Research on the Change Trend of Economic Development in Shandong Province under the “Dual Carbon” Goal
- DOI
- 10.2991/978-94-6463-344-3_56How to use a DOI?
- Keywords
- economic forecast; gray relational analysis; GDP; multiple regression model
- Abstract
With the proposal of a “dual carbon” goal and the demand for addressing climate change, Shandong Province is facing the challenge of promoting economic transformation and upgrading and promoting the development of the low-carbon economy. An accurate and reasonable economic forecast is helpful to provide some reference for the economic growth and change of Shandong Province. This paper analyzes multiple types of economic factors and uses the Granger causality test and gray relational analysis to screen the key factors affecting the economic level. Then, the regression analysis method is used to predict the economic level of Shandong Province under the baseline scenario and the deep low-carbon scenario, and analyze the economic development trend of Shandong Province, to provide a valuable reference for Shandong Province to achieve low-carbon economic development under the dual-carbon background.
- 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 - Ying Mu AU - Wanlei Xue AU - Xin Zhao AU - Dongliang Zhang PY - 2024 DA - 2024/01/10 TI - Research on the Change Trend of Economic Development in Shandong Province under the “Dual Carbon” Goal BT - Proceedings of the 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023) PB - Atlantis Press SP - 495 EP - 503 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-344-3_56 DO - 10.2991/978-94-6463-344-3_56 ID - Mu2024 ER -