Influence of Governance and Technology on the Environment and Economy Under Dual-Carbon Target
- DOI
- 10.2991/978-94-6463-224-8_19How to use a DOI?
- Keywords
- Dual-carbon target; Dynamic stochastic general equilibrium model; Government governance; Technology innovation
- Abstract
As carbon emission increases significantly with the development of the economy, a series of environmental problems have occurred so far. The investigation of the dual-carbon target has become a frontier science to alleviate the contradiction between the environment and the economy. To investigate the effect of governance and technology on the environment and economy, dynamic stochastic general equilibrium (DSGE) model which is calibrated for the Chinese economy is proposed under the dual-carbon target. It can be observed from the results that technological innovation shows incentive to economic development. However, it shows differences in environmental improvement in the short and long terms, respectively. In addition, governance shows a negative influence on the economy. In order to be effective in emission reduction, governance needs to be combined with a carbon trading mechanism.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ran Zhao AU - Pinglin He AU - Linlin Sun PY - 2023 DA - 2023/08/23 TI - Influence of Governance and Technology on the Environment and Economy Under Dual-Carbon Target BT - Proceedings of the 2023 3rd International Conference on Enterprise Management and Economic Development (ICEMED 2023) PB - Atlantis Press SP - 125 EP - 136 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-224-8_19 DO - 10.2991/978-94-6463-224-8_19 ID - Zhao2023 ER -