There is a disagreement on the concept, definition and application of the paradigm of sustainable development. The definition that has been accepted by many involves several components, and it is difficult to measure or quantify indicators. Depending on the structure of the economy, it is...

The purpose of this study was to examine interrelationship and causal linkages between socioeconomic and environmental variables in OECD countries. To aid this study, a LISREL modelling tool was implemented. The findings of the study indicated that gross public debt increases with deterioration...

This research uses annual time series data on CO2 emissions in China from 1960 to 2017, to model and forecast CO2 using the Box – Jenkins ARIMA approach. Diagnostic tests indicate that China CO2 emission data is I (2). The study presents the ARIMA (1, 2, 1) model. The diagnostic tests further...

Trend analysis and forecasting of time series data on air-pollutants is important to design effective measures to minimize damages to ecosystems and human health. In this study, autoregressive, moving average, autoregressive-moving average and autoregressive integrated moving average processes...

This paper observes the possible co-movements of oil price and CO2 emissions in China by following wavelet coherence and wavelet partial coherence analyses to be able to depict short-run and long-run co-movements at both low and high frequencies. To this end, this research might provide the...

There has been a lot of debate regarding the impact of emissions of pollutants on human health and the environment. Epidemiological studies tend to show the impact of increased ambient concentrations of pollutants on increased hospital admissions, mortality, morbidity, respiratory problems, etc....

Stablecoins are a pivotal and debated topic within decentralized finance (DeFi), attracting significant interest from researchers, investors, and crypto-enthusiasts. These digital assets are designed to offer stability in the volatile cryptocurrency market, addressing key challenges in...

The ability of Google Trends data to forecast the number of new daily cases and deaths of COVID-19 is examined using a dataset of 158 countries. The analysis includes the computations of lag correlations between confirmed cases and Google data, Granger causality tests, and an out-of-sample...

Sergey Aivazian was the head of my department at the Moscow School of Economics, but he was much more than that. He played an important role in my life, and he contributed to my studies devoted to copula modelling. This small memoir reports how this amazingly polite and smart scientist helped me...

The paper compares one-period ahead forecasting performance of linear vector-autoregressive (VAR) models and single-equation Markov-switching (MS) models for two cases: when leading information is available and when it is not. The results show that single-equation MS models tend to perform...