Loss Of Labor Productivity Research Articles

Unlocking the power of tobacco taxation to mitigate the social costs of smoking in Mexico: a microsimulation model.

Despite being the most cost-effective tobacco control policy, tobacco taxation is the least implemented component of the World Health Organization MPOWER package to reduce smoking worldwide. In Mexico, both smoking prevalence and taxation have remained stable for more than a decade. This study aims to provide evidence about the potential effects of taxation to reduce the burden of tobacco-related diseases and the main attributable social costs in Mexico, including informal (unpaid) care costs, which are frequently ignored. We employ a first-order Monte Carlo microsimulation model that follows hypothetical population cohorts considering the risks of an adverse health event and death. First, we estimate tobacco-attributable morbidity and mortality, direct medical costs and indirect costs, such as labour productivity losses and informal care costs. Then, we assess the potential effects of a 50% cigarette price increase through taxation and two alternative scenarios of 25% and 75%. The inputs come from several sources, including national surveys and vital statistics. Each year, 63 000 premature deaths and 427 000 disease events are attributable to tobacco in Mexico, while social costs amount to MX$194.6 billion (US$8.5)-MX$116.2 (US$5.1) direct medical costs and MX$78.5 (US$3.4) indirect costs-representing 0.8% of gross domestic product. Current tobacco tax revenue barely covers 23.3% of these costs. Increasing cigarette prices through taxation by 50% could reduce premature deaths by 49 000 over the next decade, while direct and indirect costs averted would amount to MX$87.9 billion (US$3.8) and MX$67.6 billion (US$2.9), respectively. The benefits would far outweigh any potential loss even in a pessimistic scenario of increased illicit trade. Tobacco use imposes high social costs on the Mexican population, but tobacco taxation is a win-win policy for both gaining population health and reducing tobacco societal costs.

Non-optimum temperatures led to labour productivity burden by causing premature deaths: A multi-country study

BackgroundNon-optimum temperatures are associated with a considerable mortality burden. However, there is a lack of evaluation of labour productivity losses related to premature deaths due to non-optimum temperatures. This study aimed to quantify the labour productivity burden associated with premature deaths related to non-optimum temperatures and explore the potential socio-economic vulnerabilities. MethodsDaily all-cause mortality data were collected from 1,066 locations in 7 countries (Australia, Brazil, Canada, Chile, New Zealand, South Korea, and Thailand). Productivity-Adjusted Life-Year (PALY) loss due to each premature death was calculated to measure the labour productivity loss, by multiplying the years of working life lost by the proportion of the equivalent full-time (EFT) workers. A two-stage times series design and the generalized linear regression model with a quasi-Poisson family were applied to assess the association between non-optimum temperatures and the PALY loss due to premature deaths. ResultsWe observed a U-shaped relationship between temperature and PALY lost due to premature mortality. We estimated that 2.51% (95% eCI: 2.05%, 2.92%) of PALY losses could be attributed to non-optimal temperatures, with cold-related deaths contributing 1.26% (95% eCI: 0.94%, 1.54%) and heat-related deaths contributing 1.25% (95% eCI: 0.96%, 1.51%). Cold temperature contributed to the most PALYs lost in those aged 45–54 and 55–64, while heat-related losses predominated among the 15–44 age group. We also observed that the fractions of PALY lost attributed to extreme heat were positively associated with the relative deprivation index, while negatively associated with GDP per capita. ConclusionThis multi-country study highlights that non-optimum temperatures led to a considerable labour productivity loss and socioeconomically disadvantaged communities experience greater losses.

Labour productivity losses from premature death due to alcohol in Spain (2002–2018): Estimation and comparative analysis with tobacco-related estimates

AimTo estimate premature deaths, years of potential labour productivity lost, and productivity losses attributable to alcohol consumption in Spain (2002–2018) and, compare these losses with those from tobacco consumption. MethodsUsing the human capital approach, data on employment, wages and mortality were analysed from national sources. Alcohol-related mortality risks were drawn from the Spanish Ministry of Health. Labour productivity losses were calculated based on working-age mortality (35–64 years), with adjustments for productivity growth and discount rates. Sensitivity analyses were conducted to validate the findings. ResultsBetween 2002 and 2018, premature deaths and productivity losses related to alcohol consumption decreased significantly, with losses declining from 1959 million euros in 2002–936 million euros in 2018, representing a 52.2 % reduction. Although there was also a favourable trend in this area, productivity losses due to tobacco-related deaths amounted to 68.6 %. ConclusionThis study reveals a marked decline in alcohol-related labour productivity losses in Spain over the analysed period. Nevertheless, tobacco and alcohol continue to pose a greater economic burden, highlighting the need for sustained public health efforts targeting both alcohol and tobacco consumption to mitigate productivity losses.

Exposure to ambient PM2.5 and its association with the loss of labor productivity of manufacturing plants in India

Abstract Evidence of the impacts of ambient air pollution on health in India has been expanding. However, the economic impact of air pollution has rarely been explored. Here, we examined the impact of exposure to ambient fine particulate matter (PM2.5) derived from satellite data at 1 km × 1 km resolution on the productivity of the manufacturing plants using a micro-level dataset for the period 2008–2009 and 2009–2010 across 465 districts in India. Using a system generalized methods of moments techniques, we estimated that for every 10% increase in PM2.5 exposure, labor productivity decreases by 14.8% after controlling for the confounding factors. For exposure exceeding the national ambient air quality standard of annual PM2.5 in India (40 μg m−3), the labor productivity decreases by a bigger margin (20%) for the same margin of increase in PM2.5. We found that labor productivity loss due to ambient air pollution was lower for plants using capital-intensive production techniques. The labor productivity in plants with a higher share of blue-collar workers was more sensitive to exposure to PM2.5 as opposed to plants with a higher share of supervisors or managerial staff. This suggests that plant-level managerial skill and capital-intensive production techniques (including expenditure on pollution control and abatement equipment) will be critical in mitigating air pollution-induced labor productivity loss across manufacturing plants in India.

Loss of labor productivity of manufacturing plants in India attributable to air pollution in India

Loss of labor productivity of manufacturing plants in India attributable to air pollution in India

Impact of global warming on labor productivity in the Chengdu-Chongqing economic circle, China

In recent years, the Chengdu-Chongqing Economic Circle (CCEC) has experienced frequent heat events, significantly impacting labor productivity. The CCEC is an important economic growth pole in western China. Therefore, an in-depth study of the impact of heat stress on labor productivity holds great significance for climate change adaptation and enhancing economic efficiency. Based on the relationship between the wet-bulb globe temperature (WBGT) and labor productivity of different industries, the labor productivity loss caused by heat in the CCEC was estimated using the observation data of the meteorological station and the projection results of the BCC-CSM2-MR model from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The results showed that the impact of heat on the labor productivity of different industries in the CCEC mainly occurs from June to August, with the largest impact on agriculture, followed by industry, and the smallest impact on service sectors. Losses from heat stress to labor productivity in agriculture, industry, and services showed a significant increasing trend from 1980 to 2020 but a decreasing trend in comprehensive labor productivity loss. From 2020–2100, labor productivity losses in different industries due to heat stress show an increasing and then decreasing trend in the low emissions scenario, productivity losses in the medium emissions scenario are characterized by an increasing and then sustained change, and labor productivity losses in the high emissions scenario show a sustained increasing trend from 2020. By the end of the 21st century, the increase in labor productivity losses across different industries under the high emission scenario is approximately 15%–23%, and the large value center shifts slightly to the west. In most areas, the losses of agricultural, industrial, service, and comprehensive labor productivity exceed 45%, 32%, 20%, and 24%, respectively.

Understanding climate damages: Consumption versus investment

Existing climate-economy models assume climate change has equal impacts on the productivity of firms that produce consumption and investment goods and services. We develop a model of structural change to show that the split between damage to consumption and investment productivity matters for the aggregate consequences of climate change. When investment is more vulnerable to climate, we find smaller short-run consumption losses than leading models suggest, but larger long-run consumption losses. We provide a quantitative illustration of these effects for one type of climate damage in the US economy: labor productivity losses from heat stress. We find that accounting for heterogeneous damages increases the welfare cost of the climate damage from heat stress by approximately 4 to 23%, depending on the discount factor.

Substantial increase of heat-induced labor and economic loss in China under rapid economic and environmental temperature growth

Exposure to heat stress causes diminished work performance and leads to economic loss. In the last two decades, China has experienced both rapid economic development and environmental warming; however, the spatiotemporal variations of association between environmental heat and labor loss have been rarely investigated behind this double impact. Here, we evaluated the variation in China's heat-induced labor productivity loss and related economic cost from 2001 to 2019 and investigated the effect of economic development and regional warming. We found that decline in labor productivity because of heat stress increased significantly (p < 0.05 for heavy-intensity work), and the corresponding economic loss also exhibited a drastic increase by 6- to 9-fold. The relative economic loss showed a slight but nonsignificant increase with an average value of 0.54% of the annual total earnings. At the sub-regional and sectoral level, adverse effects were more prominent in the southeast region, and the secondary industry sectors, such as construction and manufacturing, contributed to larger proportions of economic losses. The transformation of industrial structure made economic sectors more vulnerable to heat exposure, and increasingly preventive effects of air-conditioning use were noted on economic damage due to heat-induced productivity decline (36.0% relative economic benefits in 2019 compared to 9.7% in 2001). Our findings could provide a deep insight into heat burden on occupational health and heat adaptation strategies regionally under climate change, especially in developing areas with higher temperature and humidity environment.

Burden of Disease Study of Patients with Neovascular Age-Related Macular Degeneration in Spain.

Neovascular age-related macular degeneration (nAMD) is a progressive retinal disease that causes severe and irreversible vision loss. The disease can therefore have a significant impact on the life of patients' and their families. The aim of this study was to evaluate the socio-economic burden of nAMD in Spain. The annual cost per patient with nAMD was estimated for the first, second, and third year (or beyond) of treatment since diagnosis. Several cost categories were considered including direct healthcare costs (DHC), direct non-healthcare costs (DNHC), labor productivity losses (LPL), and intangible costs (IC) related to loss of quality of life. The average annual cost per patient was estimated by assigning a unit price or financial proxy to the resources consumed per patient. Reference year of costs was 2021. The mean annual cost of nAMD was estimated at €17,265, €15,403, and €14,465 per patient in the first, second, and third year of treatment after diagnosis. There was an additional one-off cost of €744 associated with the diagnosis of nAMD. DHC accounted for most of the total annual cost per patient independent of the year of treatment since diagnosis (48% in year1; 42% in year2; 39% in year3). Similarly, DNHC had an important contribution to the total costs (32% in year1; 35% in year2; 37% in year3), followed by IC (20% in year1; 23% in year2; 24% in year3), while the contribution of patients' LPL was minimal. This study estimated a high economic burden associated with nAMD for patients and their families, the healthcare system, and society at large. There is a need to improve the management of these patients to reduce the impact of nAMD disease progression.

Burden of Disease Study of Patients with Diabetic Macular Oedema in Spain.

Diabetic macular oedema (DMO) is a complication of diabetic retinopathy that can result in vision loss. The disease can impact different spheres of a patient's life, including physical and psychological health, work, and activities of daily living, entailing an important use of healthcare and non-healthcare resources. This study aimed to estimate the socio-economic burden of DMO in Spain. The burden of DMO was estimated from a societal perspective, per patient, year of treatment since diagnosis, and type of treatment. Four categories were considered: direct healthcare costs (DHC), direct non-healthcare costs (DNHC), labour productivity losses (LPL), and intangible costs (IC) associated with loss of quality of life. Average annual costs were calculated by multiplying the resources used per patient by their corresponding unit price (or financial proxy). For a more accurate estimation, differences in resource use between treatments (intravitreal anti-vascular endothelial growth factor injections of ranibizumab or aflibercept, and intravitreal dexamethasone implants) and year since diagnosis (first, second, and third year or beyond) were considered and presented separately. The reference year for costs was 2021. The average annual costs of DMO in the first year of treatment after diagnosis was estimated at €18,774, €17,512, and €16,188 per patient treated with ranibizumab, aflibercept, and dexamethasone, respectively. This burden would be reduced to €15,783, €15,701, and €12,233 in the second year, and to €15,119, €15,043, and €12,790 in the third year, respectively. Diagnosis of DMO entails an additional one-off cost of €485. DHC accounted for the greatest proportion of total annual costs per patient, independent of the year, with LPL also making an important contribution to total costs. The socio-economic impact of DMO on patients, the healthcare system, and society at large is substantial. The constant increase in its prevalence accentuates the need for planning and implementation of healthcare strategies to prevent vision loss and reduce the socio-economic burden of the disease.

Discovering the sustainable development role of fintech credit and the pilot low carbon project on greenwashing in China

AbstractLow-carbon development is important to reduce global warming, allow people to live in normal temperatures and climates, and limit the loss of labor productivity by avoiding air pollution. However, greenwashing prevents low-carbon development by making companies appear more eco-friendly than they are. Therefore, this study examines the influence of financial technology (FinTech) credit and the implementation of the Pilot Low Carbon Project on corporate greenwashing in China from 2015 to 2021. The study uses the method of moment quantile regression (MMQR) to determine that FinTech credit and low- carbon projects prevent greenwashing behavior and promote environmentally sustainable corporate practices in China. Fintech plays a crucial role in monitoring the environmental impact of urban development, especially in the context of the Low Carbon City Initiative. The influence of Fintech Credit on greenwashing experiences a notable reduction in the higher quantiles, especially between the 75th and 95th culminating in a significant decrease to approximately − 0.07. Companies outside the low carbon city areas consistently experience a negative impact of Fintech Credit on greenwashing. This investigation contributes significantly to the discourse on the interplay between greenwashing, FinTech and sustainable urban development. It also provides valuable insights for the development of strategies aimed at mitigating misleading environmental claims made by companies.

Global supply chains amplify economic costs of future extreme heat risk

Evidence shows a continuing increase in the frequency and severity of global heatwaves1,2, raising concerns about the future impacts of climate change and the associated socioeconomic costs3,4. Here we develop a disaster footprint analytical framework by integrating climate, epidemiological and hybrid input–output and computable general equilibrium global trade models to estimate the midcentury socioeconomic impacts of heat stress. We consider health costs related to heat exposure, the value of heat-induced labour productivity loss and indirect losses due to economic disruptions cascading through supply chains. Here we show that the global annual incremental gross domestic product loss increases exponentially from 0.03 ± 0.01 (SSP 245)–0.05 ± 0.03 (SSP 585) percentage points during 2030–2040 to 0.05 ± 0.01–0.15 ± 0.04 percentage points during 2050–2060. By 2060, the expected global economic losses reach a total of 0.6–4.6% with losses attributed to health loss (37–45%), labour productivity loss (18–37%) and indirect loss (12–43%) under different shared socioeconomic pathways. Small- and medium-sized developing countries suffer disproportionately from higher health loss in South-Central Africa (2.1 to 4.0 times above global average) and labour productivity loss in West Africa and Southeast Asia (2.0–3.3 times above global average). The supply-chain disruption effects are much more widespread with strong hit to those manufacturing-heavy countries such as China and the USA, leading to soaring economic losses of 2.7 ± 0.7% and 1.8 ± 0.5%, respectively.

The Public Health and Economic Impact of Drug Overdose Out-of-Hospital Cardiac Arrest in the United States

Objective To calculate disability-adjusted life years (DALY) and labor productivity loss due to drug overdose out-of-hospital cardiac arrest (DO-OHCA) and compare its contribution to the burden of disease and economic impact of all-cause nontraumatic out-of-hospital cardiac arrest (OHCA) in the US. Methods We performed a retrospective observational cohort analysis of all adult (age ≥18 years) nontraumatic emergency medical services-treated OHCA events, including those due to DO-OHCA, from the national Cardiac Arrest Registry to Enhance Survival (CARES) database from January 1, 2017 and December 31, 2020. The main outcome measures of interest were disability-adjusted life years, annual, and lifetime labor productivity loss over the 4-year study period. The findings for the study population were extrapolated to a national level using the CARES population catchment and U.S. population estimates by year. Results A total of 378,088 adult OHCA events, including 23,252 DO-OHCA (6.2%) met study inclusion criteria. The DO-OHCA DALY increased from 156,707 in 2017 to 265,692 in 2020. Per year, DO-OHCA contributed to 11.4%, 12.0%, 10.5%, and 11.4% of all OHCA DALY lost from 2017-2020, respectively. The mean annual and lifetime productivity losses for all OHCA were stable over time (annual: $47K in 2017 to $50K in 2020; lifetime: $647K in 2017 to $692K in 2020). The CARES population catchment increased by 39.8% over the study period (102.6 M in 2017 to 143.4 M in 2020). For DO-OHCA, the mean annual productivity loss was approximately 30% higher than non-DO-OHCA ($64K vs. $49K in 2020, respectively). The mean lifetime productivity loss for DO-OHCA was 2.5 times higher than non-DO-OHCA ($1.6 M vs. $630K in 2020, respectively). Conclusions The DALY due to DO-OHCA has increased over time with expansion of the CARES dataset, but its relative contribution to total OHCA DALY (all non-traumatic etiologies) remained fairly stable. The DO-OHCAs represent approximately 6% of all adult non-traumatic EMS-treated OHCA events but has a disproportionately greater economic impact. Continued efforts to reduce DO-OHCA through public health initiatives are warranted to lessen the societal impact of OHCA in the U.S.

Economic burden of chronic obstructive pulmonary disease in Morocco: a cost of illness study.

Chronic obstructive pulmonary disease (COPD) carries an important economic burden worldwide. However, the cost of this disease in Morocco is not well explored. This study aimed to estimate the economic cost associated with COPD in Morocco and identify its determinants. A cost of illness, prevalence-based study using a bottom-up approach method, including COPD patients, was carried out in 2021-2022. The cost was estimated from a societal perspective, and the time horizon was 1 year. Data collection was performed using a questionnaire including socio-demographic, clinical data, and utilization of health care resources in 2019: hospitalization, medical tests, medications, and medical visits. Direct health cost (DHC) was estimated by multiplying the use of health services by the official prices (unit costs) published by the National Agency for Health Insurance. The indirect cost (IC) represented by labor productivity losses was calculated using the human capital method. Costs were compared according to different socio-demographic and clinical factors. We included 159 patients; 82.4% were men, 80.4% were current or former smokers, and 78.7% were categorized as "high-risk" groups (grades C-D). The DHC was estimated at $1816.6 per patient per year. Pharmaceutical and hospitalization costs represented the highest part of the total DHC (42.5% and 22.1%, respectively). The IC was estimated at $709.5±1081.3 per patient per year. DHC increased with increasing disease severity and with the number of severe exacerbations (p<0.001). Current and former smokers were more costly to the healthcare system than nonsmokers (p=0.029). IC also increased with the number of severe exacerbations (p=0.003). In this study, we showed that COPD in Morocco generates important costs for the health system, mainly related to smoking and the severity of the disease. It is therefore important to strengthen tobacco control measures in our country.

The uneven impacts of climate change on China's labor productivity and economy

Climate change is considered to increase economic costs by worsening heat-related labor productivity loss. While extensive global and national research has been conducted on this topic, few studies have analyzed subnational and individual economic impacts, potentially weakening local governments’ motivation to tackle climate change. Figuring out the most affected regions and labors could help climate policymakers to identify priority regions and sectors to allocate adaptation resources efficiently, and enhance stakeholder engagement. This study adopted a provincial Computable General Equilibrium model by distinguishing different labors and regions in modelling work to address the aforementioned gap. The study estimated economic costs at different level under three climate change scenarios (lower (SSP126), middle (SSP245), and higher (SSP585) warming scenario). Low-income regions located in southwest part of China (such as Guangxi and Guizhou), would experience the largest economic loss, 3.4–7.1 times higher than high-income in China by 2100 under SSP245 scenario. Additionally, wages for labors highly sensitive to heat in these regions are expected to rise, for example, by an 8.3% rise in Guangxi, driven by the rising demand for these labors. Conversely, others would experience a significant wage decrease, especially those with less sensitivity (e.g., managers). Therefore, we recommended that national financial supports be allocated more to these most affected regions and that government encourage managers provide assistance to workers vulnerable to heat.

Economic consequences of climate change impacts on South Asian agriculture: A computable general equilibrium analysis

AbstractSouth Asia is one of the most vulnerable regions of the globe in terms of climate change, with agriculture the most affected economic sector of the region. This study employs an environmental Global Trade Analysis Project model to simulate the impact of an average global 2°C temperature increase by 2050, with a focus on South Asian countries. The economic costs of climate change in relation to crop productivity losses due to increasing temperature, land productivity losses caused by rising sea levels and heat stress‐induced agricultural labour productivity losses are assessed based on model simulations. The results show that the unfavourable climate change impacts on agricultural productivity (crop, land and labour) will reduce food production and create upward pressure on food prices. This will lead to a reduction in food consumption at the household level, threatening future food security in the region. The results further predict a contraction in all South Asian economies by 2050, due to adverse climate change impacts on the agricultural sector. In addition, out of the three climate change damage factors considered, labour productivity causes the greatest economic losses, while land productivity losses caused by rising sea levels impact the least. The study also found that low‐income countries would suffer most severely due to the impacts of climate change on the agricultural sector, while high‐income countries would be impacted the least.

Cost of Patients with Alzheimer's Disease in Spain According to Disease Severity.

Alzheimer's disease (AD) has been associated with great healthcare and non-healthcare resource consumption. The aim of this study was to estimate the burden of AD in Spain according to disease severity from a societal perspective. A self-administered questionnaire was designed by the researchers and completed by the informal caregivers of patients with AD, reporting data on themselves as caregivers and on the AD patients for whom they care. The patients' sociodemographic and clinical data, their healthcare and non-healthcare resource consumption in the previous 12 months, and the impact of the disease on labor productivity were compiled. Data collected on informal caregivers included sociodemographic data and the impact of caring for a person with AD on their quality of life and labor productivity. Costs were estimated by multiplying the number of consumed resources by their unit prices. The cost of informal care was assessed using the proxy good method, and labor productivity losses were estimated using the human capital method. Costs were estimated by disease severity and are presented per patient per year in 2021 euros (€). The study sample comprised 171 patients with AD aged 79.1 ± 7.4 years; 68.8% were female, time from diagnosis was 5.8 ± 4.1 years, diagnosis delay was 1.8 ± 2.3 years, and the mean Cumulative Illness Rating Scale-Geriatric (CIRS-G) total was score 8.2 ± 6.0. According to disease severity, 14% had mild cognitive impairment or mild AD, 43.9% moderate AD, and 42.1% severe AD. The average annual cost per patient was €42,336.4 in the most conservative scenario. The greatest proportion of this cost was attributed to direct non-healthcare costs (86%, €36,364.8), followed by direct healthcare costs (8.6%, €3647.1), social care costs (4.6%, €1957.1), and labor productivity losses (less than 1%, €367.4). Informal care was the highest cost item, representing 80% of direct non-healthcare costs and 69% of the total cost. The total direct non-healthcare cost and total cost were significantly higher in moderate to severe disease severities, compared to milder disease severity. AD poses a substantial burden on informal caregivers, the national healthcare system, and society at large. Early diagnosis and treatment to prevent disease progression could reduce this economic impact.

Recommendations Emerging from Carbon Emissions Estimations of the Society for Neuroscience Annual Meeting.

The annual Society for Neuroscience (SfN) meeting yields significant, measurable impacts that conflict with the environmental commitment of the Society and the Intergovernmental Panel on Climate Change (IPCC) recommendations to address the climate emergency (IPCC, 2018). We used 12,761 presenters' origins, two online carbon calculators, and benchmark values to estimate 2018 meeting-related travel, event venue operations, and hotel accommodation emissions. Presenters' conference travel resulted in between 17,298 and 8690 tons of atmospheric carbon dioxide (t CO2), with or without radiative forcing index factors. Over 92% of authors traveled by air and were responsible for >99% of total travel-related emissions. Extrapolations based on 28,691 registrants yielded between 69,592.60 metric tons of carbon dioxide equivalents (t CO2e) and 38,010.85 t CO2 from travel. Comparatively, authors' and registrants' hotel accommodation emissions equaled 429 and 965 t CO2e, whereas operation of the San Diego Convention Center equaled ∼107 t CO2e. We relate SfN meeting-related emissions to potential September Arctic Sea ice loss, labor productivity loss in lower-income equatorial countries, and future temperature-related deaths. We estimate emissions reductions of between 23% and 78% by incentivizing between 10% and 50% of the most distant registrants to attend virtually or connecting between two and seven in-person hubs virtually. Completely virtual meetings may yield a reduction of >99% relative to centralized in-person meetings and increase participation of women, queer and transgender scientists, and scientists from low- and middle-income countries. We strongly recommend adopting alternative meeting modes such as four or more in-person global hubs connected virtually by 2030 and fully virtual by 2050.

Shifting summer holidays in Spain as an adaptation measure to climate change

This paper assesses whether moving summer holidays to the warmest period of the year in Spain could be a useful climate change adaptation strategy. While the most popular period for Spanish summer holidays has traditionally been August, we illustrate that the second half of July is the hottest period of the year and when the negative effects of high temperatures are most pronounced. If the holiday period in the second fortnight of August was moved to the second fortnight of July, some of the associated impacts would be mitigated due to the reduced anthropogenic activity during non-working days. In particular, we find a significant reduction in the annual peak of labour productivity loss (~25 %) and, to a lesser extent, of electricity demand and near-surface ozone concentrations (~3–4 %). Finally, we also show that global warming could lead to enhanced differences between both fortnights (even with no change in the seasonal cycle of temperature) because of the non-linear relationships between temperature and its impacts. Therefore, the positive effect of shifting holidays would be even larger in the coming future.

The health, economic and social burden of smoking in Argentina, and the impact of increasing tobacco taxes in a context of illicit trade.

Tobacco tax increases, the most cost-effective measure in reducing consumption, remain underutilized in low and middle-income countries. This study estimates the health and economic burden of smoking in Argentina and forecasts the benefits of tobacco tax hikes, accounting for the potential effects of illicit trade. Using a probabilistic Markov microsimulation model, this study quantifies smoking-related deaths, health events, and societal costs. The model also estimates the health and economic benefits of different increases in the price of cigarettes through taxes. Annually, smoking causes 45,000 deaths and 221,000 health events in Argentina, costing USD 2782 million in direct medical expenses, USD 1470 million in labor productivity loss costs, and USD 1069 million in informal care costs-totaling 1.2% of the national gross domestic product. Even in a scenario that considers illicit trade of tobacco products, a 50% cigarette price increase through taxes could yield USD 8292 million in total economic benefits accumulated over a decade. Consequently, raising tobacco taxes could significantly reduce the health and economic burdens of smoking in Argentina while increasing fiscal revenue.