Natural disasters, deforestation, and emissions affect economic growth in Somalia.

This study ascertains the effect of natural disasters, deforestation, and emissions on economic growth in Somalia using annual time series spanning 1990-2018. Contrary to previous attempts, this study utilized the kernel regularized least squares (KRLS) technique, robust Granger causality in the presence of instabilities, and novel supremum right-tail Augment Dickey-Fuller unit root to test explosive behaviors in data series. While two date-stamped explosive behaviors are detected in economic growth (2003-2012, 2014-2016) and FDI (2004, 2016-2018), one explosive behavior is observed in capital formation (2010-2018) and population density (2010-2018).

Interdependency and causality between green technology innovation and consumption-based carbon emissions in Saudi Arabia: fresh insights from quantile-on-quantile and causality-in-quantiles approaches.

In this paper, we examined the asymmetric dynamics and causality of technological progress--proxied by green technology innovation--on both consumption-based carbon (CCO) and territory-based carbon (TCO) emissions in Saudi Arabia using quarterly data from 1990Q1 to 2021Q4. Our initial results reject the normality and linearity assumptions of data series and thus emphasize that the observed associations are quantile dependent. We firstly utilized the quantile-on-quantile regression (QQR) approach to draw the interdependency between green technology innovation and both CCO and TCO emissions.

Corrigendum: Association of household fuel with acute respiratory infection (ARI) under-five years children in Bangladesh.

[This corrects the article DOI: 10.3389/fpubh.2022.

Assessment of global fish footprint reveals growing challenges for sustainable production and consumption.

Globalization faces a tradeoff between meeting fish consumption demand for nutritious & healthy living and reducing the ecological footprint to achieve sustainable development. Here, we document drivers, historical trends, and mitigation options for global fish footprint using unevenly spaced data spanning 1961 to 2021 from over 200 economies while accounting for income classifications. We report a decline in fish production in developed countries, yet, their increased consumption demand per capita is met through overexploited stocks of fish imported from developing economies.

Mutual coupling between stock market and cryptocurrencies.

We examine the relationship between the top five cryptos and the U.S. S&P500 index from January 2018 to December 2021.

Insight into vaccination and meteorological factors on daily COVID-19 cases and mortality in Bangladesh.

The ongoing COVID-19 contagious disease caused by SARS-CoV-2 has disrupted global public health, businesses, and economies due to widespread infection, with 676.41 million confirmed cases and 6.77 million deaths in 231 countries as of February 07, 2023.

Do natural disasters affect economic growth? The role of human capital, foreign direct investment, and infrastructure dynamics.

Natural disasters do occur and have become a global problem due to increasing intensity. Developing countries are mostly affected due to natural disasters owing to a poor environment, feeble adaptation, impoverished socioeconomic conditions, poor infrastructure, limited resources, and unstable institutions. The SDG 11.

Association of household fuel with acute respiratory infection (ARI) under-five years children in Bangladesh.

In developing countries, acute respiratory infections (ARIs) cause a significant number of deaths among children. According to Bangladesh Demographic and Health Survey (BDHS), about 25% of the deaths in children under-five years are caused by ARI in Bangladesh every year. Low-income families frequently rely on wood, coal, and animal excrement for cooking.

Global land-use intensity and anthropogenic emissions exhibit symbiotic and explosive behavior.

The intensification of land use is accelerating and remains a threat to achieving environmental sustainability. Although prior literature identifies unsustainable demand for resources as crucial to ecosystem vitality, we highlight explosive behavior and indicators associated with changing global land-use intensity and emissions. We assess emission footprints, forestry, and agricultural land-use intensity across income groups.

Trading Kuznets curve: empirical analysis for China.

Due to inspiring growth over the past 20 years, the dynamics of Chinese exports have been the focus of many researchers. In contrast to current literature, this study examines the quadratic relationship between China's real exports to 154 partner countries and the income of trading partners from 1996 to 2019. The findings obtained from the second generational econometric analysis confirm cross-section dependence and heterogeneous slope among panel members.

Dataset on bitcoin carbon footprint and energy consumption.

Due to data limitations on bitcoin-related emissions, assessing the environmental impacts of bitcoin appear difficult. This data in brief article presents constructed daily frequency dataset on bitcoin annualised carbon footprint spanning July 7, 2010 to December 4, 2021 with 4,158 observations. The 12 data variables capture floor, ceiling, and optimal annualised carbon footprint from coal, oil, gas, and the average from the 3 sources.

COVID-19 pandemic improves market signals of cryptocurrencies-evidence from Bitcoin, Bitcoin Cash, Ethereum, and Litecoin.

The COVID-19 global pandemic has disrupted business-as-usual, hence, affecting sustained economic development across countries. However, it appears economic uncertainty following COVID-19 containment measures favor market signals of cryptocurrencies. Here, this study empirically and structurally investigates the implication of COVID-19 health outcomes on market prices of Bitcoin, Bitcoin Cash, Ethereum, and Litecoin.

Winners and losers of energy sustainability-Global assessment of the Sustainable Development Goals.

Energy sustainability plays a crucial role in achieving environmental sustainability, hence, underpins climate change mitigation. Yet, studies assessing the overarching effect of existing sustainability frameworks on energy production and consumption are limited. Here, we provide comprehensive assessment of energy sustainability across 217 countries and territories spanning 1960-2019.

Mitigating spread of contamination in meat supply chain management using deep learning.

Industry 4.0 recommends a paradigm shift from traditional manufacturing to automated industrial practices, especially in different parts of supply chain management. Besides, the Sustainable Development Goal (SDG) 12 underscores the urgency of ensuring a sustainable supply chain with novel technologies including Artificial Intelligence to decrease food loss, which has the potential of mitigating food waste.

Towards mitigating ecological degradation in G-7 countries: accounting for economic effect dynamics, renewable energy consumption, and innovation.

The 21 century economic growth is characterized by extensive production and consumption, which increases anthropogenic emissions. However, reducing emission levels require ecological sustainability through innovation and modern technological consideration. This paper investigated not only renewable energy-driven environmental quality but also captured innovation research investment in renewables within the framework of the environmental Kuznets curve (EKC) model for G-7 countries.

Asymmetric impact of energy utilization and economic development on environmental degradation in Somalia.

While there are enormous studies on climate change in stable countries, climate policy perspectives from conflict-prone regions including Somalia are limited. It is noteworthy that environmental degradation is an alarming issue that fuels the vulnerability of Somalia to climate change. To this end, this study investigates the asymmetric impact of energy and economic growth on environmental degradation in Somalia-by employing nonlinear autoregressive distributed lag model (NARDL) and causal techniques from 1985 to 2017.

COVID-19 pandemic and economic policy uncertainty regimes affect commodity market volatility.

This paper investigates the switching effect of COVID-19 pandemic and economic policy uncertainty on commodity prices. We employ Markov regime-switching dynamic model to explore price regime dynamics of eight widely traded commodities namely oil, natural gas, corn, soybeans, silver, gold, copper, and steel. We fit two Markov switching regimes to allow parameters to respond to both low and high volatilities.

Mitigating human-induced emissions in Argentina: role of renewables, income, globalization, and financial development.

Achieving environmental sustainability has become a global initiative while addressing climate change and its effects. However, the role of energy production and consumption in economic development remains critical amidst environmental pollution. Thus, the need for innovation and clean energy alternatives is critical while pursuing sustainable development.

Ambient air pollution and meteorological factors escalate electricity consumption.

The impact of climate change is evident in the variability of weather patterns, hence, affecting electricity generation and consumption. Existing literature examines the effect of humidity and temperature on energy, but suffers from omitted variable bias. Here, we adopt several parameters namely ambient air pollution, precipitation, surface pressure, dew-frost point, relative humidity, wind speed, earth skin temperature, cooling degree days, heating degree days, solar and wind generation, cumulative installed PV power, and wind turbine capacity, solar and wind electricity consumption, and energy price index to investigate the role of climatic and energy-related factors on households, industry sector, commercial and public service attributed electricity consumption in Norway.

Conflicts and ecological footprint in MENA countries: implications for sustainable terrestrial ecosystem.

Conflicts are socio-political pressures that alter wellbeing, social structure, and economic sustenance. However, very limited studies have assessed the long-term impact of conflicts on environmental sustainability. This study investigates the role of internal and external conflicts on ecological footprint in the Middle East and North African countries (MENA) over the period 1995-2016.

Global effect of city-to-city air pollution, health conditions, climatic & socio-economic factors on COVID-19 pandemic.

The rate of spread of the global pandemic calls for much attention from the empirical literature. The limitation of extant literature in assessing a comprehensive COVID-19 portfolio that accounts for complexities in the spread and containment of the virus underscores this study. We investigate the effect of city-to-city air pollutant species, meteorological conditions, underlying health conditions, socio-economic and demographic factors on COVID-19 health outcomes.