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Tytuł:
Zastosowanie przestrzennego taksonomicznego miernika rozwoju (pTMR) w analizie rynku pracy w Polsce
The application of spatial taxonomic measure of development (sTMD) in analysis of the labour market in Poland
Autorzy:
Pietrzak, Michał Bernard
Powiązania:
https://bibliotekanauki.pl/articles/588561.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Ekonometria przestrzenna
Taksonometria
Taksonomiczny miernik rozwoju
Zależności przestrzenne
Spatial dependence
Spatial econometrics
Synthetic index
Taxonomic measure of development
Opis:
Tematyka artykułu dotyczy zastosowania przestrzennego taksonomicznego miernika rozwoju (pTMR) w analizie rynku pracy w Polsce. Zastosowanie tego miernika wiąże się z faktem, że większość zjawisk ekonomicznych charakteryzuje się dodatnimi zależnościami przestrzennymi. Wymusza to uwzględnienie tych zależności w przestrzennych analizach ekonomicznych. W przypadku przestrzennego taksonomicznego miernika rozwoju zależności przestrzenne są uwzględniane w konstrukcji miernika poprzez wykorzystanie potencjalnej siły interakcji między regionami. Pozwala to na określenie za pomocą miernika tendencji w kształtowaniu się analizowanych zjawisk. W artykule przeprowadzono analizę sytuacji na rynku pracy dla 66 podregionów w Polsce (NUTS 3). Przeprowadzone badanie dało możliwość oceny sytuacji na rynku pracy oraz określenia tendencji w jego rozwoju.
The content of the article refer to application of spatial taxonomic measure of development (sTMD) while analysing the labour market in Poland. The need for the use of a spatial taxonomic measure of development is related to the fact that most economic phenomena are characterized by positive spatial dependence. This necessitates the inclusion of this dependence in spatial economic analyses. The article analyses the labour market in 66 subregions (NUTS 3) in 2012. The study allowed us to assess the situation on the labour market and identify the trends in its development.
Źródło:
Studia Ekonomiczne; 2016, 291; 47-58
2083-8611
Pojawia się w:
Studia Ekonomiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Why do skilled people migrate to cities? A spatial econometric analysis for understanding the impact of the social environment on the attraction of human capital to cities in Turkey
Autorzy:
Gonul, Dilcu
Erkut, Gulden
Powiązania:
https://bibliotekanauki.pl/articles/623677.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
Human capital
human capital attraction
relational approach
spatial econometrics
Turkey
regional development
spillover Effects
Opis:
 The main focus of this study is on understanding the importance of social dynamics of cities for attracting human capital to urban regions. The principal research question of the article is “if there is a spatial dependency on neighbouring provinces’ social environmental qualities in human capital attraction for Turkey.” It is believed that developmental disparities among regions can be overcome with a balanced distribution of human capital. In this article, first the concept and importance of human capital and its evolution throughout economic history are explained in order to emphasize the relationship between development and human capital for urban regions. The literature review consists of migration models developed and used in previous studies and recent literature that together consider human capital and its flow with spatial analysis. A review of migration models helps structure the quantitative models’ building blocks, or the concepts to be quantified. Literature that discusses human capital and spatial analysis, at the same time, guides the study in implementing the most appropriate analysis technique. The literature discussed in the paper is focused on human capital migration and urban attractiveness. Its similarity with the current study work is the focus on the relationship between urban environment components and human capital. However, the cited studies lack the “spatial/relational” approach to urban regions which means that the effects of developments in settlements neighbouring the region were ignored. The contribution which we intend to make with the current study is to adapt the spatial econometric analysis to the problem of human capital attraction. Literature review is followed by data used in the empirical part of the study, and brief information on spatial econometric analysis. Next, findings of the empirical spatial econometric analysis of Turkey’s 81 urban regions are provided. Overall, the analysis indicated that undergraduate and post-graduate migrants care about the social prosperity of the neighbouring environment of destination province. The last part concludes with an interpretation of empirical study findings and discusses relevant urban and regional policy instruments.
Źródło:
European Spatial Research and Policy; 2019, 26, 1; 127-148
1231-1952
1896-1525
Pojawia się w:
European Spatial Research and Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Modifiable Areal Unit Problem – Analysis of Correlation and Regression
Autorzy:
Pietrzak, Michał Bernard
Powiązania:
https://bibliotekanauki.pl/articles/517297.pdf
Data publikacji:
2014
Wydawca:
Instytut Badań Gospodarczych
Tematy:
spatial econometrics
modifiable areal unit problem
scale problem
Opis:
The paper focuses on the issue of the modifiable areal unit problem, which means a possibility of obtaining various results for spatial economic analyses depending on the assumed composition of territorial units. The major research objective of the work is to examine the scale problem that constitutes one of the aspects of the modifiable areal unit problem. Analysis of the scale problem will be conducted for two research problems, namely, for the problem of the causal relationships between the level of investment outlays in enterprises per capita and the number of entities of the national economy per capita, and the issue of the dependence between the registered unemployment rate and the level of investment outlays per capita. The calculations based on the empirical values of those variables have showed that moving to a higher level of aggregation resulted in a change in the estimates of the parameters. The results obtained were the justification for undertaking the realisation of the objective. The scale problem was considered by means of a simulation analysis with a special emphasis laid on differentiating the variables expressed in absolute quantities and ones expressed in relative quantities. The study conducted allowed the identification of changes in basic properties as well as in correlation of the researched variables expressed in absolute and relative quantities. Based on the findings, it was stated that a correlation analysis and a regression analysis may lead to different conclusions depending on the assumed level of aggregation. The realisation of the research objective set in the paper also showed the need to consider the adequate character of variables in both spatial economic analyses and during the examination of the scale problem.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2014, 9, 4; 113-131
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Application of Spatial Analysis Methods in the Real Estate Market in South‑Eastern Poland
Zastosowanie metod analizy przestrzennej do badania rynku nieruchomości południowo‑wschodniej Polski
Autorzy:
Dejniak, Dorota
Powiązania:
https://bibliotekanauki.pl/articles/655545.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
ekonometria przestrzenna
autokorelacja przestrzenna
macierz wag
współczynnik korelacji globalnej
spatial econometrics
spatial autocorrelation
weight matrix
global correlation coefficient
Opis:
W artykule pokazano możliwości zastosowania metod analizy przestrzennej do badania rynku nieruchomości. Metody te zostały wykorzystane do zbadania zróżnicowania ceny 1 m2 nieruchomości mieszkaniowej w Polsce południowo‑wschodniej. Analizie poddano współczynniki korelacji globalnej i lokalnej Morana. Otrzymane wyniki zostały wzbogacone danymi makroekonomicznymi. Przeprowadzona analiza potwierdza opinię, że ceny nieruchomości mieszkalnych zależą od położenie przestrzennego. Natomiast oddziaływanie czynników makroekonomicznych na rynek nieruchomości może zostać zaburzone przez czynniki lokalne kształtujące popyt i podaż. Statystyki autokorelacji przestrzennej, które informują o rodzaju i sile zależności przestrzennej, umożliwiają poszerzenie tradycyjnie stosowanych miar, a tym samym mogą stać się podstawą decyzji biznesowych.
The aim of the article is to apply the method of spatial analysis to research the real estate property market in south‑eastern Poland. The methods of spatial statistics will be used to model the space differences of prices per one square metre of dwelling surface located in districts of south‑eastern Poland and to investigate spatial autocorrelation. The databases will be presented in a graphical form. The results may be used to set the spatial regularities and relations. The methods presented may be applied while making strategic decisions.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2018, 1, 333
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Taksonomiczny miernik rozwoju (TMR) z uwzględnieniem zależności przestrzennych
Taxonomic Measure of Development (TMD) with the Inclusion of Spatial Dependence
Autorzy:
Pietrzak, Michał
Powiązania:
https://bibliotekanauki.pl/articles/422749.pdf
Data publikacji:
2014
Wydawca:
Główny Urząd Statystyczny
Tematy:
taksonometria
taksonomiczny miernik rozwoju
ekonometria przestrzenna
zależności przestrzenne
numeric taxonomy
taxonomic measure of development
spatial econometrics
spatial dependence
Opis:
Tematyka artykułu dotyczy zagadnienia wykorzystania taksonomicznego miernika rozwoju w przestrzennych analizach ekonomicznych w warunkach występowania zależności przestrzennych. Dodatnie zależności przestrzenne obserwowane są dla większości zjawisk ekonomicznych. Wymusza to uwzględnienie tych zależności w konstrukcji miernika, w wyniku czego otrzymywany jest przestrzenny taksonomiczny miernik rozwoju (pTMR). W związku z powyższym celem artykułu jest wypracowanie propozycji konstrukcji przestrzennego taksonomicznego miernika rozwoju. Zależności przestrzenne uwzględnione zostaną w konstrukcji miernika poprzez wykorzystanie potencjalnej siły interakcji między regionami. Dzięki temu przestrzenny taksonomiczny miernik rozwoju pozwalać będzie na określenie tendencji w kształtowaniu się analizowanych zjawisk. Zaproponowana w artykule konstrukcja przestrzennego taksonomicznego miernika rozwoju zastosowana została w przestrzennym badaniu poziomu rozwoju gospodarczego podregionów w Polsce w 2011 roku. Przeprowadzona analiza pozwoliła na ocenę sytuacji gospodarczej w Polsce oraz określenie tendencji w rozwoju gospodarczym podregionów.
The subject of the article concerns the question of the use of a taxonomic measure of development (TMR) in spatial economic analyses under the conditions of spatial dependence. Positive spatial dependence is observed for the majority of economic phenomena. This forces the inclusion of this dependence in the construction of the measure, thus providing a spatial taxonomic measure of development (pTRM). Therefore, the aim of this article is to develop a proposal for the construction of a spatial taxonomic measure of development. Spatial dependence will be taken into account in the design of the meter by using the potential strength of the interaction between the regions. As a result, a spatial taxonomic measure of development will allow the trend in the analyzed phenomena to be determined. The construction of the spatial taxonomic measure of development proposed in the article was applied in the study of the spatial economic development level of Polish subregions in 2011. The analysis allowed us to assess the economic situation in Poland and to identify trends in the economic development of subregions.
Źródło:
Przegląd Statystyczny; 2014, 61, 2; 181-201
0033-2372
Pojawia się w:
Przegląd Statystyczny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatial Pseudo Panel Data Models with an Application to Mincer Wage Equations
Autorzy:
Güris, Selahattin
Aydin, Gizem Kaya
Powiązania:
https://bibliotekanauki.pl/articles/2119918.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
spatial econometrics
pseudo panel data
Mincer wage equations
Opis:
The studies using Mincer equations are generally applied to cross-sectional data at the micro-level. There are however limited studies conducted with macro or panel data for wage equations. Pseudo panel data methods can be applied to empirical studies by creating cohorts from repeated cross-sectional data in the absence of genuine panel data. Difference in both the human and labour resources according to the spatial positions may also affect the prediction of the wage equations. We aim to introduce the application of spatial pseudo panel models by creating cohorts according to the birth years of employees and regions in which they live from the Turkish household labour survey for the period 2010– 2015. As a result, we find that the spatial autocorrelation model is appropriate for wage equations of Turkey. We also find that return of education on wages is 11% while return of experience on wages is 4%.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2022, 1; 37-56
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatial Dynamic Modelling of Tax Gap: the Case of Italy
Autorzy:
Carfora, Alfonso
Pansini, Rosaria Vega
Pisani, Stefano
Powiązania:
https://bibliotekanauki.pl/articles/623739.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
determinants of tax gap
spatial econometrics
panel estimation
Opis:
This paper analyses the determinants of regional tax gap in Italy testing if tax evasion is characterised by spatial persistence. The size of spatial correlation in regional tax gaps has been tested and the role of additional determinants of evasion over the period 2001–2011 has been estimated. Using a dynamic spatial panel model, it is shown that regional tax gap is determined by tax evasion in neighbouring regions and is characterised by spatial persistence. Results make it possible to draw a taxonomy of the determinants of regional tax gap: contextual factors and operational factors linked to the relative efficacy of tax evasion contrasting policies and geography.
Źródło:
European Spatial Research and Policy; 2018, 25, 1; 7-28
1231-1952
1896-1525
Pojawia się w:
European Spatial Research and Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatial Dependence Structure of Total Factor Productivity in Polish Local Administrative Districts
Przestrzenne współzależności całkowitej produktywności (TFP) w polskich powiatach
Autorzy:
Ciołek, Dorota
Brodzicki, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/654932.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
rozwój regionalny
determinanty produktywności
gospodarka regionalna
ekonometria przestrzenna
TFP
regional development
determinants of productivity
regional economics
spatial econometrics
Opis:
Interakcje między przestrzenią (lokalizacją) a procesami akumulacji (wzrostem) to jeden z najbardziej interesujących i jednocześnie najtrudniejszych obszarów badawczych nowoczesnej teorii ekonomii. Jak dotąd badania empiryczne odnoszące się do problematyki produktywności na poziomie regionalnym są stosunkowo rzadkie. Większość badań w przypadku Polski stara się wyjaśnić zróżnicowanie dochodu per capita na poziomie województw i podregionów, a tylko nieliczne badania dotyczą powiatów. Niniejszy artykuł ma za zadanie wypełnić tę istotną lukę poznawczą. Artykuł ma kilka celów. Po pierwsze, prezentuje zróżnicowanie produktywności w Polsce oraz jej przestrzenne współzależności. Po drugie, stara się zidentyfikować determinanty wzrostu TFP z wykorzystaniem ekonometrycznego modelowania przestrzennego i rozszerzonej wersji modelu Nelsona‑Phelpsa. W badaniu przyjęto wysoce zdezagregowany poziom analizy: NUTS–4, czyli poziom powiatów, który autorzy uznają za adekwatny zarówno z perspektywy teoretycznej (domykanie się rynków), jak i empirycznej (modelowanie przestrzenne). TFP w Polsce przyjmuje najwyższe wartości w ośrodkach metropolitalnych (z maksimum dla Warszawy) i w ich najbliższym otoczeniu. Identyfikuje się także ośrodki wzrostu TFP zlokalizowane w miastach na prawach powiatu. Ogólnie rzecz biorąc, TFP wykazuje tendencję spadkową przy przesuwaniu się z zachodu na wschód, przy czym najniższe wartości obserwuje się w południowo‑wschodniej części Polski. Zakres oddziaływania TFP na obszary sąsiednie sięga około 175–200 kilometrów, a jego siła zmienia się nieliniowo. Ponadto tempo wzrostu TFP wykazuje przestrzenną autokorelację i zależy od tempa wzrostu kapitału ludzkiego oraz od dystansu do technologicznego lidera. W artykule nie wykazano pozytywnego wpływu importu na wzrost TFP, jednakże wpływ FDI okazuje się być silny i dodatni.
The interaction between space (location) and the processes of accumulation (growth) is one of the most interesting and at the same time the most difficult areas of modern economic theory. The up till now empirical research on determinants of regional productivity in the case of Poland is however relatively scarce. Most studies focus on explaining the variation in regional income per capita mostly at NUTS–2 and NUTS–3 levels, and only a few take into account a highly spatially disaggregated NUTS–4 level. We aim to fill this important gap. The present article has several objectives. We try to explain the spatial patterns of productivity, to identify the spatial range of productivity spillovers empirically and to identify the determinants of the Total Factor Productivity (TFP) growth in Poland with the use of spatial econometric modeling and the extended version of the Nelson‑Phelps (1966) model. The study adopts an NUTS-4 level of local administrative districts (powiats) which we find superior on both theoretical (market closing) and empirical grounds (spatial modeling). TFP in Poland assumes the highest values in the metropolitan centers and spreads out on their nearest surroundings with the maximum value for Warsaw. The secondary local hills in TFP are located in cities or towns with county rights. TFP, in general, shows a downward trend as one moves from the west to the east with the lowest values observed in the south‑eastern part of Poland. The range of TFP spillover is found to be of roughly 175–200 km and is nonlinearly decreasing from the local productivity hills. Furthermore, the rate of growth of TFP shows spatial autocorrelation and is found to depend positively on the rate of increase in human capital endowment and on the gap from the leader under certain assumptions. We find no evidence of the channel through imports. However, the FDI channel is found to be robust and strong.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2017, 3, 329
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatial cross-regressive models in the study of the spatial diffusion of innovation in Central Europe
Autorzy:
Kisiała, Wojciech
Powiązania:
https://bibliotekanauki.pl/articles/580671.pdf
Data publikacji:
2017
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
diffusion of innovation
spatial econometrics
spatial cross-regressive models
NUTS2 regions
Central Europe
Opis:
In the paper, spatial cross-regressive models were used for the identification of the processes of the spatial diffusion of innovations in Central Europe. As it is difficult to measure the diffusion of innovations directly, the empirical part of the work was based on symptomatic indicators. In the course of the research, the author undertook to show how variables indicating the level of innovation (considered to be independent variables) shaped the efficiency of work, expressed as the indicator of gross value added per worker (modelled dependent variable). The regression analysis conducted showed that there was a statistically significant link between innovation and the efficiency of work in Central European countries, also in the dimension of spatial interactions among regions. Econometric modelling led to the conclusion that the spatial diffusion of innovations occurred.
Źródło:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu; 2017, 476; 97-105
1899-3192
Pojawia się w:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Regional Economic Impact Assessment with Missing Input-Output Data: A Spatial Econometrics Approach for Poland
Autorzy:
Torój, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/2076475.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
input-output model
spatial econometrics
Durbin model
multiregion analysis
regional economic impact assessment
Opis:
We propose a method of constructing multisector-multiregion input-output tables, based on the standard multisector tables and the tools of spatial econometrics. Voivodship-level (NUTS-2) and subregion-level data (NUTS-3) on sectoral value added is used to fit a spatial model, based on a modification of the Durbin model. The structural coefficients are calibrated, based on I-O multipliers, while the spatial weight matrices are estimated as parsimoniously parametrised functions of physical distance and limited supply in certain regions. We incorporate additional restrictions to derive proportions in which every cross-sectoral flow should be interpolated into cross-regional flow matrix. All calculations are based on publicly available data. The method is illustrated with an example of regional economic impact assessment for a generic construction company located in Eastern Poland.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2016, 2; 61-91
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Redefining The Modifiable Areal Unit Problem Within Spatial Econometrics, the Case of The Scale Problem
Autorzy:
Bernard Pietrzak, Michał
Powiązania:
https://bibliotekanauki.pl/articles/517391.pdf
Data publikacji:
2014
Wydawca:
Instytut Badań Gospodarczych
Tematy:
spatial econometrics
modifiable areal unit problem
scale problem
aggregation problem
Opis:
The paper focuses on the issue of the modifiable areal unit problem (MAUP), which is frequently discussed within spatial econometrics. This issue concerns the changeability of the characteristics of the analysed phenomena under the impact of the change in the composition of territorial units. The article indicates four conditions which need to be fulfilled if the correctness of spatial analyses is to be maintained. Also, the paper introduces the concept of the quasi composition of regions (QCR). It was defined as a set of particular compositions of territorial units for subsequent aggregation scales. Particular compositions of territorial units are selected in a way that allows a correct analysis within the undertaken research problem to be conducted. The chief asset of the paper is the proposal to redefine the concept of the modifiable areal unit problem. Both the scale problem and the aggregation problem were linked to the accepted quasi composition of regions. The redefinition of the concept is vital for the research conducted since analysing phenomena based on compositions of territorial units which are excluded from the quasi composition of regions leads to the formulation of incorrect conclusions. Within the undertaken research problem there exists only one particular composition of territorial units which allows the identification and description of the dependence for analysed phenomena. Within the considered modifiable areal unit problem two potential problems were defined and they can occur while making spatial analyses. The first is the final areal interpretation problem (FAIP) that occurs when the characteristics of phenomena or the dependence are designated for too large region. The other issue is the aggregation scale interpretation problem (ASIP). It occurs when a quasi composition of regions is enlarged by an aggregation scale where the correctness of the results of the undertaken research problem is not preserved. In both cases it is possible to reach a situation where the obtained characteristics will be deprived of the cognitive value.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2014, 9, 2; 111-132
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Redefining the Modifiable Areal Unit Problem Within Spatial Econometrics, the Case of the Aggregation Problem
Autorzy:
Pietrzak, Michał Bernard
Powiązania:
https://bibliotekanauki.pl/articles/517415.pdf
Data publikacji:
2014
Wydawca:
Instytut Badań Gospodarczych
Tematy:
spatial econometrics
modifiable areal unit problem
scale problem
aggregation problem
Opis:
The paper focuses on the issue of the aggregation problem, which is frequently discussed within spatial econometrics. The aggregation problem is one of the two aspects of the modifiable areal unit problem (MAUP). The aggregation problem is connected with the volatility of the obtained results occurred when various compositions of territorial units for the same aggregation scale were applied. The objective of the present paper is to consider the redefinition of aggregation problem and showing positive solution of the aggregation problem based on the empirical example of determining agricultural macroregions. In the article the aggregation problem was defined as a problem of establishing a particular composition of territorial units at a selected aggregation scale in a such a way that is remains in the quasi composition of regions within the undertaken research problem. The paper also presented the procedure for determining agricultural macroregions where the analysis of the spatial volatility of the agrarian structure and the current knowledge on the agriculture in Poland were applied. In addition, the paper considered the final areal interpretation problem con-nected with the incorrect determination of the area in relation to which final conclusions are drawn. The problem was presented basing on the example of the establishment of the average concentration of the area of agricultural land in Poland with the use of the Gini index calculated for districts. The paper emphasised that ignoring the final areal interpretation problem in spatial analyses may lead to an apparent identification of the modifiable areal unit problem.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2014, 9, 3; 131-151
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
INTERREGIONAL R&D SPILLOVERS AND REGIONAL CONVERGENCE: A SPATIAL ECONOMETRIC EVIDENCE FROM THE EU REGIONS
Autorzy:
Chocholatá, Michaela
Furková, Andrea
Powiązania:
https://bibliotekanauki.pl/articles/517295.pdf
Data publikacji:
2017
Wydawca:
Instytut Badań Gospodarczych
Tematy:
beta convergence modelling
spatial econometrics
R&D indicators
R&D spillovers effects
Opis:
Research background: Many contemporary empirical studies and also most of economic growth theories recognize the importance of innovation and knowledge for achieving an economic growth. A large part of empirical literature has treated the issue of beta convergence without the spatial aspect, i.e. the possible spatial dependence among regions or states in growth process was neglected. Purpose of the article: In this paper, we investigate the link between selected R&D (Research and Development) indicators as proxies for the regional innovation and knowledge and economic performance of the region. We also assume a significant role of regional R&D spillovers in the regional growth process determination. Methods: The main methodological basis for our analysis is beta convergence approach and the dataset under the consideration consists of 245 NUTS 2 (Nomenclature of Units for Territorial Statistics) EU (European Union) regions during the 2003–2014 period. Our analysis is made with respect to spatial interactions across the EU regions. Findings & Value added: The influence of R&D indicators on the economic growth has been confirmed, and spatial interconnection across the EU regions have been proven. Potential existence of geographical R&D spillovers across the EU regions was examined by formulation of additional beta convergence model with spatial lag variables. We have identified that the influence of R&D spillovers is not strictly restricted to the neighbouring regions, but they spread across a larger area. For the construction of spatial lags of R&D indicators different spatial weight matrices were considered.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2017, 12, 1; 9-24
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
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
Artykuł
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
Artykuł
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