Medium and Long-Term Forecast of Shandong Economy under the Background of Conversion of New and Old Sources of Growth
- DOI
- 10.2991/978-94-6463-098-5_138How to use a DOI?
- Keywords
- Economic forecast; old and new drivers; Shandong
- Abstract
Since the 18th National Congress, Shandong’s economy has undergone profound changes. The GDP growth rate has fallen below the China’s national average for the first time in many years. The output value of the tertiary industry exceeds that of the secondary industry, but it is more dependent on the development of manufacturing than the whole of China. The role of consumption as an economic stabilizer is prominent, and the net outflow of population and insufficient labor reserves make the significance of technological innovation even more important. Forecasts by two methods of production function model and labor productivity trend show that accelerating the conversion of new and old kinetic energy is both an important opportunity and a challenge for Shandong’s economic growth.
- 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 - Xiang Wang AU - Lili Zhang AU - Xingpei Ji AU - Wanlei Xue AU - Yan Li PY - 2022 DA - 2022/12/27 TI - Medium and Long-Term Forecast of Shandong Economy under the Background of Conversion of New and Old Sources of Growth BT - Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022) PB - Atlantis Press SP - 1226 EP - 1233 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-098-5_138 DO - 10.2991/978-94-6463-098-5_138 ID - Wang2022 ER -