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The purpose of this study is to investigate the influence of green finance on human well-being in China in the context of urbanization and aging population. It aims to explore the contributions of green finance in such demographic scenarios.

This study innovates and optimizes the calculation of the carbon intensity of human well-being (CIWB) index and strengthens the integrity of the assessment model for green finance development. It uses the serial multiple mediator model and moderation effect analysis to address the impact of green finance on human well-being in China on the provincial level from 2009 to 2020.

Green finance has a significant, positive and direct impact on human well-being. Simultaneously, it influences human well-being indirectly through three transmission channels. Urbanization and an ageing population are significant individual mediators through which green finance contributes to human well-being improvement. Notably, these two mediators also work together to transfer the promotional impact of green finance to human well-being.

The government can perfect the regulations to strengthen the market ecosystem to accelerate the development of green finance. Reforms on the administrative division to expand the size of cities with the implementation of ageing friendly development strategy is also necessary. Attracting incoming foreign direct investment in sustainable projects and adjusting public projects and trade activities to fulfil the sustainable principles are also regarded as essential.

The findings challenge traditional views on the impact of aging populations, highlighting the beneficial role of green finance in improving well-being amidst demographic changes. This offers a new perspective on economic and environmental sustainability in aging societies.

A multi-dimensional well-being indicator, CIWB and the serial multiple mediator model are used and direct and indirect impacts of green finance on human well-being is exhibited. It offers novel insights on the transmission channels behind, identifies the mediating role of urbanization and ageing population and offers empirical evidences with strong academic and policy implications.

This research empirically establishes that the interpersonal population diversity of executive board members partly explains the differences in financial misconduct across US banks. It advances the hypothesis that heterogeneity in the composition of an interpersonal population and diverse traits of board members, originating from the prehistoric course of the exodus of Homo sapiens from East Africa tens of thousands of years ago, is an important factor explaining the effectiveness of executive board monitoring with respect to a bank engaging in financial misconduct. The underlying intuition is that population-fragmented societies, characterized by mistrust, preference heterogeneity and corruption, find it difficult to sustain collective integrity action.

Employing a panel of US banks from 1998 to 2019 we find that adding directors from countries with different levels of interpersonal population diversity is positively associated with financial misconduct as measured by enforcement and class action litigation against banks by the main regulatory agencies. Furthermore, we document that the more population-diverse bank boards are more likely to commit misconduct, consistent with a mechanism of inter-generational transmission of cultural norms of mistrust and non-cooperation.

We find that adding directors from countries with different levels of interpersonal population diversity is positively associated with financial misconduct as measured by enforcement and class action litigation against banks by the main regulatory agencies. These results are robust to controlling for bank-specific variables, including other board characteristics, and to the use of instrumental variables.

The findings suggest that reducing financial misconduct by banks likely requires reducing the interpersonal population diversity of banks’ executive boards.

We show how bank boards with different interpersonal population diversity impact the likelihood of engaging in misconduct provides evidence of the microeconomic effects of interpersonal population diversity. We show the negative results of diversity that they can have on the management of a firm given that populated diverse boards are more likely to lead to higher levels of misconduct. Our evidence reveals that banks having interpersonal population fragmented boards are more likely to commit misconduct given the cultural norms of mistrust and the lack of societal cohesiveness.

The recommended public healthcare infrastructure and human resources are essential to deliver healthcare services, particularly in tribal areas, as the country’s tribal population depends mainly on the public healthcare system for their medical needs. India has a substantial share of the tribal population, accounting for approximately 9% of the total population. The paper reviews the state of public healthcare infrastructure and human resources in tribal areas for a period that spreads over a decade.

The paper relied on data from the Government of India’s Rural Health Statistics (RHS) reports (2011–2012 and 2021–2022). From these reports, data on the physical infrastructure and human resources in the tribal areas were extracted. The extracted data were compiled and analyzed using Microsoft Excel.

The analysis showed that the improvement in public healthcare infrastructure and human resource situation in tribal areas of the country was not commensurate with the tribal population growth seen in the last decade. As a result, the average population covered by a health facility was greater than the prescribed norms in the tribal-dominated geographies. The health worker-population ratio at the primary healthcare level was also higher than the national norms. However, there was a substantial improvement in the doctor-population ratio at the primary health center level. In comparison to tribal-lean states, tribal-dominated states faced the concurrent challenge of a growing population and strained healthcare facilities and human resources. As a result, the healthcare infrastructure and human resource gap continued in the tribal-dominated states of the country. The gaps in health infrastructure and human resources in tribal-dominated states must be addressed as a priority under the health infrastructure strengthening efforts to ensure that the tribal population receives and has access to quality health care from publicly funded health facilities, leading to improved health outcomes in the tribal population and the achievement of the sustainable development goals (SDGs).

We have not come across any paper that has carried out pancountry analysis of healthcare infrastructure and human resources in tribal areas.

Knowledge about current size and structure of a country's population is needed for the formulation and implementation of policies and programs in almost all sectors of public life. The purpose of this paper is to provide population projection for Oman, using population census and family health survey data.

Component method is used for projecting future population of Oman. Population Census data of 2003 by sex and by five‐year age groups were used. The base life expectancy of Oman is assumed to be 73 years and the base total fertility considered as 5.1 children per woman.

Depending upon the achievement of replacement fertility by the year 2025 or 2030 or 2035 the population of Oman in 2050 will vary from 4.5 million to 5.0 million. The different scenarios of population projection indicate that the population of Oman will not be stabilized before 2100.

Population projection depends on assumptions about mortality, fertility, base life expectancy and migration. If these assumptions change then the projections will also change.

Because of high fertility in the past, women in the reproductive ages will increase for up to several decades. Thus, population growth will continue because of momentum effect, even if Oman achieves replacement fertility say in 2030. The age at marriage will increase.

The rapid socio‐economic development and increased women empowerment will create a new outlook and ideas about lifestyles, leading to a decline in fertility. The decline in fertility is strongly related to social, health, education, employment opportunities of women and economic development, which through a variety of mechanisms, reduces the fertility desired and increases the fertility regulation through contraception, birth spacing and increased age at marriage of females. Because of increase in life expectancy and falling birth rate, the absolute number of the elderly population will have enormous impact on health care needs and hospitalization.

This paper deals with the population projection of Oman. Timely and accurate information about population trends is crucial for the socio‐economic development of a country. Knowledge about current size and structure of a country's population is needed for the formulation and implementation of policies and programs in almost all sectors of public life such as health, education and employment.

The economic law of population distribution and migration has been studied chiefly based on the Chinese situation. The distribution and development of productive forces decide the distribution and migration of population, and in turn, the latter influences the former. The population distributions in three different stages of social development, namely agricultural, industrial and information society, are described. A new concept in population economics is introduced, i.e. population economic density, which is different from the concept of population density. The formula of population economic density is P(population)/R(resources). Many kinds of migration are analysed, and it is believed that the main efficient cause of migration is economy.

The purpose of this paper is to investigate the relationship between ownership type and population health initiatives adopted by hospitals using the 2015 American Hospital Association data.

Hospitals of various sizes, ownership structures and geographic locations are represented in the survey. The outcome variables of interest include measures of hospital population health activities.

Findings indicate that nonprofit hospitals are most likely to express commitment to population health and participate in population health activities, with for-profit hospitals being least likely. Implications for policy and practice are discussed.

This study demonstrates that discrepancies in population health approaches exist across ownership status – particularly, nonprofit hospitals appear to be the most likely to be involved in population health efforts.

As we continue to push for population health management in the hospital setting, grappling with the definition and purpose of population health management will be essential.

Overall, these results suggest that nonprofit hospitals are more likely to be implementing population health efforts than for-profit or government-owned hospitals.

Although there are several studies on population health in hospitals, this study is the first to investigate the relationship between ownership type and population health initiatives adopted by hospitals.

The paper seeks to provide a comprehensive review of the most important current and future demographic trends around the world and to discuss their implications for business schools. It aims to do so by going beyond the usual consideration of population size and also by focusing on the changing composition by age, sex and highest educational attainment.

Standard cohort‐component population projections are complemented with methods of multi‐state projections and probabilistic population projections.

The paper shows the likely end of world population growth together with massive anticipated population ageing in low fertility countries and continuing very high population growth in Sub‐Saharan Africa and parts of Western Asia. Because of past investments in education younger cohorts tend to be better educated. For business schools this presents challenges in terms of the composition of the student body and faculty as well as the content of teaching.

This is the first time that such multi‐state projections of population and human capital around the world are discussed in the context of challenges arising for higher education.

The purpose of this paper is to apply grey system theory to population system and project China's population.

The paper applies the GM(1,1) model to China's population projections. Two key aspects of the method are crucial for obtaining best accuracy of prediction. They are the choice of the length for the original data to be used in the model and the adoption of the GM(1,1) metabolic model in prediction. The former determines what initial data to be used while the latter describes an iteration process on how to proceed to predict.

The results show that in 2015 China's population will reach 1.37 billion and in 2050 it will be between 1.42 and 1.48 billion, which is in accordance with the latest projections from the UN. The findings show the GM(1,1) metabolic model is an effective mathematical means in population projections.

The paper suggests that GM(1,1) metabolic model can provide an effective simulation model for complicated systems with uncertainty and can be used in many fields.

The paper provides useful advice for the department of population.

Most population projections have been based on assumptions about fertility, mortality, and migration. The paper considers the population system as a grey system and introduces the GM(1,1) metabolic model to population projections.

The global population has been experiencing an unprecedentedly rapid demographic transition as the populations have been growing older in many countries during the current decades. The purpose of this study is to introduce a Grey Exponential Smoothing model (GESM)-based mechanism for analyzing population aging.

To analyze the aging population of Sri Lanka, initially, three major indicators were considered, i.e. total population, aged population and proportion of the aged population to reflect the aging status of a country. Based on the latest development of computational intelligence with Grey techniques, this study aims to develop a new analytical model for the analysis of the challenge of disabled and frail older people in an aging society.

The results suggested that a well-defined exponential trend has been seen for the population ages 65 and above, a total of a million) during 1960–2022; especially, the aging population ages 65 and above has been rising rapidly since 2008. This will increase to 24.8% in 2040 and represents the third highest percentage of elderly citizens living in an Asian country. By 2041, one in every four Sri Lankans is expected to be elderly.

The study proposed a GESM-based mechanism for analyzing the population aging in Sri Lanka based on the data from 1960 to 2022 and forecast the aging demands in the next five years from 2024 to 2028.

The physical environment of correctional facilities promote infectious disease transmission and outbreaks. The purpose of this study is to compare the COVID-19 burden between the correctional facility (incarcerated individuals and staff members) and non-correctional facility population in Ontario during the COVID-19 pandemic.

All individuals in Ontario with a laboratory confirmation of SARS-CoV-2 between 15 January 2020 and 31 December 2022 and entered into the provincial COVID-19 data were included. Cases were classified as a correctional facility case (living or working in a correctional facility) or a non-correctional facility case. COVID-19 vaccination status was obtained from the provincial COVID-19 vaccine registry. Statistics Canada census data were used to calculate COVID-19 incidence and hospitalization rates for incarcerated cases and the non-correctional facility population.

Between 15 January 2020 and 31 December 2022, there were 1,550,045 COVID-19 cases in Ontario of which 8,292 (0.53%) cases were reported in correctional (63.8% amongst incarcerated individuals, 18.6% amongst staff and 17.7% amongst an unknown classification) and 1,541,753 (99.47%) were non-correctional facility cases. Most cases in correctional facilities were men (83.8%) and aged 20–59 years (93.1%). COVID-19 incidence and hospitalization rates were generally higher among incarcerated individuals compared to the non-correctional facility population throughout the study period. COVID-19 incidence peaked in January 2022 for both the correctional facility population (21,543.8 per 100,000 population) and the non-correctional facility population (1915.1 per 100,000 population). The rate of COVID-19 hospitalizations peaked for the correctional facility population aged 20–59 in March 2021 (70.7 per 100,000 population) and in April 2021 for the non-correctional facility population aged 20–59 (19.8 per 100,000 population). A greater percentage of incarcerated individuals (73.0%) were unvaccinated at time of their COVID-19 diagnosis compared to the non-correctional facility population (49.3%). Deaths amongst correctional facility cases were rare (0.1%, 6 / 8,292) compared to 1.0% of non-correctional facility cases (n = 15,787 / 1,541,753).

During the COVID-19 pandemic, individuals incarcerated in correctional facilities in Ontario had higher COVID-19 incidence and hospitalization rates compared to the non-correctional facility population. These results support prioritizing incarcerated individuals for public health interventions to mitigate COVID-19 impacts in correctional facilities.