Temat: spatial average - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: TESSELLATION AS AN ALTERNATIVE AGGREGATION METHOD
Autorzy:: Zabarina, Kateryna
Powiązania:: https://bibliotekanauki.pl/articles/453557.pdf
Data publikacji:: 2018
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:: Voronoi tessellation
point data
regional data
random sample
spatial analysis
aggregation
MAUP
spatial average
Opis:: The sensitivity of statistical results to the choice of a particular zoning system is known as the Modifiable Areal Unit Problem. Level of aggregation is a significant factor determining results. Moving from point data to areal data, one should take into account aggregation and existence of spatial autocorrelation in the data. Though usually Voronoi tessellation is used in different study fields, this paper suggests it can be an alternative aggregation method to connect point and areal data in economics. Paper shows the possibility to calculate spatial average from point data and vice versa.
Źródło:: Metody Ilościowe w Badaniach Ekonomicznych; 2018, 19, 1; 78-91
2082-792X
Pojawia się w:: Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Impact of Public Transportation on European Countries’ Development: a Spatial Perspective
Autorzy:: Matyas, Andreea
Powiązania:: https://bibliotekanauki.pl/articles/20433505.pdf
Data publikacji:: 2023-11-22
Wydawca:: Uniwersytet Warszawski. Wydział Nauk Ekonomicznych
Tematy:: Spatial Econometrics
Econometric Methods
Spatial Autoregressive Moving Average Model
Spatial Autocorrelation
Transportation Economics
Opis:: Sustainability is a key topic nowadays, mostly because in the last decade the pollution levels have reached an all-time high. National governments are searching for sustainable and environmentally friendly solutions to decrease the amount of pollution. This study is a cross-sectional study on 27 European countries, using data gathered in 2020. This study’s main goal is to show the environmental sustainability of public transportation and its impact on country development in Europe. The methodology used in this study will consist of spatial econometrics methods with visual maps and graphs to help with a better visual representation of the phenomena presented. The empirical evidence will be confirmed by the spatial regression’s results. Because the spatial diagnostic tests revealed that the spatial processes are present in terms of both spatial lag and spatial errors, the model that was used was a Spatial Autoregressive Moving Average Model (SARMA). Moreover, the environmental sustainability of public transport is also a significant factor. The expected results from which this study began – specifically, that the spatiality has a significant impact in modelling the relationship between public transportation and economic development – were confirmed.
Źródło:: Central European Economic Journal; 2023, 10, 57; 403-413
2543-6821
Pojawia się w:: Central European Economic Journal
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Interpretation of Structural Parameters for Models with Spatial Autoregression
Autorzy:: Pietrzak, Michał Bernard
Powiązania:: https://bibliotekanauki.pl/articles/517218.pdf
Data publikacji:: 2013
Wydawca:: Instytut Badań Gospodarczych
Tematy:: spatial econometrics
measures of average impact
Opis:: The main purpose of the article is to consider a important issue of spatial econometrics, which is a proper interpretation of structural parameters of econo-metric models with spatial autoregression. The problem will be considered basing on the example of the spatial SAR model. Another purpose of the article is to make an overview of measures of average spatial impact proposed by the subject litera-ture (see Lesage and Pace 2009). The analysis will include such measures as Aver-age Total Impact to an Observation, Average Total Impact from an Observation, Average Indirect Impact to an Observation, Average Indirect Impact from an Ob-servation and Average Direct Impact. Having considered the above issues, I will introduce a set of three original measures that allow the interpretation of the strength of the impact of the explanatory processes within the spatial SAR model, which take the forms of average direct impact, average indirect impact and average induced impact. The use of this set of measures will be illustrated with the example of the analysis of the unemployment rate in Poland. It must be emphasized that the presented set of measures may also be designated for other spatial models. With the knowledge of the empirical form of the model and of the spatial weight matrix, the set of measures introduced simplifies significantly the complex procedure of the interpretation of the structural parameters for spatial models to the use of merely three values.
Źródło:: Equilibrium. Quarterly Journal of Economics and Economic Policy; 2013, 8, 2; 129-155
1689-765X
2353-3293
Pojawia się w:: Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Spatial wage inequality and its sectoral determinants: the case of modern Russia
Autorzy:: Malkina, Marina
Powiązania:: https://bibliotekanauki.pl/articles/19090894.pdf
Data publikacji:: 2019
Wydawca:: Instytut Badań Gospodarczych
Tematy:: regional average wage
spatial inequality
sectoral structure of economy
decomposition of inequality
convergence
Opis:: Research background: We assume that the dynamics of spatial wage inequality can be caused by both shifts in the sectoral structures of regional economies and changes in inter-sectoral and intra-sectoral (inter-regional) wage inequality. Purpose of the article: The paper is aimed at analysis of the sectoral factors influenced the spatial wage inequality in Russia in 2005-2014. Methods: The employment-weighted Gini coefficient was applied for assessment of spatial wage inequality; the modified Lerman-Yitzhaki technique allowed to decompose it by main economic activities and their determinants; the mixed methods of factor analysis was used to evaluate the contribution of sectoral determinants to regional wage convergence in Russia. Findings & Value added: We found a weak and inconsistent convergence of Russian regions in average wage over the period under review and explained it by the opposing forces in the main economic activities. The spatial convergence was basically created by mining, manufacturing, agriculture, construction, and transport and communications activities, while wholesale and retail trade, financial intermediation and real estate operations counteracted it. The convergence was mainly facilitated by a reduction in inter-sectoral differences in wages as well as by rapprochement of the employment structures in some economic activities of Russian regions. In the meanwhile, the migration of labor force from lower wage to higher wage activities negatively affected the smoothing regional differences. Ultimately, intra-sectoral wage inequality and wages correlation in various activities rather preserved inequality. The results are applicable in the management of spatial inequality both at the regional and national levels.
Źródło:: Oeconomia Copernicana; 2019, 10, 1; 69-87
2083-1277
Pojawia się w:: Oeconomia Copernicana
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: The Russian economic space: evolution during periods of reform, growth and crisis (1990–2010)
Autorzy:: Kholina, Veronika N.
Mironova, Marina N.
Powiązania:: https://bibliotekanauki.pl/articles/2035786.pdf
Data publikacji:: 2012-11-10
Wydawca:: Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
Tematy:: Russian regional economy
regional disparities
spatial concentration and differentiation of socio-economic development of regions
regional policy
regional asymmetries
deviation from the average
Opis:: The aim of the article is to identify the main tendencies in the dynamics of interregional disparities in the level of socio-economic development in Russia during periods of economic growth and crisis. These trends have been identified on the basis of an analysis of the regional coefficient of asymmetry of key per-capita indicators (GDP, investment in fixed capital etc.) as well as indicators of spatial concentration in Russia and deviations from the average (for GDP, per capita GDP and investments) at the federal district and regional levels. The main factors driving the dynamics of these disparities were the economic crisis, government anti-crisis measures and measures of social support. Comparison of the level of interregional disproportions in Russia and abroad indicated that the differences between levels of socio-economic development at the federal level are comparable with differences in EU countries, but at the level of regions - with countries of the world.
Źródło:: Miscellanea Geographica. Regional Studies on Development; 2012, 16, 1; 23-28
0867-6046
2084-6118
Pojawia się w:: Miscellanea Geographica. Regional Studies on Development
Dostawca treści:: Biblioteka Nauki

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