SMES’ ENERGY EFFICIENCY IMPROVEMENT: THE ROLES OF KNOWLEDGE, GOVERNMENT INTERVENTION AND PERSONAL NORMS
DOI:
https://doi.org/10.33736/ijbs.6426.2023Keywords:
Energy efficiency improvement, government intervention, knowledge, personal norms, SMEsAbstract
Energy efficiency is like the ‘low hanging fruit’ in which improving energy efficiency is one of the easiest ways to lessen energy demand. Firms, large or small, can make a major positive contribution to energy sustainability by improving energy efficiency. This research attempts to examine the effects of SMEs’ perceptions in terms of knowledge, government intervention and personal norms on their support for energy efficiency improvement. A survey was carried out to collect data and empirical testing of the research model was conducted. The estimated results suggest that the factors of knowledge and government intervention have significant effects on SMEs’ support for energy efficiency improvement. In addition, the results show that personal norms is an important mediator variable in influencing SMEs’ decision to improve energy efficiency. The findings of this research provide some fresh insights on energy efficiency improvement of SMEs and several notable implications can be drawn from this research.
References
Abadie, L. M., Ortiz, R. A., & Galarraga, I. (2012). Determinants of energy efficiency investments in the US. Energy Policy, 45(0), 551-56.
https://doi.org/10.1016/j.enpol.2012.03.002
Abrahamse, W., & Steg, L. (2009). How do socio-demographic and psychological factors relate to households' direct and indirect energy use and savings? Journal of Economic Psychology, 30, 711-720.
https://doi.org/10.1016/j.joep.2009.05.006
Alvonitis, G. J., & Salavou, H. E. (2007). Entrepreneurial orientation of SMEs, product innovativeness and performance. Journal of Business Research, 60(5), 566-575.
https://doi.org/10.1016/j.jbusres.2007.01.001
Apeaning, R.W., & Thollander, P. (2013). Barriers to and driving forces for industrial energy efficiency improvements in African industries: A case study of Ghana's largest industrial area. Journal of Cleaner Production, 53, 204-213.
https://doi.org/10.1016/j.jclepro.2013.04.003
Arens, M., Worrell, E., & Eichhammer, W. (2017). Drivers and barriers to the diffusion of energy-efficient technologies: A plant-level analysis of the German steel industry. Energy Efficiency, 10, 441-457.
https://doi.org/10.1007/s12053-016-9465-4
Blass, V., Corbett, C.J., Delmas, M.A. & Muthulingam, S. (2014). Top management and the adoption of energy efficiency practices: Evidence from small and medium-sized manufacturing firms in the US. Energy, 65, 560-571.
https://doi.org/10.1016/j.energy.2013.11.030
Brosch, T., Patel, M.K., & Sander, D. (2014). Affective influences on energy-related decisions and behaviors. Frontiers in Energy Research, 2, Article 11, 1-12.
https://doi.org/10.3389/fenrg.2014.00011
Brown, M. A. (2001). Market failures and barriers as a basis for clean energy policies. Energy Policy, 29(14), 1197-1207.
https://doi.org/10.1016/S0301-4215(01)00067-2
Brunke, J. C., Johansson, M. & Thollander, P. (2014). Empirical Investigation of barriers to the adoption of energy conservation measures, energy management practices and energy services in the Swedish iron and steel industry. Journal of Cleaner Production, 84(1), 509-525.
https://doi.org/10.1016/j.jclepro.2014.04.078
Byrne, B. M. (2010). Structural Equation Modeling with AMOS Basic Concepts, Applications, and Programming (2nd ed.). Routledge.
Cagno, E. & Trianni, A. (2014). Evaluating the barriers to specific industrial energy efficiency measures: An exploratory study in small and medium-sized enterprises. Journal of Cleaner Production, 82, 70-83.
https://doi.org/10.1016/j.jclepro.2014.06.057
Cagno, E., Trianni, A., Spallina, G., & Marchesani, F. (2017). Drivers for energy efficiency and their effect on barriers: Empirical evidence from Italian manufacturing enterprises. Energy Efficiency, 10, 855-869.
https://doi.org/10.1007/s12053-016-9488-x
Chai, K.H., & Baudelaire, C. (2015). Understanding the energy efficiency gap in Singapore: A motivation, opportunity, and ability perspective. Journal of Cleaner Production, 100, 224-234.
https://doi.org/10.1016/j.jclepro.2015.03.064
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, New Jersey: Lawrence Erlbaum Associates.
Cohen, J. (1992). A power primer. Psychological Bulletin, 112 (1), 155-159.
https://doi.org/10.1037/0033-2909.112.1.155
DeCanio, S. J. (1998). The efficiency paradox: bureaucratic and organizational barriers to profitable energy-saving investments. Energy Policy, 26(5), 441-454.
https://doi.org/10.1016/S0301-4215(97)00152-3
Department of Statistics Malaysia. (2021). Small and Medium Enterprises (SMEs) Performance 2020. Ministry of Economy, Malaysia.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18 (1), 39-50.
https://doi.org/10.1177/002224378101800104
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). (3rd Ed). SAGE Publications, Inc. Harland, P., Staats, H., & Wilke, H. A. M. (2007). Situational and Personality Factors as Direct or Personal Norm Mediated Predictors of Pro-environmental Behavior: Questions Derived From Norm-Activation Theory. Basic and Applied Social Psychology, 29(4), 323-334.
https://doi.org/10.1080/01973530701665058
Harris, R. G. (2001). The knowledge-based economy: Intellectual origins and new economic perspectives. International Journal of Management Reviews, 3(1), 21-40.
https://doi.org/10.1111/1468-2370.00052
Hasanbeigi, A., Menke, C., & du Pont, P. (2010). Barriers to energy efficiency improvement and decision-making behavior in Thai industry. Energy Efficiency, 3, 33-52.
https://doi.org/10.1007/s12053-009-9056-8
Hoyle, R. H. (1995). The structural equation modeling approach: Basic concepts and fundamental issues. In Structural equation modeling: Concepts, issues, and applications. SAGE Publications, Inc.
Hrovatin, N., Dolšak, N., & Zoric', J. (2016). Factors impacting investments in energy efficiency and clean technologies: Empirical evidence from Slovenian manufacturing firms. Journal of Cleaner Production, 127, 475-486.
https://doi.org/10.1016/j.jclepro.2016.04.039
Kinzig, A. P., Ehrlich, P.R., Alston, L. J., Arrow, K., Barrett, S., Buchman, T. G., Daily, G. C., Levin, B., Levin, S., Oppenheimer, M., Ostrom, E., & Saari, D. (2013). Social Norms and Global Environmental Challenges: The Complex Interaction of Behaviors, Values, and Policy. BioScience, 63(3), 164-175.
https://doi.org/10.1525/bio.2013.63.3.5
Kounetas, K., & Tsekouras, K. (2008). The energy efficiency paradox revisited through a partial observability approach. Energy Economics, 30(5), 2517-2536.
https://doi.org/10.1016/j.eneco.2007.03.002
Kulin, J., & Sevä, I. J. (2021). Quality of government and the relationship between environmental concern and pro-environmental behavior: a cross-national study. Environmental Politics, 30(5), 727-752.
https://doi.org/10.1080/09644016.2020.1809160
Lyon, D. W., Lumpkin, G. T., & Dess, G. G. (2000). Enhancing entrepreneurial orientation research: operationalizing and measuring a key strategic decision making process. Journal of Management, 26(5), 1055-1085.
https://doi.org/10.1177/014920630002600503
May, G., Barletta, I., Stahl, B. & Taisch, M. (2015). Energy management in production: A novel method to develop key performance indicators for improving energy efficiency. Applied Energy, 149, 46-61.
https://doi.org/10.1016/j.apenergy.2015.03.065
Nickerson, J. A. & Zenger, T. R. (2004). A knowledge-based theory of the firm: The problem-solving perspective. Organization Science, 15(6), 617-632.
https://doi.org/10.1287/orsc.1040.0093
Nyborg, K. (2003). The Impact of Public Policy on Social and Moral Norms: Some Examples. Journal of Consumer Policy, 26, 259-277.
https://doi.org/10.1023/A:1025622223207
Oikonomou, V., Becchis, F., Steg, L., & Russolillo, D. (2009). Energy Saving and Energy Efficiency Concepts for Policy Making. Energy Policy, 37, 4787-4796.
https://doi.org/10.1016/j.enpol.2009.06.035
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in simple and multiple mediator models. Behavior Research Methods, 40, 879-891.
https://doi.org/10.3758/BRM.40.3.879
Pye, M., & McKane, A. (2000). Making a stronger case for industrial energy efficiency by quantifying non-energy benefits. Resources, Conservation and Recycling, 28, 171-183.
https://doi.org/10.1016/S0921-3449(99)00042-7
Ringle, C. M., Wende, S. & Will, A. (2005). SmartPLS. Retrieved from www.smartpls.de.
Ryan, L. & Campell, N. (2012). Spreading the net: The multiple benefits of energy efficiency improvements. Insights Series. International Energy Agency.
Sandberg, P., & Söderström, M. (2003). Industrial energy efficiency: The need for investment decision support from a manager perspective. Energy Policy, 31, 1623-1634.
https://doi.org/10.1016/S0301-4215(02)00228-8
Schwartz, S. H. (1977). Normative influences on altruism. Advances in Experimental Social Psychology, 10, 221-279. SME Corporation Malaysia. (2013). Guideline for New SME Definition. SME Corporation Malaysia.
https://doi.org/10.1016/S0065-2601(08)60358-5
Steg, L., Dreijerink, L., & Abrahamse, W. (2005). Factors influencing the acceptability of energy policies: A test of VBN theory. Journal of Environmental Psychology, 25, 415-425.
https://doi.org/10.1016/j.jenvp.2005.08.003
Steg, L., & Vlek, C. (2008). Encouraging pro-environmental behaviour: An integrative review and research agenda. Journal of Environmental Psychology, 20(30), 309-317.
https://doi.org/10.1016/j.jenvp.2008.10.004
Stern, P. C. (2000). Toward a coherent theory of environmentally significant behaviour. Journal of Social Issues, 56(3), 407-424.
https://doi.org/10.1111/0022-4537.00175
Thollander, P., Danestig, M., & Rohdin, P. (2007). Energy policies for increased industrial energy efficiency: Evaluation of a local energy programme for manufacturing SMEs. Energy Policy, 35(11), 5774-5783.
https://doi.org/10.1016/j.enpol.2007.06.013
Trianni, A., & Cagno, E. (2012). Dealing with barriers to energy efficiency and SMEs: Some empirical evidences. Energy, 37(1), 494-504.
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