[论文解读] Can ethnic tolerance curb self-reinforcing school segregation? A theoretical Agent Based Model
该基于代理的模型研究了父母民族宽容度提高是否能减少自我强化的学校隔离现象,采用随机效用离散选择框架模拟家长的学校选择行为。结果显示,尽管当一半人口偏好融合学校时,学校隔离依然具有很强的稳定性,但存在一个‘最佳区间’,在此区间内更高的宽容度能显著减少隔离——尤其当学校距离是关键偏好因素且居住隔离程度适中时。
Schelling and Sakoda prominently proposed computational models suggesting that strong ethnic residential segregation can be the unintended outcome of a self-reinforcing dynamic driven by choices of individuals with rather tolerant ethnic preferences. There are only few attempts to apply this view to school choice, another important arena in which ethnic segregation occurs. In the current paper, we explore with an agent-based theoretical model similar to those proposed for residential segregation, how ethnic tolerance among parents can affect the level of school segregation. More specifically, we ask whether and under which conditions school segregation could be reduced if more parents hold tolerant ethnic preferences. We move beyond earlier models of school segregation in three ways. First, we model individual school choices using a random utility discrete choice approach. Second, we vary the pattern of ethnic segregation in the residential context of school choices systematically, comparing residential maps in which segregation is unrelated to parents' level of tolerance to residential maps reflecting their ethnic preferences. Thirdly, we introduce heterogeneity in tolerance levels among parents belonging to the same group. Our simulation experiments suggest that ethnic school segregation can be a very robust phenomenon, occurring even when about half of the population prefers mixed to segregated schools. However, we also identify a sweet spot in the parameter space in which a larger proportion of tolerant parents makes the biggest difference. This is the case when the preference for nearby schools weighs heavily in parents' utility function and the residential map is only moderately segregated. Further experiments are presented that unravel the underlying mechanisms.
研究动机与目标
- 探究父母民族宽容度的提升是否能减少自我强化的学校隔离现象。
- 采用随机效用离散选择方法对家长学校选择进行建模,以捕捉在不确定性下的个体决策过程。
- 比较居住隔离独立于父母宽容度与反映其民族偏好的两种情景。
- 在同一种族群体内引入宽容度的异质性,以反映现实世界中偏好的多样性。
- 识别宽容度最有效减少学校隔离的条件。
提出的方法
- 模型采用基于代理的仿真框架,模拟空间结构化环境中家长与学校的关系。
- 家长学校选择采用随机效用离散选择方法建模,效用取决于学校质量、距离以及民族构成。
- 系统性地改变居住地图,以代表不同水平和模式的民族隔离,既独立于也与父母偏好一致。
- 宽容度在不同种族群体内被建模为异质性,以允许对混合民族学校与同质学校偏好存在差异。
- 在不同参数配置下模拟重复的学校选择决策,以评估长期隔离结果。
- 在多个参数组合下运行仿真,以识别宽容度对隔离影响的临界点与转折点。
实验结果
研究问题
- RQ1在何种条件下,父母民族宽容度的提升能减少自我强化系统中的学校隔离?
- RQ2居住隔离与父母偏好的关系如何影响学校隔离结果?
- RQ3学校距离在调节宽容度对隔离影响方面发挥何种作用?
- RQ4种族群体内部宽容度的异质性是否改变宽容度减少隔离的有效性?
- RQ5参数空间中是否存在一个‘最佳区间’,使得宽容度能最大程度减少学校隔离?
主要发现
- 即使约50%的家长偏好混合学校而非隔离学校,民族学校隔离现象依然具有很强的稳定性。
- 当对邻近学校有强烈偏好且居住隔离程度仅为中等时,学校隔离出现显著减少。
- 在特定的‘最佳区间’参数空间中观察到隔离程度最显著的减少,此时宽容度较高但非普遍,且学校距离是学校选择的主要因素。
- 当居住隔离反映父母偏好时,宽容度对减少学校隔离的影响比居住模式独立于偏好的情景更为显著。
- 种族群体内部宽容度的异质性导致更复杂的隔离结果,但总体宽容度越高,隔离水平越低。
- 模型揭示,学校距离和中等程度的居住隔离在放大宽容度效益方面具有关键作用,表明政策干预应同时关注入学可及性与融合激励。
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