Per-capita GDP Research Articles

How Avoidable Mortality is influenced by health expenditure: an Italian 14-year panel data analysis

Abstract Background Avoidable Mortality is a widely used public health indicator to assess the quality of healthcare systems. The aim of this study was to investigate how the allocation of private and public health expenditure (PHE) could influence avoidable mortality (AM), treatable mortality (TM) and preventable mortality (PM) of Italian citizens. Methods A pooled cross-sectional time series study was conducted. Italian healthcare data from 2009 to 2019 was extracted from ‘Health for All’, a WHO-related database released periodically by the Italian National Institute of Statistics. PHE was divided by providers area (directly provided services (DPS), general and specialist medicine, pharmaceutical, rehabilitation). Data about private health expenditure, gross domestic product per capita (GDPPC), level of education, medical drug consumption per capita (MDCPC), general practitioners per capita (GPPC), physical exercise, tobacco use, and obesity were collected. AM was divided into TM and PM using OECD/Eurostat lists of causes of death (2022). A fixed-effects regression was used to assess the effects of economic and social variables on AM, TM and PM. Results Higher spending on DPS (-0.027), higher MDCPC (-0.859) and higher GDPPC (-0.001) were associated with lower rates of AM. Higher sport activity (c -0.673) was associated with lower rates of TM. Higher levels of private health expenditure (0.022) and higher number of GPPC (0.023) were associated with higher rates of PM; these counterintuitive results could be caused by the inappropriateness of medical treatment directly requested by patients. Other variables were not significantly associated with AM, TM or PM. Conclusions The results highlight the importance of medical DPS by NHS (emergency departments, hospital care, specialized care, primary care, etc.). Analyzing health data divided by areas of NHS we could help policy makers to allocate human and economic resources more efficiently. Key messages • The allocation of public health resources could influence the health status of the polulazion. • Italian National Health System could reduce avoidable mortality through the use of directly provided services.

Urbanization as a catalyst for structural transformation in developing countries: The mediating impact of foreign direct investment

This article analyzes the link between urbanization and the process of structural transformation (ST) in developing countries, taking into account the mediating role that FDI can play. We use secondary data from 2000 to 2023 to determine if FDI positively or negatively influences the ST process in these countries, thereby, altering urbanization patterns. By estimating the Generalized Method of Moments (GMM), the study explores the relationship between urbanization, the ST process, and the mediating role played by FDI. In addition, it takes into account control variables such as gross fixed capital formation (GFCF), gross domestic product per capita (GDPPC), and diversification of production structure (DPS) to analyze their effect on urbanization and, more specifically, on the ST process. The econometric results showed a negative correlation between FDI flows and urbanization, demonstrating that FDI could hinder the success of the ST process in developing countries. On the contrary, econometric results showed that the control variables, GFCF, GDPPC, and DPS, positively influence urbanization in developing countries, indicating that these variables are more conducive to a successful ST process than FDI. Based on the econometric results, policymakers in developing countries are called upon to strengthen urbanization in these countries, by encouraging local investment and the diversification and sophistication of production and export structures, rather than relying solely on FDI. Over the period studied, FDI has not contributed as expected to advancing the urbanization process, a crucial element in the ST process in developing countries.

Regional per capita income inequality and fiscal policy in Mexico, 1989–2021

AbstractIn this paper, we use trends in GDP gaps per capita or relative GDP per capita indicator as an aggregate alternative measure to show regional per capita income inequality between the states of Mexico. The indicator compares each state's gross domestic product per capita (GDPpc) with the annual average of each year and 2019; this allows for evaluating growth performance before and after the COVID-19 pandemic. The econometric method is a spatial dynamic panel, and the convergence–divergence model is conditioned to the behavior of the fiscal policy followed in each state: The fiscal policy indicators are current expenditure and public investment. In general, it is concluded that the amounts of current spending and public investment, in an active fiscal policy context, tend to favor states with higher relative per capita income, which is why an increase in regional inequality is observed. However, it tends to affect low-income regions more, with higher ratios of current spending and investment to GDP, which reduces regional inequality. Therefore, the short-term effects of active fiscal policy to reduce regional disparities can be neutralized.

A concise review towards a novel target specific multi-source unsupervised transfer learning technique for GDP estimation using CO2 emission data

Though economic growths of most of the nations have seen exponential rise due to industrialization, it has also caused proportional increase in their carbon emissions. This paper exploits this proportionate relationship of carbon emission with GDP to predict the per-capita GDP of those nations whose GDP values are missing in the world bank database. The reason behind the same was, those countries were either war-torn or politically isolated/unstable. To achieve the objective of predicting the missing GDP values of those countries from their carbon emissions, this paper exploits the non-linear relationship among the carbon emissions from solid fuels, liquid fuels, and gaseous fuels. It is so because even the differential utilization of these fuels impact economy differently. Use of traditional solid fuel for cooking points toward energy poverty, and access to clean cooking gas indicates higher living standard. However, the available data from the war-torn or isolated countries are very little, and hence insufficient for building a robust predictive machine learning model. So, this paper employs multi-source unsupervised transfer learning to precisely estimate the missing per-capita GDP of those nations. It suitably enlarges the training domains for the prediction models to be more robust. We empirically evaluate the proposed methodology for different regression techniques to estimate the missing GDP values of eleven different nations belonging to diverse strata of economies viz. developed economies, developing, and/or least developing economies. Proposed methodology profoundly improves the prediction preciseness of these regression techniques in estimating the missing per-capita GDP of the considered nations.

Disparities in esophageal cancer care: a population-based study

BackgroundVulnerable populations potentially have a worse prognosis for cancer. The present study aimed to identify individual and municipal characteristics of access to health, including education, use of health insurance, gross domestic product per capita (GDPpc), and urban aspects, which could impact the prognosis of patients with esophageal cancer. MethodsData on urban concentration, administrative hierarchy, GDPpc, individual patient characteristics, and access to healthcare were collected from national and state public databases spanning between 2013 and 2022. The study included cities in the state of Sao Paulo, Brazil. Independent variables such as GDPpc, urban concentration, municipal administrative hierarchy, health insurance status, education level, and individual cancer and patient characteristics were evaluated against the outcomes of overall survival (OS), likelihood of undergoing surgical treatment, and time-to-treatment initiation. ResultsA total of 9280 patients with esophageal cancer (85% squamous cell carcinoma and 15% adenocarcinoma) treated in 42 cities were included in the study. In univariate analysis, higher education (hazard ratio [HR] = 0.6; P < .001), female gender (HR = 0.85; P < .001), and having private health insurance (HR = 0.65; P < .001) were identified as protective factors for OS in esophageal cancer. After adjusting for other variables in multivariate analysis, higher education (HR = 0.77; P = .009), female gender (HR = 0.82; P < .001), and private insurance (HR = 0.65; P < .001) remained protective factors. GDPpc was not associated with OS. Urban concentration and hierarchy influenced the likelihood of receiving surgical treatment. Patients from high urban concentrations had shorter time-to-treatment initiation intervals. ConclusionPopulations at risk, particularly those with limited access to education and healthcare, face a worse prognosis for esophageal cancer.

Cost-utility and budget impact analysis of neoadjuvant dual HER2 targeted therapy for HER2-positive breast cancer in Sri Lanka

This study aimed to assess the cost-utility and budget impact of dual to single HER2 targeted neoadjuvant therapy for HER2-positive breast cancer in Sri Lanka. A five-health state Markov model with lifetime horizon was used to assess the cost-utility of neoadjuvant trastuzumab (T) plus pertuzumab (P) or lapatinib (L) compared to single therapy of T with chemotherapy (C), in public healthcare system and societal perspectives. Input parameters were estimated using local data, network meta-analysis, published reports and literature. Costs were adjusted to year 2021 (1USD = LKR194.78). Five-year budget impact for public healthcare system was assessed. Incremental cost-effectiveness ratios in societal perspective for neoadjuvantLTC plus adjuvantT (strategy 3), neoadjuvantPTC plus adjuvantT (strategy 2), neoadjuvantLTC plus adjuvantLT (strategy 5), and neoadjuvantPTC plus adjuvantPT (strategy 4) compared to neoadjuvantTC plus adjuvantT (strategy 1) were USD2716, USD5600, USD6878, and USD12127 per QALY gained, respectively. One GDP per-capita (USD3815) was considered as the cost-effectiveness threshold for the analysis. Even though only the ICER for strategy 3 was cost-effective, uncertainty of efficacy parameter was revealed. For strategy 2 neoadjuvant PTC plus adjuvant T, a 25% reduction of neoadjuvant regimen cost was required to be cost effective for use in early HER2 positive breast cancer.

The care cascade of chronic obstructive pulmonary disease in China: a cross-sectional study of individual-level data at enrolment into the national ‘Happy Breathing’ Programme

Understanding the chronic obstructive pulmonary disease (COPD) care cascade is crucial for identifying where and when to intervene to improve COPD outcomes. We aimed to determine the proportion of patients with COPD seeking care in China's health system who are lost at each stage of the COPD care cascade and how the patterns of loss vary across geographical regions and population groups. From November 3, 2018, to April 22, 2021, we used individual-level patient data from the national Chinese 'Happy Breathing' Programme, which aims to identify patients with COPD and provide appropriate care. COPD was defined as a post-bronchodilator ratio of forced expiratory volume in 1s to forced vital capacity (FEV1/FVC)<0.70. We calculated the proportions of individuals who, at enrolment into the 'Happy Breathing' Programme, (i) had ever undergone a pulmonary function test, (ii) had been diagnosed with COPD in the past, (iii) were currently on treatment for COPD, and (iv) had achieved control of their COPD. We examined the association between reaching each stage of the care cascade and individual patient characteristics as well as regional-level economic development and available resources in the health system using multilevel regression. Among the 29,201 patients with COPD in the 'Happy Breathing' Programme, 41.0% (95% confidence interval [CI]: 40.4-41.6%) had ever been tested for COPD, 17.6% (95% CI: 17.1-18.0%) had previously been diagnosed with COPD, 8.5% (95% CI: 8.2-8.8%) were currently on treatment for COPD, 4.6% (95% CI: 4.3-4.8%) of patients had mild or no exacerbations in the prior year, and 3.9% (95% CI: 3.7-4.2%) of patients had suffered no exacerbations in the prior year. On average, patients living in the cities of Beijing, Wuhan, and Yinchuan had progressed further along the COPD care cascade than patients living in Daqing and Luoyang. Using multilevel regression, we found that young age, rural residence, and low regional per-capita GDP were significantly associated with larger losses at each stage of the COPD care cascade. Substantial proportions of patients with COPD are lost at each stage of the COPD care cascade in the Chinese health system. The largest losses occur during the initial stages of the cascade, when diagnosis first occurs. New policies and interventions are required to boost COPD care, especially screening and diagnosis, in the Chinese health system to reduce this large disease burden. This work was supported by Major Programme of National Natural Science Foundation of China (82090011), CAMS Innovation Fund for Medical Sciences (CIFMS) (2021-I2M-1-049), and Horizon Europe (HORIZON-MSCA-2021-SE-01; project number 101086139-PoPMeD-SuSDeV). TB was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt professorship award.

A multifaceted ecological approach to explore links between environmental factors and the epidemiology of disorders of gut-brain interaction.

Disorders of gut-brain interaction (DGBI) are characterized by debilitating symptoms not explained by structural or biochemical abnormalities. While functional conditions present with complex, likely heterogeneous pathophysiology, we aimed to investigate if proxy measures of sociocultural and environmental factors are associated with the prevalence of various DGBI in populations across the world. We performed an ecological study utilizing peer-reviewed published datasets reporting for 26 countries prevalence rates of DGBI (Rome Foundation Global Epidemiology Study, RFGES), with six independent variables: Helicobacter pylori prevalence and household size as proxy measures for orofecal infections, gross domestic product per capita (GDP), and median age as a proxy measures for socioeconomic development, density of fast food outlets (FFO) per 100,000 population as proxy measure for processed food exposure, and suicide mortality rate per 100,000 people, and world happiness scores were used as a proxy for psychological stress. The data were retrieved from publicly accessible datasets (United Nations, CIA World Factbook, World Bank, World Happiness Report, commercial/financial reports of a global FFO chain). We used linear regression to assess variables in univariate and multivariate analysis and report standardized β coefficients with 95% confidence intervals (CI). The regression model revealed that the overall prevalence of DGBI was inversely associated with both GDP per capita (β = -0.57, 95% CI: -0.92, -0.22, p = 0.002) and happiness scores (β = -0.433 95% CI: 0.821, -0.065, p = 0.023), while being positively associated with H. pylori prevalence (β = 0.40, 95% CI: 0.008, 0.81, p = 0.046). The prevalence of functional constipation (FC) was also inversely associated with GDP per capita (β = -0.50, 95% CI: -0.86, -0.13, p = 0.01) and happiness scores (β = -0.497, 95% CI: -0.863, -0.132, p = 0.01), while being positively associated with H. pylori prevalence (β = 0.53, 95% CI: 0.16, 0.91, p = 0.007). The Multivariate model analysis revealed that combining the factors of H. pylori prevalence, suicide rate, household size and happiness scores showed statistically significant association with FC (p = 0.039). Household size (β = -0.43, 95% CI: -0.82, 0.038, p = 0.033) and suicide rates (β = 0.55, 95% CI: 0.19, 0.90, p = 0.004) were statistically significantly associated with functional diarrhea. Irritable bowel syndrome (IBS) was associated with GDP per capita (β = -0.40, 95% CI: -0.79, -0.014, p = 0.043) and happiness scores (β = -0.390, 95% CI: -0.778, -0.003, p = 0.049). Utilizing publicly available data, the prevalence of DGBI across diverse countries is linked to various socio-cultural and environmental factors. Collectively, the data suggests that the prevalence of DGBI is increased in less prosperous regions of the world.

Is ‘Common Prosperity’ Badly Needed in Mainland China? Evidence on the Variance Convergence of Per-Capita GDP among 31 Cities and Provinces

ABSTRACT This research paper examines the necessity of implementing “common prosperity” in mainland China, as emphasized by Xi Jinping during the 20th Congress of CCP on October 16, 2022. The issue of provincial income divergence remains a challenge to China’s sustainable growth. The new concept of “common prosperity” stresses the requirement of reducing income inequality for the balance of growth and stability in the next development phase of China. This study analyzes regional income inequality and convergence using the club convergence approach. This method offers more precise indications of economic symmetry than traditional unit root tests, enabling clearer policy implications. The empirical analysis reveals that while full cross-provincial variance convergence is unsustainable, the 31 cities and provinces can be grouped based on club variance convergence of the per capita GDP. The past and current public policies could have an impact on the imbalanced convergence, such as “the richer got more” from the fiscal transfers, the hukou system, and the educational and tax justice among cities and provinces.

Regional disparities in the European Union. A machine learning approach

We investigate the hypothesis of regional convergence in the per-capita GDP in 242 European regions (NUTS2) during the 2000–2021 period. The literature shows mixed results, from absolute convergence towards a joint long-run distribution to multiple regimes (convergence club). Our results show a broad convergence to an unimodal distribution. Although the GDP distribution was characterized by a twin-peak property in 2000, it tends to disappear over time, bringing, in 2021, to an unimodal distribution. Physical and human capital is the most responsible for the convergence process and the EU cohesion funds. To empirically investigate the question, we first apply alternative techniques of cluster identification. Later, we assess whether clusters and covariates affect the per-capita GDP. We use a novel machine learning algorithm (GPBoost) instead of the more traditional techniques used in the current literature. The results show that a convergence process is at work; physical and human capital are mainly responsible for the gdp explanation. but eu funds play a relevant role as well. moreover, complementarities do exist among these variables.

Economic Development and Adolescent Wellbeing in 139 Countries

There is a positive association between the level of economic development and national levels of overall life satisfaction (OLS) in the adult population, with decreasing marginal returns. However, research shows no association in early adolescence and a negative association in middle adolescence. We hypothesize that this is due to the exclusion of low-income countries, where adolescent wellbeing is rarely collected. 2015–2019 Gallup World Poll data from 139 countries in middle adolescence (age 15–17; n 36,907) were analysed using linear regression to study the association between country levels of economic development and OLS, positive emotions (PE), and negative emotions (NE), and how this varies across economic development levels, and gender. Variations across economic development levels were compared with those observed in the adult population. Log per-capita GDP is positively associated with OLS and PE, although in high-income countries no association is observed for PE, and among females for OLS. For NE, a negative association is observed in lower-income countries and a positive association in higher-income countries. In this age group (age 15–17), the log per-capita GDP – OLS association is stronger in lower-income countries than in higher-income countries, but this pattern reverses with age in adulthood. A nuanced relationship exists between economic development and adolescent wellbeing, which varies across measures, levels of economic development, gender, and age -including notable differences compared to adults. Our study highlights the need for improving child and adolescent wellbeing data worldwide, especially in lower-income countries, to better understand how best to support wellbeing globally.

Identifying determinants of spatial agglomeration of healthcare resources by using spatial econometric methods: a longitudinal study in China.

Healthcare resources are necessary for individuals to maintain their health. The Chinese government has implemented policies to optimize the allocation of healthcare resources and achieve the goal of equality in healthcare for the Chinese people since the implementation of the new medical reform in 2009. Given that no study has investigated regional differences from the perspective of healthcare resource agglomeration, this study aimed to investigate China's healthcare agglomeration from 2009 to 2017 in China and identify its determinants to provide theoretical evidence for the government to develop and implement scientific and rational healthcare policies. The study was conducted using 2009-2017 data to analyze health-resource agglomeration on institutions, beds, and workforce in China. An agglomeration index was applied to evaluate the degree of regional differences in healthcare resource allocation, and spatial econometric models were constructed to identify determinants of the spatial agglomeration of healthcare resources. From 2009 to 2017, all the agglomeration indexes of healthcare exhibited a downward trend except for the number of institutions in China. Population density (PD), government health expenditures (GHE), urban resident's disposable income (URDI), geographical location (GL), and urbanization level (UL) all had positive significant effects on the agglomeration of beds, whereas both per capita health expenditures (PCHE), number of college students (NCS), and maternal mortality rate (MMR) had significant negative effects on the agglomeration of institutions, beds, and the workforce. In addition, population density (PD) and per capita gross domestic product (PCGDP) in one province had negative spatial spillover effects on the agglomeration of beds and the workforce in neighboring provinces. However, MMR had a positive spatial spillover effect on the agglomeration of beds and the workforce in those regions. The agglomeration of healthcare resources was observed to remain at an ideal level in China from 2009 to 2017. According to the significant determinants, some corresponding targeted measures for the Chinese government and other developing countries should be fully developed to balance regional disparities in the agglomeration of healthcare resources across administrative regions.

Differential Analysis of Carbon Emissions between Growing and Shrinking Cities: A Case of Three Northeastern Provinces in China

Carbon emission issues are becoming increasingly severe, and the carbon emissions in shrinking cities, primarily characterized by population loss, are often overlooked and insufficiently studied. This paper focuses on the carbon emissions from county-level administrative units in China’s three northeastern provinces from 2001 to 2017. The study scientifically identified shrinking cities and measured the differences in carbon emission characteristics between growing and shrinking cities using the Theil index. Ultimately, the paper constructs a panel spatial econometric model to analyze the factors influencing them and explore their spatial effects. (1) The total carbon emissions in the Three Northeastern Provinces exhibited an inverted U-shaped trend, increasing from 734.21 million tons in 2001 to 1731.73 million tons in 2017, with the Mann–Kendall trend test showing a significant increase; spatially, this manifests as a significant positive spatial autocorrelation. (2) The region has 138 shrinking cities, accounting for over 50%; regarding carbon emission characteristics, the Theil index has consistently remained above 0.18, indicating significant differences between the carbon emissions of growing and shrinking cities. (3) The panel spatial econometric model results show that the influencing factors of carbon emissions in shrinking cities have unique directions, intensities, and spatial effects. In shrinking cities, aside from localized GDP effects and per-capita GDP acting as a suppressant, the population size has a pronounced inhibitory effect on local and surrounding carbon emissions. The analysis reveals significant differences in the carbon emission patterns and mechanisms between growing and shrinking cities; based on these results, the paper proposes differentiated carbon control strategies.

Optimization and Local Cost-Effectiveness of Nasopharyngeal Carcinoma Screening Strategies in Southern China: Secondary Analysis of the Guangdong Randomized Trial.

Screening with anti-Epstein-Barr virus (EBV) serology and endoscopy decreased nasopharyngeal carcinoma (NPC) mortality in Guangdong in a randomized trial. We conducted a secondary analysis of this trial using local incidence and cost data to optimize screening programs, hypothesizing that screening could be cost-effective in southern China. Screening costs and life-years after NPC diagnosis were obtained from the Guangdong trial's intent-to-screen population (men and women aged 30-69). Seropositive subjects were rescreened annually for 5 years. Thereafter, we evaluated 12 screening strategies in Guangdong and Guangxi using a validated model. Strategies used combinations of serology, nasopharyngeal swab PCR (NP PCR), endoscopy, and MRI from trial subcohorts. Incidence data and costs were obtained from local cancer registries and the provincial healthcare system. In the intent-to-screen population, screening with serology and endoscopy was cost-effective (¥42,366/life-year, 0.52 GDP per capita). Screening for 5 to 15 years between ages 35 and 59 years met a willingness-to-pay threshold of 1.5 GDP/quality-adjusted life-years in all modeled populations. Despite doubling costs, adding MRI could be cost-effective via improved sensitivity. NP PCR triage reduced endoscopy/MRI referrals by 37%. One-lifetime screen could reduce NPC mortality by approximately 20%. EBV-based serologic screening for NPC is likely to be cost-effective in southern China. Among seropositive subjects, the preferred strategies use endoscopy alone or selective endoscopy triaged by MRI with or without NP PCR. These data may aid the design of screening programs in this region. These findings support population-based screening in southern China by defining the target population, cost-effectiveness, and optimized screening approach.

A Comparative Assessment of the Contribution of Foreign Direct Investment to Economic Development of Nigeria and Ghana

Generally, sub-Saharan countries suffer setbacks in regard to capital accumulation necessary to sponsor investment demands, thus promoting economic development. As a result, they look out for foreign sources such as foreign direct investment (FDI) to augment the investment-saving gap. Recently, due to global shake-ups and uncertainty, there has been a drastic fluctuation in the level of FDI inflow into the West African sub-region, especially in the two giant economies of Nigeria and Ghana. This attracted the attention of this research work. Thus, this study comparatively reassesses the contribution of FDI inflow to the economic development of these giant economies from 1980 to 2020 to determine which one of them benefits the most given the fluctuation in FDI inflows. The outcome reveals that FDI inflows have a significant influence on the economic development of both economies. In Nigeria particularly, evidence shows a strong positive correlation between FDI and Gross Domestic Product Per Capita (GDPPC), implying that the Nigerian economy is investment-driven in the period under consideration. Essentially, the Nigerian economy can achieve its desired development with FDI support. Similarly, findings indicate that FDI inflows into Ghana have a strong positive impact on economic development. Thus, a recommendation is made for the Ghanaian government to source more foreign resources by opening her economic borders wide for global integration. Pursuance of trade liberation policy for the purpose of attracting more foreign resources is critical to the attainment of sustainable economic development in both economies. Policy actions enabling stable macroeconomic conditions and a peaceful environment for smooth investment operations are key factors guaranteeing economic development.

GREEN ECONOMY WITH ECONOMIC GROWTH AND PER CAPITA INCOME IN VIETNAM

Objective: The objective of this study is to investigate the green economy with economic growth and per capita income in Vietnam, to analyze the quantitative relationship among those factors, and to improve long-term green economic development in Vietnam towards sustainable national economic growth. Theoretical Framework: In this topic, the main concepts and theories that underpin the research are presented. The inverted U-shaped model of Kuznets; Green economy concept and regression model stand out, providing a solid basis for understanding the context of the investigation. Method: The methodology adopted for this research comprises desk research methods to clarify the theoretical basis of green economy, economic growth, and per capita income; qualitative research methods; and quantitative research methods. Data collection was carried out through the collection of time-series data: Real Gross Domestic Product (GDP), Gross Domestic Product per capita (GDPP), and CO2 emissions from 1995 to 2022 from the World Bank website. Results and Discussion: The results obtained revealed the positive relationship between economic growth, CO2 emissions, and per capita income in the short term; however, in the long term, when GDP as well as per capita income reach a certain threshold. The level of waste gradually decreases and environmental quality improves. In the discussion section, these results are contextualized in light of the theoretical framework, highlighting the implications and relationships identified. Possible discrepancies and limitations of the study are also considered in this section. Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of development economics. These implications could encompass many sectors, especially the processing industry. Originality/Value: This study contributes to the literature by Simon Kuznets - economic growth is not a threat, but rather a means to improve the environment in the future. The relevance and value of this research are evidenced by contributing one more case in Vietnam which approves Kuznets curve on the environment and thus is the basis for future research on this urgent problem all over the world.

A 16-Year Analysis of Aesthetic Surgery Volume and Its Association with U.S. Economic Performance

Abstract Goals/Purpose Historically, demand for plastic surgery has been associated with the performance of the United States (US) economy. Over the past two decades, the US has weathered a recession, several presidential election cycles, and has seen a rise in the use and influence of social media. Each of these events has led to varying effects on the economy, which undoubtedly have had an impact on plastic surgery demand and expenditures. Thus, this study aims to evaluate the relationship between indicators of economic performance and the popularity and profitability of aesthetic surgery from 2006 to 2022. Methods/Technique Data from the Aesthetic Society’s (AS) Aesthetic Plastic Surgery National Databank and the American Society of Plastic Surgeons’ (ASPS) Plastic Surgery Statistics Report was collected from 2006 to 2022. Surgical procedures analyzed included the most commonly performed cosmetic surgeries: breast augmentation, breast reduction, mastopexy, abdominoplasty, liposuction, blepharoplasty, facelift, and rhinoplasty. The non-surgical botox injections and dermal fillers were also included. A total of 24 variables were examined, including the 10 procedures and two composite variables—total surgical procedures and total injectables; case change percent difference and patient expenditures percent difference were recorded for each of these. Within the corresponding period, economic indices were collected, including personal disposable income per capita (PDI), consumer price index (CPI), medical care services CPI, average gross domestic product per capita (GDP), and annual average closing prices of the NASDAQ, S&amp;P 500, and the Dow Jones (DOW). Pearson correlation tests were used to analyze the strength of association between each financial indicator and case volumes and expenditures for each procedure included in the ASPS and AS reports. Results/Complications From 2006 to 2020 ASPS data demonstrated GDP year-over-year (YOY) change that was positively correlated with case volume and expenditures across 13 out of the 24 different procedure metrics (54.2%). From 2006 to 2016, AS data was positively correlated with the performance of NASDAQ, S&amp;P500, and DOW in 12 of the 24 procedure metrics (50%). GDP YOY change closely followed suit with positive correlations to 11 variables (45.8%). YOY change of PDI, CPI, and medical care services CPI were less frequently associated amongst both data sets. For ASPS data, YOY medical services CPI change was negatively associated with five variables, indicating that as medical services CPI increased, volume of procedures and expenditures decreased. PDI YOY change was not significantly associated with any variables. In the AS dataset between 2006 and 2016, CPI YOY change was not found to be significantly associated with any variables. Across 2019–2022, CPI YOY and disposable YOY change were found to be significantly associated with three variables each. Conclusion Our study suggests that aesthetic plastic surgery procedures and expenditures are most positively correlated with GDP. Stock market indices are additional financial indicators which have significant positive correlations with plastic surgery case volume and expenditures. Inflation indicators were less frequently correlated. Over this timeframe, several important financial events have occurred including the Great Recession, a stock market selloff in 2015 and 2016, and the COVID-19 pandemic. Each of these events, along with several election cycles and the increasing influence of social media and popular culture, have had variable impacts on consumers and the demand for aesthetic plastic surgery. Plastic surgeons should be familiar with US and global financial markets as they fluctuate with current events. While plastic surgery prices and demand may be difficult to anticipate, this study elucidates several factors that may be used by plastic surgeons as a bellwether for their practice.

Worldwide divergence of values

Social scientists have long debated the nature of cultural change in a modernizing and globalizing world. Some scholars predicted that national cultures would converge by adopting social values typical of Western democracies. Others predicted that cultural differences in values would persist or even increase over time. We test these competing predictions by analyzing survey data from 1981 to 2022 (n = 406,185) from 76 national cultures. We find evidence of global value divergence. Values emphasizing tolerance and self-expression have diverged most sharply, especially between high-income Western countries and the rest of the world. We also find that countries with similar per-capita GDP levels have held similar values over the last 40 years. Over time, however, geographic proximity has emerged as an increasingly strong correlate of value similarity, indicating that values have diverged globally but converged regionally.

Health impact and cost-effectiveness of expanding routine immunization coverage in India through Intensified Mission Indradhanush.

Many children do not receive a full schedule of childhood vaccines, yet there is limited evidence on the cost-effectiveness of strategies for improving vaccination coverage. Evidence is even scarcer on the cost-effectiveness of strategies for reaching 'zero-dose children', who have not received any routine vaccines. We evaluated the cost-effectiveness of periodic intensification of routine immunization (PIRI), a widely applied strategy for increasing vaccination coverage. We focused on Intensified Mission Indradhanush (IMI), a large-scale PIRI intervention implemented in India in 2017-2018. In 40 sampled districts, we measured the incremental economic cost of IMI using primary data, and used controlled interrupted time-series regression to estimate the incremental vaccination doses delivered. We estimated deaths and disability-adjusted life years (DALYs) averted using the Lives Saved Tool and reported cost-effectiveness from immunization programme and societal perspectives. We found that, in sampled districts, IMI had an estimated incremental cost of 2021US$13.7 (95% uncertainty interval: 10.6 to 17.4) million from an immunization programme perspective and increased vaccine delivery by an estimated 2.2 (-0.5 to 4.8) million doses over a 12-month period, averting an estimated 1413 (-350 to 3129) deaths. The incremental cost from a programme perspective was $6.21 per dose ($2.80 to dominated), $82.99 per zero-dose child reached ($39.85 to dominated), $327.63 ($147.65 to dominated) per DALY averted, $360.72 ($162.56 to dominated) per life-year saved and $9701.35 ($4372.01 to dominated) per under-5 death averted. At a cost-effectiveness threshold of 1× per-capita GDP per DALY averted, IMI was estimated to be cost-effective with 90% probability. This evidence suggests IMI was both impactful and cost-effective for improving vaccination coverage, though there is a high degree of uncertainty in the results. As vaccination programmes expand coverage, unit costs may increase due to the higher costs of reaching currently unvaccinated children.

Analisis Determinan Pengeluaran Konsumsi Rumah Tangga di Thailand

Consumption plays an important role in a country's economic growth, making it the main focus of the government in designing economic policies. This study aims to analyze the factors that affect household consumption in Thailand. The research method used is Ordinary Least Square (OLS) to evaluate the impact of these variables on consumption. The results of the analysis show that Gross Domestic Product per capita, population, and consumption credit have a significant positive influence on household consumption in Thailand. On the other hand, interest rate has a negative, albeit insignificant, influence on household consumption. These findings provide important insights for policymakers in regulating the economic factors that influence household consumption behavior. By understanding these factors, the Thai government can design more effective policies to promote economic growth through stimulating household consumption. Keywords: HFCE, GDP Percapita, Population, Interest Rate, Consumption credit