From Doha to Action: the country ranked 5th says it is also ranked 149th

Side event · 16 July 2026 · 13:15 · UN Headquarters, New York
Session
“From Doha to Action: Accelerating the 2030 Agenda through Collaborative Approaches to Spillovers, Multidimensional Poverty and Integrated SDG Implementation”
Convened by
UN DESA Division for Inclusive Social Development, the Beyond Lab (UN Geneva) and the Oxford Poverty and Human Development Initiative (OPHI), with Germany and Switzerland as co-organisers and support acknowledged to SDSN Germany and the OECD
Opening
The Deputy Permanent Representative of Germany to the UN, reading the statement of the head of the German delegation
Panel 1: spillovers
The head of the OECD’s policy coherence for sustainable development programme · Switzerland’s Federal Council delegate for the 2030 Agenda, Federal Office for Spatial Development · the Beyond Lab specialist who leads its spillover innovation learning journey. Moderated by the Beyond Lab
Panel 2: multidimensional poverty
An inter-regional adviser on social development, UN DESA Division for Inclusive Social Development · the Director of OPHI, University of Oxford. Moderated and closed by UN DESA

Why this session matters to us

“Doha” is the Doha Political Declaration, the outcome of the Second World Summit for Social Development held in Doha and adopted by the General Assembly on 4 November 2025 as resolution A/RES/80/5. This lunchtime side event was billed as the step from that declaration to practice, built on two tools: spillover-conscious policy making, and the Multidimensional Poverty Index used as an operational instrument rather than a diagnostic.

What it actually produced was better than that. Two governments and one international organisation stood up in front of a room and explained, without being asked, why the numbers that make them look good are not measuring the thing that matters. That is our beat exactly: not what the counting shows, but what the counting hides.

The self-indictment, volunteered

Germany opened. Its Deputy Permanent Representative was standing in at short notice, reading a statement written for the head of delegation who had gone home early, and he used the slot to put his own country in the dock. He gave the room two rankings, side by side.

Germany’s Deputy Permanent Representative: “Domestically, Germany has been pretty good on the implementation of the 2030 Agenda. We currently rank fifth out of one hundred sixty-seven. On the other hand, Germany ranks amongst the lowest rated countries in the international spillover index of the Sustainable Development Solutions Network. Here we are one hundred forty-nine out of one hundred sixty-seven.”

Then he answered his own question about why.

Germany’s Deputy Permanent Representative: “So why is Germany so low? This is for example due to the fact that our exports of pesticides and plastic waste continue and they harm biodiversity and people’s health in other countries, and our level of CO2 emissions is not good. We are still outsourcing a part of our CO2 emissions to third countries.”

Read those two paragraphs together and you have the whole argument of the session in one data point. A national SDG league table can rank a country fifth in the world while that country is, on a separate and equally published measure, among the twenty worst offenders for the damage it exports. The performance score and the harm score are not in tension by accident. Some of the fifth place is made of the 149th place. Germany’s own illustration was organic farming: a genuine domestic environmental and health gain that needs more land and yields less, and so can end up importing food and importing the environmental cost with it.

He was equally direct that the fix is not in hand.

Germany’s Deputy Permanent Representative: “We all know about the importance of spillovers. But we should be honest with ourselves, we still have a long way to go to efficiently integrate spillover effects in our policies. And frankly the same holds true for the application of the multi-dimensional poverty index.”

What Germany says it is doing about it: spillover effects are now written systematically into the German sustainable development strategy, so that they can be captured before legislation rather than regretted after it; the Textile Dialogue, which Germany describes as its largest multi-stakeholder alliance, works the human rights and environmental conditions along the whole textile supply chain; its 2025 Voluntary National Review was prepared through participatory processes with civil society, business, academia and young people; and it has launched a new South North Commission on Development in Hamburg. The stated objective, in his words, is “that our consumption back home causes no harm to other countries.”

One quiet irony worth recording. The session’s thanks list included SDSN Germany. The index that ranks Germany 149th is SDSN’s. The country invited the scorekeeper and then read out its own bad score.

Switzerland says the same thing, more quietly

Switzerland’s Federal Council delegate for the 2030 Agenda gave the mirror-image numbers, and they are arguably starker.

Switzerland’s Federal Council delegate for the 2030 Agenda: “Around sixty percent of Switzerland’s material footprint is associated with imported resources. And roughly seventy-five percent of our greenhouse gas footprint is generated abroad.”

Three quarters of a country’s climate impact happening somewhere else is not a rounding error in the national account. It is the national account. Switzerland has been measuring this since 2008, when it built its first set of indicators for its global impacts, and spillovers are now an integral part of its Voluntary National Review, covering commodity trading, imported emissions, pressure on forests through global supply chains, illicit financial flows, sustainable finance, scientific cooperation and remittances.

The mechanics are the useful part for anyone trying to copy it. A dedicated spillover measure went into the 2024 action plan, which triggered two parallel analyses. The Federal Statistical Office ran the quantitative half: identify Switzerland’s main positive and negative spillovers, sort them into thematic fields, work out how each could be measured, and, where reliable data did not exist, name the gap and publish that too. The result is 17 indicators, public, in the national monitoring system MONET 2030. The Foreign Ministry ran the qualitative half, tracing six impact chains (natural resource use, trade and consumption, food systems, the financial system, international cooperation, and science and technology) to find the policy levers. She was candid that implementation of the resulting recommendations is only beginning. She was also candid about what the whole exercise costs a government.

Switzerland’s Federal Council delegate for the 2030 Agenda: “There’s this quote saying honesty is the best policy, and working on unintended policy effects requires a great deal of honesty from us as countries.”

The OECD names why it never bites

The OECD had launched a report on policy coherence across water, energy, industry and cities the day before, and its head of policy coherence gave the room the case for measuring spillovers at all: energy production already accounts for roughly 15% of global freshwater withdrawal; the energy transition drives demand for critical minerals, so the benefit of clean technology lands in one country while the pressure on water, ecosystems and communities lands in another; cities count the emissions inside their boundaries while consuming goods made outside them, so “territorial indicators may show local progress without capturing the full environmental footprint of urban consumption.”

He also gave the argument that gets finance ministries to care, which is not solidarity.

The OECD’s head of policy coherence for sustainable development: “Negative spillovers often come back as what we call spillbacks. … So addressing spillovers is not only about responsibility towards other countries or globally, it is also about making domestic policy more effective, more resilient and more durable.”

And then the sentence that matters. Asked what the main challenge is, he did not say data quality.

The OECD’s head of policy coherence for sustainable development: “The biggest challenge however is not only technical, or the data availability. Many spillovers indicators appear in monitoring reports, but do not yet influence actual policy choices. … The objective is not measurement for its own sake.”

His list of the places the evidence has to reach before it counts is worth writing down, because it is the list of things that were not being discussed at this Forum: policy design, regulatory impact assessment, strategic planning, budgeting, procurement, evaluation. He was frank about the limits too. The data is better for environmental impacts than social ones; different databases and methods produce different answers; some statistics are years out of date; working conditions, local environmental effects and the distribution of costs and benefits remain significant gaps. The indicators, he said, do not prove causation. They identify patterns and risks that deserve attention.

The same indictment, in poverty data: Rwanda’s 14.3%

The second half turned to the Multidimensional Poverty Index, and produced the session’s other number. The Director of OPHI was answering a question about how countries avoid overlooking people who are multidimensionally poor but not income poor. Her answer was that most systems assume the two groups are the same people, and the assumption is wrong.

The Director of OPHI: “For example in Rwanda, twenty-seven point four percent of people in 2023/24 were monetary poor, and thirty point five percent were MPI poor. Twenty-seven, thirty. You might think they’re the same people. But when Rwanda’s statistics office looked, actually less than half overlapped, fourteen point three percent. And that happens in so many countries.”

Sit with that. Two headline poverty rates three points apart, which any dashboard would read as broad agreement, and only 14.3% of the population is in both. A registry built on the income line is therefore missing roughly half of the multidimensionally poor while looking, on the face of the statistics, perfectly healthy. She named Uganda and Namibia as further examples of the same pattern. This is the poverty version of Germany’s rankings: the aggregate is not lying, and it is still hiding the answer.

The mechanism matters because it is what a cash transfer cannot fix. People missed by an income register need different things, not more of the same thing: scholarships, food or energy subsidies, housing materials, water and sanitation assets, or infrastructure that simply is not there. And people inside universal programmes can still fall through, not knowing a child qualifies for a scholarship or never signing up. In Colombia, she said, ten thousand social workers whom the President called “my social army” went door to door to find them.

Her broader case is that the MPI is actionable in a way an income line is not, because it says which deprivations, in what bundles, for how many people, which is what a budget needs.

The Director of OPHI: “People experience packages of deprivations at the same time. You wake up, your roof leaks, your kid is crying and needs some kind of health or education or food supplement. There’s a job insecurity situation.”

National MPIs now exist in 56 countries, she said, all disaggregated by subnational region and by gender of the household head or by individual gender analysis, and in places by disability, by ethnicity, by nomadic population in Somalia, by estate and tea-plantation workers in Sri Lanka, and by mining communities in Indonesia and Bangladesh who are not monetary poor but are MPI poor. It also overlays. OPHI mapped the global MPI against climate hazards and found that 80% of the 1.1 billion poor people were affected, in the same year they were poor, by at least one of extreme heat, drought, flood or air pollution; 651 million by two; 309 million by three. The previous year’s conflict overlay found 455 million of the same 1.1 billion living in situations of conflict, battle deaths, fragility or low peacefulness. Her closing note was about scarcity, not ambition: “now we have less money, we need to be very data-informed and very targeted in our actions.”

The guidelines: turning a measure into a delivery system

The concrete deliverable previewed here was a set of operational guidelines being built by UN DESA with OPHI, the Economic Commission for Africa and ESCAP. UN DESA’s inter-regional adviser put the problem plainly, and it is the same problem the OECD named on the spillover side.

UN DESA, Division for Inclusive Social Development: “Even where governments already measure multidimensional poverty, that measurement has stayed largely diagnostic. It feeds SDG reporting and voluntary national reviews, but it rarely touches the operational side of social protection. Targeting, eligibility, benefit design and monitoring still run mostly on income thresholds. … Income alone doesn’t tell you why a household is poor.”

The guidelines follow the social protection delivery chain end to end (assessment, enrolment, provision, management) rather than bolting multidimensional data on at the front. The country examples he gave are the useful part:

He was explicit that entry is not all or nothing: a country can join at whichever stage of the chain its institutions are ready for today. Two products are coming, the guidelines themselves and a shorter policy brief aimed at decision-makers who will not read the guidelines. They are being pressure-tested through validation workshops in six countries: Senegal, Namibia, Zambia and Tanzania in Africa, Cambodia and Maldives in Asia-Pacific. Launch is set for 2027, at the second of two inter-regional workshops; the first was held in Zambia, and the Asia-Pacific host is not yet fixed. Governments and partners can engage by joining as a pilot or validation country, contributing case studies, or using a self-assessment tool.

The question that did not get answered

A participant from Bonaire, a Caribbean island under Dutch administration since 2010, put the sharpest question of the hour, and it was the one the panel had no answer for. He asked how the international community can expect Bonaire to reach the SDGs when the fundamental decisions are taken thousands of kilometres away rather than by the people who live there, and whether decolonisation and the right of self-determination should be treated as a prerequisite for the SDGs in a territory with “no representation, no UN oversight and no accountability.”

Four questions were taken; three were answered. Bonaire’s was not. This is a session about cross-border policy effects and about people the statistics miss, so the man in the room describing himself as governed by a cross-border policy effect and missed by the statistics was, on the session’s own logic, the case study. He got no response.

A near-miss on the other side. The data focal point for the UN Major Group for Children and Youth asked about a spillover nobody had counted: “AI models trained in high-income regions are deployed globally, often carrying historical biases that automate the exclusion of vulnerable youth in the global south.” The answer was that the Beyond Lab’s learning model is “agnostic to a topic” and could be pointed at algorithmic questions. Which is true, and is not a policy, and is not a measurement.

Our read

The most honest number at HLPF 2026 was volunteered by the country it embarrasses. Germany did not have to say it, was not asked, and said it anyway, standing in for someone else. That deserves credit and it deserves to be repeated much more loudly, because the implication is not about Germany. It is that a national SDG ranking can reward harm-shifting, and the top of the table may be among the worst offenders. Switzerland’s three quarters of a carbon footprint abroad says the same thing about a different country. Both of them measure it. Neither of them claims it has changed a decision yet.

Which is exactly the OECD’s diagnosis, and it is the same finding this Forum produced three days earlier at the Beyond GDP side event, arrived at independently by different people about a different indicator. The metric exists. It is published. It is in the monitoring report. And it does not touch the budget, the regulatory impact assessment, or the procurement decision. The binding constraint on this work has never been the quality of the counting. Rwanda’s 14.3% is the same lesson pointed inward: a country can run two respectable poverty statistics, three points apart, agree with itself, and still be paying the wrong half of the poor.

So the thing to watch is not the 2027 launch of the guidelines. It is whether any of these countries can eventually name a law, a budget line or a trade decision that came out differently because of a spillover indicator. Until one of them can, the honest confession and the dishonest silence produce identical outcomes, and only one of them is uncomfortable.

Why it matters for the SDGs

This lands on SDG 17 (policy coherence for sustainable development is target 17.14, and the follow-up and review machinery is where these indicators live), on SDG 1 (target 1.2 is explicitly about poverty “in all its dimensions according to national definitions,” which is the MPI’s mandate), and on SDG 12, since a material footprint that is 60% imported is a consumption-and-production problem before it is anything else. It also touches the five goals under review this year: the water, energy, industry and cities file the OECD brought is a list of places where one country’s SDG 7 progress becomes another country’s SDG 6 pressure.

The structural point is that the 2030 Agenda is universal but is scored nationally. Every country is graded on a border-shaped scorecard while the effects it produces are not border-shaped. Two governments said so out loud in this room. The scorecard has not changed.

The closing remarks from UN DESA put the stakes in the Forum’s own arithmetic: of the 139 SDG targets with trend data, 36% are on track or making moderate progress, 49% are advancing too slowly, and 15% have regressed below their 2015 baselines. The diagnosis offered was not a lack of commitment.

The Director of UN DESA’s Division for Inclusive Social Development: “Evidence from implementation suggests that one of the principal challenges has not been the lack of commitment to the goals, but rather limitations due to fragmented institutions, sectoral approaches and disconnected policy processes.”

Watch & read

Quotations are lightly edited from an automated transcript of the UN Web TV recording and should be read as close paraphrase. Speakers are cited by role and organisation rather than by name. Figures are as speakers and countries reported them and were not independently verified.