Impacto del riesgo de bancarrota y la competencia en la rentabilidad del sistema bancario iraní utilizando el indicador BOONE: método generalizado de momentos

The purpose of this study is to investigate the question that how is the impact of bankruptcy risk and improving competitive conditions on the profitability of commercial banks. We have studied the balance sheet information of 30 commercial banks, which include all Iranian banks, during the period 2006-2017. In this paper, the BOONE indicator is used to estimate competition, and to estimate profitability, two methods of rate of return on asset (ROTAB) and net interest margin (NIM) are used. The data analysis method in this study was based on the generalized least squares (GMM). The results showed that in the rate of return method, the impact of competition on the profitability of commercial banks, both in the deposit market and in the non-interest income market, was inverse and significant, and in the facility market, it has a positive and significant impact on the profitability of the banks.El propósito de este estudio es investigar la cuestión de cómo es el impacto del riesgo de bancarrota y mejorar las condiciones competitivas en la rentabilidad de los bancos comerciales. Hemos estudiado la información del balance de 30 bancos comerciales, que incluyen todos los bancos iraníes, durante el período 2006-2017. En este documento, el indicador BOONE se utiliza para estimar la competencia, y para estimar la rentabilidad, se utilizan dos métodos de tasa de rendimiento del activo (ROTAB) y margen de interés neto (NIM). El método de análisis de datos en este estudio se basó en los mínimos cuadrados generalizados (GMM). Los resultados mostraron que en el método de la tasa de rendimiento, el impacto de la competencia en la rentabilidad de los bancos comerciales, tanto en el mercado de depósitos como en el mercado de ingresos sin intereses, fue inverso y significativo, y en el mercado de instalaciones, tiene un Impacto positivo y significativo en la rentabilidad de los bancos

Evaluation and Ranking of Citrus Gardens’ Risks Using TOPSIS Method (Case Study: East of Mazandaran Province)

Citrus production has a great importance and position in Iran. The growth and sustainability of the agriculture sector is impossible without appropriate and effective risk identification and management. In this study, the main risks of citrus gardens were identified based on the Delphi method through questionnaires completed by 16 experts. Then, using the TOPSIS technique, the risks involved in the horticultural industry of Mazandaran Province were prioritized during 2010- 2016 and the most important risk of Mazandaran gardens was selected based on the Shannon unweighted entropy matrix. The results showed that the most important horticultural risks were related to the risks of pests and diseases, price, damage, and production, respectively. In addition, the lowest risks were related to technical, labor and credit risks, respectively. Therefore, the results indicated the significant influence of the risks of pests and diseases, price and loss in horticulture. Among the risks of pests and diseases, mealy bugs, red mites and aphids with 76, 73 and 70 percent, respectively, were of the highest risk and risks arising from financing, purchasing the product and the damage caused by drip irrigation and emitters were of the lowest risk. The risk exposure represented that risk management should be considered in these fields. In this regard, it is essential to make major reforms in risk management areas involved in orchards. Thus, the planners and policymakers must consider this issue

Evaluation and Ranking of Citrus Gardens’ Risks Using TOPSIS Method (Case Study: East of Mazandaran Province)

Citrus production has a great importance and position in Iran. The growth and sustainability of the agriculture sector is impossible without appropriate and effective risk identification and management. In this study, the main risks of citrus gardens were identified based on the Delphi method through questionnaires completed by 16 experts. Then, using the TOPSIS technique, the risks involved in the horticultural industry of Mazandaran Province were prioritized during 2010- 2016 and the most important risk of Mazandaran gardens was selected based on the Shannon unweighted entropy matrix. The results showed that the most important horticultural risks were related to the risks of pests and diseases, price, damage, and production, respectively. In addition, the lowest risks were related to technical, labor and credit risks, respectively. Therefore, the results indicated the significant influence of the risks of pests and diseases, price and loss in horticulture. Among the risks of pests and diseases, mealy bugs, red mites and aphids with 76, 73 and 70 percent, respectively, were of the highest risk and risks arising from financing, purchasing the product and the damage caused by drip irrigation and emitters were of the lowest risk. The risk exposure represented that risk management should be considered in these fields. In this regard, it is essential to make major reforms in risk management areas involved in orchards. Thus, the planners and policymakers must consider this issue

Impact of Bankruptcy Risk and Competition on Profitability in the Iranian Banking System Using BOONE Indicator: Generalized Method of Moments

The purpose of this study is to investigate the question that how is the impact of bankruptcy risk and improving competitive conditions on the profitability of commercial banks. We have studied the balance sheet information of 30 commercial banks, which include all Iranian banks, during the period 2006-2017. In this paper, the BOONE indicator is used to estimate competition, and to estimate profitability, two methods of rate of return on asset (ROTAB) and net interest margin (NIM) are used. The data analysis method in this study was based on the generalized least squares (GMM). The results showed that in the rate of return method, the impact of competition on the profitability of commercial banks, both in the deposit market and in the non-interest income market, was inverse and significant, and in the facility market, it has a positive and significant impact on the profitability of the banks

Effects of once-weekly exenatide on cardiovascular outcomes in type 2 diabetes

BACKGROUND: The cardiovascular effects of adding once-weekly treatment with exenatide to usual care in patients with type 2 diabetes are unknown. METHODS: We randomly assigned patients with type 2 diabetes, with or without previous cardiovascular disease, to receive subcutaneous injections of extended-release exenatide at a dose of 2 mg or matching placebo once weekly. The primary composite outcome was the first occurrence of death from cardiovascular causes, nonfatal myocardial infarction, or nonfatal stroke. The coprimary hypotheses were that exenatide, administered once weekly, would be noninferior to placebo with respect to safety and superior to placebo with respect to efficacy. RESULTS: In all, 14,752 patients (of whom 10,782 [73.1%] had previous cardiovascular disease) were followed for a median of 3.2 years (interquartile range, 2.2 to 4.4). A primary composite outcome event occurred in 839 of 7356 patients (11.4%; 3.7 events per 100 person-years) in the exenatide group and in 905 of 7396 patients (12.2%; 4.0 events per 100 person-years) in the placebo group (hazard ratio, 0.91; 95% confidence interval [CI], 0.83 to 1.00), with the intention-to-treat analysis indicating that exenatide, administered once weekly, was noninferior to placebo with respect to safety (P<0.001 for noninferiority) but was not superior to placebo with respect to efficacy (P=0.06 for superiority). The rates of death from cardiovascular causes, fatal or nonfatal myocardial infarction, fatal or nonfatal stroke, hospitalization for heart failure, and hospitalization for acute coronary syndrome, and the incidence of acute pancreatitis, pancreatic cancer, medullary thyroid carcinoma, and serious adverse events did not differ significantly between the two groups. CONCLUSIONS: Among patients with type 2 diabetes with or without previous cardiovascular disease, the incidence of major adverse cardiovascular events did not differ significantly between patients who received exenatide and those who received placebo

Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

BackgroundFuture trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050.MethodsUsing forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline.FindingsIn the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8–63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0–45·0] in 2050) and south Asia (31·7% [29·2–34·1] to 15·5% [13·7–17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4–40·3) to 41·1% (33·9–48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6–25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5–43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5–6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2–26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [–0·6 to 3·6]).InterpretationGlobally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions.FundingBill & Melinda Gates Foundation.</p