Cover Image

Toward carbon neutrality: The impact of manufacturing agglomeration on total factor energy efficiency

Improving energy efficiency is an effective way to achieve carbon neutrality in the context of growing advocacy for a green economy in both academia and government. In this study, we analyzed the impact mechanism of the manufacturing agglomeration on total factor energy efficiency. Based on this wor...

Full description

Saved in:
Bibliographic Details
Main Authors: Jiang, Hong, Chen, Zhenhuan, Zhao, Wencheng, Wang, Fayao, Xia, Jing, Chen, Zhenyu
Format: Article
Published: Frontiers Media SA 2023
Subjects:
GE Environmental Sciences
Q Science (General)
Online Access:http://eprints.um.edu.my/38317/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.38317
record_format eprints
spelling my.um.eprints.383172024-11-08T02:18:48Z http://eprints.um.edu.my/38317/ Toward carbon neutrality: The impact of manufacturing agglomeration on total factor energy efficiency Jiang, Hong Chen, Zhenhuan Zhao, Wencheng Wang, Fayao Xia, Jing Chen, Zhenyu GE Environmental Sciences Q Science (General) Improving energy efficiency is an effective way to achieve carbon neutrality in the context of growing advocacy for a green economy in both academia and government. In this study, we analyzed the impact mechanism of the manufacturing agglomeration on total factor energy efficiency. Based on this work, we identified 30 provinces (autonomous regions and municipalities) in China using 2002 to 2017 panel data. We used the data envelopment analysis game cross-efficiency model to calculate the interprovincial current state of energy efficiency. We constructed a spatial Durbin model and used an adjacent space weight matrix, geographic distance weight matrix, and economic distance weight matrix to study the impact of manufacturing agglomeration on total factor energy efficiency. The results showed that under different spatial weights, the interprovincial total factor energy efficiency had a significant spatial dependence; under the three spatial weights, we identified a U-shaped relationship between manufacturing agglomeration and total factor energy efficiency. Industrial agglomeration had obvious spatial spillover effects on total factor energy efficiency, and the spillover effects under the weight of geographic distance were higher than other spatial weights. During the sample period, the direct, indirect, and total effects of the manufacturing industry had an impact on energy efficiency. It all had a negative number indicating that there was a crowding effect in manufacturing agglomeration, and it had an inhibitory effect on energy efficiency. Frontiers Media SA 2023-04 Article PeerReviewed Jiang, Hong and Chen, Zhenhuan and Zhao, Wencheng and Wang, Fayao and Xia, Jing and Chen, Zhenyu (2023) Toward carbon neutrality: The impact of manufacturing agglomeration on total factor energy efficiency. Frontiers In Environmental Science, 11. ISSN 2296-665X, DOI https://doi.org/10.3389/fenvs.2023.1132294 <https://doi.org/10.3389/fenvs.2023.1132294>. 10.3389/fenvs.2023.1132294
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic GE Environmental Sciences
Q Science (General)
spellingShingle GE Environmental Sciences
Q Science (General)
Jiang, Hong
Chen, Zhenhuan
Zhao, Wencheng
Wang, Fayao
Xia, Jing
Chen, Zhenyu
Toward carbon neutrality: The impact of manufacturing agglomeration on total factor energy efficiency
description Improving energy efficiency is an effective way to achieve carbon neutrality in the context of growing advocacy for a green economy in both academia and government. In this study, we analyzed the impact mechanism of the manufacturing agglomeration on total factor energy efficiency. Based on this work, we identified 30 provinces (autonomous regions and municipalities) in China using 2002 to 2017 panel data. We used the data envelopment analysis game cross-efficiency model to calculate the interprovincial current state of energy efficiency. We constructed a spatial Durbin model and used an adjacent space weight matrix, geographic distance weight matrix, and economic distance weight matrix to study the impact of manufacturing agglomeration on total factor energy efficiency. The results showed that under different spatial weights, the interprovincial total factor energy efficiency had a significant spatial dependence; under the three spatial weights, we identified a U-shaped relationship between manufacturing agglomeration and total factor energy efficiency. Industrial agglomeration had obvious spatial spillover effects on total factor energy efficiency, and the spillover effects under the weight of geographic distance were higher than other spatial weights. During the sample period, the direct, indirect, and total effects of the manufacturing industry had an impact on energy efficiency. It all had a negative number indicating that there was a crowding effect in manufacturing agglomeration, and it had an inhibitory effect on energy efficiency.
format Article
author Jiang, Hong
Chen, Zhenhuan
Zhao, Wencheng
Wang, Fayao
Xia, Jing
Chen, Zhenyu
author_facet Jiang, Hong
Chen, Zhenhuan
Zhao, Wencheng
Wang, Fayao
Xia, Jing
Chen, Zhenyu
author_sort Jiang, Hong
title Toward carbon neutrality: The impact of manufacturing agglomeration on total factor energy efficiency
title_short Toward carbon neutrality: The impact of manufacturing agglomeration on total factor energy efficiency
title_full Toward carbon neutrality: The impact of manufacturing agglomeration on total factor energy efficiency
title_fullStr Toward carbon neutrality: The impact of manufacturing agglomeration on total factor energy efficiency
title_full_unstemmed Toward carbon neutrality: The impact of manufacturing agglomeration on total factor energy efficiency
title_sort toward carbon neutrality: the impact of manufacturing agglomeration on total factor energy efficiency
publisher Frontiers Media SA
publishDate 2023
url http://eprints.um.edu.my/38317/
_version_ 1816130392344756224
score 13.223943

Similar Items