一种新的贫困衡量方式显示美国落后于欧洲。
A new way to measure poverty shows the US falling behind Europe

原始链接: https://www.euronews.com/business/2026/03/29/a-new-way-to-measure-poverty-shows-the-us-falling-behind-europe

## 美国贫困率出乎意料地高,尽管经济在增长 传统的经济衡量标准在比较贫困水平时可能具有误导性。牛津经济学家奥利维尔·斯特克开发了“平均贫困”——即赚取1美元(按购买力调整)所需的平均时间——以提供新的视角。他的研究表明,尽管平均收入较高,美国经历的“平均贫困”比大多数西欧国家*显著*更高。 目前,在美国赚取1美元需要63分钟,大约是德国(26分钟)、法国(31分钟)和英国(34分钟)所需时间的两倍。虽然美国最贫困的州密西西比的人均GDP与德国相当,但美国不断上升的收入不平等意味着更大比例的人口正经历严重的经济压力。 斯特克的数据显示,自1990年以来,美国的“平均贫困”实际上在*增加*,即使经济在增长,也是因为不平等现象超过了收入增长。相反,收入分配更稳定的欧洲国家已经看到“平均贫困”有所下降。这表明,经济增长本身并不能保证减少贫困;财富的分配方式至关重要。

一篇最近在Hacker News上被重点讨论的文章,探讨了一种新的贫困衡量方法,结果显示美国正在落后于欧洲。该指标考虑了赚取1美元所需的时间,并结合了收入分配和商品成本——不同于人均PPP等传统衡量标准。 这篇文章引发了争论,一些用户认为结果与直觉不符,特别是与欧洲停滞不前相比,美国在新冠疫情期间“平均贫困”显著下降。讨论的中心是该方法论,一位评论员指出,该指标对拥有更多亿万富翁存在惩罚。 其他人质疑其逻辑,提到了最低工资的差异,而一些人则认为这种方法更准确地反映了“付出更多获得更少”的现状,并且更好地比较了购买力。对话还涉及了与基尼系数和较老的经济指标之间的潜在相关性。
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原文

Comparing economies and poverty is challenging, as different measures can lead to different results. Olivier Sterck, an Associate Professor of Economics at the University of Oxford, has developed a new way to measure poverty, which he calls “average poverty”.

He finds that “average poverty is substantially higher in the US, even though average incomes are higher than in most Western European countries”.

When Gross Domestic Product (GDP) per capita is compared between the US and Europe, the figures suggest a striking result: the poorest US state rivals Germany.

In the third quarter of 2024, Mississippi, the poorest US state, had a GDP per capita of €49,780 ($53,872). In Germany, it was €51,304 in 2024 — a gap of only about €1,500.

In purchasing power parity (PPP) terms, the US is in a significantly stronger position than most EU countries, except for Luxembourg and Ireland, as a Euronews Business article shows.

What is ‘average poverty’?

However, Olivier Sterck emphasises that viewing poverty as a spectrum changes the conversation. It reveals what poverty lines miss and why inequality matters so much.

According to Sterck’s research, published on SSRN, an online repository for academic work, “average poverty” is defined as the average time needed to earn $1. “The measure is inclusive, distribution-sensitive, decomposable, and aligns with how both experts and the public conceptualise poverty,” he says.

The $1 is measured in international dollars. This means it buys the same amount of goods and services in any country as a US dollar does in the United States. It is often used alongside purchasing power parity (PPP) data. The “time” refers to a day of life for anyone, at any age and in any circumstance — not just the hours worked by someone with a job.

Time needed to earn $1 in international dollars

As of 2025, the time needed to earn $1 is 63 minutes in the US. This is about twice the average across Germany, France and the UK.

In Germany, Europe’s largest economy, it takes 26 minutes. In France, the figure is 31 minutes, while in the UK it rises slightly to 34 minutes.

These figures suggest that average poverty in the US is about twice that of these three countries.

Using this metric, Sterck finds that global poverty has declined by 55% since 1990. The time needed to earn $1 has fallen from about half a day to five hours.

Average poverty rises in the US, declines in Europe

The new measure also shows that average poverty in the US has increased almost continuously since 1990, despite strong growth in average incomes. In contrast, it has declined over time in most other high-income countries.

For example, in 1990, it took 43 minutes to earn $1 in the US. This was almost the same as in France (42 minutes) and shorter than in the UK (51 minutes). Germany had the lowest time at 34 minutes.

“Take two individuals randomly from the populations of these countries: the expected ratio of their incomes is above 4 in the US, but only about 1.5 in the three European countries. This shows how income levels are much more dispersed in the US.

As a result, there is a higher proportion of individuals with low incomes in the US, and they take more time to earn $1,” Olivier Sterck told Euronews Business.

Growth in average income vs average inequality

According to this metric, the time needed to earn $1 has risen by 20 minutes, or 47%, in the US over the past 35 years. All three European economies recorded declines, with the UK seeing the largest drop.

Why is that? He points out that, in all four countries, average incomes have grown by a little over 1% per year over recent decades, according to World Bank PIP data. However, in the US, average inequality has increased by about 2.2% per year, outpacing income growth.

“This explains why average poverty increased in the US: average inequality grew faster than average income,” he says.

By contrast, in the UK, France and Germany, inequality remained relatively stable, so income growth translated into a reduction in average poverty.

How growing economies become poorer

“How can a rich country’s economy grow and yet become poorer?” Sterck asks, referring to the US in his article for The Conversation.

His answer is simple: inequality.

He notes that poverty can change for two main reasons: incomes rise or fall, or income distribution becomes more or less unequal.

In the US case, average poverty increases even in a growing economy because inequality rises faster than incomes grow.

“And the US has one of the most unequal economies in the world, and by far the most unequal among rich countries. Across all 50 states, inequality has risen sharply since 1990, regardless of political orientation, demographic composition or economic structure,” he writes.

Income inequality, measured by the Gini coefficient, is higher in the US than in major European economies. Higher values indicate greater inequality.

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