THE IMPACT OF CHANGE ON REGIONAL ECONOMIC: PARAMETERS AND DEPENDENCIES

Inna MANAEVA

Doctor of Economics, Professor of the Department of World Economy, Belgorod State National Research University, Russia, http://www.bsu.edu.ru

In.manaeva@yandex.ru

Angela SHVETSOVA

Candidate of Economic Sciences, Associate Professor of the Department of World Economy, http://www.bsu.edu.ru

mikhajjlovaangela@yandex.ru

Abstract

Research on the adaptation of economic growth dynamics to climate change is important for sustainable development on local to global scales. It is important to quantify the balance between two interrelated systems to generate effective knowledge to create a favorable environment in conditions of rapid economic development. The purpose of the work is to develop and test a methodology for assessing the adaptation of regional economic growth to climate change in the regions of the Russian Federation. The author’s methodology is based on obtaining the coefficient of adaptation (KA) of economic growth to climate change in the regions of the Russian Federation. The analysis of the autocorrelation КА of the spacecraft within the borders of the federal districts by calculating the global and local Moran’s index makes it possible to determine the similarities and differences of the adaptation process in neighboring regions. The following indicators were identified for the study: a) economic sphere: GRP per capita, industrial production index, real monetary incomes of the population, the volume of investments in fixed assets per capita; b) climate: average annual air temperature, the amount of precipitation. Information base: data from the Federal State Statistics Service and the Weather and Climate portal. The object of research is the regions of the Central Federal District, the Southern Federal District and the Siberian Federal District. Study period: 2000, 2003, 2009-2021. Periods of decrease and growth of the coefficient of adaptation, a decrease in the differentiation of regions by the value of the KA empirically have been identified. The calculations performed demonstrate spatial heterogeneity. The indicators of the coefficient of adaptation in the southern regions and parts of the regions of central Russia are significantly higher, which indicates a more coordinated development in these regions. Regions demonstrating a relatively higher level of adaptation to economic growth and climate change have a more differentiated economy and a favorable geographical location. The results obtained can be used to develop and implement climate risk management policies and analyze the economic costs of climate change impacts.

Keywords: Region, Climate, Ecology, GRP, Communication coordination coefficient, Economic development, Air temperature, Precipitation, Moran’s index, Autocorrelation

JEL classification: R12

pp. 37-55

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MEASURING THE PERFORMANCE OF EXPORT ECONOMIC BRANCHES LOCATED INSIDE CLUSTERS: EVIDENCE FROM GREECE

Andreas GKOUZOS

Department of Regional and Economic Development, School of Applied Economics and Social Sciences, Agricultural University of Athens, Amfissa, Greece

agkouzos@aua.gr

ORCID ID: 0000-0003-3905-9205

Manolis CHRISTOFAKIS

Department of Business Administration, School of Business, University of the Aegean, Chios, Greece

mchri@aegean.gr

ORCID ID: 0009-0005-7416-0378

Abstract

The paper investigates the impact of clusters on the performance of export economic branches in Greek NUTS-2 regions for 2008 and 2018. The study employs a Cluster Index, statistical techniques and Exploratory Spatial Data Analysis, unveiling the intricate relationship between clusters and the competitiveness of export-driven economic branches. The findings illuminate the pivotal role clusters play in shaping export outcomes, indicating that regions in both mainland and insular space host multiple clusters that significantly influence export performance of economic branches. The outcomes of the research offer valuable insights for policy formulation, emphasising the need for custom-tailored strategies that harness sectoral-spatial patterns. In a broader context, the study’s insights provide valuable implications for enhancing overall economies by leveraging agglomeration effects and promoting growth in export-driven branches. This study contributes to a deeper understanding of the complex dynamics between clusters and export performance, offering a roadmap for policymakers and stakeholders to foster economic advancement.

Keywords: clusters, export economic branches, Greek NUTS-2 regions, Cluster Index, economic base theory

JEL classification: C18, R12, R58

pp. 71-84

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REGIONAL SPECIALIZATION IN THE CONTEXT OF DEINDUSTRIALIZATION: THE CASE OF TÜRKİYE

Aysu UZSAYILIR

Dr., Department of Urban and Regional Planning, Istanbul Technical University
Orcid: 0000-0003-3920-4062

aysukara@itu.edu.tr

Tüzin BAYCAN

Professor, Department of Urban and Regional Planning, Istanbul Technical University
Orcid: 0000-0001-6073-1188

tbaycan@itu.edu.tr

Abstract

Deindustrialization is experienced in different forms and more deeply in developing countries where regional inequalities, an important component of deindustrialization, impose more structural and historical conditions than in developed countries. Deindustrialization has a deeper causality and impact especially in countries whose economies are based on agriculture and which begin to deindustrialize with global effect while their industrial development continues. The aim of this study is to investigate the regional nature of deindustrialization within the center-periphery relationship at the global and country level. Assuming that the international center-periphery relationship has similar characteristics on a national scale, in this study the regional character of deindustrialization at the level of sectoral specializations is investigated in Türkiye NUTS 2 regions by performing a long-term Location Quotient (LQ) analysis. The main results of the analysis demonstrate that: (i) while Türkiye is an agricultural society and its industrial development continues, it has entered the deindustrialization process with globalization effect; (ii) the pattern of deindustrialization can be exemplified by the regional cluster centered on Istanbul in the Northwest which shows high industrial specialization; (iii) agricultural production dominates throughout the country; and (iv) there is a tendency for industrial development to stagnate and for a direct transition from agriculture to services.

Keywords: Deindustrialization, Labor Market, Regional Specialization

JEL classification: J01, J08, J21, N90, O11, R12

 pp. 33-42

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