Solar Photovoltaic Technology and its Impact on Environmental, Social and Governance (ESG) Performance: A Review

To mitigate greenhouse gas (GHG) emissions in the environment, renewable energy sources hold significant potential to offer clean and green energy, and reduce carbon emissions. Utilizing solar power systems can ensure the generation of clean and sustainable energy, leading to reduced GHG emissions during the electricity production process. The adoption of solar energy systems has witnessed a remarkable surge in recent years due to the evident surge in demand for environmentally friendly power sources. There are multiple avenues for prospective research and development in the realm of solar power systems. Gaining familiarity with the requisite technology and its suitability for the diverse demands and consumption patterns is of paramount importance. In this context, the focus of this study centers around solar photovoltaic (PV) technologies. Solar PV technology is positioned to significantly contribute to global energy requirements, offering multi-terawatt capacity for clean and green energy. Notably, due to its well-established infrastructure and economic feasibility, solar PV technology emerges as an optimal choice for both small and large-scale projects. This study places a special emphasis on sustainability as a lens through which recent advancements in solar PV technology are examined. In a world where concerns about climate change mitigation and sustainability are mounting, solar PV technology stands out as a foremost source of clean and environmentally friendly energy, serving as a pragmatic solution for fostering sustainable development. Keywords: solar PV technology, ESG risks, sustainability approaches, solar power systems, sustainable energ

Intellectual Capital and Financial Performance : Does Board Size and Independent Directors Matter? An Empirical Enquiry

Purpose: Intellectual capital (IC) is a paramount resource for competitiveness in the knowledge-based financial sectors of the economy. As financial technology advances, specifically in the banking industry, it is vital to understand the effect of IC on financial performance. This study aims to investigate the effect of IC on return on equity (ROE), with a unique emphasis on the moderating role of board attributes. Previous studies have overlooked this moderating role. Design/methodology/approach: The study sample consists of 17 banks and a panel data set spanning 2016–2021, extracted from annual reports. Antel Pulic’s value-added intellectual coefficient (VAIC) model is used to compute IC. To analyze the data, a generalized least squares analysis is conducted. The robustness of the analysis is ensured by using the two-stage least squares (2SLS) econometric technique. Findings: The findings indicate that both the VAIC and human capital efficiency (HCE) have a significant impact on the ROE of banks. In terms of moderation, it is observed that board size (BS) exerts a negative effect on the association between VAIC, HCE, structural capital efficiency and ROE. Additionally, BS positively compounds the connection between capital employed efficiency and ROE. Similarly, the presence of independent directors (IND) significantly moderates the effects of VAIC and its components on the ROE of banks in Pakistan. Practical implications: Banks should focus on the HCE for a higher ROE. Moreover, banks ought to prioritize appointing more independent directors in the boardroom for effective utilization of IC and greater ROE. Originality/value: The findings of the study, which analyzed data from Pakistan’s banking sector, are original and provide additional insights into the literature on IC and board attributes

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

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Investors’ risk perception in the context of efficient market hypothesis: A conceptual framework for malaysian and indonesian stock exchange

The advocates of the Efficient Market Hypothesis (EMH) theory postulates that share prices depict all the available information concerning its intrinsic worth. EMH espouses the Random Walk Theory i.e. future stock returns cannot be predicted based on past movement patterns. Contrary to that, there are believers of the Adaptive Market Hypothesis (AMH) who have questioned the adaptability of EMH and argues that market efficiency and investor’s risk perception varies across time, thus, stock returns can be predicted through active portfolio management. Various Studies have argued on market efficiency debate for developed markets, however, limited studies have examined the same for emerging markets such as Malaysia and Indonesia, which are most volatile among ASEAN-5 indices. Therefore, the primary objective of this study is to conceptualize the manifestation of efficient market hypothesis and investors’ risk perception in volatile markets of Malaysia (Kuala Lumpur Composite Index) and Indonesia (Jakarta Composite Index) by testing the 10 years (2010-2019) of daily, weekly and monthly data for the return predictability. The findings of this study will provide insight into stock market behavior to help investors to better strategize their portfolio investment positioning to reap the most efficient risk-based return

A reflection on the voluntary disclosure of sustainable development goals : The role of sustainability committee

Limited research explores the private sector's role in achieving Sustainable Development Goals (SDGs), particularly regarding factors influencing disclosure practices in emerging economies. This study addresses this gap by investigating the voluntary disclosure of SDGs and the impact of the sustainability committee (SC) on such disclosure in Malaysia. Panel data from large publicly listed Malaysian companies spanning from 2016 to 2020 is employed. Manual content analysis extracts the SDGs‐related information from the annual reports. Data were analyzed using univariate and multivariate analytical models to examine the effect of the sustainability committee's existence on the SDGs disclosure. Findings reveal an increasing trend in Malaysian companies' commitment to SDGs, with a stronger emphasis on social goals compared to environmental ones. The results of the T‐test, fixed effects, and two‐stage least squares regressions demonstrate significantly higher and more detailed SDG disclosure in companies with SCs compared to those without SCs. These findings suggest that SCs facilitate the integration of SDGs into corporate strategies and business models. Sensitivity analyses have not altered our findings. This research provides useful insights for policymakers and practitioners regarding corporate SDGs disclosure practices and the role of sustainability committees in enhancing such practices

The Long-Run Impact of Information Security Breach Announcements on Investors’ Confidence: The Context of Efficient Market Hypothesis

Information and communication technologies (ICTs) are the cornerstone for sustainable development, but if they are not appropriately managed, they will impede progress towards the United Nations Global Sustainable Development Goals. Among undesirable impacts, emphasis must be put on the risk of information security (ISec) breaches, as they pose a potential threat to businesses there. Especially for publicly traded firms, they could create a long-lasting influence on their financial performance and, thus, stock investors’ confidence. Following the efficient market hypothesis’s footsteps, previous studies have examined only the short-run impact on investors’ confidence ensuing to ISec breach announcements. Therefore, this study investigates the long-run impact of ISec breach announcements on investors’ confidence. Based on a sample of 73 ISec breach announcements during 2011–2019, this paper examines the impact on investors’ confidence, as demonstrated by long-run abnormal returns and equity risk of those firms. Using a one-to-one matched sampling approach, each firm’s performance is analyzed with its control firm over eighteen months, starting six months before the announcement, through twelve months after the announcement. Firms experienced a significant negative abnormal return of 15% to 18% during the twelve months following the breach announcement. In comparison, equity risk increased by 11% within six months before and after an announcement. This study can help investors, managers, and researchers better understand a long-term relationship between ISec breaches and investor confidence in the context of efficient market hypothesis

The Long-Run Impact of Information Security Breach Announcements on Investors’ Confidence: The Context of Efficient Market Hypothesis

Information and communication technologies (ICTs) are the cornerstone for sustainable development, but if they are not appropriately managed, they will impede progress towards the United Nations Global Sustainable Development Goals. Among undesirable impacts, emphasis must be put on the risk of information security (ISec) breaches, as they pose a potential threat to businesses there. Especially for publicly traded firms, they could create a long-lasting influence on their financial performance and, thus, stock investors’ confidence. Following the efficient market hypothesis’s footsteps, previous studies have examined only the short-run impact on investors’ confidence ensuing to ISec breach announcements. Therefore, this study investigates the long-run impact of ISec breach announcements on investors’ confidence. Based on a sample of 73 ISec breach announcements during 2011–2019, this paper examines the impact on investors’ confidence, as demonstrated by long-run abnormal returns and equity risk of those firms. Using a one-to-one matched sampling approach, each firm’s performance is analyzed with its control firm over eighteen months, starting six months before the announcement, through twelve months after the announcement. Firms experienced a significant negative abnormal return of 15% to 18% during the twelve months following the breach announcement. In comparison, equity risk increased by 11% within six months before and after an announcement. This study can help investors, managers, and researchers better understand a long-term relationship between ISec breaches and investor confidence in the context of efficient market hypothesis

Assessing audit fees: Turnover, inflation & minimum stipend rate

Auditing firms rely on audit fees to generate revenue. The audit fee is generally agreed upon by auditee and auditor. For the calculation of audit fees, no standard formula exists. Pakistan's regulatory body for audit firms ‘ICAP' has imposed certain cost constraints on audit firms. As per the literature, stipend rates have been used rarely to determine audit fees. As a result, this paper examines audit fee determination using variables such as the company's assets, turnover, current ratio, inflation, and minimum stipend rate. These variables are especially influential in a developing country such as Pakistan. To determine audit fees, a panel regression model is being de-veloped. We used data from 40 publicly traded companies from 2014 to 2017 to regress on our model. After extensive testing with the Hausman and F-tests, the fixed effect model is finally applied. Empirically, it was discov-ered that the current ratio, the entity's turnover, and the stipend amount all have a significant positive effect on the calculation of audit fees. T The study's findings have significant implications not only for audit firms, but also for auditees in determining audit fees