High-income Economies Research Articles

Predictors of adolescent well-being around the globe: are students from Confucian East Asia different?

PurposeUsing rich data from nearly 400,000 15-year-olds across 70 middle- and high-income countries and economies participating in PISA 2018, this study investigates (1) global predictors of adolescent subjective well-being (SWB), and (2) differences in adolescent life satisfaction, its predictors and endowments with predictors across world regions and cultures. A particular focus lies on comparing Confucian East Asia (CEA) with other world regions.MethodsData were analyzed using multiple linear regressions and Blinder-Oaxaca decomposition. As measures of adolescent well-being, this study employs life satisfaction, affective well-being, and meaning in life.ResultsGlobally, adolescent well-being outcomes are found to be most strongly linked to gender, personality, relative SES, relationship quality, peer SWB, autonomy and the learning environment, as well as local cultural factors. Estimations by world region reveal several culture-specific explanations for interregional well-being gaps. In particular, notoriously low levels of life satisfaction among students from CEA countries are found to be associated with low self-efficacy, low peer well-being, as well as with high emotional interdependence compared to other world regions. Emotional interdependence is more strongly experienced among CEA adolescents compared to adolescents from any other world region. Moreover, it is found to be more strongly associated with life satisfaction in the CEA region than in any other region. In line with the former, CEA students show stronger links between other relational factors (parents’ emotional support; sense of belonging at school) and life satisfaction compared to most other regions.ImplicationsThis study suggests that among the environmental factors that shape the experience of adolescent lives, relationship and cultural factors play key roles and are closely intertwined. Parents, educators and policymakers around the world should focus on creating a positive school environment that promotes well-being, student self-efficacy, a sense of belonging, and a safe space in which failure is accepted as part of the learning process. This is particularly needed in Confucian East Asian countries.

Keeping your butter safe: groundwork for a new measure of development

The development of a nation is traditionally measured by GDP per capita, with countries classified as low, lower-middle, upper-middle and high income economies. What is overlooked is that some of the goods consumed by people and part of the GDP, such as barbed wires and private police, are not valued in themselves but are protective measures against crime and corruption, to ensure that goods that are valued are safe. This suggests the need to redefine GDP to measure the true value of what a nation consumes and saves. This paper proposes a new measure and spells out its microeconomic foundation.

What is the Role of Minimum Wages in Addressing Precarious Employment in the Informal and Formal Sectors? Findings from a Systematic Review.

This article presents synthesized evidence from 16 studies examining initiatives with potential to mitigate workers' exposure to precarious employment through the adoption of minimum wage policies. All studies were set in low-income countries and focused on both formal and informal workers. A systematic review of evaluated initiatives addressing precarious employment identified the evidence. We consider minimum wage policies as initiatives that could address precarious employment because of the central role of minimum wages in establishing employment terms for workers in precarious situations. We include initiatives aimed at formal and informal workers, given that precarious employment can exist in both sectors, that these workers share concerns regarding income and would benefit from minimum wage policies. The findings imply that minimum wage policies could increase precariously employed workers' financial compensation, although with some differences and with little or no effect on employment security. It is not feasible to extend these conclusions beyond low-income economies due to differences with high-income economies in how the mechanisms through which minimum wage policies could impact worker compensation and employment security. However, they should serve as a reminder for high-income economies, many of which experience expanding informal sectors, about the need for related research and policy.

Is financial development a prerequisite for the tourism-led growth phenomenon? World-wide evidence

Purpose This study aims to re-examine the growth effects of tourism and role of financial development in this process for countries across the globe for the period 1995–2018. Design/methodology/approach Considering the asymmetric effect of tourism on economic performance, the author makes use of a recently developed method of moments approach of quantile regression with fixed effects proposed by Machado and Silva (2019). Findings Model-based on tourist arrival shows a positive effect of tourism on economic performance. Yet, the effect is conditional and shows that relatively low-income economies are benefited more than high-income economies. The results also show that all types of tourism are beneficial for growth, yet business-related tourist arrivals are found to be comparatively more effective than other types of tourism. The evidence also shows that excess tourism does not dampen growth. Finally, the evidence suggests that financial development offers critical absorptive capacity, and tourism-led growth cannot be realised without it. Originality/value In contrast to previous studies, the approach effectively deals with non-normality, endogeneity and heterogeneity across issues. Furthermore, this study uniquely tests the role of financial development in channelling tourism-led development.

Analyzing the configuration of the National Innovation System for Innovation Capability: evidence from Global Innovation Index reports

National innovation capability (NIC) is an important manifestation of economic development quality and international competitiveness. Previous studies focus mainly on the static impact of factors in the national innovation system on NIC in a given year. Research is still lacking on whether these factors have continuing, stable impacts on NIC in different economies. To fill this literature gap, this study uses fuzzy set qualitative comparative analysis (fsQCA) to conduct cross-economy and cross-year comparisons and discusses how the five elements of the NIS jointly affected the NIC of different economies from 2011 to 2022. The results indicate that the necessity consistency of infrastructure for NIC shows a temporal trend. There are four paths to generating high NIC in high-income economies, but only two such paths for upper middle-income economies. The path combining human capital and research, market sophistication, and business sophistication can drive both types of economies to generate high NIC. The research results have improved the transparency of innovation paths and provided a reference for different economies to achieve sustainable development.

Income inequality and complexity of the productive structure: New evidence at the world level

This paper investigates if the complexity of a country's productive structure can help explain variations in income inequality. We use country panel data on 126 countries from 1995 to 2018 and approximate a country's productive structure through the Economic Complexity Index and income inequality from the World Income Inequality Database. Our results found that the relationship between economic complexity and income inequality is not homogenous across countries and, that at the world level, is not linear. Instead, when the level of complexity of the economy is low, increases in complexity mainly lead to an increase in economic inequality. At higher levels of economic complexity, its effect on income inequality becomes negative. This means that economic complexity improves equality after certain thresholds, which seems to reflect the situation of high-income economies.

Diet affordability: a key dimension in the assessment of sustainable food systems and healthy diets.

A promulgated global shift toward a plant-based diet is largely in response to a perceived negative environmental impact of animal food production, but the nutritional adequacy and economic implications of plant-sourced sustainable healthy dietary patterns need to be considered. This paper reviews recent modeling studies using Linear Programming to determine the respective roles of animal- and plant-sourced foods in developing a least-cost diet in the United States and New Zealand. In both economies, least-cost diets were found to include animal-based foods, such as milk, eggs, fish, and seafood, to meet the energy and nutrient requirements of healthy adults at the lowest retail cost. To model a solely plant-based least-cost diet, the prevailing costs of all animal-sourced foods had to be increased by 1.1 to 11.5 times their original retail prices. This led to the inclusion of fortified plant-based foods, such as fortified soymilk, and a plant-based diet that was considerably (34-45%) more costly. The first-limiting essential nutrients were mostly the vitamins and minerals, with special focus on pantothenic acid, zinc, and vitamin B-12, when transitioning from an animal- and plant-containing least-cost diet to a plant-only based least-cost diet. Modeled least-cost diets based on contemporary food costs include animal-sourced foods, at least for developed high-income US and NZ food economies, and potentially for developing low- and middle-income countries, such as Indonesia. Modeling of least-cost diets that consist exclusively of plant-based foods is feasible, but at a higher daily diet cost, and these diets are often close to limiting for several key nutrients. Diet affordability, as a key dimension of sustainable healthy diets, and the respective economic roles of animal- and plant-sourced foods need to be considered.

Requirements for and Barriers to Rehabilitation Services for Children With Disabilities in Middle- and High-Income Countries: Scoping Review.

The rehabilitation of children with disabilities has received considerable attention from the United Nations. However, the state of rehabilitation services for children with disabilities worldwide remains far from optimistic, even in economically affluent middle- and high-income countries. This scoping review aimed to identify the rehabilitation needs of children with disabilities and their barriers to rehabilitation services in middle- and high-income countries. A systematic search was conducted using MEDLINE and Web of Science for papers published from January 2013 to December 2023. Studies were included if they were peer-reviewed, full-text articles related to children with disabilities, reporting on their access to rehabilitation services, and conducted in countries classified by the World Bank 2023 as middle- and high-income economies. Exclusion criteria included duplicates, unavailable full texts, and studies without distinct outcomes. A total of 27 studies were selected following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, focusing on children, their families, or service providers. The suitability, availability, and affordability of rehabilitation services were identified as the major needs and barriers for children with disabilities in middle- and high-income countries. This included communication barriers, a need for more personnel and facilities, and the stagnation and inadequacy of economic subsidies. Middle- and high-income countries have relatively well-established rehabilitation infrastructure and support systems. They are nevertheless insufficient for meeting the needs of children with disabilities. More attention should be paid to these issues to improve the well-being of children with disabilities. The data provided by this review can help raise awareness of rehabilitation needs and barriers at the policy level.

The middle technology trap: China in a comparative perspective

This article examines the concept of the "middle technology trap" as a critical challenge for China in transitioning from a middle-income to a high-income economy. It argues that overcoming this trap is essential for China to achieve high-quality economic development and sustain its growth momentum. The study compares China's technological landscape with that of both developed economies and those stuck in the middle-income trap, identifying the necessity of transitioning from applied to original technology for economic leapfrogging. Through comprehensive analysis, it is highlighted that China's current technological capabilities, although leading in certain areas, predominantly remain at an intermediate level, characterized by a significant reliance on foreign core technologies and a lack of original technological innovation. The paper further explores historical contexts, policy implications, and strategic reforms required to navigate this trap, emphasizing the importance of an open policy, the cultivation of a robust innovation ecosystem, and the strategic role of government in facilitating technological progress and industrial upgrading. It draws on the experiences of developed economies and successful latecomers, advocating for a "new whole nation system" that embraces openness and global integration, rather than isolation. By analyzing the complex interplay between technology diffusion, talent migration, industrial policies, and the global geopolitical landscape, this study provides insights into the systemic reforms and strategic initiatives China must undertake. It stresses the need for a balanced approach between leveraging external technologies and fostering domestic innovation capabilities to escape the middle technology trap and secure a position as a global technology leader. The findings contribute to the broader discourse on technology-led development strategies and offer policy recommendations for economies facing similar technological and developmental challenges.

Road to perdition? The effect of illicit drug use on labour market outcomes of prime-age men in Mexico

This research addresses the impact of illicit drug use on labour market outcomes of men in Mexico. We leverage statistical information from three waves of a comparable national survey and make use of the Lewbel’s heteroskedasticity-based instrumental variable strategy to deal with the endogeneity of the drug consumption. Our results suggests that drug consumption has fairly negative effects in the Mexican context: it reduces employment, occupational attainment and formality and raises unemployment of local males. These effects seem larger than those estimated for high-income economies.

Artificial intelligence and unemployment dynamics: an econometric analysis in high-income economies

Artificial intelligence and unemployment dynamics: an econometric analysis in high-income economies

Socioeconomic determinants of cognition among older adults in the Brazilian longitudinal study of aging (ELSI-Brazil): a life-course approach.

The prevalence of cognitive impairment no dementia (CIND) and dementia appears to be higher in low- and middle-income countries (LMICs) compared to high-income economies. Yet few nationally representative studies from Latin American LMICs have investigated life-course socioeconomic factors associated with the susceptibility to these two cognitive conditions. Hence, the present study aimed to examine the associations of early- (education and food insecurity), mid- (employment stability), and late-life (personal income and household per capita income) socioeconomic determinants of CIND and dementia among older adults from Brazil, while simultaneously exploring whether sex plays an effect-modifier role on these associations. This population-based study comprised a nationally representative sample of older adults (N = 5,249) aged 60 years and over from the Brazilian Longitudinal Study of Aging (ELSI-Brazil). We fitted multinomial regressions and estimated odds ratios with the respective 95% confidence intervals (CIs). In multivariate analyses, participants with more years of early-life education (0.89, 95% CI [0.81, 0.97]) and mid-life employment stability (0.97, 95% CI [0.96, 0.99]) and higher late-life household per capita income (0.70, 95% CI [0.51, 0.95) were less likely to have dementia. Regarding CIND, more years of mid-life employment stability (0.97, 95% CI [0.96, 0.98]) was the only determinant to confer protection. Notably, secondary sex-based analyses showed the higher the early-life educational attainment, the lower the odds of dementia in women (0.81, 95% CI [0.75, 0.87]) but not in men (1.00, 95% CI [0.86, 1.16]). These findings may have implications for population health and health policy by advancing our understanding of socioeconomic determinants of CIND and dementia, especially in Latin America.

Empirical evidence of the relationship between regulatory efficiency, market openness, and bank productivity in economies at different income levels: Evidence from selected Asian and MENA countries

Research background: Economic freedom plays a pivotal role in ensuring the progressive productivity of banks. It fosters a favorable economic climate and acts as a catalyst for the generation of innovative ideas. In addition, economic freedom allows new domestic and foreign entrants in the banking sector which leads to increased competition as well as wider range of product offerings and thus potentially affect bank efficiency. Purpose of the article: This study aims to identify the effects of regulatory efficiency and market openness in terms of economic freedom on the bank’s productivity at three income levels: lower-middle, upper-middle, and high-income economies. Methods: A sample of 15 countries are included in the study from differing income levels. The study uses the data envelopment analysis (DEA) based Malmquist productivity index (MPI) approach to measure banks’ productivity. This non-parametric approach measures the relative efficiency of banks by considering the production change while taking into account technical efficiency change and technological change in order to capture a comprehensive view over time. Then, regression analysis was performed utilizing the ordinary least squares (OLS) approach, fixed effect (FE), and random effect (RE) panel multiple regression estimation methods are utilized to measure economic freedoms and other determinants’ effect on banks’ productivity change over time. Findings & value added: The results show that banks in high-income economies are more productive and have higher growth rates than those in upper- and lower-income economies. Furthermore, starting, obtaining permits, and closing businesses under business freedom have a detrimental effect on banks’ output, whereas the effects of labor freedom on employing, managing, and supervising staff members have a substantial favorable impact on banks’ productivity. Moreover, financial freedom and investment freedom under the market openness dimension negatively influence banks’ productivity. Government intervention is required to introduce regulations that allow foreign countries to provide labor at lower wages, introduce tax allowances, and control inflation rates. Thus, the empirical results of this study will benefit regulators and policymakers in developing a system and plan to increase banks’ productivity based on indicators of business, labor, financial, and investment freedom.

Unveiling the complex web: exploring the international fossil fuel trade network and its impact on CO2 emissions and trade patterns

PurposeThe purpose of this study is to examine the structure of the international fossil fuel trade network (IFFTN) and assess its effects on CO2 emissions and global trade patterns. This research integrates complex network theory with econometric analysis to explore the dynamics of fossil fuel trade and its implications for environmental quality across various countries. Specifically, the study analyses the roles of different countries within this global network, examines the relationship between trade volumes and environmental impacts and evaluates how advancements in renewable energy generation could mitigate these effects. Through this comprehensive examination, the study seeks to provide an in-depth understanding of the trade-environment nexus.Design/methodology/approachThe study uses data on international fossil fuel trade from 2005 to 2020, which includes 74 countries categorized as high-income, low-income and Asian economies based on their roles in the global market. This research constructs the IFFTN, where countries are depicted as nodes and trade links as edges. The authors analyse network parameters, such as degree, density and clustering coefficient, along with trade metrics like strength and centrality. These parameters are integrated into a panel fixed effects model, with the robustness of the findings confirmed through dynamic ordinary least squares (DOLS) analysis.FindingsThe study finds that the dynamic fossil fuel trade network includes key players such as the USA, China, France, India, the Netherlands and South Korea. It demonstrates increased connectivity and dependence among these countries, directly correlating with higher CO2 emissions. However, this correlation is mitigated by the adoption of renewable energy, particularly in Asia and high-income countries. The impact on environmental quality is mediated through scale, technique and composition effects, suggesting significant environmental improvements through enhanced industry structure, technological progress and economies of scale.Research limitations/implicationsThis study recognizes several limitations. First, the categorization of countries into Asian economies, low-income and high-income groups may oversimplify the intricate effects of economic status on environmental impacts. Second, focusing primarily on per capita CO2 emissions may neglect other critical environmental indicators. Future research should consider examining regional variations and including a wider range of environmental metrics. This approach would offer a more detailed perspective on the nuanced interactions between economic development and environmental sustainability, enhancing the depth and applicability of the findings.Practical implicationsTo address the challenges of the IFFTN and CO2 emissions, several practical policy measures are recommended. Governments should enhance international cooperation by establishing global platforms for sharing best practices and initiating technology transfer agreements to accelerate the adoption of energy-efficient technologies. Additionally, a phased transition towards more sustainable energy sources is crucial, involving increased investment in the renewable energy sector alongside incentives for adopting green technologies. On the trade front, governments should modify trade partnerships to address congestion externalities, fostering a shift towards more sustainable and environmentally friendly trade practices.Social implicationsThe social implications of the IFFTN are profound. As global reliance on fossil fuels continues, communities face heightened health risks due to increased pollution. Transitioning to renewable energy can alleviate these health concerns and the creation of green technologies, enhancing social well-being. Moreover, equitable access to energy-efficient solutions can reduce energy poverty, particularly in low-income countries, fostering greater societal resilience and inclusivity.Originality/valueThis study offers a pioneering examination of the trade-energy nexus across 74 countries, using complex network models to analyse diverse economic settings, particularly in Asian economies dominated by non-renewable energy. It identifies key market players and assesses their impact on dynamics such as congestion and market power. Additionally, the study explores the positive effects of renewable energy capacity on these relationships, highlighting its crucial role in driving sustainable energy transitions and enhancing the understanding of indirect trade-environment interactions.

Uncovering gaps in women's authorship: A big data analysis in academic surgery.

Women are underrepresented in surgical authorship. Using big data analyses, we aimed to investigate women's representation as first and last authors in surgical publications worldwide and identify underlying predictors. We retrieved eligible surgical journals using Scimago Journal & Country Rank 2021. We queried articles indexed in PubMed from selected journals published between January 2018 and April 2022. We used the EDirect tool to extract bibliometric data, including first and last authors' names, primary affiliation country, and publication year. Countries and dependent territories were classified following World Bank income levels and regions. Women's representation was predicted from forenames using the Gender-API software. Citations were included if gender accuracy was ≥80%. We analyzed 210,853 citations containing both first and last authors' forenames, representing 158 countries and 14 territories. Women constituted 23.8% (50,161/210,853) of the first and 14.7% (31,069/210,853) of the last authors. High-income economies had more women as first authors than other income categories (p<0.001), but fewer women as last authors than upper-middle- and lower-middle-income economies (p<0.001). The odds of the first author being a woman were more than three times higher when the last author was also a woman (OR 3.21, 95% CI 3.13-3.30) and vice versa (OR 3.25, 95% CI 3.16-3.34) after adjusting for income level and publication year. Women remain globally underrepresented in surgical authorship. Our findings urge concerted global efforts to overcome identified disparities.

Pilot-scale performance of gravity-driven ultra-high flux fabric membrane systems for removing small-sized microplastics in wastewater treatment plant effluents

The ubiquitous nature and environmental impacts of microplastic particles and fibers demand effective solutions to remove such micropollutants from sizable point sources, including wastewater treatment plants and road runoff facilities. While advanced methods, e.g., microfiltration and ultrafiltration, have shown high removal efficiencies of small-sized microplastics (<150 μm), the low flux encountered in these systems implies high operation costs and makes them less effective in high-capacity wastewater facilities. The issue presents new opportunities for developing cheap high-flux membrane systems, deployable in low-to high-income economies, to remove small-sized microplastic and nanoplastics in wastewater. Here, we report on developing an ultra-high flux gravity-driven fabric membrane system, assessed through a laboratory-scale filtration and large-scale performance in an actual wastewater treatment plant (WWTP). The method followed a carefully designed water sampling, pre-treatment protocol, and analytical measurements involving Fourier transform infrared (FTIR) spectroscopy and laser direct infrared (LDIR) imaging. The result shows that the ultra-high flux (permeance = 550,000 L/m2h⋅bar) fabric membrane system can effectively remove small-sized microplastics (10–300 μm) in the secondary effluent of an actual WWTP at high efficiency greater than 96 %. The pilot system demonstrated a continuous treatment capacity of 300,000 L/day through a 1 m2 surface area disc, with steady removal rates of microplastics. These findings demonstrate the practical, cheap, and sustainable removal of small-sized microplastics in wastewater treatment plants, and their potential value for other large-scale point sources, e.g., stormwater treatment facilities.

Global and regional final point-of-drinking water prevalence of Vibrio pathogens: a systematic analysis with socioeconomic, global health security, and WASH indices-guided meta-regressions

The final point-of-drinking water (FPODW) exposure to Vibrio and waterborne pathogens remains a misaim surveillance target. Therefore, the current study purposed to estimate the global and regional prevalence of Vibrio pathogens in FPODW. Vibrio-FPODW data derived from integrated databases per PRISMA protocol were fitted to a random-intercept-logistic mixed-effects and meta-regression models. The global FPODW Vibrio prevalence was 5.13% (95%CI: 2.24–11.30) with 7.76% (6.84–8.78) cross-validated value. Vibrio prevalence in different FPODW varied with the highest in unclassified (13.98%, 3.98–38.95), household stored (6.42%, 1.16–28.69), municipal (4.39%, 1.54–11.90), and bottled (1.06%, 0.00–98.57) FPODW. Regionally, FPODW Vibrio prevalence varied significantly with highest in Africa (6.31%, 0.49–47.88), then Asia (4.83%, 2.01–11.18). Similarly, it varied significantly among income classification with the highest from low-income (8.77%, 0.91–50.05), then lower-middle-income (6.16%, 2.75–13.20), upper-middle-income (0.23%, 0.00–82.04), and 0.94% (0.19–2.72) in high-income economies. Among the WHO region, it varied significantly from 1.41% (0.17–10.45) in Eastern Mediterranean, 6.31% (0.49–47.88) in Africa to 8.86% (3.85–19.06) in South-East Asia and declining among SDI-quintiles from 11.64% (3.29–33.83) in Low-SDI, 10.59% (4.58–22.61) in High-middle-SDI to 0.26% (0.01–9.09) in Middle-SDI. FPODW Vibrio prevalence was 7.31% (2.94–17.03) in the low-GHSIG, followed by 4.55% (0.00–100.00) in the upper-GHSIG, and 2.21% (0.31–14.24) in middle-GHSIG; rural (4.18%, 0.06–76.17) and urban (5.28%, 2.35–11.44) settings. Also, sample size, SDI, SDI-quintiles, and nation significantly explained 14.12%, 10.91%, 30.35%, and 87.65% variance in FPODW Vibrio prevalence, respectively as a univariate influence. Additionally, 11.90% variance in FPODW Vibrio prevalence explained mortality rate attributed to unsafe WASH services. In conclusion, the study revealed a substantial high FPODW prevalence of Vibrio calling for initiative-taking and intentional surveillances of waterborne pathogens at the neglected stage across nations in order to achieve sustainably the SDG 3.

Multidimensional child poverty in South Korea: developing measures to assess progress towards the sustainable development goals

This article presents the development of a measure to assess the prevalence and patterning of multidimensional child poverty in South Korea. The first goal of UN’s Sustainable Development Goals (SDGs) is to reduce poverty in all its dimensions, and countries are increasingly developing their own measures of multidimensional poverty. This flourishing of different measures presents challenges for international comparisons. The article applies an internationally-validated method of assessing multidimensional poverty to demonstrate its suitability for use in a high-income Asian economy. Multidimensional child poverty is assessed by combining data on child material deprivation with their household income. Using data from the 2018 Korean National Children Survey, we show that child material deprivation is higher (15%) than income poverty (12%). When measured using a combined measure of material deprivation and income, around one in every three children in Korea were found to be either poor or vulnerable to poverty. These findings show that the official monetary poverty measure on its own may understate the percentage of children unable to afford necessities in Korea, as envisioned by international targets like the SDGs. In terms of policy, analysis of individual deprivations suggests that a combination of in-kind benefits such as vouchers for leisure activities or education and asset-building programmes as well as cash transfers are needed for tackling child poverty.

Carbon pricing and system reliability impacts on pathways to universal electricity access in Africa.

Off-grid photovoltaic systems have been proposed as a panacea for economies with poor electricity access, offering a lower-cost "leapfrog" over grid infrastructure used in higher-income economies. Previous research examining pathways to electricity access may understate the role of off-grid photovoltaics as it has not considered reliability and carbon pricing impacts. We perform high-resolution geospatial analysis on universal household electricity access in Sub-Saharan Africa that includes these aspects via least-cost pathways at different electricity demand levels. Under our "Tier 3" demand reference scenario, 24% of our study's 470 million people obtaining electricity access by 2030 do so via off-grid photovoltaics. Including a unit cost for unmet demand of 0.50 US dollars ($)/kWh, to penalise poor system reliability increases this share to 41%. Applying a carbon price (around $80/tonne CO2-eq) increases it to 38%. Our results indicate considerable diversity in the level of policy intervention needed between countries and suggest several regions where lower levels of policy intervention may be effective.

Exploring the Links Between Immigration and Birth Outcomes Among Latine Birthing Persons in the USA.

Birth outcomes are worse for birthing people and infants in the USA than other high-income economies and worse still for underprivileged communities. Historically, the Latine community has experienced positive birth outcomes, despite low socioeconomic status and other socio-political disadvantages, leading to what has been termed as the Hispanic birth paradox. However, this perinatal advantage and protective effect appears to have been shattered by unfavorable policies, structural conditions, societal attitudes, and traumatic events impacting Latine immigrants, leading to negative effects on the health and well-being of birthing Latines-regardless of citizenship status and increasing rates of preterm birth and low birth weight infants. We conducted a comprehensive literature review and identified two pathways through which birth outcomes among Latine birthing persons may be compromised regardless of citizenship status: (1) a biological pathway as toxic levels of fear and anxiety created by racialized stressors accumulate in the bodies of Latines and (2) a social pathway as Latines disconnect from formal and informal sources of support including family, friends, health care, public health programs, and social services during the course of the pregnancy. Future research needs to examine the impact of immigration climate and policies on health and racial equity in birth outcomes among Latines regardless of citizenship status. Attaining health and racial equity necessitates increased awareness among health providers, public health practitioners, and policy makers of the impact of larger socio-political pressures on the health of Latine birthing persons.