The IPCC's 6th assessment report (AR6) has provided a wide range of variables and scenarios that meet climate targets of varying ambition. Many variables reported in the AR6 affect human welfare through climate change and mitigation, including but not limited to economic output, the natural environment, human health, and food and energy supply. In some of these dimensions, trade-offs exist between better performance in welfare-relevant dimensions and reaching more ambitious climate targets. Here, we apply recent advances in the theoretical multidimensional measurement of welfare, like the Human Development Index, to the AR6 database. The welfare metric is based on a welfare function approach, simple to apply, and intuitive. We apply a range of specifications of the welfare metric, aiming to derive robust rankings of climate policy targets that perform best in terms of the multidimensional welfare index. Across a large range of weights on welfare-relevant variables, we find that lower temperature is associated with higher welfare in 2100 unless there is a high weight on food supply.

中文翻译：

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多维福利指数与IPCC第六次评估报告情景

IPCC 第六次评估报告（AR6）提供了广泛的变量和情景，以满足不同雄心勃勃的气候目标。 AR6 中报告的许多变量通过气候变化和减缓影响人类福祉，包括但不限于经济产出、自然环境、人类健康以及粮食和能源供应。在其中一些方面，福利相关方面的更好表现和实现更雄心勃勃的气候目标之间存在权衡。在这里，我们将人类发展指数等多维福利衡量理论的最新进展应用到 AR6 数据库中。福利指标基于福利函数方法，应用简单且直观。我们应用一系列福利指标规范，旨在得出在多维福利指数方面表现最佳的气候政策目标的稳健排名。在与福利相关的变量的大范围权重中，我们发现 2100 年较低的气温与较高的福利相关，除非食品供应的权重较高。