IDEAS home Printed from https://ideas.repec.org/a/vrs/stintr/v20y2019i2p107-121n6.html
   My bibliography  Save this article

Estimation Of Energy Intensity In Indian Iron And Steel Sector: A Panel Data Analysis

Author

Listed:
  • Sharma Anukriti

    (Department of Economics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India .)

  • Roy Hiranmoy

    (Department of Economics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India .)

  • Dalei Narendra Nath

    (Department of Economics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India .)

Abstract

India is the world’s third largest consumer of primary energy, which includes fossil fuels like coal, oil, etc. The total primary energy consumption in India in 2015 was 107 Mtoe. India’s total final energy consumption was estimated at 527 Mtoe of which the industrial sectors consumed about 30% (185 Mtoe) in 2013. The Iron and Steel sector is one of the most energy-intensive industries, consuming about 25% of the total industrial energy consumption. The energy consumption in Indian Iron and Steel sector is on the declining trend. It declined from 10 GCal/tcs in 1990 to 6.9 GCal/tcs in 2010–11. On average, iron & steel plants spend about 20-40% of the total manufacturing cost to meet their energy demands. In fact, energy cost is considered as a major factor in pricing of the steel. Energy Conservation Act, 2001 (ECA), and the formulation of Bureau of Energy Efficiency are important initiatives taken up by government in order to reduce energy consumption by various sectors in the Indian economy. Another important initiative is launching of first of its kind market-based mechanism, Perform, Achieve and Trade (PAT) mechanism in 2010 particularly targeting the energy consumption by the industrial sector of the economy. Phase-I for PAT ran from 2012–015 including eight most energy-intensive sectors under Indian Industrial sector, with Iron and Steel sector being a prominent sector. The objective of this paper is to empirically estimate the energy intensity of Indian Iron and Steel sector, also accounting for the impact of ECA and PAT Phase-I in dummy variable form. The results indicate that the decline in energy consumption in this sector until 2011 can also be attributed to Energy Conservation Act implemented in the year 2001 along with other factors. This is empirically confirmed by our results that ECA has a significant impact on reduction of energy intensity of the steel firms. PAT does not seem to have a considerable impact on energy intensity alone but in the years where both PAT and ECA are prevalent, i.e. from 2012 to 2015, there seems to be a significant impact of around 0.050 reduction in energy intensity, as accounted by different models in this paper. There is one more observation from the empirical results that profit margin intensity was found to be negatively related to energy intensity implying more profitable firms invest more in energy efficiency.

Suggested Citation

  • Sharma Anukriti & Roy Hiranmoy & Dalei Narendra Nath, 2019. "Estimation Of Energy Intensity In Indian Iron And Steel Sector: A Panel Data Analysis," Statistics in Transition New Series, Statistics Poland, vol. 20(2), pages 107-121, June.
  • Handle: RePEc:vrs:stintr:v:20:y:2019:i:2:p:107-121:n:6
    DOI: 10.21307/stattrans-2019-017
    as

    Download full text from publisher

    File URL: https://doi.org/10.21307/stattrans-2019-017
    Download Restriction: no

    File URL: https://libkey.io/10.21307/stattrans-2019-017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Mukherjee, Kankana, 2008. "Energy use efficiency in the Indian manufacturing sector: An interstate analysis," Energy Policy, Elsevier, vol. 36(2), pages 662-672, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tripathy, Prajukta & Jena, Pabitra Kumar & Mishra, Bikash Ranjan, 2024. "Systematic literature review and bibliometric analysis of energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    2. Pardo Martínez, Clara Inés & Silveira, Semida, 2012. "Analysis of energy use and CO2 emission in service industries: Evidence from Sweden," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 5285-5294.
    3. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    4. Wang, Xiaolei & Lin, Boqiang, 2016. "How to reduce CO2 emissions in China׳s iron and steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1496-1505.
    5. Yih-Liang Chan, David & Yang, Kuang-Han & Lee, Jenq-Daw & Hong, Gui-Bing, 2010. "The case study of furnace use and energy conservation in iron and steel industry," Energy, Elsevier, vol. 35(4), pages 1665-1670.
    6. Ghodeswar, Archana & Oliver, Matthew E., 2022. "Trading one waste for another? Unintended consequences of fly ash reuse in the Indian electric power sector," Energy Policy, Elsevier, vol. 165(C).
    7. Bishwanath Goldar, 2010. "Energy Intensity of Indian Manufacturing Firms: Effect of Energy Prices, Technology and Firm Characteristics," Working Papers id:2483, eSocialSciences.
    8. Hong, Gui-Bing & Ma, Chih-Ming & Chen, Hua-Wei & Chuang, Kai-Jen & Chang, Chang-Tang & Su, Te-Li, 2011. "Energy flow analysis in pulp and paper industry," Energy, Elsevier, vol. 36(5), pages 3063-3068.
    9. Caspar Sauter, 2014. "How should we measure environmental policy stringency? A new approach," IRENE Working Papers 14-01, IRENE Institute of Economic Research.
    10. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
    11. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    12. Apergis, Nicholas & Aye, Goodness C. & Barros, Carlos Pestana & Gupta, Rangan & Wanke, Peter, 2015. "Energy efficiency of selected OECD countries: A slacks based model with undesirable outputs," Energy Economics, Elsevier, vol. 51(C), pages 45-53.
    13. Mohammadi, Ali & Rafiee, Shahin & Mohtasebi, Seyed Saeid & Mousavi Avval, Seyed Hashem & Rafiee, Hamed, 2011. "Energy efficiency improvement and input cost saving in kiwifruit production using Data Envelopment Analysis approach," Renewable Energy, Elsevier, vol. 36(9), pages 2573-2579.
    14. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Electricity demand and conservation potential in the Chinese nonmetallic mineral products industry," Energy Policy, Elsevier, vol. 68(C), pages 243-253.
    15. Liming Yao & Jiuping Xu & Yifan Li, 2014. "Evaluation of the Efficiency of Low Carbon Industrialization in Cultural and Natural Heritage: Taking Leshan as an Example," Sustainability, MDPI, vol. 6(6), pages 1-18, June.
    16. He, Pinglin & Sun, Yulong & Niu, Hanlu & Long, Chengfeng & Li, Shufeng, 2021. "The long and short-term effects of environmental tax on energy efficiency: Perspective of OECD energy tax and vehicle traffic tax," Economic Modelling, Elsevier, vol. 97(C), pages 307-325.
    17. Chen, Yu & Lin, Boqiang, 2021. "Understanding the green total factor energy efficiency gap between regional manufacturing—insight from infrastructure development," Energy, Elsevier, vol. 237(C).
    18. Kumar Mandal, Sabuj & Madheswaran, S., 2010. "Environmental efficiency of the Indian cement industry: An interstate analysis," Energy Policy, Elsevier, vol. 38(2), pages 1108-1118, February.
    19. Anukriti Sharma & Hiranmoy Roy & Narendra Nath Dalei, 2019. "Estimation Of Energy Intensity In Indian Iron And Steel Sector: A Panel Data Analysis," Statistics in Transition New Series, Polish Statistical Association, vol. 20(2), pages 107-121, June.
    20. Lin, Boqiang & Chen, Yu, 2020. "Transportation infrastructure and efficient energy services: A perspective of China's manufacturing industry," Energy Economics, Elsevier, vol. 89(C).

    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:vrs:stintr:v:20:y:2019:i:2:p:107-121:n:6. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Peter Golla (email available below). General contact details of provider: https://stat.gov.pl/en/ .

    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.