Hypotheses
- 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.
Related Hypotheses Cite More By Author - 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.
Related Hypotheses Cite More By Author - 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.
Related Hypotheses Cite More By Author - Coastal distance will be negatively associated with property ownership.Kavanaugh, 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.
Related Hypotheses Cite More By Author - 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.
Related Hypotheses Cite More By Author - 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.
Related Hypotheses Cite More By Author - 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.
Related Hypotheses Cite More By Author - 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.
Related Hypotheses Cite More By Author - 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.
Related Hypotheses Cite More By Author - Societies depending on agriculture for primary subsistence can be divided into distinct economic groups based on significant positive associations with varying institutions of property and distribution. (102)Frederic L. Pryor - Economic Systems of Foraging, Agricultural, and Industrial Societies, 2005 - 23 Variables
The second and third parts of this book classify the economic systems of foraging and agricultural societies in the SCCS based on correlations between their institutions of property an distribution. These economic types are then examined for relationships with other social, political, demographic, and environmental factors in order to draw tentative conclusions regarding the origins of the Agricultural and Industrial Revolutions. The fourth part of the book uses cross-national data to examine similar associations in industrial/service economies, and is not included here.
Related Hypotheses Cite More By Author