The Impact of Green Investment on the Upgrading of Industrial Structure in China: Analysis Based on Panel Data Techniques

Heyuan Wang, Ran Jin

2022

Abstract

The report of the 19th National Congress of the CPC have proposed to establish and improve a sound economic system for green, low-carbon and circular development. Developing green economy has become the national strategy, and green investment (GIP) will play an important role in developing the green economy. From a global, long-term and strategic perspective, the green economy and the digital economy are mutually reinforcing. The continuous development of the digital economy in recent years has also led to further optimization and upgrading of the industrial structure (ISU). The important role of GIP for ISU in the context of the mutual integration of greening and digitalization has thus emerged. This paper makes full use of panel data techniques and combines with the computer software STATA to empirically test the influence mechanism of GIP on ISU, using 30 provincial panel data of China from 2003 to 2020.The results reflect that GIP has obvious inhibitory effect on ISU. At the meantime, after the 2008 financial crisis, GIP has a more significant inhibitory effect on the ISU. The GIP mainly restrains ISU in the eastern region. In addition, the GIP significantly inhibits the development of primary and tertiary industries but promotes the development of secondary industry.

Paper Citation

in Harvard Style

Wang H. and Jin R. (2022). The Impact of Green Investment on the Upgrading of Industrial Structure in China: Analysis Based on Panel Data Techniques. In Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME; ISBN 978-989-758-636-1, SciTePress, pages 160-167. DOI: 10.5220/0012027300003620

in Bibtex Style

@conference{icemme22,
author={Heyuan Wang and Ran Jin},
title={The Impact of Green Investment on the Upgrading of Industrial Structure in China: Analysis Based on Panel Data Techniques},
booktitle={Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME},
year={2022},
pages={160-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012027300003620},
isbn={978-989-758-636-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME
TI - The Impact of Green Investment on the Upgrading of Industrial Structure in China: Analysis Based on Panel Data Techniques
SN - 978-989-758-636-1
AU - Wang H.
AU - Jin R.
PY - 2022
SP - 160
EP - 167
DO - 10.5220/0012027300003620
PB - SciTePress