<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5" xml:lang="en"><docDscr><citation><titlStmt><titl xml:lang="en">Agricultural System in Mato Grosso, Brazil, 2006</titl><IDNo agency="DOI">doi:10.60507/FK2/WQ1EAY</IDNo></titlStmt><distStmt><distrbtr source="archive">bonndata</distrbtr><distDate>2023-09-18</distDate></distStmt><verStmt source="archive"><version date="2023-09-18" type="RELEASED">1</version></verStmt><biblCit>Javier Miranda, 2023, "Agricultural System in Mato Grosso, Brazil, 2006", https://doi.org/10.60507/FK2/WQ1EAY, bonndata, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl xml:lang="en">Agricultural System in Mato Grosso, Brazil, 2006</titl><IDNo agency="DOI">doi:10.60507/FK2/WQ1EAY</IDNo><IDNo agency="ZEF Data Portal">ce6e102f-eeec-491f-9563-0975ef4a29e1</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn">Javier Miranda</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">bonndata</distrbtr><contact affiliation="Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn" email="javmi@yahoo.com">Javier Miranda</contact></distStmt><holdings URI="https://doi.org/10.60507/FK2/WQ1EAY"/></citation><stdyInfo><subject><keyword xml:lang="en">Other</keyword><topcClas vocab="GEMET - Concepts, version 2.4">land use</topcClas><topcClas vocab="GEMET - Concepts, version 2.4">agricultural production</topcClas><topcClas vocab="GEMET - Concepts, version 2.4">conservation policy</topcClas><topcClas vocab="GEMET - Concepts, version 2.4">elasticity</topcClas></subject><abstract xml:lang="en">Tropical forest loss remains a major environmental trade-off vis-à-vis the provision of food, feed, fiber, and bioenergy for an increasingly affluent world population. The effectiveness of agricultural intensification as a key strategy to manage and mitigate this trade-off is, however, contested. Increasing productivity can lead to either land expansion or land-saving depending on context-specific factors, such as land and output market conditions, the type of technology being used, and institutional arrangements including conservation policy. This dataset is used to investigate economic mechanisms behind intensification and land use decisions based on agricultural census data from the Brazilian state of Mato Grosso, a region known for large-scale soy and cattle production with both consolidated and unconsolidated agricultural frontiers taking place in three different biomes.

Quality/Lineage: Various sources of secondary data were used to create this database. Mainly the Brazilian agricultural census of 2006 and the agricultural surveys between 2004-2006. All data was processed using R and Rstudio.</abstract><sumDscr><timePrd cycle="P1" event="start" date="2006-01-01">2006-01-01</timePrd><timePrd cycle="P1" event="end" date="2006-12-31">2006-12-31</timePrd><collDate cycle="P1" event="start" date="2006-12-28">2006-12-28</collDate><collDate cycle="P1" event="end" date="2006-12-28">2006-12-28</collDate><nation>Brazil</nation><geogCover>Mato Grosso</geogCover><geoBndBox><westBL>-61.61528015136719</westBL><eastBL>-50.232505798339844</eastBL><southBL>-18.03805923461914</southBL><northBL>-7.339167594909668</northBL></geoBndBox></sumDscr><notes>This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={ce6e102f-eeec-491f-9563-0975ef4a29e1}.&lt;br/>
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