• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于分析欧洲地区社会经济区域差异的地理空间数据集。

Geospatial dataset for analyzing socio-economic regional divergence of European regions.

作者信息

Mikhaylov Andrey S, Mikhaylova Anna A, Kuznetsova Tatyana Yu

机构信息

Immanuel Kant Baltic Federal University, 23016 Kaliningrad, Russian Federation.

出版信息

Data Brief. 2018 Jul 19;19:2374-2383. doi: 10.1016/j.dib.2018.07.027. eCollection 2018 Aug.

DOI:10.1016/j.dib.2018.07.027
PMID:30229111
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6141487/
Abstract

This data article presents macroeconomic data that can be used for comparative territorial studies. The data cover a sample of 413 regions (national administrative-territorial units corresponding to second level of a common classification of territorial units for statistics of the European Commission - NUTS 2 level region of the European Union, and comparable administrative-territorial units outside the EU) of 48 European countries, including Cyprus, Turkey, the European part of Russia, and two partially recognized states - the Republic of Kosovo and the Pridnestrovian Moldavian Republic. The statistical database covers a five-year period of 2010-2014. This dataset is created to enhance our understanding of the contemporary coastalization dynamics in Europe. Despite the fact that coastal regions of European countries exhibit an extensive level of development and remain attractive to human settlement, industry localization, and investment flows their contribution to the socio-economic development of Europe is unclear. The reported data cover a series of macroeconomic data on key indicators traditionally used in comparative analysis of regional development: average annual population, gross regional product (GRP) in purchasing power parity (PPP), labor productivity, population density and GRP (PPP) values per sq.km. Accounting for differences in geoeconomic position of the European regions enables to distinguish four subtypes of regions with a particular emphasis on the coastal area: coastal border, coastal other, coastal hinterland, and inland other. An additional focus is made on differentiating the performance indicators of regions depending on their border geo-economic position: border regions with a state border over land, lake or river surface, and midland regions - other non-border regions. This data is to be used as a comparative benchmark for the coastal border subgroup of regions against the totality of border and midland regions.

摘要

本数据文章呈现了可用于比较性区域研究的宏观经济数据。这些数据涵盖了48个欧洲国家的413个地区(国家行政领土单位,对应欧盟委员会领土单位统计通用分类的二级——欧盟NUTS 2级地区,以及欧盟以外类似的行政领土单位),包括塞浦路斯、土耳其、俄罗斯的欧洲部分,以及两个部分得到承认的国家——科索沃共和国和德涅斯特河沿岸摩尔达维亚共和国。统计数据库涵盖2010 - 2014年的五年期。创建此数据集是为了增进我们对欧洲当代沿海化动态的理解。尽管欧洲国家的沿海地区展现出较高的发展水平,并且对人类定居、产业布局和投资流动仍具吸引力,但其对欧洲社会经济发展的贡献尚不明晰。所报告的数据涵盖了一系列传统上用于区域发展比较分析的关键指标的宏观经济数据:年均人口、购买力平价(PPP)下的地区生产总值(GRP)、劳动生产率、人口密度以及每平方公里的GRP(PPP)值。考虑到欧洲各地区地缘经济位置的差异,能够区分出四种地区亚型,尤其着重于沿海地区:沿海边境地区、其他沿海地区、沿海腹地地区和其他内陆地区。另外还着重根据各地区的边境地缘经济位置区分其绩效指标:有陆地、湖泊或河流表面国界的边境地区,以及内陆地区——其他非边境地区。这些数据将用作沿海边境地区子组相对于所有边境地区和内陆地区的比较基准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f37/6141487/20ec80c13e7d/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f37/6141487/0437c3e0a879/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f37/6141487/20ec80c13e7d/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f37/6141487/0437c3e0a879/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f37/6141487/20ec80c13e7d/gr2.jpg

相似文献

1
Geospatial dataset for analyzing socio-economic regional divergence of European regions.用于分析欧洲地区社会经济区域差异的地理空间数据集。
Data Brief. 2018 Jul 19;19:2374-2383. doi: 10.1016/j.dib.2018.07.027. eCollection 2018 Aug.
2
Macroeconomic dataset for comparative studies on coastal and inland regions in innovation space of Russia.俄罗斯创新空间中沿海和内陆地区比较研究的宏观经济数据集。
Data Brief. 2019 Oct 14;27:104640. doi: 10.1016/j.dib.2019.104640. eCollection 2019 Dec.
3
Assessment of the Living Conditions in Polish and German Transborder Regions in the Context of Strengthening Territorial Cohesion in the European Union: Competitiveness or Complementation?从加强欧盟领土凝聚力的角度评估波兰和德国边境地区的生活条件:竞争力还是互补性?
Soc Indic Res. 2022;163(1):29-59. doi: 10.1007/s11205-022-02889-7. Epub 2022 Feb 10.
4
The European NUTS-level election dataset: A tool to map European electoral geography.欧洲NUTS级别选举数据集:绘制欧洲选举地理的工具。
Party Politics. 2023 May;29(3):570-579. doi: 10.1177/13540688221083553. Epub 2022 Apr 15.
5
Health indicators in the European regions: expanding regional comparisons to the new countries of the European Union - ISARE III.欧洲各地区的健康指标:将地区比较扩展至欧盟新成员国——国际成人读写能力调查第三次评估
Public Health. 2009 Jul;123(7):490-5. doi: 10.1016/j.puhe.2009.05.007. Epub 2009 Jul 16.
6
[Current malaria situation in the Republic of Kazakhstan].[哈萨克斯坦共和国当前的疟疾形势]
Med Parazitol (Mosk). 2001 Jan-Mar(1):24-33.
7
Emissions of pesticides in the European Union: a new regional-level dataset.欧盟的农药排放:一个新的区域水平数据集。
Sci Data. 2023 Dec 5;10(1):869. doi: 10.1038/s41597-023-02753-4.
8
Constructing a meteorological indicator dataset for selected European NUTS 3 regions.为选定的欧洲NUTS 3地区构建气象指标数据集。
Data Brief. 2020 May 29;31:105786. doi: 10.1016/j.dib.2020.105786. eCollection 2020 Aug.
9
Have regional inequalities in life expectancy widened within the European Union between 1991 and 2008?1991年至2008年间,欧盟内部预期寿命的地区不平等现象是否加剧了?
Eur J Public Health. 2014 Jun;24(3):357-63. doi: 10.1093/eurpub/ckt084. Epub 2013 Jun 27.
10
Impact of cigarette price differences across the entire European Union on cross-border purchase of tobacco products among adult cigarette smokers.整个欧盟范围内香烟价格差异对成年吸烟者跨境购买烟草制品的影响。
Tob Control. 2016 May;25(3):333-40. doi: 10.1136/tobaccocontrol-2014-052015. Epub 2015 Feb 6.

引用本文的文献

1
Data describing the regional Industry 4.0 readiness index.描述区域工业4.0就绪指数的数据。
Data Brief. 2020 Oct 27;33:106464. doi: 10.1016/j.dib.2020.106464. eCollection 2020 Dec.