
Application of CGE Model in Engineering Construction
- 1 Southwest University of Science and Technology
- 2 Southwest University of Science and Technology
* Author to whom correspondence should be addressed.
Abstract
The Computable General Equilibrium (CGE) model is a significant tool in economic analysis that has become popular to be used for policy evaluation, forecasting, and studies of structural components. This lumps the economy into production, consumption, government, and global trade sectors that answer to particular production technologies, consumption behaviors, and market behaviors specific to a range of economic actors. The CGE model can owl these with by solving equations like production and consumption functions, capturing the interactions between sectors, bitter the equilibrium price and quantity calculations in section engineering construction., which allow us to assess efficiently sectoral impacts, resource distribution and effects of policy measures further examined in this paper. in the building industry, and in the economy of our society as a whole.
Keywords
CGE model, engineering construction, economic development
[1]. Wang, X., & Chen, Y. (2020). Empirical analysis of the interaction between transportation infrastructure and tourism economic growth in Northwest China based on the Purval model. Journal of Lanzhou University (Natural Sciences Edition), 56(04), 31-38. https://doi.org/10.13885/j.issn.1000-2804.2020.04.004
[2]. Roger, Huang, Y., Li, Q. Q., et al. (2022). Research on the industrial economic correlation of rail transit based on the VAR model. Comprehensive Transportation, 44(08), 71-79.
[3]. Dong, X., & Liu, Y. (2018). Can the construction of transportation infrastructure promote the development of county economy? — Analysis based on national highway construction and county-level economic panel data from 2004 to 2013. Nankai Economic Research, (04), 3-20. https://doi.org/10.14116/j.kes.2018.04.001
[4]. Tang, Z. (2019). Research on the spatial effects of transportation network and urbanization on economic growth in Southwest counties (Master's thesis). DOI: 10.27665/d.cnki.gzcju.2019.000056.
[5]. Zhou, M. (2023). Research on the spatial heterogeneity of transportation network driving economy (Master's thesis). Shandong University of Technology. DOI: 10.27276/d.cnki.GSDGC.2023.000311.
[6]. Shen, Q. (2022). The significance of transportation economic management and its future development direction. China Collective Economy, (20), 48-50.
[7]. Ren, Q. (2022). Research on the coordinated development of transportation and economic growth in the Yangtze River Delta region (Master's thesis). Chang'an University.
[8]. Gao, J. (2022). On the current situation and future development direction of China's transportation economy. Economist, (02), 290-291, 295.
[9]. Xie, C. (2022). Analysis of the current situation and development strategy of transportation economy. World Transportation Manager, (01), 50-52.
[10]. Gao, X., Long, X., & Yang, G. (2015). Transportation infrastructure and the development of the service industry: Evidence from county-level highways and enterprise data from the second economic census. Management World, (8), 81-96.
[11]. Liu, C., & Zhou, L. (2014). Expressway construction and regional economic development: Evidence from China's county governments. Economic Science, (2), 55-67.
[12]. Liu, S., & Angang Iron & Steel Co., LTD. (2010). The externalities of China's infrastructure: 1988-2007. Journal of Economic Research, (3), 72-82.
[13]. Wang, Y., Sheng, D., Shi, B., & Li, K. (2010). How can infrastructure improve the technical complexity of exports? Economic Research Journal, (7), 103-115.
Cite this article
Gao,R.;Zhang,X. (2024). Application of CGE Model in Engineering Construction. Journal of Fintech and Business Analysis,1,64-71.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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