It is essential for sustainable economic development to comprehend how environmental factors impact public health. This study analyses this relationship in the context of Pakistan using long-term data. This study aims to determine how environmental factors influence health production function in Pakistan to enlighten policy decisions that can improve human life and advance the cause of sustainable development. We hypothesize, based on prior research, that urbanization and rainfall will increase life expectancy in Pakistan, while deforestation, temperature, and CO₂ emissions will decrease it. To verify our theory, we use the autoregressive distributed lag (ARDL) method to calculate the long-run association between the variables, as well as the Zivot–Andrews and Lee–Strazicich unit root tests to identify structural breaks. Utilizing the bound and Gregory–Hansen co-integration tests, co-integration is confirmed. According to ARDL estimates, there are statistically significant correlations between factors that affect Pakistan's life expectancy, such as deforestation, temperature, and CO₂ emissions, as well as rainfall and urbanization. The findings of this study underscore the importance of addressing environmental degradation and deforestation in Pakistan. For enhancing human life and achieving sustainable development objectives in the nation, it is essential to modernize forest laws and regulations and adopt eco-friendly technologies.

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估算巴​​基斯坦的健康生产函数：环境因素重要吗？

了解环境因素如何影响公众健康对于可持续经济发展至关重要。本研究使用长期数据在巴基斯坦背景下分析了这种关系。本研究旨在确定环境因素如何影响巴基斯坦的健康生产功能，为改善人类生活和推进可持续发展事业的政策决策提供启示。根据先前的研究，我们假设城市化和降雨量将增加巴基斯坦的预期寿命，而森林砍伐、气温和 CO ₂排放将减少预期寿命。为了验证我们的理论，我们使用自回归分布滞后（ARDL）方法来计算变量之间的长期关联，并使用 Zivot-Andrews 和 Lee-Strazicich 单位根检验来识别结构断裂。利用边界和 Gregory-Hansen 协整检验，确认了协整。根据ARDL的估计，影响巴基斯坦预期寿命的因素之间存在统计上显着的相关性，例如森林砍伐、气温、CO ₂排放以及降雨量和城市化程度。这项研究的结果强调了解决巴基斯坦环境退化和森林砍伐问题的重要性。为了改善人类生活并实现国家可持续发展目标，必须使森林法律法规现代化并采用生态友好型技术。