官方贫困线之外的全球贫困：物质匮乏的有界估计
Global Poverty Beyond the Official Line: A bounded estimate of material insufficiency
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中文总结 AI 辅助
本报告指出世界银行极端贫困线低估了全球贫困，按各国发展水平标准衡量，约37亿人低于中高收入参考线，并强调数据质量问题导致官方统计偏向低估。
中文摘要 AI 辅助
如此庞大的数字容易引发一种防御性反应：抓住令人安心的数字，然后继续前行。根据最广泛引用的衡量标准，即世界银行设定的每天3.00美元（2021年购买力平价）的极端贫困线，2024年约有8.47亿人（占世界人口的10.4%）生活在贫困之中。这一数字按衡量标准是准确的，但按设计，它也是一个底线：一个旨在标记最贫困经济体中的勉强生存，而非描述一个家庭在任何地方获得基本安全保障所需条件的阈值。本报告的核心论点是，这条单一贫困线所提供的安慰在很大程度上是我们选择衡量方式的人为产物。若以3.00美元的底线衡量，约有8.47亿人处于贫困；若以其所在社会的标准衡量，这一数字则要大数倍，即使是最谨慎、最诚实的统计也超过10亿。若按照适合各国发展水平的收入标准衡量，约有37亿人低于世界银行每天8.30美元的中高收入参考线，约11亿人处于多维贫困，约23亿人面临粮食不安全。这些并非相互矛盾的错误，而是对不同问题的回答。本报告不质疑官方数据，而是将这些数字视为准确，并探讨它们捕捉到了什么、遗漏了什么。报告按地理、年龄和性别进行细分，并以粮食安全、工作贫困、社会保护和相对贫困等多维指标补充货币统计。报告还记录了一个单向的数据质量问题：调查覆盖在贫困最严重的地区较为薄弱，因此官方数字远比高估更可能低估贫困状况。
英文摘要
Numbers this large invite a defensive reflex: reach for the reassuring figure and move on. By the most widely cited measure, the World Bank's extreme-poverty line of \$3.00 per day (2021 PPP), approximately 847 million people, or 10.4% of the world's population, lived in poverty in 2024. That figure is accurate as measured. It is also, by design, a floor: a threshold built to mark bare survival in the poorest economies, not to describe what it takes for a family anywhere to live with basic security. The central argument of this report is that the reassurance offered by that single line is largely an artifact of how we chose to measure. Held to the \$3.00 floor, roughly 847 million people are poor; held to the standards of their own societies, the number is several times larger, and even the most cautious, honest count exceeds a billion. Measured against income standards appropriate to each country's level of development, some 3.7 billion people fall below the World Bank's \$8.30/day upper-middle-income reference line, roughly 1.1 billion are multidimensionally poor, and around 2.3 billion are food insecure. These are not competing errors but answers to different questions. This report does not dispute the official data. It takes those figures as accurate and asks what they do and do not capture. It disaggregates by geography, age, and gender and supplements the monetary count with multidimensional measures of food security, working poverty, social protection, and relative poverty. It also documents a data-quality problem that runs in one direction: survey coverage is weaker in regions with the worst poverty, so official figures are far likelier to understate deprivation than to overstate it.
