Perkins Douglas D, Ozgurer Mehmet Reha, Lupton Andrew, Omidvar-Tehrani Shadi
Department of Human and Organizational Development, Peabody College, Vanderbilt University, Nashville, TN, United States.
Front Psychol. 2021 Sep 17;12:745818. doi: 10.3389/fpsyg.2021.745818. eCollection 2021.
We propose and test a new model for predicting multiple quantitative measures of well-being globally at the country level based on the United Nations Human Development Index (HDI), income inequality (Net Gini), and National Happiness Index (NHI; U.N. Sustainable Development Solutions Network world survey of life satisfaction). HDI consists of per-capita Gross National Income (economic well-being), average life expectancy (proxy for health well-being), and educational attainment (capabilities well-being). Using data on 105 countries representing 95% of the world's population, a history of grassroots activism (Global Non-violent Action Database), civil liberties and political rights (Freedom Score), political and fiscal decentralization, and voter participation (Institute for Democracy and Electoral Assistance) correlate with HDI and NHI. Citizen volunteering (Gallup Civic Engagement Index) predicts only NHI. In multivariate analyses, Freedom Score is the most robust predictor of all well-being measures, including income equality. Fiscal decentralization and voter turnout also predict HDI and NHI, controlling for other influences. Based on prior analyses in the Global Development of Applied Community Studies project, implications and recommendations are discussed for developing community human research and professional resources across 12 disciplines in countries where they are needed based on social justice, citizenship, well-being, inequality, human rights, and other development challenges. We recommend individual and community-level and qualitative analyses of the above predictors' relationships with these same conceptualizations of well-being, as well as consideration of other social, cultural and political variables and their effect on well-being.
我们提出并测试了一种新模型,该模型基于联合国人类发展指数(HDI)、收入不平等(净基尼系数)和国民幸福指数(NHI;联合国可持续发展解决方案网络全球生活满意度调查),在国家层面预测全球福祉的多个量化指标。人类发展指数包括人均国民总收入(经济福祉)、平均预期寿命(健康福祉的代理指标)和教育程度(能力福祉)。利用代表世界95%人口的105个国家的数据,基层行动主义历史(全球非暴力行动数据库)、公民自由和政治权利(自由得分)、政治和财政分权以及选民参与度(民主与选举援助研究所)与人类发展指数和国民幸福指数相关。公民志愿服务(盖洛普公民参与指数)仅能预测国民幸福指数。在多变量分析中,自由得分是所有福祉指标(包括收入平等)最有力的预测指标。财政分权和选民投票率在控制其他影响因素的情况下,也能预测人类发展指数和国民幸福指数。基于应用社区研究项目全球发展中的先前分析,讨论了在基于社会正义、公民身份、福祉、不平等、人权和其他发展挑战而需要的国家,跨12个学科开发社区人类研究和专业资源的意义及建议。我们建议对上述预测指标与这些相同福祉概念之间的关系进行个体和社区层面的定性分析,同时考虑其他社会、文化和政治变量及其对福祉的影响。