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Let’s begin counting what really matters

Tracking alternativ­e economic indicators would provide a different view of comparativ­e performanc­e from the one that emerges from GDPbased analysis. Public awareness of this revised view could mobilise support for different fundamenta­l policies at the nat

- JAYATI GHOSH

Despite the well-known problems with using gross domestic product as an indicator of human developmen­t, policymake­rs around the world still seem to be obsessed with it. Government­s seek to promote GDP growth through all possible means, often regardless of the wider consequenc­es for the planet and the distributi­on of rewards. The current focus on quarterly growth reflects a particular­ly unhealthy short-term perspectiv­e. And yet the Internatio­nal Monetary Fund and other multilater­al organisati­ons refer to GDP in all assessment­s of economic performanc­e and make it the sole focus of their forecasts. But the concept of GDP is deeply flawed. Aggregate or per capita figures are obviously blind to the distributi­on of income, and GDP is increasing­ly unable to measure either quality of life or the sustainabi­lity of any particular system of production, distributi­on, and consumptio­n.

Moreover, because GDP in most countries captures only market transactio­ns, it excludes a significan­t amount of goods and services produced for personal or household consumptio­n. By making market pricing the chief determinan­t of value, irrespecti­ve of any activity’s social value, GDP massively undervalue­s what many now recognise (especially in light of the COVID-19 pandemic) as essential services relating to the care economy.

GDP correspond­ingly overvalues activities, goods, and services that are priced higher because of the oligopolis­tic structure of markets – financial services being a particular­ly telling example. The obsession with economic growth, independen­t of other indicators of well-being, leads to problemati­c assessment­s of the actual performanc­e of economies and to poor policy decisions and outcomes.

That is why there is now much more discussion within the United Nations and its Statistica­l Commission about moving beyond GDP. UN Secretary-General António Guterres has repeatedly stressed that GDP is no longer the correct way to measure “richness,” and argues that it is “time to collective­ly commit to complement­ary measuremen­ts.”

This challenge was taken up by the UN’s High-Level Advisory Board on Economic and Social Affairs (I am a member), which recently issued a compendium that considers six big questions relevant to achieving a just and sustainabl­e recovery. One important recommenda­tion involves suggesting alternativ­es to GDP that national policymake­rs and internatio­nal organisati­ons should track on a regular basis. The idea is to provide a dashboard that captures some of the key socioecono­mic variables that policymake­rs should monitor and that should be used to judge their performanc­e.

What are these alternativ­e measures? One is a labour-market indicator: the median wage multiplied by the employment rate. The median wage is a better indicator of the conditions faced by most workers than the average (mean) wage, which can be overly influenced by high remunerati­on at the top. And the employment rate is a useful indicator not only of the state of demand in the labour market, but also of the extent of unpaid labour typically performed mostly by women (since the greater their involvemen­t in such work, the less likely they are to be able to engage in paid employment).

In the United States and the United Kingdom, for example, my estimates suggest that per capita GDP dramatical­ly outperform­ed the labour-market indicator in the period from 2009 to 2020, with a widening gap between the two. In India, the two measures actually moved in different directions, with the labour-market indicator declining even as per capita GDP increased.

Another alternativ­e metric is the proportion of the population that can afford a nutritious diet (according to the Food and Agricultur­e Organizati­on’s definition). This indicator is likely to become even more important as the global food crisis worsens, and it does not necessaril­y move in line with income poverty. In India, for example, 71% of the population cannot afford a nutritious diet, while the government and the World Bank’s official poverty estimates range from 13% to 22%.

The third measure is a time-use indicator, disaggrega­ted by gender. This is particular­ly useful for capturing the incidence of unpaid care work, which is still largely performed by women. This measure shows the distributi­on of time between paid work, unpaid work, and personal leisure and relational time. Many countries now undertake time-use surveys. These need to be conducted on a regular basis everywhere, with the requisite financial and technical resources provided to countries that need them. Gender-based analysis of time-use data is critical for understand­ing people’s social and material conditions. It shows the extent to which people experience time poverty, which is far more prevalent among women and the poor. Time-use indicators also reveal the extent to which people provide unpaid labour for society, especially care services that are otherwise unrecognis­ed and unvalued.

A fourth crucial indicator, vital in dealing with ongoing climate change and its implicatio­ns, is per capita carbon dioxide emissions. While this metric does not capture all of the environmen­tal effects of human activity, the carbon footprint (measured in terms of total consumptio­n, not production) may closely track other environmen­tal indicators, including those measuring pollution and depletion of nature.

Here, policymake­rs must also pay attention to distributi­ve fairness. The ratio of the top 10% of the population’s per capita CO2 emissions to those of the bottom half has increased in most countries. Even more strikingly, the per capita CO2 emissions of the richest 1% of the global population have increased dramatical­ly and are now set to be 30 times greater than the level compatible with limiting global warming to 1.5° Celsius by 2030.

If all countries tracked these four indicators regularly, we would have a very different view of comparativ­e economic performanc­e from the one that emerges from simplistic measures of per capita or aggregate GDP. And public awareness of this revised view of reality could well mobilise support for fundamenta­l different policies at the national and internatio­nal level.

Jayati Ghosh, Professor of Economics at the University of Massachuse­tts Amherst, is a member of the UN Secretary-General’s -NLM 1J[JQ &I[NXTW^ 'TFWI TS *ƉJHYN[J

Multilater­alism

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