Month: December 2021

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

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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

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TERRITORIAL DISTRIBUTION OF LAND RESOURCE POTENTIAL OF AGRICULTURAL USE IN WORLD COUNTRIES

Natalia TRUSOVA

Professor, Department of Business Consulting and International Tourism, Dmytro Motornyi Tavria State Agrotechnological University

nv.trusova6607@tanu.pro

Sergey KALCHENKO

Professor, Department of Business Consulting and International Tourism, Dmytro Motornyi Tavria State Agrotechnological University

skalchenko@uoa.com.nl

Nataliia POCHERNINA

Associate Professor, Department of Business Consulting and International Tourism, Dmytro Motornyi Tavria State Agrotechnological University

natali.pochernina@uoa.com.nl

Oleg KRAVETS

Associate Professor, Department of Management, Dmytro Motornyi Tavria State Agrotechnological University

ov.kravets@lund-univer.eu

Yurii HURBYK

Associate Professor, Department of Economics and Hotel and Restaurant Business, Bogdan Khmelnitsky Melitopol State Pedagogical University

prof.hurbyk@nanyang-uni.com

Abstract

The article considers the territorial distribution of agricultural land and resource potential. From the standpoint of implementing the integrated value of the ecological and economic component of land resources, a methodological approach to the monetary valuation of agricultural land as one of the regulatory tools of territorial distribution of land in the world. The systematic approach to the formation of market turnover of agricultural lands and the formation of land resource potential of agricultural enterprises is substantiated. Indicators for assessing the land resource potential of agricultural use from the standpoint of the development of land relations in agriculture are presented. The method of normative monetary valuation of a separate agricultural land plot has been modified by changing its estimated value by an integrated indicator. The indicators for assessing the efficiency of land use are systematized. The territorial distribution of the main categories of lands in the world is analyzed. The share of arable land suitable for growing crop products in the world is determined. The dynamics of agricultural land areas by regions of the world and their reserve volume suitable for the development in the world are given. The ecological and agrochemical condition of the wholesale coverage of agricultural lands in Ukraine and in the natural and climatic zones of Polissya, Forest-Steppe and Steppe has been determined. The value of agricultural land in Europe and Ukraine is estimated.

Keywords: agricultural lands, agricultural production, monetary valuation of land plots, crop products, ecology.

JEL classification: Q12, Q13, Q16, Q17

 pp. 257-276

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