Regional development assessment: A structural equation approach

Cziráky, Dario; Sambt, Jože; Rovan, Jože; Puljiz, Jakša

doi:10.1016/j.ejor.2005.03.012

Cited by 18 publications

(16 citation statements)

References 6 publications

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“…For the income dimension see the United Nations (1995); for employment, Molle and Boeckhout (1995); for employment equity, Cuadrado and Marcos (2005); for health, the World Bank (2001); for education, the United Nations Development Programme (1999); for research and science, Del Campo et al (2008); for information and communication technologies (ICTs), Somarriba and Pena (2009); for social environment, Aragon et al (2003); for transport infrastructure, Cziráky et al (2006); for environment, Soares et al (2003). There are clearly many different components that might be included in a measure of regional development, each of which could be measured in a wide variety of ways (Perrons, 2011, p. 9).…”

Section: Regions Databases and Indicatorsmentioning

confidence: 99%

An Index of Social and Economic Development in the Community's Objective-1 Regions of Countries in Southern Europe

Martín

Molina

Fernández

2012

European Planning Studies

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In this article we calculate an indicator of social and economic development using the DP 2 distance method to measure the disparities in Objective-1 regions of southern European countries for 2006. In addition to per capita income, socio-economic components such as health, education, employment, scientific and technological development and infrastructure provision have been incorporated into the index. We examine the issue of whether the Europe Union regions included in the Convergence Objective achieved a lower level of development than the regions no longer covered in this objective for the 2007-2013 programming period by establishing a territorial classification based on the value yielded by the variables of the DP 2 . Our indicator constitutes a novel contribution insofar as it was constructed using a large number of variables. In essence, we show that not all the regions of the Convergence Objective presented a lower level of economic and social development than those that lost this consideration between 2007 and 2013 and the opposite.

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Section: Regions Databases and Indicatorsmentioning

confidence: 99%

An Index of Social and Economic Development in the Community's Objective-1 Regions of Countries in Southern Europe

Martín

Molina

Fernández

2012

European Planning Studies

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“…Подаци су прибављени из електронске базе пописних публикација, комплексних публикација (Општине и региони у Републици Србији и Статистички годишњак Републике Србије) и виталне статистике Републичког завода за статистику (РЗС). Иако израчунавање демографског индекса и индекса образованости није ограничено само на коришћење података два узастопна пописа, полазећи од општег става да демографски индикатори засновани на пописима и статистици виталних догађаја обезбеђују најбољу слику (апроксимацију) стварних демографских кретања и тенденција (Cziraky, Sambt, Rovan, & Puljiz, 2005;Nikitović, 2013), коришћени су подаци са последњег пописа становништва у Републици Србији, спроведеног 2011. године, осим у случају варијабли код којих је другачије наведено у њиховом називу. Такође, бу-дући да РЗС од 1999. године не располаже подацима за управне округе у саставу АП Косово и Метохија, исти нису садржани у обухвату података и ауторским израчунавањима.…”

Section: просторни и временски обухват истраживања и извори податакаunclassified

Demographic Resources of Districts in the Republic of Serbia: Cluster Analysis Approach

Стаменковић

Веселиновић

Милановић

2018

TEME

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Bearing in mind how important demographic resources are for the socio-economic development of specific administrative-territorial units, the objective of this paper is to classify the districts in the Republic of Serbia according to the available demographic resources and to create an adequate typology of demographic areas, based on the comparison of values of relevant indicators of demographic and educational resources. These values were calculated using 14 demographic and educational variables, based mainly on the data from last census in 2011. For this purpose, hierarchical and non-hierarchical procedures of cluster analysis, as a method of multivariate statistical analysis, were used. The resulting typology and categorization clearly confirm the presence of unfavorable demographic tendencies and pronounced territorial disparities of demographic resources at the district level in the Republic of Serbia. More specifically, approximately 80% of the 25 analyzed districts belong to the type of demographically endangered areas, which are characterized by weak and very weak demographic resources. The obtained "snapshot" of the current demographic situation together with created typology of districts can serve as a useful source for understanding and monitoring of complex demographic phenomena and processes as well as for the definition of measures of population and regional development policies aimed at mitigating the effects of an alarming demographic situation.

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“…Российское предпринимательство, 16(14), 2285-2300. doi:10.18334/rp.16.14.527 Введение Развитие инструментария анализа и оценки преимуществ в развитии и размещении производительных сил регионов предполагает уточнение ряда теоретических положений, связанных с уточнением понятия сравнительных преимуществ в развитии и размещении производительных сил, рассмотрением их видов, а также методических аспектов разработки показателей оценки данных преимуществ (Гуров, Тимошко, 2011;Игнатьева, Мариев, 2013;Коротаева, Данченко-Морозова, 2015;Петрова, 2007;Полянин, 2011;Плисецкий, 2012;Савченко, 2013;Серкова, Мариев, Игнатьева, 2014;Тюренкова, 2014;Широбокова, 2013;Campo, Monteiro, Soares, 2008;Cziráky, Sambt, Rovan, Puljiz, 2006;Fan, Zhang, 2004;Goletsis, Chletsos, 2011;Harmaakorpi, Uotila, 2006;Malmborg, 2007;Potts, 2010;Soares, Marquês, Monteiro, 2003;Zarycki, 2007).…”

Section: ключевые слова: региональный анализ типологии социально-экunclassified

Методический Инструментарий Анализа Сравнительных Преимуществ Регионов В Развитии И Размещении Производительных Сил

Серкова¹,

Мариев²,

Игнатьева³

2015

Russian Journal of Entrepreneurship

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Статья посвящена анализу абсолютных и относительных преимуществ в развитии и размещении производительных сил на территориях российских регионов. Разработана методика для анализа и оценки сравнительных преимуществ российских регионов и приведены результаты расчетов согласно предложенной методике, а также проведен анализ преимуществ российских регионов по результатам расчетов.

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Regional development assessment: A structural equation approach

Cited by 18 publications

References 6 publications

An Index of Social and Economic Development in the Community's Objective-1 Regions of Countries in Southern Europe

An Index of Social and Economic Development in the Community's Objective-1 Regions of Countries in Southern Europe

Demographic Resources of Districts in the Republic of Serbia: Cluster Analysis Approach

Методический Инструментарий Анализа Сравнительных Преимуществ Регионов В Развитии И Размещении Производительных Сил

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