2019
DOI: 10.1007/s11205-019-02179-9
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Differences in the Environmental, Social and Economic Development of Polish–Lithuanian Trans-Border Regions

Abstract: Regional development is a complex process that can be analysed in various contexts, including environmental, social and economic factors. Variations in the levels of development are naturally observed across countries and regions, but they play a special role in trans-border regions. The aim of this study is to investigate differences in the level of development of two Polish voivodships (Warmia and Mazury, and Podlasie) and two Lithuanian counties (Marijampolė and Alytus) which are trans-border regions (NUTS … Show more

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Cited by 8 publications
(10 citation statements)
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References 27 publications
(30 reference statements)
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“…In recent research with industrial cases [41], weighted values were extracted using AHP methods for efficient environmental decision making. Pawlewicz et al [42] employed AHP to understand and evaluate a regional development process with environmental, social, and economic aspects. Hence, prioritizing such elements may inform regional development evaluation and policy.…”
Section: Methodsmentioning
confidence: 99%
“…In recent research with industrial cases [41], weighted values were extracted using AHP methods for efficient environmental decision making. Pawlewicz et al [42] employed AHP to understand and evaluate a regional development process with environmental, social, and economic aspects. Hence, prioritizing such elements may inform regional development evaluation and policy.…”
Section: Methodsmentioning
confidence: 99%
“…In order to create the index, the technique for order preference by similarity to ideal solution (TOPSIS) has been used. This method was developed by Hwaang and yoon (1981) and was used for creating synthetic indicators for regional development by Pawlewicz et al (2020) and Malinowski (2019). In our study, the following six steps were followed in order to create the SSRR index:…”
Section: Methodsmentioning
confidence: 99%
“…Step 6: Divide the regions into classes based on their results using the arithmetic mean and standard deviation. This is the same method as used by Fura and Wang (2017) and Pawlewicz et al (2020). The classes are divided by the following criteria: -Class I -structurally strong rural region when C i ≥ C i + S C i ; -Class II -moderately strong rural region when…”
Section: Methodsmentioning
confidence: 99%
“…In this study, the choice of the two countries was determined by the fact that until the 19th century, Lithuania and Poland functioned in Europe as The Republic of the Two Nations that had common law, many creators of art, historical and political personalities are considered a common cultural heritage, and before the Soviet occupation, a part of Lithuania was mostly Polish. In addition to the significant role played by Catholicism for a large share of citizens, which is related to civic self-awareness (Müller, 2011), comparing the nearest regions of Poland and Lithuania, Pawlewicz et al (2020) drew attention to the similarities in the socio-economic potential, as it was influenced by similar factors, including socio-economic change that took place in both states in the 1990s and the accession of states to the European Union in 2004. Some studies also show similarities in entrepreneurial problems (Greblikaite et al, 2016), education (Vandenheede et al, 2014) and values, which distinguish Lithuania and Poland from other post-Soviet states (Yen et al, 2020).…”
Section: Samplementioning
confidence: 99%