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<title>Comparative Economic Research. Central and Eastern Europe Volume 17 (2014), No. 4</title>
<link href="http://hdl.handle.net/11089/8377" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/11089/8377</id>
<updated>2026-04-05T18:58:13Z</updated>
<dc:date>2026-04-05T18:58:13Z</dc:date>
<entry>
<title>Leaders And Followers In The Effectiveness Of Public Safety Services In European States – A Spatial Frontier Approach</title>
<link href="http://hdl.handle.net/11089/8430" rel="alternate"/>
<author>
<name>Żółtaszek, Agata</name>
</author>
<id>http://hdl.handle.net/11089/8430</id>
<updated>2021-07-30T08:16:10Z</updated>
<published>2014-12-30T00:00:00Z</published>
<summary type="text">Leaders And Followers In The Effectiveness Of Public Safety Services In European States – A Spatial Frontier Approach
Żółtaszek, Agata
This research indicates that despite many differences among states’ public safety policies, improvement and regional development can be stimulated and achieved by implementing the “learning-from-the-best” policy.
</summary>
<dc:date>2014-12-30T00:00:00Z</dc:date>
</entry>
<entry>
<title>A Spatial Analysis Of The Knowledge - Based Economy In Poland</title>
<link href="http://hdl.handle.net/11089/8428" rel="alternate"/>
<author>
<name>Strożek, Piotr</name>
</author>
<id>http://hdl.handle.net/11089/8428</id>
<updated>2019-03-15T09:34:37Z</updated>
<published>2014-12-30T00:00:00Z</published>
<summary type="text">A Spatial Analysis Of The Knowledge - Based Economy In Poland
Strożek, Piotr
The purpose of this article is to identify disparities in the use of knowledge in socio-economic life in the Polish provinces. The study was conducted using a taxonomic measure of development (one of the tools of multidimensional comparative analysis). Classification of provinces was constructed on the basis of KEI (Knowledge Economy Index) and KI (Knowledge Index) which are used by the World Bank in Knowledge Assessment Methodology (KAM). The division into four pillars (i.e. The Economic Incentive and Institutional Regime, The Innovation System, Education and Human Resources, Information and Communication Technology) attempts to explain the relationship between the factors of development.
</summary>
<dc:date>2014-12-30T00:00:00Z</dc:date>
</entry>
<entry>
<title>Spatial Diversification Of The Regional Expenses On Culture In Poland 2003-2012</title>
<link href="http://hdl.handle.net/11089/8429" rel="alternate"/>
<author>
<name>Suchecki, Adam Mateusz</name>
</author>
<id>http://hdl.handle.net/11089/8429</id>
<updated>2021-07-26T09:32:58Z</updated>
<published>2014-12-30T00:00:00Z</published>
<summary type="text">Spatial Diversification Of The Regional Expenses On Culture In Poland 2003-2012
Suchecki, Adam Mateusz
This paper focuses on the analysis of expenditure on culture covered by the provincial budgets, taking into consideration the structure of cultural institutions by their types in the years 2003, 2006, 2010 and 2012. To illustrate the diversity of the expenditure on culture by the type of the institutions in particular provinces, one applied the location quotient (LQ), which reflects a spatial distribution of expenditure on culture in relation to reference expenses incurred by the cultural institutions in Poland.
</summary>
<dc:date>2014-12-30T00:00:00Z</dc:date>
</entry>
<entry>
<title>The Application Of Local Indicators For Categorical Data (LICD) In The Spatial Analysis Of Economic Development</title>
<link href="http://hdl.handle.net/11089/8427" rel="alternate"/>
<author>
<name>Pietrzak, Michał B.</name>
</author>
<author>
<name>Wilk, Justyna</name>
</author>
<author>
<name>Bivand, Roger S.</name>
</author>
<author>
<name>Kossowski, Tomasz</name>
</author>
<id>http://hdl.handle.net/11089/8427</id>
<updated>2019-03-15T09:32:41Z</updated>
<published>2014-12-30T00:00:00Z</published>
<summary type="text">The Application Of Local Indicators For Categorical Data (LICD) In The Spatial Analysis Of Economic Development
Pietrzak, Michał B.; Wilk, Justyna; Bivand, Roger S.; Kossowski, Tomasz
Firstly, we identify classes of regions presenting different economic development levels using taxonomic methods of multivariate data analysis. Secondly, we apply a join-count test to examine spatial dependencies between regions. It examines the tendency to form the spatial clusters. The global test indicates general spatial interactions between regions, while local tests give detailed results separately for each region. The global test detects spatial clustering of economically poor regions but is statistically insignificant as regards well-developed regions. Thus, the local tests are also applied. They indicate the occurrence of five spatial clusters and three outliers in Poland. There are three clusters of wealth. Their development is based on a diffusion impact of regional economic centres. The areas of eastern and north western Poland include clusters of poverty. The first one is impeded by the presense of three indiviual growth centres, while the second one is out of range of diffusion influence of bigger agglomerations.
</summary>
<dc:date>2014-12-30T00:00:00Z</dc:date>
</entry>
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