Keywords
Socio-economic development
Structural equation modeling
Data analysis
Submitted : 2024-08-03
Accepted : 2024-08-18
Published : 2024-09-02
Abstract
This paper aims to explore the interactive impact between transportation systems and socio-economic development, employing Structural Equation Modeling (SEM) to analyze data from 31 provincial-level administrative regions in China from 2013 to 2022. It comprehensively considers key indicators from the economic, social, and transportation sectors. The paper constructs a model encompassing 5 latent variables and 15 observed variables. Through in-depth analysis, it reveals the promoting role of transportation systems on economic growth and social development, as well as the demand for transportation system construction and optimization driven by socio-economic development levels. The results indicate that an efficient transportation system can not only directly drive economic growth but also indirectly promote social development by improving social welfare and enhancing quality of life. This paper provides new insights into understanding the complex relationship between transportation systems and socio-economic development and holds significant implications for policymakers in optimizing transportation infrastructure to foster economic and social development.
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