DEMOGRAPHIC, GEOGRAPHICAL, AND ECONOMIC ASPECTS AMONG THE GREEK JEWRY, 1919-2019

Nikola YOZGOF-ORBACH

Senior lecturer, Department of Behavioral Sciences, Zefat Academic College, Jerusalem st 11, Zefat, Israel 1320611. Tel: 972-4-692-7866

yozgofo@zefat.ac.il

Abstract

This article discusses demographic, spatial and economic aspects of Greek Jewry in Israel from 1919 to 2019, focusing on its spatial distribution and its demographic processes over the years. This study is based on historicist and interpretive content analysis and on processing and analysis of statistical reports by the Central Bureau of Statistics, as well as analysis of the findings of questionnaires from 2008 and 2019 transmitted among Greek immigrants and their descendants in Israel. The findings show that after the Holocaust, most of the Greek Jews lived in Israel. Many of them settled mainly in urban centers, near the Israeli coastal plain, in the center of the country (Tel Aviv, Bat Yam and Rishon Lezion) or in Haifa. The waves of immigration from Greece to Israel are continuing, but the number of immigrants has diminished greatly over the years. In recent decades, only a few dozen have emigrated to Israel. Demographically Greek Jewry in Israel is characterized by an education rate that is higher than the general average in the country; with a higher level of secularism than the national average; with a low fertility rate compared to other Jewish women in Israel and with a higher  income than the average in Israel. It is also found that among the first generation, only a few hundred are still alive today. It was also revealed that the total number of Greek Jewry today, is 58,238 people and not 10,300 people as shown in the CBS publications of 2018.

Keywords: Jewish Demography, Israel, Greek Jews , Greek immigrants, Jewish Greek Economy

JEL classification:

 pp. 299-313

read more

A MODEL FOR THE JOB DEMAND FORECASTING IN THE ARCTIC ZONE OF THE RUSSIAN FEDERATION BASED ON TIME SERIES

Zhanna PETUKHOVA

Professor, Department of Economics, Management and Organization of Production, Norilsk State Industrial Institute

zh-petukhova@ust-hk.com.cn

Mikhail PETUKHOV

Associate Professor, Department of Information Systems and Technologies, Norilsk State Industrial Institute

mpetukhov@nanyang-uni.com

Igor BELYAEV

Senior Lecturer, Department of Information Systems and Technologies, Norilsk State Industrial Institute

 belyaev@lund-univer.eu

Lyudmila BODRYAKOVA

Associate Professor, Department of Information Systems and Technologies, Norilsk State Industrial Institute

 ln-bodryakova@lund-univer.eu

Abstract

The Russian Federation is the largest country in the world, whose territory includes the Arctic regions. The area of the land territories of the Arctic Zone of the Russian Federation (AZRF) is approximately 3.700,000 km2. The population of the Arctic Zone of Russia is approximately 7 million people, which is equal to 5% of the population of the entire Russian Federation. The purpose of this study is to investigate and analyse regression models for predicting the time series of the number of jobs in the labour market of the Russian Federation, to select an adequate model characterised by a minimum average relative error and a maximum lead time, or to select several adequate models for different forecasting periods: short-term, medium-term and long-term. The study examines the possibilities of predicting the situation in the labour market of the Arctic Zone of the Russian Federation, the demand for specialists in various industries using regression models for forecasting a time series. The simulation was performed using the Statistica software. As a result of the conducted studies, adequate forecasting models were obtained in the time period from 01.01.2020 to 01.01.2021, taking into account the epidemiological situation in the country. Thus, the best model with the smallest error was determined.

Keywords: labour market, regression models, education, autocorrelation function, autoregression.

JEL classification: I15, J11, J01

 pp. 291-298

read more

THE CONTRIBUTION OF COHESION POLICY TO THE DEVELOPMENT AND CONVERGENCE OF THE REGIONS OF THE EUROPEAN UNION

Panagiotis KOUDOUMAKIS

Dr. Civil Engineer

Democritus University of Thrace (DUTh), Department of Civil Engineering, Greece

pkoudoum@civil.duth.gr

George BOTZORIS

Associate Professor, Democritus University of Thrace (DUTh), Department of Civil Engineering, Greece

gbotzori@civil.duth.gr

Angelos PROTOPAPAS

Professor, Democritus University of Thrace (DUTh), Department of Civil Engineering, Greece

aproto@civil.duth.gr

Abstract

The Cohesion Policy’s (CP) contribution to the development and convergence of EU regions is examined by utilizing the most complete historical data about CP payments regionally. Through the implementation of the neoclassical econometric model, the positive contribution, with a room of improvement, of CP to development and convergence of EU regions is substantiated. Moreover, the contribution of the secondary sector is emerging as the most critical. It is argued that the provision of reliable data of the implementation of CP contributes decisively towards reducing the complexity and heterogeneity of results. Also increases their potential to be utilized in assessment and design programs.

Keywords: Cohesion Policy of the European Union, Regional development and convergence, Econometric model, Data reliability and representativeness, Secondary sector

JEL classification: R11, R58, R15

 pp. 277-290

read more