亚洲心理健康与商业环境之间的相互作用

Aribah Aslam, A. Qamar, Sana Raza
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摘要

心理健康不仅是一个心理问题,也会影响商业环境。基本的研究问题是,商业环境与心理健康是否有密切关系。我们提出了一个模型,表明心理健康取决于各种因素,包括心理健康本身、经济条件、教育、身体健康,以及重要的创建新企业。本研究探讨了创业对心理健康是有利还是有害这一引人关注的问题。 这取决于很多因素,比如一个人之前的感觉、经济状况、教育程度,甚至是法律制度的公平性。我们使用广义矩量法 (GMM) 建立的计量经济学模型仔细考虑了所有这些因素,以理解所提出问题的更大和更新颖的内涵,同时考虑到此类数据集可能出现的内生性问题。我们通过情绪健康和抑郁来衡量我们的主要因变量,即心理健康,而企业创建则通过环境、难易程度、集群、技能和工人可用性来评估。此外,这项针对亚洲国家的开创性研究表明,仅凭收入水平不足以预测心理健康结果。法律公平和商业友好环境在塑造心理健康方面发挥着令人惊讶的作用。通过分析身体健康、宏观经济决定因素和环境因素,该研究强调了影响心理健康结果的复杂相互作用。这项研究采用了新颖的变量和大型面板数据分析方法,为优化所有公民心理健康结果的政策和激励措施提供了新的视角。
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The Interplay Between Mental Health and the Business Environment in Asia
Mental health is not just a psychological issue, but it also affects Business Environment. The basic research question is to see if businesses environment and mental health have any strong relationship. We propose a model that suggests mental health depends on various factors, including mental well-being itself, economic conditions, education, physical health, and, importantly, creating new businesses. This study addresses  the  intriguing question  of  whether  starting  a  business is  beneficial  or  detrimental  to  mental health It depends on a lot of things, like how someone was feeling before, the state of the economy, their education, and even the fairness of the legal system. Our econometric model using Generalized Method of Moments (GMM) carefully takes all these factors into account to understand the bigger and novel picture of the question put forth, while taking care of the issue of endogeneity that may arise in such type of data sets. We measure our main dependent variable i.e. mental health through emotional well-being and depression, while business creation is assessed by environment, ease, clustering, skills, and worker availability. Furthermore, this groundbreaking study on a panel of Asian countries shows that income levels alone are not enough to predict mental health outcomes. Legal fairness and business-friendly environments play a surprising role in shaping mental wellness. By analyzing physical health, macroeconomic determinants, and environmental factors, the research highlights the complex interplay that affects mental health outcomes. The study's novel variables and large panel data analysis approach offer new insights into the policies and incentives that can optimize mental health outcomes for all citizens.
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