Tag: O47

SPATIAL LINKAGE BETWEEN QUALITY OF INSTITUTION, NATURAL RESOURCES MANAGEMENT WITH GDP PER CAPITA IN D8 COUNTRIES (DURBIN MODEL IN PANEL DATA)

Farzaneh KHALILI

Assistant Professor of Economics, Islamic Azad University, Abhar Branch (Corresponding Author)

farzaneh_khalili2001@yahoo.com

Majid AFSHARIRAD

Associate Professor of Economics, Faculty of Economics, Kharazmi University, Tehran, Iran

 m.feshari@gmail.com

Abdolrahim HASHEMI DIZAJ

Assistant Professor of Management and Economics, Mohaghegh Ardabili University

a.hashemi@uma.ac.ir

Mehdi YAZDANSHENAS BAHOGHOGH

Ph.D Candidate of Economics, Islamic Azad University, Abhar Branch

nnn_yazdanshenas@yahoo.com

Abstract

Suitable economic growth has always been one of the priorities of any economic system. Meanwhile, economists have tried to achieve this goal by determining the factors affecting economic growth. At first, the main emphasis was on the physical capital and labor force, and the natural resources management. However, institutional factors, including natural resource management, emerged as a determinant of economic growth. In this regard, in this paper, the effect of institutions and management of natural economic resources on GDP per capita as a proxy for economic growth have been investigated by applying spatial regression models and Durbin model in the D8 countries during the period of 1996-2019. The empirical results of model estimation showed a positive and significant effect of natural resource management on economic growth of these countries. Moreover, the effect of physical capital, human capital, foreign investment accumulation and natural resources on economic growth is positive and significant. In addition, the effect of neighborhood and spillover impact of institutional quality on the economic growth has been confirmed in D8 countries.

Keywords: GDP Per Capita, Institutions Quality, Natural Resource Management, D8 Countries.

JEL classification: C23, O47, I25

 pp. 239-256

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TECHNOLOGIZATION PROCESSES AND SOCIAL AND ECONOMIC GROWTH: MODELING THE IMPACT AND PRIORITIES FOR STRENGTHENING THE TECHNOLOGICAL COMPETITIVENESS OF THE ECONOMY

Taras VASYLTSIV

Professor at the Department of Social and Humanitarian Development of the Regions, Dolishniy Institute of Regional Research of the National Academy of Sciences of Ukraine, Lviv, Ukraine;

tgvas77@ukr.net

Olha MULSKA

Senior Research Fellow at the Department of Social and Humanitarian Development of the Regions, Dolishniy Institute of Regional Research of the National Academy of Sciences of Ukraine, Lviv, Ukraine

oliochka.mulska@gmail.com

Volodymyr PANCHENKO

Professor at the Department of Pedagogy and Management of Education, Volodymyr Vynnychenko Central Ukrainian State Pedagogical University, Kropyvnytskyi, Ukraine

op_panchenko@ukr.net

Maryana KOHUT

Associate Professor at the Department of International Economic Relations and Marketing, Lviv National Agrarian University, Dubliany, Ukraine

maryana_kohut@i.ua

Volodymyr ZAYCHENKO

Associate Professor at the Faculty of Economics and Management, Central Ukrainian National Technical University, Kropyvnytskyi, Ukraine

zaichenko.v78@gmail.com

Olha LEVYTSKA

Senior Research Fellow at the Department of Social and Humanitarian Development of the Regions, Dolishniy Institute of Regional Research of the National Academy of Sciences of Ukraine, Lviv, Ukraine

o.levytska@gmail.com

Abstract

The methodology of integral assessment of the technological competitiveness state of the economy has been developed, which includes a system of indicators in the areas of the country’s readiness for economy digitization, the quality of innovation activity institutions, the state of digital knowledge dissemination. The integral values of technological competitiveness of the economy for the countries of the European Union and Ukraine have been calculated. A dynamic grouping of countries according to the level of technological competitiveness of the economy has been carried out. Modelling the impact of the parameters of technological competitiveness of the national economy on the basic parameters of social and economic development such as GDP per capita, share of high-tech exports, capital investment and quality of life of population has been realized. The strategic priorities and means of introduction of the collective contractual organizational and institutional system for providing technologization in the processes of social and economic growth of the country (the casestudy of Ukraine) are substantiated.

Keywords: innovation and technological development, competitiveness of the social and economic system, economic integration, prerequisites, factors of technologization

JEL classification: O32, O38, O47, C18, C51

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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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