Industrial Structure Upgrading and Regional Water Use Intensity Research on the Driving Effect of Time Dimension Difference

Jiahao Li, Tao Sun, Shengzhe Zhang

2022

Abstract

Decomposing the influence of regional water use intensity into industrialization effect, industrial structure upgrading effect, tertiary industry water-saving technology effect, and domestic water extraction effect from the time dimension and constructing the LMDI decomposition expansion model of regional water use intensity time difference. Taking the Yangtze River Economic Belt as an example, the driving channels and internal influence mechanism of industrial structure upgrading on the time dimension difference of water use intensity are deeply explored in this article. The study shows that the upgrading of industrial structure is an important factor that inhibits the water use intensity of the Yangtze River Economic Belt from 2000 to 2020, but its driving effect has changed from negative to positive from 2012 to 2019 to promote the growth of water use intensity. It is suggested that the urban agglomerations along the economic belt should strengthen policy support and scientific management, achieve scientific and technological innovation, and vigorously develop the high-quality water-saving tertiary industry to exert the inhibitory effect of the upgrading of industrial structure on water use intensity.

Paper Citation

in Harvard Style

Li J., Sun T. and Zhang S. (2022). Industrial Structure Upgrading and Regional Water Use Intensity Research on the Driving Effect of Time Dimension Difference. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 211-217. DOI: 10.5220/0011171300003440

in Bibtex Style

@conference{bdedm22,
author={Jiahao Li and Tao Sun and Shengzhe Zhang},
title={Industrial Structure Upgrading and Regional Water Use Intensity Research on the Driving Effect of Time Dimension Difference},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={211-217},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011171300003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Industrial Structure Upgrading and Regional Water Use Intensity Research on the Driving Effect of Time Dimension Difference
SN - 978-989-758-593-7
AU - Li J.
AU - Sun T.
AU - Zhang S.
PY - 2022
SP - 211
EP - 217
DO - 10.5220/0011171300003440