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Effects of construction activities on residential electricity consumption: Evidence from Singapore's public housing estates

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  • Agarwal, Sumit
  • Satyanarain, Rengarajan
  • Sing, Tien Foo
  • Vollmer, Derek

Abstract

This study aims to empirically test the effects of negative environmental externalities (i.e. noise pollution) due to construction activities within half to one kilometer (km) radius and how households react to such externalities by increasing the use of air-conditioners to mitigate noise from the construction work. We use a unique dataset of electricity consumption by public housing residents in Singapore measured at the building level and merge it with the dataset of construction sites for the periods from 2009 to 2011. Using a difference-in-differences approach, we find that electricity consumption by the households living close to the construction sites increases by 6% compared to the households who are not affected by noises from construction sites during the construction periods, after controlling for building and month of the year fixed effects. The results remain robust after controlling for spatial autocorrelated lag and error terms. The economic cost of the construction externalities for each household amounts to approximately S$98 per annum. We also find that the increases in electricity consumption of the affected households were persistent, and the electricity consumption of the affected households did not revert to the pre-construction levels, after the removal of the negative externality.

Suggested Citation

  • Agarwal, Sumit & Satyanarain, Rengarajan & Sing, Tien Foo & Vollmer, Derek, 2016. "Effects of construction activities on residential electricity consumption: Evidence from Singapore's public housing estates," Energy Economics, Elsevier, vol. 55(C), pages 101-111.
    • Handle: RePEc:eee:eneeco:v:55:y:2016:i:c:p:101-111
    DOI: 10.1016/j.eneco.2016.01.010
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    as
    1. John M. Quigley, 1984. "The Production of Housing Services and the Derived Demand for Residential Energy," RAND Journal of Economics, The RAND Corporation, vol. 15(4), pages 555-567, Winter.
    2. Gilbert E. Metcalf & Kevin A. Hassett, 1999. "Measuring The Energy Savings From Home Improvement Investments: Evidence From Monthly Billing Data," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 516-528, August.
    3. Kahn, Matthew E., 2007. "Do greens drive Hummers or hybrids? Environmental ideology as a determinant of consumer choice," Journal of Environmental Economics and Management, Elsevier, vol. 54(2), pages 129-145, September.
    4. Dora L. Costa & Matthew E. Kahn, 2011. "Electricity Consumption and Durable Housing: Understanding Cohort Effects," American Economic Review, American Economic Association, vol. 101(3), pages 88-92, May.
    5. Joshua Graff Zivin & Matthew Neidell, 2012. "The Impact of Pollution on Worker Productivity," American Economic Review, American Economic Association, vol. 102(7), pages 3652-3673, December.
    6. Jeffrey A. Dubin & Allen K. Miedema & Ram V. Chandran, 1986. "Price Effects of Energy-Efficient Technologies: A Study of Residential Demand for Heating and Cooling," RAND Journal of Economics, The RAND Corporation, vol. 17(3), pages 310-325, Autumn.
    7. Quigley, John M & Rubinfeld, Daniel L, 1989. "Unobservables in Consumer Choice: Residential Energy and the Demand for Comfort," The Review of Economics and Statistics, MIT Press, vol. 71(3), pages 416-425, August.
    8. Ehrlich, Isaac & Becker, Gary S, 1972. "Market Insurance, Self-Insurance, and Self-Protection," Journal of Political Economy, University of Chicago Press, vol. 80(4), pages 623-648, July-Aug..
    9. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    10. Kamerschen, David R. & Porter, David V., 2004. "The demand for residential, industrial and total electricity, 1973-1998," Energy Economics, Elsevier, vol. 26(1), pages 87-100, January.
    11. Moral-Carcedo, Julian & Vicens-Otero, Jose, 2005. "Modelling the non-linear response of Spanish electricity demand to temperature variations," Energy Economics, Elsevier, vol. 27(3), pages 477-494, May.
    12. Millo, Giovanni & Piras, Gianfranco, 2012. "splm: Spatial Panel Data Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i01).
    13. Holtedahl, Pernille & Joutz, Frederick L., 2004. "Residential electricity demand in Taiwan," Energy Economics, Elsevier, vol. 26(2), pages 201-224, March.
    14. Ang, B.W. & Goh, T.N. & Liu, X.Q., 1992. "Residential electricity demand in Singapore," Energy, Elsevier, vol. 17(1), pages 37-46.
    15. Halvorsen, Robert, 1975. "Residential Demand for Electric Energy," The Review of Economics and Statistics, MIT Press, vol. 57(1), pages 12-18, February.
    16. Dora L. Costa & Matthew E. Kahn, 2010. "Why Has California's Residential Electricity Consumption Been So Flat since the 1980s?: A Microeconometric Approach," NBER Working Papers 15978, National Bureau of Economic Research, Inc.
    17. Luc Anselin & Daniel Arribas-Bel, 2013. "Spatial fixed effects and spatial dependence in a single cross-section," Papers in Regional Science, Wiley Blackwell, vol. 92(1), pages 3-17, March.
    18. Grant D. Jacobsen & Matthew J. Kotchen, 2013. "Are Building Codes Effective at Saving Energy? Evidence from Residential Billing Data in Florida," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 34-49, March.
    19. Justin Ross & Michael Farmer & Clifford Lipscomb, 2011. "Inconsistency in Welfare Inferences from Distance Variables in Hedonic Regressions," The Journal of Real Estate Finance and Economics, Springer, vol. 43(3), pages 385-400, October.
    20. Lee, Siew Eang & Rajagopalan, Priyadarsini, 2008. "Building energy efficiency labeling programme in Singapore," Energy Policy, Elsevier, vol. 36(10), pages 3982-3992, October.
    21. Peter C. Reiss & Matthew W. White, 2005. "Household Electricity Demand, Revisited," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 853-883.
    22. Peter F. Colwell, 1997. "Tender Mercies: Efficient and Equitable Land use Change," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 25(4), pages 525-537, December.
    23. Costa, Dora L. & Kahn, Matthew E., 2013. "Do liberal home owners consume less electricity? A test of the voluntary restraint hypothesis," Economics Letters, Elsevier, vol. 119(2), pages 210-212.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    2. Bon-Gang Hwang & Ming Shan & Helena Phua & Seokho Chi, 2017. "An Exploratory Analysis of Risks in Green Residential Building Construction Projects: The Case of Singapore," Sustainability, MDPI, vol. 9(7), pages 1-21, June.
    3. Bhati, Abhishek & Hansen, Michael & Chan, Ching Man, 2017. "Energy conservation through smart homes in a smart city: A lesson for Singapore households," Energy Policy, Elsevier, vol. 104(C), pages 230-239.
    4. Gimpel, Henner & Graf, Vanessa & Graf-Drasch, Valerie, 2020. "A comprehensive model for individuals’ acceptance of smart energy technology – A meta-analysis," Energy Policy, Elsevier, vol. 138(C).
    5. Agarwal, Sumit & Rengarajan, Satyanarain & Sing, Tien Foo & Yang, Yang, 2017. "Nudges from school children and electricity conservation: Evidence from the “Project Carbon Zero” campaign in Singapore," Energy Economics, Elsevier, vol. 61(C), pages 29-41.
    6. Hui Yun Rebecca Neo & Nyuk Hien Wong & Marcel Ignatius & Chao Yuan & Yong Xu & Kai Cao, 2023. "Spatial analysis of public residential housing's electricity consumption in relation to urban landscape and building characteristics: A case study in Singapore," Energy & Environment, , vol. 34(2), pages 233-254, March.
    7. Ornaghi, Carmine & Costanza, Enrico & Kittley-Davies, Jacob & Bourikas, Leonidas & Aragon, Victoria & James, Patrick A.B., 2018. "The effect of behavioural interventions on energy conservation in naturally ventilated offices," Energy Economics, Elsevier, vol. 74(C), pages 582-591.

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    More about this item

    Keywords

    Electricity Consumption; Negative Externalities; Construction Activities; Public Housing; Demand for Comfort;
    All these keywords.

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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