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<title>Acta Universitatis Lodziensis. Folia Oeconomica nr 252/2011</title>
<link>http://hdl.handle.net/11089/229</link>
<description/>
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<rdf:li rdf:resource="http://hdl.handle.net/11089/1632"/>
<rdf:li rdf:resource="http://hdl.handle.net/11089/641"/>
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<dc:date>2026-04-05T07:51:49Z</dc:date>
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<item rdf:about="http://hdl.handle.net/11089/1632">
<title>Health capital and regional development. A panel data approach</title>
<link>http://hdl.handle.net/11089/1632</link>
<description>Health capital and regional development. A panel data approach
Laskowska, Iwona
The recent studies of economic growth have shown increasing interest in&#13;
the potential economic profits that improved health condition of populations could bring.&#13;
The World Health Organization’s reports Macroeconomics and Health: Investing in&#13;
Health for Economic Development of 2001 and The Contribution of Health to the&#13;
Economy in the European Union of 2005 significantly contributed to the promotion of&#13;
health as a factor of economic growth. Both of them suggest that investing in health as a&#13;
vehicle of economic growth is necessary not only in countries at a low level of economic&#13;
development, but also in the developed ones.&#13;
This recommendation arises from the fact that education and health are one of the&#13;
basic determinants of the quality of human capital. On a micro scale, health is treated as&#13;
a prerequisite for personal development, enabling the achievement of a satisfactory&#13;
economic status. In terms of the entire economy, the beneficial influence of good health&#13;
can manifest itself thorough growing productivity of labour, lower costs of absenteeism&#13;
caused by sick leaves, and limited costs of medical interventions that altogether may&#13;
improve social well-being and reduce poverty.&#13;
Variations in economic results caused by health inequalities can be analysed for the&#13;
entire economy, a region or with respect to individuals. The presented investigation&#13;
aimed to verify a hypothesis, according to which the health condition of the regional&#13;
population can be one of the factors determining regional development. The&#13;
investigation used a panel sample comprising particular voivodeships as they were&#13;
between 1999 and 2008. Application of dynamic panel data models allowed identifying&#13;
a relationship between different health indicators and GDP variations.
</description>
<dc:date>2011-01-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/11089/641">
<title>Spatial problems of estimating multiplier effects in the local scale</title>
<link>http://hdl.handle.net/11089/641</link>
<description>Spatial problems of estimating multiplier effects in the local scale
Micek, Grzegorz
Academic studies of local multiplier effects generated by industries or large en-&#13;
terprises seem to be a ‘rara avis’ of contemporary research. This scarcity stems from a different &#13;
research procedure implemented on a local scale. The lack of primary data necessary to conduct &#13;
classical input-output analysis for the local level (Polish municipalities and counties) leads to the &#13;
need of carrying out the company questionnaire. The survey usually entails the issue of identifying &#13;
main contractors and spatial pattern of commuting practices. Moreover, in order to obtain the data &#13;
about the place where employees pay taxes the employee survey is necessary.  &#13;
Spatial problems of estimating multiplier effects have been described based on empirical data &#13;
in Krakow’s business service centers (Micek et al. 2010) and companies  functioning in Special &#13;
Economic Zone in Mielec (Domański et al. 2005). Multiplier effects are a form of impact effects &#13;
and they may be presented as an increased employment in local companies or increased revenues &#13;
of local government from corporate or personal income taxes. Employment multiplier effects are &#13;
generated in cooperating companies (indirect effects) and firms  which provide services  for em-&#13;
ployees of the analyzed business sector (induced effects).  &#13;
There are two problems that arise while estimating local multiplier effects described in the &#13;
paper. The first issue is the ‘leakage effect’ measured in a number of jobs being generated outside &#13;
the local area (community or county). The general rules concerning the lower leakage estimated &#13;
for some industries (e.g. trade in comparison to market research services) are known, but attribut-&#13;
ing the value of supplies to a particular sector  is possible only after obtaining specific data from &#13;
enterprises and critical assessment of their quality.  &#13;
The second issue is related to the low quality of official statistics in the fiscal system. Almost &#13;
90% of employees of Krakow business services centers live in the city, but about 50% of them pay &#13;
taxes in their former place of residence. If the employees had paid taxes in their actual place of &#13;
residence, the city would have benefited from additional 9.8 m PLN in 2009 (twice as much than it &#13;
was in fact  collected). On the other hand, this change would lead to the decrease of revenues of &#13;
local governments outside Malopolska region that would have lost 8-10 mln PLN each year.
</description>
<dc:date>2011-01-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/11089/640">
<title>The method of computing the Log-Jacobian of the variable transformation for spatial models - test and comments</title>
<link>http://hdl.handle.net/11089/640</link>
<description>The method of computing the Log-Jacobian of the variable transformation for spatial models - test and comments
Kossowski, Tomasz; Hauke, Jan
One of the most important problems in spatial econometrics is the compu-&#13;
tation of the log of the Jacobian of variable transformations in models with spatial inter-&#13;
actions. The computation is necessary in ML estimation and Bayesian analysis of models &#13;
with spatial dependence (Smirnov and Anselin 2009).  &#13;
The effectiveness of the implementation of ML depends on computing effectiveness &#13;
of the log-determinant of a matrix, especially for sparse and large matrices.  &#13;
The second problem is the  numerical accuracy of computation of the log-determinant &#13;
using different methods as it was shown by Walde et al. (2008). These issues provoked a &#13;
search  of  new  methods  of  estimation  for  spatial  models.  One  of  them  is  GMM  being &#13;
easier but more restrictive for computation than ML (Lee 2004, 2007). Another solution &#13;
is  to  make  some  simplifications  based  on  regular    grids  or  band  matrices  (Rue,  Held &#13;
2005). &#13;
In the paper we test and comment the method of computing the log-Jacobian of the &#13;
variable transformation for models with spatial interactions, suggested by Smirnov and &#13;
Anselin (2009), for some practical case studies.
</description>
<dc:date>2011-01-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/11089/639">
<title>Spatial and dynamic analysis of health care expenditures in OECD countries</title>
<link>http://hdl.handle.net/11089/639</link>
<description>Spatial and dynamic analysis of health care expenditures in OECD countries
Żółtaszek, Agata; Jewczak, Maciej
Health care is a key sector of every economy and is of grate medical, so-&#13;
cial, and economical importance to all citizens. It is also one of the most diverse sectors &#13;
in  the  world,  especially  in  the  aspect  of  financing.  Some  countries  offer  “free”  care, &#13;
covered by the national budget, while others have implemented various forms of privet &#13;
financing, like privet healthcare insurances. In Poland most medical services are funded &#13;
by the State and ideas of privatisation are in progress. Despite that it has been estimated &#13;
that  30%  of  overall  healthcare  expenditures  are  covered  by  households.  This  rate  is &#13;
among the highest in Europe, which suggests low efficiency of health care sector. Analysis of magnitude and structure of health care expenditures according to financing sources &#13;
can give essential data for sector’s efficiency evaluation. &#13;
The main goal of this paper is to carry a spatiotemporal analysis of  healthcare expenditures and their structure in OECD countries in years 2000-2007. Spatial differentiation  of  expenditures  according  to  their  sources  and  their  dynamic  of  changes  will  be &#13;
researched in chosen countries, including Poland. Three dimensional (time–space structure) analysis will be performed using panel shift-share analysis based on Berzeg model
</description>
<dc:date>2011-01-01T00:00:00Z</dc:date>
</item>
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