Pakistan and GCC region share a common religion cultural characteristics, increasing their importance to regarding trade policy. To promote economic, cultural, technical cooperation with members, is committed signing free arrangement GCC. This paper aims examine Pakistan's opportunities, competitiveness, potential in the during 2003-2017. The result shows that has maximum comparative competitiv...

The novel COVID-19 virus, and the pandemic that has followed its spread, had a massive impact on banking industry global level. Therefore, considering this context, study examines effect of sector’s performance in Asian emerging economics, over time span ranging from 2016Q1–2021Q2. For purpose, makes use FE, RE, 2SLS, PPML regression models. empirical findings show GDP size are positively relat...

We use a unique case study to estimate the effect of withdrawing from free trade agreement on international trade. Lately, political opposition economic cooperation has been rise, but little is known about how withdrawal affects analyze quasi-natural experiment provide first empirical evidence. In 2004, Estonia joined European Union, which mandated that it withdraws its FTA with Ukraine (“Uxit”...

The “Belt & Road” Initiative (B&R) is China’s international cooperation initiative proposed in 2013, which aims to promote regional economic development and common prosperity. Not only B&R important for development, but also it helps adjust improve relevant policies. trade potential of 100 countries between 2008-2017 analysed by using the PPML model. This paper finds that has brough...

Machine Learning (ML) has recently shown tremendous success in modeling various healthcare prediction tasks, ranging from disease diagnosis and prognosis to patient treatment. Due the sensitive nature of medical data, privacy must be considered along entire ML pipeline, model training inference. In this paper, we conduct a review recent literature concerning Privacy-Preserving (PPML) for health...

Machine Learning (ML) algorithms, especially deep neural networks (DNN), have proven themselves to be extremely useful tools for data analysis, and are increasingly being deployed in systems operating on sensitive data, such as recommendation systems, banking fraud detection, healthcare systems. This underscores the need privacy-preserving ML (PPML) has inspired a line of research into how can ...

Tourism is a sector that contributes to the economic development of both developed and developing countries, with this structure, it contains environmental, social, dimensions sustainable development. This study aims estimate effects environmental quality other determinants on international tourism demand. Within scope 2008–2017 period, demand from 27 different countries top 10 attract most tou...

The objective of this study was to investigate the impact environmental policies on bilateral green exports among developed and developing countries. empirical analysis based fixed-effects gravity model estimation with PPML (Poisson pseudo-maximum likelihood) for trade world countries 1990–2019. This focused two proxy policy indicators: environment-related tax energy intensity. major findings w...