As a new type of economic format, digital economy has three major characteristics: technical, innovative, energy-saving and environmentally friendly. Acting on various sectors of the national economy, it is beneficial for improving carbon emission efficiency and is of great significance for achieving China\'s two major goals of carbon peak and carbon neutrality. Firstly, theoretical analysis of the impact mechanism of digital economy on carbon emission efficiency, proposing research hypotheses on the direct effect, mediating effect, and spatial effect of digital economy on carbon emission efficiency. Secondly, based on panel data from 279 cities in China from 2011 to 2020, the econometric models are constructed to empirically analyze the direct, mediating, and spatial effects of digital economy on carbon emission efficiency. The results show that: 1) Digital economy can improve carbon emission efficiency; 2) The impact of digital economy on carbon emission efficiency has a \"U\"-shaped relationship, which is consistent with the \"Environmental Kuznets Curve\" hypothesis; 3) The impacts of digital economy on carbon emission efficiency exist in urban heterogeneity, specifically manifested as regional heterogeneity and urban scale heterogeneity; 4) Technological innovation is an important mediator for improving carbon emission efficiency in digital economy, and promoting technological innovation in digital economy can improve carbon emission efficiency; 5) Digital economy has spatial effect on carbon emission efficiency, which can improve the carbon emission efficiency of neighboring cities. Finally, based on the above results, suggestions are proposed from three aspects: promoting important industries and key areas for deep cultivation of carbon emission in digital economy, emphasizing regional balance in the development of digital economy, and strengthening regional cooperation in the development of digital economy, in order to continue to play a positive role in improving carbon emission efficiency through digital economy.

UNASSIGNED: China is a large agricultural nation with the majority of the population residing in rural areas. The allocation of health resources in rural areas significantly affects the basic rights to life and health for rural residents. Despite the progress made by the Chinese government in improving rural healthcare, there is still room for improvement. This study aims to assess the spatial spillover effects of rural health resource allocation efficiency in China, particularly focusing on township health centers (THCs), and examine the factors influencing this efficiency to provide recommendations to optimize the allocation of health resources in rural China.
UNASSIGNED: This study analyzed health resource allocation efficiency in Chinese rural areas from 2012 to 2021 by using the super-efficiency SBM model and the global Malmquist model. Additionally, the spatial auto-correlation of THC health resource allocation efficiency was verified through Moran test, and three spatial econometric models were constructed to further analyze the factors influencing efficiency.
UNASSIGNED: The key findings are: firstly, the average efficiency of health resource allocation in THCs was 0.676, suggesting a generally inefficient allocation of health resources over the decade. Secondly, the average Malmquist productivity index of THCs was 0.968, indicating a downward trend in efficiency with both non-scale and non-technical efficient features. Thirdly, Moran\'s Index analysis revealed that efficiency has a significant spatial auto-correlation and most provinces\' values are located in the spatial agglomeration quadrant. Fourthly, the SDM model identified several factors that impact THC health resource allocation efficiency to varying degrees, including the efficiency of total health resource allocation, population density, PGDP, urban unemployment rate, per capita disposable income, per capita healthcare expenditure ratio, public health budget, and passenger traffic volume.
UNASSIGNED: To enhance the efficiency of THC healthcare resource allocation in China, the government should not only manage the investment of health resources to align with the actual demand for health services but also make use of the spatial spillover effect of efficiency. This involves focusing on factors such as total healthcare resource allocation efficiency, population density, etc. to effectively enhance the efficiency of health resource allocation and ensure the health of rural residents.

Drawing upon data from the 2018 CHARLS, this paper utilizes MEPI and a 10% threshold indicator to, respectively, assess the energy poverty (EP) status among middle-aged and older adults in China, focusing on the unavailability and unaffordability of energy services. Additionally, an econometric model is constructed to investigate the effects of EP on the health and welfare of middle-aged and older adults. Regression results indicate that EP exerts a significant negative impact on the health and welfare of middle-aged and older adults. This conclusion remains robust after conducting endogeneity and robustness tests, demonstrating its validity. Finally, based on the calculation results, we propose relevant policy recommendations including enhancing energy services for older adults in rural areas, integrating household energy alternatives with targeted poverty alleviation, enhancing monitoring mechanisms, and conducting energy education activities to alleviate EP and improve the quality of life of middle-aged and older adults.

Research on small and medium-sized enterprises (SMEs) access to bank finance is vital for the euro area economy. SMEs heavily represent the European business sector, employing around 100 million people and accounting for more than half of the Gross Domestic Product. Research studies in the field often rely on the ECB/EC Survey on the Access to Finance of Enterprises (SAFE). Many studies employ probit or logit models with categorical dependent variables derived from SAFE. The research findings show that hardly any study employs the simpler linear probability model (LPM), with a dominant lack of research providing evidence that justifies the model selection process and suitability. However, it is well known that different econometrics models can lack consistency and frequently yield different results. Yet, the literature has no consensus on the best econometric approach. In addition, there is a lack of robustness tests in the literature to ensure model validity, underlining the need for a comprehensive review of the methodological framework that dominates SAFE data use. This paper addresses the identified research gap by introducing a robust methodological framework that helps researchers identify and choose an appropriate categorical model when using SAFE data. The study adds significant value to the extant literature by identifying four criteria that need to be considered when selecting the appropriate model among three common binary dependent models: LPM, probit and logit models. The findings show that the probit model was appropriate is all cases but that the LPM should not be disregarded, as it can be used in two cases: when considering the interaction between monetary policy and debt to assets and monetary policy and innovation. The use of the LPM is justified as a less complex econometric model, allowing for clearer communication of the results. This innovative, robust approach to choosing the appropriate econometric categorical dependent model when employing SAFE data contributes to support policy effectively.

UNASSIGNED: This study assessed the budget impact of resmetirom as a treatment for adults with non-cirrhotic non-alcoholic steatohepatitis (NASH) with moderate-to-advanced liver fibrosis and estimated total costs for a hypothetical private payer in the United States.
UNASSIGNED: A three-year budget impact analysis based on an open cohort state transition model was developed for a hypothetical one-million-member private health plan. The comparator was Standard of Care (SOC), defined as routine care for non-cirrhotic NASH patients with moderate-to-advanced liver fibrosis. Each year, the number of resmetirom treatment-eligible patients was estimated through prevalent, incident, and diagnostic rate estimates. Costs included resources incurred by the medical and pharmacy benefits of private payers, including resmetirom drug acquisition costs, diagnosis and monitoring, other medical and other prescription costs stratified by disease progression status (i.e. non-cirrhotic vs. cirrhotic/advanced liver diseases). Resmetirom adverse event management costs were included in sensitivity analysis. Drug costs were estimated based on the average wholesale acquisition cost as of March 2024. Other costs were based on published sources and inflated to 2023 US dollars. Budget impact outcomes were presented in aggregate, net, and on a per-member per-month (PMPM) basis.
UNASSIGNED: Compared with a scenario without resmetirom, the introduction of resmetirom yielded results ranging from 50 to 238 treated patients, net budget impact of $2.2 to $9.5 million, and PMPM from $0.19 to $0.80 over years one and three. Net costs excluding resmetirom declined over time. In sensitivity analyses, results were most sensitive to diagnostic and epidemiologic inputs.
UNASSIGNED: Market shares are based on internal forecasts, a short time horizon, average treatment effects, and other limitations common to BIMs.
UNASSIGNED: The adoption of resmetirom on the formulary for the treatment of non-cirrhotic NASH with moderate-to-advanced liver fibrosis resulted in a moderate increase in budget impact with declining costs related to NASH progression.
Non-alcoholic steatohepatitis (NASH) is a serious liver disease that can lead to significant liver damage, other health complications, and increased healthcare costs. As the disease progresses, patients typically experience worsening health outcomes. Until recently, there were no Food and Drug Administration (FDA) approved treatments for NASH in the United States. However, in March 2024, the FDA approved REZDIFFRA, a new drug specifically designed to treat NASH patients with moderate-to-advanced liver fibrosis (i.e. NASH with moderate-to-advanced scarring of the liver). Clinical trials have shown that REZDIFFRA can improve health outcomes in these patients.To identify patients who could benefit from REZDIFFRA and to estimate the associated costs, we developed a budget impact model. In this study, we detail the development of this model and present its findings. Our analysis revealed that, while REZDIFFRA is associated with higher overall costs, primarily due to the price of the drug itself, there are potential cost savings when considering the drug’s ability to slow disease progression.

The global population influx during the COVID-19 pandemic poses significant challenges to public health, making the prevention and control of infectious diseases a pressing concern. This paper aims to examine the impact of population influx on the spread of infectious diseases, with a specific emphasis on the mediating role of air pollution in this process. A theoretical analysis is conducted to explore the relationship between population influx, air pollution, and infectious diseases. Additionally, we establish a series of econometric models and employ various empirical tests and analytical techniques, including mediation effect test, threshold effect test, and systematic GMM test, to evaluate our hypotheses. The results indicate that: (1) Population influx directly and indirectly impacts infectious diseases. Specifically, population influx not only directly elevates the risk of infectious diseases, but also indirectly increases the incidence rate of infectious diseases by intensifying air pollution. (2) The impact of population inflow on infectious diseases exhibits regional heterogeneity. Compared to central and western China, the eastern regions exhibit a significantly higher risk of infectious diseases, exceeding the national average. (3) External factors influence the relationship between population influx and infectious diseases differently. Personal income and medical resources both help mitigate the risk of infectious diseases due to population influx, with medical resources having a more substantial effect. Contrary to expectations, abundant educational resources have not reduced the risk, instead, they have exacerbated the risk associated with population influx. This paper provides a scientific basis for formulating effective strategies for the prevention and control of infectious diseases.

Despite the abundance of research on reducing carbon emissions, there is a significant gap in understanding the influence of macroeconomic factors on carbon dioxide (CO2) emissions from a spatial-structural perspective. This study aims to contribute to the literature by investigating the impact of macroeconomic factors on carbon dioxide emissions in six East African countries between 1989 and 2020. Using spatial econometric panel models, the study analyzed spatial dependence among the variables. The empirical findings indicate that gross domestic product (GDP) per capita and electricity consumption have positive direct and indirect effects on carbon emissions, while fuel prices and exports have negative direct effects, but positive spillover effects on neighboring countries. Imports have a positive impact on local economies, but negative spillover effects. Additionally, the urban population has no significant impact on the environment. These findings provide important policy implications for optimizing spatial growth patterns and achieving a low-carbon economy in East African countries.

UNASSIGNED: This study investigates the Health-Led Growth Hypothesis (HLGH) within OECD countries, examining how health expenditures influence economic growth and the role of different health financing systems in this relationship.
UNASSIGNED: Utilizing a comprehensive analysis spanning 2000 to 2019 across 38 OECD countries, advanced econometric methodologies were employed. Both second-generation panel data estimators (Dynamic CCEMG, CS-ARDL, AMG) and first-generation models (Panel ARDL with PMG, FMOLS, DOLS) were utilized to test the hypothesis.
UNASSIGNED: The findings confirm the positive impact of health expenditures on economic growth, supporting the HLGH. Significant disparities were observed in the ability of health expenditures to stimulate economic growth across different health financing systems, including the Bismarck, Beveridge, Private Health Insurance, and System in Transition models.
UNASSIGNED: This study enriches the ongoing academic dialog by providing an exhaustive analysis of the relationship between health expenditures and economic growth. It offers valuable insights for policymakers on how to optimize health investments to enhance economic development, considering the varying effects of different health financing frameworks.

UNASSIGNED: To evaluate the cost-effectiveness of budesonide/formoterol reliever and maintenance therapy compared with salmeterol/fluticasone plus salbutamol as reliever therapy for asthma patients ≥12 years from the societal perspective in China.
UNASSIGNED: A Markov model was developed with three health states (non-exacerbation, exacerbation, and death) with a lifetime horizon. The exacerbation rates were obtained from a prospective cohort study conducted in Chinese asthma patients. Healthcare resources utilization data were estimated based on current clinical asthma management guidelines. Asthma-related mortality, cost input and utility values were derived from public database and literature. Model robustness was assessed with one-way sensitivity and probabilistic sensitivity analyses.
UNASSIGNED: Compared with salmeterol/fluticasone plus salbutamol, budesonide/formoterol reliever and maintenance therapy led to fewer exacerbation events (13.6 vs. 15.9) and 0.0077 quality-adjusted life years (QALY) gain at an additional cost of ¥196.38 over lifetime. The base case incremental cost-effectiveness ratio (ICER) was ¥25,409.98 per QALY gained. The variables that had most impact on the model output included drug costs and medication adherence. At a willingness-to-pay threshold of ¥257,094/QALY (3 times of gross domestic product per capita in China in 2022), the probability of budesonide/formoterol maintenance and reliever therapy being cost-effective versus salmeterol/fluticasone plus as-needed salbutamol was 83.00%.
UNASSIGNED: From the societal perspective, budesonide/formoterol reliever and maintenance therapy is likely to be a cost-effective option compared with salmeterol/fluticasone plus as-needed salbutamol for Chinese asthma patients ≥12 years.

UNASSIGNED: Infections are responsible for ∼13% of cancer cases worldwide, with human papillomavirus (HPV) and hepatitis B (HBV) among the infections associated with cancer for which vaccines are available. The aim of this study was to estimate the indirect cost of premature mortality related to cancers caused by HPV and HBV in Middle East and North Africa (MENA) countries.
UNASSIGNED: The number of deaths and years of life lost (YLL) in 2019 from four HPV-related cancers: cervical cancer, oral cavity cancer, laryngeal cancer, and oropharynx cancer, as well as HBV-related liver cancer were sourced from the Institute for Health Metrics Evaluation (IHME) Global Burden of Disease database. HPV-attributable fractions were applied to deaths and YLL. The human capital approach was used to measure productivity loss, through value of YLL (VYLL), and estimated using gross domestic product per capita (World Bank; in USD). Seventeen countries in the MENA region were included. Four countries in the region were not included due to data availability.
UNASSIGNED: In 2019, there were 11,645 potentially vaccine-preventable cancer-related deaths across the MENA region. This resulted in an indirect cost of $1,688,821,605, with 76.1% of this accrued in the Middle East ($1,284,923,633). The number of deaths in the Middle East (5,986) were similar to Northern Africa (5,659) but YLL were higher in Northern Africa (179,425) compared to the Middle East (169,207). The highest indirect cost per death occurred in Qatar ($1,378,991), compared to $14,962 in Sudan. Oral cavity cancer had the highest VYLL per death ($186,084).
UNASSIGNED: There is a high burden of premature mortality and indirect costs of potentially vaccine-preventable cancer-related deaths in the MENA region. Improved vaccination program implementation, increased vaccine coverage of HPV and HBV vaccinations, and continued prioritization of public health measures, such as screening, could effectively reduce premature mortality and associated costs.