ORIGINAL RESEARCH
Energy Efficiency Measurement and Decomposition
in China’s Land Transportation with Excluding
Non-Management Factors
1 1 | School of economics and management, Zhejiang Sci-Tech University, Hangzhou Zhejiang, China |
CORRESPONDING AUTHOR
Shixiong Wang
School of economics and management, Zhejiang Sci-Tech University, 310016, Hangzhou, China
School of economics and management, Zhejiang Sci-Tech University, 310016, Hangzhou, China
Submission date: 2020-06-23
Final revision date: 2020-10-05
Acceptance date: 2020-10-21
Online publication date: 2021-01-28
KEYWORDS
energy efficiency measurementefficiency decompositionnon-management factorsparallel SBM modelthree-stage DEA model
TOPICS
Environmental managementPolicies for socially sustainable developmentPolicies for environmentally sustainable development
ABSTRACT
With the rapid development of industrialization in China, the demand for transportation service has
increased substantially, causing huge energy consumption in transport sector. The land transportation
(including railway transportation and highway transportation) is the most important source of energy
consumption in China. In this study, the parallel Slack-Based Measure (SBM) model and three-stage
of Data Envelopment Analysis (DEA) approach are combined to measure the energy efficiency of land
transportation system and two subsystems from 2013 to 2017 with excluding the non-management
factors. The empirical results lead to four conclusions: (a) non-management factors do exert unfavorable
influence on the energy efficiency measurement, ignoring which will overestimate the efficiency value.
(b) There exist significant area disparities in energy efficiencies of the land transportation and its two
subsystems. (c) The energy efficiencies of the whole land transportation and the highway transportation
present a significant upward trend, while the changing trend is not promising for the railway
transportation. (d) The railway transportation has a greater impact on the efficiency of the whole system
in 2013 and 2014, which has weakened in the next three years.