Demographic Potential as the Basis for Spatial Differentiation of the Financial Situation Communes of Eastern Poland in 2009-2018

Dziekański, Paweł; Pawlik, Andrzej; Wrońska, Magdalena; Karpińska, Urszula

doi:10.35808/ersj/1903

Cited by 9 publications

(6 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…, m; maxx ij is the maximum value of the j-th variable; minx ij is the minimum value of the j-th variable; x ij is the value of the j-th variable for the object [29,41,51]; Z ij is the normalized value of the j-th variable for the object. Its aim was to standardize the nature of the variables, bring the different variables to mutual comparability, and replace the different ranges of the variability of individual variables with a constant range [46,52,53]. The value of Z ij was in the range [0; 1].…”

Section: Methodsmentioning

confidence: 99%

Spatial Disproportions of the Green Economy and the Financial Situation of Polish Voivodeships in 2010–2020

et al. 2022

View full text Add to dashboard Cite

The provincial government, a separate association of regional communities in the state structure, carries out public tasks that affect the quality of life of the local community and the activities of businesses. Geographical conditions and the effect of socioeconomic factors lead to different levels of development in different regions. The endogenous potential of the local government is the result of a combination of local conditions, determining its opportunities and directions of development. The aim of this article was to assess and identify the spatial differentiation in the relationship between the green economy and the financial situation of voivodeships in Poland using synthetic measures. The choice of variables for the period of 2010–2020 was determined by the availability of the data collected from the regional system in the CSO Local Data Bank. The Technique for Order of Preference by Similarity to the Ideal Solution was used to construct the synthetic measures. Financial resources are the basis for the operation of local government units, conditioning the implementation of their current and developmental tasks. Knowledge of the current state of finances allows authorities to make comparisons with other units and is helpful in making financial decisions. The green economy is one of the paths to sustainable development. The green economy increases the quality of life and social equality while reducing environmental risks and natural resource consumption. As a result of the research procedure, the spatial differentiation of provinces in Poland in 2010–2020 is presented in terms of the level of the synthetic measure of the green economy and financial situation. In 2010, the synthetic measure of the green economy ranged from 0.31 to 0.42, and in 2020, it ranged from 0.40 to 0.53. The synthetic measure of financial risk in 2010 ranged from 0.37 to 0.61, and in 2020, it ranged from 0.40 to 0.77. The measures are shaped by economic activity and working conditions, health, education, leisure and social relations, economic and physical security, and environmental quality. The results of this survey enable local governments to make comparisons. The lessons learned can allow them to identify potential directions for optimizing development policies.

show abstract

Section: Methodsmentioning

confidence: 99%

Spatial Disproportions of the Green Economy and the Financial Situation of Polish Voivodeships in 2010–2020

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The normalization of diagnostic variables, by the zeroed unitarization procedure, was performed depending on their types, according to the following formulas [ 42 ]:

where: S—stimulant, D—destimulant; i = 1, 2 … n; j = 1, 2 … m, maxx ij —maximum value of the j-th variable, minx ij —minimum value of the j-th variable, x ij —is the value of the j-th variable for this object, Z ij —the normalized value of the jth variable for this object (belongs to the interval [0; 1]) [ 59 , 60 , 61 , 62 , 63 ]. …”

Section: Methodsmentioning

confidence: 99%

“…Z ij —the normalized value of the jth variable for this object (belongs to the interval [0; 1]) [ 59 , 60 , 61 , 62 , 63 ].…”

Section: Methodsmentioning

confidence: 99%

Local Disproportions of Quality of Life and Their Influence on the Process of Green Economy Development in Polish Voivodships in 2010–2020

Drozdowski¹,

Dziekański²

2022

IJERPH

View full text Add to dashboard Cite

Voivodships are centres of economic, social, and cultural life—they gather economic and social activities. This research aimed to evaluate the spatial differentiation of the quality of life in voivodships in Poland with the use of a synthetic measure. To achieve the research objective, the research methods used were literature analysis, statistical analysis, and synthetic measure. The Technique for Order Preference by Similarity to an Ideal Solution method was used to build synthetic measures. The choice of variables in 2010–2020 was largely conditioned by the availability of data collected in the regional system at the level of voivodships at the Local Data Bank of the Central Statistical Office. As a result of the analysis of voivodships in Poland, based on the quality of life measure, four groups were distinguished (according to the value of quartiles). In the group of the best voivodeships there were: Pomerania, Masovia, Lower Silesia, and West Pomeranian in 2010, and Masovia, Pomerania, Greater Poland, Lower Silesia, and Lesser Poland in 2020, and in the IV, the weakest group: Lodz Province, Podlasie Province, Lubusz Province, and Holy Cross in 2010, and Lodz Province, Podlasie Province, Holy Cross, and Lublin Province in 2020. The synthetic quality of life ranged from 0.37 to 0.56 in 2010 and from 0.39 to 0.64 in 2020. Regional authorities, taking care to improve economic potential, cause increasing the attractiveness of the area and attracting new entrepreneurs, create new jobs, and improve the quality of life of the inhabitants. Quality of life is shaped by economic activity and working conditions, health, education, free time and social relations, economic and physical security, and the quality of the natural environment. The results of the research conducted allow local governments to make comparisons. The conclusions drawn may allow them to identify potential directions for developing policy optimization.

show abstract

“…The aim of the article was to assess the spatial differentiation of ecology and environment of municipalities of the Świętokrzyskie voivodeship in 2010-2020 using a synthetic measure. The indicated objective was realized by analyzing statistical data to identify the processes of change taking place in the analyzed area, construction of a synthetic measure allowing linear ordering of the studied units [2][3][4][5][6][7][8].…”

mentioning

confidence: 99%

Spatial Differentiation of Ecology and Environment in the Context of Transformation to a Green Economy of Communes of the Świętokrzyskie Province (2010–2020)

Pawlik¹,

Dziekański²

2022

Features and Trends of Socio-Economic Development in Global and Local Dimensions

View full text Add to dashboard Cite

Demographic Potential as the Basis for Spatial Differentiation of the Financial Situation Communes of Eastern Poland in 2009-2018

Cited by 9 publications

References 9 publications

Spatial Disproportions of the Green Economy and the Financial Situation of Polish Voivodeships in 2010–2020

Spatial Disproportions of the Green Economy and the Financial Situation of Polish Voivodeships in 2010–2020

Local Disproportions of Quality of Life and Their Influence on the Process of Green Economy Development in Polish Voivodships in 2010–2020

Spatial Differentiation of Ecology and Environment in the Context of Transformation to a Green Economy of Communes of the Świętokrzyskie Province (2010–2020)

Contact Info

Product

Resources

About