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Sustainability drivers in road transportation system: Evidence from China
Zhongfei Chen1, Jorge Antunes2, Peter Wanke2
1School of Economics, Jinan University, No. 601 Huangpu West Road, Guangzhou, Guangdong Province, China.
The Science of the Total Environment
|August 10, 2021
Summary
This study analyzes Chinese road transport sustainability, finding energy and environmental efficiency are impacted by regional development and infrastructure. The research uses a novel Fuzzy Double-Frontier Network Data Envelopment Analysis (FDFNDEA) model.
Area of Science:
- Transportation Science
- Environmental Science
- Econometrics
Background:
- The Chinese road transportation system has undergone significant evolution.
- Understanding sustainability drivers is crucial for its future development.
- Assessing both cargo and environmental productivity is essential.
Purpose of the Study:
- To explore sustainability drivers of China's road transport system.
- To investigate the relationship between outputs (freight, emissions) and power consumption.
- To analyze the impact of contextual variables on energy and environmental efficiency.
Main Methods:
- A novel Fuzzy Double-Frontier Network Data Envelopment Analysis (FDFNDEA) model was developed.
- Shannon's entropy quantified input/output vagueness using triangular fuzzy numbers (TFN).
- Bootstrapped Cauchy regressions analyzed Malmquist Productivity Indexes (MPI) against contextual variables.
Main Results:
- Confirmed disruptive evolution and varied regional expansion strategies in Chinese road transport.
- Identified power consumption as a consequence of evolving road system resources.
- Demonstrated that contextual variables affect energy and environmental efficiency.
Conclusions:
- The Chinese road transport system's sustainability is influenced by diverse factors.
- Regional development, economic activity, and infrastructure play key roles.
- The FDFNDEA model provides a robust framework for analyzing complex transportation systems.
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