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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

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Transportation infrastructure upgrading and green development efficiency: Empirical analysis with double machine

Shuai Ling¹, Shurui Jin¹, Haijie Wang²

¹College of Management and Economics, Tianjin University, Tianjin, 300072, China.

Journal of Environmental Management

|April 24, 2024

Summary

Upgrading transportation infrastructure, including high-speed rail, boosts urban green development efficiency by 4% in China. This improvement is driven by service industry growth and green innovation, with regional policies having a significant impact.

Keywords:

Double machine learning Green development Regional effect Synthetic difference in difference Transportation infrastructure upgrading

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Area of Science:

Environmental Science
Urban Planning
Transportation Engineering

Background:

Growing environmental concerns like pollution and climate change necessitate sustainable transportation solutions.
China's focus on green and low-carbon transformation in transportation highlights the need to assess infrastructure impacts.
Traditional causal models face limitations in analyzing complex transportation infrastructure effects.

Purpose of the Study:

To investigate the impact of transportation infrastructure upgrading on urban green development efficiency in China.
To identify the mediating roles of service industry agglomeration and green innovation.
To evaluate the regional effects of transportation policies, specifically high-speed rail.

Main Methods:

Double machine learning model applied to panel data from 283 Chinese cities (2003-2019).
Synthetic difference-in-differences model used for regional high-speed rail impact assessment.
Goodman-Bacon decomposition and robustness tests for validation.

Main Results:

Transportation infrastructure upgrading enhances urban green development efficiency by 4%.
Service industry agglomeration and green innovation act as key mediating channels.
Regional impacts of transportation policies, such as high-speed rail, are substantial and often exceed individual city effects.

Conclusions:

Transportation infrastructure upgrades are crucial for improving urban green development efficiency.
Policy interventions should consider regional dynamics and mediating factors like industry and innovation.
Findings offer insights for sustainable transportation planning and policy at both city and regional levels.