Abstract
Green transformation of energy use in China’s transport sector will promote sustainable development in the country. This paper extends the Bounded-adjusted Measure and Luenberger indicators to detect the performance of China’s inland transport sector across 2006–2015. In the framework, the climate change and traffic accident risks are taken as undesirable outputs. In addition, source-specific and variable-specific decomposition are proposed for investigating the sources of inefficiency and productivity, and quantifying the contributions of climate change and traffic accident risks. This paper opens up the “black box” of technological progress, identifying the different channels (i.e., quantity and time-dimensions) through which affect economic growth. Therefore, policymakers can find out the most effective pathway to boost productivity growth and mitigate climate change and traffic accident risks in the transport sector, which are ignored in the conventional framework. Empirical results indicate great variances exist among 30 provinces in inefficiency scores, productivity change, and technological progress. Hence, classified regulations help to tackle this issue. We clustered 30 provinces into 4 groups according to their technological progress along quantity and time-dimensions. Variable-wise, CO2 emission-reduction and civil vehicle gains promote the TFP gains most. Also, we verify that economic development and environmental regulations can coordinate to promote the sustainable development of the transport sector.
Highlights
Transport sector, plays an important role in promoting sustainable development worldwide (Legacy, 2015; Li et al, 2019; Monios, 2019)
Properly addressing the aforementioned posers requires us to figure out the impacts of traffic congestion, traffic accidents and greenhouse gases (GHG) emissions on transport sector
In order to perform variable-specific and source-specific decomposition analysis of the productivity change of transport sector in China’s regional level, we extend the approach for productivity change decomposition introduced by Chen et al (2020)
Summary
Plays an important role in promoting sustainable development worldwide (Legacy, 2015; Li et al, 2019; Monios, 2019). Many studies have been dedicated to seeking for the driving force of TFP growth in firm-level, city-level, nation-level and international level They all focused on the “all-in-one” composite productivity indicator, this fails to reveal the impact mechanism of productivity on economic growth. The approach can be used to measure the environmental efficiency in transport sector and we can obtain the corresponding TFP changes and technological progress with various approaches (e.g., Luenberger productivity indicator (LPI); Mamlquist index; Hicks-Moorsteen index) (Daraio et al, 2016; Liu et al, 2019). Feng and Wang, (2018) introduced a global meta-frontier DEA for measuring energy efficiency measurement in transport sector, revealed that technological progress is the main factor for productivity gains.
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