Tag: C18

MEASURING THE PERFORMANCE OF EXPORT ECONOMIC BRANCHES LOCATED INSIDE CLUSTERS: EVIDENCE FROM GREECE

Andreas GKOUZOS

Department of Regional and Economic Development, School of Applied Economics and Social Sciences, Agricultural University of Athens, Amfissa, Greece

agkouzos@aua.gr

ORCID ID: 0000-0003-3905-9205

Manolis CHRISTOFAKIS

Department of Business Administration, School of Business, University of the Aegean, Chios, Greece

mchri@aegean.gr

ORCID ID: 0009-0005-7416-0378

Abstract

The paper investigates the impact of clusters on the performance of export economic branches in Greek NUTS-2 regions for 2008 and 2018. The study employs a Cluster Index, statistical techniques and Exploratory Spatial Data Analysis, unveiling the intricate relationship between clusters and the competitiveness of export-driven economic branches. The findings illuminate the pivotal role clusters play in shaping export outcomes, indicating that regions in both mainland and insular space host multiple clusters that significantly influence export performance of economic branches. The outcomes of the research offer valuable insights for policy formulation, emphasising the need for custom-tailored strategies that harness sectoral-spatial patterns. In a broader context, the study’s insights provide valuable implications for enhancing overall economies by leveraging agglomeration effects and promoting growth in export-driven branches. This study contributes to a deeper understanding of the complex dynamics between clusters and export performance, offering a roadmap for policymakers and stakeholders to foster economic advancement.

Keywords: clusters, export economic branches, Greek NUTS-2 regions, Cluster Index, economic base theory

JEL classification: C18, R12, R58

pp. 71-84

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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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DETECTING INTERREGIONAL PATTERNS IN TOURISM SEASONALITY OF GREECE: A PRINCIPAL COMPONENTS ANALYSIS APPROACH

Dimitrios TSIOTAS

Adjunct Lecturer, Department of Regional and Economic Development, Agricultural University of Athens, Greece, Nea Poli, Amfissa, 33100, Greece, Department of Planning and Regional Development, University of Thessaly, Pedion Areos, Volos, 38334, Greece, tsiotas@aua.gr

tsiotas@uth.gr

Thomas KRABOKOUKIS

Ph.D. candidate, Department of Planning and Regional Development, University of Thessaly, Pedion Areos, Volos, 38334, Greece

tkrabokoukis@uth.gr

Serafeim POLYZOS

Professor, Department of Planning and Regional Development, University of Thessaly, Pedion Areos, Volos, 38334, Greece

spolyzos@uth.gr

Abstract

Tourism seasonality is a complex phenomenon incorporating a temporal, a spatial, and a socioeconomic (ontological) dimension. This paper builds on principal component analysis (PCA) to provide an integrated methodological framework for studying all three dimensions of tourism seasonality. The proposed method classifies the seasonal patterns of tourism demand of the Greek prefectures into regional groups, which are examined in terms of their geographical and socioeconomic characteristics. The study aims to configure distinguishable seasonal profiles in terms of their socioeconomic attributes. The proposed method is applied to monthly data of tourism overnight stays for the period 1998-2018 and detects seven principal components described by diverse socioeconomic attributes. The overall analysis proposes a useful tool for tourism management and regional policy, it advances PCA to be used as a tool of regional classification, and it incorporates a multivariate consideration based on the socioeconomic evaluation of the principal components. The proposed methodology develops an integrated framework dealing with complexity describing socioeconomic research and particularly tourism seasonality.

Keywords: regional development; seasonal classification; spatiotemporal patterns; pattern recognition.

JEL classification: C18, C38, O52, R10, R58, Z30

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