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Multi-level modelling of time-series cross-sectional data reveals the dynamic interaction between ecological threats and democratic development
What is the relationship between environment and democracy? The framework of cultural evolution suggests that societal development is an adaptation to ecological threats. Pertinent theories assume that democracy emerges as societies adapt to ecological factors such as higher economic wealth, lower p...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137969/ https://www.ncbi.nlm.nih.gov/pubmed/32269802 http://dx.doi.org/10.1098/rsos.191804 |
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author | Kusano, Kodai Kemmelmeier, Markus |
author_facet | Kusano, Kodai Kemmelmeier, Markus |
author_sort | Kusano, Kodai |
collection | PubMed |
description | What is the relationship between environment and democracy? The framework of cultural evolution suggests that societal development is an adaptation to ecological threats. Pertinent theories assume that democracy emerges as societies adapt to ecological factors such as higher economic wealth, lower pathogen threats, less demanding climates and fewer natural disasters. However, previous research confused within-country processes with between-country processes and erroneously interpreted between-country findings as if they generalize to within-country mechanisms. We analyse a time-series cross-sectional dataset to study the dynamic relationship between environment and democracy (1949–2016), accounting for previous misconceptions in levels of analysis. By separating within-country processes from between-country processes, we find that the relationship between environment and democracy not only differs by country but also depends on the level of analysis. Economic wealth predicts increasing levels of democracy in between-country comparisons, but within-country comparisons show that democracy declines in years when countries become wealthier. This relationship is only prevalent among historically wealthy countries but not among historically poor countries, whose wealth also increased over time. By contrast, pathogen prevalence predicts lower levels of democracy in both between-country and within-country comparisons. Multi-level modelling also confirms that the within-country effect of pathogen prevalence remains robust even after considering a region-level analysis. Longitudinal analyses identifying temporal precedence reveal that not only reductions in pathogen prevalence drive future democracy, but also democracy reduces future pathogen prevalence and increases future wealth. These nuanced results contrast with previous analyses using narrow, cross-sectional data. Overall, our findings illuminate the dynamic process by which environment and democracy shape each other. |
format | Online Article Text |
id | pubmed-7137969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-71379692020-04-08 Multi-level modelling of time-series cross-sectional data reveals the dynamic interaction between ecological threats and democratic development Kusano, Kodai Kemmelmeier, Markus R Soc Open Sci Psychology and Cognitive Neuroscience What is the relationship between environment and democracy? The framework of cultural evolution suggests that societal development is an adaptation to ecological threats. Pertinent theories assume that democracy emerges as societies adapt to ecological factors such as higher economic wealth, lower pathogen threats, less demanding climates and fewer natural disasters. However, previous research confused within-country processes with between-country processes and erroneously interpreted between-country findings as if they generalize to within-country mechanisms. We analyse a time-series cross-sectional dataset to study the dynamic relationship between environment and democracy (1949–2016), accounting for previous misconceptions in levels of analysis. By separating within-country processes from between-country processes, we find that the relationship between environment and democracy not only differs by country but also depends on the level of analysis. Economic wealth predicts increasing levels of democracy in between-country comparisons, but within-country comparisons show that democracy declines in years when countries become wealthier. This relationship is only prevalent among historically wealthy countries but not among historically poor countries, whose wealth also increased over time. By contrast, pathogen prevalence predicts lower levels of democracy in both between-country and within-country comparisons. Multi-level modelling also confirms that the within-country effect of pathogen prevalence remains robust even after considering a region-level analysis. Longitudinal analyses identifying temporal precedence reveal that not only reductions in pathogen prevalence drive future democracy, but also democracy reduces future pathogen prevalence and increases future wealth. These nuanced results contrast with previous analyses using narrow, cross-sectional data. Overall, our findings illuminate the dynamic process by which environment and democracy shape each other. The Royal Society 2020-03-18 /pmc/articles/PMC7137969/ /pubmed/32269802 http://dx.doi.org/10.1098/rsos.191804 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Psychology and Cognitive Neuroscience Kusano, Kodai Kemmelmeier, Markus Multi-level modelling of time-series cross-sectional data reveals the dynamic interaction between ecological threats and democratic development |
title | Multi-level modelling of time-series cross-sectional data reveals the dynamic interaction between ecological threats and democratic development |
title_full | Multi-level modelling of time-series cross-sectional data reveals the dynamic interaction between ecological threats and democratic development |
title_fullStr | Multi-level modelling of time-series cross-sectional data reveals the dynamic interaction between ecological threats and democratic development |
title_full_unstemmed | Multi-level modelling of time-series cross-sectional data reveals the dynamic interaction between ecological threats and democratic development |
title_short | Multi-level modelling of time-series cross-sectional data reveals the dynamic interaction between ecological threats and democratic development |
title_sort | multi-level modelling of time-series cross-sectional data reveals the dynamic interaction between ecological threats and democratic development |
topic | Psychology and Cognitive Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137969/ https://www.ncbi.nlm.nih.gov/pubmed/32269802 http://dx.doi.org/10.1098/rsos.191804 |
work_keys_str_mv | AT kusanokodai multilevelmodellingoftimeseriescrosssectionaldatarevealsthedynamicinteractionbetweenecologicalthreatsanddemocraticdevelopment AT kemmelmeiermarkus multilevelmodellingoftimeseriescrosssectionaldatarevealsthedynamicinteractionbetweenecologicalthreatsanddemocraticdevelopment |