Water conservation through plumbing and nudging

  • Allcott, H. & Greenstone, M. Is there an energy efficiency gap? J.Econ. Perspective. 263–28 (2012).

    Item

    Google Scholar

  • Gillingham, K., Keyes, A. & Palmer, K. Advances in the evaluation of energy efficiency policies and programs. Ann. Rev. Resour. Econ. ten511-532 (2018).

    Item

    Google Scholar

  • Graff Zivin, J. & Novan, K. Improving Efficiency and Behavior: Electricity Savings Through Residential Weatherization Programs. J energy. 371–23 (2016).

    Item

    Google Scholar

  • Allcott, H. & Greenstone, M. Measuring the well-being effects of residential energy efficiency programs Working Paper No. 23386 (NBER, 2017); https://doi.org/10.3386/w23386

  • Fowlie, M., Greenstone, M. and Wolfram, C. Do energy efficiency investments work? Evidence of Weatherization Assistance Program. QJ Eco. 1331597-1644 (2018).

    Item

    Google Scholar

  • Liang, J. et al. Do energy retrofits work? Evidence of commercial and residential buildings in Phoenix. J. About. Econ. Manage. 92726–743 (2018).

    Item

    Google Scholar

  • Davis, LW, Fuchs, A. & Gertler, P. Cash for Coolers: Evaluation of a Large Scale Appliance Replacement Program in Mexico. A m. Econ. J.Econ. Politics 6207-238 (2014).

    Item

    Google Scholar

  • Jacobsen, GD & Kotchen, MJ Are building codes effective in saving energy? Proof of Florida residential billing data. Rev. Econ. Statistical 9534–49 (2013).

    Item

    Google Scholar

  • Levinson, A. How Much Energy Do Building Energy Codes Save? Testimonials from California homes. A m. Econ. Tower. 1062867–2894 (2016).

    Item

    Google Scholar

  • Qiu, Y. & Kahn, ME Better sustainability assessment of green buildings with high frequency data. Nat. To support. 1642–649 (2018).

    Item

    Google Scholar

  • Novan, K., Smith, A. & Zhou, T. Residential Building Codes Save Energy: Evidence from Smart Meter Hourly Data. Rev. Econ. Statistical. https://doi.org/10.1162/rest_a_00967 (2020).

  • Kotchen, MJ Longer-term evidence on whether building energy codes reduce residential energy consumption. J. Assoc. About. Resour. Econ. 4135-153 (2017).

    Google Scholar

  • Mayer, PW, DeOreo, WB, Towler, E. & Lewis, DM Residential Indoor Water Conservation Study: Evaluation of High-Efficiency Indoor Plumbing Fixture Upgrades in Single-Family Homes in the East Bay Municipal Utility District Service Area, Aquacraft, Inc. Engineering and Water Management (2003).

  • Water-efficient plumbing fixtures reduce water usage and waste water flows (United States General Accounting Office, 2000); https://www.gao.gov/assets/rced-00-232.pdf

  • Residential end uses of water (Foundation for Water Research, 2016); https://www.circleofblue.org/wp-content/uploads/2016/04/WRF_REU2016.pdf

  • Price, JI, Chermak, JM & Felardo, J. Low-flow fixtures and household water demand: an evaluation of demand management policy in Albuquerque, New Mexico. J. About. Manage. 13337–44 (2014).

    Item

    Google Scholar

  • Bennear, LS, Lee, JM & Taylor, LO Municipal Rebate Programs for Environmental Retrofits: An Assessment of Additionality and Cost-Effectiveness. J. Anal Policy. Manage. 32350–372 (2013).

    Item

    Google Scholar

  • Allcott, H. Social Norms and Energy Conservation. J. Econ. public. 951082-1095 (2011).

    Item

    Google Scholar

  • Brent, DA, Cook, JH & Olsen, S. Social comparisons, household water use, and participation in utility conservation programs: evidence from three randomized trials. J. Assoc. About. Resour. Econ. 2597–627 (2015).

    Google Scholar

  • Jessoe, K., Lade, GE, Loge, F. & Spang, E. Impact of behavioral interventions: experimental evidence for water and energy use. J. Assoc. About. Resour. Econ. 8315–346 (2021).

    Google Scholar

  • Andor, MA & Fels, KM Behavioral economics and energy conservation – a systematic review of non-tariff interventions and their causal effects. School. Econ. 148178-210 (2018).

    Item

    Google Scholar

  • Ferraro, PJ, Miranda, JJ, and Price, MK The persistence of treatment effects with norm-based policy instruments: evidence from a randomized environmental policy experiment. A m. Econ. Tower. 101318–322 (2011).

    Item

    Google Scholar

  • Bernedo, M., Ferraro, PJ & Price, M. The persistent impacts of standards-based messages and their implications for water conservation. J.Consum. Politics 37437–452 (2014).

    Item

    Google Scholar

  • Ferraro, PJ & Price, MK Using non-monetary strategies to influence behavior: Evidence from large-scale field experience. Rev. Econ. Statistical 9564-73 (2013).

    Item

    Google Scholar

  • Allcott, H. & Rogers, T. The short- and long-term effects of behavioral interventions: experimental evidence for energy conservation. A m. Econ. Tower. 1043003–3037 (2014).

    Item

    Google Scholar

  • Newell, RG & Siikamäki, J. Energy efficiency behavior: the role of information labels. J. Assoc. About. Resour. Econ. 1555–598 (2014).

    Google Scholar

  • Gilbert, B. & Graff Zivin, J. Dynamic salience with intermittent billing: evidence from smart electricity meters. J.Econ. Organ Behavior. 107176–190 (2014).

    Item

    Google Scholar

  • Jessoe, K. & Rapson, D. Knowledge is (less) power: Experimental evidence from residential energy consumption. A m. Econ. Tower. 1041417-1438 (2014).

    Item

    Google Scholar

  • Wichman, CJ Information provision and consumer behavior: A natural experiment in billing frequency. J. Econ. public. 15213–33 (2017).

    Item

    Google Scholar

  • Costa, DL & Kahn, ME Energy conservation nudges and environmentalist ideology: Evidence from random experience in the field of residential electricity. J.Eur. Econ. Assoc. 11680–702 (2013).

    Item

    Google Scholar

  • Allcott, H. & Kessler, JB The welfare effects of nudges: a case study in social comparisons of energy use. A m. Econ. J.Appl. Econ. 11236-276 (2019).

    Item

    Google Scholar

  • Sunstein, CR The distributive effects of nudges. Nat. Hmm. Behviour. https://doi.org/10.1038/s41562-021-01236-z (2021).

  • Allcott, H. Site selection bias in program evaluation. QJ Eco. 1301117-1165 (2015).

    Item

    Google Scholar

  • Elbows that do not move. Nat. Hmm. Behviour. 4121 (2020).

  • sense of water (United States Environmental Protection Agency, 2021); https://www.epa.gov/watersense/watersense-products

  • Hanna, R., Duflo, E. & Greenstone, M. Up in smoke: the influence of household behavior on the long-term impact of improved cookstoves. A m. Econ. J.Econ. Politics 880-114 (2016).

    Item

    Google Scholar

  • Mideksa, TK & Kallbekken, S. The impact of climate change on the electricity market: a review. Energy policy 383579-3585 (2010).

    Item

    Google Scholar

  • Deschênes, O. & Greenstone, M. Climate Change, Mortality, and Adaptation: Evidence from Annual Fluctuations in United States Weather. A m. Econ. J.Appl. Econ. 3152–185 (2011).

    Item

    Google Scholar

  • Agarwal, S., Sing, TF & Yang, Y. The impact of transboundary haze pollution on household utility consumption. Energy saving. 85104591 (2020).

    Item

    Google Scholar

  • Schultz, PW, Nolan, JM, Cialdini, RB, Goldstein, NJ, and Griskevicius, V. The constructive, destructive, and reconstructive power of social norms. Psychol. Science. 18429–434 (2007).

    Item

    Google Scholar

  • Brent, DA et al. What are the causes of heterogeneous responses to comparative social messages for water conservation? About. Resour. Econ. 77503–537 (2020).

    Item

    Google Scholar

  • Agarwal, S., Rengarajan, S., Sing, TF & Yang, Y. Schoolchildren’s boosts and electricity conservation: evidence from the ‘Project Carbon Zero’ campaign in Singapore. Energy saving. 6129–41 (2017).

    Item

    Google Scholar

  • Abdul J. Gaspar