The Changing Wealth of Nations 2021: Managing Assets for the Future

Summary

The Changing Wealth of Nations 2021: Managing Assets for the Future (doi: 10.1596/978-1-4648-1590-4) is the fourth edition of the World Bank's flagship wealth-accounting report series, following Where Is the Wealth of Nations? (2006), The Changing Wealth of Nations (2011), and The Changing Wealth of Nations 2018. It is a product of World Bank staff (Environment, Natural Resources, and Blue Economy Global Practice) with external contributions; the editors listed are Kirk Hamilton, Glenn-Marie Lange, Esther Naikal, and Grzegorz Peszko, alongside a wider chapter-author team. It is not a Georgist or advocacy document — it is a technical statistical/methodological report, published under the World Bank's institutional imprint and consistent with the UN System of National Accounts (SNA) and System of Environmental-Economic Accounting (SEEA). The report constructs comprehensive balance-sheet wealth accounts — produced capital, natural capital, human capital, and net foreign assets — for 146 countries annually from 1995 to 2018, arguing that GDP alone is a "flow" measure that says nothing about whether the underlying asset base (the "stock") that generates future income is being built up or run down. Its relevance to this wiki is not about land value taxation directly — the report does not model or evaluate any tax — but about measuring the size of land and natural capital as a share of national wealth, especially in developing economies, which bears on the empirical premise behind Georgist revenue claims: that land and natural assets constitute a large, quantifiable capturable base, particularly where the state has few other assets to tax.

The Core Findings

1. Renewable natural capital is disproportionately important for low-income countries. The report finds that renewable natural capital — defined as agricultural land (cropland and pastureland), forests, protected areas, and (new in this edition) "blue" natural capital (fisheries and mangroves) — comprised 23 percent of total wealth in low-income countries in 2018, "the highest fraction of total wealth coming from renewable natural capital among all income groups," precisely because low-income countries have comparatively few produced or human-capital assets to offset it. This share was nearly half of what it had been in 1995 (39 percent), as these countries built up human and produced capital over the period.
2. Agricultural land is the largest single component of renewable natural capital. Within this renewable-natural-capital total, agricultural land and forests are the dominant assets; cropland and pastureland wealth increased between 1995 and 2018, even as several low- and middle-income countries converted forest to agricultural land (forest area declined 4 percent while agricultural area rose 4 percent over the period, with forest wealth per capita falling 8 percent and agricultural wealth per capita rising 9 percent).
3. Absolute wealth in natural capital per person remains far lower in poor countries. Wealth in renewable natural capital per capita is 3.6 times greater in high-income than in low-income countries — the share of wealth in land and natural capital is higher in poor countries only because their total asset base is thin, not because their land is intrinsically more valuable per hectare or per person than land in rich countries.
4. Nonrenewable natural capital (fossil fuels, minerals) is separately large but volatile. Global nonrenewable natural capital rose from 1995 to roughly 2014 and then fell sharply — from about US$46 trillion to US$30 trillion between 2014 and 2018 (a 35 percent decline) — driven by falling fossil-fuel prices, illustrating the instability of resource-dependent wealth relative to the comparatively stable land/renewable component.
5. Human capital dominates global wealth overall. Human capital — the present value of the labor force's expected future earnings — is "the most important component of wealth globally," rising from 62 percent of world wealth in 1995 to 64 percent in 2018, and exceeding 60 percent of wealth in middle- and high-income OECD countries. This context matters for reading the land-share figures above: the 23 percent renewable-natural-capital figure for low-income countries is large in relative terms precisely because it is being compared against a smaller produced- and human-capital base, not because natural capital is large in absolute or per-capita terms.
6. Low-income countries are not closing the wealth gap. Between 1995 and 2018 the share of low-income countries in global wealth barely changed, remaining below 1 percent of global wealth despite these countries housing roughly 8 percent of the world's population — a finding the report frames as a sustainability and equity concern, not as evidence about tax policy.

Relation to the Georgist Case — and a Precise Limit on What It Shows

This report is not a study of property or land value taxation, tax incidence, or the welfare effects of taxing land — it makes no claim of that kind anywhere in its scope. It is a wealth-accounting exercise: it measures the value of national asset stocks, not the effects of any tax policy applied to those assets. Reading it as direct evidence for property taxes raising welfare in developing countries would overstate its content; that outcome is about the causal, revenue-and-welfare effects of raising property-tax rates, a question CWON 2021 neither asks nor answers, and this page does not claim that support.

What the report does supply, honestly stated, is an authoritative, mainstream-institutional measurement of the scale of the underlying tax base: it documents that land and natural capital are, in relative terms, the largest asset class low-income countries hold, precisely because they have comparatively little produced or human capital to fall back on. This bears most directly on the outcome land rent could fund a large share of government — not because CWON estimates annual land rent or government revenue capacity (it explicitly measures capitalized asset value, a stock concept, not the flow of rent a tax could capture), but because a large, quantified land/natural-capital asset base is a necessary precondition for land-based revenue capacity to be a plausible source of government funding in the first place. The report's institutional weight (it is a World Bank statistical flagship, not a Georgist source) adds credibility to the premise that land and natural assets in developing countries represent real, substantial, underlying value — the same premise Georgist and land-value-capture arguments rely on when they urge that this value be more actively captured as public revenue rather than left unassessed or under-taxed. Whether that stock of value translates into a correspondingly large annual capturable rent, and whether capturing it raises welfare, are separate empirical questions this report does not address; they are addressed instead by Brockmeyer et al. (2021) and the World Bank's own property-tax-revenue-determinants study, which find administrative capacity, not the underlying value of the base, to be the binding constraint on developing-country property-tax revenue.

Nuances and Limits

• Stock, not flow. CWON values capitalized asset stocks (the discounted present value of expected future benefits), not annual economic rent or tax revenue potential. Converting a stock figure into an annual capturable-rent estimate requires additional assumptions (a discount/capitalization rate) that the report does not make for policy purposes.
• "Weak sustainability" framing. Like the related Hartwick's Rule and "genuine savings" literature — which the World Bank's own Adjusted Net Savings methodology draws on — CWON's aggregate wealth measure assumes different forms of capital (produced, natural, human) are broadly substitutable. This is a contested assumption; "strong sustainability" critics argue some natural capital (e.g., ecosystem services, climate regulation) has no adequate substitute, a limitation the report itself partly acknowledges by noting several ecosystem services (including natural carbon storage) are not yet included and that its natural-capital estimates are "likely to be a conservative estimate."
• Valuation methodology is top-down and cross-country, not bottom-up per-parcel assessment. Wealth accounts rely on globally consistent data sources (e.g., FAO agricultural and forest data, Penn World Table for produced capital) applied with a common cross-country methodology, which the report itself notes is likely less accurate for any single country than a bespoke national account using country-specific data — a caveat directly relevant to the practical difficulty of assessing land value that any land-based tax would also have to confront, though CWON's assessment challenge (valuing aggregate national stocks for statistical comparison) is a different exercise from cadastral valuation of individual parcels for taxation.
• No tax-policy modeling or recommendation. The report's four policy priorities are about measuring wealth, investing in sustainable asset portfolios, correcting mispriced-asset incentives, and diversifying away from single-asset dependence — not about the design, rate, or incidence of property or land value taxes. Any inference from this report to property-tax policy is the reader's extension, not the report's conclusion.
• Land share is a residual of low overall wealth, not proof of high land value. As detailed above, the high natural-capital share in poor countries partly reflects how little produced and human capital these countries have accumulated, not that their land is unusually valuable — a distinction essential to state honestly, since it cuts against reading the 23 percent figure as evidence of an especially rich land-tax base in absolute terms.

Bears On

• Outcome: Land rent could fund a large share of government — CWON 2021's finding that renewable natural capital (chiefly agricultural land) is the largest relative share of wealth in low-income countries supports the premise that land/natural capital is a substantial, quantifiable asset base there, though the report measures capitalized stock value, not annual rent or revenue capacity, so this support is indirect and precondition-level rather than a direct revenue estimate.
• Outcome: Property taxes raise welfare in developing countries — not supported by this report; CWON makes no claim about tax rates, enforcement, or welfare effects of property taxation. This connection was considered and rejected as too indirect; see Brockmeyer et al. and the World Bank property-tax-determinants study for the actual evidence behind that outcome.
• Concept: Resource Rents — the report's nonrenewable natural capital accounts (fossil fuels, minerals) quantify the same category of unearned, non-produced value that Georgist resource-rent arguments address, showing its scale and volatility globally.
• Research: Hartwick's Rule — CWON's "genuine savings"/Adjusted Net Savings framework is the empirical application of Hartwick's theoretical rule that resource rents should be reinvested rather than consumed, and CWON 2021 itself is a direct descendant of that research program.
• Objection: Land value can't be assessed accurately — the report's own methodological caveat that cross-country wealth estimates are less accurate than bespoke national accounts echoes, at a macro scale, the assessment-difficulty concern raised against land value taxation.

See Also

• Land rent could fund a large share of government
• Hartwick's Rule
• Brockmeyer et al., Taxing Property in Developing Countries
• World Bank, Determinants of Property Tax Revenue
• Resource Rents
• Objection: Land value can't be assessed accurately

Sources

1. World Bank (2021), The Changing Wealth of Nations 2021: Managing Assets for the Future, doi: 10.1596/978-1-4648-1590-4. World Bank Open Knowledge Repository — used for overall scope, methodology, editors, and framing; full-text access to the main volume returned a 403 in this session, so claims are drawn primarily from the World Bank's own Executive Summary booklet (below) and FAQ, both fetched and read directly.
2. World Bank (2021), "The Changing Wealth of Nations 2021: Managing Assets for the Future — Executive Summary," World Bank, Washington, DC, License: CC BY 3.0 IGO. PDF — used for the DOI, editor/author list, the four policy priorities, the "23 percent of total wealth" finding and its exact wording ("the highest fraction of total wealth coming from renewable natural capital among all income groups"), the human-capital and nonrenewable-capital figures, and the "conservative estimate" and cross-country-accuracy caveats — read directly as a PDF in this session.
3. World Bank, "Changing Wealth of Nations 2021: Frequently Asked Questions." PDF — used for the definition of natural capital's components (agricultural land, forests, protected areas, fisheries, mangroves, minerals, fossil fuels), the 1995 (39 percent) vs. 2018 (23 percent) low-income natural-capital share comparison, the forest-vs-agriculture land-use trade-off statistics, the 3.6x per-capita renewable-natural-capital gap between high- and low-income countries, and the nonrenewable-capital decline (US$46 trillion to US$30 trillion, 2014–2018) — read directly as a PDF in this session.
4. World Bank, "Global Wealth Has Grown, But at the Expense of Future Prosperity," press release, October 27, 2021. World Bank — used for corroborating framing and regional cropland detail.
5. World Bank, "The Changing Wealth of Nations" (series landing page). World Bank — used for the report's place in the CWON series (2006, 2011, 2018, 2021 editions) and general scope description.

[VERIFY (re-attempted 2026-07-11, Hermes fact-check lane — still blocked): the full main-volume PDF again returned 404/403 from both openknowledge.worldbank.org and the curated documents1.worldbank.org links this pass. The quoted magnitudes therefore continue to rest on the official Executive Summary booklet and FAQ — both World Bank documents reproducing the report's key findings, figures, and exact wording — which were fetched and read directly and are the basis for the statistics cited above; these are authoritative for the numbers, so the cited magnitudes stand as confirmed. Only chapter-level main-volume detail remains unverified. A future editor with full access to the main volume (in particular Chapter 5, "Land Assets, Climate Change, and Degradation Impacts," and Box 9.1, "Rent and Government Revenues: Why Are They Not the Same?") should verify chapter-level detail and consider whether Box 9.1 specifically bears on the rent-vs-tax-revenue distinction discussed above.]