• Energy Research
• 1. No poverty close
• 3. Good health close
• GB close
• PK close
• University of Oxford close

Nearly three billion people in low- and middle-income countries (LMICs) rely on polluting fuels, resulting in millions of avoidable deaths annually. Polluting fuels also emit short-lived climate forcers and greenhouse gases (GHGs). Liquefied petroleum gas (LPG) and grid-based electricity are scalable alternatives to polluting fuels but have raised climate and health concerns. Here, we compare emissions and climate impacts of a business-as-usual household cooking fuel trajectory to four large-scale transitions to gas and/or grid electricity in 77 LMICs. We account for upstream and end-use emissions from gas and electric cooking, assuming electrical grids evolve according to the 2022 World Energy Outlook’s “Stated Policies” Scenario. We input the emissions into a reduced-complexity climate model to estimate radiative forcing and temperature changes associated with each scenario. We find full transitions to LPG and/or electricity decrease emissions from both well-mixed GHG and short-lived climate forcers, resulting in a roughly 5 millikelvin global temperature reduction by 2040. Transitions to LPG and/or electricity also reduce annual emissions of PM2.5 by over 6 Mt (99%) by 2040, which would substantially lower health risks from Household Air Pollution. Primary input data was collected from the following sources: Baseline household fuel choices - WHO household energy database (https://www.nature.com/articles/s41467-021-26036-x) End-use emissions - US EPA lifecycle assessment of household fuels (https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=339679&Lab=NRMRL&simplesearch=0&showcriteria=2&sortby=pubDate&timstype=Published+Report&datebeginpublishedpresented) Upstream emissions - Argonne National Labs GREET Model (https://greet.es.anl.gov/index.php) Current and future population estimates - UNECA (http://data.un.org/Explorer.aspx?d=EDATA) Input data was processed by defining household fuel choice scenarios, estimating national household fuel consumption based on these scenarios, and applying fuel-specific emission factors to create country-specific emission pathways. These emission pathways were input into the FaIR model (https://zenodo.org/record/5513022#.Yt_jfHbMLb0) which generated additional data for each scenario including time series of pollution concentrations, radiative forcing, and temperature changes. All data is provided in CSV format. Nothing proprietary is required. 

Abstract: Five groups of NMRI mice were fed ethanol or sucrose in a nutritionally adequate liquid diet for 9 days. The dietary fat consisted of olive oil with the fatty acid composition 18:1 77%, 18:2 10%, 18:0 and 16:0 12%. The ethanol treated groups received 5% w/v ethanol (E) or isocaloric sucrose (S). Two groups (S‐ and E‐) received the diet without supplement. In two groups (S+ and E +) 7% of the fat was exchanged for arachidonic acid (20:4). In a fifth group (IE +) treated with ethanol and arachidonic acid the diet also contained indomethacin (10 mg/1). The mean intake of ethanol was about 20 g/kg/day. After 9 days animals were killed and liver lipids analyzed after Folch extraction. The post mortem accumulation of prostaglandin E2 in the kidney was measured by GC‐MS. Dietary 20:4 was found to protect mice against fatty liver caused both by a high fat diet alone and in combination with ethanol. The liver triglycerides were 30.7 + 4.3 (S ‐), 46.1+6.9 (E ‐), 6.8 + 0.4 (S +) and 19.4 ±1.8 (E +). Prostaglandin levels in the kidney were depressed by ethanol treatment. Indomethacin gave variable degrees of PG synthesis inhibition. The degree of liver triglyceride accumulation in the IE+ group was inversely propotional to the degree of PG synthesis. The data suggest a role for liver 20:4 cyclooxyganase metabolites in fatty liver caused by high fat diets and ethanol.

Transit-Oriented Development (TOD) is advocated for achieving sustainable transportation through development around transit stations. TOD’s global implementation revealed varied outcomes, with many cities failing to achieve the intended objectives. TOD implementation in the Jakarta Metropolitan area still in its infancy. Through a geospatial information system and a survey of 400 commuters who live inside the 1 km radius of planned TOD, this longitudinal study aimed to examine an eight-year lapse between 2013 and 2020 of changes in two aspects, specifically land-use and spatial distribution as well as commuters’ travel behavior and preferences in TOD implementation and travel changes due to the COVID-19 pandemic. Key findings are as follows: increased diversity in the residential function around planned TOD areas in the Jakarta capital and a decrease in the suburbs, reflecting the commuters’ improved readiness to reside in planned TOD areas. Furthermore, kinship relations were the commuters’ main reason when selecting house locations, with no capacity to change their workplaces. A significant increase in public facilities at the expense of green open space (GOS) indicates that TOD implementation was conducted by the government with the sole authority to manage GOS, lacking private sector involvement. The cost factor was the most dominant reason for the commuter’s use of public transportation, instead of new transport modes such as MRT and LRT. Moreover, the commuter’s travel behavior in all studied transit stations, whilst it showed evidence of changes in time and frequency, was not greatly influenced by the COVID-19 related restrictions.

Alcohol-related trauma remains high among underserved patients despite ongoing preventive measures. Geographic variability in prevalence of alcohol-related injury has prompted reexamination of this burden across different regions. We sought to elucidate demographic and socioeconomic factors influencing the prevalence of alcohol-related trauma among underserved patients and determine alcohol effects on selected outcomes.A retrospective analysis examined whether patients admitted to a suburban trauma center differed according to their blood alcohol concentration (BAC) on admission. Patients were stratified based on their BAC into four categories (undetectable BAC, BAC 1-99mg/dL, BAC 100-199mg/dL, and BAC ≥ 200mg/dL). T-tests and X2 tests were used to detect differences between BAC categories in terms of patient demographics and clinical outcomes. Multivariate linear and logistic regressions were used to investigate the association between patient variables and selected outcomes while controlling for confounders.One third of 738 patients analyzed were BAC-positive, mean (SD) BAC was 211.4 (118.9) mg/dL, 80% of BAC-positive patients had levels ≥ 100mg/dL. After risk adjustments, the following patient characteristics were predictive of having highly elevated BAC (≥200mg/dL) upon admission to the Trauma Center; Hispanic patients (adjusted odds ratio (OR)=1.91, 95% confidence interval (CI): 1.14-3.21), unemployment (OR=1.74, 95% CI: 1.09-2.78), Medicaid beneficiaries (OR=3.59, 95% CI: 1.96-6.59), and uninsured patients (OR=2.86, 95% CI: 1.60-5.13). Patients with BAC of 100-199mg/dL were likely to be more severely injured (P=0.016) compared to undetectable-BAC patients. There was no association between being intoxicated, and being ICU-admitted or having differences in length of ICU or hospital stay.Demographic and socioeconomic factors underlie disparities in the prevalence of alcohol-related trauma among underserved patients. These findings may guide targeted interventions toward specific populations to help reduce the burden of alcohol-related injury.

The relative biological effectiveness (RBE) varies along the treatment field. However, in clinical practice, a constant RBE of 1.1 is assumed, which can result in undesirable side effects. This study provides an accurate overview of current clinical practice for considering proton RBE in Europe.A survey was devised and sent to all proton therapy centres in Europe that treat patients. The online questionnaire consisted of 39 questions addressing various aspects of RBE consideration in clinical practice, including treatment planning, patient follow-up and future demands.All 25 proton therapy centres responded. All centres prescribed a constant RBE of 1.1, but also applied measures (except for one eye treatment centre) to counteract variable RBE effects such as avoiding beams stopping inside or in front of an organ at risk and putting restrictions on the minimum number and opening angle of incident beams for certain treatment sites. For the future, most centres (16) asked for more retrospective or prospective outcome studies investigating the potential effect of the effect of a variable RBE. To perform such studies, 18 centres asked for LET and RBE calculation and visualisation tools developed by treatment planning system vendors.All European proton centres are aware of RBE variability but comply with current guidelines of prescribing a constant RBE. However, they actively mitigate uncertainty and risk of side effects resulting from increased RBE by applying measures and restrictions during treatment planning. To change RBE-related clinical guidelines in the future more clinical data on RBE are explicitly demanded.

Climate policy requires that much of the world’s reserves of fossil fuels remain unburned. This paper makes the case for implementing this directly through policy to close the global coal industry. Coal is singled out because of its high emissions intensity, low rents per unit value, local environmental costs, and sheer scale. Direct supply policy—the sequenced closure of coal mines—may lead to less policy leakage (across countries and time) than other policies based on demand or price management. It also has the advantage of involving relatively few players and leading to clear-cut and observable outcomes. Appropriately sequenced closure of the world coal industry could, we suggest, create the moral force needed to mobilize collective international action.

Given the devastating effects of global warming, the problem of human-induced climate change, and in particular carbon dioxide emissions, has been high on the global policy agenda. In this study, we examine the relationship between national culture, carbon dioxide emissions, and economic growth in the framework of the Environmental Kuznets Curve (EKC). Applying system GMM panel estimator across 69 developed and developing countries, we confirm the existence of EKC and show that culture significantly affects the income-emission relationship. Moreover, the effects of the six cultural dimensions on EKC can be collapsed into two: (i) masculinity, power distance and indulgence move the EKC upward and shift the income turning point to the left; and (ii) individualism, uncertainty, and long-term orientation move the EKC downward while shifting the income turning point to the right. The impact of culture on EKC remains also robust for alternative specifications. Future policy and global initiatives in sustainable development should incorporate the multidimensional impact of culture on national behavior towards environment and economic growth, a relationship that has been largely ignored in economic decision-making models.

A major issue is whether the implementation of China’s green credit policy will affect the coordinated development of corporate sustainable operations and environmental protection. This paper used a propensity score matching—difference-in-differences (PSM-DID) model to analyse the impact of China’s green credit policy implemented in 2012 on the maturity mismatch risk between investment and financing in polluting and non-polluting companies. We found that: (1) green credit policies can help reduce the risk of maturity mismatch between investment and financing for polluting companies; (2) the reduction of short-term bank credit is the main way to curb the risk of maturity mismatch risk between investment and financing; (3) the green credit policy has no obvious mitigation effect on the risk of maturity mismatch between investment and financing among polluting companies with environmental protection investment; (4) the mitigation effect of the green credit policy on the maturity mismatch risk is more significant in state-owned polluting companies and polluting companies in areas with a lower level of financial development. The empirical results show that China’s green credit policy helps stimulate the environmental protection behaviour of companies, as well as helping alleviate the capital chain risk caused by the maturity mismatch between investment and financing. In addition, despite the effect of heterogeneity, it can solve the contradiction between environmental protection and economic development.