We analyze the household energy use impacts of a large-scale, universally available, subsidized retrofit insulation and clean heat scheme. Theory shows that the energy-saving effects of such schemes are ambiguous. Our difference-in-differ-ence model of energy impacts resulting from each of insulation and clean heat treatment uses a sample of more than 12,000 treated houses. Retrofitted insulation treatment under the Warm Up New Zealand: Heat Smart program resulted in a statistically significant reduction in metered household energy consumption of almost 2%. Clean heat (heat pump) treatment resulted in increased electricity use but little change in total metered energy use other than at warmer temperatures, when heat pumps may have been used as air conditioners. Actual energy savings from insulation are approximately one-third of the modeled energy savings predicted by an engineering model.
BerkhoutP.MuskensJ.VelthuijsenJ. (2000). “Defining the Rebound Effect.” Energy Policy28: 425-432. http://dx.doi.org/10.1016/S0301-4215(00)00022-7.
2.
BrownM.BerryL.BalzerR.FabyE. (1993). National Impacts of the Weatherization Assistance Program in SingleFamily and Small Multifamily Dwellings. Oak Ridge, TN: Oak Ridge National Laboratory. http://dx.doi.org/10.2172/10179419.
3.
ChapmanR.Howden-ChapmanP.ViggersH.O’DeaD.KennedyM. (2009). “Retrofitting Houses with Insulation: A Cost-Benefit Analysis of a Randomised Community Trial.” Journal of Epidemiology and Community Health63:271277. http://dx.doi.org/10.1136/jech.2007.070037.
4.
ChongH. (2012). “Building Vintage and Electricity Use: Old Homes Use Less Electricity in Hot Weather.” European Economic Review56: 906-930. http://dx.doi.org/10.1016/j.euroecorev.2012.02.009.
5.
ClinchJ.HealyJ. (2000). “Cost-Benefit Analysis of Domestic Energy Efficiency.” Energy Policy29: 113-124. http://dx.doi.org/10.1016/S0301-4215(00)00110-5.
6.
DavisL.FuchsA.GertlerP. (2014). “Cash for Coolers: Evaluating a Large-scale Appliance Replacement Program in Mexico.” American Economic Journal: Economic Policy6: 207-238. http://dx.doi.org/10.1257/pol.6.4.207.
7.
EECA (2007). New Zealand Energy Efficiency and Conservation Strategy. Wellington: Energy Efficiency and Conservation Authority.
8.
EECA (2011a). Warm Up New Zealand: Heat Smart. Wellington: Energy Efficiency and Conservation Authority.
9.
EECA (2011b). Funding for Insulation and Clean Efficient Heating. Wellington: Energy Efficiency and Conservation Authority. Available at http://www.energywise.govt.nz/funding-available/insulation-and-clean-heating.Accessed10June2011.
10.
EEUD (2007). Energy End Use Database. 2007. Available at: http://www.eeca.govt.nz/energy-end-use-database.Accessed17October2011.
11.
FowlieM.GreenstoneM.WolframC. (2014). Do Energy Efficiency Investments Deliver? Evidence from the Weath-erization Assistance Program. Unpublished working paper.
12.
GillinghamK.KotchenM.RapsonD.WagnerG. (2013). “Energy Policy: The Rebound Effect is Overplayed.” Nature493: 475-476. http://dx.doi.org/10.1038/493475a.
13.
GillinghamK.RapsonD.WagnerG. (2014). The Rebound Effect and Energy Efficiency Policy. RFF DP 14-39. Washington DC: Resources for the Future.
14.
GrimesA.YoungC.ArnoldR.DenneT.Howden-ChapmanP.PrevalN.Telfar-BarnardL. (2011). Warming Up New Zealand: Impacts of the New Zealand Insulation Fund on Metered Household Energy Use. Report for Ministry of Economic Development. Available at: http://www.motu.org.nz/assets/Documents/our-work/urban-and-regional/housing/Warming-Up-New-Zealand-Impacts-of-the-New-Zealand-Insulation-Fund-on-Metered-Household-Energy-Use.pdf.Accessed1August2015.
15.
HongS.OreszczynT.RidleyI. (2006). “The Impact of Energy Efficient Refurbishment on the Space Heating Fuel Consumption in English Dwellings.” Energy and Buildings38: 1171-1181. http://dx.doi.org/10.1016/j.enbuild.2006.01.007.
16.
Howden-ChapmanP.CraneJ.MathesonA.ViggersH.CunninghamM.BlakelyT.O’DeaD.CunninghamC.WoodwardA.Saville-SmithK.BakerM.WaiparaN. (2005). “Retrofitting Houses with Insulation to Reduce Health Inequalities: Aims and Methods of a Clustered, Randomised Trial in Community Settings.” Social Science and Medicine61: 2600-2610. http://dx.doi.org/10.1016/j.socscimed.2005.04.049.
17.
Howden-ChapmanP.MathesonA.CraneJ.ViggersH.CunninghamM.BlakelyT.CunninghamC.WoodwardA.Saville-SmithK.O’DeaD.KennedyM.BakerM.WaiparaN.ChapmanR.DavieG. (2007). “Effect of Insulating Existing Houses on Health Inequality: Cluster, Randomised Study in the Community.” British Medical Journal334:460464. http://dx.doi.org/10.1136/bmj.39070.573032.80.
18.
Howden-ChapmanP.PierseN.NichollsS.Gillespie-BennettJ.ViggersH.CunninghamM.PhippsR.BoulicM.FjallstromP.FreeS. (2008). “Effects of Improved Home Heating on Asthma in Community Dwelling Children: Randomised Controlled Trial.” British Medical Journal337: 848-862. http://dx.doi.org/10.1136/bmj.a1411.
19.
Howden-ChapmanP.ViggersH.ChapmanR.O’DeaD.FreeS.O’SullivanK. (2009). “Warm Homes: Drivers of the Demand for Heating in the Residential Sector in New Zealand.” Energy Policy37: 3387-3399. http://dx.doi.org/10.1016/j.enpol.2008.12.023.
20.
ImbensG.WooldridgeJ. (2009). “Recent Developments in the Econometrics of Program Evaluation.” Journal of Economic Literature47: 5-86. http://dx.doi.org/10.1257/jel.47.L5.
21.
IsaacsN.CamilleriM.FrenchL.PollardA.Saville-SmithK.FraserR.RossouwP.JowettJ. (2006). Energy Use in New Zealand Households: Report on the Year 10 Analysis for the Household Energy End-use Project (HEEP). BRANZ Study Report 155. Judgeford, Porirua: BRANZ.
22.
JacobsenG.KotchenM. (2013). “Are Building Codes Effective at Saving Energy? Evidence from Residential Billing Data in Florida.” Review of Economics and Statistics95: 34-49. http://dx.doi.org/10.1162/REST_a_00243.
23.
JaffeA.StavinsR. (1995). “Dynamic Incentives and Environmental Regulations: The Effects of Alternative Policy Instruments on Technological Diffusion.” Journal of Environmental Economics and Management29: S43-S63. http://dx.doi.org/10.1006/jeem.1995.1060.
24.
LevinsonA. (2014a). “California Energy Efficiency: Lessons for the Rest of the World, or Not?” Journal of Economic Behavior and Organization107: 269-289. http://dx.doi.org/10.1016/j.jebo.2014.04.014.
25.
LevinsonA. (2014b). How Much Energy do Building Energy Codes Really Save? Evidence from California. NBER Working Paper 20797. Cambridge, MA:: National Bureau of Economic Research.
26.
LloydC.CallauM.BishopT.SmithI. (2008). “The Efficacy of an Energy Efficient Upgrade Program in New Zealand.” Energy and Buildings40: 1228-1239. http://dx.doi.org/10.1016/j.enbuild.2007.11.006.
27.
MilneG.BoardmanB. (2000). “Making Cold Homes Warmer: The Effect of Energy Efficiency Improvements in Low-income Homes.” Energy Policy28: 411-424. http://dx.doi.org/10.1016/S0301-4215(00)00019-7.
28.
Orion Ltd (2004). Effects of Improved Insulation on Peak Period Demand. Christchurch: Orion Ltd.
29.
Orion Ltd (2009). Impact of Environment Canterbury’s Clean Heat Project on Christchurch Electricity Use. Christchurch: Orion Ltd.
30.
PhillipsY.ScarpaR. (2010). Waikato Warm Home Study. Paper presented at the New Zealand Agricultural and Resource Economics Society Conference, August 26-27, 2010, Nelson, New Zealand. Available at http://purl.umn.edu/96494.Accessed11July2011.
31.
PrevalN. (2015). Statistical and Policy Analysis of Large-scale Public Health Interventions. PhD Thesis, University of Otago, Dunedin.
32.
PrevalN.ChapmanR.PierseN.Howden-ChapmanP.The Housing Heating and Health Group (2010). “Evaluating Energy, Health and Carbon Co-benefits from Improved Domestic Space Heating: A Randomised Community Trial Energy Policy 38: 3955-3972.Schweitzer, M. (2005). Estimating the National Effects of the US Department of Energy’s Weatherization Assistance Program with State-level Data: A Metaevaluation Using Studies from 1993 to 2005. ORNL/CON-493. Washington, DC: US Department of Energy. http://dx.doi.org/10.1016/j.enpol.2010.03.020.
33.
SchweitzerM.BerryL. (1999). Metaevaluation of National Weatherization Assistance Program Based on State Studies, 1996-1998. Oak Ridge, TN: Oak Ridge National Laboratory. http://dx.doi.org/10.2172/9037.
34.
SorrellS.DimitropoulosJ.SommervilleM. (2009). “Empirical Estimates of the Direct Rebound Effect: A Review.” Energy Policy37: 1356-1371. http://dx.doi.org/10.1016/j.enpol.2008.11.026.
35.
Telfar-BarnardL.PrevalN.Howden-ChapmanP.ArnoldR.YoungC.GrimesA.DenneT. (2011). The Impact of Retrofitted Insulation and New Heaters on Health Services Utilisation and Costs, Pharmaceutical Costs and Mortality: Evaluation of Warm Up New Zealand: Heat Smart. Report for MED. Available at: http://www.motu.org.nz/assets/Documents/our-work/urban-and-regional/housing/The-Impact-of-Retrofitted-Insulation-and-New-Heaters-on-Health-Services-Utilisation-and-Costs-Pharmaceutical-Costs-and-Mortality-Evaluation-of-Warm-Up-New-Zealand-Heat-Smart.pdf.Accessed1August2013.
36.
TommerupH.SvendsenS. (2006). “Energy Savings in Danish Residential Building Stock.” Energy and Buildings38: 618-626. http://dx.doi.org/10.1016/j.enbuild.2005.08.017.
37.
TonnB.RoseE.SchmoyerR.EisenbergJ.TernesM.SchweitzerM.HendrickT. (2011). Evaluation of the National Weatherization Assistance Program During Program Years 2009-2011 (American Reinvestment and Recovery Act Period). ORNL/TM-2011/87. Oak Ridge, TN: Oak Ridge National Laboratory. http://dx.doi.org/10.2172/1223632.
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