STDC.1

1) The main hypothesis indicates that tourism destination competitiveness exerts a mediating effect between community social capital and social prosperity perception, at indigenous Mexican communities.
The sample was made up of 11 indigenous communities with touristic activities, associated with the Indigenous Tourism Network of Mexico (RITA). To collect data we use the non-probabilistic snowball technique and the number of observation units was 113.
2) To obtain data, a survey was developed, theoretical concepts were operationalized and Bourgaduos social distance scale was used.
Each latent variable was made up of its underlying dimensions and in turn, these were formed with their respective items. To build the factors of each variable, the factorial analysis was used with the varimax extraction method (SPSS). Reliability was measured by Cronbach's alpha coefficient. The relationship between constructs was analysed with the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique. According to pls theory, we used a reflective model and to run the model, the PLS algorithm was used. The lost values were identified as -0.99 and the algorithm that replaced them is called Case Wise Replacement. The PLS algorithm was used for Weighting Scheme were Path Weighting Scheme; Data Metric, mean 0, Var 1; maximum iterations were 500 as this is consistent with the recommendations made by Hair et al., (2019).
3) The interpretation of the results for the study context indicates that community social capital does not have a direct relationship with the perception of social prosperity, however, the indirect relationship through competitiveness indicates a mediating effect.

主要假设指出，旅游目的地竞争力在社区社会资本与社会繁荣感知之间发挥着中介作用，这一作用在墨西哥土著社区中尤为显著。样本由11个具有旅游活动的土著社区组成，这些社区与墨西哥土著旅游网络（RITA）相关联。数据收集过程中，我们采用了非概率性的雪球抽样技术，观察单位数量为113。为了获取数据，我们设计了一份调查问卷，将理论概念进行操作化，并采用了Bourguignon的社会距离量表。每个潜在变量由其基础维度构成，而这些维度又依次由相应的项目组成。为了构建每个变量的因素，我们采用了方差最大化提取方法（SPSS）进行因子分析。可靠性通过Cronbach's α系数进行测量。结构之间关系分析采用偏最小二乘结构方程模型（PLS-SEM）技术。根据PLS理论，我们使用了反映性模型，并使用PLS算法运行模型。丢失的值被识别为-0.99，用于替换这些值的算法被称为个案替换。在加权方案方面，PLS算法使用了路径加权方案；数据度量，均值为0，方差为1；最大迭代次数为500，这与Hair等人（2019年）提出的建议相一致。对于研究背景的结果解释表明，社区社会资本与社会繁荣感知之间不存在直接关系，然而，通过竞争力这一中介途径所体现的间接关系，则揭示了其中介作用。