What drives productivity growth in the new EU member states? The case of Poland

This paper considers productivity developments in the new EU member states and provides evidence on factors driving productivity growth in these countries, focusing on a panel of Polish manufacturing industries. Companies in Poland seem to benefit significantly from transfer of technologies that have been accumulated in more developed economies. By contrast, no strong evidence is found on immediate technology transfer. Another result is a significant effect of domestic innovation activity. There are signs that market reforms also boosted efficiency, whereas the role of reallocation of production factors towards more productive activities was marginal. Bearing in mind all methodological and data-related caveats, as well as cross-country diversity, caution is required while interpreting the findings and extrapolating them to other new member states. However, the results obtained provide some policy implications and make the case for taking into account domestic innovation activity while constructing endogenous growth models for the EU catching-up economies. JEL Classification: C23, O31, O47convergence, innovation, manufacturing, multi-factor productivity, new Member States

Regulation, productivity, and growth : OECD evidence

The authors look at differences in the scope and depth of pro-competitive regulatory reforms and privatization policies as a possible source of cross-country dispersion in growth outcomes. They suggest that, despite extensive liberalization and privatization in the OECD area, the cross-country variation of regulatory settings has increased in recent years, lining up with the increasing dispersion in growth. The authors then investigate empirically the regulation-growth link using data that cover a large set of manufacturing and service industries in OECD countries over the past two decades and focusing on multifactor productivity (MFP), which plays a crucial role in GDP growth and accounts for a significant share of its cross-country variance. Regressing MFP on both economywide indicators of regulation and privatization and industry-level indicators of entry liberalization, the authors find evidence that reforms promoting private governance and competition (where these are viable) tend to boost productivity. In manufacturing the gains to be expected from lower entry barriers are greater the further a given country is from the technology leader. So, regulation limiting entry may hinder the adoption of existing technologies, possibly by reducing competitive pressures, technology spillovers, or the entry of new high technology firms. At the same time, both privatization and entry liberalization are estimated to have a positive impact on productivity in all sectors. These results offer an interpretation to the observed recent differences in growth patterns across OECD countries, in particular between large continental European economies and the United States. Strict product market regulations-and lack of regulatory reforms-are likely to underlie the relatively poorer productivity performance of some European countries, especially in those industries where Europe has accumulated a technology gap (such as information and communication technology-related industries). These results also offer useful insights for non-OECD countries. In particular, they point to the potential benefits of regulatory reforms and privatization, especially in those countries with large technology gaps and strict regulatory settings that curb incentives to adopt new technologies.Labor Policies,Public Health Promotion,Health Monitoring&Evaluation,Environmental Economics&Policies,Economic Theory&Research,Governance Indicators,Environmental Economics&Policies,Economic Theory&Research,Health Monitoring&Evaluation,Health Economics&Finance

Technology upgrading of middle income economies: A new approach and results

We explore issues of measurement for technology upgrading of the economies moving from middle to high-income status. In exploring this issue, we apply theoretically relevant and empirically grounded middle level conceptual and statistical framework based on three dimensions: (i) Intensity (ii) breadth of technological upgrading, and (iii) technology and knowledge exchange. As an outcome, we construct a three-pronged composite indicator of technology upgrading based on 35 indicators which reflect different drivers and patterns of technology upgrading of countries at different income levels. We show that technology upgrading of middle-income economies is distinctively different from that of low and high-income economies. Our results suggest the existence of middle-income trap in technology upgrading - i.e. countries' technology upgrading activities are not reflected in their income levels. Based on the simple statistical analysis we show that the middle-income trap is present in all three aspects of technology upgrading, but their importance varies across different aspects. A trap seems to be higher for 'breadth' of technology upgrading than for 'intensity' of technology upgrading and is by far the highest for the dimension of knowledge and technology interaction with the global economy. Finally, our research shows that technology upgrading is a multidimensional process and that it would be methodologically wrong to aim for an aggregate index

Nonparametric approach to evaluation of economic and social development in the EU28 member states by DEA efficiency

Data envelopment analysis (DEA) methodology is used in this study for a comparison of the dynamic efficiency of European countries over the last decade. Moreover, efficiency analysis is used to determine where resources are distributed efficiently and/or were used efficiently/inefficiently under factors of competitiveness extracted from factor analysis. DEA measures numerical grades of the efficiency of economic processes within evaluated countries and, therefore, it becomes a suitable tool for setting an efficient/inefficient position of each country. Most importantly, the DEA technique is applied to all (28) European Union (EU) countries to evaluate their technical and technological efficiency within the selected factors of competitiveness based on country competitiveness index in the 2000-2017 reference period. The main aim of the paper is to measure efficiency changes over the reference period and to analyze the level of productivity in individual countries based on the Malmquist productivity index (MPI). Empirical results confirm significant disparities among European countries and selected periods 2000-2007, 2008-2011, and 2012-2017. Finally, the study offers a comprehensive comparison and discussion of results obtained by MPI that indicate the EU countries in which policy-making authorities should aim to stimulate national development and provide more quality of life to the EU citizens.Web of Science122art. no. 7

The EU-US total factor productivity gap : An industry perspective

This paper uses the EU KLEMS industry growth accounting database to explore the determinants of the EU-US total factor productivity (TFP) growth gap which started to emerge in the mid-1990's.Growth determinants, Total Factor Productivity, European Union, Havik, Mc Morrow, R�ger, Roeger, Turrini, klems, eu klems

Quantitative storytelling in the making of a composite indicator

The reasons for and against composite indicators are briefly reviewed, as well as the available theories for their construction. After noting the strong normative dimension of these measures—which ultimately aim to ‘tell a story’, e.g. to promote the social discovery of a particular phenomenon, we inquire whether a less partisan use of a composite indicator can be proposed by allowing more latitude in the framing of its construction. We thus explore whether a composite indicator can be built to tell ‘more than one story’ and test this in practical contexts. These include measures used in convergence analysis in the field of cohesion policies and a recent case involving the World Bank’s Doing Business Index. Our experiments are built to imagine different constituencies and stakeholders who agree on the use of evidence and of statistical information while differing on the interpretation of what is relevant and vital

Measuring Sustainable Development: The Use of Computable General Equilibrium Models

This paper advocates computable general equilibrium models as a methodological tool that is particularly suitable for measuring the impacts of policy interference on the three dimensions of sustainable development, i.e. environmental quality, economic performance (gross efficiency) and equity. These dimensions are inherently intertwined and subject to trade-offs. Computable general equilibrium models can incorporate various important sustainable development indicators in a single consistent framework and allow for a systematic quantitative trade-off analysis. --computable general equilibrium modeling (CGE),sustainability impact assessment (SIA),sustainable development (SD)

Determinant factors of structural similarity at the regional level: evidence from Portugal

There is scant evidence on the determinant factors of structural similarity between geographical spaces; moreover, it has been produced considering only the national level. The present study provides evidence on this topic at the regional level, based on the analysis of 275 Portuguese counties. The results obtained confirm the importance of several explanatory factors, suggesting that the structural similarity between Portuguese counties increases with geographical proximity, the existence of a shared boundary, the similarity of factor endowments in terms of physical and human capital and the similarity in terms of economic centrality and market dimension. Key words: productive structure, Portugal, structural similarity, factor endowments, economic geography

Competition and Economic Growth: an Empirical Analysis for a Panel of 20 OECD Countries

This paper aims at analyzing, from an empirical point of view, the relationship between product market competition and economic growth, using the data on multi-factor productivity for a panel of 20 OECD countries over a period 1995-2005, and considering the role of the distance from the technological frontier in the growth process. Section A examines the impact of economic freedom and of the distance to frontier on the level and on the growth rate of multi-factor productivity. The analysis distinguishes between the indicators of business freedom and trade freedom, as proxies for the competitive pressures coming from domestic market and from foreign market. Then, trade liberalizations are more beneficial for the countries far from the frontier, because they can exploit the opportunities given by international trade also in order to adopt the existing technologies developed by the advanced economies. On the other hand, business liberalizations are more advantageous for the countries close to the frontier, because the elimination of regulatory barriers increases the possibility of entry in the market and then rises the potential competition to the incumbent firms. Section B studies the effect of product market regulation, employment protection legislation and of the distance to frontier on the level and on the growth rate of multi-factor productivity. Product market liberalization as well as labour market deregulation determine an increase of total factor productivity: moreover, the interaction of market rigidities with the distance to the frontier mostly displays an innovationenhancing effect, since the positive effect of market liberalizations on TFP is higher for the countries close to the frontier, where the existing technology level would reinforce the incentive for innovation.multi-factor productivity; economic freedom; product market regulation; employment protection legislation; distance to frontier