Despite a decrease in the prevalence of low birth weight (LBW) over time, its ongoing significance as a public health concern in Bangladesh remains evident. Low birth weight is believed to be a contributing factor to infant mortality, prolonged health complications, and vulnerability to non-communicable diseases. This study utilizes nationally representative data from the Multiple Indicator Cluster Surveys (MICS) conducted in 2012-2013 and 2019 to explore factors associated with birth weight. Modeling birth weight data considers interactions among factors, clustering in data, and spatial correlation. District-level maps are generated to identify high-risk areas for LBW. The average birth weight has shown a modest increase, rising from 2.93 kg in 2012-2013 to 2.96 kg in 2019. The study employs a regression tree, a popular machine learning algorithm, to discern essential interactions among potential determinants of birth weight. Findings from various models, including fixed effect, mixed effect, and spatial dependence models, highlight the significance of factors such as maternal age, household head\'s education, antenatal care, and few data-driven interactions influencing birth weight. District-specific maps reveal lower average birth weights in the southwestern region and selected northern districts, persisting across the two survey periods. Accounting for hierarchical structure and spatial autocorrelation improves model performance, particularly when fitting the most recent round of survey data. The study aims to inform policy formulation and targeted interventions at the district level by utilizing a machine learning technique and regression models to identify vulnerable groups of children requiring heightened attention.

The 2030 Agenda has among its key objectives the poverty eradication through increasing the level of education. A good level of education and investment in culture of a country is in fact necessary to guarantee a sustainable economy, in which coexists satisfactory levels of quality of life and an equitable distribution of income. There is a lack of studies in particular on the relations between some significant dimensions, such as education, culture and poverty, considering time lags for the measurement of impacts. Therefore, this study aims to fill this gap by focusing on the relationship between education, culture and poverty based on a panel of data from 34 European countries, over a 5-year period, 2015-2019. For this purpose, after applying principal component analysis to avoid multicollinearity problems, the authors applied three different approaches: pooled-ordinary least squares model, fixed effect model and random effect model. Fixed-effects estimator was selected as the optimal and most appropriate model. The results highlight that increasing education and culture levels in these countries reduce poverty. This opens space to new research paths and policy strategies that can start from this connection to implement concrete actions aimed at widening and improving educational and cultural offer.

Several heat records have been broken in recent years and decades. Extreme high temperature not only damages human health, but also increases the risk of wildfires. As a common urban infrastructure, urban green space has been proved to have a cooling effect. In this study, the physical indicators and temperature data of 36 green spaces in Xi\'an were collected, and the influence of different physical indicators of green spaces on their thermal environment was explored through correlation analysis. The results suggest that the area of green space should be between 0.6-0.7 square kilometers or the perimeter should range from 4000 to 4500 m in order to obtain the lowest internal temperature. When the area of water body in the green space is between 0.3-0.4 square kilometers or the perimeter is about 5000 m, its internal temperature is the lowest. Indicators of green space in the conclusion can be directly understood and referred by urban planners and policy makers. Results of this study thus have implications for improving urban thermal comfort by controlling the physical indicators of green space.

The prevalent air pollution along the Yangtze River Economic Belt (YREB) possesses a significant threat to the natural environment, which further affects nearby tourism destination development. The paper seeks to assess the impact of air pollution on tourism in this region through a 2002-2012 panel data of 31 prefecture-level cities, along with geographic information system (GIS) and cluster analyses. The results reveal that air pollution is negatively associated with the number of inbound tourists along the YREB. In general, when air pollution intensifies by 1%, the number of inbound tourists decreases by 1.171%. This impact is more evident when air pollution is more severe, in the long term, and in areas that are larger, more central, and with more tourism resources. The paper contributes to the literature by addressing common limitations in previous studies and providing a more comprehensive evaluation of air pollution\'s impact on inbound tourism in the YREB. Practical implications regarding public policies and development directions based on air pollution periods, regions, and tourism resource allocations are provided.

Water pollution not only aggravates the deterioration of the ecological environment and endanger human health, but also has a significantly negative impact on economic growth and social development. It is crucial to investigate the relationship between industrial wastewater governance and industrial wastewater pollution on the path to reduce water pollution. In this paper, we studied whether industrial wastewater governance affected industrial wastewater pollution using the panel fixed effect model and system generalized moment estimation model (SYS-GMM) with the panel data of 30 provinces from 2005 to 2020 in China. This is the only empirical analysis of the relationship between industrial wastewater governance and industrial wastewater pollution. We proxied industrial wastewater pollution by organic pollutants and inorganic pollutants and measured the per capita investment in industrial wastewater governance. The results shed light on the positive correlation between the per capita investment in industrial wastewater governance and industrial wastewater pollution. The increase in per capita investment in industrial wastewater governance promoted the increase of pollutant emissions from industrial wastewater. The estimation also indicated that there was an inverted U-shaped relationship between per capita GDP and inorganic /organic pollutants in industrial wastewater. Our empirical research shows that it is necessary to increase investment in industrial wastewater treatment and optimize the investment structure of environmental treatment, so as to pave the way for the comprehensive utilization of a variety of environmental treatment solutions.

The thermal power industry takes the important social responsibility of energy conservation and environmental protection. The carbon emissions made by the thermal power industry are affected by the industrial structure. In this paper, the carbon emission of thermal power generation is divided into three links: energy combustion, desulfurization process, and power transportation. The total carbon emission of thermal power in 11 provinces in western China from 2000 to 2017 is calculated. Combined with industrial reform, this paper constructs a panel data fixed effect model to systematically analyze the interactive response relationship between thermal power carbon emission and industrial structure in the western region. The research shows that due to the continuous expansion of hydropower, wind power, and other new energy power generation scale and the improvement of energy efficiency in the western region, the growth trend of thermal power carbon emission has slowed down since 2010. The industrial development pattern is the main driving force of regional economic development, and the secondary industry in the western region is the main driving factor of thermal power carbon emission. High quality economic development in the western region can be promoted through technological upgrading, new energy development, and industrial multi-mode operation.

Flypaper Effect is a public finance term that indicates a government grant given to recipient cities increases the local community spending level more than an increase in local income of equivalent size. This paper analyzed the Flypaper Effect Assessment Method in the Expansion of Regional Autonomy. It employed 210 New Autonomous Regions (NARs) in Indonesia during 1999-2021 as a case study, where Indonesia became the country with the highest number of new autonomies in the world. Panel Data Regression was utilized to determine the Flypaper Effect. Flypaper Effect analysis was carried out using the BLUE model selection method. The selected models in this study were Pooled Least Square (PLS), Fixed Effect Model (FEM), and Random Effect Model (REM). Several tests, such as Chow Test, Lagrange Multiplier Test, and Hausman Test, were conducted. Furthermore, the procedures to get the data in BLUE were carried out, such as Heteroscedasticity and Autocorrelation Test. Koenker-Bassett test was used for ascertaining Heterocedascity.•Panel Data Regression is used as a method to determine the Flypaper Effect in the autonomous region.•Each stage in this method is discussed with a calculation/process example.•The method utilized in this paper is recommended to determine the Flypaper Effect of New Autonomous Regions (NARs) for various parties.

There is significant interest among policymakers and academics about whether or not green credit, which is a market-oriented environmental policy tool, has achieved its intended effect in improving the environment in China. This paper addresses this question from both theoretical and empirical perspectives. Using panel data from 30 provincial administrative regions of China from 2007 to 2016, we apply the fixed effect model and the gray correlation analysis method to examine the influence and its mechanism of green credit on China\'s environmental quality. The results show that green credit does improve China\'s environmental quality overall. Green credit can reduce environmental pollution through three mechanisms: improving enterprise performance, motivating enterprise innovation, and upgrading industrial structure. However, there are regional differences in the emission-reduction effect of green credit. Green credit improves the environmental quality in resource-based regions more than non-resource-based regions; the emission-reduction effect is significant in regions with developed financial markets, but not significant elsewhere. The results indicate that green credit policies should be regionally differentiated to more effectively achieve emission-reduction targets.

UNASSIGNED: With population aging (PA), the healthcare expenditure (HE) increases. The aim of this study is to analyze the HE of different age groups and the effect of age on HE among different age groups.
UNASSIGNED: Combining PA and HE data, this study used the fixed effect model and parameter estimation method to evaluate the influence of different age groups on HE from 2008 to 2014.
UNASSIGNED: The age effect of HE for the population aged 65 or over was the most significant among the different age groups. Based on PA and HE data, HE per capita of the age group 65 years or over is 7.25 times as much as the population aged < 25 years, 1.61 times as much as the population aged 25~59 years, and 3.47 times as much as the population aged 60~64 years. Based on the result of the fixed effect model, HE per capita of the age group <25 years was 218.39 Yuan (CNY) (USD $31.2). HE per capita of the age group 25~59 years old increased to 1,548.62 Yuan (CNY) (USD $221.2). HE per capita of the 60~64 years age group will be 921.56 Yuan (CNY) (USD $131.7), 4.22 times as much as that of the age group < 25 years. HE per capita in the age group of 65 years or over is 2,538.88 Yuan (CNY) (USD $362.7), 11.63 times as much as that of the age group <25 years.
UNASSIGNED: The results suggest that PA in China is intensifying. In order to control the rising of HE, the government should not only address the supply side such as reforming medical insurance payment, developing new technologies, but also focusing on solving the demand side such as improving the quality of healthcare services, solving environmental pollution, and improving the residents\' health.

BACKGROUND: Antimicrobial resistance (AMR), especially carbapenem-resistant Pseudomonas aeruginosa (CRPA), causes a serious increase in morbidity, mortality and costs. Medical professionals play an important role in curbing AMR. Previous studies overlooked the impact of workload on the relationship between medical professionals and AMR. This study aimed to explore the relationship between medical professionals and the CRPA rate as well as the moderating effect of medical professionals\' workload on this relationship.
METHODS: A provincial-level panel dataset from 2014 to 2017 was constructed. Medical professionals were measured by the numbers of physicians, registered nurses, pharmacists, and clinical microbiologists per 1000 population. Workload was measured by the number of daily physician visits. Fixed effect model and hierarchical regression analysis were performed to explore the moderating effect of workload on medical professionals and the CRPA rate.
RESULTS: The numbers of physicians, registered nurses, pharmacists and clinical technicians were significantly negative associated with the CRPA rate (coef. = - 0.889, - 0.775, - 1.176, and - 0.822; P = 0.003, 0.003, 0.011, and 0.007, respectively). Workload had a significant and positive moderating effect on physicians, registered nurses, pharmacists, clinical technicians and the CRPA rate (coef. = 1.270, 1.400, 2.210, and 1.634; P = 0.004, 0.001, 0.035, and 0.003, respectively).
CONCLUSIONS: Increasing the number of medical professionals may help curb the CRPA rate. Measures aimed at reducing medical professionals\' workload should be implemented to further improve CRPA performance.