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Efficiency of household electricity consumption in Ghana

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  • Twerefou, Daniel Kwabena
  • Abeney, Jacob Opantu

Abstract

One explanation that can be associated with the inadequate focus on demand-side management of household electricity consumption is the poor knowledge on consumption inefficiency. This study estimates the efficiency of Ghanaian households' electricity consumption and factors influencing inefficiency using the energy demand frontier model and data from the seventh round of the Ghana Living Standards Survey. The results indicate that income is inelastic to electricity demand while price elasticity to demand is inversely related. Appliance ownership, number of rooms, location and ecological zones significantly affected electricity demand. The mean efficiency score is 63.0% for the entire sample and, 69.9% and 66.3% for rural and urban households respectively, suggesting the existence of an immense potential for implementation of energy efficiency measures. Factors that negatively influence efficiency included education, ageing and power outages. Households living in bungalows and apartments are less efficient compared to those in compound houses possibly because of self-monitoring behaviour. Compared to very poor households, poor and non-poor households are less efficient in electricity consumption while public sector employees are less energy efficient compared to the unemployed. Policy choices should focus on standardization of appliances, education on energy efficiency and development of the rural appliance markets through incentives.

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  • Twerefou, Daniel Kwabena & Abeney, Jacob Opantu, 2020. "Efficiency of household electricity consumption in Ghana," Energy Policy, Elsevier, vol. 144(C).
    • Handle: RePEc:eee:enepol:v:144:y:2020:i:c:s0301421520303918
    DOI: 10.1016/j.enpol.2020.111661
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    as
    1. Leahy, Eimear & Lyons, Sean, 2010. "Energy use and appliance ownership in Ireland," Energy Policy, Elsevier, vol. 38(8), pages 4265-4279, August.
    2. Blasch, Julia & Boogen, Nina & Filippini, Massimo & Kumar, Nilkanth, 2017. "Explaining electricity demand and the role of energy and investment literacy on end-use efficiency of Swiss households," Energy Economics, Elsevier, vol. 68(S1), pages 89-102.
    3. Massimo Filippini & Lester C. Hunt, 2011. "Energy Demand and Energy Efficiency in the OECD Countries: A Stochastic Demand Frontier Approach," The Energy Journal, , vol. 32(2), pages 59-80, April.
    4. Antonio Carvalho, 2016. "Energy Efficiency in Transition Economies: A Stochastic Frontier Approach," CEERP Working Paper Series 004, Centre for Energy Economics Research and Policy, Heriot-Watt University.
    5. Filippini, Massimo & Hunt, Lester C., 2012. "US residential energy demand and energy efficiency: A stochastic demand frontier approach," Energy Economics, Elsevier, vol. 34(5), pages 1484-1491.
    6. Danquah, Michael & Ouattara, Bazoumana, 2015. "What drives national efficiency in sub-Saharan Africa," Economic Modelling, Elsevier, vol. 44(C), pages 171-179.
    7. Kwakwa, Paul Adjei, 2014. "Energy-growth nexus and energy demand in Ghana: A review of empirical studies," MPRA Paper 54971, University Library of Munich, Germany, revised 01 Apr 2014.
    8. Mahapatra, Krushna & Gustavsson, Leif, 2008. "An adopter-centric approach to analyze the diffusion patterns of innovative residential heating systems in Sweden," Energy Policy, Elsevier, vol. 36(2), pages 577-590, February.
    9. Filippini, Massimo & Pachauri, Shonali, 2004. "Elasticities of electricity demand in urban Indian households," Energy Policy, Elsevier, vol. 32(3), pages 429-436, February.
    10. James M. Griffin, 1974. "The Effects of Higher Prices on Electricity Consumption," Bell Journal of Economics, The RAND Corporation, vol. 5(2), pages 515-539, Autumn.
    11. Adom, Philip Kofi & Bekoe, William & Akoena, Sesi Kutri Komla, 2012. "Modelling aggregate domestic electricity demand in Ghana: An autoregressive distributed lag bounds cointegration approach," Energy Policy, Elsevier, vol. 42(C), pages 530-537.
    12. Waldman, Donald M., 1982. "A stationary point for the stochastic frontier likelihood," Journal of Econometrics, Elsevier, vol. 18(2), pages 275-279, February.
    13. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    14. Boogen, Nina, 2017. "Estimating the potential for electricity savings in households," Energy Economics, Elsevier, vol. 63(C), pages 288-300.
    15. Eakins, John, 2016. "An application of the double hurdle model to petrol and diesel household expenditures in Ireland," Transport Policy, Elsevier, vol. 47(C), pages 84-93.
    16. Hori, Shiro & Kondo, Kayoko & Nogata, Daisuke & Ben, Han, 2013. "The determinants of household energy-saving behavior: Survey and comparison in five major Asian cities," Energy Policy, Elsevier, vol. 52(C), pages 354-362.
    17. Ouyang, Jinlong & Long, Enshen & Hokao, Kazunori, 2010. "Rebound effect in Chinese household energy efficiency and solution for mitigating it," Energy, Elsevier, vol. 35(12), pages 5269-5276.
    18. Baldini, Mattia & Trivella, Alessio & Wente, Jordan William, 2018. "The impact of socioeconomic and behavioural factors for purchasing energy efficient household appliances: A case study for Denmark," Energy Policy, Elsevier, vol. 120(C), pages 503-513.
    19. Dominique Deprins & Léopold Simar, 1989. "Estimation de frontières déterministes avec facteurs exogénes d'inefficacité," Annals of Economics and Statistics, GENES, issue 14, pages 117-150.
    20. Andrew Leicester & George Stoye, 2017. "Factors Associated with the Presence of Domestic Energy Efficiency Measures in England," Fiscal Studies, Institute for Fiscal Studies, vol. 38, pages 331-356, June.
    21. Broadstock, David C. & Li, Jiajia & Zhang, Dayong, 2016. "Efficiency snakes and energy ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households," Energy Policy, Elsevier, vol. 91(C), pages 383-396.
    22. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    23. M. Danquah & B. Ouattara, 2014. "Productivity Growth, Human Capital And Distance To Frontier In Sub-Saharan Africa," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 39(4), pages 27-48, December.
    24. Lin, Boqiang & Du, Kerui, 2014. "Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy," Energy, Elsevier, vol. 76(C), pages 884-890.
    25. Quaglione, Davide & Cassetta, Ernesto & Crociata, Alessandro & Sarra, Alessandro, 2017. "Exploring additional determinants of energy-saving behaviour: The influence of individuals' participation in cultural activities," Energy Policy, Elsevier, vol. 108(C), pages 503-511.
    26. Yu, Yihua & Guo, Jin, 2016. "Identifying electricity-saving potential in rural China: Empirical evidence from a household survey," Energy Policy, Elsevier, vol. 94(C), pages 1-9.
    27. Mensah, Justice Tei & Marbuah, George & Amoah, Anthony, 2016. "Energy demand in Ghana: A disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 924-935.
    28. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
    29. Filippini, Massimo & Hunt, Lester C. & Zorić, Jelena, 2014. "Impact of energy policy instruments on the estimated level of underlying energy efficiency in the EU residential sector," Energy Policy, Elsevier, vol. 69(C), pages 73-81.
    30. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    31. Urge-Vorsatz, Diana & Hauff, Jochen, 2001. "Drivers of market transformation: analysis of the Hungarian lighting success story," Energy Policy, Elsevier, vol. 29(10), pages 801-810, August.
    32. Inglesi-Lotz, R. & Pouris, A., 2012. "Energy efficiency in South Africa: A decomposition exercise," Energy, Elsevier, vol. 42(1), pages 113-120.
    33. repec:adr:anecst:y:1989:i:14:p:06 is not listed on IDEAS
    34. Paresh Narayan & Russell Smyth, 2005. "Trade Liberalization and Economic Growth in Fiji. An Empirical Assessment Using the ARDL Approach," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 10(1), pages 96-115.
    35. Al-Bajjali, Saif Kayed & Shamayleh, Adel Yacoub, 2018. "Estimating the determinants of electricity consumption in Jordan," Energy, Elsevier, vol. 147(C), pages 1311-1320.
    36. Tiwari, Piyush, 2000. "Architectural, Demographic, and Economic Causes of Electricity Consumption in Bombay," Journal of Policy Modeling, Elsevier, vol. 22(1), pages 81-98, January.
    37. Philip Kofi Adom, 2011. "Electricity Consumption-Economic Growth Nexus: The Ghanaian Case," International Journal of Energy Economics and Policy, Econjournals, vol. 1(1), pages 18-31, June.
    38. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    39. Adom, Philip Kofi & Bekoe, William, 2012. "Conditional dynamic forecast of electrical energy consumption requirements in Ghana by 2020: A comparison of ARDL and PAM," Energy, Elsevier, vol. 44(1), pages 367-380.
    40. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    41. Nielsen, Lene, 1993. "How to get the birds in the bush into your hand : Results from a Danish research project on electricity savings," Energy Policy, Elsevier, vol. 21(11), pages 1133-1144, November.
    42. Zaman, Khalid & Khan, Muhammad M. & Ahmad, Mehboob & Rustam, Rabiah, 2012. "Determinants of electricity consumption function in Pakistan: Old wine in a new bottle," Energy Policy, Elsevier, vol. 50(C), pages 623-634.
    43. Sardianou, Eleni, 2007. "Estimating energy conservation patterns of Greek households," Energy Policy, Elsevier, vol. 35(7), pages 3778-3791, July.
    44. Zhou, Shaojie & Teng, Fei, 2013. "Estimation of urban residential electricity demand in China using household survey data," Energy Policy, Elsevier, vol. 61(C), pages 394-402.
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