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The influence of technological innovation and human capital on environmental efficiency among different regions in Asia-Pacific
This study employs super-efficiency DEA model with desirable inputs and an undesirable output in calculating environmental efficiency values in different regions in Asia-Pacific from 1990 to 2018. The study compares environmental efficiency index in South East Asia, South Asia and East Asia. The stu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780903/ https://www.ncbi.nlm.nih.gov/pubmed/33398725 http://dx.doi.org/10.1007/s11356-020-12130-y |
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author | Twum, Florence Appiah Long, Xingle Salman, Muhammad Mensah, Claudia Nyarko Kankam, William Adomako Tachie, Andrew Kwamena |
author_facet | Twum, Florence Appiah Long, Xingle Salman, Muhammad Mensah, Claudia Nyarko Kankam, William Adomako Tachie, Andrew Kwamena |
author_sort | Twum, Florence Appiah |
collection | PubMed |
description | This study employs super-efficiency DEA model with desirable inputs and an undesirable output in calculating environmental efficiency values in different regions in Asia-Pacific from 1990 to 2018. The study compares environmental efficiency index in South East Asia, South Asia and East Asia. The study also evaluates the determinants of environmental efficiency using truncated regression. The mean environmental efficiency score demonstrates that East Asia region is highly efficient whereas South East Asia is the least efficient. Results from the truncated regression established an inverted U-shape relationship between environmental efficiency and Technological Innovation (TI) in the main panel, and the three regions. Also, economic growth shows an inverted “U” shape link with environmental efficiency in the panels except in South East Asia. Human capital promotes environmental efficiency in the main panel and the rest of the regions. Moreover, while FDI promotes environmental efficiency in the main panel and East Asia, it reduces environmental efficiency in both South East and South Asia regions within the Asia-Pacific. In addition, an interaction effect between technological innovation and renewable energy use, advances environmental efficiency within the entire study countries. Based on the findings the study proposes several policy recommendations. |
format | Online Article Text |
id | pubmed-7780903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-77809032021-01-05 The influence of technological innovation and human capital on environmental efficiency among different regions in Asia-Pacific Twum, Florence Appiah Long, Xingle Salman, Muhammad Mensah, Claudia Nyarko Kankam, William Adomako Tachie, Andrew Kwamena Environ Sci Pollut Res Int Research Article This study employs super-efficiency DEA model with desirable inputs and an undesirable output in calculating environmental efficiency values in different regions in Asia-Pacific from 1990 to 2018. The study compares environmental efficiency index in South East Asia, South Asia and East Asia. The study also evaluates the determinants of environmental efficiency using truncated regression. The mean environmental efficiency score demonstrates that East Asia region is highly efficient whereas South East Asia is the least efficient. Results from the truncated regression established an inverted U-shape relationship between environmental efficiency and Technological Innovation (TI) in the main panel, and the three regions. Also, economic growth shows an inverted “U” shape link with environmental efficiency in the panels except in South East Asia. Human capital promotes environmental efficiency in the main panel and the rest of the regions. Moreover, while FDI promotes environmental efficiency in the main panel and East Asia, it reduces environmental efficiency in both South East and South Asia regions within the Asia-Pacific. In addition, an interaction effect between technological innovation and renewable energy use, advances environmental efficiency within the entire study countries. Based on the findings the study proposes several policy recommendations. Springer Berlin Heidelberg 2021-01-04 2021 /pmc/articles/PMC7780903/ /pubmed/33398725 http://dx.doi.org/10.1007/s11356-020-12130-y Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Article Twum, Florence Appiah Long, Xingle Salman, Muhammad Mensah, Claudia Nyarko Kankam, William Adomako Tachie, Andrew Kwamena The influence of technological innovation and human capital on environmental efficiency among different regions in Asia-Pacific |
title | The influence of technological innovation and human capital on environmental efficiency among different regions in Asia-Pacific |
title_full | The influence of technological innovation and human capital on environmental efficiency among different regions in Asia-Pacific |
title_fullStr | The influence of technological innovation and human capital on environmental efficiency among different regions in Asia-Pacific |
title_full_unstemmed | The influence of technological innovation and human capital on environmental efficiency among different regions in Asia-Pacific |
title_short | The influence of technological innovation and human capital on environmental efficiency among different regions in Asia-Pacific |
title_sort | influence of technological innovation and human capital on environmental efficiency among different regions in asia-pacific |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780903/ https://www.ncbi.nlm.nih.gov/pubmed/33398725 http://dx.doi.org/10.1007/s11356-020-12130-y |
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