Elżbieta Antczak

Economic Development And Transfrontier Shipments Of Waste In Poland – Spatio-Temporal Analysis

Abstract The aim of the paper is to apply the spatio-temporal Environmental Kuznets Curve (SpEKC) to test the relationship between economic growth and the amount of collected mixed municipal waste. The analysis was conducted at the level of sixty-six Polish sub-regions. The study contained selected environmental indicators. The dependent variable - the amount of municipal waste generated in kilograms per capita characterized the state of the environment. The GDP per capita in constant prices (as an explanatory variable) presented the level of economic development of the sub-regions. In the empirical part of the research there were used spatial panel data models based on EKCs. It determined the levels of economic development, at which the amount of produced wastes has fallen or increased, depending on the wealth of the region. The application of different types of spatial weight matrices was an important element of this modelling. Data obtained the years 2005-2012. Models were estimated in the RCran package.

WHAT AFFECTS EFFICIENCY IN LABOUR MARKET MATCHING AT DIFFERENT TERRITORIAL AGGREGATION LEVELS IN POLAND?: Different Territorial Aggregation levels in Poland?

We analyse efficiency of a labour market matching process at different levels of territorial aggregation and in different time horizons. We apply a stochastic matching frontier to random, job queuing and stock‐flow models. We use data for Poland, a country with highly regionally diversified unemployment. We find that search and matching mechanisms significantly differ with territorial aggregation. Higher efficiency in small regions results from lower frictions. Larger regions enjoy better structural matching if only labour market participants have time to search. Different policy measures should be designed to improve labour market matching efficiency at different regional levels.

What determines the permanent emigration of poles? The analysis of the spatial diversification of causes in three economic age groups

Our paper seeks answers to the following questions: What are the determinants of permanent emigration from Poland and how do they vary for specific economic age groups (pre-working, working, and post-working age)? Do the causes of permanent emigration differ over space in these categories, and if so, how? We applied GIS and ESDA instruments, including geographically weighted regression, which allowed us to identify the variability of regression coefficients in the geographical space. Our research indicated socio-economic factors (among others: poviats budget income, feminisation rate, unemployment rate), which, with varying force and in varying directions, affected the studied variable in specific parts of the country. The analyses were performed on the basis of statistical data on the numbers of de-registrations for residence abroad in Poland’s NUTS-4 in three economic age groups (pre-working, working, and post-working age) for the time span from 2005 to 2013.

Spatial Labour Market Matching

We analyse the extent to which spatial interactions affect the labour market matching process. We apply spatial econometrics methods, including spatial panel Durbin models, which are rarely used in labour market matching analysis. We use the data on stocks and inflows of unemployed individuals and vacancies registered at public employment offices in Poland. We conduct the analysis at the NUTS-3 and NUTS-4 levels in Poland for the period 2003-2014. We find that (1) spatial interactions affect the matching processes in the labour market; (2) workers commute long distances, and many of these commutes involve crossing only one administrative border; (3) spatial indirect, direct, and total spillover effects determine the scale of outflows from unemployment in the focal and adjacent areas; and (4) spatial modelling is a more appropriate approach than classical modelling for the matching function.

Zależności przestrzenne w kształtowaniu się procesów migracyjnych w wybranych miastach Europy

Problematyka rozwoju regionalnego jest jednym z wazniejszych kierunkow badan we wspolczesnych naukach ekonomicznych. Niniejsza publikacja wpisuje sie w szeroko rozumiany nurt badan regionalnych, lokalnych i przestrzenno-czasowych. W szczegolności poruszane są w niej zagadnienia zrownowazonego rozwoju, gospodarek opartych na wiedzy, funkcjonowania samorządow regionalnych. Prezentowane analizy zostaly przeprowadzone z wykorzystaniem zroznicowanych narzedzi, takich jak: metody i modele ekonometrii przestrzennej, eksploracyjna analiza danych przestrzennych, metody wielowymiarowej analizy porownawczej, hurtowni danych (Data Warehouse) i narzedzi Business Intelligence. Ksiązka jest adresowana do praktykow gospodarczych, analitykow, naukowcow, studentow i do wszystkich zajmujących sie problematyką empirycznych badan regionalnych. Zamieszczone w artykule wyniki są cześcią obszernego badania, ktorego rezultaty zaprezentowano podczas 7. Seminarium im. prof. J.H.P. Paelincka, 20– 21.11.2014 r. w Zaragozie, http://metodos.upct.es/7JP/Program/index.html.

Analysis of Emigration in Europe Using the Spatial Dynamic Shift-Share Method

Abstract The aim of the paper is to examine the pace of change in emigration levels in 24 selected European countries from 1999 to 2012, by age, country and the reference area. The spatial dynamic shift-share method is used in this research. The study analyses each country’s share and identifies structural as well as geographic factors in the volume of the net global effect. It also considers a spatial weights matrix. Results reveal that the global mean pace of change in the emigration is positive. The pace of phenomenon is the fastest among individuals aged 45–64 and also 35–44 years and in Czech Rep., Lithuania, Spain, Hungary and Germany.