Corporate commitment to climate change action,carbon risk exposure,and a firm's debt financing policy

Motivated by the rising consensus that corporate engagement in climate change actions holds the key for society's transition into environmentally resilient economy, the study examines whether a firm's commitment to climate change action and its carbon risk exposure shape the firm's debt financing policy. Based on insights drawn from signaling, corporate reputation, and agency theories, we develop models that link corporate commitment to climate change actions and a firm's carbon risk exposure with its debt financing decisions. Using data drawn from S&P 500 companies, for years 2015 to 2019, we find a robust evidence that firms that engage in higher levels of commitment to climate change actions issue a higher proportion of debt with longer terms to maturity, even after controlling for their carbon risk exposure. However, we do not find a robust evidence corroborating an association between firms' carbon risk exposure and their debt financing policy. These findings are consistent with arguments that high-commitment firms enjoy positive reputation, better credit rating, and reduced agency and information asymmetry costs, allowing them to gain easier access to long-term debt markets.     

Joint pricing and inventory control for non-instantaneous deteriorating items with partial backlogging and time and price dependent demand

In this paper, a joint pricing and inventory control for non-instantaneous deteriorating items is developed. We adopt a price and time dependent demand function. Shortages is allowed and partially backlogged. The major objective is to determine the optimal selling price, the optimal replenishment schedule and the optimal order quantity simultaneously such that, the total profit is maximized. We first show that for any given selling price, optimal replenishment schedule exists and unique. Then, we show that the total profit is a concave function of price. Next, we present a simple algorithm to find the optimal solution. Finally, we solve a numerical example to illustrate the solution procedure and the algorithm.     

A Survey and a Theoretical Model of Distance Education Programs

In search of a distance education programs crucial success factors, this research was conducted through a designed survey and evaluation instrument, for a predominantly doctoral program at DE University (DEU, an adopted name). Also, the survey has identified some challenging factors along with students most crucial reasons for adopting distance education programs. The author has presented a Testable theoretical model of distance education programs. The top four success factors were revealed to be program quality, general recognition and academic integrity, students satisfaction, and students progress toward the ultimate goal of graduation. Lack of time and worries about the degree recognition by prospective academic and nonacademic employers were the most crucial challenging factors.The 57th International Atlantic Economic Conference Lisbon, Portugal, March 10–14. This research is appreciably funded by a research grant from Walden University.     

FOREIGN DIRECT INVESTMENT,NON‐TRADED GOODS AND REAL WAGES

Using a three‐sector general equilibrium model with non‐traded goods, we investigate the impact of foreign direct investment on the real wages of skilled and unskilled workers. We show that foreign direct investment increases the real wages of skilled and unskilled workers alike, but widens the gap between the two under plausible conditions.     

Application of ANFIS to exchange rate forecasting

The need of exchange rate forecasting in order to preventing its disruptive movements has engrossed many policy-makers and economists for many years. The determinants of exchange rate have grown manifold making its behavior complex, nonlinear and volatile so that nonlinear models have better performance for its forecasting. In this study the accuracy of ANFIS as the nonlinear model and ARIMA as the linear models for forecasting 2, 4 and 8 days ahead of daily Iran Rial/∈ and Rial/US$ was compared. Using forecast evaluation criteria we found that nonlinear model outperforms linear model in all three horizons.     

Injuries and their burden in insured construction workers in Iran, 2012

The present study used disability adjusted life years (DALY) to estimate the burden of external cause of injuries in construction workers insured in Iran in 2012. The Global Burden of Disease method (2010) was used to estimate the years of life lost due to death (YLL) and years of life lost due to disability (YLD). DALY was calculated as the sum of YLL and YLD. There were 5352 injured construction workers in Iran (11.25 individuals per 1000). Falling was the most common incidence and included 2490 individuals (46.53%). Totally, DALY was estimated 18,557 years for all age groups and both genders including 17,821 YLD (96%) and 736 YLL (4%). The DALY related to construction work is high in Iran and it has notably affected the young. Hence more preventive methods should be applied to reduce the overall burden of specific external cause of injuries especially in young and inexperienced workers.     

Effects of service orientation on job embeddedness in hotel industry

This research aims to develop and analyze a model that depicts work engagement (WE) as a mediator of the relationship between job embeddedness and service orientation. Specifically, the model examines external environmental factors (EEFs) as moderator of the effects of service orientation and job embeddedness in the hospitality industry. All data used for this study were gathered in Iran from hotels frontline employees with a two-weeks’ time lag. These relationships mentioned above were analyzed using AMOS 22.0. It was discovered in the results that WE was indeed a partial mediator and that EEFs indeed moderated the effects of service orientation on job embeddedness with adequate empirical support. The implications of the findings for the managers, the study limitations, and future research recommendations were also discussed.     

Good governance,innovation, economic growth and the stock market turnover rate

This study is primarily aimed at testing the theory of good governance in the group of eight developing Islamic countries. Using a panel data regression model, we examined the data to determine the relationship between political economy and economic development of eight countries, for the period 2005 to 2014. The results show a significant positive correlation between the rule of law, corruption control with economic growth and stock market turnover rate proxy. The examination through an artificial neural network resulted in a higher determination coefficient and less average standard error. This, in turn, reveals that the fitting power and efficiency of this method is higher than the panel data regression model. Furthermore, the findings of this study suggest that the application of good governance theory calls for more inquiry.     

Home-related injuries among under-five-year children and mothers' care regarding injury prevention in rural areas

This cross-sectional study was conducted in rural areas of Twiserkan (Toyserkan) County, in Iran, to assess factors associated with home-related injuries among under-five-year children and their mothers’ care regarding injury prevention. Mothers who had their under-five-year-old children injured within a 12-month period were identified from recorded information in Twiserkan Health Center. Then, data were gathered using pre-tested questionnaire and through interview with injured children's mothers. The questions were about characteristics of the children's injuries and their mothers’ care regarding injury prevention, using PRECEDE (Predisposing, Reinforcing, and Enabling Constructs in Educational/Environmental Diagnosis and Evaluation) model with focus on knowledge and attitude; enabling and reinforcing factors; and mothers' preventive behaviours. The study results showed that 197 out of 210 total identified mothers took part in the study. The reported injuries were 11.68%, 39.09%, and 49.24%, respectively, for severe, moderate, and mild cases. Fall was the most frequent injury with 35%. Among PRECEDE model constructs, there was a statistically significant correlation between mothers' knowledge and injury severity among children. Home-related injuries are an important health problem among study population and their prediction and prevention are necessary. Enhancement of mothers’ knowledge can be helpful to improve child injury prevention.