Comparative Multidimensional Assessment of Progress Towards Sustainability at the Macro Scale: The Cases of 12 OECD Countries, China, and Brazil
Abstract
1. Introduction
2. Literature Review
3. Methodology
4. Analysis
4.1. The USA
4.2. Brazil
4.3. Japan
4.4. Sweden
4.5. China
4.6. Germany
4.7. Denmark
4.8. Norway
4.9. Switzerland
5. Discussion
6. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Authors | Year | Method Type | Method Name | Indicators | Time Horizon | Conclusions |
Nordhaus and Tobin [17] | 1972 | NA | Measure of Economic Welfare (MEW) | 10 | 1929–1965 | This study lays the groundwork for national accounting approaches, adjusting GNP by deducting expenditures that do not increase welfare. It then contrasts the calculated Measure of Economic Welfare (MEW) with an MEW that would hold welfare constant over time. Decreases in natural capital are discussed but excluded from calculations. The authors argue for introducing incentives to preserve resources to counter problems that arise when the price mechanism does not properly value wealth depletion. |
Hartwick [18] | 1990 | NA | True NNP | 5 | n.a. | This is one of the foundational contributions to weak sustainability measures. It adjusts the net national product by deducting used-up natural capital stocks to arrive at a “true NNP” measure. It is based on “Hartwick’s Rule”, prescribing reinvestment of gains from declining stocks of exhaustible resources into produced capital to achieve sustainability. |
Pearce and Atkinson [19] | 1993 | NA | Genuine Savings | 4 | 1965–today | This initial exploration of the GS/ANS approach proposes a weak sustainability indicator, based on comparing savings with the depreciation of capital stocks. An economy is sustainable if it saves more than it depletes its stocks of produced and natural capital. It presents results for 18 countries. |
Daly [4] | 1994 | NA | Index of Sustainable Economic Well-Being | 21 | 1950–1990 | The ISEW divides personal consumption by income distribution and then deducts or adds a range of measures. It includes a wider range of environmental indicators than previous indices. Results are presented for the US from 1950 to 1990. The ISEW is shown to have grown much more slowly than GNP. Unsustainable consumption patterns are identified as the main reason for the ISEW’s divergence from GNP growth. |
Wackernagel et al. [37] | 1997 | F | Ecological Footprint | 10 | 1961–2018 | The Ecological Footprint assesses how much land and water area is used for a country’s consumption and connected waste absorption. A sustainable country stays within its biophysical boundaries. Results are presented for 52 nations, showing that humanity is exceeding Earth’s biophysical capacity by one third. |
Loh et al. [29] | 1998 | CI | WWF Living Planet Index | 3 | 1970–today | The Living Planet Index is an attempt at assessing the state of forest, freshwater, and marine ecosystems. It offers country data for each, as well as an integrated index. All overall indices are shown to have declined significantly. The report offers a separate measure for global consumption pressure. |
Cobb et al. [21] | 1999 | NA | Genuine Progress Indicator | 18 | 1950–today | The GPI and ISEW are usually treated as synonymous. This 1999 contribution presents the US GPI, with personal consumption adjusted for income distribution and addition and subtraction of different measures, from 1950 to 1999. It includes measures for economic, social, and environmental sustainability, all denoted in USD. The report shows that the GPI started diverging downwards from GDP around 1970, lending support to the “threshold hypothesis”, according to which GDP growth only contributes to welfare up to a turning point. |
Hamilton [20] | 2000 | NA | Genuine Savings | 7 | 1965–today | This report presents Genuine Savings (GS), adjusting traditional net savings by subtracting the net depletion in natural resource value and the value of pollution and adding investments in education. Results are presented for all countries and across regions in 1997. Only the Middle East and North Africa are shown as slightly unsustainable. Middle- and high-income countries, especially in South Asia and the Pacific, have the highest GS, while a negative correlation is shown between the resource dependency of countries and their GS. |
Prescott-Allen [36] | 2001 | CI | Well-Being Index/Barometer of Sustainability | >60 | 1998 | This book proposes a Well-Being Index (WI), based on two top-level indices: the Human Well-Being Index (HWI) and the Ecosystem Well-Being Index (EWI). Instead of monetary or physical valuation, performance scores are compared with performance standards and aggregated into indices. Sustainability is defined as a WI of 81. Results are presented for 180 countries. No country in the report is categorised as sustainable. The overall “best” countries score high in the HWI but relatively low in the EWI. For most countries, the HWI is higher than the EWI. |
Esty et al. [31] | 2002 | CI | Environmental Sustainability Index | 68 | 2000–2005 | The ESI is aggregated from five core components: environmental systems, reducing stresses, reducing human vulnerability, social and institutional capacity, and global stewardship. Twenty sub-indices, based on sixty-eight indicators, are averaged and compared internationally. Results are presented for 241 countries. Most high performers are high-income countries. Per capita income is shown to be positively correlated with the ESI, but countries with low incomes and high ESIs exist. |
Osberg and Sharpe [33] | 2002 | CI | Index of Economic Well-Being | 15 | 1971–1999 | This study proposes an index assessing economic sustainability. Some indicators also touch on social aspects, e.g., the Gini coefficient and risk of unemployment. Fifteen indicators build four top-level indices that are integrated into an overall index. The index is shown to have increased less than GDP per capita in a sample of six OECD countries. |
Sutton [40] | 2003 | F | Night Light Energy ESI | 2 | n.a. | This study calculates a sustainability index based on nighttime satellite imagery. It uses light energy emitted as a proxy for environmental impact and relates it to the value of ecosystem services. Madagascar, Mongolia, and several island nations are the most sustainable. A correlation with the EF, but not with the ESI, is pointed out. |
SOPAC [30] | 2003 | CI | Environmental Vulnerability Index | 50 | 1973–2005 | The EVI assesses the environmental vulnerability of individual countries. Indicators are scaled according to thresholds, rating each on a 1–7 scale of environmental vulnerability. Sub-indices are provided for five policy-relevant areas, namely, climate change, exposure to natural disasters, biodiversity, desertification, water, agriculture/fisheries, and human health aspects. |
Stiglitz, Sen, and Fitoussi [25] | 2009 | NIB | Not named | 28 | n.a. | This report proposes a separate assessment of current well-being and sustainability. To assess economic sustainability, it advocates for a monetary approach close to ANS, adjusted by depletion indicators, where reliable valuation methods exist. Separately, environmental sustainability should be assessed with the help of physical indicators, such as the Carbon Footprint. |
Hertwich and Peters [39] | 2009 | F | Carbon Footprint | 1 | 1970–today | This study offers one of the first cross-country comparisons of the Carbon Footprint, assessing the amount of GHG emissions associated with the consumption of goods and services. It allows for comparisons across space and across sectors. The authors do not claim to have offered an overall assessment of sustainability. |
Shmelev and Rodríguez-Labajos [28] | 2009 | MCDA | NAIADE | 3 (16) | 1960–2003 | This study offers a dynamic alternative to composite measurement indices. Criteria are selected according to policy agendas and theoretical considerations. Short-, medium-, and long-term analyses are carried out for the case of Austria, with weak and strong sustainability criteria. Indicators are not integrated into a composite index, but years are ranked according to their overall performance relative to other years. |
Lawn and Clarke [22] | 2010 | NA | GPI | 18 | 1967–2006 | This paper recalculates and applies the GPI for seven Asian-Pacific countries. It provides support for the threshold hypothesis, but argues that for developmental late-comers, the point where the GPI diverges from GDP is earlier. |
Mascarenhas et al. [41] | 2010 | NIB | The Algarve Regional SDI | 20 | n.a. | This study proposes a dashboard for regional sustainability assessment in the Algarve, Portugal. It addresses the weighting issues of other indices by selecting indicators based on questionnaires with local stakeholders. |
Mirshojaeian Hosseini and Kaneko [34] | 2011 | CI | Not named | 29 | 2000–2007 | This study measures and ranks sustainability for 133 countries. Using Principal Components Analysis, indicators are grouped into four pillars: institutional, economic, social, and environmental. Both for individual countries and regions, the trends of overall sustainability and for each pillar are presented, showing similar behaviour for the first three and diverging trends for environmental sustainability. |
Arrow et al. [26] | 2010 | NA | Not named | 21 | 1995–2000 | This study measures sustainability in five countries by assessing changes in comprehensive wealth, meaning an economic valuation of natural, human, reproducible, and, as an extension, health capital, while deducting capital gains on oil and carbon damages. If comprehensive wealth grows, a country’s development is deemed sustainable, as is the case for the US, China, India, and Brazil. For all these countries, the net depletion of natural capital is overcompensated by gains in human or reproducible capital. |
UN [13] | 2014 | NA | SEEA | n.a. | n.a. | In this document, the UN introduces a statistical standard for environmental accounting. The accounts include environmental flows, environmental asset stocks, and economic activity. Some aggregate measures are included, such as depletion-adjusted net saving or depletion-adjusted net domestic product. |
Mori et al. [42] | 2015 | NIB | City Sustainability Index | 12 | 2015 | This study proposes a sustainability assessment of cities, able to measure both economic, social, and environmental sustainability and leakage effects to other cities. It uses constraint indicators, for which a city must be above a certain threshold, and maximisation indicators, which are either positive or negative contributors. To maintain strong sustainability criteria, it does not aggregate. The index is applied to 12 megacities. |
Shmelev [44] | 2017 | F | APIS | 3 | 1995–2011 | This chapter assesses the sustainability performance of seven countries. By testing varying weights, it allows for assessment from the viewpoint of different policy priorities, focused on the economy, environment, or the social dimension. Developments in Germany, France, and the UK are shown to be positive regardless of priorities, while trends in China, Russia, Brazil, and the US are less clear. |
OECD [14] | 2017 | NIB | How’s Life indicator set | 32 | 2005–2017 | This indicator set assesses current well-being and sustainability separately. For current well-being, countries are scored on each measure. The sustainability assessment focuses on changes in natural, human, economic, and social capital stocks. No integrated index is produced, but trends in each stock are compared internationally. |
Stiglitz, Fitoussi, and Durand [2] | 2018 | NIB | How’s Life indicator set | 32 | n.a. | This report advocates for a dashboard based on OECD [14] and broadly advocates for a further-reaching approach to measure current and future well-being beyond GDP. Acknowledging the SDGs as an attempt at such an approach, it argues for the need for prioritisation. It advocates for better measures for sustainability, including all three dimensions: social, economic, and environmental. |
UNDP [35] | 2022 | CI | HDI | 4 | 1990–2022 | The HDI offers an integrated index of human development. It is not explicitly a sustainability index, but it can be adjusted to include planetary pressures or poverty. These adjusted HDIs then show whether a country’s performance improves or worsens with the inclusion of additional dimensions. Adjustments for planetary pressures include CO2 emissions and material footprint. It has been published since 1975, but due to changes in methodology, only data since 1990 are comparable. |
Wolf et al. [32] | 2022 | CI | EPI | 40 | 2002–today | The EPI offers a large dashboard, integrated into a single index assessing environmental sustainability. Most high performers are high-income countries. Weights are chosen according to policy objectives |
Li et al. [43] | 2022 | NA/F | ES and GEE | 21 | 2000–2018 | This study assesses economic sustainability through the GPI’s share of GDP and ecological efficiency through the GPI’s share of the Environmental Footprint. Its study area is the Yangtze River Delta in China. It shows positive trends for ecological efficiency and a negative trend for economic sustainability. |
EC [112] | 2022 | NIB | EU SDG indicator set | 101 | 2017–2022 | This report uses 17 SDGs comprising 101 indicators to assess sustainable development in the EU. EU-wide trends are shown for each SDG. Performance criteria are not integrated into a composite index, but interlinkages between SDGs are discussed. For each SDG, a policy context is provided, showing what is already being carried out towards achieving the goal. |
Sachs et al. [15] | 2022 | CI | SDG Index | 120 | 2010–today | The report assesses progress across the 17 SDGs, which are equally weighted and aggregated into a composite index. High-income countries, especially in Scandinavia, are high performers, while low-income countries tend to score lower. The report shows trends and challenges for each SDG and associated indicators in each country. |
Abbreviations: NA = based on national accounting; CI = composite index; F = footprint; NIB = non-integrated basket; n.a. = not applicable. |
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Shmelev, S.E. Comparative Multidimensional Assessment of Progress Towards Sustainability at the Macro Scale: The Cases of 12 OECD Countries, China, and Brazil. Sustainability 2025, 17, 7772. https://doi.org/10.3390/su17177772
Shmelev SE. Comparative Multidimensional Assessment of Progress Towards Sustainability at the Macro Scale: The Cases of 12 OECD Countries, China, and Brazil. Sustainability. 2025; 17(17):7772. https://doi.org/10.3390/su17177772
Chicago/Turabian StyleShmelev, Stanislav Edward. 2025. "Comparative Multidimensional Assessment of Progress Towards Sustainability at the Macro Scale: The Cases of 12 OECD Countries, China, and Brazil" Sustainability 17, no. 17: 7772. https://doi.org/10.3390/su17177772
APA StyleShmelev, S. E. (2025). Comparative Multidimensional Assessment of Progress Towards Sustainability at the Macro Scale: The Cases of 12 OECD Countries, China, and Brazil. Sustainability, 17(17), 7772. https://doi.org/10.3390/su17177772