This paper examines how logistics performance conditions the relationship between trade openness, economic growth and per capita CO₂ emissions in Mediterranean economies. Using an unbalanced panel of 20 countries over the period 2007-2022, we combine static fixed-effects, dynamic panel...

This paper investigates the interacting role of institutional quality in the capacity of innovation and entrepreneurship development nexus in Africa. The paper operationalises the entrepreneurship development from the perspective of new venture creation in Africa, while innovation is based on an...

This paper examines the relationship between corruption and foreign direct investment (FDI) inflows in European Union member states using a dynamic panel framework. Using an unbalanced EU panel from 2002 to 2022 and an Arellano-Bond difference-GMM specification, we model inward FDI inflows per...

This study examines the impact of financial inclusion on income inequality across 33 provinces in Indonesia from 2015 to 2023, while controlling for human development and investment-related factors. Specifically, it investigates the effects of the Financial Inclusion Index (FII), Human...

This study investigates the relationship between corporate social responsibility (CSR) and bank stability in Vietnam from 2016 to 2022 using the method of moments quantile regression (MMQR). The results show a U-shaped relationship between CSR and bank stability at location-based and across...

We propose a novel dynamic panel estimator. Different from the commonly used difference and system GMM, our proposed estimator requires only one of the crosssectional dimension (N) or the time dimension (T) to grow large to be asymptotically unbiased. This improves reliability in panels with...

This research aimed to identify existence of a New Keynesian Phillips Curve in Vietnam. The examined period was 2012Q2 - 2025Q2, using secondary macroeconomics data and the Generalised Moments Method at 95% level of confidence. The dependent variables were price inflation and wage inflation,...

Statistical inference-both estimation and testing-for stochastic volatility (SV) models is known to be challenging and computationally demanding. We propose simple and efficient estimators for SV models with conditionally heavy-tailed error distributions, particularly the Student's t and...