Are Women Better Energy Managers in a Developing Country?
DOI:
https://doi.org/10.13052/spee1048-4236.39141Keywords:
Household energy management, energy saving, unseen labor, household appliances, energy consumptionAbstract
Energy Management at household level is multifaceted issue due to factors
involving gender, education and awareness to energy usage. This study was
conducted in Peshawar city, Pakistan which is capital city of the province
and densely populated. This study identifies the role of women in energy
management at household level keeping in view household’s characteristics
in an underdeveloped country. The key factors included were (1) education
and job status (2) characteristics of nuclear and joint family system (3)
energy consumption pattern of the households and (4) awareness of energy
management and its implementation amongst the females in the household.
One-way ANOVA test shows that women spend more than three hours while
utilizing energy appliances. In addition, awareness of high billing cost per
unit, electricity consumption during peak hours’ unit, idea of renewable
energy sources and their use cum awareness level was found to be extremely
low. The results show that the education of husband and wife is indistinguish-
able and the females are the major decision makers in carrying the household
chores. Males are the sole bread winners of the house and majority of the
females are housewives despite of attaining higher education. Despite the
fact that women are aware of household energy management, there is still a need for full implementation and awareness among women in the household.
Lastly, trend of nuclear family system is making pace in the Pakistan and
energy management and utility bills are handled independently. The results
can be used for policy making in developing countries.
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References
Wakeel, M., B. Chen, and S. Jahangir, Overview of energy portfolio in
Pakistan. Energy Procedia, 2016. 88: pp. 71–75.
Finance Division, E.A.s.W., Islamabad; 2005., Pakistan Economic Sur-
vey. 2017–2018.
Fu, Z. and J. Zhao, Impact of Quinoline on Activity and Microbial
Culture of Partial Nitrification Process. Bioresour. Technol., 2015. 197:
p. 113.
McKenna, R., et al., Analysing socioeconomic diversity and scaling
effects on residential electricity load profiles in the context of low carbon
technology uptake. Energy Policy, 2016. 97: pp. 13–26.
Lindsey, L.L., Gender roles. 2013: Pearson.
Administration, E.I. and E. Department, Annual energy outlook 2015:
With projections to 2040. 2015: Government Printing Office.
Bose, C.E., P.L. Bereano, and M. Malloy, Household technology and the
social construction of housework. Technology and Culture, 1984. 25(1):
pp. 53–82.
Permana, A.S., N.A. Aziz, and H.C. Siong, Is mom energy efficient?
A study of gender, household energy consumption and family deci-
sion making in Indonesia. Energy research & social science, 2015. 6:
pp. 78–86.
Elnakat, A. and J.D. Gomez, Energy engenderment: An industri-
alized perspective assessing the importance of engaging women in
Are Women Better Energy Managers in a Developing Country? 17
residential energy consumption management. Energy Policy, 2015. 82:
pp. 166–177.
Frederiks, E., K. Stenner, and E. Hobman, The socio-demographic
and psychological predictors of residential energy consumption: A
comprehensive review. Energies, 2015. 8(1): pp. 573–609.
He, Y., B. O’Flaherty, and R.A. Rosenheck, Is shared housing a way to
reduce homelessness? The effect of household arrangements on formerly
homeless people. Journal of Housing Economics, 2010. 19(1): pp. 1–12.
Groh, S., S. Pachauri, and N.D. Rao, What are we measuring? An
empirical analysis of household electricity access metrics in rural
Bangladesh. Energy for sustainable development, 2016. 30: pp. 21–31.
Wilk, R.R., House, home, and consumer decision making in two cul-
tures. ACR North American Advances, 1987.
Bhattacharya, S., .
Sovacool, B.K., Diversity: energy studies need social science. Nature
News, 2014. 511(7511): p. 529.
Ryan, S.E., Rethinking gender and identity in energy studies. Energy
Research & Social Science, 2014. 1: pp. 96–105.
Pamuk, A., Mapping global cities: GIS methods in urban analysis. 2006:
ESRI press.
Hyman, M.R. and J.J. Sierra, Adjusting self-reported attitudinal data
for mischievous respondents. International Journal of Market Research,
54(1): pp. 129–145.
Thøgersen, J., Housing-related lifestyle and energy saving: A multi-level
approach. Energy Policy, 2017. 102: pp. 73–87.
Bakewell, C. and V.-W. Mitchell, Male versus female consumer
decision making styles. Journal of business research, 2006. 59(12):
pp. 1297–1300.
Ironmonger, D., Household production and the household economy.
Malik, T.H., Housing finance in developing countries: a case study of
Lahore, Pakistan. 1994, University of Central England in Birmingham.
Yasar, A., et al., Economic review of different designs of biogas plants
at household level in Pakistan. Renew. Sust. Energ. Rev., 2017. 74:
pp. 221–229.
Wilson, C. and H. Dowlatabadi, Models of decision making and residen-
tial energy use. Annu. Rev. Environ. Resour., 2007. 32: pp. 169–203.
N. W. Qammar and Z. Ur Rehman Afridi
Yadvika, et al., Enhancement of biogas production from solid substrates
using different techniques – a review. Bioresour Technol, 2004. 95(1):
pp. 1–10.
Schulze, M., et al., Energy management in industry – a systematic review
of previous findings and an integrative conceptual framework. Journal of
Cleaner Production, 2016. 112: pp. 3692–3708.
Surendra, K.C., et al., Current status of renewable energy in Nepal:
Opportunities and challenges. Renew. Sust. Energ. Rev., 2011. 15(8):
pp. 4107–4117
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