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The mitigation of carbon dioxide (CO2) generated from household consumption, accounting for 52% of China's total greenhouse gas emissions, plays a pivotal role in China's pursuit of reaching a carbon peak by 2030. The study used three waves of nationally representative longitudinal data, energy statistics data, and input–output table to estimate household CO2 emissions (HCEs) in China at the micro-scale. The dynamic relationship between household consumption pattern transition and HCEs per capita was explored by applying maximum likelihood and structural equation modeling (ML-SEM) with panel data. The results indicate that per capita HCE level in a given year appears to be positively associated with HCE level for the same household in the previous year. A U-shaped relationship between consumption pattern transition and HCEs per capita was confirmed, as well as the reinforcement effect of income on the impacts of consumption pattern transition. The increase in consumption propensity, household income, share of wage-income, household asset values, and house space results in higher HCEs per capita. The family size and dependency ratio have a negative relationship with HCEs, whereas households that are female-oriented and more Internet-dependent tend to produce more CO2. Exploring the consumption transition of households is crucial for reducing CO2 emissions at the household level in China. [ABSTRACT FROM AUTHOR]

Identifying the level of household resource efficiency and its determinants is paramount, given its significant implications for resource governance and national-scale domestic resource planning. This study assesses household resource efficiency in China from 2016 to 2020, employing a super-SBM model alongside three waves of nationally representative longitudinal data. The investigation further delves into the intricate dynamics connecting household income, consumption propensity, and resource efficiency, utilizing maximum likelihood and structural equation modeling (ML-SEM) with dynamic panel data. Findings reveal an overall decrease in household resource efficiency levels, accompanied by diminished variation among surveyed households. Notably, a noteworthy non-monotonic relationship between household income and resource efficiency emerges, confirming a U-shaped pattern. Additionally, consumption propensity exhibits a negative influence, a trend that is further accentuated by increasing income, on household resource efficiency. These insights shed light on the complex interplay between household income, consumption, and resource efficiency, advocating for targeted policies to enhance resource management within households and on a national scale. • A measurement of household resource efficiency with light data requirement was proposed. • A dynamic panel model with three waves longitudinal survey data was applied. • The household resource efficiency has concentrated at a lower level. • The household resource efficiency is strongly persistent year over year. • A U-shaped relationship between household income and resource efficiency was confirmed. [ABSTRACT FROM AUTHOR]