The Attractiveness for Investments of Urban Municipalities in the Warmińsko-Mazurskie Voivodship

Natalia Świdyńska

doi:10.56583/br.368

Published : 2018-10-29

Vol. 16 No. 2 (2018)

The Attractiveness for Investments of Urban Municipalities in the Warmińsko-Mazurskie Voivodship

Natalia Świdyńska

DOI: https://doi.org/10.56583/br.368

Abstract

This study has been carried out in order to identify determinants of potential investment attractiveness of urban municipalities. To this end, urban municipalities in the Warmińsko-Mazurskie Voivodship in Poland were submitted to analysis. The data, as of 2015, were obtained from the Bank of Local Data maintained by the Polish Central Statistical Office (GUS ). For each of the five microclimates which are expected to shape the level of potential investment attractiveness, a synthetic index that manifests a degree of the development of a given microclimate was calculated. The calculations relied on Hellwig’s development pattern method. A stepwise regression method was applied to identify the microclimates that most strongly influence potential investment attractiveness. The application of the above methods led to the construction of an equation which expresses the potential investment attractiveness of urban municipalities. The equation implicated that the level of potential investment attractiveness of an urban municipality depended significantly on the market of human resources, technical infrastructure, administration and market microclimates. The subsequent step was to determine the prospective development of the market microclimate. To achieve this purpose, a logistic function was applied. The results suggest that the level of development of market microclimate in most analyzed urban municipalities will be declining over the following six years.

Keywords:

investment attractiveness, urban municipalities, Hellwig’s development pattern method

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Świdyńska, N. (2018). The Attractiveness for Investments of Urban Municipalities in the Warmińsko-Mazurskie Voivodship. Regional Barometer. Analyses & Prognoses, 16(2), 71–80. https://doi.org/10.56583/br.368

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