Department of Political Science, Loyola University Chicago, United States.
Department of Political Science, Loyola University Chicago, United States.
Int J Drug Policy. 2020 Jan;75:102595. doi: 10.1016/j.drugpo.2019.11.003. Epub 2019 Nov 15.
This analysis of county-level voting on 22 state referenda that sought to legalize marijuana for medical purposes or recreational use is driven by hypotheses from post-materialism theory. Separate regression models for each type of policy largely, though not entirely, support our expectations. Voting to legalize both medical and recreational marijuana was greater in counties with larger college-educated populations, a partisan preference for Democratic presidential candidates, and smaller percentages of Catholic, Protestant, and Evangelical adherents. The findings for age, the other primary driver of post-materialist values, are counter-intuitive, but holding these referenda during a U.S. presidential election year had statistically significant though different impacts on the outcome. The higher turnout during presidential elections seemingly facilitated voting in favor of recreational marijuana while lower turnouts during non-presidential elections aided voting for medical marijuana. Finally, population density was not statistically significant in either model.
这篇分析了 22 个州的县级投票的报告，这些投票旨在将大麻合法化用于医疗目的或娱乐用途，其理论基础是后物质主义理论。针对每种类型政策的单独回归模型在很大程度上（尽管并非完全）支持了我们的预期。在拥有更多受过大学教育的人口、对民主党总统候选人持党派偏好以及天主教、新教和福音派信徒比例较小的县，投票支持医用大麻和娱乐用大麻合法化的比例更高。年龄是后物质主义价值观的另一个主要驱动因素，其结果却与直觉相悖，但在总统选举年举行这些公投对结果产生了具有统计学意义但不同的影响。在总统选举期间，更高的投票率似乎有利于娱乐用大麻合法化，而在非总统选举期间，更低的投票率则有利于医用大麻合法化。最后，在这两个模型中，人口密度都没有统计学意义。
