Suchergebnisse

Purpose: The main purpose of this study is to identify and analyze the impact of economic space diversity on economic development processes. Design/Methodology/Approach: The paper uses the method of literature studies. The data underwent quantitative analysis with the use of descriptive and parametric (r-Pearson correlation index) statistics. The study analysed the structure, dynamics and intensity indices, as well as the r-Pearson correlation index. Findings: The paper identifies the features of space (i.e. limitation, resistance and diversification). Space can influence development processes by influencing sales revenues and production costs of enterprises. Space is created by places of varied value for people, therefore the economy develops unevenly in space. Practical Implications: The results of the research can be used by decision-makers to shape public aid instruments. The results of the conducted research indicate that in the next programming period there will be a further reduction in the maximum intensity of regional investment aid for Polish regions, which creates the need to seek new development impulses. Originality/Value: The paper shows the simultaneous existence of two processes, i.e. narrowing of the development gap between Polish and EU regions and deepening of regional development disparities in Poland. There is no consensus in the literature on the existence and nature of a link between public aid and economic development processes. This study shows that other factors had a stronger impact on the pace of regional development in Poland than the maximum regional aid intensity. ; peer-reviewed

This paper aimed to identify and analyse the needs for local government investments indicated by respondents from selected communes of the Lublin voivodeship, depending on the level of socio-economic development of the analysed units. Research hypothesis H1, stating that there is a relationship between the level of local development and the need for local government investment indicated by respondents, was corroborated. The research covered 16 communes. The research period was in general the year of 2018 (in the absence of data, the latest available information was used). The surveys showed there was an average correlation between the local development level and the need for local authorities to create green areas, tourist infrastructure and expenditure on the development of investment land. An average negative correlation between the level of local development and the need for investing in roads and pavements was also identified. This indicates a partial confirmation of hypothesis H1

Purpose: The theoretical purpose of this study was to determine the essence of smart specialisation in local administrative units, together with the identification of its impact on the level of entrepreneurship and socio-economic development of spatial units. The empirical purpose was to indicate the relationship between the level of development of intelligent organisations (IO) in counties and the degree of entrepreneurship intensity. Design/Methodology/Approach: The paper uses the method of literature studies, the standardised sums method, the weighted correlation method and cartographic analysis. Findings: Intelligent specialisation in a local administrative unit (LAU) can contribute to the development of entrepreneurship and accelerate the socio-economic development of the area. Investment attractiveness is more important for stimulating the development of entrepreneurship than intelligent organisation in local administrative units at the county level in Poland. Practical Implications: Results of the research can be used by local administrative units to shape the development strategy of an intelligent organization as well as of a smart specialisation. They can provide valuable practical guidance and synergies. Originality/Value: The paper identifies key features of the smart specialization strategy. The paper defines the intelligent organizations development level index in local administrative units of the county level in Poland in 2018 based on a set of variables. A method of constructing typologies of local administrative units is based on indices determining the level of intelligent organization, investment attractiveness and entrepreneurship. The methodological concept can be used to assess the level of development of IOs in taxonomic units of different levels in different countries. ; peer-reviewed

Purpose: The theoretical purpose of this paper is determining the essence of an intelligent organization (IO) in a local administrative unit (LAU) including identification of benefits and risks for local development connected with the development of IO in LAU. The practical purpose is presenting a concept of methods to identify the development level of IO in LAU. Design/Methodology/Approach: The work method is literature studies. In addition, two methods of evaluating the level of development of IO in LAU are proposed. The article makes use of statistical methods based on the vector of standardized sums. Findings: It is found that literature lacks a generally accepted definition of IO in LAU and many features characteristic of the development of IO in LAU are identified. The development of IO in LAU is a source of many benefits to local development, but it is also connected with the occurrence of some risks. The study proposes a set of features describing IO including their scoring. The paper also propose an indicator of the level of development of IO in LAU2 in Poland (municipality) in 2018 based on a set of variables (IO LAU2). Research has shown a positive correlation between the level of development of IO in LAU and the level of urbanization, investment attractiveness and economic growth. Practical Implications: The results of studies can be used by LAU for designing the strategy of developing an intelligent organization. They can provide valuable practical guidance about the type of activities to be implemented to ensure that LAU can evolve into IO. Originality/Value: The work proposes a definition of IO in LAU. Two methods of evaluating the level of development of IO in LAU are put forward. The first method allows pre-selection of LAU in terms the level of development of IO based on data available in public statistics. The next stage of the study can use the criteria of summary evaluation of the level of development of IO in the LAU, proposed in this work, according to a percentage scale. The presented methodological concept is universal – it can be used to evaluate the level of development of IO in taxonomic units at different levels and in different countries. ; peer-reviewed

Due to ongoing processes of globalization and internationalization, the enterprises localization selection is multi-aspect and multi-stage process. Therefore, there is a need for new solutions application, or at least modification of localization management methods. This paper presents an attempt of an application of modified McKinsey matrix for spatial analysis using an original concept of regional strategic groups. Regional strategic groups are the clusters of regions similar as regards sector attractiveness, as well as competitive position or potential. The aim of this elaboration is presentation of an application possibilities and limitations of regional strategic groups in strategic options management on the example of automotive industry enterprises operating in the regions of the European Union NUTS 2 level. The elaboration constitutes the proposal of an application of investment attractiveness of the regions valuation for an analysis of strategic options in global enterprise management. It was demonstrated during the research that an analysis of regional strategic groups may be applied in strategic management both from the position of the regions as well as the enterprises localized on their area. Application limitations of the method discussed include inter alia difficulty in reflecting of real inter-regional relations on NUTS 2 level and presentation of statistical data according to enterprises head offices not their actual deployment. Keywords: DOI: http://dx.doi.org/10.5755/j01.ee.28.1.7799

W opracowaniu przeprowadzono modelowanie salda migracji wewnętrznych dla miasta Poznania w zależności od wybranych wskaźników (tj. liczby i powierzchni istniejących mieszkań, liczby izb w mieszkaniu, przeciętnej powierzchni użytkowej mieszkania na 1 osobę, salda migracji wewnętrznych, zmiany liczby ludności na 1000 mieszkańców, liczby ludności ogółem, z podziałem na kobiety i mężczyzn, oraz gęstości zaludnienia na 1 km2) charakteryzujących Miejski Obszar Funkcjonalny Poznania (łącznie 22 gminy) w latach 2005–2020 na podstawie danych statystycznych pochodzących z Banku Danych Lokalnych GUS. Wykazano, że wskaźniki te w istotny sposób wpływają na saldo migracji ludności miasta Poznania, a co za tym idzie – mogą być wykorzystywane do prognozowania salda migracji dla tego miasta. Ponadto opracowano eksperymentalny model sztucznej sieci neuronowej do przewidywania salda migracji dla miasta Poznania na 1 rok oraz na 2 lata do przodu. Stwierdzono, że możliwe jest wykorzystanie sztucznych sieci neuronowych do trafnego prognozowania salda migracji dla Poznania. Otrzymane wyniki potwierdzają utrzymanie się ujemnego salda migracji dla miasta Poznania z tendencją zmniejszania się tego trendu oraz dodatnie saldo migracji w gminach ościennych z tendencją zmniejszania się.