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Journal ArticleDOI

Accessing provincial energy efficiencies in China’s transport sector

TL;DR: In this article, a stochastic frontier analysis (SFA) approach was used to calculate the provincial energy efficiency as well as energy saving potential in China's provincial transport sector over 2007-2016.
About: This article is published in Energy Policy.The article was published on 2018-12-01 and is currently open access. It has received 52 citations till now. The article focuses on the topics: Efficient energy use.

Summary (1 min read)

1. Introduction

  • Transport sector is crucial to economic and social development, as mobility is generally known as one of the basic and vital needs for human.
  • Based on the statistics from Asia Pacific Energy Research Centre , energy consumption in China’s transport industry raised from 15.0 Mtoe in 1980 to 166.5 Mtoe in 2010 (i.e., with a growth rate of 8.4% per annual), which made transport one of the fastest growing sectors in terms of energy consumptions.
  • From this prospective, DEA is a nonparametric approach with following advantages: (i) it does not require an assumed form of production function or distance function, which can avoid the risk of model misspecification; (ii) the flexible setting of DEA model (with many types) can be applied to the estimation of most efficiency evaluation models.
  • Find out the amount of capital investment of each year at its current price; c.).

4. Model results and discussions

  • 1 SFA model results Table 1 shows the SFA model results.
  • From the results it can be observed that all coefficients of the three explanatory variables are significant.
  • The above results suggest that: the energy efficiency in China’s transport industry can be improved by increasing local financial investment, improving road conditions and developing public transport.
  • Though energy efficiency in the central area was higher than that in the western area, the absolute amount of energy saving potential in the central China during 2007-2016 was no less than that in the western China due to the difference in energy inputs in these two areas.

5. Conclusion and suggestion

  • Transport energy efficiency has been at the fore front in the expanded notion of energy efficiency, partly because, historically, different modes with very different characteristics have competed to provide passenger and freight services (Moriarty and Honnery, 2012).
  • Such comparisons became increasingly common after the 1970s oil crises.
  • In fact, many studies focusing on China’s regional energy performance have suggested that the eastern region performs best in energy efficiency (Zhang et al., 2015), environmental efficiency (Chen and Jia, 2017) and many other efficiency indicators (Fan et al., 2017).
  • That is to say, the energy efficiency in China’s provincial transport industry is able to be improved by increasing local financial investment, improving road conditions and developing public transport.
  • (ii) Encourage the proportion of public transportation to relieve traffic congestion, which is severe especially in the eastern China.

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Citations
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01 Jan 2011
TL;DR: In this paper, a US frontier residential aggregate energy demand function using panel data for 48 US states over the period 1995 to 2007 using stochastic frontier analysis (SFA) is estimated.
Abstract: This paper estimates a US frontier residential aggregate energy demand function using panel data for 48 ‘states’ over the period 1995 to 2007 using stochastic frontier analysis (SFA). Utilizing an econometric energy demand model, the (in)efficiency of each state is modeled and it is argued that this represents a measure of the inefficient use of residential energy in each state (i.e. ‘waste energy’). This underlying efficiency for the US is therefore observed for each state as well as the relative efficiency across the states. Moreover, the analysis suggests that energy intensity is not necessarily a good indicator of energy efficiency, whereas by controlling for a range of economic and other factors, the measure of energy efficiency obtained via this approach is. This is a novel approach to model residential energy demand and efficiency and it is arguably particularly relevant given current US energy policy discussions related to energy efficiency.

166 citations

Journal ArticleDOI
TL;DR: The system GMM regression results reveal a significant positive impact of technological innovation on TFEE at the national level, but technological innovation in the central region has inhibited the improvement of the TFEE.

118 citations

Journal ArticleDOI
TL;DR: In this article, the authors evaluated the coupling coordination degree of natural resources, financial development and ecological efficiency in China from a regional perspective, taking a natural and socio-economic dynamics into account.

106 citations

Journal ArticleDOI
01 Jan 2022-Energy
TL;DR: In this paper, the epsilon-based measure data envelopment analysis model with undesirable outputs is applied to estimate TSCDEE for 30 provinces in China from 2010 to 2016.

93 citations

Journal ArticleDOI
01 Jan 2022-Energy
TL;DR: In this paper , the epsilon-based measure data envelopment analysis model with undesirable outputs is applied to estimate TSCDEE for 30 provinces in China from 2010 to 2016.

86 citations

References
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Book
30 Nov 1997
TL;DR: This book is the first systematic survey of performance measurement with the express purpose of introducing the field to a wide audience of students, researchers, and practitioners.
Abstract: The second edition of An Introduction to Efficiency and Productivity Analysis is designed to be a general introduction for those who wish to study efficiency and productivity analysis. The book provides an accessible, well-written introduction to the four principal methods involved: econometric estimation of average response models; index numbers, data envelopment analysis (DEA); and stochastic frontier analysis (SFA). For each method, a detailed introduction to the basic concepts is presented, numerical examples are provided, and some of the more important extensions to the basic methods are discussed. Of special interest is the systematic use of detailed empirical applications using real-world data throughout the book. In recent years, there have been a number of excellent advance-level books published on performance measurement. This book, however, is the first systematic survey of performance measurement with the express purpose of introducing the field to a wide audience of students, researchers, and practitioners. Indeed, the 2nd Edition maintains its uniqueness: (1) It is a well-written introduction to the field. (2) It outlines, discusses and compares the four principal methods for efficiency and productivity analysis in a well-motivated presentation. (3) It provides detailed advice on computer programs that can be used to implement these performance measurement methods. The book contains computer instructions and output listings for the SHAZAM, LIMDEP, TFPIP, DEAP and FRONTIER computer programs. More extensive listings of data and computer instruction files are available on the book's website: (www.uq.edu.au/economics/cepa/crob2005).

7,616 citations

Journal ArticleDOI
TL;DR: In this article, the authors analyzed energy efficiency of 29 administrative regions in China for the period 1995-2002 with a newly introduced index, the index of total-factor energy efficiency (TFEE), which divides the target energy input by the actual energy input.

1,151 citations

Journal ArticleDOI
TL;DR: In this article, the authors review the range of energy efficiency indicators that can be used, particularly at the policy level, and discuss the specific limitations and appropriate uses of physical thermodynamic, economic-thermodynamic and pure economic indicators.

1,002 citations


"Accessing provincial energy efficie..." refers background in this paper

  • ...(Patterson, 1996) elaborated different kinds of definitions and indicators on energy efficiency....

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Journal ArticleDOI
TL;DR: Li et al. as discussed by the authors proposed a non-radial DEA model with the slacks-based measure (SBM) to analyze the environmental efficiency of China's transportation sector, which showed that most of the provinces in China do not have an eco-efficient transportation industry.

370 citations

Frequently Asked Questions (1)
Q1. What are the contributions in this paper?

By using stochastic frontier analysis ( SFA ) approach, this paper calculates the provincial energy efficiency as well as energy saving potential in China ’ s provincial transport sector over 2007-2016. Additionally, energy saving potential in the transport sector is also estimated in this paper. Results suggest that China ’ s national average energy input efficiency in the transport industry is 0. 673 during the sample period, which implied that relatively large degree of non-efficiency exists in this sector. It is shown that, although energy efficiency in the eastern China is the highest ( much higher than the country-wide level ), the estimated absolute amount of the energy saving potential in the eastern area is significantly larger than those in the central area and western area due to the fact that the eastern area contributes to the largest share of the total energy consumption in this sector.