Posts Tagged ‘Tourism’

PATTERNS OF MAINLY TOURISM SECTORS AT LOCAL LEVEL BY EMPLOYEE’S CHARACTERISTICS USING GIS MULTIVARIATE CLUSTERING ANALYSIS – ROMANIA CASE STUDY

Cristina LINCARU

Dr, FeRSA, Department of Labour Market, National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania ORCID ID: 0000-0001-6596-1820

cristina.lincaru@yahoo.de

Speranța PÎRCIOG

Dr, Scientific Director, National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania ORCID ID: 0000-0003-0215-038X

pirciog@incsmps.ro

Draga ATANASIU

Senior Researcher, National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania ORCID ID: 0000-0002-9695-8592

incsmps1@incsmps.ro

Cristina STROE

Senior Researcher, Department of Social Policies, National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania ORCID ID: 0000-0001-8384-6084

cristinaradu@incsmps.ro

Vasilica CIUCĂ

Dr, Dr, General Director, National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania ORCID ID: 0000-0003-4687-6377

silviaciuca@incsmps.ro

Adriana GRIGORESCU

Dr., Department of Public Management, National University of Political Studies and Public Administration,  Correspondent Member of Academy of Romanian Scientists, Bucharest, Romania ORCID ID: 0000-0003-4212-6974

adrianagrigorescu11@gmail.com

Abstract

The tourism sector, before the Corona Strikes, works as a inclusive development engine for many countries’ economies and labour markets. In a global world, with increasing travel opportunities, tourism offers both labours intensive and knowledge-intensive activities, across many economic sectors. Tourism is a spatially dependent sector and also a tradable one. The Methodology for tourism statistics (Eurostat 2014),  Tourism Satellite Accounts (TSA 2010) and The International Recommendations for Tourism Statistics 2008 (IRTS 2008) differentiate the “mainly tourism” industries at four digits. We identify the natural cluster by number and pattern, at 3189 local spatial units (NUTS 5) by eight attribute variable employees: gender (male, female), age (youth, adult and aged) and education detained level (low, medium and high). Sectors are detailed at two digits only (H51- Air transport, I55 – Hotels and other accommodation facilities and N79-Activities of tourist agencies and tour operators; other reservation services and tourist assistance). Romanian National Institute of Statistics provides 2011 Census data. We apply the Multivariate Clustering Analysis with K Means algorithm as a Spatial Statistical Tool in Arc Gis Pro 2.3, an unsupervised machine learning an Artificial Intelligence technique, appropriate for Big Data. Clusters resulted illustrates natural hidden patterns of local labour markets pooling in the sense of Urban& Jacobian economies, but also some insight regarding the Morettian externalities sources. These results are useful for Regions Smart Specialisation Strategies development of human resources & talents to increase innovation capabilities and inclusive job creation, but also for a prompt recovery post-Covid Pandemic.

Keywords: tourism, labour force characteristics, Multivariate Clustering Analysis, local labour markets, regional specialisation, education level, age and gender analysis

JEL classification: J210, C38, R23

read more

TOURISM AND ECONOMIC GROWTH NEXUS IN INDONESIA: THE DYNAMIC PANEL DATA APPROACH

Elvina PRIMAYESA

Faculty of Economics and Business, Diponegoro University, Semarang, Indonesia, Faculty of Economics, Andalas University, Padang, Indonesia

yesa040486@gmail.com

Wahyu WIDODO

Faculty of Economics and Business, Diponegoro University, Semarang, Indonesia

wahyuwid2002@live.undip.ac.id

F.X. SUGIYANTO

Faculty of Economics and Business, Diponegoro University, Semarang, Indonesia

fxsugiyanto09@gmail.com

Abstract

The positive impact of tourism on economic growth is generally influenced by various indicators at both global and national levels. However, the question remains whether tourism encourages economic growth or vice versa. This paper examines the importance of tourism as a conditioning factor for economic growth in Indonesia. The validity of the relationship between tourism and economic growth can be examined by using the dynamic panel data estimation approach and convergence analysis to provide evidence of the impact of tourism on economic growth in Indonesia. In accordance with the initial hypothesis on tourism and economic growth, the result shows that the former can encourage the latter, although there is no indication of convergence among provinces in Indonesia. Therefore, if the supply characteristics of the tourism sector are improved, then it can be considered as an alternative source for stimulating economic growth in Indonesia.

Keywords: Economic Growth, Tourism, Dynamic Panel Data, Convergence

JEL classification: C23, L83, O40, O53
read more

TOURISM DEMAND AND TAX RELATIONSHIP IN ISLAMIC REGIONS

Majid FESHARI

Assistant Professor of Kharazmi University province, Iran.
majid.feshari@gmail.com

Ali AKBAR TAGHIPOUR

Assistant Professor of Damghan University
taghipour.a9@gmail.com

Mojtaba VALIBEIGI

Assistant Professor of Buein Zahra Technical University, Buein Zahra city, Qazvin province, Iran.
M.valibeigi@bzte.ac.ir
Mojtaba.valibeigi@gmail.com

Abstract

The relationship between tax and tourism receipts is one of the crucial issues in tourism literature and has been considered empirically in recent years.  For this purpose, the main objective of this paper is to determine the long-run relationship between tax ratio to GDP and tourism receipts in OIC selected countries during the 1990-2014. The econometric model for these countries has been estimated by applying dynamic OLS approach. The main findings of this study reveal that tax ratio has negative effect on the tourism receipts and GDP per capita and its growth have positive and significant effect on the tourism receipts in Islamic selected countries. Hence, the main policy implication of this paper is that the tourism managers in these countries should adopts policies to improve the tax revenue through the increase of product capacity. Moreover, the increasing of GDP per capita can improve the tourism receipts in these countries.

Keywords: Tourism, Taxation, Tax Incentives, GDP Per Capita, DOLS Approach

JEL classification: C23, L83, O49