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An empirical analysis of total-factor productivity in 30 sub-sub-sectors of China's nonferrous metal industry

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  • Shao, Liuguo
  • He, Yingying
  • Feng, Chao
  • Zhang, Shijing

Abstract

Based on the panel data of 30 sub-sub-sectors of China's nonferrous metal industry from 2004 to 2013, this paper utilizes a global data envelopment analysis (DEA) to analyze the total-factor productivity (TFP) of China's nonferrous metal industry from both static and dynamic perspectives. We present the fluctuation of TFP in the nonferrous metal industry during 2004–2013 and analyze the key factors responsible for this fluctuation from the perspectives of production techniques, management and scale. The static analysis results show that the overall TFP of China's nonferrous metal industry is relatively low, and production inefficiency in the mining and smelting industries are two primary sources of this overall TFP inefficiency. There are significant differences among the 30 sub-sub-sectors in TFPs. During our sample period, some sub-sub-sectors experienced rapid growth in TFP, while others remained at a low level. The dynamic analysis results show differences in the key factors affecting the TFPs of three sub-sectors. Technical progress was the biggest contributor to the TFP growth in the nonferrous metal smelting sector, while the rapid increase in scale efficiency was the primary source of TFP growth in both the nonferrous metal mining sector and the pressing and processing sector.

Suggested Citation

  • Shao, Liuguo & He, Yingying & Feng, Chao & Zhang, Shijing, 2016. "An empirical analysis of total-factor productivity in 30 sub-sub-sectors of China's nonferrous metal industry," Resources Policy, Elsevier, vol. 50(C), pages 264-269.
  • Handle: RePEc:eee:jrpoli:v:50:y:2016:i:c:p:264-269
    DOI: 10.1016/j.resourpol.2016.10.010
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    References listed on IDEAS

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    Cited by:

    1. Ha Sung Park & Tae Youn Kim & Daecheol Kim, 2019. "Efficiency Analysis of Zinc Refining Companies," Sustainability, MDPI, Open Access Journal, vol. 11(22), pages 1-13, November.
    2. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "Analysis of green total-factor productivity in China's regional metal industry: A meta-frontier approach," Resources Policy, Elsevier, vol. 58(C), pages 219-229.
    3. Eita, Joel Hinaunye & Pedro, Marcio Jose, 2020. "Modelling total factor productivity in a developing economy: evidence from Angola," MPRA Paper 101304, University Library of Munich, Germany, revised 30 Apr 2020.
    4. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2019. "The sustainability of China’s metal industries: features, challenges and future focuses," Resources Policy, Elsevier, vol. 60(C), pages 215-224.
    5. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "The driving forces and potential mitigation of energy-related CO2 emissions in China's metal industry," Resources Policy, Elsevier, vol. 59(C), pages 487-494.
    6. Atris, Amani Mohammed & Goto, Mika, 2019. "Vertical structure and efficiency assessment of the US oil and gas companies," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    7. Ha Sung Park & Daecheol Kim, 2019. "Efficiency Analysis of East Asian Zinc Smelters and the Effects of Capacity and Bonus Zinc on Efficiency," Journal of Open Innovation: Technology, Market, and Complexity, MDPI, Open Access Journal, vol. 5(1), pages 1-14, January.

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