Life expectancy at birth is considered a parameter of the social development, health system, or economic development of a country. We aimed to investigate the effects of GDP per capita (as the economic factor), health care expenditure, the number of medical doctors (as social factors), and CO2 emissions (as the environmental factor) on life expectancy. We used panel data analysis for 13 Eastern European countries over the 2000-2020 period. After performing the analysis, we used a cross-country fixed-effects panel (GLS with SUR weights). According to our model, a one percent increase in health expenditure (as % of GDP) increases life expectancy at birth by 0.376 years, whereas each additional medical doctor per 10,000 inhabitants increases life expectancy at birth by 0.088 years on average. At the same time, each additional 10,000 USD per capita each year would increase life expectancy at birth by 1.8 years on average. If CO2 emissions increase by 1 metric ton per capita, life expectancy at birth would decrease by 0.24 years, suggesting that higher carbon emissions are capable of reducing longevity. Every European country has to make special efforts to increase the life expectancy of its inhabitants by applying economic and health policies focused on the well-being of the population.

Political doctrines determine the formation of territorial units or geopolitical models more adequate to generate public value in subnational organizations, with positive results in the HDI, productivity indicators and national competitiveness oriented to improve the quality of public service for citizens who participate in democratic electoral processes with identity and that promote a decentralized State that does not generate development obstacles as an effect of geographical limits by departments and regional governments with inequalities in natural resources and comparative advantages, but that projects integration, better economic performance, sustainability, and sustainability for regional and national development and as an alternative to achieve political stability in Peru. The aim of this article is to explore whether the contribution of natural regions and macro-regions to sustainable development is unequal. Information from official web pages. The disparity index, analysis of variance (ANOVA) and Tukey\'s analysis were used. The GDP per capita of the coastal departments is 64% higher than that of the Andes and 136% higher than those of the Amazon; the HDI of the coast exceeds those regions by 31 and 19%; 44% of the urban population residing in marginal neighborhoods are on the coast, 67% in the Andes and 69% in the Amazon. The percentage of corruption is highest on the coast, followed by the Amazon. At the regional macro level, the primacy in GDP per capita and the HDI moves to the south, although the superiority of the corruption index persists in the center, followed by the south; both significantly higher than the east and north. This fact would reveal the possibility of a regional macro development without Lima and through axes of various development nodes, feasible in the era of globalization.

As the world\'s population grows, the energy demand continues to rise due to advancements in technology and the impact of globalization. The finite nature of traditional energy sources has accelerated the shift toward renewable energy, particularly in developing countries where environmental degradation and declining quality of life are significant concerns. This study delves into the interplay between urbanization, carbon dioxide emissions, economic growth, and renewable energy production in Organization of the Black Sea Economic Cooperation member states, providing new insights into the energy market. By using annual data from 1995 to 2020 and advanced panel cointegration tests, this study provides a comprehensive analysis of the determinants of renewable energy for developing countries. The findings show a substantial and long-term relationship between urbanization, emissions, growth, and renewable energy production. These findings have important implications for policymakers and underscore the critical role of renewable energy in mitigating climate change in developing countries.

UNASSIGNED: Considering the significance of rice as a staple food in Indonesia, this study aims to analyze the impact of various factors, i.e., domestic price production level, exchange rate, international rice price, and Gross Domestic Product (GDP) per capita, on domestic rice prices and the resultant disparity in income distribution and inequality in the country.
UNASSIGNED: A simulation analysis has been performed to assess the impact of the above-mentioned factors on rice prices and the resultant income disparity in Indonesia. For that, input data from 2006 to 2020 was used to depict the change in domestic rice prices from 2021 to 2026 due to independent variables changes.
UNASSIGNED: Results revealed that a regular increase in rice production decreases rice prices in the longer term. Besides, a rise in the exchange rate decreases rice prices, and a fall in the exchange rate results in higher rice prices. Results also showed the insignificant impact of international rice prices on domestic rice prices in Indonesia. In contrast, an increase in per capita income reflected an increase in rice prices. Moreover, the result of the study exemplifies that the expenditure for rice has a very low elasticity (0.0975) compared to the expenditure on non-rice food (0.4096). More than half of the total household expenditure (50.71%) is spent on food, while the rest (49.29%) is used for non-food. The increase in rice prices affects the rise of income amongst farmers and declines the income of non-farmers. Hence it affects the decline of disparity in households\' income distribution.
UNASSIGNED: This study adds value to the existing literature with several implications for practitioners, policymakers, and government organizations to take necessary measures to stabilize rice prices and income distribution among the various income groups.

UNASSIGNED: Understanding and minimizing existing global coronavirus disease 2019 (COVID-19) vaccination disparities is critical to global population health and eliminating health inequities. The study aims to investigate the disparities of vaccination coverage and progression and the associated economic and educational determinants to inform global COVID-19 vaccination strategies.
UNASSIGNED: COVID-19 vaccination coverage data from 206 countries used in the study were derived from \"Our World in Data\" website. After obtaining the vaccination coverage indicators, we fitted the progression indicators for vaccination. Correlation and multiple linear regression analysis were used to examine the effects of gross domestic product (GDP) per capita, Gini index, education, and their interactions on the coverage and progression of the COVID-19 vaccination.
UNASSIGNED: The coverage of COVID-19 vaccination ranged from less than 30 doses to more than 150 doses per hundred people, from less than 15% to more than 75% for proportion of people vaccinated, from less than 15% to more than 60% for proportion of people fully vaccinated. Similarly, the progression of vaccination ranged from less than 0.1 to more than 0.6 for progression of total number of doses, from less than 0.1 to more than 0.3 for progression of proportion of people vaccinated, and from less than 0.1 to more than 0.4 for progression of proportion of people fully vaccinated. GDP per capita and education were positively associated with the coverage and progression, while Gini index was negatively associated with the coverage and progression. Negative interaction between GDP per capita and education was also observed for coverage (β = -0.012 to -0.011, P < 0.05) and progression (β = -0.012 to -0.011, P < 0.05).
UNASSIGNED: Substantial geographic disparities existed for the coverage and progression of COVID-19 vaccination. Economy and education are two important factors contributing to the disparities. Different countries may adopt varied strategies to promote the national distribution and vaccination of COVID-19 vaccines.

COVID-19 has changed the world since 2020, and the field of water specifically, boosting scientific productivity (in terms of published articles). This paper focuses on the influence of COVID-19 on scientific productivity with respect to four water variables: (i) wastewater, (ii) renewable water resources, (iii) freshwater withdrawal, and (iv) access to improved and safe drinking water. The field\'s literature was firstly reviewed, and then the maps were built, emphasizing the strong connections between COVID-19 and water-related variables. A total of 94 countries with publications that assess COVID-19 vs. water were considered and evaluated for how they clustered. The final step of the research shows that, on average, scientific productivity on the water topic was mostly conducted in countries with lower COVID-19 infection rates but higher development levels as represented by gross domestic product (GDP) per capita and the human development index (HDI). According to the statistical analysis, the water-related variables are highly significant, with positive coefficients. This validates that countries with higher water-related values conducted more research on the relationship with COVID-19. Wastewater and freshwater withdrawal had the highest impact on the scientific productivity with respect to COVID-19. Access to safe drinking water becomes insignificant in the presence of the development parameters.

Due to inspiring growth over the past 20 years, the dynamics of Chinese exports have been the focus of many researchers. In contrast to current literature, this study examines the quadratic relationship between China\'s real exports to 154 partner countries and the income of trading partners from 1996 to 2019. The findings obtained from the second generational econometric analysis confirm cross-section dependence and heterogeneous slope among panel members. Second, while the GDP per capita of partner countries has a positive impact on China\'s exports, the quadratic of GDP per capita has a negative impact. These findings indicate an inverted U-shaped relationship between China\'s exports and GDP per capita of its partner countries-thus, validating the trading Kuznets curve (TKC) hypothesis. The appreciation of the Renminbi (RMB) has statistically significant negative effects on China\'s exports. From a policy perspective, Chinese policymakers could consider the TKC hypothesis when determining market and export strategies. Additionally, the Chinese monetary authority could consider stabilizing the value of the RMB.

Indonesia\'s stagnated progress towards tobacco control could be addressed through the implementation of a comprehensive national framework, such as the World Health Organization\'s (WHO) Framework Convention of Tobacco Control (FCTC). However, national tobacco industry supporters argue that accepting the FCTC will have negative economic implications for the country. These arguments have, thus far, discouraged the Indonesian government from ratifying the FCTC. Drawing from an analysis of the impact of the FCTC on other countries\' smoking rates and Gross Domestic Product (GDP) per capita, this study offers empirical evidence against industry arguments concerning the potential negative economic impacts of FCTC adoption. This study applies a two stage least square estimation strategy to unbalanced panel data at country level. In the first stage we estimate the impact of FCTC ratification on smoking rates, and in the second step, we estimate the influence of smoking activity on macroeconomic performance.
The result of this study shows that FCTC ratification has a negative impact on a country\'s smoking prevalence. While FCTC ratification positively correlates with reduced smoking prevalence, a decline in smoking prevalence is not related to a decline in GDP per capita.
The results of this study shows that FCTC ratification, which can be an important driver for more effective tobacco control, does not necessarily have a negative impact on the economy. Instead, FCTC ratification may be beneficial for both health and economic outcomes, as it provides comprehensive guidance for reducing smoking prevalence that take into account social and economic factors.

World\'s population is exponentially aging as people reaching 100 years old has increased. The number of areas with the highest centennial population rates (Blue Zones), are significantly higher. Are there any determinant factors that favor this situation in Spain? The goal of this study was to determine the possible influence of sex, rurality and socioeconomic factors (Gross Domestic Product (GDP)) on the prevalence of the centennial population of the Spanish society. The Spanish register of inhabitants was published in 2017 by the National Statistics Institute. The analysis was carried out both by Autonomous Communities and by provinces in phases: a first descriptive analysis, followed by an inferential analysis, based on statistical tests (independent T- Student test, Pearson correlation and ANOVA). There were significant interactions between: i) sex and longevity (in favor of the female population); ii) female and rural housing and iii) female, GDP and urban areas. Feminization was proven in the longevity revolution, but, in general, GDP per Capita was not a significant survival factor on its own. This study was the first step of further analysis related to extreme longevity in Spain, which will include other dependent variables such as state of health and well-being as well as social factors.

The COVID-19 pandemic had huge impacts on the global world, with both a negative impact on society and economy but a positive one on nature. But this universal effect resulted in different infection rates from country to country. We analyzed the relationship between the pandemic and ecological, economic, and social conditions. All of these data were collected in 140 countries at six time points. Correlations were studied using univariate and multivariate regression models. The world was interpreted as a single global ecosystem consisting of ecosystem units representing countries. We first studied 140 countries around the world together, and infection rates were related to per capita GDP, Ecological Footprint, median age, urban population, and Biological Capacity, globally. We then ranked the 140 countries according to infection rates. We created four groups with 35 countries each. In the first group of countries, the infection rate was very high and correlated with the Ecological Footprint (consumption) and GDP per capita (production). This group is dominated by developed countries, and their ecological conditions have proved to be particularly significant. In country groups 2, 3, and 4, infection rates were high, medium, and low, respectively, and were mainly related to median age and urban population. In the scientific discussion, we have interpreted why infection rates are very high in developed countries. Sustainable ecosystems are balanced, unlike the ecosystems of developed countries. The resilience and the health of both natural ecosystems and humans are closely linked to the world of microbial communities, the microbiomes of the biosphere. It is clear that both the economy and society need to be in harmony with nature, creating sustainable ecosystems in developed countries as well.