The role of gene-environment interaction in the formation of risk attitudes.

Understanding the formation of risk preferences is crucial for elucidating the roots of economic, social, and health inequalities. However, this area remains inadequately explored. This study employs a risk preference measure directly linked to the labor market to examine whether previous experiences with high unemployment rates influence current risk decision-making among the elderly, and whether this impact varies by genotype. The findings indicate that individuals with low genetic predispositions for risk tolerance are more significantly influenced by historical fluctuations in unemployment rates than those with high genetic predispositions for risk tolerance. Consequently, this paper identifies genetic endowment as a crucial moderating factor that shapes how past experiences impact current decision-making processes. This disparity in how past experiences shape risk preferences based on genetic predisposition may further amplify inequalities in health, wealth, income, and other outcomes associated with risk preferences.

Research on the impact and mechanism of digital economy on China's urban green total factor productivity.

Green and sustainable development is unstoppable. The digital economy has driven great changes in production methods and has become a key strength in reshaping global economic structure and achieving sustainable development. Cities are both the mainstay of economic growth and the main source of various environmental pollution problems. Therefore, studying the relationship between urban digital economy and urban green total factor productivity is of great significance. Based on panel data from 252 cities in China 2011-2019, a two-way fixed effects model was used to examine the impact of urban digital economy on urban green total factor productivity. The empirical results indicate that: (1) Urban digital economy has a significant positive impact on urban green total factor productivity. (2) Urban technological-innovation-level and human-capital-structure of play a mediating role in the impact. (3) This impact has regional heterogeneity and resource-based type heterogeneity. The research conclusions are not only valuable supplements to previous research, but also providing reliable instructions for implementing a flexible digital economy policy.

Access to energy and women's human capital in sub-Saharan Africa.

This study examines the link between access to energy and women's human capital by focusing on women's life expectancy and school enrollment. To evaluate this relationship, we take a supranational perspective by using data from a panel of 34 sub-Saharan African countries over a 21-year period from 2000 to 2020. To do so, the ordinary least squares estimation technique applied to a fixed effects specification was adopted. It is found that for the whole sample, access to electricity has a significant positive impact on both life expectancy and school enrollment rates of women. Nevertheless, access to clean fuels and technologies for cooking significantly only impacts women's life expectancy but has no significant effect on women's school enrollment rate. Ultimately, we conclude that access to energy improves women's human capital, with a higher impact on life expectancy than on education. From a policy standpoint, action on both women's life expectancy and school enrollment should prioritize access to electricity. In order to increase women's human capital, governments must give the energy sector priority investment by setting up a grid system or promote the use of renewable energies such as micro-hydro and solar systems.

Assessing a decade of leukaemia-related premature mortality costs: impact on productivity loss in Spain.

INTRODUCTION: Cancer mortality is one of the dominant causes of productivity loss; and within all cancer sites, blood cancer is the fourth most common cause of death in Spain. Thus, its impacts in work productivity are a major concern and represent a high social impact. The aim of this study was to evaluate the productivity losses resulting from of premature deaths due to leukaemia in Spain. METHODS: The productivity costs stemming from premature mortality due to leukaemia were estimated using the human capital method. Information pertaining to mortality rates, typical incomes, and joblessness figures was gathered throughout a decade-long period spanning from 2012 to 2021. RESULTS: Leukaemia caused 40% of haematological malignancies losses. It represented a 3.39% of all cancer-related deaths. In addition, it was responsible for 7,851 years of potential productive life lost (YPLPLL) in 2021, and productivity losses of €4,206.52 million over the 10-year period. All these numbers are relevant for Spain as will help on a more efficient distribution of resource. CONCLUSIONS: These productivity losses obtained, highlight the burden of leukaemia on the Spanish population, providing novel data on the number of deaths, trends and productivity losses for this type of cancer. This evaluation offers fresh insights that can aid policymakers in efficiently distributing resources, thereby lessening the economic burden it imposes on individuals of working age.

Economic burden of suicide deaths in India (2019): a retrospective, cross-sectional study.

Background: India has the highest number of suicide deaths in the world. Suicide prevention requires policy attention and resource allocation. Evidence of economic losses due to disease burden can influence such allocations. We assessed the economic burden and its distribution across states and demographic groups in India. Methods: We used the human capital approach in this retrospective cross-sectional analysis to assess the economic burden of suicide in India for the year 2019 for 28 Indian states and 3 union territories (UTs). We calculated the monetary value for the years of life lost disaggregated by states, age groups, and sexes. For sensitivity, we present a library of estimates using different discount rates, life expectancy thresholds, and estimates specific to the populations that can participate in the workforce. Findings: The national economic burden of suicide was US$ 16,749,079,455 (95% Uncertainty Interval: 11,913,034,910-22,404,233,468). The top three states, Karnataka, Tamil Nadu, and Maharashtra, contributed to 44.82% of the total burden in India. The age group 20-34 years had the largest suicide burden and contributed to 53.05% of the overall national economic burden (US$ 8,885,436,385 [6,493,912,818-11,694,138,884]). Twenty states and UTs had a greater economic burden for females than males. Interpretation: The current analysis ascertains a high economic burden of suicide among the Indian youth and females, necessitating concerted multisectoral efforts and immediate investments. Funding: None.

The cost-of-illness of multiple sclerosis in Jordan.

BACKGROUND: Multiple Sclerosis (MS) imposes a significant financial burden on health-care systems. This study aims to determine the cost-of-illness (COI) for MS in Jordan, a country where data on the economic impact of MS are scarce. METHODS: Data were collected for one year, annual COI was estimated using a cross-sectional snowball sampling design. Eligible patients completed a self-reported questionnaire to provide sociodemographic, physician visit, and diagnostic and laboratory test data. Indirect costs were estimated using an adjusted Human Capital Approach. RESULTS: This study included 383 patients, (73% females, 61% between 26-45). Eighty % took disease-modifying therapies (DMTs), and 40% had relapses in that year. One-third use non-DMTs and equipment for assistance. The average annual cost per patient was $11,719 (direct costs=$11,252, indirect costs=$467). The total annual cost for all participants was $748,299. The estimated cost of non-DMT, medical tools, diagnostic tests, and hospitalization per patient was $53, 51, 99, and 235 respectively. CONCLUSION: High costs of DMTs state the necessity of resource optimization in Jordan public healthcare facilities. Such findings yield policy-informing actionable insights, suggesting strategic investments in more cost-effective DMTs with potential improvement in accessibility and reduction in the overall economic burden faced by both patients and governments.

Can the implementation of the smart city pilot policy improve the social adaptive health and mental health of middle-aged and elderly people? Evidence from China.

With the accelerating pace of population aging in China and the implementation of the smart city pilot policy, whether the middle-aged and elderly population can integrate and adapt to this "smart" society has become an urgent problem that needs to be solved. In this context, exploring the impact of smart city pilot policies on the social adaptation health and mental health of middle-aged and elderly people has become a top priority for China to implement a national strategy to actively respond to population aging. Thus, based on panel data from the China Health and Retirement Longitudinal Study (CHARLS) for the years 2011, 2013, and 2015, this study employs the difference-in-differences (DID) method to investigate whether the smart city pilot policy can improve the social adaptive health and mental health of middle-aged and elderly people and to explore in depth the mechanism of its influence. The study finds that compared with non-pilot cities, the social adaptive health and mental health of middle-aged and elderly people in smart cities improve by 0.6% and 2.2%, respectively. The mechanism effect study shows that the smart city pilot policy can improve the mental health of the middle-aged and the elderly through the use of Information and Communication Technology (ICT) and the enhancement of human capital. Furthermore, for the social adaptive health of middle-aged and elderly individuals, the smart city pilot policy can only make improvements through the enhancement of human capital. Heterogeneity analysis shows that the effect of smart city pilot policies on social adaptive health is more pronounced in the middle-aged group than in the elderly group.

Exploring factors influencing sustainable human capital development: Insights from Saudi Arabia.

This study investigates the critical factors influencing Saudi Arabia's sustainable human capital development. It primarily aims to explore the correlations among the postulated variables and how each variable influences the development of a skilled, adaptable, and socially conscious workforce, in alignment with the objectives of the Saudi Vision 2030. This study utilizes a quantitative approach, employing partial least squares structural equation modeling to analyze the data collected from 203 public personnel in Saudi Arabia through an online questionnaire. The findings reveal that training, community engagement, institutional support, and technology integration are essential in sustainable human capital development. However, learning, education, and access to resources were not statistically significant and did not improve sustainable human capital development in Saudi Arabia. The findings underscore the significance of an educational framework that transcends traditional perspectives, focusing on not only academic preparation but also the holistic development of individuals. This study contributes to understanding how training, community engagement, institutional support, and technology integration are transformative in shaping the future of Saudi Arabia by nurturing a skilled, adaptable, and socially responsible citizenry.

The Nursing Human Capital Value Model.

Nursing's economic value is presently framed within the dominant "outcomes-over-cost" value framework. Within this context, organizations employing nurses often use nursing budget reductions as a cost-minimization strategy, with the intent of retaining high quality outcomes. However, persistent issues such as nurse understaffing, burnout, and turnover threaten healthcare systems' capacity to deliver the quality, equitable, affordable patient care that the public requires. In this paper, we propose a new conceptual model and definition of nursing's economic value. The model development is guided by the convergence of three classic economic frameworks: human capital theory, production theory, and value theory. Grounded in these theories, we envision nursing as a value-adding human capital asset and explicitly link nursing staff characteristics and allocation to the production of healthcare services and organizational financial outcomes. We redefine nursing's economic value as the return on investment (ROI) in nursing human capital reflected in the improvement of consumer, nurse, and organizational outcomes. This new conceptual model, termed the Nursing Human Capital Value Model, presents a cycle of value creation that starts with investments in growing, developing and sustaining an organization's nursing human capital. Nurses, as a human capital asset, deliver nursing care-a foundational ingredient to the production of healthcare services and consumer outcomes. Improved outcomes, subsequently, drive organizational revenue growth. Finally, the accrued revenue is reinvested in nursing, further propelling the cycle's continuation. This innovative model, which is applicable across health systems financed through both governmental and private/non-governmental payor sources, highlights that investment in nursing human capital development is essential for sustainable value generation, identifying opportunities for optimizing nurses' contributions to the value cycle. By directly incorporating economic theories of human capital, production, and value, our model paves the way for future research on the dynamic scope of nursing's economic contribution within healthcare organizations and systems and underscores its necessity for the long-term sustainability and growth of the nursing profession. Tweetable abstract: The economic value of nursing lies in the return on investment in nursing human capital. #nurses #ROI #healthcare.

Income effect of prenatal sunlight exposure: Empirical evidence from China.

Despite a growing interest in the impacts of prenatal factors on adulthood quality of life, economists have not estimated the income effects of sunlight exposures by mothers during pregnancy. This paper estimates such effects using data from China General Social Survey and China National Meteorological Data Service Center. The results show that the income effects of prenatal sunlight exposure in the second trimester are significantly positive. The effects differ for individuals born in different months and the effects are larger for female employees, older employees, those born in rural areas, in the pre-reform period, or whose mothers are less-educated. Finally, we investigate the possible mechanisms via the human capital pathway, discovering that fetuses with longer sunlight exposure in the second trimester are healthier and do more exercises in adulthood. It is suggested that families, communities, policymakers should pay attention to prenatal sunlight exposure, especially for pregnant women in the developing world who are less educated or live in rural areas.

The impact of human capital misallocation on green economy efficiency: Empirical analysis of Chinese urban agglomerations.

This paper uses panel data of 260 prefecture-level cities from 2000 to 2019 to explore spatial characteristics such as spatiotemporal divergence and dynamic convergence based on measuring the level of human capital misallocation in Chinese cities and empirically tests the green development effect of human capital misallocation. The study finds that: ① the human capital misallocation levels of the country and the eight major urban agglomerations show a fluctuating downward trend. ② Divergences in human capital misallocation continue to narrow across the country and urban agglomerations, and the difference between inter-urban agglomerations is the primary source of regional difference. ③ The YRD, PRD, MYR, HC, and CP have significant σ-convergence characteristics of human capital misallocation. Meanwhile, the country and each urban agglomeration show significant spatial absolute ß-convergence and conditional ß-convergence trends. ④ Human capital misallocation significantly negatively affects green economic efficiency, inhibiting green economy efficiency. Therefore, in the future, it is necessary to improve the match between regional industrial structure and human capital allocation through a combination of targeted policy guidance and market mechanisms tailored to local conditions to enhance the efficiency of the green economy. The significance of the study lies in accelerating the accumulation of human capital while realizing the appropriate matching of human capital, releasing the human capital dividend to the maximum extent, and boosting the structural reform of the labor market to realize the transformation of the green economy.

Economic Burden of Sickle Cell Disease in Saudi Arabia.

OBJECTIVE: This study aimed to determine the direct and indirect costs of sickle cell disease (SCD) in Saudi Arabia. METHODS: Data were collected from 217 participants aged ≥18 years in the eastern region of Saudi Arabia, using a prevalence-based cost-of-illness approach. The Institute for Medical Technology Assessment Medical Consumption Questionnaire and Institute for Medical Technology Assessment Productivity Cost Questionnaire were used to assess costs. A multistage process was used, encompassing patient data collection over 3 months, cost calculation from clinic visits and drug prices, and extrapolation for annual estimates. RESULTS: The study revealed substantial societal costs of SCD, with an average per-patient cost of SAR181 899 (US$48 506), covering healthcare and productivity losses. Healthcare costs, including hospitalization, informal care, and medication, averaged SAR80 306 (US$21 415). In addition, productivity costs, including unpaid work and presenteeism, averaged SAR101 594 (US$27 092). Obtaining higher levels of education, such as a diploma and BSc degree or higher, has been found to significantly decrease the costs associated with SCD (P = .016, P = .001). Furthermore, when comparing different employment statuses, students (B = -0.301, P = .058) were found to have marginally lower SCD costs, suggesting that their expenses were lower than those of individuals in other employment categories. The predictive model used in this study explained 11.2% of the variation in costs. CONCLUSION: Our study highlights a significant economic burden of SCD in Saudi Arabia and highlights the need for targeted strategies to alleviate financial challenges and improve patient well-being.

The carbon emission reduction effect of China's national high-tech industrial development zones.

The double carbon goal is a wide and profound economic and social systematic change. It is also crucial to China's sustainable development. How to promote emission reduction, the National High-Tech Industrial Development Zones(NHTDZs) policy is the key to addressing this problem. Based on urban data from 2003 to 2019 from China, this paper uses the multi-time point asymptotic difference method to explore the impact of the NHTDZs establishment on carbon emissions. The establishment of NHTDZs reduces CO2 emissions, which remains valid through robustness tests. The mechanism analysis demonstrated that the construction of NHTDZs reduces CO2 emissions by increasing innovation levels, increasing research expenditures and emphasizing human capital. Further analysis shown that geographic location, initial resource endowment, population size, and level of green finance development are difference in different cities. This provides guidance promoting the development of NHTDZs and future layout.

The SABER School Feeding policy tool: a 10-year analysis of its use by countries in developing policies for their national school meals programs.

Since its launch in 2011, 59 governments have used the World Bank's Systems Approach for Better Education Results (SABER) policy tool to design their national school-based health and nutrition programs. This tool guides governments to self-evaluate their education system policies against international benchmarks and identify actionable priorities to strengthen national programs. Thirty-two of the 49 countries in sub-Saharan Africa (65%) have undertaken a SABER review, and globally the approach has been adopted by 68% of the world's low-income countries and 54% of lower-middle-income countries. Analysis of 51 comparable SABER School Feeding surveys suggests that countries with longer established national school meals frameworks tend also to be more advanced in other policy areas, and vice versa. The SABER reviews consistently identify, perhaps predictably, that the weakest policy areas relate to program design, implementation and fiscal space. This analysis also found that the tool had an additional value in tracking the evolution of policies when implemented over several time points, and showed that policy areas become more advanced as national programs mature. These benefits of the tool are particularly relevant to the 98 countries that co-created the global School Meals Coalition in 2021. The Coalition member countries have the specific goal of enhancing coverage and support for the well-being of schoolchildren and adolescents affected by the school closures during the COVID-19 pandemic. The SABER tool has the demonstrated potential to implement, accelerate and track changes in school meals policy and, since it has been previously used by 74% (31/42) of low- and lower-middle-income countries in sub-Saharan Africa, is an already accepted element of the political economies of those countries and so has the potential to be deployed rapidly.

Toward maritime sustainability in GCC countries: What role do economic freedom and human capital play?

Gulf Cooperation Council (GCC) members have recently experienced rapid environmental degradation. Although there has been a boom in studies investigating the causes of environmental degradation, little is known about the drivers of maritime sustainability. This study examines the impacts of economic freedom and human capital on the fishing grounds footprint in GCC countries between 2000 and 2021. To account for potential heterogeneity and nonnormal distribution of the data, the study implements the Method of Moments Quantile Regression (MMQR). The empirical investigation suggests interesting findings. First, the analysis confirms the Marine Environmental Kuznets Curve across GCC countries, with a turning point of $38,177 per capita. In addition, the population has long-term detrimental effects on the fishing grounds footprint. Economic freedom and financial development have also deteriorated maritime sustainability, but only for low and medium quantiles. These factors are neutral for high levels of maritime degradation. Furthermore, improved human capital contributes to maritime sustainability in the long-run. Finally, the adverse repercussions of economic freedom are reduced by improved human capital and environmental awareness.

Dynamic linkages between human capital, natural resources, and economic growth - Impact on achieving sustainable development goals.

This study examines the impact of economic growth, trade dynamics, natural resources, human capital, and sustainable development from 1990 to 2022. To capture the complexity of these factors, we utilize a Novel Dynamic Semi-parametric Additive Panel model. Additionally, we employ a Dynamic panel thresholds model to explore the sensitivity of natural resources to economic development across various indices, addressing a gap in previous nonlinear technique studies. Our findings diverge from conventional financial development and economic growth theories. While increasing money may boost trade and development, it could hinder sustainable development. Interestingly, the relationship between financial market expansion, economic improvement, and natural resource use follows an inverse "U-shaped" non-linear pattern. Furthermore, the expansion of the financial sector significantly affects the interplay between human capital and natural resources. As thresholds of growth in financial markets rise, economic growth contributes more to sustainable development, mitigating its negative impact. Several implications emerge, particularly regarding minimizing energy deprivation through global economic and developmental strategies.

Leadership Development in Medicine: A Review.

The complex and unique challenges of healthcare require physicians who are competent leaders. Leadership is shaped by complex dynamic processes and various factors. Such factors include intrapersonal (leadership identity, cognitive abilities, and self-leadership) and interpersonal factors (vision and mission development and team building). The purpose of this paper is to review current thinking and advancements in leader and leader development by drawing on the administrative literature and discussing how it may apply to medicine, focusing on the contemporary approaches, challenges, and opportunities in this field. More specifically, this review analyses the intrapersonal and interpersonal development of medical leadership, beginning with a consideration of the current state of medical education and practice. It also covers the current challenges affecting medical leadership, as well as the implications for practice, policy, and research. In this paper, it was found that leader and leadership development are both essential for leader growth and to enhance leaders' competencies and effectiveness. The latter leads to improved organizational performance. The paper also highlights the importance of integrating various methods of teaching and learning to optimize leadership development programs.

The impact of innovative human capital on green growth convergence in China's regions from the perspective of space.

The convergence of green growth is not only very important for the sustainable development of mankind, but also plays a key role in the coordinated development of eastern, Midwest regions of China. The effect of innovative human capital (IHC) on the convergence of regional green growth in China needs to be explored. This paper empirically explores the impact of IHC on the convergence of regional green growth in China from spatial perspective for the first time. Through the regression analysis of the convergence models, three main conclusions are obtained: (1) there are obvious conditional ß space convergence characteristics of green growth among inter-provincial units in China. Under the spatial correlation expressed by distance weights and adjacent weights, the conditional ß space convergence characteristics of green growth are quite different. (2) Compared with the adjacency weight, under the distance weight, the spatial diffusion effect of innovative knowledge and technologies created by IHC is stronger. (3) There is club convergence of green growth in the East and the Midwest regions, and the quantity and quality of IHC in the Midwest region play a stronger role in the convergence of green growth than in the East region. Based on the above conclusions, this paper proposes some policies for the East and Midwest regions.

Carbon emission trading scheme and corporate labor cost: Evidence from China.

In the low-carbon economy era, the impacts of government environmental policies on the corporate labor force have received increasing attention. This study empirically examines the effects of the carbon emission trading scheme (ETS) on corporate labor costs using a sample of Chinese A-share listed companies in the industrial sector from 2007 to 2020. Empirical analysis shows that the ETS significantly increases corporate labor costs, and this finding is further supported by various robustness tests. Further analysis reveals that the ETS primarily affects labor costs by promoting the upgrading of the human capital structure, and the impact of the ETS on labor costs is more significant in enterprises in China's eastern region, those with higher labor intensity, and state-owned enterprises. Additionally, the effects of the ETS on corporate labor costs manifest mainly in the increase in the labor costs of ordinary employees. We contribute to the existing literature by enhancing the current understanding of the policy implications of the ETS and shedding light on the dynamics of corporate labor costs under the low-carbon economy.

Natural Selection Across Three Generations of Americans.

We investigate natural selection on polygenic scores in the contemporary US, using the Health and Retirement Study. Across three generations, scores which correlate negatively (positively) with education are selected for (against). However, results only partially support the economic theory of fertility as an explanation for natural selection. The theory predicts that selection coefficients should be stronger among low-income, less educated, unmarried and younger parents, but these predictions are only half borne out: coefficients are larger only among low-income parents and unmarried parents. We also estimate effect sizes corrected for noise in the polygenic scores. Selection for some health traits is similar in magnitude to that for cognitive traits.