The literature on growth in economics encompasses two main facets of thinking: the applicability of diminishing productivity of capital, as has been in the neoclassical growth model with exogenous technological progress, and the applicability of non-diminishing productivity of capital, as has...

We analyze the impact of negative reference rates on the interest behavior of more than 500 Austrian banks from 2009Q1 to 2021Q4. Using panel vector error correction analysis with the Engle-Granger procedure in two steps, we establish a cointegration vector that links bank-specific lending...

This paper focuses on the estimation and testing of multiple breaks that occur at unknown dates in multivariate long memory time series regression models, allowing for fractional cointegration. A likelihood-ratio based approach for estimating the breaks in the parameters and in the covariance of...

I use Bayesian VARs with stochastic volatility to forecast global temperatures and sea level and ice cover in the Northerin emisphere until 2010, by exploiting (i) their long-run equilibrium relationship with climate change drivers (CCDs) and (ii) the relationship between world GDP and...

Globalization and liberalization have heightened the volatility and complexity of financial markets, prompting investors to diversify their portfolios across different asset classes. This study investigates the dynamic interrelationships among the Indian stock market benchmark index (Nifty 50),...

The aim of this study is to explore and investigate empirically the impact of Covid-19 pandemic on price and volume dynamics in crypto markets. The study makes use of two data samples, but these samples are analyzed separately and independently. The first sample consists of top five crypto...

This paper empirically investigates the short- and long-term impact of public expenditure on economic growth. We use annual data from 28 European Union (EU) countries for the 1995-2022 period and estimate a growth model augmented for public expenditure employing the Autoregressive Distributed...

Due to the global threat of climate change, investigating the interplay between environmental factors and environmental quality is crucial for effective policy implementation to achieve environmental sustainability. This study examines the influence of economic growth, energy utilization,...

This study examines the dynamic relationship between Gross Domestic Product (GDP), Foreign Direct Investment (FDI), renewable energy consumption, trade openness, and open innovation in the United States using the Autoregressive Distributed Lag (ARDL) methodology. The analysis covers annual data...

Purpose - The main purpose of this study is to evaluate the threshold impact of foreign direct investment (FDI) on Ghana's trade balance. Design/methodology/approach - The study used annual time-series data, spanning 1980-2022. The study employed the autoregressive distributed lag (ARDL) models,...

This study analyses the intricate connection between tourism and economic growth, emphasising significant gaps in existing literature. The study utilises a comprehensive framework encompassing tourism-led economic growth (TLEG) and economy-driven tourism growth (EDTG), highlighting the...

In the aftermath of global financial crises and amid increasing complexity in banking operations, understanding and managing various types of risk - especially liquidity, credit, and solvency risks - has become a global concern for financial stability. This study addresses a critical gap in the...

The study aims to analyze the economic effects of population ageing in Japan, Spain, Italy, the United States, South Korea, Germany, France, the United Kingdom, and Canada using the panel ARDL (Autoregressive Distributed Lag) model. GDP per capita was adopted as the dependent variable, while the...

The tourism industry is highly susceptible to global economic fluctuations and uncertainties. Understanding the asymmetric effects of macroeconomic factors on tourism demand is crucial for developing effective policies and strategies in the sector. This study examines the asymmetric impacts of...

In this study, we present a comprehensive analysis to examine the resilience of tourism in Vietnam since the Doi Moi period. Using an augmented Solow framework, data from 1986 to 2020, and the ARDL approach, we estimate the long-run and short-run effects, whilst accounting for model-specific...

We analyze the impact of negative reference rates on the interest rate behavior of more than 500 Austrian banks from 2009Q1 to 2021Q4. Using panel vector error correction analysis with the Engle-Granger procedure in two steps, we establish a cointegration vector that links bank-specific lending...

We extend existing data sets for domestic and foreign private and public R&D stocks as well as labour-augmenting technical change data based on CES production functions. We cover slightly more periods and many more countries, now 44 up from 17. We consider panel unit root issues for a large...

This study examines the relationship between banking sector development (credit and deposits) and economic growth in Ecuador, using quarterly data for the period 2000-2022. An ARDL approach with Bound Test cointegration is employed, incorporating structural breaks using the Bai-Perron test and...

We examine the effects of debt distribution characteristics, specifically skewness and maturity concentration, on sovereign yields across OECD countries over the period 1995Q1 to 2020Q4. After computing specific Lorenz curves and Gini coefficients, we find that positive skewness generally exerts...

In the early 1980s, Turkey took steps towards financial liberalization. Accordingly, policymakers have implemented policies for the development of the financial system. Since then, developments in the banking sector have driven economic growth and met the private sector's demand for funds. The...