In order to study the relationship between China\'s safety production indicators and economic and social indicators, the development trend of indicator data in the past 20 years was statistically analyzed, and qualitative and quantitative research was conducted using grey relational analysis and multiple linear regression analysis methods. In the past two decades, there has been a significant improvement in the number of deaths, work-related injuries, and occupational patients in China\'s safety production, and the country\'s three categories of 14 economic and social indicators have achieved rapid development. Using the grey relation analysis method, the grey correlation degree between the number of deaths, work-related injuries, and occupational patients in China over the past twenty years and 14 economic and social indicators was obtained. The ranking of economic and social indicators that affect the number of deaths, work-related injuries, and occupational patients varies greatly. A multiple linear regression model was established for the number of deaths, work-related injuries, occupational diseases, and 14 economic and social indicators. The rationality of the model was verified from four aspects: R2, F-value, P-value, and deviation between actual and fitted values. Provide guidance for the development of safety production indicators and economic and social indicators in China through research.

Regional population mortality correlates with regional socioeconomic development. This study aimed to identify the key socioeconomic factors influencing mortality patterns in Chinese provinces. Using data from the Seventh Population Census, we analyzed mortality patterns by gender and urban‒rural division in 31 provinces. Using a functional regression model, we assessed the influence of fourteen indicators on mortality patterns. Main findings: (1) China shows notable gender and urban‒rural mortality variations across age groups. Males generally have higher mortality than females, and rural areas experience elevated mortality rates compared to urban areas. Mortality in individuals younger than 40 years is influenced mainly by urban‒rural factors, with gender becoming more noticeable in the 40-84 age group. (2) The substantial marginal impact of socioeconomic factors on mortality patterns generally becomes evident after the age of 45, with less pronounced differences in their impact on early-life mortality patterns. (3) Various factors have age-specific impacts on mortality. Education has a negative effect on mortality in individuals aged 0-29, extending to those aged 30-59 and diminishing in older age groups. Urbanization positively influences the probability of death in individuals aged 45-54 years, while the impact of traffic accidents increases with age. Among elderly people, the effect of socioeconomic variables is smaller, highlighting the intricate and heterogeneous nature of these influences and acknowledging certain limitations.

BACKGROUND: From year to year, the proportion of people living with overweight and obesity in China rises, along with the prevalence of diseases linked to obesity. Although bariatric surgery is gaining popularity, there are still several issues with its promotion compared to Western nations. Since less developed places in China are more widespread due to disparities in the development of different regions, there has been little exploration of the factors that might be related to acceptance of bariatric surgery in these regions.
METHODS: Patients who visited the Department of Gastrointestinal Surgery at the North Sichuan Medical College Affiliated Hospital from 2018 to 2022 and had obesity or other relevant metabolic problems were surveyed using a questionnaire. The relationship between demographic factors, socioeconomic status, and acceptance of bariatric surgery was analyzed.
RESULTS: Of 334 patients, 171 had bariatric surgery. BMI, education level, marriage history, medical insurance, family support, and a history of type 2 diabetes were all linked to having bariatric surgery, according to a univariate analysis. In a multivariate analysis, BMI (P = 0.02), education (P = 0.02), family support (P<0.001), medical insurance coverage (P<0.001), and history of type 2 diabetes (P = 0.004) were all positively associated with a willingness to have bariatric surgery. Among 163 non-bariatric patients with obesity, 15.3% were not opposed to surgery but preferred trying medication first, 54.6% leaned towards medical therapy, and 30% were hesitant. Additionally, a majority of patients (48.55%) often lacked adequate knowledge about weight reduction therapy. Age, height, gender, smoking, drinking, family history of type 2 diabetes, education, and marital status did not significantly differ (P > 0.05).
CONCLUSIONS: Many patients are concerned about the safety of surgical treatment and the possibility of regaining weight. Due to the relatively high cost of bariatric surgery, they tend to choose medical treatment. To enhance the acceptance of bariatric surgery in underdeveloped regions of China, it is crucial to focus on disseminating knowledge about bariatric surgery, offer pertinent health education to the community, and foster support from patients\' families. The government should pay more attention to obesity and provide support in the form of medical insurance.

BACKGROUND: Large-scale outbreaks of scrub typhus combined with its emergence in new areas as a vector-borne rickettsiosis highlight the ongoing neglect of this disease. This study aims to explore the long-term changes and regional leading factors of scrub typhus in China, with the goal of providing valuable insights for disease prevention and control.
METHODS: This study utilized a Bayesian space-time hierarchical model (BSTHM) to examine the spatiotemporal heterogeneity of scrub typhus and analyze the relationship between environmental factors and scrub typhus in southern and northern China from 2006 to 2018. Additionally, a GeoDetector model was employed to assess the predominant influences of geographical and socioeconomic factors in both regions.
RESULTS: Scrub typhus exhibits a seasonal pattern, typically occurring during the summer and autumn months (June to November), with a peak in October. Geographically, the high-risk regions, or hot spots, are concentrated in the south, while the low-risk regions, or cold spots, are located in the north. Moreover, the distribution of scrub typhus is influenced by environment and socio-economic factors. In the north and south, the dominant factors are the monthly normalized vegetation index (NDVI) and temperature. An increase in NDVI per interquartile range (IQR) leads to a 7.580% decrease in scrub typhus risk in northern China, and a 19.180% increase in the southern. Similarly, of 1 IQR increase in temperature reduces the risk of scrub typhus by 10.720% in the north but increases it by 15.800% in the south. In terms of geographical and socio-economic factors, illiteracy rate and altitude are the key determinants in the respective areas, with q-values of 0.844 and 0.882.
CONCLUSIONS: These results indicated that appropriate climate, environment, and social conditions would increase the risk of scrub typhus. This study provided helpful suggestions and a basis for reasonably allocating resources and controlling the occurrence of scrub typhus.

Rural tourism spurs economic growth and jobs but harms the Environment due to energy demands. The study accounts for energy use, globalization, and economic growth to assess and mitigate rural tourism\'s environmental impact. For data covering 2001Q1 to 2019Q4, GMM approaches are utilized to analyze the environmental implications of rural tourist enterprises. The findings suggest that rural tourism-related catering services increased substantial and positive overall environmental quality, except N2O. However, food and beverage services negatively influence greenhouse gas emissions and only PM2.5 in air pollution. Sightseeing hurts greenhouse gas emissions while having a positive impact on air pollution. Furthermore, traveling has a considerable negative influence on CO emissions in air pollutants. Energy use only has a substantial influence on CO2 and CO, but GDP has a negative impact on N2O emissions. Globalization has a negative impact on CO2 and air pollutants other than PM2.5. Catering services associated with rural tourism positively affect overall environmental quality, excluding N2O emissions. Rural tourism\'s food and beverage services harm greenhouse gas emissions (including CO2) and air pollution (particularly PM2.5). Traveling has a significant negative impact on CO emissions, but sightseeing has a dual impact, both negative on greenhouse gas emissions and positive influence on air pollution. Furthermore, shopping and leisure have little impact on overall environmental quality in China. The crucial efforts\' policy ramifications are addressed as well.

The objective of this study was to examine the influence of household socio-economic factors on maternal mortality and under-five survival in Nigeria. Consequently, data from 2005 to 2021 were collected from the World Development Indicators, and fully modified least squares and canonical cointegrating regression were utilised to implement the study. The results showed that for every 100,000 live births, at least 1097 mothers die in Nigeria. GDP per capita showed a positive but insignificant impact on maternal mortality, while adjusted net national income had a significant negative relationship with maternal mortality. Broad money supply reduced under-five survival in Nigeria, while social inclusion causes a reduction in under-5 mortality with 32 deaths per 1,000 live births in Nigeria. Hence, to reduce the high rate of maternal mortality in Nigeria, policy and programmes that will be socially inclusive for women and children should be implemented in the country.
L\'objectif de cette étude était d\'examiner l\'influence des facteurs socio-économiques des ménages sur la mortalité maternelle et la survie des moins de cinq ans au Nigeria. Par conséquent, les données de 2005 à 2021 ont été collectées à partir des indicateurs de développement dans le monde, et les moindres carrés entièrement modifiés et la régression canonique de cointégration ont été utilisés pour mettre en oeuvre l\'étude. Les résultats ont montré que pour 100 000 naissances vivantes, au moins 1 097 mères meurent au Nigeria. Le PIB par habitant a montré un impact positif mais insignifiant sur la mortalité maternelle, tandis que le revenu national net ajusté avait une relation négative significative avec la mortalité maternelle. Une masse monétaire importante a réduit la survie des moins de cinq ans au Nigeria, tandis que l\'inclusion sociale entraîne une réduction de la mortalité des moins de cinq ans avec 32 décès pour 1 000 naissances vivantes au Nigeria. Par conséquent, pour réduire le taux élevé de mortalité maternelle au Nigeria, des politiques et des programmes socialement inclusifs pour les femmes et les enfants doivent être mis en oeuvre dans le pays.

暂无摘要。

In recent years, China has achieved numerous economic miracles but it has also been plagued by severe air pollution. The frequent hazy weather has severely restricted China\'s sustainable development. To investigate the nonlinear threshold effect of socio-economic factors on urban haze in China, this study constructs a spatial econometric Smooth Transition Autoregressive Regression (STAR) model based on the STIRPAT theory by using the remote sensing inversion PM2.5 data of 223 prefecture-level and above cities in China mainland during 2004-2016. In this study, the ARAR-STAR model is estimated by quasi-maximum likelihood estimation, and the accuracy of parameter estimation is verified by Monte Carlo simulation, which proves that the ARAR-STAR model constructed in this study is robust. It is concluded that: there is a complex spatial nonlinear relationship between socio-economic factors such as economic development level, population density, advanced industrial structure, energy consumption, opening-up, and haze pollution. The effect of socio-economic factors on haze emission reduction under the spatial influence has complex heterogeneity with the smooth transition between high and low regimes with economic development. The ARAR-STAR model constructed in this paper, which has both individual fixed effects and time fixed effects, expands the form of existing spatial panel nonlinear models and enriches and implements the application of spatial panel smooth transfer threshold models in the environmental field. Not only can it provide policy recommendations for China to achieve \"coordinated efficiency in pollution reduction and carbon reduction\" as soon as possible, but it also contributes to China\'s plan to address global climate change and promote global sustainable development.

The purpose of this research is to determine the impact of innovation, economic growth, financial development, trade, foreign direct investment (FDI), electricity consumption, and urbanization on the environmental degradations in Pakistan. This study has employed the dynamic autoregressive distributed lag model (ARDL), to investigate the actual change in the independent variables and its impact on the dependent variable through graphs. The findings demonstrate that energy consumption, GDP growth, urbanization, and trade negatively influence the carbon emissions in the short term. On the other hand, the findings indicate that in the long term, only GDP growth and trade had a significantly negative impact on emissions. Urbanization has a positive and considerable impact on the emissions of carbon dioxide in the long run. On the other hand, financial development and foreign direct investment (FDI) help reduce the environmental degradation in the short term and long term. Moreover, innovation positively affects the carbon emissions in both the long and short run. Policy recommendations are given based on the findings of this study.

Divisional water quality management (DWQM) is widely adopted in watershed pollution control. During 2011-2015, China zoned 708 priority controlled areas (PCAs) and 774 non-priority controlled areas (NPCAs) for key watersheds. DWQM at watershed level provides guidance on pollution source control (PSC) at local (provincial, city, and county) level. To identify the consistency between DWQM and PSC, a total of 29,688 enterprise-level data from China was analyzed with the difference-in-difference model. The economic factors that affect both are adopted to identify the causes of the disparities between them. The results show that PCAs were more effective than NPCAs and non-controlled areas (NCAs) in reducing COD emissions, thus better achieving divisional water quality goals. NPCAs were no more effective in reducing COD emissions than NCAs. Local government administration and potential subsidies are key to COD emission reductions, but they do not encourage technological progress. Lesser COD emission reductions were achieved in China\'s national key ecological function zones (NKEFZs) and upstream areas than in other areas. Current DWQM potentially aimed at relatively short-term economic benefits, which led to inconsistency with PSC particularly in NPCAs. To improve the coordination between them, ecological integrity should be the focus. Market-based watershed funding mechanism, especially watershed ecological compensation, transforms the short-term economic welfare from pollution control into long-term watershed ecological benefits.