Literature DB >> 31787295

Energy innovations and environmental sustainability in the U.S.: The roles of immigration and economic expansion using a maximum likelihood method.

Sakiru Adebola Solarin1, Mufutau Opeyemi Bello2.   

Abstract

Environmental degradation remains a huge obstacle to sustainable development. Research on the factors that promote or degrade the environment has been extensively conducted. However, one important variable that has conspicuously received very limited attention is energy innovations. To address this gap in the literature, this study investigated the effects of energy innovations on environmental quality in the U.S. for the period 1974 to 2016. We have incorporated GDP and immigration as additional regressors. Three indices comprising of CO2 emissions, ecological footprint and carbon footprint were used to proxy environmental degradation. The cointegration tests established long-run relationships between the variables. Using a maximum likelihood approach with a break, the results showed evidence that energy innovations significantly improve environmental quality while GDP degrades the quality of the environment, and immigration has no significant effect on the environment. Policy implications of the results are discussed in the body of the manuscript.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Emission; Energy innovations; Footprint; Maximum likelihood; STIRPAT

Year:  2019        PMID: 31787295     DOI: 10.1016/j.scitotenv.2019.135594

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Influence of green technology, green energy consumption, energy efficiency, trade, economic development and FDI on climate change in South Asia.

Authors:  Gulzara Tariq; Huaping Sun; Imad Ali; Amjad Ali Pasha; Muhammad Sohail Khan; Mustafa Mutiur Rahman; Abdullah Mohamed; Qasim Shah
Journal:  Sci Rep       Date:  2022-09-30       Impact factor: 4.996

  1 in total

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