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01.06.2015 | Original Article

Understanding industrial energy productivity growth in China: a production-theoretical approach

verfasst von: Kerui Du, Lu Huang, Zhiming Yang

Erschienen in: Energy Efficiency | Ausgabe 3/2015

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Abstract

The purpose of this paper is to investigate the driving force behind industrial energy productivity growth in China from 2005 to 2010. The model of Wang (Energy, 32(8), 1326–1333, 2007) is extended to accommodate different technologies by relaxing the constant return to scale (CRS) assumption. In the empirical study, we find that (1) technological changes and capital-energy substitution are the main contributors to the increase in industrial energy productivity; (2) impacts of changes in technical efficiency, energy composition, and output structure are relatively trivial; (3) the effect of labor-energy substitution is unfavorable to industrial energy productivity growth.

Vorheriger Artikel Economic and operational factors in energy and climate indicators for the steel industry

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The numerical values are calculated by the author according to the data from China Statistical Yearbook.

According to China Statistical Yearbook, China’s industrial energy productivity declined from 5.5 thousand RMB/TCE in 2000 to 4.9 thousand RMB/TCE in 2005 (2005 price).

For example, Liu et al. (2011) found that 17 selected sectors in manufacturing industry in China did not show CRS technology. Wang (2007) also pointed out that the hypothesis of CRS technology was rejected in many empirical works.

We thank an anonymous reviewer for pointing out this.

Ang (2004) provided a useful summary and comparison of the various methods.

We thank an anonymous reviewer for pointing out this.

Zhou and Ang (2008a) also provided a brief comparison between SDA, IDA and PDA.

We follow Wang (2007) to decompose energy productivity change based on the distance function. We also notice that a recent study, Wang et al. (2013) conducted the decomposition of total energy productivity in the context of directional distance function (DDF). It is a nice idea since DDF can take into account undesirable outputs. However, the energy productivity defined in our paper belongs to PFEE indicators, different from that in Wang et al. (2013). The decomposition based on the DDF is not applicable in our case.

Under CRS technology, the output distance function is homogeneous degree of −1 in inputs.

One can choose a specific type of technology based on the judgment of the real technologies to apply the model.

Due to the unavailability of the data, Tibet is not considered in this study.

The heavy and light industries are classified according to the criteria of Chinese National Bureau of Statistics which can be found in Appendix 3.

The gross output measure has the double counting problem. Hence, the gross output data should not be directly used.

They are provided by China Industrial Economy Statistical Yearbook. Enterprises above designated size are defined by enterprises of which total annual turnover exceed 5 million RMB.

Due to data limitation, we only have observations in 2005 and 2010. Thus, in our empirical studies, we actually use observations in 2005 to construct the frontier for 2005 and use observations both in 2005 and 2010 to construct the frontier for 2010. But, this is essentially in line with the sequential DEA method.

In practice, the LPs for cross-period distance function (specially when the technology in previous year is used to estimate the distance function in a later year) may become infeasible which would challenge the empirical analysis. We thank an anonymous reviewer for pointing out this issue. We discuss this in Appendix 4. But note that our empirical study does not encounter infeasibility.

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Titel: Understanding industrial energy productivity growth in China: a production-theoretical approach
verfasst von: Kerui Du
Lu Huang
Zhiming Yang
Publikationsdatum: 01.06.2015
Verlag: Springer Netherlands
Erschienen in: Energy Efficiency / Ausgabe 3/2015
Print ISSN: 1570-646X
Elektronische ISSN: 1570-6478
DOI: https://doi.org/10.1007/s12053-014-9304-4

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