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Xuanwei City (formerly known as Xuanwei County) locates in the northeastern of Yunnan Province and is rich in coal, iron, copper and other mines, especially the smoky (bituminous) coal. Unfortunately, the lung cancer morbidity and mortality rates in this region are among China's highest, with a clear upward trend from the mid-1970s to mid-2000s. In 2004-2005, the crude death rate of lung cancer was 91.3 per 100,000 in the whole Xuanwei City, while that for Laibin Town in this city was 241.14 per 100,000. The epidemiologic distribution (clustering patterns by population, time, and space) of lung cancer in Xuanwei has some special features, e.g., high incidence in rural areas, high incidence in females, and an early age peak in lung cancer deaths. The main factor that associates with a high rate of lung cancer incidence was found to be indoor air pollution caused by the indoor burning of smoky coal. To a certain extent, genetic defects are also associated with the high incidence of lung cancer in Xuanwei. Taken together, lung cancer in this smoky coal combustion region is a unique model for environmental factor-related human cancer, and the current studies indicate that abandoning the use of smoky coal is the key to diminish lung cancer morbidity and mortality.

Environmental pollution damages public health and affects economic development. Environmental regulation is the main way for the government to solve environmental pollution. So what type of environmental regulation works better for public health and economic development? Can environmental regulation have an influence on economic development through public health? To solve these problems, this research uses China’s provincial panel data from 2013 to 2017 to divide environmental regulation into command-control policy tools and economic incentive policy tools and uses the mediating effect model to examine the relationship among environmental regulation, public health and economic development. The results show that: (1) There is a positive correlation between economic incentive policy tools and economic development; while no significant relationship between command-control policy tools and economic development is founded; (2) The relationship between command-control policy tools and public health is not significant, while the relationship between economic incentive policy tools and public health is positive; (3) Public health does not play a mediating role between command-control policy tools and economic development but plays a partial mediating role between economic incentive policy tools and economic development. Therefore, the government should strengthen the use of economic incentive policy tools to promote public health and sustainable economic development.

In recent years, the health conditions of the elderly (the middle-aged and the old, which for this study means people over 50 years of age) have deteriorated along with the aggravation of air pollution, which led to the change of medical insurance costs. This phenomenon is particularly prominent in developing countries, such as China. A total of 15,892 research subjects from 56 prefecture-level cities in 23 provinces were collected from the database of China Health and Retirement Longitudinal Survey (CHARLS). We investigated the effects of air pollution, physical health, and medical insurance costs among three mechanisms using logistics and Ordinary Least Squares (OLS) hybrid cross-sectional regression, and we conducted a robust test. Overall, two pollutants, namely, PM10 and NO2, respectively showed an “inverted U-shaped” and “positive U-shaped” influencing path to health. In addition, when we studied the mechanism of air pollution affecting medical insurance costs, we found that air pollution can affect medical insurance costs through affecting self-rated health, and that the impact path is related to different diseases to some extent. At the same time, there was a certain negative correlation between air pollution and medical insurance: The higher the degree of air pollution, the worse the self-rated health, and the fewer opportunities there are to purchase medical insurance. It can be seen that air pollution affects the physical health of middle-aged and elderly people, thus indirectly and negatively affecting the medical insurance cost. Further research also found that the types of air pollutants in southern and northern China showed some differences. Specifically, NO2 and SO2 were the pollutants that harm the health of the elderly in the south and north, respectively.

In response to the increasing aging problem that China is facing, this study aimed to investigate the impact of social health on the mortality risk of the Chinese older adult population. In this paper, we used the data from “The Chinese Longitudinal Health Longevity Survey (CLHLS)-Longitudinal Data (2008–2018)” and applied the Cox proportional hazard model to investigate the effects of three dimensions of social health on the risk of death among older adults in China. The study found that: (1) The three dimensions of social health have a positive effect on the mortality risk of older adults. (2) Among those three dimensions, social activities had the most significant effect on older adults. The effect of social support and social network on the mortality risk of older adults are basically similar. Moreover, social activity, social support, and the social network had no significant effect on the young-old’s mortality risk. (3) In order to address the problem of data censoring, the Cox proportional hazard model can be used, whereas demographic characteristics, health status, and health behavior components are selective to society. This study enriches social health research in China and promotes the development of social health research from theory to practice. Moreover, it has obvious advantages in terms of economics and feasibility for achieving mortality risk reduction through improving the social health of older adults and building a healthy aging society.

Incomplete combustion of coal in homes has been linked with lung cancer in China. We report on a lung cancer case-control study in a rural area of China, where many residents live in underground dwellings and burn coal and unprocessed biomass (crop residues, wood, sticks, and twigs) for heating and cooking. We interviewed 846 patients with lung cancer (626 men, 220 women; aged 30 to 75 years) diagnosed between 1994 and 1998, and 1740 population-based controls. The odds ratio for lung cancer associated with coal use compared with that for biomass in the house of longest residence was 1.29 (95% confidence interval, 1.03 to 1.61), adjusted for smoking and socioeconomic status. The risk for lung cancer increased relative to the percentage of time that coal was used over the past 30 years (P = 0.02). Our findings suggest that coal may contribute to the risk of lung cancer in this rural area of China.

It is vital to concentrate on conserving the ecological environment and promoting production efficiency in the process of planting natural rubber. Agricultural social services (ASSs) play an essential role in helping rubber farmers to achieve green production. Based on the survey data of 552 natural rubber farmers in Hainan Province, this study builds an index system regarding socialized services for rubber production from three factors: technology extension services, financial insurance services, and market information services. This research uses the slack-based measure (SBM) model and the Tobit model to analyze the green production efficiency (GPE) and the influences of rubber production socialized services on the rubber growers’ green production efficiency. Our results revealed that (1) the average green productivity of rubber planting in Hainan is approximately 0.41, which means that there is ample space for improvement; (2) ASSs have a significant positive effect on increasing the green rubber production efficiency; and (3) among ASSs, the technical extension service has the most significant effect on improving the green production efficiency of the growers. To further raise GPE of natural rubber, the socialized service system can be strengthened in terms of technology, capital, and information. ASSs have noticeable potential in improving the efficiency of rubber green production while ensuring economic, social, and ecological sustainability.

Liveability is an indispensable component in future city planning and is practically linked with the health status of individuals and communities. However, there was nor comprehensive and universal district-level framework for assessing liveability due to geospatial and social discrepancies among different countries. In this study, using Hong Kong, a highly dense and international city as an example, the Liveability and Health Index (LHI-HK) consisting of 30 indicators was established, with 21 of them related to education, economy, housing, walkability/transport, environment, and health facilities aspects, while the health conditions of citizens in individual districts were examined by other 9 indicators. Respective scoring allocation was determined by statistical reasoning, and was applied to quantify the connections between liveability and health among the 18 districts of Hong Kong in both 2016 and 2019. Temporal changes of spatial features could be traced by this quantitative framework, and obvious correlations between liveability and health were attained, with R values of 0.496 and 0.518 in 2016 and 2019, and corresponding slopes of 0.80 and 0.88, respectively. Based on the statistical results, it was found that Sai Kung and Kwun Tong are the most and the least liveable district of Hong Kong in 2019. The LHI-HK index was well-validated by renowned AARP liveability index and The California Healthy Places Index (HPI), with R values of 0.90 and 0.70, and the potential uncertainties due to data projection were less than 2.5% for all districts, which implicates its relevancy and appropriateness in conducting similar spatial assessments in international cities. Further, both favorable and unfavorable spatial arrangements of each of the 3 district types in Hong Kong were identified, namely residential, commercial, and industrial districts. This opens new windows in enhancing liveability and health status within communities, with the aim of promoting the sustainability of cities in the long run.

The 17 Sustainable Development Goals of the United Nations propose to “ensure healthy lives and promote well-being for all at all ages”, and to achieve this goal requires that countries strengthen their capacity to manage health risks. As a concept to describe urban construction, advocated by the World Health Organization, healthy cities can effectively solve the contradictions existing along the current urban development path at a macro level. A healthy city is a sustainable city that interacts with its environment, economy, population, services, and space, and realizes the well-being of its population from all perspectives. The construction of a healthy city is an important part of the transformation of Chinese urbanization. This article refers to the index systems of domestic and foreign government agencies, along with a literature research, to construct a healthy city evaluation index that takes into account the five aspects of environment, economy, population, service, and space, and selects Beijing (a policy-oriented city), Shanghai (an economy-oriented city), Nanchang (an industry-oriented city), Guiyang (a tourism-oriented city), Datong (resource-oriented city) as five cities according to type of urban development, using the entire-array-polygon method to analyze the construction level of these cities in terms of environment, economy, population, service, space and overall state of health from 2014 to 2018 based on statistical and land use data. The results of the study found that, in general, the construction of healthy cities in China currently experiences large year-to-year fluctuations and significant differences between cities. The construction and development of healthy cities are also closely related to factors such as urban economic strength, social welfare, and policy support.