Posts Tagged ‘panel data’

EXPLORING DYNAMICS BETWEEN THE SOCIOECONOMIC SECTORS FROM NORTH OF PORTUGAL AND GALICIA

Vítor João Pereira Domingues MARTINHO

Coordinator Professor with Habilitation, Agricultural School (ESAV) and CERNAS-IPV Research Centre, Polytechnic Institute of Viseu (IPV), Portugal; Centre for Transdisciplinary Development Studies (CETRAD), University of Trás-os-Montes and Alto Douro (UTAD), Portugal

vdmartinho@esav.ipv.pt

Jesyca Salgado BARANDELA

Facultad de Ciencias Empresariales y Turismo, Universidad de Vigo, España

j.salgado@uvigo.es

Abstract

Cultural and institutional differences could difficult to strengthen the relationships between regions from diverse countries. This situation is a little true for the cooperation among the North of Portugal and Galicia, but present and recent past show that there is promising news for the future. In this scenario, the main objective of this work is to identify the dynamics between the economic sectors of these two regions, stressing the advantages from a closer cooperation. To achieve these objectives, data from the Eurostat for the Portuguese and Spanish NUTS 3 were considered. These data were explored through panel data models from the Keynesian and Neoclassical models, allowing for spatial effects. The main findings stress that there are interesting catching-up effects between the North of Portugal and Galicia that could be explored deeper, namely between the manufacturing industry.

Keywords: Verdoorn law, Convergence Theory, Panel data.

JEL classification: C23, E12, E13, O47, R11

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DETERMINANTS OF INCLUSIVE GROWTH IN IRANIAN REGIONS (SURE APPROACH IN PANEL DATA)

Majid FESHARI

Assistant Professor of Economics, Kharazmi University

majid.feshari@gmail.com

Mojtaba VALIBEIGI

Assistant Professor of Urban Planning, Buein Zahra Technical University

Abstract

The concept of inclusive growth is one of the important issues in the urban economics literature and has been considered in empirical studies recently. For this purpose, the aim of this paper is to investigate the relationship between income inequality and GDP growth in Iranian provinces over the period of 2000-2014. To conduct this study, the econometric model has been estimated by applying seemingly unrelated regression in panel data for 30 Iran’s provinces. The main findings of this paper shows that the Gini coefficient as a proxy for income inequality, unemployment rate have negative impact and initial value of Gini coefficient has positive and significant effect on the growth of GDP respectively. The overall conclusion of this study suggests that inequality of Iranian provinces can be declined by improving employment and growth of GDP in Iranian provinces.

Keywords: Inclusive Growth, GDP Growth, SURE Approach, Panel Data

JEL classification: C23,O15,R11

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GREAT EXPECTATIONS FOR TOURISM AND REGIONAL DEVELOPMENT IN ROMANIA: WHY ARE NOT THEY MET?

Tudorel ANDREI
The Bucharest Academy of Economic Studies, 6, Romana Square, district 1, Bucharest, postal code: 010374, postal office 22, Romania, Phone: +4.021.319.19.00, Fax: +4.021.319.18.99
andreitudorel@ase.ro

Constantin MITRUT
The Bucharest Academy of Economic Studies, 6, Romana Square, district 1, Bucharest, postal code: 010374, postal office 22, Romania, Phone: +4.021.319.19.00; Fax: +4.021.319.18.99
cmitrut@ase.ro

Daniela-Luminita CONSTANTIN
The Bucharest Academy of Economic Studies, 6, Romana Square, district 1, Bucharest, postal code: 010374, postal office 22, Romania, Phone: +4.021.319.19.00; Fax: +4.021.319.18.99
danielaconstantin_2005@yahoo.com

Bogdan OANCEA
“Nicolae Titulescu” University,Calea Văcăreşti, Nr. 185, Sector 4, postal code 040051, Bucharest, Romania, Phone: +4.021.330.90.32, Fax: +4.021.330.86.06
bogdanoancea@univnt.ro
(corresponding author)

Abstract
Despite the high potential of the Romanian tourism competitiveness and reducing interregional disparities, the results obtained in the last fifteen-twenty years are far below expectations. This paper aims to identify national and regional characteristics of tourism in Romania during the period 1990 to 2010 and to evaluate the most important factors that influenced foreign tourists’ arrivals in Romania and the departures of Romanian tourists abroad. As infrastructure is one of the main obstacles to tourism development we have used data from development regions in order to explore the changes in the concentration of accommodation capacities. We have developed econometric models estimated on panel data to assess the implications of road infrastructure development and accommodation capacity utilization on economic results of tourism. The results indicate the important relationship between the territorial distribution of road infrastructure and the concentration of accommodation capacity.

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