Dynamic effect of green financing and green technology innovation on carbon neutrality in G10 countries: fresh insights from CS-ARDL approach

There is a notion that finance plays a crucial role in anthropogenic; however, the emerging trends have been observed to incorporate environmental concerns into sustainable financing. Moreover, technological innovations tend to help in achieving carbon neutrality. This research examines the role of green financing (GFIN) and green technologies in dealing with carbon neutrality in G10 economies from 2000 through 2018. Advanced panel estimations; Cross-Sectional ARDL, cross-sectional dependence, unit root test with and without structural breaks, slope homogeneity, and panel cointegration has applied. The long- and short-run estimates confirm that GFIN and technologies promote carbon neutrality. Moreover, the long-run results endorse the validity of the Environmental Kuznets Curve. Similar findings are observed in the short run except for EKC; however, their marginal contribution toward carbon neutrality is relatively higher in the long run. Moreover, the negative sign of the error correction term endorses convergence towards steady-state equilibrium. These results are endorsed by alternative estimators and offer valuable recommendations

Examining the nexus between oil price, COVID-19, uncertainty index, and stock price of electronic sports: fresh insights from the nonlinear approach

Due to the arrival of a novel coronavirus, the year 2020 will forever be remembered. It is not hyperbole to state that COVID-19 has affected and infected almost everyone in society and the global community in different ways. However, many parts of the world seem to be improving. Individuals, organisations, and governments are trying to work through some effective strategies. The present study investigates the influence of fluctuation in the oil prices, COVID-19, and daily news-based index on Electronic Arts Inc’s stock prices by applying a novel approach entitled Quantile Autoregressive Distributed Lag (QARDL) during 2019–2020. This approach is quite meaningful as it incorporates various quantiles with a comprehensive explanation of overall dependence among stated variables ignored by the traditional models like quantile regression, OLS, ARDL, etc. The study outcomes through QARDL reveal that the error correction coefficient is significant in various quantiles while confirming the long-run linkage among oil price, COVID-19, and EPU. More specifically, the study outcomes confirm a positive linkage (in all the quantiles) between COVID-19 and stock prices of Electronic Arts Inc, whereas a negative connection (for 0.20th to 0.95th quantiles) between oil prices and SPI. Furthermore, the Granger causality findings indicate the bidirectional causality between SPI and OIL and between SPI and EPU. Various policy implications are also provided under the present stud

Do energy prices, covid19, and financial uncertainty hinder the environment and social responsibility?

The COVID-19 pandemic has reached more than 215 countries across the globe, and it has also led to severe damage to the worldwide financial markets. Therefore, the current study explores the role of the novel COVID-19 pandemic, the energy prices, and the subsequent financial uncertainty on the US market’s environment and social responsibility index (ESRI), which is considered a good representation of the global market. The study has applied Quantile Autoregressive Lagged Approach (QARDL) for estimation using data from January 2010 to July 2021. The findings of the aforementioned relationships have been reported to be similar to the outcomes that have been observed for the short run, as reported in the longer period of time. Precisely, for energy prices and ESRI, the nature of the relationship remains negative. Moreover, in terms of the relationship between the financial uncertainty and ESRI, the nature of the relationship remains negative, while for the relationship observed between COVID and ESRI, the nature of the relationship remains positive. Based on these findings, maintaining the level of compliance towards ESRI, following the relevant SOPs, and improving the productivity of energy resources are viable measures that can be recommende

The Renewable Energy Consumption-Environmental Degradation Nexus in Top-10 Polluted Countries: Fresh Insights from Quantile-on-Quantile Regression Approach

This empirical examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990-2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015) and Granger causality in quantiles developed by Troster (2018) are applied. In particular, we examine in what manners, quantiles of renewable energy consumption affect the quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation

Is Stock Market Sensitive to Foreign Capital Inflows and Economic Growth? Evidence from Pakistan

This study investigates the impact of foreign capital inflows and economic growth on stock market capitalization in Pakistan by using the annual time series data from the period of 1976 to 2011. The ARDL bound testing cointegration approach confirms the valid long run relationship between considered variables. Results indicate that foreign direct investment, workers’ remittances and economic growth have significant positive relationship with the stock market capitalization in long run as well as in short run. Results of dynamic ordinary least square (DOLS) and fully modified ordinary least square (FMOLS) suggest that the initial results of long run coefficients are robust. Results of variance decomposition test show the bidirectional causal relationship of foreign direct investment and economic growth with stock market capitalization. However, unidirectional causal relationship is found in between workers’ remittances and stock market capitalization. It is suggested that in Pakistan, investor can make their investment decisions through keep an eye on the direction of the considered foreign capital inflows and economic growth

Time–frequency causality between stock prices and exchange rates: Further evidences from cointegration and wavelet analysis

The current study investigates the relationship between stock prices and exchange rate by using wavelets approach and more focused the continuous, power spectrum, cross and coherence wavelet.The result of Bayer and Hanck (2013) and Gregory and Hansen (1996) confirm the presence of long-run association between stock price and exchange rate in Pakistan.The results of wavelet coherence reveal the dominance of SP during 2005–2006 and 2011–2012 in the period of 8–16 and 16–32 weeks cycle in approximately all the exchange rates against Pakistani rupees.For almost the entire studied period in long scale, the study evidences the strong coherence between both the series.The most interesting part of this coherence is the existence of bidirectional causality in the long timescale.The arrows in this long region are pointing both left up and left down.This suggests that during the time period, our variables are exhibiting out phase relationship with mutually leading and lagging the market. These results are in contrast with many earlier studies of Pakistan

Effect of Online Parent Brand Dimension on Online Trust, Satisfaction and Loyalty: In Context of Newspaper Industry

The shift towards technological era has caused services to adopt technology to increase customer satisfaction. Although much work has been done on offline brand dimension of newspapers and its effect towards website satisfaction, website trust and website loyalty; this paper focuses on how offline brand dimension of newspaper effects website satisfaction, website trust and website loyalty in Pakistani context. The mediating effect of Offline Brand Dimension of newspaper on Website Trust and Website Satisfaction has also been studied in this paper. Offline Brand Dimensions has been studied as a result of four factors which include: Brand Trust, Brand Satisfaction, Attitudinal Brand Loyalty and Behavioral Brand Loyalty. SPSS 21 and AMOS 21 have been used for data analysis. Exploratory Factor analysis through SPSS 21 and Confirmatory factor analysis through AMOS 21 has been conducted. To study the hypothesis path analysis has been carried out and mediation analysis has also been done to study the mediating effect. Survey research has been carried out through questionnaire. Sample size included 321 respondents. The respondents included those people who use online newspaper. The result indicates that Offline Brand Dimensions have a significant and positive impact on Website Trust and Website Satisfaction but has an insignificant impact on Website Loyalty; whereas Website Loyalty is the result of Website Satisfaction and Website Trust. There also exists full mediation of Offline Brand Dimensions on Website Trust and Website Satisfaction. This research will help to devise strategies for increasing readers’ loyalty and satisfaction

Comparison of biochemical/haematological parameters in healthy vs preeclamptic females

Objectives: To evaluate and compare the Biochemical/Haematological parameters in healthy (pregnant subjects) vs preeclamptic females. Methodology: This descriptive cross-sectional study was planned/conducted at IBMS KMU Peshawar and the data was collected from the Dept. of Gynaecology & Obstetrics-Lady Reading Hospital Peshawar, from June 2019 to July 2020. One hundred thirty-eight pregnant subjects between the gestational ages of 26-30 weeks were included in the study. The subjects were divided into two cohorts; Patients with preeclampsia (Group I N=92) and a Normotensive Control Group; women with normal pregnancy (Control group N=46). Blood from the subjects was checked for Haemoglobin (Hb) and Platelet (PLT) levels and Body Mass Index (BMI) among other parameters. Blood was taken and analysed at the Hospital Lab via Cobas 6000 analyser. Data was analysed using SPSS version 26.0 for MacBook Pro. Results: Body mass index of PE group was significantly higher compared to normal group (p<0.001). Similarly, mean platelet counts and hemoglobin in PE group was lower as compared to normo-tensive group and the differences were statistically significant (p<0.05). There was no significant difference in mean gestational age (weeks) between the two groups (27.83 ± 0.95 vs 27.78 ± 1.07, p= 0.33) was observed.&nbsp

Association of serum soluble endoglin with preeclampsia

Objectives: To determine and compare the serum soluble Endoglin (sEng) levels among pregnant women with preeclampsia (PE) and women having normal pregnancy. Methodology: This cross-sectional study was carried at IBMS KMU and the data collection was carried out in the department of Gynecology & obstetrics, Lady Reading hospital, Peshawar, from June 2019 to July 2020. A total of 138 pregnant women at the gestational age of 26-30 weeks were included. The study sample was divided into two groups. Group A: Pre-Eclamptic (n=92). Group B: Normotensive Control Group; women with normal pregnancy (n=46). Results: Mean age in PE group was considerably lower as compared to control group (p<0.001). Similarly, mean age at the time of marriage was significantly lower in the PE group compared to control group (19.40±1.92 vs 21.17±2.19 years, p<0.001). Both mean systolic and diastolic blood pressure in PE and control group was noted to be significantly differed (169.78 ± 16.64/ 114.62 ± 9.34 vs 119.57 ± 1.07/ 78.48 ± 5.56 mm Hg, p<0.05). PE group had statistically significantly higher sEng levels compared to control group (13.42 ± 2.94vs3.47 ± 2.80 ng /ml, p <0.001).&nbsp