Government environmental information disclosure is an important means to promote environmental supervision and law enforcement, and improve the level of environmental management. In order to explore the impact of government environmental information disclosure on the sustainability of urban economic growth, this paper uses the Pollution Information Transparency Index (PITI) to measure the degree of government environmental information disclosure, studies its effect on green total factor productivity through two-way fixed effect model and systematic GMM estimation method, and further adopts threshold model to study whether there is heterogeneity in this effect. The results show that: (1) Each unit of government environmental information disclosure will increase green total factor productivity by 0.2 units. (2) Considering the endogeneity, the promotion of government environmental information disclosure to green total factor productivity has increased. (3) The degree of government environmental information disclosure plays a non-linear role in the path of green total factor productivity. The greater the degree of economic development, the more obvious the effect of government environmental information disclosure on green total factor productivity. Therefore, this paper believes that the government should strengthen the disclosure of environmental information based on the urban economic development to ensure the sustainability of urban economic development.

Against the backdrop of population aging and rising demand for disability-related care, long-term care insurance (LTCI) not only shares household care risks but may also reshape urban economic structure by expanding formal care services. This study examines whether China’s LTCI pilots promote urban industrial structure upgrading and explores the associated transmission channels. Treating the staggered rollout of China’s LTCI pilots as a quasi-natural experiment, we match the 2014-2020 China Family Panel Studies with city-level macroeconomic data and estimate a multiperiod difference-in-differences model with individual- and city-level controls, individual and year fixed effects, and city-clustered standard errors. We further apply the Callaway-Sant’Anna estimator to account for staggered adoption and heterogeneous treatment effects. The preferred specification yields an LTCI coefficient of 0.1860, equivalent to approximately 11.3% of the sample mean of the industrial structure upgrading index. The Callaway-Sant’Anna overall average treatment effect on the treated is 0.1974, confirming the baseline finding. The effect is stronger in cities with greater government intervention, in eastern China, and in cities with more developed financial systems. Mechanism analysis indicates that LTCI increases household members’ employment probability and improves household financial product allocation. These findings suggest that LTCI can promote health and eldercare services and related modern service industries through formal care expansion, released household labor supply, and improved household capital allocation, indicating that the effects of LTCI extend beyond household welfare and healthcare to urban industrial transformation.