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Bridging the gap between pre-census and census-era historical data: devising a geo-sampling model to analyse agricultural production in the long run for Southeast Europe, 1840–1897

Authors :
Grigor Boykov
Piet Gerrits
M. Erdem Kabadayi
Kabadayı, Mustafa Erdem (ORCID 0000-0003-3206-0190 & YÖK ID 33267)
Boykov, Grigor
Gerrits, Piet
College of Social Sciences and Humanities
Department of History
Source :
International Journal of Humanities and Arts Computing
Publication Year :
2020
Publisher :
Edinburgh University Press, 2020.

Abstract

This research introduces a novel geo-spatial sampling model to overcome a major difficulty in historical economic geography of Bulgarian lands during a crucial period: immediately before and after the de facto independence of the territory from the Ottoman Empire in the second half of the nineteenth century. At its core it seeks to investigate the research question how the Bulgarian independence affected agricultural production in two regions (centered around the cities of Plovdiv and Ruse) of today's Bulgaria, for which there are conflicting yet empirically unsubstantiated claims concerning the economic impact of the political independence. Using our be-spoke geo-sampling strategy we believe, we have sampled regionally representative commensurable agricultural data from the 1840s Ottoman archival documentation, in accord with agricultural censuses conducted by the nascent nation state of Bulgaria in the 1890s.<br />European Union (EU); Horizon 2020; European Research Council (ERC); Research and innovation Programme; Project: "Industrialisation and Urban Growth from the mid-nineteenth century Ottoman Empire to Contemporary Turkey in a Comparative Perspective, 1850-2000"; UrbanOccupationsOETR

Details

Language :
English
Database :
OpenAIRE
Journal :
International Journal of Humanities and Arts Computing
Accession number :
edsair.doi.dedup.....5f0f2c68eb062a69769f44a5cc467ee4