Does the digital economy improve female employment? A cross-country panel data analysis.

The digital economy has had an impact on the female employment rate over time. Currently, the researchers are more interested in investigating the impacts of the digital economy by focusing on its various aspects of female employment. The current study is motivated by this renewed interest to investigate the impact of the digital economy on female employment rates in Asian Developing Countries from 1990 to 2021. The digital economy is measured by several indicators such as fixed telephone subscriptions, fixed broadband subscriptions, mobile phone subscriptions, secure internet servers, and internet users. The Panel Autoregressive Distributed Lag (PARDL) model is used for analysis that reveals a positive relationship between female employment rates and the digital economy in both the short and long run. The control variables/factors, Education and GDP, also showed positive relationships with female employment. We suggest that governments prioritize funding for digital infrastructure and encourage fair access to technology, especially for women, based on our study. Furthermore, the positive effects of the digital economy on female employment can be strengthened through focused policy interventions, such as offering financial incentives to companies that hire and train women in digital skills. By utilizing these tactics, policymakers can guarantee that women are prepared to take advantage of the chances brought about by the quickly changing digital landscape, promoting gender equality and inclusive economic growth throughout Asian developing nations.

Unpacking the asymmetric impact of exchange rate volatility on trade flows: A study of selected developed and developing Asian economies.

Maintaining a stable exchange rate is a challenging task for the world, especially for developing economies. This study examines the impact of asymmetric exchange rates on trade flows in selected Asian countries and finds that the effects of increased exchange rate volatility on exports and imports differ among Pakistan, Malaysia, Japan, and Korea. The quarterly data from the period 1980 to 2018 is collected from the International Financial Statistics (IFS) database maintained by the International Monetary Fund (IMF). We employ both linear and non-linear Autoregressive Distributed Lag (ARDL) models for estimation. The non-linear models yielded more significant findings, while the linear models did not indicate any significant effects of exchange rate volatility on trade flows. The results of the study suggest that in the case of Pakistan, both the linear and non-linear models indicate that increased exchange rate volatility adversely affects exports and imports, while decreased volatility enhances both. This implies that stabilizing the exchange rate would be beneficial for Pakistan's trade. In contrast, the linear model applied to Malaysia shows no long-run effects of exchange rate volatility on exports. However, the result suggests that decreased volatility stimulates Malaysia's exports. Therefore, in the case of Malaysia, stabilizing the exchange rate could contribute to boosting exports. We also found that increased exchange rate volatility boosts exports of Japan. On the other hand, decreased volatility hurts exports of Japan. As for the long-run effects of exchange rate volatility on imports, we found that increased volatility boosts imports of Korea. The study provides various policy implications regarding the impact of exchange rate volatility on trade flows in developing economies. The study highlights the importance of country-specific considerations in understanding the impact of exchange rate volatility on trade flows, and has important policy implications for promoting trade and economic growth in these nations. It emphasizes the need to model exchange rate volatility separately for developed and developing countries and to continue research and analysis to identify ways to mitigate its negative effects on the economy.

Do economic freedom, innovation, and technology enhance Chinese FDI? A cross-country panel data analysis.

This study evaluates the determinants of Economic freedom, innovation and technology concerning Chinese foreign direct investment. The aim of the study is to explore, that how these determinants influence Outward Foreign Direct Investment (OFDI) from China toward different regional economies. The study will enrich the existing literature by providing useful policies to the concerned economies to influence more Chinese FDI to host economies. The panel data set includes 27 (African, European, and Asian) Countries data over the period of 2003 to 2018. Moreover, the study employed panel data analysis and the result reveals that property rights, patents residents (pantentAR), Research & Development (R&D), Inflation, official exchange rate (OER), and Tax Burden (TaxB) have a strong positive and significant impact on Chinese OFDI in the selected sample countries, While Government Expenditures (GovE) has positive, but insignificant impact on Chinese OFDI. On the other hand, Chinese OFDI is negatively and statistically significant association with Business Freedom (BusF). This study will put forth considerable policies to the concerned to induce further inflows of Chinese FDI into the host countries. The policymakers should build policies that provide a comfortable environment for business activities and mostly focus on value-added production i.e., expenditures on R&D to enhance high-technology exports because they efficiently attract FDI into host countries. Another key factor is Tax Burden (TaxB), which significantly influences Chinese FDI along with other factors.

Work-Family Conflict, Emotional Intelligence, and General Self-Efficacy Among Medical Practitioners During the COVID-19 Pandemic.

PURPOSE: In Pakistan, medical professionals face multiple challenges comprising long, fixed working hours and workload overburdening, which leads to emotional fatigue. These conflicts in work-life scenarios, brought about by high work demands causing emotional exhaustion, can create a state of distress among the medical professionals. The present study investigates the association between work-family conflict (WFC), emotional intelligence (EI), and self-efficacy (SE) among medical practitioners during COVID-19 in Pakistan. PATIENTS AND METHODS: The study sample included 140 medical professionals from Rawalpindi and Islamabad. Cross-section correlational research design was used, and information was gathered employing online surveys through a purposive sampling technique. The scales utilized were the WFC, EI, and SE Scale. RESULTS: The current study hypothesized a significant relationship between work-family conflict, general self-efficacy (GSE) and emotional intelligence among medical practitioners during COVID-19 in Pakistan. The results showed that those with more family-to-work conflict had less EI and GSE. Furthermore, findings uncovered that there is a significant positive relationship between EI and GSE. CONCLUSION: The findings propose that it is important for medical professionals to have a high level of EI and GSE to navigate through the WFC more healthily. In future, awareness seminars could be arranged related to EI and its significance to stimulate the psychological well-being of medical professionals. Future studies could also consider other healthcare workers, including nurses and internees doing house jobs and other medical staff, as they are also exposed to several stresses due to the workload and family demands.

Covid-19 pandemic: Current scenario and public risk perception in Pakistan.

Covid-19 is a Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2), which has exposed the issue of public risk perception among people in Pakistan. Previous research about public risk perception among people in Pakistan has been a neglected area till the writing of the current paper. The study aims to determine the level of public risk perception among people in Pakistan about the Covid-19 pandemic. Why and how public risk perception among health professionals and literate is more than the illiterate people in Pakistan? Data were collected through questionnaires and interviews of populations sampling from five districts through visits in KPK and other provinces via phone calls and online through internet. Theory of Health Belief Model (HBM) was utilized to explain public health risk perception in Pakistan. The lack of public health risk perception has more in illiterate people than literate among people in Pakistan, which has caused the Coronavirus to multiply rapidly in Pakistan. The findings have indicated that both health professionals and other literate people have different health behaviors than those who are illiterate in Pakistan about the Covid-19 pandemic.

Role of Gender-Based Emotional Intelligence in Corporate Financial Decision-Making.

PURPOSE: Business competition is getting more intense nowadays, and corporate survival is getting harder; consequently, corporate managers have to make financial decisions in complex and globalized scenarios. As a result, in order to compete in today's global economy, businesses are contemplating incorporating behavioural components of human psychology into their decision-making processes. Corporations are masters of quantitative analysis, but they rarely pay attention to behavioural elements of organizational success. Emotional intelligence is important in many parts of life; therefore, it is crucial to look at its dimensions when it comes to corporate financial decision-making. METHODS: A simple random sampling technique was used to collect data from 200 senior-level managers from the corporate sector located in the twin cities of Rawalpindi and Islamabad of Pakistan. SPSS version 22 was used to test the hypotheses. RESULTS: Results of the study show the gender-based variation in corporate financial decision-making detailing the higher impact of EI of males on CFD than their counterparts in the corporate sector organizations. The elements of self-awareness, empathy, motivation and self-regulation affect the financial decision-making of both the genders with varying degrees of influence, whereas social skills do not affect CFD of both genders. CONCLUSION: The study findings explicate that the influence of self-awareness and empathy constructs of EI on corporate financial decisions is stronger in female managers than their male counterparts. However, male managers exhibit a significantly stronger influence of motivation, social skills, and self-regulation dimensions on their financial decisions compared to female managers in a corporate setting. Overall, the impact of EI on CFD is slightly higher in male managers. These empirical outcomes imply that organizations should assess the employees not only for technical skills but also based on their emotional intelligence during the recruitment process.