114 countries divided into five groups by income criteria and covering the period 2006-2014. We confirm a strong unidirectional causality among the countries analyzed, i.e. GDP growth causes global competitiveness. Additionally, we find that the GCI is successful in predicting economic growth for the majority low income and OCED high income counties, but among the middle income countries this relationship exists only for large economies such as China and India

Determinants of trade balance in Polish and Czech manufacturing sectors

Research background: A strong industrial base is essential for achieving long-term sustainable economic growth and export competitiveness. In that sense, manufacturing remains a significant contributor to exports in the CEE countries. How-ever, its role and its influence vary between CEE economies and change over time. Purpose of the article: The main objective of this paper is to compare the determinants of the international competitiveness, measured by the net exports of the manufacturing sectors in the Czech and Polish economies, by using the database of 13 manufacturing sub-sectors in 1995-2011. The authors research the question of how much foreign and domestic demand, the level of labour costs, the level of sector innovation intensity, the level of sector openness to foreign markets as well as sectoral labour productivity influence the changes in trade balance. Methods: Our approach is based on employing an error correction model and SUR model to disaggregated sectoral manufacturing data. Findings & Value added: The results of the analysis conducted show substantial differences in the roles particular variables play in explaining the net exports in individual sectors. For the majority of Polish and Czech manufacturing sub-sectors, generation of positive trade balance is determined by relative demand growth. An increasing labour productivity influences heavily a positive trade balance of Polish goods in majority of sub-sectors, however, a key factor in Czech sub-sectors is decreasing unit labour costs. The results of the analysis indicate mostly a greater impact of the researched factors on net exports in long rather than short term and the better capacity of the Czech economy to correct deviations from the equilibrium

New patterns in the position of CEE countries in global value chains: functional specialisation approach

Research background: High servitisation of manufacturing makes it impossible to separate services from manufactured goods properly, which implies difficulties in the assessment of the position of the country on the smile curve, i.e. in the proper assignment of products or services to one of the industrial process steps: pre-production, pure fabrication or post-production services. Therefore, we propose to use the business functions of industries identified with the aid of labour market data rather than the industrial classification of products in order to create a more appropriate measure of the position of countries in GVCs. Purpose of the article: We aim to identify and analyse the patterns of functional specialisation for eight Central and Eastern European Countries (CEECs) — the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Poland, Slovakia and Slovenia — both at the country and industry level. In addition, we analyse functional specialisation patterns for Germany, which serves as a reference country. Methods: To assess functional specialisation patterns, we employ the methodology proposed by Timmer et al. (2019a). It allows us to obtain functional specialisation indices for four different business functions — management, R&D, marketing, and fabrication. To compute them, we combine two sources of data — domestic value added from decomposed sectoral input-output tables (the World Input Output Database) and the Occupations Database built up by Timmer et al. (2019a). Findings & value added: Our research shows a very heterogeneous pattern in CEEC countries' position in GVCs by taking into account their functional specialisation at the countries and industries levels. Poland and Slovakia focus primarily on low value-added fabrication processes, the Baltic countries and Slovenia specialise in management services, Hungary and Latvia gain in marketing services, and the Czech Republic and Slovenia win in R&D activities. We indicate that some CEE countries (Poland, Slovakia) could be stuck in a functional trap, and our approach could be a valuable tool for assessing the process of coming out of it. Keywords: functional specialisation; gross export decomposition; occupations; economic upgrading; CEE countrie

Identification of the epitope for anti-cystatin C antibodies

Human cystatin C (hCC), like many other amyloidogenic proteins, has been shown to form dimers by exchange of subdomains of the monomeric protein. Considering the model of hCC fibrillogenesis by propagated domain swapping, it seems possible that inhibition of this process should also suppress the entire process of dimerization and fibrillogenesis which leads to specific amyloidosis (hereditary cystatin C amyloid angiopathy (HCCAA)). It was reported that exogenous agents like monoclonal antibody against cystatin C are able to suppress formation of cystatin C dimers. In the effort to find a way of controlling the cystatin fibrillization process, the interactions between monoclonal antibody Cyst-13 and cystatin C were studied in detail. The present work describes the determination of the epitope of hCC to a monoclonal antibody raised against cystatin C, Cyst-13, by MALDI mass spectrometry, using proteolytic excision of the immune complex. The shortest epitope sequence was determined as hCC(107-114). Affinity studies of synthetic peptides revealed that the octapeptide with epitope sequence does not have binding ability to Cyst-13, whereas its longer counterpart, hCC(105–114), binds the studied antibody. The secondary structure of the peptides with epitope sequence was studied using circular dichroism and NMR spectroscopy