scholarly journals Spatial differentiation of particulates emission resulting from agricultural production in Poland

2019 ◽  
Vol 65 (No. 8) ◽  
pp. 375-384 ◽  
Author(s):  
Monika Roman ◽  
Michał Roman ◽  
Kamil Krzysztof Roman
Keyword(s):  
Particulate Matter ◽  
Agricultural Production ◽  
Emission Inventory ◽  
Spatial Differentiation ◽  
Tier 2 ◽  
Aerodynamic Diameter ◽  
Local Data ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Pm2.5 And Pm10

The article presents the spatial differentiation of particulates emission resulting from agricultural production in Poland. Some indicators of emission have been verified and adjusted to the Polish conditions. The paper estimates PM2.5 (particulate matter, aerodynamic diameter less than 2.5 µm) and PM10 (particulate matter, aerodynamic diameter less than 10 µm) emission resulting from agricultural production and agricultural soil. The findings of the research conducted by the Institute of Ecology of Industrial Areas in Katowice in cooperation with the Institute for Chemical Processing of Coal in Zabrze were the main source of those alterations. Data concerning particular sources of emission also come from the information provided by the Central Statistical Office in Warsaw, the Bank of Local Data 2017. The estimation of PM2.5 and PM10 emission was conducted based on the structure of sources of emission resulting from agriculture contained in “EMEP/EEA Emission Inventory Guidebook” in accordance with the Tier 2 method.

scholarly journals DIFFERENCES IN ENVIRONMENTAL GOVERNANCE LEVELS IN THE SUSTAINABLE DEVELOPMENT OF RURAL AREAS OF THE WIELKOPOLSKIE VOIVODESHIP

2018 ◽  
Vol 47 (1) ◽  
pp. 21-28
Author(s):  
Małgorzata Dolata ◽  
Magdalena Jaworska ◽  
Magdalena Jaworska
Keyword(s):  
Rural Areas ◽  
Environmental Governance ◽  
Spatial Differentiation ◽  
Data Bank ◽  
Online Database ◽  
Local Data ◽  
The Sustainable Development ◽  
Central Statistical ◽  
Basic Source ◽  
Selection Of

The purpose of this paper is to assess the leveland spatial differentiation of selected environmental governanceparameters in the context of implementing the sustainabledevelopment concept in rural areas of the Wielkopolskievoivodeship districts in 2005 and 2015. The research procedurewas made up of three steps: review of the relevant literatureand selection of indicators to describe the environmentalgovernance topics; analyzing the changes in, and spatial differentiationof, specific environmental governance components;and ranking the districts. The basic source of data wasthe online database delivered by the Central Statistical Officein Warsaw, the Local Data Bank. As shown by the results,there is considerable spatial differentiation of specific environmentalgovernance components; however, when analyzedglobally, environmental governance proves to be a relativelynon-diversified process. In 2015, the highest sustainabilitylevels were recorded in rural areas of the following districts:Złotów, Kępno and Jarocin. In turn, the lowest levels werefound in Września, Wągrowiec and Śrem districts.

scholarly journals Assessment of Spatial Diversity of the Potential of the Natural Environment in the Context of Sustainable Development of Poviats in Poland

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6027
Author(s):  
Paweł Dziekański ◽  
Piotr Prus ◽  
Mansoor Maitah ◽  
Magdalena Wrońska
Keyword(s):  
Sustainable Development ◽  
Natural Environment ◽  
Spatial Differentiation ◽  
Spatial Diversity ◽  
State Budget ◽  
Financial Conditions ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Policy Optimization

The activities of the poviat are a combination of interrelated factors. The use of natural resources should be carried out in accordance with the principles of sustainable development. The aim of this research was to assess the spatial differentiation of development relationships, the natural environment, and ecology of poviats in Poland, using a synthetic measure. Empirical data were collected in the spatial terms of poviats in Poland. The choice of variables was conditioned by the availability of data of the Central Statistical Office for 2010–2019. The assessment of development of poviats indicates disproportions in terms of development variables, as well as the natural environment and ecology, and the existence of a weak impact of natural conditions for development. Poviats distinguished by a higher level of natural environment are not characterized by a higher measure of development. The reason for the low impact of non-financial conditions on the development of poviats is their dependence on transfer from the state budget and the amount of current expenditure. The results may constitute a source of information for local government authorities on the disproportions existing between units, on the determination of directions of development policy optimization in terms of the natural environment and ecology.

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 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.

scholarly journals Concentration of Droplets from Patients during Normal Breathing and Speech and Their Importance in Protection from Coronavirus SARS-CoV-2 (COVID-19) Infection

2021 ◽  
Vol 15 (1) ◽  
pp. 103-107
Author(s):  
Tatsuya Mimura ◽  
Hidetaka Noma ◽  
Koichi Matsumoto ◽  
Makoto Kawashima ◽  
Kazuma Kitsu ◽  
...  
Keyword(s):  
At Risk ◽  
Particulate Matter ◽  
Healthcare Workers ◽  
Droplet Formation ◽  
Aerodynamic Diameter ◽  
Risk Of Infection ◽  
Normal Breathing ◽  
Pm2.5 And Pm10 ◽  
Medical Healthcare

Purpose: Coronavirus disease (COVID-19) has been declared a pandemic and the number of infected individuals and deaths continue to increase globally. COVID-19 is transmitted through airborne droplets formed during coughing and sneezing and from the saliva of infected patients. Medical healthcare workers are often at risk of infection. This study measured the aerosol derived from the droplets of patients during the conversation. Methods: Overall, 25 patients aged 21 to 87 years were enrolled. The amount of droplets from the patient was measured under the following four conditions: 1) no conversation with the mask on; 2) conversation with the mask on; 3) conversation without the mask; and 4) no conversation without the mask. Particulate matter (PM) with an aerodynamic diameter of 2.5 μm or less (PM2.5) and PM with a diameter of 10 μm or less (PM10) were measured as representative aerosols at a position of 1 meter from the patients. Results: The concentrations of PM2.5 (µg/m3) were as follows: 22.7 ± 10.2 before the conversation with the mask, 24.2 ± 10.2 during the conversation with the mask, 32.3 ± 14.7 during the conversation without the mask, and 23.1 ± 9.9 after the conversation without the mask. The concentrations of PM10 (µg/m3) were as follows: 39.8 ± 18.2 before conversation with the mask, 41.9 ± 18.5 during conversation with the mask, 55.5 ± 27.2 during conversation without the mask, and 40.4 ± 17.8 after conversation without the mask. The variations in the PM2.5 and PM10 correlated negatively with the age of patients (PM2.5: r = -0.51, p = 0.0009 and PM10: r = -0.53, p = 0.0063). Conclusion: Wearing a mask can prevent airborne droplet formation and reduce transmission of infection.

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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