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How does renewable energy technology innovation affect manufacturing carbon intensity in China?
Renewable energy technology innovation (RETI) is a crucial driver for promoting the manufacturing green transformation. However, few studies have explored the impact of RETI on manufacturing carbon intensity (MCI) from the perspective of spatial spillover and regional boundary. Based on the manufact...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990506/ https://www.ncbi.nlm.nih.gov/pubmed/35394630 http://dx.doi.org/10.1007/s11356-022-20012-8 |
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author | Xin, Long Sun, Hui Xia, Xuechao Wang, Hui Xiao, Hanyue Yan, Xinjie |
author_facet | Xin, Long Sun, Hui Xia, Xuechao Wang, Hui Xiao, Hanyue Yan, Xinjie |
author_sort | Xin, Long |
collection | PubMed |
description | Renewable energy technology innovation (RETI) is a crucial driver for promoting the manufacturing green transformation. However, few studies have explored the impact of RETI on manufacturing carbon intensity (MCI) from the perspective of spatial spillover and regional boundary. Based on the manufacturing panel data of 30 provinces in China from 2006 to 2020, this study examines the mechanism, spatial spillover effects, regional boundaries, and industry heterogeneity of RETI on MCI using the spatial Durbin model. The results show that (1) RETI significantly inhibits local and neighboring MCI. (2) The spatial spillover effect of RETI on MCI has a significant regional boundary, which is inhibitory in the range of 800 km and shows a significant “half-decay” characteristic at 400 km. However, in the range of 800 to 1400 km, RETI significantly promotes neighboring MCI. (3) The inhibitory effect of RETI on MCI has temporal and regional heterogeneity, which gradually increases over time, and the effect from high to low is central, west, and east. (4) RETI has a significant inhibitory effect on MCI of pollution-intensive, high-income, capital-intensive, and labor-intensive manufacturing in local and neighboring areas, but it has a more negligible effect on non-pollution-intensive, low-income, and technology-intensive MCI. The findings provide empirical evidence for formulating targeted and differentiated policy in manufacturing low-carbon development. |
format | Online Article Text |
id | pubmed-8990506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-89905062022-04-11 How does renewable energy technology innovation affect manufacturing carbon intensity in China? Xin, Long Sun, Hui Xia, Xuechao Wang, Hui Xiao, Hanyue Yan, Xinjie Environ Sci Pollut Res Int Research Article Renewable energy technology innovation (RETI) is a crucial driver for promoting the manufacturing green transformation. However, few studies have explored the impact of RETI on manufacturing carbon intensity (MCI) from the perspective of spatial spillover and regional boundary. Based on the manufacturing panel data of 30 provinces in China from 2006 to 2020, this study examines the mechanism, spatial spillover effects, regional boundaries, and industry heterogeneity of RETI on MCI using the spatial Durbin model. The results show that (1) RETI significantly inhibits local and neighboring MCI. (2) The spatial spillover effect of RETI on MCI has a significant regional boundary, which is inhibitory in the range of 800 km and shows a significant “half-decay” characteristic at 400 km. However, in the range of 800 to 1400 km, RETI significantly promotes neighboring MCI. (3) The inhibitory effect of RETI on MCI has temporal and regional heterogeneity, which gradually increases over time, and the effect from high to low is central, west, and east. (4) RETI has a significant inhibitory effect on MCI of pollution-intensive, high-income, capital-intensive, and labor-intensive manufacturing in local and neighboring areas, but it has a more negligible effect on non-pollution-intensive, low-income, and technology-intensive MCI. The findings provide empirical evidence for formulating targeted and differentiated policy in manufacturing low-carbon development. Springer Berlin Heidelberg 2022-04-08 2022 /pmc/articles/PMC8990506/ /pubmed/35394630 http://dx.doi.org/10.1007/s11356-022-20012-8 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 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 Xin, Long Sun, Hui Xia, Xuechao Wang, Hui Xiao, Hanyue Yan, Xinjie How does renewable energy technology innovation affect manufacturing carbon intensity in China? |
title | How does renewable energy technology innovation affect manufacturing carbon intensity in China? |
title_full | How does renewable energy technology innovation affect manufacturing carbon intensity in China? |
title_fullStr | How does renewable energy technology innovation affect manufacturing carbon intensity in China? |
title_full_unstemmed | How does renewable energy technology innovation affect manufacturing carbon intensity in China? |
title_short | How does renewable energy technology innovation affect manufacturing carbon intensity in China? |
title_sort | how does renewable energy technology innovation affect manufacturing carbon intensity in china? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990506/ https://www.ncbi.nlm.nih.gov/pubmed/35394630 http://dx.doi.org/10.1007/s11356-022-20012-8 |
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