Tag: R58

STRATEGIC PRIORITIES OF THE NATIONAL POLICY OF THE REPUBLIC OF KAZAKHSTAN ON THE DEVELOPMENT OF REGIONS

Toleu PANIYAZ

Doctoral Student at the Department of Political Science, L.N. Gumilyov Eurasian National University, Nur-Sultan, Republic of Kazakhstan

tpaniyaz@kaiost.cn

Kargash ZHANPEIISSOVA

Professor at the Department of Political Science, L.N. Gumilyov Eurasian National University, Nur-Sultan, Republic of Kazakhstan

zhanp@nuos.pro

Oralbay KABUL

Head of the Department of Philosophy, A. Baitursynov Kostanay Regional University, Kostanay, Republic of Kazakhstan

o.kabul@ust-hk.com.cn

Aigul AMANTAYEVA

Associate Professor at the Department of Philosophy, A. Baitursynov Kostanay Regional University, Kostanay, Republic of Kazakhstan

aamantayeva@tanu.pro

Abstract

The state system of strategic forecasting and planning of the Republic of Kazakhstan is an important tool for the implementation of large-scale global tasks and the development of long-term priorities for the central and regional authorities. The purpose of the study is to identify strategic priorities for the regional development of the Republic of Kazakhstan on the example of the Kostanay region and to verify the connection between regional development within the country and world geopolitics. The study covers the main tasks and achievements of the regional economy development. The authors of the study disclose the main areas for improving monetary and fiscal policy, ensuring macroeconomic stabilisation. The study demonstrates the main issues and opportunities of economic development in various regions of Kazakhstan and proposes measures for the labour market modernisation as the main priority of effective economy development. Thus, the new course of national policy within global challenges requires improving the training of qualified personnel capable of providing labour resources. The main task of regional policy and state strategy is to preserve the country as a single unitary state. This specificity requires effective management of all internal structure elements of the Kazakh society, which is at the stage of systemic modification. The practical significance of the study is due to the visual demonstration of the effectiveness of various regional development theories, their place and role in science and politics.

Keywords: Regional policy, national economy, competitiveness, strategic priorities, concept, diversification

JEL classification: R10, R58, C53

 pp. 83-92

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EFFECTS ON EMPIRICAL ECONOMIC PERFORMANCE IN PROVINCIAL CLUSTER OF THE SOUTHERN SHORE OF THE GULF OF THAILAND

Kiatkajon CHAIRAT

Department of Management, Faculty of Management Technology, Rajamangala University of Technology Srivijaya, Nakhon Si Thammarat, Thailand Corresponding author: Kiatkajon Chairat Tel:+6681 870 0219

fmtkiat@gmail.com

Piya PECHSONG

Department of Management, Faculty of Management Technology, Rajamangala University of Technology Srivijaya, Nakhon Si Thammarat, Thailand

p_piya1@hotmail.com

Abstract

The aim of this paper are analyze the role of spatial concentration of  economic activities and estimate the effect of provincial cluster in the Southern shore of the Gulf of Thailand on economic growth. Panel data from the years 1995-2015 are data that collected for all 4 provinces in provincial cluster. The result show the value of LQ that more than 1 reveal in agricultural (LQAgricultural) and industry sector (LQIndustry). While, the analyzed the effect of spatial concentration of economic activities in provincial cluster present agricultural sector (LQIndustry) and service sector (LQService) variables significant on economic performance. The case of hotels and restaurants (LQHotel) which is sub economic activities of service sector be significant on economic growth. These results presence the role of externalities as the factor component in the operation of the economic activities in provincial cluster of the Southern shore of the Gulf of Thailand.

Keywords: Agglomeration economies, Spatial concentration, Provincial cluster

JEL classification: R11, R12, R58

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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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