20 research outputs found
Do financial variables affect the systematic risk in sugar industry?
The purpose of this study is to investigate the relationship between financial variables and systematic risk. The studied variables are explored as determinants of systematic risk. This study analyzed the annual data over the period of 2005-2015 from selective industry. To test the studied hypotheses simultaneously, panel tests were applied along with multiple regression analysis approach. The findings of sugar industry have shown that liquidity, leverage (insignificant), operating efficiency, dividend payout, and chin model are inversely associated while profitability and Tobin q (insignificant) are positively related with Systematic risk. The regression results show that significant association of liquidity, profitability, operating efficiency, growth, dividend payout and chin model are with earlier studies. The studied variables have decisive impact for determinants of Systematic risk. Findings are fruitful for all stakeholders to maximize the returns by reducing the risk factors
Corporate Governance and Environmental Reporting in Pakistan
The focus of the present study is to investigate the association between environmental reporting and corporate governance traits in Pakistan. The prior studies related to the association between environmental disclosure and corporate governance characteristics show fickle findings. This study fills the gap by using cross sectional data of 100 randomly selected firms registered at Karachi Stock Exchange for the year 2015. The results of the present research showed a positive association between the level of environmental disclosure and fraction of independent directors on the board. Negative relationship was found between environmental disclosure and institutional investors. The result shows a positive association between the level of environmental reporting and board size. It confirms a positive association. The analysis revealed a lack of association between level of environmental reporting and fraction of female directors on a board. In case of control variables, positive relationship was found between firms’ profitability and level of environmental disclosure, whereas, no correlation was found between firm size and the level of environmental reporting. Moreover, the results of incremental regression indicate that ownership concentration is the most important independent variable among all the independent variables in the model
Impact of Investment Efficiency on Cost of Equity: An Empirical Study on Shariah and Non Shariah Compliance Firms Listed on Pakistan Stock Exchange
The primary purpose of the study is to investigate the impact of investment efficiency on cost of the equity of firm. This study further explores whether the relationship of investment efficiency and cost of equity is different for the shariah and non shariah compliance firms. Using sample of 235 non financial firms listed at Pakistan stock exchange (PSX) for the period of 2005-2015, the results revealed that there is a negative significant influence of investment efficiency on the cost of equity. This signifies that investors required rate of return increases with the increase in the level of investment inefficiency. We also found out that the negative association of investment efficiency and cost of equity is weaker for the shariah compliance firms than for non shariah compliance firms. The results of our study also provided evidences that overinvestment is positively associated with the cost of equity. But we are unable to find significant impact of under investment on the cost of equity, this pointed that over investment is considered more serious problem for investors as compared to the underinvestment. The results furnished empirical support to our argument that shariah acts as a mechanism to lower bankruptcy and leverage cost hence reduce the cost of equity. The findings are helpful for academicians, regulators, investors and Shariah board. Further research may be conducted in different economies in order to generalize the findings
The Impact of Ownership Structure and Corporate Governance on Investment Efficiency: An Empirical Study from Pakistan Stock Exchange (PSX)
The objective of the study is to investigate the impact of ownership structure,
corporate governance on investment efficiency. This study uses sample of 50 non-financial listed companies on the Pakistan Stock Exchange (PSX) for the Period of 2010 to 2015. Using
Dynamic GGM panel model, the findings reveal that investment efficiency is decreased as the
concentration of the ownership increases. Managerial ownership has a positive and significant
influence on the investment efficiency. Furthermore, the presence of CEO duality has negative
effect on investment efficiency. Moreover, unlike other institutional ownership, presence of
Mutual Funds significantly increases investment efficiency in investee firms. We are unable to
find significant impact of institutional ownership and board size on investment efficiency.
Overall, our results emphasize the important role of ownership structure and corporate
governance in determining firm’s investment efficiency. The paper adds to the emerging body of literature on corporate governance and investment efficiency relationship in the Pakistan context, which is an important emerging economy
Total knee arthroplasty: Risk factors for allogeneic blood transfusions in the South Asian population
Background: Total knee arthroplasty (TKA) is the recommended treatment for end-stage knee osteoarthritis. Considering the various risks associated with intra and postoperative blood transfusions, better understanding is required with respect to the risk factors contributing to a greater possibility of blood transfusion during or after surgery. Although literature highlights several such factors, our study is among the first to identify these risk factors in the South Asian population which differs from other populations in several ways. Methods: The study consists of a review of 658 patients undergoing TKA from 2005 to 2015. Data was obtained from patient medical records and was analysed using logistic regression analysis. The relationship between each predictor and the outcome variable was calculated as an Odds ratio (OR), the threshold of significance for which was p = 0.25 and p = 0.05 for univariate and multivariable analysis respectively. Results: The mean age of the patient population was 63 years (78% female), 25% of whom received one or more blood transfusions. Multivariable analysis revealed 5 significant independent predictors for increased risk of blood transfusions including bilateral knee surgery (OR:5.51), preoperative anemia (OR:4.15), higher ASA (American Society of Anaesthesiologists) status (3-4) (OR:1.92), female sex (OR:3.44) and BMI (Body mass index) ≤30 (OR:1.79) while increasing co-morbidities and age (\u3e60) were found to be insignificant. Conclusions: The factors identified for the South Asian population are largely similar to those for other populations. Identification of high risk patients will permit the application of an international multipronged approach which not only targets the modifiable risk factors but also the decision making process and blood management protocols in order to minimize the transfusion associated risks for a patient undergoing a TKA
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Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021
Background
Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period.
Methods
22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution.
Findings
Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations.
Interpretation
Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic
The Impact of Institutional Investment Horizon on Corporate Governance and Firm Performance
The purpose of this research study is to explore the impact of institutional investors in corporate governance and market measure firm performance mechanism. The study defined the investment horizon of the financial institutions on the bases of their long or short term investment objectives in the investee companies. In order to study these relationships the research analyzed an unbalanced panel of 287 non-financial firms’ from 2005 to 2016. The selected sample was analyzed by fixed effect, random effect and Arellano–Bond dynamic panel models. The results of the study confirm the positive impact of institutional investors (as a homogenous group) in enhancing the corporate governance and firms’ performance mechanism in the light of agency and signaling theories. However, when the financial institutions are analyzed on the basis of their investment horizon the empirical results deviated from the previous predicted theoretical findings. The research further concludes that long investment horizon institutional investors play a positive role in improving corporate governance index and Tobin’s Q, however, short investment horizon institutional investors are found detrimental for both the corporate governance and performance mechanism in Pakistani firms. The current study is unique in the context of the emerging economies, as it provides response to the previous contradictory opinions about the role of financial institutions in firm performance and corporate governance mechanism. Moreover, the current research is also useful for individual investors, corporate managers and regulatory authorities for better understanding of this phenomenon
Financial Inclusion and Financial Literacy in Low Income Group in Emerging Economy
Purpose: Financial institutions engage in performing imperative part in the economic development of an economy through circulation of funds that resulting in employment and fair distribution of limited resources. Financial literacy results in usage of financial product and services provided by financial institutions that lead to pervasive growth of an economy. Financial inclusion takes into loop the excluded segment of a developing country to attain the desired financial and economic outcomes. Recognizing the importance of financial inclusion, this study is executed to investigate the impact of financial literacy on financial inclusion in street vendors.
Design/methodology/approach: This study was conducted in twin cities Islamabad and Rawalpindi. Snowball and purposive sampling technique has been used in this study. Primary data has been collected from street vendors through semi structure interviews and questionnaire. Participatory action research design is used in this study. Deductive approach has been used for qualitative data analysis.
Findings: The results of this study found that street vendors only name financial institutions. They don’t have knowledge about financial products and services provided by those financial institutions. Because of inadequate knowledge, majority of the street vendors do not use financial products and services which are available to them. A very small number of street vendors are using financial products and services. The expected outcomes of this study set a direction for policy makers of financial institutions about how to increase financial inclusion by considering the observed relations in this study.
Practical implications: The results will help policy makers in formulating effective strategies to bring into the net that excluded segment, which if included will not only improve their quality of life but also augment to the sustainability and growth of economy through financial inclusion.
Originality/value: As suggested by the recent relevant literature, the study is an attempt to identify those antecedents of financial inclusion, which has not been explored earlier in context of Pakistan, to extend the earlier findings through qualitative research method and to establish how financial inclusion can be made a success in achieving its desired outcomes in a developing economy
Financial Inclusion between Financial Innovation and Economic Growth A Study of Lower Middle Income Economies
Financial inclusion is a key concern that has achieved much impulsion in the last two decades internationally. It has the scope of reporting of financial scheme and institutions to the underserved community in the economy. This study examined the effect of financial innovation on economic growth with the mediation of financial inclusion. To address the relationship researchers in this study have used measures from a dataset of low and lower middle income group economies over a sample period from 2010-2017. The results of this study shows that financial innovation creates opportunities for financially excluded segment of the society which results in financial inclusion that leads to economic growth of low and lower middle economies. Therefore, financial innovation is a way for creation of financial inclusion in low and lower middle economies.