Month: December 2020

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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GROSS JOB – CREATION AND GROSS JOB – DESTRUCTION DETERMINANTS: EMPIRICAL ANALYSE AT MICRO FIRMS DATA LEVEL

Tadeu LEONARDO

Faculty of Economy – Univercity Jos´e Eduardo dos Santos UJES-Angola

tad.eufeca@hotmail.com

Francisco DINIZ

Centre for Transdisciplinary Development Studies (CETRAD); Quinta dos Prados, 5000-801 Vila Real, Portugal, http://www.cetrad.info/

fdiniz@utad.pt

Abstract

This study analyses gross job-creation and gross job-destruction determinants at the firm level for a panel of Portuguese micro firms across four industry sectors, using the Ordinary Leat Square and Fixed Effect econometrics model to analyse a database consisting on 15.686 micro firms, for time period going from 2010 to 2017. It was found that laggard gross job-creation, assets tangibility, financial leverage, profits and the fact firms belong to the construction sector determines gross job-creation. Regarding gross job-destruction,  its was found that this variable is determined by its laggard variable, firm’s size, worker’s tenure and the fact the firm belongs to the hotels and restaurants sector. Finally, findings suggest that a resource-based approach explains gross job-creation and gross job-creation for micro firms by using microdata. This study contributes to the state of the art on the determinants of employment and firing at micro firms’ level as it investigates the importance of the independent variables in explaining micro firm’s labour demand in Portugal.

Keywords: Gross job-creation, gross job-destruction, micro firms, Portugal

JEL classification: M10, O14, O18, O44

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