Behavioral Insights for Development: Cases From Central America 2017
DOI: 10.1596/978-1-4648-1120-3_ch1
|View full text |Cite
|
Sign up to set email alerts
|

A Behavioral Approach to Water Conservation: Evidence from Costa Rica

Abstract: The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Ba… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
22
0

Year Published

2018
2018
2019
2019

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 13 publications
(22 citation statements)
references
References 8 publications
0
22
0
Order By: Relevance
“…Findings have been similar in the water demand management literature, where usage feedback is usually either mail-based (Aitken et al, 1994;Brick et al, 2018;Datta et al, 2015;Ferraro et al, 2011;Ferraro and Price, 2013;Geller et al, 1983;Kurz et al, 2005), or provided by smart water meters (Booysen et al, 2019b;Erickson et al, 2012;Fielding et al, 2013;Liu et al, 2016;Petersen et al, 2007). Mail-based usage feedback is often provided through the existing utility bill infrastructure, thus minimising intervention costs (Sønderlund et al, 2014).…”
Section: Water Usage Behaviourmentioning
confidence: 56%
See 2 more Smart Citations
“…Findings have been similar in the water demand management literature, where usage feedback is usually either mail-based (Aitken et al, 1994;Brick et al, 2018;Datta et al, 2015;Ferraro et al, 2011;Ferraro and Price, 2013;Geller et al, 1983;Kurz et al, 2005), or provided by smart water meters (Booysen et al, 2019b;Erickson et al, 2012;Fielding et al, 2013;Liu et al, 2016;Petersen et al, 2007). Mail-based usage feedback is often provided through the existing utility bill infrastructure, thus minimising intervention costs (Sønderlund et al, 2014).…”
Section: Water Usage Behaviourmentioning
confidence: 56%
“…Interestingly, they found that the effect on households that received a prosocial norm appeal dissipated within a year, but the effect on the social comparison group was still detectable five years after intervention (Bernedo et al, 2014;Ferraro et al, 2011). Similarly, Datta et al (2015) found that a neighbourhood-wide social comparison in Belén, Costa Rica, reduced water use by between 3.7% and 5.6% over two months. However, a social comparison at municipal level did not influence behaviour.…”
Section: Water Usage Behaviourmentioning
confidence: 97%
See 1 more Smart Citation
“…Accurate water usage data is essential for building water demand models that can generate reliable water usage estimates to be used for planning by utilities companies (Bakker et al, 2013;Ferraro and Price, 2013;Ghiassi et al, 2008). Although past studies have utilised several data sources, for example, municipal data, they are known for being inaccurate and unreliable (Datta et al, 2015;Ferraro and Price, 2013). Another data source frequently employed is smart water meters (Fielding et al, 2012;Gurung et al, 2014;Liu et al, 2016).…”
Section: Data Collectionmentioning
confidence: 99%
“…There has been a substantial amount of research dedicated to urban water demand management, which is particularly essential in developing countries as they often suffer from high rates of urbanisation. The majority of existing research on urban water demand management have focused on the residential sector, for example, demand forecasting (Adamowski et al, 2012;Bougadis et al, 2005;Donkor et al, 2012;Ghiassi et al, 2017;Ren and Li, 2016), demand modelling (Gurung et al, 2014;Jacobs and Haarhoff, 2004), general demand management (Kenney et al, 2008), and water usage management interventions (Datta et al, 2015;Dernoncourt and Lee, 2016;Fielding et al, 2012). There is limited research on the water demand in the non-residential or educational sectors despite the fact that these sectors can be high water consumers (Sánchez-Torija et al, 2017).…”
Section: Introductionmentioning
confidence: 99%