Rapid economic growth and urbanization have contributed to increasing concerns around sustainable development in China. Although urban sustainable development is often comprised of environmental, economic, social and governance aspects, most empirical studies on the public perception of sustainability have exclusively focused on the environmental aspect. Using extensive survey data from three representative cities in Henan Province, China, this study is a first endeavor to examine how perceptions of urban sustainability performance and concerns vary by demographic and socio‐economic status of local residents. This study documents that familiarity with sustainable development concepts is positively associated with education, income, party affiliation and personal health of individuals, while negatively correlated with age. In addition, this study has shown that the most severe threats to sustainability as perceived by citizens are air pollution, corruption, income and education inequality, and excessive industrial production. At the same time, economic indicators such as unemployment, poverty and consumerism are considered lesser threats than social inequality or environmental pollution. Furthermore, residents generally view the sustainable development performance of their cities as mediocre. While generally younger residents and residents with higher levels of education tend to be more critical and long‐term residents tend to be more forgiving, results frequently show that concerns and attitudes towards sustainable development by various socio‐demographic groups differ from city to city. This is strong evidence to support independent local policies tailored to the socio‐demographics of each individual city.

The distribution of German household environmental footprints (EnvFs) across income groups is analyzed by using EXIOBASE v3.6 and the consumer expenditure survey of 2013. Expenditure underreporting is corrected by using a novel method, where the expenditures are modeled as truncated normal distribution. The focus lies on carbon (CF) and material (MF) footprints, which for average German households are 9.1 ± 0.4 metric tons CO2e and 10.9 ± 0.6 metric tons material per capita. Although the lowest‐income group has the lowest share of transportation in EnvFs, at 10.4% (CF) and 3.9% (MF), it has the highest share of electricity and utilities in EnvFs, at 39.4% (CF) and 16.7% (MF). In contrast, the highest‐income group has the highest share of transportation in EnvFs, at 20.3% (CF) and 12.4% (MF). The highest‐income group has a higher share of emissions produced overseas (38.6% vs. 34.3%) and imported resource use (69.9% vs. 66.4%) compared to the average households. When substituting 50% of imported goods with domestic ones in a counterfactual scenario, this group only decreases its CF by 2.8% and MF by 5.3%. Although incomes in Germany are distributed more equally (Gini index 0.28), the German household CF is distributed less equally (0.16). A uniform carbon tax across all sectors would be regressive (Suits index −0.13). Hence, a revenue recycling scheme is necessary to alleviate the burden on low‐income households. The overall carbon intensity shows an inverted‐U trend due to the increasing consumption of carbon‐intensive heating for lower‐income groups, indicating a possible rebound effect for these groups. This article met the requirements for a gold – gold JIE data openness badge described at http://jie.click/badges.

SummaryGiven the high potential shown by the recent developments in environmentally extended and multiregional input-output (I-O) analysis, a natural step would be to extend this theoretical framework beyond the environmental dimension to include the social dimension, in line with parallel advancements in social life cycle assessment. The ideal results would be a multiregional I-O database to investigate not only environmental footprints, but also social footprints. Qualitative and subjective characteristics of social issues, complex impact pathways, and data scarcity challenge the extension of the I-O framework to social impacts. These challenges are addressed in this study where the Exiobase database was extended with new data on five quantitative indicators available from the International Labor Organization: employment; working hours; salary; occupational accident cases; and unemployment. This required modeling steps, such as the disaggregation of data from sector to product group level, and filling the data gaps for missing countries by primary data collection or interpolation. A characterization step where indicator values are converted into social impacts on human productivity and human well-being measured in quality-adjusted life years was then performed. The results show an appreciable match between the databases, with justifiable interpolations for missing countries. The study demonstrates how to obtain an open and quantitative I-O database extended with indicators on labor-related impacts and discusses approaches to overcome the challenges of this process.

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For the European Union to realise its ambition of carbon neutrality, emissions from basic material production need to be reduced through low-carbon production processes, material efficiency and substitution, as well as enhanced recycling. Different reform options for the EU ETS are discussed that ensure a consistent carbon price incentive for all these mitigation options, while avoiding the risk of carbon leakage. This paper offers a first quantification of potential carbon leakage risks, distributional implications and additional revenues associated with different mechanisms: an importonly border carbon adjustment (BCA), a symmetric BCA, and an excise for embodied carbon emissions at a fixed benchmark level in combination with continued free allocation. We estimate the product-level carbon intensities for about 4,400 commodity groups, including basic materials, material products, and manufactured goods and compute implied price changes and cost increases relative to gross value added to assess the scale of carbon leakage risks.