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1. 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.

Author

Kabadayi, M. Erdem, Gerrits, Piet, and Boykov, Grigor

Subjects
AGRICULTURAL productivity, ECONOMIC geography, OTTOMAN Empire, EMPIRICAL research
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. [ABSTRACT FROM AUTHOR]

Published
2020
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2. 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

Author

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, and Department of History

Subjects
Bridging (networking), Humanities, Computer science, Interdisciplinary applications, General Computer Science, General Arts and Humanities, 010401 analytical chemistry, Sampling (statistics), 020206 networking & telecommunications, 02 engineering and technology, Census, 01 natural sciences, language.human_language, 0104 chemical sciences, Human-Computer Interaction, Geography, Ottoman empire, Pre-census data, Geo-sampling, Spatial data calibration, Agricultural suitability, Connectivity, Ottoman Empire, Bulgaria, 0202 electrical engineering, electronic engineering, information engineering, language, Period (geology), Regional science, Bulgarian, Agricultural productivity
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., 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

Published
2020

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