Abstract
Australia is a highly urbanised country, with over 85% of people living in city environments, so the lifestyles of city dwellers and the infrastructure of cities are critical to addressing sustainability issues. Australian cities have embraced the Doughnut Economics framework for sustainability; however, methodologies and data to comprehensively assess environmental and social sustainability are underdeveloped and locally focused, undermining the effectiveness of targets set. This research compares social outcomes of capital cities and regional areas within Australia with 12 environmental stressors and shows that consumption-based, environmental footprints are between 1.7 and 44 times higher than global averages. The most critical environmental issue is biodiversity loss within Australia while the most critical social issues are living standards in remote and regional communities, and inequality. The sustainability challenges for different actors, planetary boundaries, and economic sectors in Australia vary substantially, especially when viewed from a consumption rather than a production perspective.
Similar content being viewed by others
Introduction
Amidst growing recognition of the critical role of impact reduction by the wealthy1,2,3, Australia has been singled out globally as an environmental laggard, with per-capita impacts being amongst the highest in the world4. Australia is a highly urbanised country, with over 85% of people living in city environments, so the lifestyles of city dwellers and the infrastructure of cities are critical to addressing sustainability issues. As one of the most urbanised and wealthy countries in the world, with 67% of people living in greater capital city areas (see Supplementary Information Section S3.1)5, Australian cities have both the means and the imperative to address the global sustainability challenge6.
Cities are seen as key actors in achieving sustainability, with a large and increasing share of the global population that is driving a disproportionately large impact on the environment both within and outside city limits7. Despite this challenge, cities are also areas of high innovation, with the potential to use city infrastructure to radically reshape resource use and pollution8,9. Cities, however, generate most of their impacts remote from the city, and accordingly studying only local harms fails to understand the full consequences of urban consumption10. With limited time, political will and resources to address environmental issues, reliable data to understand the most worthwhile actions is critical.
Australian cities provide something of a paradox—an advanced economy but relying heavily on commodity exports; considered part of the “Global North” but situated in the physical South; a westernised, Commonwealth country but with major trading partners in the East Asia and the Pacific region; highly urbanised, but with vast sparsely populated rural and arid areas; a colonial history but highly multicultural, with nearly half the population first- and second-generation migrants. These qualities mean that Australian city sustainability needs to be examined using local data, not assumed from other global cities.
Defining overarching sustainability goals has proven to be an elusive process, with innumerable possible actions and large numbers of potential schemes that serve to diffuse sustainability-focused efforts. Increasingly, the sustainability community is focusing on ‘just’ outcomes, looking at how to achieve optimal human and environmental outcomes11,12. A popular iteration of this line of thinking, the “safe and just space” concept was defined in “Doughnut Economics” in 2012, as an economy in which basic human needs are met for all people while not exceeding the carrying capacity of the earth13,14,15. It defines the “just space” as social foundations that are necessary for a minimum level of human functioning, including physical requirements, such as access to electricity and water, adequate nourishment and life expectancy; and social requirements, such as education and equality, taken from the Sustainable Development Goals. The “safe” space is taken from the “Planetary Boundaries” (PB) framework, which maps critical environmental thresholds and processes to retain the earth within a Holocene-like state of stability and includes considerations such as climate change, biodiversity, chemical pollution and water usage16.
The doughnut concept has captured the imagination of city stakeholders globally and within Australia, with locally adapted “Doughnut portraits” being created for major cities of Sydney, Melbourne and Brisbane. These portraits have been created by community-based regeneration movements, using multi-stakeholder discussions17 to develop indicators to address challenges and opportunities particular to an individual city that are related to the key social and environmental concerns identified in “Doughnut economics”.
The doughnut economics concept has been generally welcomed as a useful communication and coordination tool18. However, some concerns have been expressed about the possibility of oversimplification of complex social and environmental impacts and relationships, and the ability to implement at different governance scales19,20,21.
To date, scholarship on the environmental sustainability of Australian cities has been highly focused on greenhouse gas emissions (see Supplementary Table 1). However, given that globally six of nine PBs have been exceeded22, understanding impacts more broadly is critical to ensuring that high risk activities are ameliorated.
Gaining a full understanding of city environmental sustainability is complicated by the very many activities and entities interacting in city spaces, with difficulties in defining physical city limits and sourcing data at this level23. This level of complication means that bottom-up approaches to quantifying total impact flows are time consuming, while top-down approaches may not be able to source data at the appropriate level24. PBs themselves have many complex drivers, only some of which are human-mediated, and in many cases consist of multiple more localised boundaries that may then cascade into global impacts25.
Footprint calculations focus on the indirect impacts of consumption and are a particularly relevant locus of interest for city sustainability, as territorial studies omit the overwhelming level of impact from cities on their hinterlands26. Footprint calculation aims to measure the indirect impact of consumption, considering the full supply chain of impacts (upstream) and ideally, further impacts arising from use and disposal (downstream).
Footprint calculations for urban areas have used four main approaches: ecological footprints, environmentally extended input-output (EEIO) analysis, lifecycle assessment (LCA) and hybrid EEIO-LCA assessment. Ecological footprints are a useful communication tool to demonstrate over-consumption, but do not have adequate detail to be useful in policy decisions27. Life cycle assessment methodologies use data on the trade in products and multiply with coefficients of intensity to estimate a total footprint. However, they may suffer truncation errors, and lack data for services, which can be improved by using hybrid EEIO-LCA analysis28. At a city level they are time consuming to consider the many thousands of potential products consumed and are rarely used in practice29,30,31.
Environmentally extended input output analysis was first pioneered by Wassily Leontief and uses economic sales data to reallocate emissions from suppliers to purchasers using an iterative reallocation process to fully determine all supply chain levels. This approach has the advantages of completeness, in that all emissions in the global supply chain are included and are allocated somewhere, and in ensuring that emissions are allocated to a single end use, while enabling a relatively quick calculation method, and enables disaggregation27,29. It does however rely on averaging processes that particularly impact small regions and sectors, and is a point in time estimation, compared with considering the entire life cycle of LCA methodology, that assumes that all impacts in a year can be attributed to all sales in a year. Downstream impacts from sales of items that pollute in the hands of customers, such as fossil fuel burning, are not included in input-output footprint calculations for the producer, but rather at the point of combustion/release, and accordingly may underestimate products such as petrol and gas that are burnt by households and governments.
Several different global input output tables and databases exist globally32,33, with city-based data able to be “nested” into national tables to create a hybrid city/national table that can then be used to estimate global impacts from city consumption at a national scale34. Multiregional input output analysis uses multiple global regions rather than a single “export” sector, which enables consideration of differing production intensities from different regions, and a more granulated understanding of supply chain impacts27.
Several studies have calculated footprints of Australian cities, with 13 city carbon footprint studies, with often quite different spatial boundaries and methodologies and accordingly quite different outcomes (see Supplementary Fig. 18). Additionally, two water footprint studies and one ecological footprint have been completed at a city level. With a very limited timeframe remaining to address tipping-point risks, a comprehensive understanding of economic impacts on people and the environment to enable identification of high potential impact reduction efforts and actors is essential in efficiently targeting sustainability efforts35,36.
Social sustainability and justice concepts have been subject to many different interpretations, from ensuring that environmental stressors do not significantly negatively affect humans11, to ensuring procedures are fair37, compensating for historic wrongdoings38, enabling adequate resource access for all people15, and measuring social impacts from supply chains of product consumption, including inequality, corruption, employment, modern slavery and gender inequality39,40,41,42,43.
“Doughnut Economics” uses indicators of human wellbeing that are largely unrelated to PBs themselves14, while the safe and just Earth system boundaries (ESB) concept, introduced in 2023, tightens the thresholds for PB stressors to additionally minimize significant harm caused to people11, reflecting evolving understandings around the interdependencies between humans, other species and the environment, amidst ongoing debate about planetary justice44.
In the Australian context, social sustainability as access to resources has often been subsumed within social studies concepts of poverty and deprivation45,46 or, at an urban planning level, using concepts such as liveability47, with very limited consideration of social sustainability as a standalone concept48. These social studies concepts define an acceptable minimum living standard, quantified either in terms of income, or access to material necessities and social inclusion, which then enable identification of groups suffering relative deprivation49.
Australia is one of several countries that have recently adopted a “wellbeing framework”. This consists of reporting on 50 different indicators across themes of “healthy, secure, sustainable, cohesive and prosperous”, covering economic, social and environmental concerns at a national level50,51.
While data mirroring the social indicators in “Doughnut Economics” has been collected for many years in Australia, including at a city level, notably by the Australian Bureau of Statistics, it has not been compiled and reported as a “social sustainability” assessment previously32, and typically thresholds for deprivation within Australia are significantly higher than benchmarks used in global studies34,35. While this is appropriate within the context of typical Australian standard of living, examining Australia’s performance against international benchmarks in this study enables understanding of globally equivalent deprivation levels and provides an appropriate counterbalance to the base-level environmental outcomes implied by PBs.
Initial efforts to provide comprehensive environmental sustainability data at a global level show that consumption of products from two key mega-sectors – the food system and the built environment, drive most global impacts across all PBs52. Here we aim to then downscale this work to a city context, to assess the extent to which Australia is living within the safe and just space and provide a more granular understanding of which economic sectors and regions are driving environmental impacts in the Australian economy.
This research addresses the current knowledge gap by applying a nested environmentally extended, multi-region input-output (MRIO) database to investigate multi-indicator Australian city sustainability and comprehensively assess production and consumption-based drivers across all at-risk PBs, at a city and regional level, for the first time, and comparing this with the social outcomes achieved. Investigating this issue at a city, regional and national level provides a common knowledge base to inform decision makers at all levels of government of the key issues at play in the Australian sustainability context, providing critical systems knowledge for the sustainability transition53.
Results
National environmental footprints
Globally nested footprints were calculated for 2019 for 12 environmental indicators representing human drivers of PBs, including greenhouse gases (GHG), plastics, pesticides, air pollution, ocean acidification, water consumption, nitrogen, excess phosphorus, land use, biodiversity loss and materials (see Table 1), and compared with global average per capita footprints. National footprints showed per capita Australian impacts between 2.0 and 14.2 times higher than global averages, apart from greenhouse gases from land use change, which are negative (i.e. reducing emissions) vs positive emissions globally.
PBs themselves are currently either within the safe boundary (green), between the safe boundary and the high-risk zone (orange) or above the high-risk zone (red). Where Australia exceeds the global average impacts and the global boundary is exceeded, it can be assumed that Australian impacts are not compatible with staying within PBs. Of all PBs, only three are currently within the safe zone (atmospheric aerosol loading, stratospheric ozone depletion, and ocean acidification) and, of these three, only ozone depletion (no footprint modelled) is comfortably within the safe zone and decreasing, while ocean acidification and aerosol loading are rapidly approaching overshoot of the safe zone22. Thus, aerosol loading, where Australia has “only” double the average global per capita impact is the least concerning footprint calculated here. Note that aerosol loading has substantial natural drivers, including desert dust and soot from wildfires, which may also be substantially affected indirectly by exceedances of other PBs such as climate change and land use change.
Regional environmental footprints
All Australian urban and regional footprints with the exception of Greenhouse gases from Land use, Land Use Change and Forestry (LULUCF) are between 1.7 and 44 times higher than global average (see Figs. 1, 2, 3). The footprints that are closest to global averages are air pollution and pesticide use, while biodiversity and land use are at least seven times higher than the global average for all regions. Given that most PBs have already exceeded the safe zone this demonstrates the highly unsustainable nature of Australian consumption patterns across all PBs.
Values show per-capita footprint relative to global average per-capita footprint, e.g. 12 indicates 12 x higher impact than the global average person. Outer circles show state of boundary exceedance – red is exceeded, yellow is in zone of risk. Global average is 1 in all cases. Where footprints are more than 7 times higher they are truncated to 7 for readability, and similarly when less than -2. See Figs. 3, 4 for a detailed breakdown.
Indicators are standardised to global average per capita impact. Note that the GHG Excl LULUCF is a summary indicator that can be further broken down into CO2, methane, nitrous oxides and Other GHG indicators (see Supplementary Fig. 17). FCE final consumption expenditure, excluding fixed capital items such as houses, factories and infrastructure. Indicators are standardised to global average per capita impact.
LULUCF are the only exception to this, with some forestry and agricultural regions showing a high uptake of carbon due to forestry regrowth. In these cases, particularly for Greater Hobart and the Rest of Tasmania, the per-capita drawdown from LULUCF exceeds the total per-capita emissions from other sources on a production basis, making this area a net negative GHG emitter on a production basis. However, the allocation of these emissions to the related product category of the landowner, in line with emission accounting protocols, means that consumption-based footprints in these regions are still high, e.g. forest regeneration activities are deemed to be sold to purchasers of timber products.
Netting out environmentally positive actions against environmentally negative actions (e.g. subtracting carbon drawdown from trees on farms from cow-based methane emissions) obscures the negative impacts of products, and thus the possibility of avoiding these impacts54,55,56. An improvement in allocation methodology to attribute regeneration activities practiced by all industries to regeneration services, in both environmental and economic accounts, may offer a pathway to better assess the success of impact reduction initiatives, and include offset markets into analyses.
Household consumption expenditure is the greatest contributor to all footprints. However, fixed capital formation (including the building of residential and commercial buildings and infrastructure) is particularly high impact for ocean acidification, plastics and materials, where this demand type alone has a higher footprint than the entire global average.
A more detailed breakdown of underlying sectors (see Supplementary Figs. 1-16) shows that the three highest-impact product types purchased across all indicators are ‘animal-based food products’, ‘wholesale and retail trade’ and ‘plant-based food products’. The lowest impact consumption-based sectors were sectors that largely do not supply the household and government sectors - ‘coal mining’, ‘phosphate and fertiliser minerals’, and ‘glass and ceramic’ products - and thus reflect low expenditure. These results demonstrate that the food system is a key contributor to environmental impact in Australia, especially animal farming, which is not being addressed by the current 100% renewable energy focus. Australia has the capacity to improve environmental outcomes across multiple PBs by investing in improving land management and agricultural practice.
The greater capital city regions of Australia based on the eastern seaboard (Sydney, Melbourne, Brisbane, ACT and Adelaide) show a similar pattern of impacts, with regional impacts being imported into city regions for most impacts. Impacts driven by the food sector (see Fig. 3), including water use, excess phosphorus, nitrogen, pesticides, land use and biodiversity, are mostly imported from rest of state and rest of Australia, with these regional impacts are also partly exported overseas. Breaking this down further, purchases of products from the animal-based food manufacturing sector are the top contributors to land use, biodiversity, nitrogen, and excess phosphorus footprints, while horticultural products are a top contributor to pesticide and water footprints. Plant-based food manufacturing is a high contributor to water and excess phosphorus footprints.
As an importer of impacts, city regions can consider changing consumption habits to remove high-impact activities, such as switching some animal to plant-based food, reducing food waste and considering organic horticultural products to reduce pesticide and nitrogen footprints. Because most of these food-based impacts are generated within Australia there is also the possibility of working in partnership with regional areas to directly reduce impacts within agricultural production sector, with the objective of making technological changes, such as using regenerative agriculture, to reduce impacts. Production changes would also benefit exports of food products.
Energy and building dominated impacts are split between those where Australia is a net importer (including plastics and air pollution) and those where Australia is breakeven or an exporter (including greenhouse gases, materials, LULUCF and ocean acidification). Locally produced fossil fuel-based Electricity generation is the largest driver of greenhouse gases, air pollution, and ocean acidification, while materials used, air pollution and plastics are associated with products in the commercial buildings and heavy engineering sectors. Moving to ensure a 100% renewable electricity supply to Australian cities, as pioneered in the ACT, is critical in the sustainability transition and major Australian cities are already targeting this outcome. Reducing impacts from the built environment is more difficult, with ongoing pressure to increase housing supply in an overall tight market, and associated infrastructure requirements, and additionally infrastructure build for the renewable energy transition. Capital cities were a mix of importing and exporting materials footprints, and similarly LULUCF.
Greater Darwin and Perth were both neutral or exporting a number of impacts, particularly greenhouse gases, ocean acidification and materials, related to their role as a producer of fossil fuel products. On a consumption basis, Darwin also shows a high per capita level of impacts from infrastructure projects, while several Greater City regions showed a net export of LULUCF greenhouse gas reductions.
Regional rest of state areas exported all footprints, apart from plastics and air pollution, which were uniformly imported, while Rest of NT was unique in importing excess phosphorus and pesticide footprints, reflecting a food production sector that is low in agricultural inputs.
As regional areas are exporters of most emissions, they are a key area for changes in production techniques. Failure to recognise the innovation and adaptation required in regional areas may undermine the sustainability transition underway as ensuring that changes required are socially embedded and fair is critical to the success of this transition.
Urban areas need to adjust consumption levels to reduce the pressure on regions and enable this transition to occur. Continual increases in energy and materials requirements mean that production innovations, such as renewable electricity, may merely offset the increase in usage, rather than decrease the use of fossil fuels.
Production- vs consumption-based environmental impacts
A comparison of production and consumption-based impacts by sector for individual regions and Australia as a whole (Fig. 4), together with a carbon map analysis to identify the ultimate source region of impacts for each region (Fig. 5) enables analysis of the relative benefits of supply and demand side policy responses. These results show that Australia is a net exporter of environmental impacts for most food and textile system PBs, including land-use, biodiversity, nitrogen, excess phosphorus, LULUCF and materials use. A high net level of imported impacts is shown for Air Pollution and Plastics (predominantly from rest of East Asia region). Water, greenhouse gases (excluding land use change), pesticides and ocean acidification impacts are fairly evenly balanced between imports and exports (see Fig. 4). However, the ultimate source region analysis shows at least 30% of each footprint is external to Australia implying that there is both a substantial import and export of impacts, approximately balancing out in the year studied.
Production-based impacts are shown in full colour allocated to the sector that initially produces the impact. Footprints (consumption-based) are semi-transparent, allocated to the sector related to the final product purchased, and include impacts outside Australia. C/P shows the ratio of consumption emissions to production emissions. Where the C/P ratio is less than 1 Australia is an overall net exporter of impacts, while greater than 1 indicates Australia is a net importer of impacts. This analysis includes impacts generated after the point of sale by households and end users for water, greenhouse gases (GHG) and Air Pollution (red bar segment at top).
These data illustrate the extractive nature of the Australian economy, where high environmental damage underpins an export trade based on environmentally damaging mining and agricultural production.
Capital city vs regional footprints
Research suggests that achieving a high level of resource consumption is the reason for, not an unfortunate side-effect of city living, which acts to accelerate environmental crises57,58. Previous research has found that urban residents generally have higher environmental footprints than residents of nearby rural areas, correlating with lower expenditure in such areas, although this outcome may be less pronounced as wealth increases59,60,61,62,63. By contrast, these results show that for most states in Australia there is not a consistent variation in per-capita impact between capital city and regional areas.
Social indicators of earnings (see Fig. 6) show that Australian regional residents have a lower income on average, but this is not reflected in significantly lower environmental impacts – in fact in some categories regional areas have higher footprints.
Indicators may be positive (green) where higher values indicate greater wellbeing or negative (red) where lower values indicate greater wellbeing109. Global target values per O’Neill175 are shown in black where available. Note that “Food (nutrition)” and “Gender Equality—Parliament” are only available at a state level. Data are available on a national level only for “Population with access to electricity” with an assumed result of 100% (target > 95%), “Gender Equality—Pay” and “Political Voice—Democratic quality”. Suggested indicators not mapped include “Population without access to improved sanitation” and “Population lacking access to clean cooking facilities”.
Possible explanations may include the significant contribution of regional economies to Australian exports through mining and agriculture, with areas such as Regional Western Australia (WA) and Northern Territory (NT) having a higher gross domestic product (GDP) per capita than related Greater City Regions (GCR), the globally high cost of housing in Australian cities (reflecting land values) depressing other household consumption relative to regional areas; longer transport distances and associated impacts in regional areas; or possibly it suggests that the GCR used don’t reflect the patterns of poverty and wealth in Australia – low-income households may settle in outer urban areas, while many regional areas attract tree and sea-change wealthy retirees.
Previous studies have shown significant variations in carbon footprints within Australian capital cities64,65, and accordingly looking at smaller scale regions may provide a greater understanding of geographical variations in footprints.
Land use and biodiversity
Land use represents the highest relative per-capita footprint levels for Australia, driven by consumption of animal-based food manufacturing products. This reflects in part the low population in regional areas and extensive grazing in semi-natural ecosystems at low stocking levels through much of semi-arid and arid Australia66. The approach taken here maps all human land use, though the land use PB control variable only considers some types of forest cover remaining, with no land use within Australia impacting this tipping point25. Given this definition, and the fact that the vast majority of the land use footprint is sourced from Australia (see Fig. 5) the globally high land use within Australia does not currently represent a risk to tipping points. Should high-value agricultural land in tropical and boreal forest zones be returned to a wild state in line with PB requirements, however, it is likely that all remaining agricultural land would need to support more people, at which point Australia’s per-capita land use footprint would need to fall.
Biodiversity is therefore the most critical PB impact from Australian consumption. Analysis of the ultimate source region of biodiversity loss shows that nearly all impacts are Australian driven (see Fig. 5), which represents an opportunity to address this issue both directly and through consumption changes.
Australia has globally high extinction rates, predicted to escalate, and ecosystems are collapsing, with even iconic Australian species such as the koala at risk of extinction67. Pressures on biodiversity include loss and fragmentation of habitat, introduced species and the legal and illegal wildlife trade68. These results show that reducing pressure on biodiversity from food production to enable release of land for habitat is essential, with the highest consumption-based impacts driven by animal-based food products. On a production basis, improvements in agricultural production systems and on the consumption side switching from animal- to plant-based protein, reducing food waste, and avoiding grain-fed meat would assist69. Australian agriculture is projected to be highly impacted by climate change, and therefore the greater efficiency of plant-based diets may also be necessary if overall yields cannot be maintained in the face of drought, fire and flood, and projected global population growth. However, because of the many complex interactions, significant disturbance, climate change impacts, and ongoing requirement for human land use, reducing consumption of these products must be complemented by ecologically driven land-management to achieve improved biodiversity outcomes70,71,72 with urgent restoration of land and marine ecosystems required73.
Concepts of urban biodiversity frequently emphasise the services to humans provided by time in nature, carbon sequestration, tourism opportunities, purification of air and water, and temperature management74,75. This human access to nature may add pressure to ecosystems through pollution impacts, road building and importation of feral and domesticated species both deliberately and accidentally76,77, leading to international conservation efforts focused on large patch sizes and thus compact city approaches78,79,80. By contrast, Australian cities harbour a disproportional number of endangered plant species, with significant cultural value attached, which need to be considered in planning approaches81,82. The high level of urban sprawl in Australian cities is a further challenge to compact city approaches.
Novel entities
The novel entities control variable has been defined as “Percentage of synthetic chemicals released to the environment without adequate safety testing”. This boundary definition implies that we need a more rigorous system of approval for the development and release of new substances and technologies. However, it does not consider the issue of all the chemicals already in the environment, which still need to be safely detoxified or removed83.
In the absence of relevant data two chemical types known for their environmental damage—pesticides and plastics—have been mapped here. Pesticide impacts are highly associated with Australian-sourced ‘horticulture and other agriculture’ products, while plastics are predominantly related to purchases for ‘commercial and residential building’, and to a lesser extent ‘wholesale and retail trade’ and ‘textile and footwear’ products.
Australian crops particularly associated with human and aquatic ecotoxicity from pesticides include cotton, citrus, winter legumes, sown pastures, grapes, winter cereals and rice84. From a consumption-based perspective preferencing organically grown foods and cottons may reduce this impact and provide an incentive to develop alternative management strategies85.
This study models the purchase of plastics by industries, rather than the more common focus on end-of-life waste86,87. This aligns with the sales data used to allocate impacts to end-users in input-output analysis and the definition of the novel entities boundary in relation to the creation of untested chemical products, and suggests that all plastics sold have the potential to be pollutants. Increasingly the ubiquity and impact of microplastics and smaller fragments, and widespread addition of dangerous chemicals to plastic lead many to question the viability of consumption of plastics at all88, with policy responses banning single-use plastics89 and the negotiation of a Global Plastics Treaty90; however, suitable substitutes may not be available for all applications91.
National social indicators
Overall, Australia performs well on most social indicators (see Table 2), reflecting the high level of income and quality of life for which it is renowned92, and is generally well above minimum suggested thresholds15,93.
Social indicators are divided into two categories here—those that contribute to physical well-being, such as income, nutrition, and food, and those that contribute to social well-being, such as equality, education, and connection. It is in these social well-being indicators that the greatest area of social vulnerability for Australia is shown, with suboptimal gender and income inequality levels. This reflects the reality that many of Australia’s social issues relate to sharing, rather than inadequate resources—census statistics show many more empty houses than homeless people, and many more people with spare rooms than people living in overcrowded accommodation94,95. A comparison of Gini indicators before and after social transfers (such as pensions etc) shows the equalising impact of Australia’s social welfare system, reducing from 0.479 for income excluding pensions and allowances, to 0.319 for disposable income. While a significant improvement this is still above the suggested global goal of 0.3.
Data for some indicators were only available on a national basis, including gender equality, political voice, and access to improved drinking water.
Gender equality data on the earnings gap between men and women shows a median gender pay gap of 19.0%, with every industry having a median gender pay gap in favour of men, with especially high gaps in male-dominated industries and for smaller employers, likely to be more common in regional and rural areas96,97. While no global target has been suggested, a result of 0% would imply equality has been reached. The Australian government targets a gender earnings gap of +/- 5%98.
Political voice is measured globally using the voice and accountability index, with Australia ranking 15th in the world with a score of 1.32, against a suggested threshold of 0.5 or higher14,99, showing considerable freedoms within Australia. This includes considerations such as participation in selecting government, freedom of expression, association, and media. An alternate measure of this aspect is the “freedom in the world” report100, which scores Australia at 95/100. Some areas of concern documented in this report include disproportionate hardship experienced by subsections of the community, especially Aboriginal and Torres Strait Islander people, reflected in the other social indicators in this report.
Regional social sustainability—physical wellbeing
Comparing different GCR within Australia shows significant variances between regions, with regional and rural areas lagging in several areas, including income, unemployment and life expectancy, but cities generally are worse for homelessness, overcrowding and inequality. Even where data suggest full coverage, such as electricity connection, regional and remote areas, especially remote and Indigenous communities, suffer from disparities in regulatory protections for consumers, such as guaranteed service levels, that can lead to inadequate electricity access101. Similarly assumed universal coverage of water, sewerage and electricity in Australia may not apply for remote and regional Indigenous communities102.
Data were only available at a state level for infant mortality and food security. Infant mortality rates ranged between 1.8 (South Australia) and 8.3 (Northern Territory) deaths per 1000 births. This is well below suggested global targets of 25 per 1000 live births, however, does indicate that some regions could reasonably aspire to better outcomes.
Food security ranged between 65 and 71% for all regions, indicating that between 29 and 35% of households were either reducing the quality or quantity of food eaten for financial reasons in the past year. Particularly at-risk demographics, with over 50% moderately or severely food insecure included 18–24-year-olds, the unemployed, disability pensioners and carers, single parents with children, and those in social/mobile housing or homeless103. These results did not significantly vary by state or regional vs metro residents.
A striking aspect of the social sustainability results is the especially poor outcomes in “Rest of NT”, which are consistent with high levels of disadvantage being experienced by Aboriginal and Torres Strait Islander peoples living in remote parts of Australia104 given the high proportion of Indigenous families living in that region (see Fig. 6). This is one of the few areas in which Australia does not meet global social sustainability targets. Concerningly, this region also has very high per-capita production and consumption-based emissions, demonstrating an economy that is destructive to both people and planet.
The poor social outcomes for Aboriginal and Torres Strait Islander peoples in Australia are well acknowledged and have been specifically targeted for improvement with government initiatives such as Closing the Gap and the Northern Territory Intervention, but with limited improvement105,106. The recent failure of the 2023 “Voice” referendum to include recognition of Aboriginal and Torres Strait Islanders in the Australian Constitution demonstrates that Australia is still grappling with the relationship between Indigenous and non-Indigenous citizens107,108.
While the results of this study show a clear issue with physical wellbeing factors including housing, homelessness and education, other targets suggested as equally relevant to remote communities include adequate nutrition, access to transport and access to appropriate healthcare109,110. Further measures of social wellbeing, such as “having someone to count on in times of need”, would help to recognise the demonstrated link between social support, involvement in culture and positive outcomes for Indigenous communities, and that act as buffers for other areas of deprivation110,111,112,113.
Regional social sustainability—social well-being
Internet access is unsurprisingly shown as better in cities than related regional areas, while inequality is worse, and education levels vary; gender equality in parliament and homicide rate are only available on a state basis; and all other social well-being indicators are available at a national level only (see Section "National Social Indicators" for discussion).
Gender equality in parliament is particularly low in Queensland, and high in the ACT and Victoria, reflecting a more conservative voting populus in QLD, and typically more progressive voters in the more urbanised ACT and Victoria. While homicide rates are low by global standards (avg. 1.65 per 100,000 vs a global target of below 10) there is a notably higher rate in Northern Territory (4.5) than the rest of Australia (between 1.3 and 2).
Education rates do not vary consistently between city and rest of state areas. Note that the statistics chosen show adults who have been either never educated or stopped schooling before Year 9, not current teenagers as suggested in “Doughnut Economics” due to unavailability of statistics. Interestingly the rate of “never educated” adults is higher in large capital cities such as Sydney and Melbourne, and it is speculated that this might reflect immigrants from regions without a comprehensive formal education system, given that schooling is compulsory until the age of 16 for all children in Australia, and these cities have a higher migrant community overall. Regional areas have a uniformly higher rate of limited schooling ( < grade 8) than the related greater capital city areas. Adult education for affected persons would improve opportunities for those individuals.
Income equality (Gini index) is uniformly high, with a value of between 0.411 (Greater Darwin) and 0.504 (Greater Sydney), although note that these statistics are only available at a regional level for disposable income before transfers, while social security transfers significantly reduce inequality nationally (see discussion in Section "National Social Indicators"). Inequality has been linked to negative outcomes including undermining democracy, eroding social cohesion, and causing stress and illness114. While inequality disproportionately disadvantages the less well off, the association with sociopolitical instability, inability to respond to crisis, higher crime, worse institutions, and greater corruption also negatively impact the wealthy115,116. Inequality bequeaths advantages to wealthy individuals that enable them to capture regulatory processes to their own advantage, which coupled with a greater belief in their own relative competence, tends to further increase inequality over time117.
Increasing city size has been positively correlated with rising inequality118,119, which is generally reflected in Australian data, except for the Greater Perth region where inequality is disproportionately high for the population level. Inequality levels impact the adequacy of supply of physical goods such as water, where 100% access statistics do not reflect quite different levels and types of usage120,121.
Discussion
Australian Government operates at a three-tier level, with Greater City Regions, as studied here, often administered by multiple local governments (e.g. 35 within Greater Sydney Region), with State oversight and Federal involvement, leading to a fragmented governance regime which complicates the ability to coordinate sustainability action.
Nationally, Australia has committed to Net Zero by 2050 and 43% below 2005 levels by 2030 translating to 11.8 t CO2-eq per-capita (of production-based emissions) by 2030, approximately halving the 2019 emissions on a per-capita basis. Australia has also signed the Global Methane Pledge122 and Kunming Montreal Global Biodiversity Framework123, with a national target to protect and conserve 30% of Australia’s landmass and 30% of Australia’s marine areas by 2030, and additionally a goal of no new extinctions. These data shows that the “no new extinctions” goal may well be the most difficult to achieve, with additional impacts from climate change exacerbating already high human impacts and potentially undermining entire ecosystems in the next decade, especially in the absence of effective climate action124.
Policies need to address the most critical environmental issues of biodiversity loss, greenhouse gas emissions and novel entities; the most critical social issues of conditions in remote and Indigenous communities, and inequality; and focus on the highest footprint economic sectors – food system (especially animal-based food products), the built environment (especially commercial buildings and infrastructure), the energy system (especially fossil fuel-based energy) and overall expenditure (via wholesale and retail trade).
The best policy approaches address multiple environmental, social, resilience, adaptation, and risk goals simultaneously. Policies should consider timing issues, including future demographics and climate, capital investment cycles, growing and shrinking industries, stages of technological adoption, following the sun for energy usage, and end of life impacts125,126,127. Addressing the full economic and environmental system, considering both consumption and territorial impacts, potential rebound effects, needs of different sectors, highest impact processes, and all incentives at play will also improve policy making.
Transformation studies focused on the Sustainable Development Goals in Australia suggest policies such as increased expenditure on health, education, climate adaptation, agricultural training, water efficiency, renewable energy, electrification of buildings and transport, increase in timber buildings, regeneration and ecosystem protection and income redistribution to low-income earners are the most critical policies for Australia to achieve sustainability128.
Policy options include price-based (such as taxes and subsidies), rights based (including tradeable permits), regulatory and legal, information and finance129, with policy mixes more effective than single policy instruments130,131. Pricing carbon has been shown to be an effective approach to reducing carbon emissions130, including Australia’s 2011 Carbon Tax132.
Market mechanisms to address environmental challenges including carbon and biodiversity markets and offsetting have been attempted in Australia to encourage private land conservation, however significant issues have been associated with these approaches, which ultimately function to support economic activity, not nature repair133,134.
Concerns with market approaches include the level of ongoing market organisation required135,136, lack of theoretical underpinning137,138,139, and effectiveness and efficiency of using market-based approaches to address the market failure that environmental impacts represent133,138,140.
Safe and Just Space initiatives in Australian cities to date are largely focused on local and regional environmental and social issues141,142, overlooking the broader issues from supply chains for city consumption shown here, and more challenging social conditions in many regional areas. Local and downstream impacts of Australia’s exports also cause a significant environmental impact. Diversifying to sustainability-aligned export markets will be necessary to maintain Australian prosperity in a sustainability-focused world. Including consideration of upstream and downstream impacts in policy decisions, although complex and difficult, may contribute to a systemic improvement in environmental and social outcomes in Australia.
While mitigation of environmental impacts is of critical importance, a significant challenge for cities and regions going forward is likely to be the need for climate adaptation measures in the face of accelerating climate change impacts with indications that climate pathways are likely to exceed 1.5 degrees143,144,145. Significant impacts from sea level rise, excessive rainfall and related flooding are predicted to occur by the mid-21st century146,147,148,149. Given the major contribution of the construction sector to PB exceedance shown here, planning approaches that use climate adaptation forecasts to minimise the loss of built environment resources (and inter alia human suffering) will reduce long-term environmental impacts associated with the replacement of those resources150. Durability and maintenance requirements of proposed city infrastructure should be carefully considered in light of worst-case scenarios of climate impacts and poly-crisis scholarship, which suggest the possibility of widespread supply chain disruptions within the design-life of built-environment assets151,152,153.
Given the intertwined and unprecedented nature of these issues154,155, cities are exploring experimental concepts of degrowth156, circular economy157,158 and regeneration159,160. Establishing pilot sustainability projects that generate scalable insights enables the exploration of desirable futures and facilitates fast responses to political opportunities161.
Beyond physical interventions, fundamental shifts in values that emphasise connection to and diversity of both people and nature are hoped to underpin a movement from an extractive economy to environmental stewardship162,163, and offer resilience benefits in an uncertain future.
Methods
Calculation of consumption-based impacts
This study used a nested environmentally extended input-output analysis to estimate the environmental footprints of Australian cities and regions.
The model used included 15 Australian Greater City regions and their respective Rest of State areas (where applicable), thus providing coverage of the whole of Australia. Sectoral breakdowns consisted of 51 economic sectors, which were chosen based on their relevance to key environmental issues (e.g. ‘phosphate mining’ and ‘plastics and polymers’) and to retain association with established sector groupings to maximise the alignment with underlying data sources. Sectors were also chosen to preserve as much information as possible by retaining economic relationships where possible (e.g. separating plant and animal-based products at both primary and secondary economic level). Where results are shown grouped into broad categories this grouping has occurred subsequently to calculating footprints.
Data on the supply and use of products in the Australian economy and financial inter-relationships between Australian producers and consumers were taken from the Australian IELab164. The Australian IELab data are sourced from the Australian System of National Accounts, published by the Australian Bureau of Statistics165,166. The Australian Industrial Ecology Lab (IELab) consists of 2214 regions and 1284 sectors and runs an algorithmic process to create customised input-output tables based on user-chosen combinations of pre-existing economic and satellite data, optimisation protocols, and sector and regional combinations.
For international data economic and environmental impact data we used Release 057 of the Global Resource Input-Output Assessment (GLORIA) environmentally extended multi-region input-output (MRIO) database167, constructed in the Global MRIO Lab168. The GLORIA database is a summarised version of the Global MRIO Lab industry-product input-output table consisting of 120 sectors and 164 regions. GLORIA tables were aggregated to 51 sectors and 14 regions consisting of eight regions in East Asia and the Pacific (including Australia), representing Australia’s largest trading partners, and six other World Bank regions (see Supplementary Table 2).
The Australian subnational input-output (IO) tables were then nested within the aggregated global IO table (replacing the original Australian region), using the technique established by34.
Four categories of final demand were included, to enable assessment of the actors responsible for final purchases, including household final consumption expenditure, government final consumption expenditure, fixed capital formation, and changes in inventories. Household final consumption expenditure (excluding ownership of dwellings) for each city and region was recalibrated to total expenditure based on Household expenditure data for SA4 regions169 plus expenditure from non-profit institutes serving households to improve the estimates for urban and regional areas (see Supplementary Table 3). This calibration was only undertaken at a total level due to the degree of anonymisation of the data undertaken by the Australian Bureau of Statistics resulting in significant arithmetic inconsistency at a lower level, with the underlying proportional split between sectors being retained from the original AusIELab run.
Environmental indicators were chosen to represent human-mediated drivers of PB impacts, consisting of 11 indicators that relate to PB drivers, and an additional indicator of materials use as a possible “missing” PB indicator (Goodwin 2020). The ozone layer boundary was not mapped due to available information not matching well with the model structure. This boundary is within the safe zone and improving, and globally the majority of ozone-damaging chemicals have now been phased out170.
Australian environmental satellite production-based data was taken from bottom-up Australian data sources where possible or downscaled from national data using economic production value otherwise (see Supplementary Information section S3.5). Global Satellite data were sourced from a combination of GLORIA data feeds, Global IELab data feeds, and other reputable sources of Global data (see Fig. 7 for a detailed breakdown). Further details of the data used can be found in the Supplementary Tables 5 and 6.
The global environmentally-extended multi-region input-output database (GLORIA) is the primary source of data168,176, and Industrial Ecology Lab (IELAB) – both the Australian IELab (AUS)164 and Global IELab (Global)177,178. Details of other data sources and references are included in Supplementary Table 5. IO tables input output tables, HES household expenditure survey, DCCEEW Australian Government Department of Climate Change, Energy, the Environment and Water, ABS Australian Bureau of Statistics, OECD Organisation for Economic Cooperation and Development.
Production-based impacts were reallocated to consumption-based products using a standard Leontief input-output analysis171,172,173.
To calculate the ultimate source of emissions for each region and footprint a carbon mapping approach was used based on174. This approach takes the final footprint for each region and then reverses the Leontief calculation to determine the original sectors and regions for each footprint.
Social impacts
Social impact scores were chosen to best reflect suggested social impact indicators in Raworth 201715, given available data sources (see Supplementary Table 4). While many city-based implementations of “Doughnut Economics” concepts use a consensus process to establish locally relevant goals, this work takes a base level social goal, mirroring the base level environmental outcomes also being targeted. Given the limited resources available for sustainability initiatives and the perceived trade-off between people and planet this mirroring is important in prioritising the most critical socio-environmental issues.
Suggested targets for social impacts are taken from O’Neill, 2018175 where available.
Data availability
Data sources are provided within the Supplementary Information.
Code availability
The codes used in this study are available from the corresponding author upon reasonable request.
References
Otto, I. M., Kim, K. M., Dubrovsky, N. & Lucht, W. Shift the focus from the super-poor to the super-rich. Nat. Clim. Chang 9, 82–84 (2019).
Tian, P. et al. Keeping the global consumption within the planetary boundaries. Nature 635, 625–630 (2024).
Wiedmann, T., Lenzen, M., Keyßer, L. T. & Steinberger, J. K. Scientists’ warning on affluence. Nat. Commun. 11, 3107 (2020).
Sachs, J., Kroll, C., Lafortune, G., Fuller, G. & Woelm, F. Sustainable Development Report 2021. Sustainable Development Report 2021 https://doi.org/10.1017/9781009106559 (2021).
ABS. 50 years of capital city population change. Preprint at https://www.abs.gov.au/articles/50-years-capital-city-population-change (2022).
Steele, W., Freestone, R. & Randolph, B. Australian urban policy futures. Australian Urban Policy: Prospects and Pathways (ANU Press,). https://doi.org/10.22459/aup.2024 (2024).
Bai, X. et al. Six research priorities for cities and climate change. Nature 555, 23–25 (2018).
Chen, S. et al. Advancing urban infrastructure research for a carbon-neutral and sustainable future. Resour. Conserv Recycl 197, 2020–2023 (2023).
Malekpour, S. et al. Transformative localization to accelerate the 2030. Agenda Nat. Sustain 7, 516–518 (2024).
Bai, X. et al. How to stop cities and companies causing planetary harm. Nature 609, 463–466 (2022).
Rockström, J. et al. Safe and just Earth system boundaries. Nature 619, 102–111 (2023).
Avelino, F. et al. Mapping the diversity & transformative potential of approaches to sustainable just cities. Urban Transform. 6, 5 (2024).
Raworth, K. A Safe and Just Space for Humanity: Can we live within the doughnut? Oxfam Discussion Papers. Oxfam Policy Pract.: Clim. Change Resil. 8, 1–26 (2012).
Raworth, K. Doughnut Economics. 7 ways to think like a 21st Century Economist. Chelsea Green Publ., Vermont (2017).
Raworth, K. A Doughnut for the Anthropocene: Humanity’s compass in the 21st century. Lancet Planet Health 1, e48–e49 (2017).
Rockström, J. et al. Planetary Boundaries guide humanity’s future on. Earth. Nat. Rev. Earth Environ. 5, 773–788 (2024).
DEAL. Organisations & Networks. https://doughnuteconomics.org/organisations-and-networks (2024).
Gupta, J. et al. Reconciling safe planetary targets and planetary justice: Why should social scientists engage with planetary targets? Earth Syst. Governance. 10, 100122 (2021).
Drees, L., Luetkemeier, R. & Kerber, H. Necessary or oversimplification? On the strengths and limitations of current assessments to integrate social dimensions in planetary boundaries. Ecol. Indic. 129, 108009 (2021).
Turner, R. A. & Wills, J. Downscaling doughnut economics for sustainability governance. https://doi.org/10.1016/j.cosust.2022.101180 (2022).
Dragicevic, A. Z. Deconstructing the Doughnut. Curr. Opin. Environ. Sustain 68, 101451 (2024).
Richardson, K. et al. Earth beyond six of nine planetary boundaries. Sci. Adv. 9, eadh2458 (2023).
Ramaswami, A. et al. Carbon analytics for net-zero emissions sustainable cities. Nat. Sustain 4, 460–463 (2021).
Froemelt, A., Geschke, A. & Wiedmann, T. Quantifying carbon flows in Switzerland: top-down meets bottom-up modelling. Environ. Res. Lett. 16, 14018 (2021).
Steffen, W. et al. Planetary boundaries: Guiding human development on a changing planet. Science (1979) 347, 1259855 (2015).
Goodwin, K. et al. Targeting 1.5 degrees with the global carbon footprint of the Australian Capital Territory. Environ. Sci. Policy 144, 137–150 (2023).
Wiedmann, T. & Barrett, J. A review of the ecological footprint indicator-perceptions and methods. Sustainability 2, 1645–1693 (2010).
Crawford, R. H., Bontinck, P. A., Stephan, A., Wiedmann, T. & Yu, M. Hybrid life cycle inventory methods – A review. J. Clean. Prod. 172, 1273–1288 (2018).
Lutter, S., Giljum, S. & Bruckner, M. A review and comparative assessment of existing approaches to calculate material footprints. Ecol. Econ. 127, 1–10 (2016).
Beloin-Saint-Pierre, D. et al. A review of urban metabolism studies to identify key methodological choices for future harmonization and implementation. J. Clean. Prod. 163, S223–S240 (2017).
Ghaemi, Z. & Smith, A. D. A review on the quantification of life cycle greenhouse gas emissions at urban scale. J. Clean. Prod. 252, 119634 (2020).
Wood, R., Moran, D. D., Rodrigues, J. F. D. & Stadler, K. Variation in trends of consumption based carbon accounts. Sci. Data 6, 99 (2019).
Malik, A., McBain, D., Wiedmann, T. O., Lenzen, M. & Murray, J. Advancements in Input‐Output Models and Indicators for Consumption‐Based Accounting. J. Ind. Ecol. 23, 300–312 (2019).
Fry, J. et al. Creating multi‐scale nested MRIO tables for linking localized impacts to global consumption drivers. J. Ind. Ecol. 26, 281–293 (2022).
Nielsen, K. S. et al. Realizing the full potential of behavioural science for climate change mitigation. Nat. Clim. Chang 14, 322–330 (2024).
Nielsen, K. S., Nicholas, K. A., Creutzig, F., Dietz, T. & Stern, P. C. The role of high-socioeconomic-status people in locking in or rapidly reducing energy-driven greenhouse gas emissions. Nat. Energy 2021 1–6 https://doi.org/10.1038/s41560-021-00900-y (2021).
Gupta, J. et al. Earth system justice needed to identify and live within Earth system boundaries. Nat. Sustain 6, 630–638 (2023).
Zimm, C. et al. Justice considerations in climate research. Nat. Clim. Chang 14, 22–30 (2024).
Wiedmann, T. & Lenzen, M. Environmental and social footprints of international trade. Nat. Geosci. 11, 314–321 (2018).
Alsamawi, A., Murray, J., Lenzen, M., Moran, D. & Kanemoto, K. The inequality footprints of nations: A novel approach to quantitative accounting of income inequality. PLoS One 9, e110881(2014).
Xiao, Y., Norris, C. B., Lenzen, M., Norris, G. & Murray, J. How social footprints of nations can assist in achieving the sustainable development goals. Ecol. Econ. 135, 55–65 (2017).
Xiao, Y. et al. The corruption footprints of nations. J. Ind. Ecol. 22, 68–78 (2018).
Shilling, H. J., Wiedmann, T. & Malik, A. Modern slavery footprints in global supply chains. J. Ind. Ecol. 25, 1518–1528 (2021).
Humphreys, S. How to define unjust planetary change. Nature 61, 35–36 (2023).
Saunders, P. & Wong, M. Locational differences in material deprivation and social exclusion in Australia. Australas. J. Regional Stud. 20, 131–159 (2014).
Saunders, P., Naidoo, Y. & Wong, M. Comparing the monetary and living standards approaches to poverty using the Australian experience. Soc. Indic. Res. 162, 1365–1385 (2022).
Giles-Corti, B. et al. Spatial and socioeconomic inequities in liveability in Australia’s 21 largest cities: Does city size matter? Health Place 78, 102899 (2022).
Rasouli, A. H. & Kumarasuriyar, Dr. A. The Social Dimention of Sustainability: Towards Some Definitions and Analysis. J. Soc. Sci. Policy Implic. 4, 23–34 (2016).
ACOSS & UNSW Sydney. Material deprivation in Australia: The essentials of life - A poverty and inequality partnership report. (2024).
Australian Government. Measuring what matters: Australia’s first wellbeing framework. (2023).
Jansen, A., Wang, R., Behrens, P. & Hoekstra, R. Beyond GDP: A review and conceptual framework for measuring sustainable and inclusive wellbeing. Lancet Planet Health 8, e695–e705 (2024).
Goodwin, K., Li, M. & Wiedmann, T. Beyond greenhouse gases – Comprehensive planetary boundary footprints to measure environmental impact. Sustain Prod. Consum 52, 29–44 (2024).
Creutzig, F. et al. Towards a public policy of cities and human settlements in the 21st century. npj Urban Sustainability 4, 29 (2024).
Lakanen, L., Kumpulainen, H., Helppi, O., Grönman, K. & Soukka, R. Carbon Handprint Approach for Cities and Regions: A Framework to Reveal and Assess the Potential of Cities in Climate Change Mitigation. Sustainability 14, 6534 (2022).
Heinonen, J. & Ottelin, J. In Rethinking Sustainability Towards a Regenerative Economy (eds. Andreucci, M. B., Marvuglia, A., Baltov, M. & Hansen, P.) 115–129 (Springer, Cham,). https://doi.org/10.1007/978-3-030-71819-0_6 (2021).
Gebler, M., Juraschek, M., Thiede, S., Cerdas, F. & Herrmann, C. Defining the “Positive Impact” of socio - technical systems for absolute sustainability: a literature review based on the identification of system design principles and management functions. Sustain Sci https://doi.org/10.1007/s11625-022-01168-1 (2022).
Bettencourt, L. & West, G. A unified theory of urban living. Nature 467, 912–913 (2010).
Elmqvist, T. et al. Urbanization in and for the Anthropocene. npj Urban Sustainability 1, 1–6 (2021).
Yuan, R., Rodrigues, J. F. D., Wang, J., Tukker, A. & Behrens, P. A global overview of developments of urban and rural household GHG footprints from 2005 to 2015. Sci. Total Environ. 806, 150695 (2022).
Connolly, M., Shan, Y., Bruckner, B., Li, R. & Hubacek, K. Urban and rural carbon footprints in developing countries. Environmental Research Letters 17, (2022).
Eaton, R. L., Hammond, G. P. & Laurie, J. Footprints on the landscape: An environmental appraisal of urban and rural living in the developed world. Landsc. Urban Plan 83, 13–28 (2007).
Liu, M. et al. Regional inequality and urban-rural difference of dietary water footprint in China. Resour. Conserv Recycl 199, 107236 (2023).
Gill, B. & Moeller, S. GHG emissions and the rural-urban divide. A carbon footprint analysis based on the german official income and expenditure survey. Ecol. Econ. 145, 160–169 (2018).
Chen, G., Hadjikakou, M., Wiedmann, T. & Shi, L. Global warming impact of suburbanization: The case of Sydney. J. Clean. Prod. 172, 287–301 (2018).
Froemelt, A. & Wiedmann, T. A two-stage clustering approach to investigate lifestyle carbon footprints in two Australian cities. Environ. Res. Lett. 15, 104096 (2020).
DAFF. Rangelands. https://www.agriculture.gov.au/agriculture-land/farm-food-drought/natural-resources/vegetation/rangelands (2019).
Legge, S., Rumpff, L., Garnett, S. T. & Woinarski, J. C. Z. Loss of terrestrial biodiversity in Australia: Magnitude, causation, and response. Science (1979) 381, 622–631 (2023).
Marshall, B. M. et al. The magnitude of legal wildlife trade and implications for species survival. Proc. Natl. Acad. Sci. 122, e2410774121 (2025).
Rockström, J., Edenhofer, O., Gaertner, J. & DeClerck, F. Planet-proofing the global food system. Nat. Food 1, 3–5 (2020).
Kremen, C. & Merenlender, A. M. Landscapes that work for biodiversity and people. Science 362(6412), 2018.
Perino, A. et al. Rewilding complex ecosystems. Science 364(6438), (2019).
Sweeney, O. F. et al. An Australian perspective on rewilding. Conserv. Biol. 33, 812–820 (2019).
Saunders, M. I. et al. A roadmap to coastal and marine ecological restoration in Australia. Environ. Sci. Policy 159, 103808 (2024).
Eldridge, D. J. et al. Urban greenspaces and nearby natural areas support similar levels of soil ecosystem services. npj Urban Sustainability 4, 1–9 (2024).
Adams, C., Frantzeskaki, N. & Moglia, M. Actors mainstreaming nature-based solutions in cities: A case study of Melbourne’s change agents and pathways for urban sustainability transformations. Environ. Sci. Policy 155, 103723 (2024).
Engert, J. E. et al. Ghost roads and the destruction of Asia-Pacific tropical forests. Nature 2024 1–6 https://doi.org/10.1038/s41586-024-07303-5 (2024).
Legge, S. et al. We need to worry about Bella and Charlie: The impacts of pet cats on Australian wildlife. Wildlife Res. 47, 523–539 (2020).
Dasgupta, P. The economics of biodiversity: the Dasgupta review. (2021).
Simkin, R. D., Seto, K. C., McDonald, R. I. & Jetz, W. Biodiversity impacts and conservation implications of urban land expansion projected to 2050. Proc. Natl. Acad. Sci. USA 119, 1–10 (2022).
Maxwell, S. L. et al. Area-based conservation in the twenty-first century. Nature 586, 217–227 (2020).
Ives, C. D. et al. Cities are hotspots for threatened species. Glob. Ecol. Biogeogr. 25, 117–126 (2016).
Oke, C. et al. Cities should respond to the biodiversity extinction crisis. npj Urban Sustainability 1, 9–12 (2021).
Villarrubia-Gómez, P., Carney Almroth, B., Eriksen, M., Ryberg, M. & Cornell, S. E. Plastics pollution exacerbates the impacts of all planetary boundaries. One Earth https://doi.org/10.1016/j.oneear.2024.10.017 (2024).
Navarro, J., Hadjikakou, M., Ridoutt, B., Parry, H. & Bryan, B. A. Pesticide toxicity hazard of agriculture: Regional and commodity hotspots in Australia. Environ. Sci. Technol. 55, 1290–1300 (2021).
Jørgensen, P. S. et al. Antibiotic and pesticide susceptibility and the Anthropocene operating space. Nat. Sustain 1, 632–641 (2018).
Fry, J. & Schandl, H. Simulating waste plastic flows in Australia. Resour. Conserv Recycl 209, 107747 (2024).
Li, L., Zuo, J., Du, L. & Chang, R. What influences the on-site recycling behaviour of C&D plastic waste in Australia? An action determination model approach. J. Environ. Manag. 371, 123158 (2024).
Napper, I. E. & Thompson, R. C. Plastics and the Environment. Annu Rev. Environ. Resour. 48, 55–79 (2023).
Herberz, T., Barlow, C. Y. & Finkbeiner, M. Sustainability assessment of a single-use plastics ban. Sustainability (Switzerland) 12, (2020).
March, A., Roberts, K. P. & Fletcher, S. A new treaty process offers hope to end plastic pollution. Nat. Rev. Earth Environ. 3, 726–727 (2022).
Lara-Topete, G. O. et al. Compounding one problem with another? A look at biodegradable microplastics. Sci. Total Environ. 944, 173735 (2024).
Michalos, A. C. & Hatch, P. M. Good Societies, Financial Inequality and Secrecy, and a Good Life: from Aristotle to Piketty. Appl Res Qual. Life 15, 1005–1054 (2020).
Goodwin, K., Wiedmann, T., Chen, G. & Teh, S. H. Benchmarking urban performance against absolute measures of sustainability – A review. J. Clean. Prod. 314, 128020 (2021).
Australian Bureau of Statistics. Housing:Census 2021. https://www.abs.gov.au/statistics/people/housing/housing-census/2021 (2022).
Australian Bureau of Statistics. Census of Population and Housing https://www.abs.gov.au/census (2016).
Workplace Gender Equality Agency. WGEA Data Explorer. https://www.wgea.gov.au/publications/australias-gender-pay-gap-statistics%0A (2024).
Workplace Gender Equality Agency. Employee Gender Pay Gaps Snapshot. (Workplace gender equality agency, 2024) https://www.wgea.gov.au/publications/employer-gender-pay-gaps-snapshot (2024).
Workplace Gender Equality Agency. Employer gender pay gaps report 2023-24. https://www.wgea.gov.au/publications/employer-gender-pay-gaps-report (2025).
World Bank. Voice and Accountability: Estimate 2022. https://data.worldbank.org/indicator/VA.EST?skipRedirection=true&view=map (2024).
Freedom House. Australia. Freedom in the world https://freedomhouse.org/country/australia/freedom-world/2023 (2023).
White, L. V. et al. Geographies of regulatory disparity underlying Australia’s energy transition. Nat. Energy 9, 92–105 (2024).
Wyrwoll, P. R., Manero, A., Taylor, K. S., Rose, E. & Quentin Grafton, R. Measuring the gaps in drinking water quality and policy across regional and remote Australia. NPJ Clean. Water 5, 1–14 (2022).
Foodbank. Foodbank Hunger Report 2023 - Foodbank Reports. https://reports.foodbank.org.au/foodbank-hunger-report-2023/?state=vic (2023).
Kumar, S. & Ray, R. Social and emotional well-being and economic insecurity of Aboriginal and Torres Strait Islanders: A multidimensional approach. J. Int Dev. 36, 1982–2004 (2024).
Holland, C. Close the gap 2018 - a ten-year review: the Closing the Gap strategy and recommendations for reset. https://apo.org.au/node/131816 (2018).
Gray, S. et al. The Northern Territory intervention: An evaluation. https://apo.org.au/node/275851 (2015).
Biddle, N., Gray, M., McAllister, I. & Qvortrup, P. M. Detailed analysis of the 2023 Voice to Parliament Referendum and related social and political attitudes. ANU Centre for Social Research and Methods. https://doi.org/10.26193/13NPGQ (2023).
McAllister, I. & Biddle, N. Safety or change? The 2023 Australian voice referendum. Aust. J. Polit. Sci. 1–20 https://doi.org/10.1080/10361146.2024.2351018 (2024).
Rottemberg, J., Ghasri, M., Grzybowska, H., Dockery, A. M. & Waller, S. T. Inequality and access to services for remote populations: An Australian case study. J. Transp. Geogr. 105, 103447 (2022).
Miller, H. M. et al. Parents’ and carers’ views on factors contributing to the health and wellbeing of urban Aboriginal children. Aust. N. Z. J. Public Health 44, 265–270 (2020).
Roper, L., He, V. Y., Perez-Concha, O. & Guthridge, S. Complex early childhood experiences: Characteristics of Northern Territory children across health, education and child protection data. PLoS One 18, 1–22 (2023).
Dockery, A. M. Housing quality, remoteness and Indigenous children’s outcomes in Australia. Econ. Anal. Policy 73, 228–241 (2022).
Dockery, A. M. & Sykes, E. Remote housing for Indigenous children in the Fitzroy Valley, Western Australia: A case study. Aust. J. Soc. Issues 58, 640–668 (2023).
Peterson, E. W. F. Is economic inequality really a problem? A review of the arguments. Soc. Sci. 6, 147 (2017).
Buttrick, N. R., Heintzelman, S. J. & Oishi, S. Inequality and well-being. Curr. Opin. Psychol. 18, 15–20 (2017).
Hoyer, D. et al. Navigating polycrisis: Long-run socio-cultural factors shape response to changing climate. Philos. Trans. R. Soc. B: Biol. Sci. 378, 20220402 (2023).
Goya-Tocchetto, D. & Payne, B. K. How economic inequality shapes thought and action. J. Consum. Psychol. 32, 146–161 (2022).
Shutters, S. T., Applegate, J. M., Wentz, E. & Batty, M. Urbanization favors high wage earners. npj Urban Sustainability 2, 1–5 (2022).
Arvidsson, M., Lovsjö, N. & Keuschnigg, M. Urban scaling laws arise from within-city inequalities. Nat. Hum. Behav. 7, 365–374 (2023).
Satur, P. & Lindsay, J. Social inequality and water use in Australian cities: the social gradient in domestic water use. Local Environ. 25, 351–364 (2020).
Cook, C., Currier, L. & Glaeser, E. Urban mobility and the experienced isolation of students. Nat. Cities 1, 73–82 (2024).
Climate Council of Australia. Dangerously Overlooked: Why we Need to Talk About Methane. www.climatecouncil.org.au/donate (2024).
Commonwealth of Australia. Australia’s Strategy for Nature 2024-2030. https://www.dcceew.gov.au/environment/biodiversity/conservation/publications/australias-strategy-for-nature (2024).
Trisos, C. H., Merow, C. & Pigot, A. L. The projected timing of abrupt ecological disruption from climate change. Nature 580, 496–501 (2020).
Meadowcroft, J. & Rosenbloom, D. Governing the net-zero transition: Strategy, policy, and politics. Proc. Natl. Acad. Sci. USA 120, 1–11 (2023).
Geels, F. W., Kern, F. & Clark, W. C. Sustainability transitions in consumption-production systems. Proc. Natl. Acad. Sci. USA 120, 1–10 (2023).
Allen, C. & Malekpour, S. Unlocking and accelerating transformations to the SDGs: a review of existing knowledge. Sustain Sci. 18, 1939–1960 (2023).
Allen, C., Biddulph, A., Wiedmann, T., Pedercini, M. & Malekpour, S. Modelling six sustainable development transformations in Australia and their accelerators, impediments, enablers, and interlinkages. Nat. Commun. 15, 1–33 (2024).
Sterner, T. et al. Policy design for the Anthropocene. Nat. Sustain 2, 14–21 (2019).
Hoppe, J., Hinder, B., Rafaty, R., Patt, A. & Grubb, M. Three decades of climate mitigation policy: What has it delivered? Annu Rev. Environ. Resour. 48, 615–650 (2023).
Stechemesser, A. et al. Climate policies that achieved major emission reductions: Global evidence from two decades. Science (1979) 892, 884–892 (2024).
Best, R., Burke, P. J. & Jotzo, F. Carbon pricing efficacy: Cross-country evidence. Environ. Resour. Econ. (Dordr.) 77, 69–94 (2020).
Govind, P. et al. Offsetting. Environ. Humanit 16, 426–432 (2024).
Cotton, R. & Witt, B. Carbon and ecosystem service markets in rangelands and grazing systems are a wicked problem: multi-stakeholder partnership or roundtable as a vehicle forward? Rangel. J. 46, 1–14 (2024).
Frankel, C., Ossandón, J. & Pallesen, T. The organization of markets for collective concerns and their failures*. Econ. Soc. 48, 153–174 (2019).
Daskalakis, G. & Markellos, R. Are the European carbon markets efficient. Rev. Futures Mark. 17, 103–128 (2008).
Nik-Khah, E. & Mirowski, P. On going the market one better: economic market design and the contradictions of building markets for public purposes. Econ. Soc. 48, 268–294 (2019).
Battocletti, V., Enriques, L. & Romano, A. The Voluntary Carbon Market: Market Failures and Policy Implications. SSRN Electr. J. https://doi.org/10.2139/ssrn.4380899 (2023).
Callon, M. Civilizing markets: Carbon trading between in vitro and in vivo experiments. Account., Organ. Soc. 34, 535–548 (2009).
Frame, D. J. The problems of markets: Science, norms and the commodification of carbon. Geogr. J. 177, 138–148 (2011).
Regen Melbourne. Towards a regenerative Melbourne - Embracing Doughnut Economics to create a new compass for Melbourne. https://www.regen.melbourne/news/towardsregenmelbreport (2021).
Regen Sydney. Sketching a Sydney Doughnut. https://static1.squarespace.com/static/60261996c9b3ef613a6f35f8/t/64d61785ace28043cd3ccc1b/1691752421379/Sketching+a+Sydney+Doughnut+report+%28web%29.pdf (2023).
Damian Carrington. World’s top climate scientists expect global heating to blast past 1.5C target. The Guardian https://www.theguardian.com/environment/article/2024/may/08/world-scientists-climate-failure-survey-global-temperature (2024).
Earth, N. R. Chronicling the climate of 2023. Nat. Rev. Earth Environ. 5, 227–228 (2024).
van Daalen, K. R. et al. The 2024 Europe report of the Lancet Countdown on health and climate change: unprecedented warming demands unprecedented action. Lancet Public Health 9, e495-522 (2024).
Taherkhani, M. et al. Sea-level rise exponentially increases coastal flood frequency. Sci. Rep. 10, 1–17 (2020).
Logan, T. M., Anderson, M. J. & Reilly, A. C. Risk of isolation increases the expected burden from sea-level rise. Nat. Clim. Chang 13, 397–402 (2023).
Almar, R. et al. A global analysis of extreme coastal water levels with implications for potential coastal overtopping. Nat. Commun. 12, 1–9 (2021).
Ditlevsen, P. D. & Ditlevsen, S. Warning of a forthcoming collapse of the Atlantic meridional overturning circulation. 1–12 https://doi.org/10.1038/s41467-023-39810-w (2023).
Climate Council. Uninsurable Nation: Australia’s most climate-vulnerable places. https://www.climatecouncil.org.au/wp-content/uploads/2022/05/CC_Report-Uninsurable-Nation_V5-FA_Low_Res_Single.pdf (2022).
Lawrence, M. et al. Global polycrisis: the causal mechanisms of crisis entanglement. Global Sustainability 7, e6 (2024).
Søgaard Jørgensen, P. et al. Evolution of the polycrisis: Anthropocene traps that challenge global sustainability. Philos. Trans. R. Soc. B: Biol. Sci. 379, 20220261 (2024).
McBain, B., Lenzen, M., Wackernagel, M. & Albrecht, G. How long can global ecological overshoot last? Glob. Planet Change 155, 13–19 (2017).
Bendell, J. Deep adaptation: A map for navigating climate tragedy. Inst. Leadersh. Sustainability (IFLAS) 2, 1–16 (2018).
Willcock, S., Cooper, G. S., Addy, J. & Dearing, J. A. Earlier collapse of Anthropocene ecosystems driven by multiple faster and noisier drivers. Nat. Sustain 6, 1331–1342 (2023).
Kronenberg, J. et al. Cities, planetary boundaries, and degrowth. Lancet Planet Health 8, e234–e241 (2024).
Petit-Boix, A. & Leipold, S. Circular economy in cities: Reviewing how environmental research aligns with local practices. J. Clean. Prod. 195, 1270–1281 (2018).
Horn, E. & Proksch, G. Symbiotic and regenerative sustainability frameworks: Moving towards circular city implementation. Front Built Environ. 7, 1–21 (2022).
Pedersen Zari, M., MacKinnon, M., Varshney, K. & Bakshi, N. Regenerative living cities and the urban climate–biodiversity–wellbeing nexus. Nat. Clim. Change 12, 601–604 (2022).
Fischer, J. et al. Mainstreaming regenerative dynamics for sustainability. Nat. Sustain 7, 964–972 (2024).
McCrory, G., Schäpke, N., Holmén, J. & Holmberg, J. Sustainability-oriented labs in real-world contexts: An exploratory review. J. Clean Prod. 277, 123202 (2020).
Bristow, J. et al. The system within: Addressing the inner dimensions of sustainability and systems transformation. https://www.clubofrome.org/wp-content/uploads/2024/05/Earth4All_Deep_Dive_Jamie_Bristow.pdf (2024).
Grenni, S. et al. The inner dimension of sustainability transformation: how sense of place and values can support sustainable place-shaping. Sustain Sci. 15, 411–422 (2020).
Lenzen, M. et al. New multi-regional input–output databases for Australia–enabling timely and flexible regional analysis. Econ. Syst. Res. 29, 275–295 (2017).
Australian Bureau of Statistics. Australian National Accounts: Input-Output Tables (Product Details). ABS Catalogue Number 5209.0 https://www.abs.gov.au/statistics/economy/national-accounts/australian-national-accounts-input-output-tables-product-details/latest-release (2021).
Australian Bureau of Statistics. Australian System of National Accounts: Concepts, Sources and Methods, 2015. ABS Catalogue Number 5216.0 (2016).
Lenzen, M. et al. Implementing the material footprint to measure progress towards Sustainable Development Goals 8 and 12. Nat. Sustain 5, 157–166 (2022).
Lenzen, M. et al. The Global MRIO Lab–charting the world economy. Econ. Syst. Res. 29, 158–186 (2017).
Australian Bureau of Statistics. Household expenditure survey. ABS Catalogue Number 6530.0 https://www.abs.gov.au/ausstats/[email protected]/7d12b0f6763c78caca257061001cc588/fb99980b73e5aa00ca25711600758473!OpenDocument. (2017).
NASA. Ozone Hole Continues Healing in 2024. https://earthobservatory.nasa.gov/images/153523/ozone-hole-continues-healing-in-2024 (2024).
Leontief, W. Input-Output Economics. (Oxford University Press (OUP), 1966).
Leontief, W. W. Quantitative input and output relations in the economic systems of the United States. Rev. Econ. Stat. 18, 105 (1936).
Miller, R. E. & Blair, P. D. Input-output analysis: foundations and extensions. 1, (Cambridge University Press, 2009).
Wiedmann, T. O., Chen, G. & Barrett, J. The concept of city carbon maps: A case study of Melbourne, Australia. J. Ind. Ecol. 20, 676–691 (2016).
O’Neill, D. W., Fanning, A. L., Lamb, W. F. & Steinberger, J. K. A good life for all within planetary boundaries. Nat. Sustain 1, 88–95 (2018).
Lenzen, M. et al. Implementing the material footprint to measure progress towards Sustainable Development Goals 8 and 12. Nat. Sustainability 2021 1–10 https://doi.org/10.1038/s41893-021-00811-6 (2021).
Tang, F. H. M., Malik, A., Li, M., Lenzen, M. & Maggi, F. International demand for food and services drives environmental footprints of pesticide use. Commun. Earth Environ. 3, 272 (2022).
Oita, A. et al. Substantial nitrogen pollution embedded in international trade. Nat. Geosci. 9, 111–115 (2016).
Acknowledgements
This work was financially supported by the Australian Research Council (project number DP190102277). Kylie Goodwin acknowledges the support of an Australian Government Research Training Programme Scholarship, and a top-up scholarship from CSIRO. Many thanks to Tim Liersch DCCEEW for assistance in interpreting and understanding Australian greenhouse gas reporting, Dr. Fiona Tang for permission to use the pesticide data feed, Dr. K. M. Nazmul Islam for permission to use water data feed and Prof. Manfred Lenzen for permission to use the nitrogen data feed and support in using the GLORIA input output tables.Many thanks also to the two reviewers and editor whose helpful and interesting comments have improved the quality of this article.
Author information
Authors and Affiliations
Contributions
K.G. and T.W. conceptualised the article. M.L. curated the Gloria and IElab data. K.G. wrote the main manuscript text, wrote the Australian Greenhouse IELab data feed, undertook the data analysis, and prepared all figures. All authors reviewed the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Goodwin, K., Li, M. & Wiedmann, T. Exploring the safe and just space for urban and regional Australia. npj Urban Sustain 5, 24 (2025). https://doi.org/10.1038/s42949-025-00216-w
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s42949-025-00216-w