TECHNOLOGICAL CHANGE, TECHNOLOGICAL CATCH-UP AND MARKET POTENTIAL: EVIDENCE FROM THE EU REGIONS

Dimitris KALLIORAS

Associate Professor, Department of Planning and Regional Development, University of Thessaly, ORCID ID: 0000-0003-3060-3745

dkallior@uth.gr

Nickolaos TZEREMES

Associate Professor, Department of Economics, University of Thessaly,ORCID ID: 0000-0002-6938-3404

bus9nt@uth.gr

Panayiotis TZEREMES

Assistant Professor, Department of Accounting and Finance, University of Thessaly, ORCID ID: 0000-0002-0746-3839

tzeremes@uth.gr

Maria ADAMAKOU

PhD Candidate, Department of Planning and Regional Development, University of Thessaly

madamakou@uth.gr

Abstract

The paper examines the way(s) market potential affects the EU regions’ technological change and technological catch-up. The analysis refers to a sample of 263 NUTS II EU regions and covers the period 1995-2008 (i.e. prior to the outburst of the economic crisis). On the basis of the latest advances of nonparametric frontier analysis, and in the presence of dynamic effects, time-dependent conditional nonparametric frontiers are developed. The incorporation of the dynamic effects of the EU regions’ market potential conditions, allows for modelling the corresponding effects on technological change and technological catch-up. The findings of the paper provide valuable insight to both theory and policy-making, revealing that, within the integrated EU space, market potential acts as a technology-initiating factor, creating asymmetric effects and leaving a distinct “spatial footprint” with respect to the processes of technological change and technological catch-up.

Keywords: technological change, technological catch-up, market potential, EU regions, nonparametric frontier analysis

JEL classification: C14, O3, R11

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TECHNOLOGIZATION PROCESSES AND SOCIAL AND ECONOMIC GROWTH: MODELING THE IMPACT AND PRIORITIES FOR STRENGTHENING THE TECHNOLOGICAL COMPETITIVENESS OF THE ECONOMY

Taras VASYLTSIV

Professor at the Department of Social and Humanitarian Development of the Regions, Dolishniy Institute of Regional Research of the National Academy of Sciences of Ukraine, Lviv, Ukraine;

tgvas77@ukr.net

Olha MULSKA

Senior Research Fellow at the Department of Social and Humanitarian Development of the Regions, Dolishniy Institute of Regional Research of the National Academy of Sciences of Ukraine, Lviv, Ukraine

oliochka.mulska@gmail.com

Volodymyr PANCHENKO

Professor at the Department of Pedagogy and Management of Education, Volodymyr Vynnychenko Central Ukrainian State Pedagogical University, Kropyvnytskyi, Ukraine

op_panchenko@ukr.net

Maryana KOHUT

Associate Professor at the Department of International Economic Relations and Marketing, Lviv National Agrarian University, Dubliany, Ukraine

maryana_kohut@i.ua

Volodymyr ZAYCHENKO

Associate Professor at the Faculty of Economics and Management, Central Ukrainian National Technical University, Kropyvnytskyi, Ukraine

zaichenko.v78@gmail.com

Olha LEVYTSKA

Senior Research Fellow at the Department of Social and Humanitarian Development of the Regions, Dolishniy Institute of Regional Research of the National Academy of Sciences of Ukraine, Lviv, Ukraine

o.levytska@gmail.com

Abstract

The methodology of integral assessment of the technological competitiveness state of the economy has been developed, which includes a system of indicators in the areas of the country’s readiness for economy digitization, the quality of innovation activity institutions, the state of digital knowledge dissemination. The integral values of technological competitiveness of the economy for the countries of the European Union and Ukraine have been calculated. A dynamic grouping of countries according to the level of technological competitiveness of the economy has been carried out. Modelling the impact of the parameters of technological competitiveness of the national economy on the basic parameters of social and economic development such as GDP per capita, share of high-tech exports, capital investment and quality of life of population has been realized. The strategic priorities and means of introduction of the collective contractual organizational and institutional system for providing technologization in the processes of social and economic growth of the country (the casestudy of Ukraine) are substantiated.

Keywords: innovation and technological development, competitiveness of the social and economic system, economic integration, prerequisites, factors of technologization

JEL classification: O32, O38, O47, C18, C51

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ANALYSIS OF URBAN CONNECTIVITY EFFECTS OF THE SOUTHERN FEDERAL DISTRICT

Inna MANAEVA

Associate Professor of the Department of World Economy, Belgorod State National Research University, Russia, http://www.bsu.edu.ru

In.manaeva@yandex.ru

Anna TKACHEVA

Assistant of the Department of World Economy, Belgorod State National Research University, Russia, http://www.bsu.edu.ru

atkacheva1993@gmail.com

Abstract

Today, existing urban imbalances in Russia distort the territorial space, demonstrate its insufficient integrity, which leads to high differences in the quality of life of citizens and social instability. In order to make effective and scientifically sound management decisions, it is necessary to understand the mechanisms underlying the functioning of cities, which actualizes the study of the effects of their connectivity in territorial space. The aim of the study is to develop an approach that allows us to determine the effects of urban connectivity in territorial space. The estimation method is based on the calculation of global and local Moran indices to determine the effects of the connectivity of territories by indicators: “population size”, “migration growth”, “volume of shipped products per capita”. The information base was the data of the Federal State Statistics Service, the calculation of distances was carried out according to the data of the automobile portal. The object of the study is the cities of the Southern Federal District, with a population of more than 100 thousand people in 2017. The calculations made it possible to determine the type (direct and reverse) and the strength of inter-territorial relations according to the parameters under consideration: according to the indicator “population size” there is a negative autocorrelation, according to the indicator “migration growth” and “volume of shipped products per capita” – positive autocorrelation. According to the indicator of the volume of shipped products per capita, polarization was revealed: Volgograd and Volzhsky are disconnected from the rest of the group of cities, while they do not have a significant impact on nearby territories. The strongest direct inter-territorial links are identified in the group of leading cities relative to each other. The indicator of «migration growth» observes significant inverse effects, largely Maykop falls into the zone of influence of leading cities.The practical importance lies in the possibility of using the results obtained by regional authorities in developing a strategy for the development of cities and regions in terms of identifying the production clusters of the region.

Keywords: Moran index, spatial autocorrelation, inter-territorial connection, city

JEL classification: R12

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