The aim of this study is to investigate the impacts of economic growth, energy consumption, and the economic globalization process on ecological footprints in the top 10 countries that cause the highest carbon dioxide emissions in the world. The analyses were conducted on annual observations from 1970 to 2017 (a different range for each country) employing the Fourier bootstrap ARDL cointegration method developed by Yilanci et al. (2020) and the Fourier bootstrap Toda-Yamamoto causality method developed by Nazlioglu et al. (2016). In the cointegration approach, an additional F-test provides better insights to define degenerate cases and the bootstrap test performance is powerful than the asymptotic test. In this context, Fourier bootstrap ARDL test results revealed that there is a long-term relationship between ecological footprint and economic growth, energy consumption, and economic globalization in seven countries-namely, Canada, China, Germany, India, Indonesia, Iran, and Saudi Arabia. According to long-run coefficients, in general, economic growth and energy consumption have negative effects on ecological footprint, whereas economic globalization has a positive effect on the ecological footprint for these countries. To evaluate it more specifically, (i) real gross domestic product per capita has positive and statistically significant coefficients on the ecological footprint in China, India, Indonesia, Iran, and Saudi Arabia, except for Germany. (ii) Energy consumption per capita also has positive and statistically significant coefficients on the ecological footprint in China, Germany, Iran, and Saudi Arabia, except for Indonesia. (iii) Finally, the economic globalization process has negative and statistically significant coefficients on the ecological footprint in Canada, China, India, and Saudi Arabia, except for Indonesia. On the other hand, Fourier bootstrap Toda-Yamamoto causality test results show a mixed character. Governments should take action to reduce the negative effects of the climate crisis as immediate as possible, which has been widely expressed recently. Among these, increasing the use of renewable energy sources and new carbon-free technologies in the production process appears as important policy tools.
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Environ Monit Assess
January 2025
Treeline Ecological Research, 21551 Twp Rd 520, Sherwood Park, Alberta, T8E 1E3, Canada.
Based on analysis of documents obtained in public databases and under freedom of information requests, this study assessed the Alberta Energy Regulator's (AER) monitoring and management of bitumen tailings spills. The AER's claims of no environmental impacts at any tailings spills lack corroborative environmental data. Claims of perfect spill recovery in 75% of tailings spills are not supported by credible evidence.
View Article and Find Full Text PDFSci Rep
January 2025
College of Forestry, Guizhou University, Guiyang, 550025, Guizhou, China.
Evaluating and predicting how carbon storage (CS) is impacted by land use change can enable optimizing of future spatial layouts and coordinate land use and ecosystem services. This paper explores the changes in and driving factors of Zunyi CS from 2000 to 2020, predicts the changes in CS under different development scenarios, and determines the optimal development scenario. Woodland and farmland are the main land use types in Zunyi.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
The pursuit of materials, particularly plastics, with a minimal ecological footprint throughout their circular lifecycle, is crucial for advancing sustainable materials development. Living materials composed of embedded yet active organisms can leverage endogenous biotic resources to achieve functional materials that align with sustainability goals. However, current living material systems face challenges such as weak mechanical properties, limited environmental adaptability, and restricted cellular functionality.
View Article and Find Full Text PDFPublic Health Nurs
January 2025
Health Science Faculty Nursin department Undergraduate Student, Ondokuz Mayıs University, Samsun, Turkey.
Objective: This study aimed to determine the ecological footprint awareness and ecological intelligence levels of nurses working in a hospital.
Methods: This descriptive study was conducted with 290 nurses working in a hospital. The study data were collected using a descriptive questionnaire, "Ecological Intelligence Scale", and "Ecological Footprint Awareness Scale".
Am J Trop Med Hyg
December 2024
Graduate Program in Biological Sciences, Center for Research in Biological Sciences, Federal University of Ouro Preto, Ouro Preto, Brazil.
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