000129790 001__ 129790
000129790 005__ 20240111114816.0
000129790 0247_ $$2doi$$a10.1007/s00168-020-00992-6
000129790 0248_ $$2sideral$$a116738
000129790 037__ $$aART-2020-116738
000129790 041__ $$aeng
000129790 100__ $$0(orcid)0000-0002-2023-5726$$aGonzález-Val, Rafael$$uUniversidad de Zaragoza
000129790 245__ $$aAn annual estimate of spatially disaggregated populations: Spain, 1900-2011
000129790 260__ $$c2020
000129790 5060_ $$aAccess copy available to the general public$$fUnrestricted
000129790 5203_ $$aLong-term population estimates are usually based on decennial (or roughly decennial), census-type data, especially those that go beyond the aggregate or national level. The lack of annual population datasets, however, restricts the range of analysis and therefore our knowledge of populations’ behaviour over time. This paper contributes to this scant literature by providing two new long-term, annually and spatially disaggregated population estimates for Spain, a key case study. We use a set of official sources and propose a straightforward method to estimate Spanish annual populations at two levels of spatial disaggregation, the provinces (NUTS III) and their capital cities (a selection of LAU II/NUTS V), between 1900 and 2011. For the cities, our estimates account for changes in boundaries. Our proposed method is especially suitable for countries with a lack of long-term, systematic, historical migration statistics, a common issue. To test the robustness of our estimates, some comparisons are made with previous more aggregated-level or decennial census-based estimates, and a preliminary analysis of the evolution of disaggregated Spanish population is presented.
000129790 536__ $$9info:eu-repo/grantAgreement/ES/DGA/S16-ADETRE$$9info:eu-repo/grantAgreement/ES/DGA/S27$$9info:eu-repo/grantAgreement/ES/MINECO/ECO2015-65582$$9info:eu-repo/grantAgreement/ES/MINECO/ECO2017-82246-P$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/PGC2018-095529-B-I00$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/PGC2018-096640-B-I00$$9info:eu-repo/grantAgreement/ES/MINECO/PID2019-105014GA-I00
000129790 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000129790 590__ $$a2.646$$b2020
000129790 591__ $$aECONOMICS$$b115 / 375 = 0.307$$c2020$$dQ2$$eT1
000129790 591__ $$aGEOGRAPHY$$b42 / 85 = 0.494$$c2020$$dQ2$$eT2
000129790 591__ $$aENVIRONMENTAL STUDIES$$b78 / 125 = 0.624$$c2020$$dQ3$$eT2
000129790 592__ $$a0.721$$b2020
000129790 593__ $$aSocial Sciences (miscellaneous)$$c2020$$dQ1
000129790 593__ $$aEnvironmental Science (miscellaneous)$$c2020$$dQ1
000129790 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000129790 700__ $$0(orcid)0000-0003-0716-4713$$aSilvestre, Javier$$uUniversidad de Zaragoza
000129790 7102_ $$14000$$2415$$aUniversidad de Zaragoza$$bDpto. Análisis Económico$$cÁrea Fund. Análisis Económico
000129790 7102_ $$14008$$2480$$aUniversidad de Zaragoza$$bDpto. Estruc.Hª Econ.y Eco.Pb.$$cÁrea Hª e Instituc.Económ.
000129790 773__ $$g65, 2 (2020), 491-508$$pAnn. reg. sci.$$tAnnals of Regional Science$$x0570-1864
000129790 8564_ $$s672118$$uhttps://zaguan.unizar.es/record/129790/files/texto_completo.pdf$$yPostprint
000129790 8564_ $$s1194513$$uhttps://zaguan.unizar.es/record/129790/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000129790 909CO $$ooai:zaguan.unizar.es:129790$$particulos$$pdriver
000129790 951__ $$a2024-01-11-09:27:10
000129790 980__ $$aARTICLE