As the World Bank convened its 2026 Spring Meetings, 13-18 April, it offered a timely opportunity to revisit the longstanding debate over the relationship between economic growth and human wellbeing.

This relationship is not simply one-way, in which rising incomes improve basic living standards; it is also mutually reinforcing, as investments in health, education and other core capabilities can themselves drive productivity and growth.

The crucial distinction today is not just between growth and redistribution but between approaches that rely primarily on gross domestic product (GDP) based indicators and those that complement them with multidimensional measures of poverty.

Aggregate income remains a powerful summary indicator of economic performance but on its own, it cannot capture how poverty is actually experienced, how it varies across populations or which constraints are most binding at a given moment.

Indicators such as health, education and living conditions track GDP per capita across countries, reinforcing the central role of growth. Yet the paper relies heavily on GDP as the primary lens for understanding socioeconomic development.

For policy, the key question is not simply whether growth matters but how it is generated, sustained and interpreted alongside other dimensions of poverty. GDP captures aggregate expansion but it does not show how gains are distributed, whether vulnerability is actually declining or which constraints hold back particular households and the ecosystems in which they are embedded.

How policy choices can impact economic growth

A broader perspective, informed by structuralist and evolutionary economics, understands growth as the outcome of cumulative processes of structural change, capability building, learning and investment, all shaped by institutions and demand conditions.

In our view, this perspective is more closely aligned with the World Bank’s own language. As Ajay Banga, President of the World Bank Group, argued during the Spring Meetings, successful development in countries hit by external factors requires “a focus on policies and reform that they can undertake.”

That is a useful reminder that growth is not self-generating. It depends on policy choices, institutional quality and the capacity to create an environment in which firms invest, workers find productive opportunities and new sectors emerge.

The same logic helps clarify why basic services and infrastructure should not be treated as residual social concerns to be addressed only after growth occurs. The Spring Meetings repeatedly framed them as productive foundations of development.

For instance, on energy, it stressed that “we see energy as a foundation for jobs, productivity, and growth.” On health, it argued that “resilient health systems protect economic sectors and jobs.”

These are not rhetorical additions to a growth agenda. They suggest a more integrated strategy in which water systems, electricity, health provision and other basics are prerequisites for productivity, investment and livelihoods.

A Water.org video published by the World Economic Forum puts this in concrete human terms: women and girls spend 200 million hours each day gathering water, limiting time for education and paid work, weakening their health and reducing women's economic participation. Water is not only a basic service. It is an economic input.

How can we benefit from aggregate metrics and household-level insight?

In this context, instruments such as the Multidimensional Poverty Index and the Poverty Stoplight become essential. The Index identifies which deprivations are most severe and how they are distributed across populations.

The Poverty Stoplight adds a real-time operational layer, capturing household-level development through visual classification and dynamic monitoring, enabling more precise intervention.

This is fully in line with the World Bank's 2026 Scorecard update, which stressed the importance of timely, transparent data for showing where progress is being made and where gaps remain. Behind each data point, the Bank noted, are people, communities and livelihoods.

This matters because development bottlenecks are often localized and time-sensitive. The Poverty Stoplight reveals not only who is poor but how poverty is structured and which constraints are changing or persisting.

Its global database compiles real-time, fine-grained, geo-referenced, household-level, self-reported multidimensional poverty data. More granular evidence helps policymakers identify where deprivations overlap and where scarce resources can have the greatest impact.

Used alongside GDP, such tools can make growth strategies more intelligible, more actionable and more likely to improve lives.

The Spring Meetings also underscored that poverty is multidimensional. The World Bank’s Scorecard update showed that reducing vulnerability requires addressing not just exposure to shocks but also socioeconomic factors, including low income, limited education, lack of access to financial services and the absence of social protection.

Why poverty is a multifaceted issue

This is an important reminder that poverty cannot be reduced to a single metric. Additionally, it reinforces the case for combining aggregate economic indicators with household-level multidimensional diagnostics.

For policy, GDP is an output, not an input: what matters is a granular understanding of the constraints holding growth back at any given time, so that interventions can be designed to be time-effective and responsive to local conditions.

Still, one of the strongest messages to emerge from the Spring Meetings was that the aim is not growth in the abstract but outcomes people can actually experience: “more and better jobs, higher incomes and expanded economic opportunity.”

In agriculture, it was noted that “by expanding opportunities in the sector, we can improve farmers’ lives, create jobs and feed the world.” These statements are important because they connect productivity, livelihoods and broader social welfare.

Development should, therefore, be judged not only by whether output rises but by whether gains translate into reduced vulnerability and improved well-being.

The goal is not to abandon growth but to embed it within a broader strategy that places greater weight on policy reform, the foundational conditions for development and dynamic, multidimensional evidence.

A stronger approach should build the conditions for productive investment and private-sector expansion. Today, we can use more granular data to identify the specific constraints holding back households, communities and ecosystems in particular places and at particular moments.

The tools to generate such evidence already exist. The opportunity to use them is ours for the taking.