Tag: J21

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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MAPPING CLUSTERS IN CENTRAL AND EASTERN EUROPEAN REGIONS BASED ON FDI, REMITTANCES AND EMPLOYMENT – A SPATIAL STATISTICS GROUPING ANALYSIS

Cristina LINCARU

Dr, FeRSA, Department of Labour Market, National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania

cristina.lincaru@yahoo.de

ORCID ID: 0000-0001-6596-1820

Speranța PÎRCIOG

Dr Scientific Director, National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania

pirciog@incsmps.ro

ORCID ID: 0000-0003-0215-038X

Abstract

Central and Eastern European (CEE) and Visegrad countries transform and develop in different spatial patterns in a global economy. Host labour markets benefit directly from Foreign Direct Investment (FDI) inward flows through jobs creation or increased productivity. On the other side, the labour force rises its geographical mobility and benefits from jobs in FDI’s source countries, sending personal remittances. Global integration marks that the “receipts of remittances have become an important and stable source of funds that exceeds FDI” (indexmundi.com). Are the CEE /Visegrad countries similar concerning their spatiotemporal pattern of FDI inflows? These countries are identical in their development model, described by the coordinates of FDI, remittances and Employment? We applied for 35 European countries from 2013-to 2019 the Similarity check –Grouping Analysis ARC GIS-tool from the Spatially Constrained Multivariate Clustering (Spatial Statistics) family. The FDI inflow as input proves to be more inertial, according to the categories set by EuroVoc. Simultaneously, the FDI inward as output (employment growth or labour productivity growth) differentiate CEE countries next to labour/ human capital mobility as personnel remittances in more heterogeneous categories.

In conclusion, for CEE countries, capital mobility and labour & human capital mobility create different development patterns globally. Therefore, it is not enough to build policies to attract capital (FDI) and attract high human capital.

Keywords: CEE, inward FDI rates, personal remittances receipt as GDP rate, employment rate, Similarity check –Grouping Analysis, spatial statistics

JEL classification: C23, F21, F22, F24, J21, J24, O52

 pp. 67-104

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DETERMINANTS OF EMPLOYMENT SITUATION IN LARGE AGGLOMERATIONS IN INDIA: A CROSS-SECTIONAL STUDY

Sabyasachi TRIPATHI

Department of Economics, Adamas University, Kolkata, India

Abstract

The present paper analyzes the employment situation in different class of cities in urban India. By focussing on 52 large urban agglomerations in India and using latest unit level National Sample Survey data for the year of 2011-12 on employment and unemployment, it investigates the relevant city specific determinants of city-wise work-force participation rate (WPR). Finally, it reviews the current and past employment policies in India. The analyses show that though urban India has been witnessing an increase in the number of total job opportunities, WPR in the large cities have declined over the years. The regression results show that indicators like city-wise average land owned by a person, city-wise percentage of persons receiving any vocational training, percentage of persons currently registered with any placement agency, city size population and city output growth have a positive effect on city-wise WPR. Finally, the paper suggests that education of the worker, vocational training, and placement agencies are needed for successful job creation in the large agglomerations in India.

Keywords: Urban Agglomeration, employment, urban India

JEL classification: R1, J21
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