Institut de Recherche pour le Développement, LEDa-DIAL Research Unit, IRD, Université Paris-Dauphine, PSL Research University, Paris, France.
Institute of Economics, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
PLoS One. 2024 Apr 18;19(4):e0288894. doi: 10.1371/journal.pone.0288894. eCollection 2024.
Brazil counts among the countries the hardest hit by the Covid-19 pandemic. A great deal has been said about the negative role played by President Bolsonaro's denialism, but relatively few studies have attempted to measure precisely what impact it actually had on the pandemic. Our paper conducts econometric estimates based on observational data at municipal level to quantitatively assess the 'Bolsonaro effect' over time from March 2020 to December 2022. To our knowledge, this paper presents the most comprehensive investigation of Bolsonaro's influence in the spread of the pandemic from two angles: considering Covid-19 mortality and two key transmission mitigation channels (social distancing and vaccination); and exploring the full pandemic cycle (2020-2022) and its dynamics over time. Controlling for a rich set of relevant variables, our results find a strong and persistent 'Bolsonaro effect' on the death rate: municipalities that were more pro-Bolsonaro recorded significantly more fatalities. Furthermore, evidence suggests that the president's attitude and decisions negatively influenced the population's behaviour. Firstly, pro-Bolsonaro municipalities presented a lower level of compliance with social distancing measures. Secondly, vaccination was relatively less widespread in places more in favour of the former president. Finally, our analysis points to longer-lasting and damaging repercussions. Regression results are consistent with the hypothesis that the 'Bolsonaro effect' impacted not only on Covid-19 vaccination, but has affected vaccination campaigns in general thereby jeopardizing the historical success of the National Immunization Program in Brazil.
巴西是受新冠疫情影响最严重的国家之一。人们对博索纳罗总统的否认主义所扮演的负面角色已经谈论了很多,但相对较少的研究试图准确衡量其对疫情的实际影响。我们的论文基于市级观测数据进行了计量经济学估计,以定量评估从 2020 年 3 月到 2022 年 12 月期间的“博索纳罗效应”。据我们所知,本文从两个角度对博索纳罗在疫情传播中的影响进行了最全面的调查:考虑新冠死亡率和两个关键的传播缓解渠道(社交距离和疫苗接种);并探讨了整个疫情周期(2020-2022 年)及其随时间的动态。在控制了一整套相关变量后,我们的结果发现博索纳罗对死亡率有很强且持续的“影响”:更支持博索纳罗的城市记录了明显更多的死亡人数。此外,有证据表明,总统的态度和决策对民众的行为产生了负面影响。首先,支持博索纳罗的城市在遵守社交距离措施方面的水平较低。其次,在更支持前总统的地方,疫苗接种的普及程度相对较低。最后,我们的分析表明存在更持久和更具破坏性的影响。回归结果与以下假设一致,即“博索纳罗效应”不仅影响了新冠疫苗接种,而且还影响了一般的疫苗接种活动,从而危及巴西国家免疫计划的历史成功。