The impact of smart transportation on regional green economic growth
Z.M. Liu, J. Lyu, D.W. Liu
Pages: 31-44
Abstract:
To reveal the quantitative
relationship between parameters of smart transportation technology and
indicators of regional green economic growth, a study on the impact of smart
transportation on regional green economic growth was conducted. First, this
research focuses on the influence mechanisms of smart transportation on
regional green economic growth. Based on the principles of scientific rigor,
typicality, and comprehensiveness, a multidimensional indicator system was
constructed, covering six core dimensions, including labor quality and
transportation network density. Second, data cleaning was performed using a
hybrid DBSCAN-LSTM algorithm, and the level of green economic growth was
quantified using a super-efficiency SBM model. Finally, a dynamic panel
regression model was constructed, incorporating the two-step system GMM
method to control for endogeneity issues. An econometric model system
including regional and time fixed effects was established to reveal the
transmission mechanisms through which smart transportation influences green
development via pathways such as transportation efficiency and energy
intensity. Experimental results show that the implementation of smart
transportation system has stabilized the proportion of logistics costs to GDP
between 41% and 44%, while the coupling coordination degree between smart
transportation and green economy reached 0.58, significantly enhancing the
operational efficiency of the regional economy and the level of synergistic
green development.
Keywords: smart transportation;
regional green economy; economic growth; DBSCAN algorithm; LSTM
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