Shark fin is one of Asia's most valued dried seafood products, with over 80 shark species traded in Hong Kong [HK]. We analyzed processed shark fins from mainland China and HK markets (n = 267) for mercury, methyl‑mercury, and arsenic, to inform consumers, policy makers and public health officials on the health risks of ingesting fins from nine of the most common shark species in the fin trade. Fins from all species frequently exceed Hg limits established by HK authorities. Most of the mercury found is in the form of methyl‑mercury (69.0 ± 33.5%). Five species surpass methyl‑mercury PTWIs and blue shark fins can exceed inorganic arsenic BMDL₀.₅. Species-of-origin was a significant predictor of heavy metal concentrations, with higher mercury concentrations associated with coastal sharks and lower arsenic levels found with increasing shark trophic level. Species-specific labeling would help consumers avoid shark fin products that pose the highest health risk.

How do Chinese provinces perform in their commitments to carbon emission responsibility? This study extends the carbon emission responsibility allotment proposed by Dietzenbacher et al. (Nat Commun 11:1130, 2020) to a national multi-region setting to analyze provincial, industrial, and bilateral trade emission responsibility allotment in China. This paper uses China’s latest multi-region input-output tables in 2012 and 2015, and finds that based on the total amount of ERA carbon emissions, the province with the largest carbon emission responsibility in 2012 is Shandong, followed by Jiangsu and Hebei. From the perspective of industry, the construction is the highest carbon emissions in each province, followed by general and specialist machinery. In the allocation of carbon emissions responsibility in 2015, the credit between Xinjiang and Jiangsu is the largest; Guangdong and Jiangsu have the largest penalty. Among total credits which the province’s trade with others, Xinjiang has the highest credit, followed by Shanghai and Jiangsu; among total penalties which the province trade with others, Guangdong Province is the largest penalty province, followed by Guangxi.

This article investigates the effects of real income, trade openness, and energy consumption on the ecological footprint using a panel data of 13 Asian countries over the 1973–2014 period. The empirical findings suggest that the panel variance-ratio test confirms the existence of a long-run equilibrium relationship among ecological footprint real income, trade openness, and energy consumption. Results from panel pooled mean group estimates confirm that the long-run elasticity of real income, trade openness, and energy consumption is 0.16, −0.07, and 0.51, respectively. The real income and energy consumption have a positive impact on the ecological footprint. There are three bidirectional causal relationships that were found between ecological footprint and real income; between energy consumption and ecological footprint; and between trade openness and ecological footprint. In addition, three unidirectional causalities can be found: a unidirectional causality running from real income to trade openness; from real income to energy consumption; and from trade openness to energy consumption. Those causal relationships show that economic indicators are highly related to ecological footprint. The findings recommend that various governments should fund more in renewable energy and efficiency upgrade and continue sustaining their growth without hurting the environment.

The role of capital abundance and income in the trade openness and environmental quality debate has long been a concern among academic researchers. The researchers of this paper empirically analyze the effects of trade and other core factors on emissions of four pollutants (SO₂, SM, VOC, and NHX), using panel data from 31 provinces in China from 2000 to 2015. Then the scale, composition, technique, and trade elasticities are calculated, based on lower and higher levels of capital abundance and relative income. Furthermore, the researchers calculate the province-specific trade elasticities and analyze the relationship between the province-specific trade elasticities and capital abundance and relative income, respectively. They find a negative effect of trade openness on pollutant emissions in China. The analysis of the elasticities in terms of China’s pollutant emissions shows that the scale and composition elasticities are positive, while technique and trade elasticities are negative. Moreover, provinces with lower capital abundance tend to have more negative trade elasticities, while provinces with higher relative income tend to have more negative trade elasticities. The result implies that both pollution haven effect and factor abundance effect may be at work in Chinese provinces, but the dominance of one effect over the other depends on a province’s level of capital abundance and income.

The scholars of environmental economics have attempted the investigation of the impact of foreign direct investment-growth nexus, but they have missed the essential role played by technological innovation and financial development regarding the environmental costs. The notable economic growth and the consequent speedy process of urbanization in BRICS countries have brought about colossal escalation of energy needs leading to environmental degradation. The present study endeavors to explore the effect of foreign direct investment, technological innovation, and financial development on carbon emissions in BRICS member countries, with data from 1990 to 2017. The results verify a strong cross-sectional dependence within the panel countries. The Augmented Mean Group (AMG) estimator shows that foreign direct investment, technological innovation, and financial development in the BRICS countries possess a negative and statistically significant long-run association with CO₂ emissions, while economic growth, trade openness, urbanization, and energy use are found to contribute statistically significant and positive with carbon emissions. The current study chose to employ the Dumitrescu and Hurlin panel causality test for examining the direction of causality. Findings reveal a bidirectional long-run causality running among financial development, economic growth, trade openness, urbanization, energy use, and CO₂ emissions; on the contrary, unidirectional causality is found between foreign direct investment and carbon emissions. Consequently, for the BRICS member countries, the development of industries, financial institutions, and development of technological innovation are required to attract quality foreign direct investment. Moreover, urbanization contributes enormously to environmental degradation and necessitates urgent policy responses in these countries.

Environmental degradation has become an important global issue due to the extraordinary increase in greenhouse gas emissions in recent years. Therefore, identifying the main determinants of environmental degradation is one of the primary agenda items of researchers and policymakers. In the literature, many social, economic, and sectorial factors related to the main determinants of CO₂ emissions have been studied. Although these studies provide very important information about the causes of CO₂ emissions and environmental degradation, some deficiencies remain in the related literature. The agricultural sector activities, which are an important sector at a global level and have significant potential impacts on CO₂ emissions, have not been adequately studied. In order to fill this gap, the effects of agriculture and renewable energy on CO₂ emissions were examined for lucky-seven countries during the period 1995–2014. The results of panel cointegration reveal the presence of long-run nexus among the variables. While the findings indicate that agriculture increases CO₂ emissions, renewable energy is a very important catalyst in reducing CO₂ emissions in lucky-seven countries. We also found that economic growth and energy consumption enhance CO₂ emissions and trade openness decreases. Panel VECM results indicate that variables are the causes of CO₂ emission in the long run. Also, we find that economic growth is the cause of CO₂ emissions in the short run.

Environment-economic growth nexus is one of the main concerns of the researchers in the modern era. Although there are several studies in this field, discussions are far from being reached a consensus. The main purpose of this study is to investigate the role of economic growth, renewable and non-renewable energy consumption, oil prices, and trade openness on CO2 emissions in 25 Organization for Economic Co-operation and Development (OECD) countries over the period 1990–2014. We provide a comparative panel data evidence using both the first- and second-generation estimation methods. The Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) estimations indicate that the Environmental Kuznets Curve (EKC) hypothesis is valid in OECD countries. However, the Augmented Mean Group (AMG) estimator revealed that the EKC hypothesis is invalid. The AMG estimator is a second-generation estimator and provides robust results under cross-sectional dependence compared to the first-generation methods; therefore, the EKC hypothesis is invalid. Our additional findings show that rising renewable energy consumption and oil prices mitigate CO2 emissions while non-renewable energy consumption increases it according to all estimators. No significant relationship is found between trade openness and CO2 emissions.

Globalization is the paradigm shift to a more integrated world economy broadly shaping economies and societies around the globe. The wave of globalization is much more eminent on its impact on increased energy demand, knowledge and technology transfer, trade, and financial capital flows. The present study focuses on Turkey, a fast-emerging economy that is no exception to the wave of globalization. This current study explores the dynamics between ecological footprints, energy consumption, and real income level for the case of Turkey in a carbon-income function while accounting for other covariate like globalization to avoid omitted variable bias. The study data spans from 1970 to 2017 on an annual frequency basis. The stationarity properties of the outlined variables were investigated. Subsequently, the equilibrium relationship between the variables is confirmed by the battery of recent robust estimation techniques. While to detect the causality of direction among the variables, the Modified Wald test causality test is utilized. This study reveals that an increase in energy consumption in Turkey reduces environmental pollution by a magnitude of 0.37% in the short run and 0.43% long run, while an increase in economic expansion dampens the quality of the environment 0.42% and 0.72% on both short and long-run basis. This is indicative given that Turkey is more energy conscious and energy efficient, while a positive statistically significant relationship is observed between real income level and ecological footprint and globalization index. The causality analysis also supports the growth-induced energy consumption hypothesis. The study further offers policy direction for the energy sector in Turkey in the face of global interconnectedness.

To mitigate environmental problems and to achieve sustainability, China is striving to transition to low-carbon urban economies. Among several significant steps, the country has made remarkable success in controlling the emissions from transportation, buildings, and energy by shutting down or relocating several polluting industries. This study contributes to the issue of sustainable growth debate using time series data from China for the period 1998–2017 and empirically examines the effects of green investment and renewable energy consumption on production-based carbon emissions for China. The strength of this study is that it tested some new variables such as production-based carbon emissions and green investment. Using autoregressive distributed lag model (ARDL) cointegration technique, we found that production-based emission and its determinants move together in the long run. The study found that green investment and renewable energy consumption are both helpful in controlling production-based carbon emissions, while trade openness increases production-based carbon emissions. Hence, green investment and renewable energy consumption contribute to the achievement of sustainable growth. Moreover, based on a robustness check, human capital, financial development, and environment-specific technological innovation are found to be helpful in curbing production-based carbon emissions. Our study recommends financial technology (fin-tech), green investment, and public-private partnership investment in renewable energy to mitigate the effect of production-based carbon emissions.

Recently, there has been renewed interest in the relationship between economic globalization and environmental pollution since various globalization indices are developed. Although several attempts have been made to investigate the impact of globalization on the environment, no known empirical research has focused on exploring the causal relationship between ecological footprint and economic globalization index (provided by KOF Swiss Economic Institute) considering also its subcomponents—trade and financial globalization indices. In this study, a new panel data technique for the causality analysis is developed (namely, panel Fourier Toda-Yamamoto approach) and applied to ecological footprint-economic globalization nexus in 14 MENA (Middle East and North Africa) countries during the period 1981–2016. The empirical results highlight that ecological footprint Granger causes economic, trade, and financial globalization for the panel. Besides, it is found that financial globalization has a predictive power to predict further values of environmental degradation in the MENA countries. The empirical results of this paper have a number of practical implications for policymakers. Especially, policymakers should be careful about implementing environmental policies since they may affect economic (trade and financial) activities negatively.