IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v190y2024ics0301421524001599.html
   My bibliography  Save this article

Market instrument for the first fuel and its role in decarbonizing Indian industrial production

Author

Listed:
  • Giri, Prashant
  • Sharma, Tarun

Abstract

India introduced Perform, Achieve, and Trade (PAT) scheme in 2012; it assigns targets to energy-intensive industries with estimated energy savings of 11–16% to enhance energy efficiency and allows energy-saving certificates trading. We qualitatively review India's energy efficiency policy landscape, including the institutional structure, operational trajectory, and outcomes of the PAT scheme's completed cycles. We identify four research themes: 1) Industry-wise specific energy consumption correlation with various factors of the industrial sector under PAT should be identified; 2) PAT scheme impact on aluminium, chlor alkali, textile, etc. Lacks exploration; 3) Realistic baseline target setting should be done for designated consumers under PAT scheme, and 4) machine learning based monitoring and verification for PAT scheme is still nascent but appears promising. We find a lack of ambition in the targets, which are easily met and could harm future investments in energy efficiency.

Suggested Citation

  • Giri, Prashant & Sharma, Tarun, 2024. "Market instrument for the first fuel and its role in decarbonizing Indian industrial production," Energy Policy, Elsevier, vol. 190(C).
  • Handle: RePEc:eee:enepol:v:190:y:2024:i:c:s0301421524001599
    DOI: 10.1016/j.enpol.2024.114139
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421524001599
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2024.114139?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Mahanty, Biswajit, 2017. "Compliance choice analysis for India's thermal power sector in the market-based energy efficiency regime," Energy Policy, Elsevier, vol. 108(C), pages 624-633.
    2. Jon Kleinberg & Jens Ludwig & Sendhil Mullainathan & Ziad Obermeyer, 2015. "Prediction Policy Problems," American Economic Review, American Economic Association, vol. 105(5), pages 491-495, May.
    3. Sanchez, Luis F. & Stern, David I., 2016. "Drivers of industrial and non-industrial greenhouse gas emissions," Ecological Economics, Elsevier, vol. 124(C), pages 17-24.
    4. Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Sahoo, Biresh K. & Mahanty, Biswajit, 2017. "Rationality of energy efficiency improvement targets under the PAT scheme in India – A case of thermal power plants," Energy Economics, Elsevier, vol. 66(C), pages 279-289.
    5. Moon, Hana & Min, Daiki, 2017. "Assessing energy efficiency and the related policy implications for energy-intensive firms in Korea: DEA approach," Energy, Elsevier, vol. 133(C), pages 23-34.
    6. Esther Duflo & Michael Greenstone & Nicholas Ryan, 2013. "Truth-telling by Third-party Auditors and the Response of Polluting Firms: Experimental Evidence from India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1499-1545.
    7. Manojlović, Vaso & Kamberović, Željko & Korać, Marija & Dotlić, Milan, 2022. "Machine learning analysis of electric arc furnace process for the evaluation of energy efficiency parameters," Applied Energy, Elsevier, vol. 307(C).
    8. Kaumudi Misra, 2019. "Impact of perform-achieve-trade policy on the energy intensity of cement and iron and steel industries in India," Working Papers 451, Institute for Social and Economic Change, Bangalore.
    9. Hu, R.L. & Granderson, J. & Auslander, D.M. & Agogino, A., 2019. "Design of machine learning models with domain experts for automated sensor selection for energy fault detection," Applied Energy, Elsevier, vol. 235(C), pages 117-128.
    10. Dani Rodrik, 2014. "Green industrial policy," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 30(3), pages 469-491.
    11. Ke, Jing & Price, Lynn & McNeil, Michael & Khanna, Nina Zheng & Zhou, Nan, 2013. "Analysis and practices of energy benchmarking for industry from the perspective of systems engineering," Energy, Elsevier, vol. 54(C), pages 32-44.
    12. Dutta, Monica & Mukherjee, Saptarshi, 2010. "An outlook into energy consumption in large scale industries in India: The cases of steel, aluminium and cement," Energy Policy, Elsevier, vol. 38(11), pages 7286-7298, November.
    13. Da Zhang & Qin Zhang & Shaozhou Qi & Jinpeng Huang & Valerie J. Karplus & Xiliang Zhang, 2019. "Integrity of firms’ emissions reporting in China’s early carbon markets," Nature Climate Change, Nature, vol. 9(2), pages 164-169, February.
    14. Sudhakara Reddy, B. & Kumar Ray, Binay, 2011. "Understanding industrial energy use: Physical energy intensity changes in Indian manufacturing sector," Energy Policy, Elsevier, vol. 39(11), pages 7234-7243.
    15. Phdungsilp, Aumnad & Wuttipornpun, Teeradej, 2013. "Analyses of the decarbonizing Thailand's energy system toward low-carbon futures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 187-197.
    16. Balachandra, P. & Ravindranath, Darshini & Ravindranath, N.H., 2010. "Energy efficiency in India: Assessing the policy regimes and their impacts," Energy Policy, Elsevier, vol. 38(11), pages 6428-6438, November.
    17. Bhattacharya, Tanushree & Kapoor, Richa, 2012. "Energy saving instrument – ESCerts in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1311-1316.
    18. Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Mahanty, Biswajit, 2018. "Examining the process of normalising the energy-efficiency targets for coal-based thermal power sector in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 342-352.
    19. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    20. Arnulf Grubler & Charlie Wilson & Nuno Bento & Benigna Boza-Kiss & Volker Krey & David L. McCollum & Narasimha D. Rao & Keywan Riahi & Joeri Rogelj & Simon Stercke & Jonathan Cullen & Stefan Frank & O, 2018. "A low energy demand scenario for meeting the 1.5 °C target and sustainable development goals without negative emission technologies," Nature Energy, Nature, vol. 3(6), pages 515-527, June.
    21. Bagchi, Prantik & Sahu, Santosh Kumar & Kumar, Ajay & Tan, Kim Hua, 2022. "Analysis of carbon productivity for firms in the manufacturing sector of India," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    22. Haider, Salman & Mishra, Prajna Paramita, 2021. "Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis," Energy Economics, Elsevier, vol. 95(C).
    23. Bhandari, Divita & Shrimali, Gireesh, 2018. "The perform, achieve and trade scheme in India: An effectiveness analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1286-1295.
    24. Brouwers, Roel & Schoubben, Frederiek & Van Hulle, Cynthia & Van Uytbergen, Steve, 2016. "The initial impact of EU ETS verification events on stock prices," Energy Policy, Elsevier, vol. 94(C), pages 138-149.
    25. Alam, Md. Samsul & Atif, Muhammad & Chien-Chi, Chu & Soytaş, Uğur, 2019. "Does corporate R&D investment affect firm environmental performance? Evidence from G-6 countries," Energy Economics, Elsevier, vol. 78(C), pages 401-411.
    26. Kumar, Rajesh & Agarwala, Arun, 2013. "Energy certificates REC and PAT sustenance to energy model for India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 315-323.
    27. Mandal, Sabuj Kumar, 2010. "Do undesirable output and environmental regulation matter in energy efficiency analysis? Evidence from Indian Cement Industry," Energy Policy, Elsevier, vol. 38(10), pages 6076-6083, October.
    28. Hu, Yucai & Ren, Shenggang & Wang, Yangjie & Chen, Xiaohong, 2020. "Can carbon emission trading scheme achieve energy conservation and emission reduction? Evidence from the industrial sector in China," Energy Economics, Elsevier, vol. 85(C).
    29. Berner, Anne & Lange, Steffen & Silbersdorff, Alexander, 2022. "Firm-level energy rebound effects and relative efficiency in the German manufacturing sector," Energy Economics, Elsevier, vol. 109(C).
    30. Alessandro Liberati & Douglas G Altman & Jennifer Tetzlaff & Cynthia Mulrow & Peter C Gøtzsche & John P A Ioannidis & Mike Clarke & P J Devereaux & Jos Kleijnen & David Moher, 2009. "The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-28, July.
    31. Satoshi Honma & Jin-Li Hu, 2018. "A meta-stochastic frontier analysis for energy efficiency of regions in Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-16, December.
    32. Oak, Hena & Bansal, Sangeeta, 2022. "Enhancing energy efficiency of Indian industries: Effectiveness of PAT scheme," Energy Economics, Elsevier, vol. 113(C).
    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. Pal, Kalyani & Mukhopadhyay, Jyoti Prasad & Bhagawan, Praveen, 2024. "Does cap-and-trade scheme impact energy efficiency and firm value? Empirical evidence from India," Energy Economics, Elsevier, vol. 134(C).
    2. Haider, Salman & Danish, Mohd Shadab & Sharma, Ruchi, 2019. "Assessing energy efficiency of Indian paper industry and influencing factors: A slack-based firm-level analysis," Energy Economics, Elsevier, vol. 81(C), pages 454-464.
    3. Oak, Hena & Bansal, Sangeeta, 2022. "Enhancing energy efficiency of Indian industries: Effectiveness of PAT scheme," Energy Economics, Elsevier, vol. 113(C).
    4. 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).
    5. Naguib, Costanza, 2019. "Estimating the Heterogeneous Impact of the Free Movement of Persons on Relative Wage Mobility," Economics Working Paper Series 1903, University of St. Gallen, School of Economics and Political Science.
    6. Erik Heilmann & Janosch Henze & Heike Wetzel, 2021. "Machine learning in energy forecasts with an application to high frequency electricity consumption data," MAGKS Papers on Economics 202135, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    7. Tranos, Emmanouil & Incera, Andre Carrascal & Willis, George, 2022. "Using the web to predict regional trade flows: data extraction, modelling, and validation," OSF Preprints 9bu5z, Center for Open Science.
    8. Zhang, Yijun & Li, Xiaoping & Song, Yi & Jiang, Feitao, 2021. "Can green industrial policy improve total factor productivity? Firm-level evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 51-62.
    9. Bryan T. Kelly & Asaf Manela & Alan Moreira, 2019. "Text Selection," NBER Working Papers 26517, National Bureau of Economic Research, Inc.
    10. Augusto Cerqua & Marco Letta & Gabriele Pinto, 2024. "On the (Mis)Use of Machine Learning with Panel Data," Papers 2411.09218, arXiv.org.
    11. Delogu, Marco & Lagravinese, Raffaele & Paolini, Dimitri & Resce, Giuliano, 2024. "Predicting dropout from higher education: Evidence from Italy," Economic Modelling, Elsevier, vol. 130(C).
    12. Thirugnanasambandam, M. & Hasanuzzaman, M. & Saidur, R. & Ali, M.B. & Rajakarunakaran, S. & Devaraj, D. & Rahim, N.A., 2011. "Analysis of electrical motors load factors and energy savings in an Indian cement industry," Energy, Elsevier, vol. 36(7), pages 4307-4314.
    13. Heller, Yuval & Tubul, Itay, 2023. "Strategies in the repeated prisoner’s dilemma: A cluster analysis," MPRA Paper 117444, University Library of Munich, Germany.
    14. Susheng Wang & Gang Chen & Xue Han, 2021. "An Analysis of the Impact of the Emissions Trading System on the Green Total Factor Productivity Based on the Spatial Difference-in-Differences Approach: The Case of China," IJERPH, MDPI, vol. 18(17), pages 1-18, August.
    15. Michael J. Weir & Thomas W. Sproul, 2019. "Identifying Drivers of Genetically Modified Seafood Demand: Evidence from a Choice Experiment," Sustainability, MDPI, vol. 11(14), pages 1-21, July.
    16. Xu, Mengmeng & Tan, Ruipeng & He, Xinju, 2022. "How does economic agglomeration affect energy efficiency in China?: Evidence from endogenous stochastic frontier approach," Energy Economics, Elsevier, vol. 108(C).
    17. Filmer,Deon P. & Nahata,Vatsal & Sabarwal,Shwetlena, 2021. "Preparation, Practice, and Beliefs : A Machine Learning Approach to Understanding Teacher Effectiveness," Policy Research Working Paper Series 9847, The World Bank.
    18. Hazal Colak Oz & Çiçek Güven & Gonzalo Nápoles, 2023. "School dropout prediction and feature importance exploration in Malawi using household panel data: machine learning approach," Journal of Computational Social Science, Springer, vol. 6(1), pages 245-287, April.
    19. Oliver Lock & Michael Bain & Christopher Pettit, 2021. "Towards the collaborative development of machine learning techniques in planning support systems – a Sydney example," Environment and Planning B, , vol. 48(3), pages 484-502, March.
    20. Tsun Se Cheong & Guanghua Wan & David Kam Hung Chui, 2022. "Unveiling the Relationship between Economic Growth and Equality for Developing Countries," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(5), pages 1-28, September.

    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:eee:enepol:v:190:y:2024:i:c:s0301421524001599. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.