Found 3199 Hypotheses across 320 Pages (0.037 seconds)
  1. Unpredictability of resources will be negatively associated with property ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables

    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.

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  2. Environmental productivity will be positively associated with land ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables

    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.

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  3. Population density will be positively associated with property ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables

    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.

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  4. Political complexity will be positively associated with property ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables

    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.

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  5. Reliance on domestication will be positively associated with property ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables

    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.

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  6. Use of intensive agriculture will be positively associated with property ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables

    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.

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  7. Permanency of settlement patterns will be positively associated with land ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables

    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.

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  8. Nearest neighbor's property system will have a positive association with property ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables

    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.

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  9. Mountainous terrain will have a positive association with property ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables

    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.

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  10. A variety of ecological, economic, and anthropological factors will predict the prevalence of land ownership.Kavanagh, Patrick H. - Drivers of global variation in land ownership, 2021 - 11 Variables

    The article discusses the role of land ownership in natural resource management and social-ecological resilience, and explores the factors that determine ownership norms in human societies. The study tests long-standing theories from ecology, economics, and anthropology regarding the potential drivers of land ownership, including resource defensibility, subsistence strategies, population pressure, political complexity, and cultural transmission mechanisms. Using cultural and environmental data from 102 societies, the study found an increased probability of land ownership in mountainous environments and societies with higher population densities. The study also found support for the idea that neighboring societies might influence land ownership. However, there was less support for variables associated with subsistence strategies and political complexity.

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