IDEAS home Printed from https://ideas.repec.org/a/fec/journl/v11y2016i1p123-141.html
   My bibliography  Save this article

An Analysis of Energy and Environment Efficiency of China's Iron and Steel Industry

Author

Listed:
  • Ming Lei

    (Guanghua School of Management, Peking University, Beijing 100871, China)

  • Zihan Yin

    (Guanghua School of Management, Peking University, Beijing 100871, China)

Abstract

Due to heavy energy consumption and low technical efficiency, China's iron and steel industry is trapped in the dilemma "large but not strong". This situation not only exerts enormous pressure on energy security but also on increased carbon emission and environmental pollution. The contribution of this study is to calculate the energy and environment efficiency of China's iron and steel industry and to analyze the factors affecting this efficiency. An index of energy and environment efficiency is introduced based on Directional Slacks-based Distance Measure Model. This index is adopted to measure the energy and environment efficiency of China's iron and steel industry using 2,382 firm observations during 2001 to 2005. In addition, Hierarchy Linear Model (HLM) is applied to analyze the factors which can influence the efficiency with both firm-level and province-level data. The conclusions are as follows: The energy and environment efficiency of China's iron and steel industry did not have a significant change during the research period. A firm's age, size, ownership, product category and the economy of its province have significant influence on its energy and environment efficiency.

Suggested Citation

  • Ming Lei & Zihan Yin, 2016. "An Analysis of Energy and Environment Efficiency of China's Iron and Steel Industry," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 11(1), pages 123-141, March.
  • Handle: RePEc:fec:journl:v:11:y:2016:i:1:p:123-141
    as

    Download full text from publisher

    File URL: http://journal.hep.com.cn/fec/EN/10.3868/s060-005-016-0008-4
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).

    More about this item

    Keywords

    iron and steel industry; energy and environment efficiency; Directional Slacks-Based Distance Measure Model; Hierarchy Linear Model;
    All these keywords.

    JEL classification:

    • D2 - Microeconomics - - Production and Organizations
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fec:journl:v:11:y:2016:i:1:p:123-141. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Frank H. Liu (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.