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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ASSESSMENT OF INNOVATIVE POTENTIAL AS A CRITERION FOR EVOLUTION OF THE MESOECONOMIC SYSTEM

Olga MYZROVA

D.Sc. in Economics, Professor; Department of Economic Security and Innovation Development, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

myzrova.stus@bk.ru

Larisa SERDYUKOVA

D.Sc. in Economics, Professor; Department of Economic Security and Innovation Development, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

serdyukova.stus@ro.ru

Elena LABAZNOVA

Ph.D. in Economics, Associate Professor; Director of Institute of Social and Production Management, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

labaznova.stus@ro.ru

Abstract

Under current conditions of economic development a constant and timely research into the ongoing internal and external changes, affecting the accumulation of innovative potential, as well as degree of its utilization, will speed up the processes connected with upgrading competitive advantages and economic growth rate. The aim of the work is offer methodological tools employed to estimate the innovative potential of the mesoeconomic system as a criterion which ensures development in a given direction. The results of research proved that the ability and determination to develop innovative activity is determined by the accumulated aggregate potential of the mesoeconomic system as a whole, which can be estimated across the sections including infrastructure and legal regulations, innovation and production, education and research, as well as finance and investment. The results of research were tested based on the analysis of innovation potential of Saratov region as a mesoeconomic system.

Keywords: Innovation potential, infrastructure and law, production and innovation, scientific and educational, investment and finance

JEL classification: O10, O52

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PATTERNS OF SPATIAL DEVELOPMENT: EVIDENCE FROM RUSSIA

Veronika MASLIKHINA

Ph.D. in Economics, Associate Professor of  Department of Management and Law, Volga State University of Technology, Yoshkar-Ola, Russia

Maslikhina_nika@mail.ru

Abstract

The aim of the paper is to analyze the trends of spatial inequality in Russia in 1994-2015 based on the convergence concepts. Russia faced the problem of inter-regional inequality as well as most countries. The situation is aggravated by the external economic and domestic factors in recent years. The fall in energy prices and Western sanctions had a negative impact on the country’s economic development. Russia is compelled to take into account geopolitical interests in the implementation regional policies in some regions (the Far East, the Crimea, the Kaliningrad region, the republics of the North Caucasus, the Arctic). Many regional budgets have budget deficit, highly debt load. They optimize spending on the social sphere and reduce investments in the real economy. Russia is emerging from the crisis despite the difficult situation. A review of the theoretical positions of the four types of convergence concepts (σ-, β-, γ-, ρ-convergence) was made. The spatial inequality evaluation was carried out on the basis of σ-convergence and absolute β-convergence concepts. The Williamson coefficient, the Hoover index, the Theil index and the Atkinson index were used to analyze spatial inequality based on the σ-concept. Differentiation has increased over the analyzed period, but gap decreased after 2005. The  convergence speed  is 1.79% in Russia. Regions with a low initial level of development have higher growth rates than regions with a higher initial level of development

Keywords: spatial inequality, spatial development, β-convergence, σ-convergence, Russia

JEL classification: D63, O52, R1, R58
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