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This paper analyses multidimensional inequalities in health care distribution for Henan Province in central China. The paper has two objectives: (1) examining the multi-scale health care inequality in Henan from two dimensions, urban-rural and core-periphery and (2) revealing the spatial effects of China's multiple transitions, provincial development strategies, and local economic development on health care distribution. The authors used geographic information systems-based spatial statistical methods to detect the spatial-temporal variation of health care distribution, and applied geographically weighted regression to reveal the effects of multiple transitions on the health care sector. The results illustrate that urban-rural and core-periphery gaps in Henan are still significant even though health care reforms and recent provincial policies have improved the access of rural and peripheral areas to health care. Health care inequality is sensitive to geographical scale and clustering, and spatial patterns of health care are shaped by the interwoven forces at national, provincial, and local scales. [ABSTRACT FROM AUTHOR]

Two catastrophic extreme precipitation events in July 2021 and August 1975 caused tremendous damages and deaths in Henan, one of the most populated provinces in China. Revealing the relationship between large‐scale circulation patterns and precipitation extremes is vital for understanding the physical mechanisms and providing potential value for improving prediction and hence reducing impacts. Here, nine large‐scale circulation patterns are identified for July–August using the self‐organizing map. We find daily precipitation extremes under the fifth pattern (P5), characterized with the strongest easterly wind anomalies in Henan, feature the highest frequency and the largest intensity. Seven out of total 11 days in the two catastrophic extreme precipitation events belong to P5, and the top two maximum hourly precipitation extremes over continental China occurred under P5. The larger intensity of precipitation extremes is attributed to the dynamical contribution, suggesting more‐intense precipitation extremes under P5 are largely dominated by stronger ascending motions. Plain Language Summary: Henan is one of the most populated provinces in China. Two catastrophic extreme precipitation events in July 2021 and August 1975 caused devastating catastrophes, such as flooding and urban waterlogging, which resulted in widespread impacts on agricultural production, human livelihood, and economic development. We used a clustering method called self‐organizing map to link large‐scale circulation patterns with daily precipitation extremes in Henan Province. Our results show that the fifth pattern (P5), associated with the strongest easterly wind anomalies over Henan Province, is most conducive to extreme rainfall. Precipitation extremes under P5 exhibit the highest occurrence frequency and the largest mean intensity. Seven out of total 11 days for the two catastrophic extreme precipitation events belong to P5, while the top two maximum hourly precipitation extremes over continental China occurred under P5. The larger mean intensity of precipitation extremes under P5 is mainly caused by strong ascending motions. This work provides important implications for understanding the physical mechanisms and also providing potential value for the forecasting of precipitation extremes in Henan Province. Key Points: The circulation pattern (P5) most conducive to the occurrence of daily precipitation extremes is identified using self‐organizing mapSeven out of total 11 days in the "21·7" and "75·8" catastrophic extreme precipitation events belong to P5 patternThe dynamical processes, that is, the stronger ascending motions, dominate the more‐intense precipitation extremes in P5 pattern [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]