486 Results Found

Morocco is facing a situation of alarming water stress, aggravated by climate change, overexploitation of resources, and unequal distribution of water, placing the country among the most vulnerable to water scarcity in the MENA region. This study aim...

We analyze the fiscal sustainability hypothesis for a panel of 20 European Union countries from 2000 to 2019. In particular, we employ new econometric methodologies that, to the best of our knowledge, are applied for the first time to the study of so...

This paper attempts to examine whether socioeconomic volatility produces differentiated effects on road traffic accident indicators. Adopting the Autoregressive distributed lag error-correction model (ARDL-ECM), this paper explores the long-term equi...

Saudi Arabia implements a wide range of non-tariff measures on imports and exports. Different research articles have quantified the effect of non-tariff measures on trade, but their effect on Saudi Arabia has not been quantified. The major objective...

This study intends to shed light on the environmental impacts of energy decisions in South Korea by analyzing the correlation between energy consumption patterns and environmental indicators such as carbon dioxide emissions. In 2021, global CO₂ emiss...

This study investigates the impact of key economic variables on carbon dioxide (CO₂) emissions in Ecuador within the broader context of sustainable development. Annual data from 1990 to 2022 are analyzed using an Autoregressive Distributed Lag (ARDL)...

This paper analyzes the impact of exchange rate volatility on economic growth under various exchange rate regimes. It empirically examines this issue in 14 emerging countries from 1990 to 2020. This study has three particularities: First, we use the...

Both technological innovation and foreign direct investment have received widespread attention in the literature on their role in promoting economic growth. Therefore, this study aims to test the relationship between foreign direct investment, techno...

This study examines the determinants of food price inflation in Morocco using a comprehensive econometric framework based on an Autoregressive Distributed Lag (ARDL) model. Relying on monthly data and controlling for major structural shocks, the anal...

McArdle disease is a rare autosomal recessive disorder caused by mutations in the PYGM gene. This gene encodes for the skeletal muscle isoform of glycogen phosphorylase (myophosphorylase), the first enzyme in glycogenolysis. Patients with this disord...

McArdle disease is an autosomal recessive disorder of muscle glycogen metabolism caused by pathogenic mutations in the PYGM gene, which encodes the skeletal muscle-specific isoform of glycogen phosphorylase. Clinical symptoms are mainly characterized...

This study analyses the dynamics of the energy transition within the SPRING-F group (Spain, Poland, Romania, Italy, the Netherlands, Germany, France) through a hybrid approach that combines econometric panel ARDL models with machine learning algorith...

McArdle disease is a rare autosomal recessive condition caused by mutations in the PYGM gene. This gene encodes the skeletal muscle isoform of glycogen phosphorylase or myophosphorylase. Patients with McArdle disease have an inability to obtain energ...

This study aims to address the persistent regional economic disparities in Romania by evaluating economic performance through Panel Autoregressive Distributed Lag (pARDL) and panel quantile regression (PQR) models. The analysis focuses on the impact...

This research examined the long-run effect of climate change on food security in Malawi, Madagascar, Mozambique and Zimbabwe using the Autoregressive Distributed Lag (ARDL) model. The study used nine variables for quantitative analysis using data for...

As the sustainability of the environment is a very much concerning issue for developed countries, the drive of the paper is to reveal the effects of nuclear, environment-friendly, and non-friendly energy, population, and GDP on CO₂ emission for Italy...

Based on the autoregressive distribution lag (ARDL) model, this paper conducts an empirical study on the relationship between carbon emissions, economic growth, urbanization, and foreign trade in China from 1971 to 2020. The results show that when ca...

China is a country with one of the most disaster losses in the world. In this paper, a comprehensive evaluation of disaster losses in China was carried out based on the TOPSIS model of entropy weight. Then, linear and nonlinear models were establishe...

This study examines the impact of female education and other control variables such as trade openness, per capita GDP, urbanization, and male employment on women’s employment opportunities in South Asian countries. The annual data from 1990 to...

Energy is one of the most important drivers of economic growth, but as the population is increasing, in normal circumstances, in all countries of the world, there is a demand for energy produced from conventional resources. Increasing prices of conve...

Given the context of the COVID-19 pandemic disrupting global logistics, coupled with the Russia–Ukraine war causing global energy price changes, examining both the linear and nonlinear associations between shipping cost and oil price is crucial...

This study examines the determinants of U.S. CO₂ emissions and provides evidence to inform more effective carbon-reduction policies. Using Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models, the analysis covers January 1997 to Fe...

Deforestation is a central topic in the ongoing environmental degradation stemming from global economic expansion and population growth. This study delved into the effects of electricity production from renewable sources, GDP per capita, and urbaniza...

In academic discussions about how to achieve sustainable growth in the world, it is stated that this is not possible without spending on research and development and innovative activities so that countries can maintain their competitiveness in the gl...

Based on a panel ARDL (AutoRegressive Distributed Lag) model, this paper investigates the environmental and economic consequences of energy tax levied in the four Nordic countries and the G7 countries from 1994 to 2016. Based on the double dividend t...

This article aims to examine the dynamic relationships between foreign direct investment inflows, information and communication technologies, and economic growth in a sample of 15 Arab countries over the period 1995–2019 by employing a panel AR...

The Circular Economy represents an essential strategy for a more sustainable future, both for the environment and for the economy and society. The main purpose of this article is to conduct a holistic analysis that highlights Romania’s perspect...

This study investigates the short- and long-run drivers of natural gas consumption in the European Union using an ARDL bounds testing approach. The analysis incorporates GDP per capita, liquid fuel use, and solid fuel use as explanatory variables. Au...

This research studies the impact of a number of climate change features on the severity of traffic accidents in Jordan. This case study is based on monthly data collected from six meteorological stations. The relationship between climate and accident...

This paper is the first of its kind to measure the income level of a country’s tourist arrival and empirically examine its impact on economic growth and environmental pollution in a sample of eight Mediterranean countries. The paper undertakes...

This paper uses an autoregressive distributed lag model (ARDL) to examine the dynamic impact of non-fossil energy consumption on carbon dioxide (CO₂) emissions in China for a given level of economic growth, trade openness, and energy usage between 19...

The goal of this study is to detect linear and nonlinear causal pathways toward climate change as measured by changes in global mean surface temperature and global mean sea level over time using a data-based approach in contrast to the traditional ph...

This study attempts to investigate the effects of global climate change (via temperature and rainfall) on cereal production in Sichuan over the 1978–2018 period, whether agricultural credit combining with technical progress (i.e., mechanical fa...

In a globally interconnected economy marked by volatility, this study employs the Autoregressive Distributed Lag (ARDL) model to examine financial contagion’s impact on Romania’s financial stability. It investigates both conventional and...

This study explored the complex interplay and potential risk of financial contagion across major financial indices, focusing on the Bucharest Exchange Trading Investment Funds Index (BET-FI), along with global indices like the S&P 500, Nasdaq Com...

Improving energy efficiency is vital for addressing climate change and reducing carbon emissions in emerging economies. Financial development (FD) is crucial for economic growth, and its environmental impact and the adjustment of the industrial struc...

Climate change has emerged as a global challenge because of its threat to sustainable development goals. Fossil fuels and economic growth are responsible for pollution and, thus, for climate change. In this context, this study explored the environmen...

This paper examines the linkages in financial markets during coronavirus disease 2019 (COVID-19) pandemic outbreak. For this purpose, daily stock market returns were used over the period of December 31, 2019–April 20, 2020 for the following eco...

Renewable energy represents a crucial resource in the efforts to combat climate change and reduce dependence on fossil fuels. In the past few decades, Romania has lessened its environmental footprint and played an important role in actions against cl...

The COVID-19 pandemic is considered to be the world’s most urgent health disaster and the greatest challenge humanity has faced since World War II. One of the most significant concerns is the effectiveness of the extraordinary efforts undertaken arou...

This article considers the relationship between trade intensity, energy consumption, income per capita, and carbon dioxide emissions from 1970–2016 for the Portuguese economy. Considering the arguments of monopolistic competition, the article tests t...

In the literature, very few studies have focused on how urbanisation will influence the policy effects of a climate policy even though urbanisation does have profound socioeconomic impacts. This paper has explored the interrelations among the urbanis...

This paper aims to examine the effects of economic policy uncertainty (measured by the World Uncertainty Index—WUI) on the level of CO₂ emissions in the United States for the period from 1960 to 2016. For this purpose, we consider the unit root...

Under the background that environmental tax has increasingly become the main means of environmental governance in various countries, it is particularly important to study the effect of environmental tax on reducing pollutants and then put forward sug...

This paper revisited the link between intra-industry trade (IIT) between Portugal and Spain and Portuguese carbon dioxide (CO₂) emissions. The research also considers the effects of foreign direct investment (FDI) on CO₂ emissions, pondering the argu...

Water, an indispensable resource for life and not a complete substitute, is indispensable for energy production, industry, agriculture, and ecosystem sustainability. In particular, the limited and unequal distribution of freshwater reserves makes wat...

As a small and open economy, Uruguay is highly exposed to international and regional shocks that affect domestic uncertainty. To account for this uncertainty, we construct two geometric uncertainty indices (based on the survey of industrial expectati...

The objective of this paper was to investigate, with respect to the case of Mexico, the relationship between international tourism and the magnitude of poverty during the period of 1980–2017, through the use of an autoregressive distributed lag...

The sustainable environment has been a desired situation around the world for the last few decades. Environmental contaminations can be a consequence of various economic activities. Different socio-economic factors influence the environment positivel...

The aim of this study is to explore the impact of economic growth (GDP), energy consumption, foreign direct investment, oil price, and exports on carbon emissions by employing yearly time series data for Italy for the period 1971–2019. For this...