The spatial diversification of tourist traffic in Polish seaside regions

2017 ◽  
Vol 32 (1) ◽  
pp. 123-0
Author(s):  
Ewa Hącia
Keyword(s):  
Statistical Data ◽  
Data Bank ◽  
District Level ◽  
High Concentration ◽  
Local Data ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Spatial Diversification

Tourist-attracting areas generate a high concentration of tourist traffic. Considered to be attractive as travel destinations, Polish seaside regions are popular with foreign as well as domestic tourists. The aim of this article is to present the spatial diversification of tourist traffic in the provinces of Zachodniopomorskie and Pomorskie in terms of its size, intensity and density as measured at the district level. The statistical data has been provided by the Local Data Bank of the Central Statistical Office. The research procedures adopted in this article as well as its structure are designed to meet this aim.

Spatial diversification of tourist accommodation in Polish seaside regions

2017 ◽  
Vol 32 (1) ◽  
pp. 0-0
Author(s):  
Ewa Hącia
Keyword(s):  
Statistical Data ◽  
Data Bank ◽  
Basic Element ◽  
District Level ◽  
Local Data ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Tourist Development ◽  
Spatial Diversification ◽  
Tourist Accommodation

This article aims to present the spatial diversification of tourist accommodation distribution in the Zachodniopomorskie and Pomorskie provinces. The assessment of accommodation as a basic element of tourist development takes into account the indicators of the supply-based tourist function to provide a basis for a single collective metric. The present analysis was conducted at a district level. Statistical data was provided by the Local Data Bank of the Central Statistical Office.

scholarly journals Changes in the tourist function of Kujawy health resorts (based on the capacity and type of accommodation)

Turyzm ◽  
2019 ◽  
Vol 29 (1) ◽  
pp. 53-62
Author(s):  
Andrzej Matczak
Keyword(s):  
Quantitative Analysis ◽  
Statistical Data ◽  
Data Bank ◽  
Official Statistics ◽  
Local Data ◽  
Health Resort ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Health Resorts ◽  
The Relationship

The article is an attempt to verify the hypothesis that the tourist function in Polish health resorts is becoming increasingly diversified. It presents data concerning the capacity and type of accommodation in three Kujawy health resorts, as well as their amenities. The data was provided by the Local Data Bank at the Central Statistical Office (GUS), and refers to the period between 1995 and 2018. The study findings point to the increasingly diversification of the tourist function in Kujawy health resorts. The greatest changes have been identified at Ciechocinek which can currently be defined as a tourism and health resort. Less advanced changes have been found in Inowrocław, while Wieniec-Zdrój still remains a typical spa with a marginal share of other functions. Based on official statistics, the author has identified general trends taking place in health resort infrastructure. Only a limited quantitative analysis of the relationship between the health and tourist functions of Kujawy health resorts has been made, mostly due to the incompleteness of the statistical data.

SPATIAL DIVERSIFICATION OF THE LEVEL OF DEVELOPMENT AND THE FINANCIAL SITUATION OF RURAL COMMUNES IN THE ŚWIĘTOKRZYSKIE VOIVODSHIP

2019 ◽  
Vol XXI (1) ◽  
pp. 74-82
Author(s):  
Piotr Prus ◽  
Paweł Dziekański
Keyword(s):  
Data Bank ◽  
Data Exploration ◽  
Economic Potential ◽  
Local Data ◽  
Financial Situation ◽  
Use Of Data ◽  
Development Factor ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Spatial Diversification

The aim of the article is to evaluate the spatial disproportions in the development of rural municipalities in relation to their financial situation with the use of a non-standard synthetic measure. The analysis in the area of finance and development of communes concerned the years 2011, 2014 and 2017. The study covered 70 rural communes in the Świętokrzyskie Voivodeship. Data exploration was possible due to the use of data from the Local Data Bank of the Central Statistical Office and the Regional Audit Chamber. The method used in the work is a synthetic measure of development and the financial situation. Local self-government can fulfil its tasks when it is equipped with stable and efficient sources of income and an appropriate level of endogenous resources. The economic potential, infrastructure, financial resources are an important development factor. The group of communes with the best situation in terms of development was created, among others, by Sitkówka-Nowiny, Morawica and Strawczyn Communes, which are located in the Kielce district and are characterized by a good financial situation and economic potential. The research showed disproportions between rural communes characterized by an industrial function and units with a traditional agricultural function.

Spatiotemporal Analysis of the Activity of Residential Development in Poland

2017 ◽  
Author(s):  
Radosław Cellmer ◽  
Mirosław Bełej
Keyword(s):  
Data Bank ◽  
Spatiotemporal Analysis ◽  
Local Data ◽  
Regional Markets ◽  
Residential Units ◽  
Central Statistical ◽  
Construction Activity ◽  
Spatial Diversification ◽  
Economic Indices ◽  
The Individual

The objective of the study presented in the article is to determine the spatial diversification and determinants of construction activity in Poland between 2006 and 2015. Theoretical hypotheses and observations of behaviour of economic entities clearly show that their decisions depend both on the situation in local and regional markets, as well as distances from other regions or local markets. The number and the surface area of completed residential units, as well as the number of completed buildings and issued construction permits, were adopted as the measures of construction activity. The analysis also includes selected demographic, social and economic indices characterising the individual territorial units in Poland on the basis of the local data bank maintained by the Central Statistical Office. In the course of the study, spatial panel models were used, and as a result of the study, construction activity models were obtained, taking spatial interactions into account.

scholarly journals Spatial Autocorrelation of Communes’ Income Potential in Selected Metropolitan Areas

2017 ◽  
Vol 4 (330) ◽  
Author(s):  
Agnieszka Bernadetta Kozera ◽  
Romana Głowicka-Wołoszyn
Keyword(s):  
Spatial Autocorrelation ◽  
Metropolitan Areas ◽  
Data Bank ◽  
Local Growth ◽  
Local Data ◽  
Self Sufficiency ◽  
Development Policies ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Economic Capacity

A commune’s own income potential, indicative of financial self‑sufficiency, underpins the ability of its government to foster local growth. Accurate recognition of the potential levels necessary for improvement of development policies requires that, apart from considering communes’ own potential, neighbouring communes’ potential should be taken into account, especially if the neighbours are large urban centres of substantial demographic and economic capacity. This article aims to examine spatial autocorrelation of income potential of metropolitan communes of Warsaw, Poznań, Wrocław, and Cracow metro areas in 2014. The study draws on data published by the Central Statistical Office in the Local Data Bank and uses the R programme packages, such as spdep, maptools, and shapefiles for calculations.

INCOME POTENTIAL OF RURAL COMMUNES OF WIELKOPOLSKA PROVINCE IN 2005-2016

2018 ◽  
Vol XX (1) ◽  
pp. 30-36 ◽  
Author(s):  
Romana Głowicka-Wołoszyn ◽  
Feliks Wysocki ◽  
Agata Wieczorek
Keyword(s):  
Metropolitan Area ◽  
Data Bank ◽  
The Other ◽  
Local Data ◽  
Rural And Urban ◽  
Self Sufficiency ◽  
Central Statistical ◽  
Urban Rural ◽  
Central Statistical Office ◽  
Per Capita

The aim of the study was to assess the income potential of rural communes and to compare it to other administrative types in Wielkopolska province in 2005-2016, with particular emphasis on the Metropolitan Area of Poznań (POM). The research drew on data from the Central Statistical Office (Local Data Bank) and found income potential of rural communes of the province to be the lowest of all types of communes, with low values of own income per capita and financial self-sufficiency index. On the other hand, POM rural communes had higher own income potential compared to rural communes outside of POM or to other types of communes inside POM. The analyzed period saw increased shares of PIT revenues in the budgets of rural and urban-rural communes, which by 2016 were the most important source of own income in all groups of surveyed communes.

scholarly journals THE DEGREE OF DEVELOPMENT SUSTAINABILITY AT A LOCAL LEVEL: EVIDENCE FROM MAZOVIAN COUNTIES IN POLAND

2019 ◽  
Vol XXI (4) ◽  
pp. 421-435 ◽  
Author(s):  
Tomasz Siudek
Keyword(s):  
Local Development ◽  
Local Level ◽  
Data Bank ◽  
Capital City ◽  
Three Dimensions ◽  
Local Data ◽  
Conceptual Approach ◽  
Distance Analysis ◽  
Central Statistical ◽  
Central Statistical Office

he aim of this study was to determine the sustainability degree of local development for counties of the Mazowieckie (Mazovian) Voivodship in the years 2006-2015. Research was conducted on a population of 42 counties (territorial units at NUTS 4 level), including 5 town counties (towns possessing county status) and 37 land counties. Basing on data from the Local Data Bank of the Central Statistical Office, three dimensions of development were investigated: economic, social and ecological (environmental). The author’s conceptual approach, incorporating dimensional indexes of development and Euclidean distance analysis, was applied to capture the interactions between and balance across the three pillars of sustainability. Through the results of the study, it is observed that the highest degree of local development sustainability was achieved by counties located up to 50 kilometres from Poland’s capital city Warsaw (i.e. grodziski, grójecki, nowodworski, otwocki, sochaczewski, wołomiński and żyrardowski), while the lowest by towns with a county status (Ostrołęka, Płock and Warsaw) and by peripheral counties of the east and south part of the Mazovian Voivodship (siedlecki, przysuski, lipski and zwoleński). In the 2015 ranking, according to the sustainability degree of counties, the first three spots were taken by ciechanowski, przasnyski and sochaczewski counties. The following town counties took the last three positions: Ostrołęka, Płock and Warsaw.

scholarly journals MULTI-DIMENSIONAL ASSESSMENT OF HOUSING CONDITIONS OF THE POPULATION IN RURAL AND URBAN AREAS OF THE WIELKOPOLSKIE VOIVODESHIP

2019 ◽  
Vol XXI (2) ◽  
pp. 79-87 ◽  
Author(s):  
Romana Głowicka-Wołoszyn ◽  
Joanna Stanisławska ◽  
Andrzej Wołoszyn
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Data Bank ◽  
Housing Conditions ◽  
Local Data ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Central Statistical ◽  
Urban Rural ◽  
Central Statistical Office

The aim of the study was to compare the housing conditions of the population living in rural and urban areas of Wielkopolska province communes. The multidimensional assessment of housing conditions was carried out using the TOPSIS method. The research drew on 2016 data published by the Central Statistical Office in the Local Data Bank. The housing conditions in rural areas of the Wielkopolska province were found to be significantly worse than in urban areas. Over 38% of all examined urban areas and only 5% of rural areas (mainly located in the Poznań Metropolitan Area) were classified as Class I with the highest level of housing conditions. Class IV – with the lowest level of housing conditions – included as many as 25% of rural areas and only one urban area located in a mixed, urban-rural commune. In many of the studies, dynamic, beneficial changes in housing conditions in rural areas are emphasized despite the continuous worse situation of rural areas compared to cities. However, due to the observed suburbanisation processes in rural areas in the vicinity of large urban agglomerations, it would be necessary to distinguish living transformations in these rural areas, from changes in housing conditions in rural areas that perform typical agricultural functions.

scholarly journals SPA SERVICES DISTRIBUTION AND SPECIALIZATION IN KUJAWSKO-POMORSKIE, POMORSKIE AND PODKARPACKIE VOIVODESHIPS COMMUNES

Turyzm ◽  
2017 ◽  
Vol 27 (1) ◽  
pp. 57-63
Author(s):  
Paweł Stelmach
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Functional Relationship ◽  
Data Bank ◽  
Data Sets ◽  
Local Data ◽  
Correlation And Regression Analysis ◽  
Central Statistical ◽  
Central Statistical Office ◽  
The Relationship

Abstract The objective of the article is to identify and explain the relationship between spa services distribution and spa specialization in Kujawsko-Pomorskie, Pomorskie and Podkarpackie Voivodeships spa communes. Correlation and regression analysis were used based on data from the Local Data Bank and unpublished data sets from the Central Statistical Office of Poland. In order to explain the relation between spa services distribution and spa specialization, time-series analysis was used. In five of nine researched communes (Horyniec-Zdrój, Solina, Ustka, Ciechocinek and Inowrocław) there is a functional relationship between spa services distribution and spa specialization.

The level of security of the society in Poland. Progressive stepwise regression model for the overall crime rate

2020 ◽  
Vol 4 (37) ◽  
pp. 55-68
Author(s):  
Robert Socha ◽  
Aldona Migała-Warchoł
Keyword(s):  
Regression Model ◽  
Crime Rate ◽  
Stepwise Regression ◽  
Data Bank ◽  
Crime Rates ◽  
Local Data ◽  
Polish Society ◽  
Central Statistical ◽  
Central Statistical Office ◽  
The Relationship

The aim of this article is to analyze the level of security of the Polish society using crime rates collected from the Local Data Bank of the Central Statistical Office. The data was collected for individual Polish voivodships for the year 2016. In the second part of the article, the model of progressive stepwise regression was created for the overall crime rate, as well as conducting an analysis of the relationship between the crime rate and selected economic measures. The results were obtained with the application of the Statistica 12 program.

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