波兰的劳动力市场区域

Maciej Ryczkowski, Paweł Stopiński
{"title":"波兰的劳动力市场区域","authors":"Maciej Ryczkowski, Paweł Stopiński","doi":"10.5604/01.3001.0014.0544","DOIUrl":null,"url":null,"abstract":"The aim of the article is to delineate Labour Market Areas (LMAs) in Poland with the use of the European version of the Travel to Work Areas (EU-TTWA) methodology that was developed under Eurostat auspices. We received over 300 areas that consist of LAU-2 units (gminas) – the smallest administrative regions in Poland. We discuss Poland-specific results and problems. We compare numbers of LMAs in countries with EU-TTWA-delineated LMAs in relation to population density, total population and area. We propose the taxonomic rank method to select the parameter values for the EU-TTWA algorithm. LMAs may deliver useful spatial information, although one needs to account for their heterogeneity.\n\n","PeriodicalId":357447,"journal":{"name":"Przegląd Statystyczny","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Labour Market Areas in Poland\",\"authors\":\"Maciej Ryczkowski, Paweł Stopiński\",\"doi\":\"10.5604/01.3001.0014.0544\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of the article is to delineate Labour Market Areas (LMAs) in Poland with the use of the European version of the Travel to Work Areas (EU-TTWA) methodology that was developed under Eurostat auspices. We received over 300 areas that consist of LAU-2 units (gminas) – the smallest administrative regions in Poland. We discuss Poland-specific results and problems. We compare numbers of LMAs in countries with EU-TTWA-delineated LMAs in relation to population density, total population and area. We propose the taxonomic rank method to select the parameter values for the EU-TTWA algorithm. LMAs may deliver useful spatial information, although one needs to account for their heterogeneity.\\n\\n\",\"PeriodicalId\":357447,\"journal\":{\"name\":\"Przegląd Statystyczny\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Przegląd Statystyczny\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5604/01.3001.0014.0544\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Przegląd Statystyczny","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5604/01.3001.0014.0544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文的目的是通过使用欧洲版本的工作区域旅行(EU-TTWA)方法来划定波兰的劳动力市场区域(LMAs),该方法是在欧盟统计局主持下开发的。我们收到了300多个由波兰最小的行政区域- -第2法律单位(gminas)组成的地区。我们讨论波兰特有的结果和问题。我们比较了欧盟ttwa划定的lma国家的lma数量与人口密度、总人口和面积的关系。针对EU-TTWA算法的参数选择问题,提出了分类排序法。lma可以提供有用的空间信息,尽管需要考虑到它们的异质性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Labour Market Areas in Poland
The aim of the article is to delineate Labour Market Areas (LMAs) in Poland with the use of the European version of the Travel to Work Areas (EU-TTWA) methodology that was developed under Eurostat auspices. We received over 300 areas that consist of LAU-2 units (gminas) – the smallest administrative regions in Poland. We discuss Poland-specific results and problems. We compare numbers of LMAs in countries with EU-TTWA-delineated LMAs in relation to population density, total population and area. We propose the taxonomic rank method to select the parameter values for the EU-TTWA algorithm. LMAs may deliver useful spatial information, although one needs to account for their heterogeneity.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Impact of a priori positive information on the results of voting methods Comparison of the accuracy of forecasts bsed on neural networks before and after the outbreak of the COVID-19 pandemic on the example of selected exchange rates Estimation of Yu and Meyer bivariate stochastic volatility model by iterated filtering Sample size in clinical trials – challenges and approaches Alternative investments during turbulent times comparison of dynamic relationship
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1