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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IS THERE A LONG RUN NEXUS AMONG MENTAL DISORDER AND SOCIO-ECONOMIC INDICATORS? : EXPERIENCES FROM AN ECONOMETRIC STUDY ACROSS 40 COUNTRIES

Ramesh CHANDRA DAS

Associate Professor, Department of Economics, Vidyasagar University, Midnapur 721102, West Bengal, India

ramesh051073@gmail.com

(Corresponding author)

Sovik MUKHERJEE

Assistant Professor, Department of Economics, Faculty of Commerce and Management Studies, St. Xavier’s University, Kolkata, India

sovik1992@gmail.com

Abstract

Are there evidences of an association between poor mental health and the experience of poverty and socio-economic deprivation? To explore it, we try to relate all sorts of mental disorders with the per-capita GDP (PCGDP), the level of per-capita CO2 emissions as a measure of pollution (PCCO), usage of Internet (IU) as a measure of social behaviour, and Globalization Index (GI), for all the major countries in the world. Applying Vector Autoregression (VAR) model the results reveal that most of the high income countries in the selection have produced the result that mental disorder is cointegrated to the four socio economic indicators. The short run causality tests unambiguously backs up the sustainability of the long run cointegration relations derived for countries like Argentina, Australia, Canada, France, Germany, and UAE. Hence, mental disorder is not a problem to the lower income countries but to the high income countries as well.

Keywords: Mental health, poverty gap, CO2 emissions, terrorism, internet, gender, globalization

JEL classification:

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IMPACT OF AUTO INDUSTRY AND ITS SPATIAL SPILLOVER EFFECT ON ALABAMA’S ECONOMIC GROWTH AND DEVELOPMENT

Sooriyakumar Krishnapillai

Department of Agricultural Economics and Rural sociology, Auburn University, Auburn, U.S.A & Department of Agricultural Economics,University of Jaffna, Sri Lanka

kzs0008@tigermail.auburn.edu

Henry Kinnucan

Department of Agricultural Economics and Rural sociology, 213 Comer Hall, Auburn University, Auburn, AL 36849, U.S.A

kinnuhw@auburn.edu

Abstract

This paper studies the effect of automobile production on Alabama’s economy. A spatial panel simultaneous equations model was developed using county data.  The empirical findings suggest that automobile production increase the employment growth and per capita income growth of the counties which are closer to the automobile plant while other things equal, but reduce the population growth with closer distance to the automobile plant while other things equal. This may be due to the competition between automotive suppliers clustered around the automobile plant and real estate builders for land and other infrastructure facilities. This study also finds that jobs follow people and also people follow jobs.  The existence of spatial lag indicates that growth of population; employment and per capita income are not only dependent on the characteristics of that county, but also on those of its neighbors.  These interdependences provide the need of economic development policy coordination among the counties.

Keywords: Spatial effect, Automobile production, Spatial panel simultaneous equations model, Generalized Spatial Three-Stage Least Squares

JEL classification: R300, O120, O150

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