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Empirical Analysis of Barriers to Energy Efficiency in Small Scale Industrial Cluster


  • IKU Punjab Technical University, Jalandhar – 144603, Punjab, India
  • Department of Mechanical Engineering, Chitkara University, Patiala – 140401, Punjab, India


Objectives: This research work is conducted in small scale industries to highlight energy efficiency gap that has often been neglected from the analysis in manufacturing cluster. The study is done to evaluate - Intensity of Barrier (IOB), Easiness of Barrier Removal (EOB) and Impact of Barrier Removal (IBREE) on Energy Efficiency for the top four barrier-groups by using mathematical model based on Analytic Hierarchy Process (AHP). Methods/Statistical Analysis: The data for AHP matrix is collected through an online questionnaire sent to 180 respondents from the list of 330 industries selected randomly. The four barrier groups are selected based on various studies conducted on Barriers to energy efficiency in India and abroad. The total cluster population consists of 330 Small Scale Manufacturing units in Mohali district of Punjab. Considering the reliability of respondents, the confidence interval 0.20 and confidence level 95% is chosen respectively. The calculated sample size using these parameters is 22. Findings: The Results highlighted many important findings that inhibit the energy efficiency benefits is these cluster and affect degree of implementation. Policy and Regulatory Barrier followed by Personal&Informational Barrier having score value 0.36 and 0.24 respectively are found to be high-intensity Barriers that act as impediments to energy efficiency policies in manufacturing cluster. The Personal&Informational Barrier is easiest to remove whereas Policy and Regulatory Barrier is most difficult to remove barrier group according to AHP results. Application/Improvements: The analysis pointed out that if Policy and Regulatory Barrier is removed would result in significant chances of achieving energy efficiency in these clusters. An initiative from state government bodies in collaboration with field specific experts is necessary to formulate effective policies to address this barrier group. The Personal&Informational Barrier can be addressed through regular interactions with experts, training programs and behavior modification techniques.


AHP, Barriers, Criteria-Alternatives, Energy-Efficiency, Manufacturing Cluster.

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  • Energy `supply and consumption in India [Internet]. [cited 2016 Mar 23]. Avialable from: content/energy-efficiency, paragraph-4
  • Roy G, Albrecht K, Mahajan KC, Ramaswamy S. General Aspects of Energy Management and Energy Audit. Bureau of Energy Efficiency Ministry of Power Government of India; 2010. p. 10–1.
  • Ministry of Small Scale Industries Annual Report; 2015. p. 1–278.
  • United Nations Industrial Development Organization; 2001. p. 1–2.
  • Annual report of finance ministry. Government of India; 2016. p. 1–397.
  • Ministry of Finance Government of India [Internet]. [cited 2016 Feb 29]. Available from: AnnualReport2015-16.pdf
  • International Energy Agency. World Energy Statistics; 2015. p. 19–26.
  • Sorrell S, Malley E, Schleich J, Scott S. The economics of energy efficiency - Barriers to cost-effective investment. Journal of Energy. 2004 May; 12:112–9.
  • Rohdin P, Thollander P, Solding P. Barriers to and drivers for energy efficiency in the Swedish foundry industry. Energy Policy. 2007 Apr; 35(1):672–7. Crossref
  • Schleich J. Barriers to energy efficiency: A comparison across the German commercial and services sector. Ecological Economics. 2009; 68(7):2150–9. Crossref
  • Gruber E. Beyond case studies: barriers to energy efficiency in commerce and the services sector. Energy Economics. 2008; 30(2):449–64. Crossref
  • Thollander P, Dotzauer E. An energy efficiency program for Swedish industrial small- and medium-sized enterprises. Journal of Cleaner Production. 2010; 18(13):1339–46. Crossref
  • Trianni A, Cagno E. Dealing with barriers to energy efficiency and SMEs: some empirical pieces of evidence. Energy. 2012 Nov; 37(1):494–504. Crossref
  • Cagno E, Tirrani A. Dealing with barriers to energy efficiency and SMEs: Some empirical evidence. International Journal of Energy. 2011; 37: 494–504.
  • Gielen D, Taylor P. Indicators for industrial energy efficiency in India, International Energy Journal. 2009 Apr; 34:962–9. Crossref
  • Pire L, Antonio G, Carlos H, Candido D. A multi‐criteria decision approach to sorting actions for promoting energy efficiency. Energy Policy. 2008 Jan; 36:2351–63. Crossref
  • Nagesha N, Balachandra P. Barriers to energy efficiency in small industry clusters: multi-criteria based prioritisation using the Analytic Hierarchy Process. International Journal of Energy. 2004 Nov; 31:1969–83. Crossref
  • Dasgupta N. Energy efficiency and environmental improvements in small‐scale Industries: Present initiatives in India are not working. Energy Policy Journal. 1999 Jul; 27(13):789–800. Crossref
  • Brown AM. Market failures and barriers as a basis for clean energy policies International Journal of Energy Policy. 2001 Apr; 29:1197–207.
  • Rosnah Y, Kok P, Hashmi MS. A preliminary study on the potential use of the Analytical Hierarchical Process (AHP) to predict Advanced Manufacturing Technology (AMT) implementation. International Journal of Robotics and Computer Integrated Manufacturing. 2001; 35:401–27.
  • Kablan M. Decision support for energy conservation promotion: An analytic hierarchy process approach. International Journal of Energy Policy. 2004; 35:1151–8. Crossref
  • Saaty LT. Decision making with the analytic hierarchy process. International Journal of Sciences and Services. 2008; 1:12–27. Crossref
  • Sameeeksha. Small and Medium Enterprises: Energy Efficiency Knowledge Sharing. The Energy and Resources Institute (TERI); 2015. p. 1–30.


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