Drivers of global variation in land ownership

Ecography • Vol/Iss. 44 • Wiley • New Jersey • Published In • Pages: 67-74 •
By Kavanaugh, Patrick, Haynie, Hannah J., Kushnick, Geoff, Vilela, Bruno, Tuff, Ty, Bowern, Claire , Low, Bobbi S., Ember, Carol R., Kirby, Kathryn R. , Botero, Carlos A. , Gavin, Michael C.

Abstract

Using multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.

Samples

Sample Used Coded Data Comment
eHRAF World CulturesResearcher's ownNew codes on land ownership
Standard Cross Cultural Sample (SCCS)Other researcher's
Ethnographic Atlas (EA)Other researcher'sNew environmental variables using principal component analysis

Hypotheses (10)

HypothesisSupported
Nearest neighbor's property system will have a positive association with property ownershipSupported
Population density will be positively associated with property ownershipSupported
Mountainous terrain will have a positive association with property ownershipSupported
Environmental productivity will be positively associated with land ownershipNot supported
Coastal distance will be negatively associated with property ownership.Not supported
Unpredictability of resources will be negatively associated with property ownershipNot supported
Permanency of settlement patterns will be positively associated with land ownershipNot supported
Political complexity will be positively associated with property ownershipNot supported
Reliance on domestication will be positively associated with property ownershipNot supported
Use of intensive agriculture will be positively associated with property ownershipNot supported
Documents and Hypotheses Filed By:  Benjamin.gonzalez  anj.droe