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      Does patents on environmental technologies matter for the ecological footprint in the USA? Evidence from the novel Fourier ARDL approach

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      Geoscience Frontiers
      Elsevier BV

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          Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic Co-operation and development countries

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            Investigation of environmental Kuznets curve for ecological footprint: The role of energy and financial development

            Climate change has become a global phenomenon due to its threat to sustainable development. However, economic development plays a complementary role in both climate change and sustainability. Thus, the environmental Kuznets curve hypothesis is critical to climate change policy formulation and development strategies. Accordingly, this study examined the validity of environmental Kuznets curve hypothesis by investigating the relationship between economic growth, energy consumption, financial development, and ecological footprint for the period from 1977 to 2013 in 11 newly industrialized countries. For this purpose, the study employed both augmented mean group (AMG) estimator and heterogeneous panel causality method which are suitable for dependent and heterogeneous panels. The results of the estimator show that there is an inverted U-shaped relationship between economic growth and ecological footprint. According to the causality test results, it is concluded that there is bi-directional causality between economic growth and ecological footprint.
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              Dynamic impact of trade policy, economic growth, fertility rate, renewable and non-renewable energy consumption on ecological footprint in Europe

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                Author and article information

                Contributors
                (View ORCID Profile)
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                Journal
                Geoscience Frontiers
                Geoscience Frontiers
                Elsevier BV
                16749871
                July 2023
                July 2023
                : 14
                : 4
                : 101564
                Article
                10.1016/j.gsf.2023.101564
                dcd5cd46-34b6-455d-9a3b-678a26c33b7a
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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