China is currently facing the arduous tasks of energy conservation, emission reduction and structural transformation, making it of great significance to study the digital transformation of heavily polluting enterprises. As an important informal regulatory system, public environmental concerns affect corporate environmental behavior by increasing external environmental pressure. This study uses the data of listed companies in China’s heavily polluting industries from 2012 to 2020 and Baidu Index data to analyze how public environmental concerns affect the digital transformation of heavily polluting enterprises. This study finds that public environmental concerns can significantly promote the digital transformation of heavily polluting enterprises. For non-state-owned, green image and high-tech enterprises, the impact is even more obvious. Furthermore, based on the structural and hierarchical perspective of enterprise digital transformation, we find that public environmental concerns significantly promote digital technology application. This study puts forward some suggestions for government departments to formulate environmental protection regulations, enterprises to fulfill their green responsibilities and the public to participate in environmental governance.

This study used micro data from the Chinese General Social Survey (CGSS) in 2018 to explore the impact of China’s residential clean energy consumption on residents’ subjective well-being. Our research results show that: the more clean energy consumption is present in housing, the stronger the residents’ sense of happiness; furthermore, it can be seen from the results of marginal effects that the increase in residential clean energy consumption increases the probability of residents choosing “relatively happy” and “extremely happy”. Moreover, the heterogeneity analysis found that the increase in residential clean energy consumption increased the happiness of people with housing and low education, and also increased the happiness of residents in central China and middle-aged and elderly residents; the intermediary analysis shows that the use of clean energy in housing improves the health of residents, and improves their quality of life while increasing their expenditure. In addition, central heating affects the relationship between residential clean energy consumption and residents’ well-being. Further analysis shows that there is no non-linear relationship between the increase in residential clean energy consumption and residents’ happiness. This study enriches the research on residential clean energy and provides policy suggestions for improving residents’ living standards and welfare.

Improving migrants’ settlement intention is of great importance in the process of China’s new urbanization. By exploiting the data from the China Migrants Dynamic Survey conducted by the National Health and Family Planning Commission of China, this study empirically explores the effects of urban health care on migrants’ settlement intentions. Urban health care is measured by the establishment of migrants’ health records in this article. Additionally, marginal effect analysis, propensity score matching, the random sampling method, the placebo test, and the two-stage least squares method are adopted to tackle potential selection bias and endogeneity concerns. As indicated by the empirical results, urban health care could significantly improve the migrants’ settlement intention. After controlling for the influence of individual characteristics, household characteristics, and migration characteristics, urban health care still plays a significant role in promoting settlement intention. As revealed by the heterogeneity analysis, urban healthcare effects are significantly larger for migrants with agricultural hukou registration, a spouse, younger age, higher income level, and moving into the first and second-tier cities. Meanwhile, considering the impact of housing pressure on migrants’ settlement intentions, this study uses household housing expenditure as a moderator to further analyze the relationship between urban health care and settlement intention. It is found that housing pressure can weaken the positive effect of urban health care on migrants’ settlement intention. The research conclusions contribute to a comprehensive understanding of the migrants’ settlement decisions and provide rich implications for city managers and policymakers.

In this study, we explore the evolution and formation mechanism of urban housing investment resilience from three perspectives: theoretical analysis, model construction, and empirical testing. Based on the three-element theory of investment decision making and urban resilience system theory, a theoretical framework of urban housing investment resilience is constructed. Spatiotemporal analysis and qualitative comparison methods are used to divide 35 large and medium-sized cities into two categories, first-tier and non-first-tier cities, and their spatiotemporal characteristics and differences in terms of formation mechanism differences then explored. The results show that (1) the overall housing investment resilience of the 35 investigated cities is low, with the characteristics of periodic evolution, and there are obvious differences between the first-tier and non-first-tier cities as well as unbalanced development problems. (2) The three internal investment decision factors of returns, costs, and expectations and the five external support factors of economic growth, infrastructure development, labor market, policy regulation, and monetary policy do not, by themselves, constitute the necessary conditions for high levels of urban housing investment resilience, and there are three paths for the development of high levels of housing investment resilience in both first-tier and non-first-tier cities. (3) The twos types of cities have the same conformational path of "return- and cost-driven" but different dedicated conformational paths, including "cost-driven", "expectation- driven", and "return- and expectation-driven", and the core conditions in their driving paths are different, with real estate policy being the core condition in the path of first-tier cities and infrastructure development and labor markets being the core conditions in the path of non-first-tier cities. (4) There is a potential substitution relationship between the three configuration paths of first-tier and non-first-tier cities, and the substitution relationship between the two types of cities is also different. The findings of this study reveal that the complex interaction between the urban resilience system, represented by infrastructure construction, and multiple factors, including the three elements of investment, can have an impact on the resilience of real estate investment.