Ackah, Ishmael (2017): Analysis OF Energy Efficiency Practices of SMEs in Ghana: An application of Product Generational Dematerialisation.
Preview |
PDF
MPRA_paper_77484.pdf Download (921kB) | Preview |
Abstract
Reducing the amount of energy used in producing a given output is a cost-effective way of tackling global warming. In addition, energy efficiency promotes energy security and saves cost. This study is structured in three parts. First, the energy efficiency practices of small and medium scale enterprises in rural Ghana are investigated. Second, the study applies the Product Generational Dematerialisation method to examine the energy efficiency consumption of electricity and fossil fuels in Ghana. Finally, the general unrestricted model (GUM) is applied to energy consumption in Ghana. The results reveal that reduction in energy consumption among SMEs can be attributed mostly to blackouts and not efficiency as indicated by 72% of the respondents. Further, all three models confirmed that the consumption of energy has not been efficient. Further, productivity was found to be a major driver of energy efficiency. The study recommends public education and the use of new appliances (‘not second hand’) to save energy.
Item Type: | MPRA Paper |
---|---|
Original Title: | Analysis OF Energy Efficiency Practices of SMEs in Ghana: An application of Product Generational Dematerialisation |
Language: | English |
Keywords: | Energy Efficiency, Energy Consumption, Ghana, Product Generational Dematerialization, SMEs |
Subjects: | Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q2 - Renewable Resources and Conservation Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q2 - Renewable Resources and Conservation > Q21 - Demand and Supply ; Prices Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q2 - Renewable Resources and Conservation > Q28 - Government Policy Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q41 - Demand and Supply ; Prices |
Item ID: | 77484 |
Depositing User: | Mr ISHMAEL ACKAH |
Date Deposited: | 13 Mar 2017 14:32 |
Last Modified: | 26 Sep 2019 10:18 |
References: | Adom, K.P., & Bekoe, W. (2012). Conditional dynamic forecast of electrical energy consumption requirements in Ghana by 2020: A comparison of ARDL and PAM. Energy Policy, 44, 367–380. Adom P.K., Bekoe, W., & Akoena, S.K.K. (2012) Modeling aggregate domestic electricity demand in Ghana: An autoregressive distributed lag bounds cointegration approach. Energy Policy, 42, 530–537. Aiyar, M. S., Duval, M. R. A., Puy, M. D., Wu, M. Y., & Zhang, M. L. (2013). Growth slowdowns and the middle-income trap (No. 13-71). International Monetary Fund. Alston, J. M., & Larson, D. M. (1993). Hicksian vs. Marshallian welfare measures: Why do we do what we do?. American Journal of Agricultural Economics, 75(3), 764–769. Ang, B. W. (2006). Monitoring changes in economy-wide energy efficiency: from energy–GDP ratio to composite efficiency index. Energy Policy, 34(5), 574-582. 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. Bera, A. K., & Jarque, C. M. (1982). Model specification tests: A simultaneous approach. Journal of econometrics, 20(1), 59-82. Berndt, E. R. (1990). Energy use, technical progress and productivity growth: a survey of economic issues. Journal of Productivity Analysis, 2(1), 67-83. Bhattacharyya, S. C., & Timilsina, G. R. (2009). Energy demand models for policy formulation: a comparative study of energy demand models. World Bank Policy Research Working Paper Series, Vol. Brace, I. (2004). Questionnaire design: how to plan, structure and write survey material for effective market research. Kogan Page, cop., London. Braimah, I., & Amponsah, O. (2012). Causes and Effects of Frequent and Unannounced Electricity Blackouts on the Operations of Micro and Small Scale Industries in Kumasi. Journal of Sustainable Development, 5(2), p17. Breusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica: Journal of the Econometric Society, 1287-1294. Bertoldi, P., Rezessy, S., & Bürer, M.J. (2005). Will emission trading promote end-use energy efficiency and renewable energy projects? In: Proceedings of the 2005 ACEEE summer study on energy efficiency in industry, vol. 4. American Council for an Energy-Efficient Economy, 1–12. Boyd, G. A., & Pang, J. X. (2000). Estimating the linkage between energy efficiency and productivity. Energy Policy, 28(5), 289–296. Breusch, T. S., & Godfrey, L. G. (1981). A review of recent work on testing for autocorrelation in dynamic linear models. Macroeconomic Analysis: Essays in Macroeconomics and Macroeconometrics (ed. DA Currie, R. Nobay and D. Peel). London. Clancy, J., & Dutta, S. (2005, May). Women and productive uses of energy: Some light on a shadowy area. In: Paper presented at the UNDP Meeting on Productive Uses of Renewable Energy (Vol. 9, p. 11). Dan, S. (2002). The improvement of energy consumption efficiency In China's economic growth [J]. Economic Research Journal, 9, 49–56. Deindl, M., Block, C., Vahidov, R., & Neumann, D. (2008). Load shifting agents for automated demand side management in micro energy grids. In: Proceedings of the Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO’08), Venice, Italy, 20–24 October 2008. IEEE Computer Society: Washington, DC, USA, 2008; pp. 487–488. Dilaver, Z., & Hunt, L. C. (2011). Industrial electricity demand for Turkey: a structural time series analysis. Energy Economics, 33(3), 426-436. Dincer, I. (2002). On thermal energy storage systems and applications in buildings. Energy and Buildings, 34(4), 377–388. Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica: Journal of the Econometric Society, 987-1007. Fiksel, J., Eason, T., & Frederickson, H. (2012). A framework for sustainability indicators at EPA. National Risk Management Research Laboratory: Cincinnati, OH, USA. Gboney, W. (2009). Policy and regulatory framework for renewable energy and energy efficiency development in Ghana. Climate Policy, 9(5), 508–516. Gottwalt, S., Ketter, W., Block, C., & Weinhardt, J.C. (2011). Demand side management – A simulation of household behavior under variable prices. Energy Policy 39(12), 8163–8174. Guidat, T., Uoti, M., Tonteri, H., Määttä, T., 2015. A classification of remanufacturing networks in Europe and their influence on new entrants. 12th Global Conference on Sustainable Manufacturing, Procedia CIRP 26, pp. 683–688 Gyamfi, S. (2007). The role of demand response in managing Ghana's electricity supply. http://www.ghanaweb.com/GhanaHomePage/features/artikel.php?ID=125746 Hager, T.J.& Morawicki, R.( 2013). “Energy consumption during cooking in the residential sector of developed nations: A review.” Food Policy. 40: 55-63. doi: http://dx.doi.org/10.1016/j.foodpol.2013.02.003 Hendry, D. F., & Krolzig, H. M. (2005). The properties of automatic gets modelling. The Economic Journal, 115(502), C32–C61. Hunt, L. C., Judge, G., & Ninomiya, Y. (2003). Underlying trends and seasonality in UK energy demand: a sectoral analysis. Energy Economics,25(1), 93-118. International Energy Agency (2014) Paris. http://www.iea.org/topics/energyefficiency/ International Energy Agency (IEA). (2007). Tracking industrial energy efficiency and CO2 emissions. In: Support of the G8 Plan of Action. Energy Indicators. ISSER (2013). The state of the Ghanaian economy in 2013. Legon: Institute of Statistical Social and Economic Research. Jaffe, A. B., & Stavins, R. N. (1994). The energy-efficiency gap: What does it mean? Energy Policy, 22(10), 804–810. Jorgenson, D. W. (1984). The role of energy in productivity growth. The Energy Journal, 5(3), 11–26. Kander, A. (2002). Economic growth, energy consumption and CO2 emissions in Sweden 1800-2000 (Vol. 19). Lund University. Labuschagne, C., Brent, A. C., & Van Erck, R. P. (2005). Assessing the sustainability performances of industries. Journal of cleaner production, 13(4), 373-385. McKinsey Global Institute Productivity of Growing Energy Demand: A Microeconomic Perspective”, 2010 Mohsenian-Rad, A., Wong, V.W.S., Jatskevich, J., Schober, R., & Leon-Garcia, A. (2010). Autonomous demand-side management based on game-theoretic energy consumption Scheduling for the future smart grid. System 2010, 1, 320–331. Ofosu-Ahenkorah, A. K. (2008). Ghana’s Energy Resource Options: Energy Conservation in Energy and Ghana’s Socio-economic Development, Development and Policy Dialogue Report One, George Benneh Foundation, Accra (pp. 51 - 65). Okalebo, J., & Hankins, M. (1997), Why women adopt solar dryers, In: ENERGIA News, 1(3), 6–7. Orser, B. J., Hogarth-Scott, S., & Riding, A. L. (2000). Performance, firm size, and management problem solving. Journal of Small Business Management,38(4), 42. Patterson, M. G. (1996). What is energy efficiency?: Concepts, indicators and methodological issues. Energy Policy, 24(5), 377–390. Pellini, E.G. (2014). Essays on European Electricity Market Integration (Doctoral dissertation, University of Surrey). Ma, C., & Stern, D. I. (2008). China's changing energy intensity trend: A decomposition analysis. Energy Economics, 30(3), 1037–1053. Pace University. (2007). UNEP Handbook for drafting laws on energy efficiency and renewable energy resources. UNEP/Earthprint. Palensky, P., & Dietrich, D. (2011). Demand side management: Demand response, intelligent energy systems, and smart loads. Industrial Informatics, IEEE Transactions on, 7(3), 381–388. Ramirez, C.A., Patel, M., & Blok, K. (2005). The non-energy intensive manufacturing sector. An energy analysis relating to the Netherlands. Energy, 30 (5), 749–767 Ramsey, J. B. (1974). Classical model selection through specification error tests. Frontiers in econometrics, 13-47. Recalde, M. Y., Guzowski, C., & Zilio, M. I. (2014). Are modern economies following a sustainable energy consumption path?. Energy for Sustainable Development, 19, 151-161. Shipley, A. M., & Elliott, R. N. (2001). Energy efficiency programs for small and medium sized industry. Shirley, Wayne. "Barriers to Energy Efficiency." In Mid-Atlantic Conference of Regulatory Utilities Commissioners. Regulatory Assistance Project. 2005. Sorrell, S. (2007). The rebound effect: An assessment of the evidence for economy-wide energy savings from improved energy efficiency. A report produced by the Sussex Energy Group for the Technology and Policy Assessment function of the UK Energy Research Centre. Strabac, G. (2008). Demand side management: Benefits and challenges. Energy policy, 36(12), 4419-4426. Sun, J.W., & Meristo, T. (1999). Measurement of dematerialization/materialization. Technological Forecasting and Social Change, 60(3), 275–294. Sutherland, R. J. (1991). Market barriers to energy-efficiency investments.The Energy Journal, 15-34. 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, 5774–5783. Van Buskirk, E. K., Decker, P. V., & Chen, M. (2012). Photo bodies in light signalling. Plant physiology, 158(1), 52-60. Weber, S. (1997). The end of the business cycle? Foreign Affairs, 76, 65–82. Worrell, E., Laitner, J., Ruth, M., & Finman, H. (2003). Productivity benefits of industrial energy efficiency measures. Energy, 28 (12): 1081–1098. Zaman, K., Khan, M. M., & Saleem, Z. (2011). Bivariate cointegration between energy consumption and development factors: A case study of Pakistan. International Journal of Green Energy, 8(8), 820–833. Zhang, Z. (2003). Why did the energy intensity fall in China's industrial sector in the 1990s? The relative importance of structural change and intensity change. Energy Economics, 25(6), 625–638. Zhou, P., Ang, B. W., & Poh, K. L. (2008). A survey of data envelopment analysis in energy and environmental studies. European Journal of Operational Research, 189(1), 1-18. Ziolkowska, J., & Ziolkowski, B. (2010). Generational dematerialisation of energy in the world economy: Evaluation approach for sustainable management policy. Journal of Environmental Assessment Policy and Management, 12(03), 291–309. Ziolkowska, J.R., & Ziolkowski, B. (2015). Energy efficiency in the transport sector in the EU-27: A dynamic dematerialization analysis. Energy Economics, 51, 21–30. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/77484 |