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Impact of Information on Domestic water saving among urban households in Tanzania

Last registered on October 31, 2022

Pre-Trial

Trial Information

General Information

Title
Impact of Information on Domestic water saving among urban households in Tanzania: A case study of Dar es Salaam city.
RCT ID
AEARCTR-0010285
Initial registration date
October 27, 2022

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
October 31, 2022, 3:56 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Primary Investigator

Affiliation
UNIVERSITY OF CAPE TOWN

Other Primary Investigator(s)

PI Affiliation
UNIVERSITY OF CAPE TOWN
PI Affiliation
LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE

Additional Trial Information

Status
In development
Start date
2022-11-24
End date
2023-10-24
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Water is one of the most important natural resources in the world which supports human lives and other sectors in the economy. Its availability is scarce since it is finite and has multiple uses such as agricultural, industrial, construction, protection of the environment and household (Theodory & Ndunguru, 2013; Kjellen, 2006). Water is becoming scarce and many parts of the world experience poor quality water and the quantity is not sufficient especially at the domestic level where water usage keeps on increasing over time. According to the World Bank (2017), water scarcity has exerted pressure on many countries today and it affects more than 40% of the global population. It shows that in 2030, the demand for water will be higher compared to supply by 40% due to fast growing population and poor water management.
Water scarcity is more severe in urban areas in developing countries compared to developed countries (Theodory & Ndunguru, 2013). Estimates show that about 27% of the urban population in developing countries do not have access to safe water at home (Theodory & Ndunguru, 2013). Urban areas witnessed a sharp deterioration in access to water from 77.8 percent in 1991/92 to 58.6 percent in 2010 (Morisset & Wane, 2012). This is due to the reasons that majority of the population in developing countries have low income, experience fast growth in urban population, unplanned settlement and poor water management.
Tanzania is among countries experiencing water scarcity for households living in urban areas especially Dar es Salaam (Water Aid, 2008). The city is one of the biggest commercial areas with an increasing population that lacks access to clean water and continues to exert pressure on the water resource use (Mushi, 2013). The estimated population is around 4.3 million which grows at annual rate of 5.6 percent (National Bureau of Statistics [NBS], 2012). The total water production for the city is around 300,000 cubic meters a day while the demand is around 400,000 cubic meters a day (Smiley, 2016). This indicates that the water supply is not enough for the increasing population (Nobert & Skinner, 2016).
In 2020, Tanzania moved from low to middle income country. This has implication on the usage of resources including water. The ministry of water in Tanzania has estimated that most households will shift from using public tap to private taps which will eventually increase amount of water consumed ten times per capita per day (Ministry of Water [MoW], 2020). It was further estimated that water consumption per person per day for low, medium and high income is 70, 130 and 250 respectively which is huge amount for only one person. Further, Kjellen (2006) showed that households with piped water or households with high income use more liters per capita per day (400) compared to global per capita consumption per day which is around 200 liters. In other words, Kjellen (2006) indicated water consumption ranged from 22 liters per capita per day for those households using communal taps to 400 liters per day per capita for those high consuming households. With increasing population and fast urban growth, it’s important for policy makers to understand how to influence domestic water conservation given the fact that about 89% of water in Dar es Salaam is directed towards domestic use (Kjellen, 2006).
Information and education dissemination on natural resource management has recently become popular compared to traditional ways of management such as the use of economic incentives, command and control regulations (Katz et al., 2016). Economic and regulatory instruments that includes price, tariff and quantity restrictions to mention few, have been criticized on their limitations such as imposing regressive cost burdens, difficult to enforce, create public antagonism, limiting people’s free choice and encouraging free rider. On the other hand, information and education campaign create less public reactance, create a longer and deeper change in behavior and can be deployed quickly and cheaper to implement. For instance, study by Goette et al. (2019) showed high water users respond positively and more than low water users when social comparison information is provided compared to price.
In recent years randomized control trial have been widely used to test different program and interventions to nudge household behavior in the domain of household resources conservations. Among the interventions, included testing whether education campaign or norm-based message influenced household decision in water conservation. Atampugre (2014) mentioned that household decision in water conservation is also influenced by demographic, social and economic factors such as age, income, education etc., hence need to be taken into account.
Therefore, this study proposes to use randomized control trial to examine the influence of information on domestic water consumption in Dar es Salaam.
External Link(s)

Registration Citation

Citation
MUCHAPONDWA, EDWIN , ELIZABETH ROBINSON and JULIETH TIBANYWANA. 2022. "Impact of Information on Domestic water saving among urban households in Tanzania: A case study of Dar es Salaam city.." AEA RCT Registry. October 31. https://doi.org/10.1257/rct.10285-1.0
Sponsors & Partners

Sponsors

Experimental Details

Interventions

Intervention(s)
The experiment will involve sending monthly information to households for three months in short rain seasons when the temperature is high (November, December, January, and February) and in dry seasons (August, September, and October). Wards from Dar es Salaam will be randomly assigned into treatments and control groups. We will have one treatment and one control group. In the treatment group, households will receive information regarding their own water consumption for that month in a comparison with the median average neighborhood water consumption in the ward that the household is leaving. In addition, information will be given showing how they should save water like turning off taps while brushing teeth, soaping during the bath, and handwashing, etc. The control group will only continue to receive their normal monthly water bills without extra information.
Intervention (Hidden)
Intervention Start Date
2022-11-24
Intervention End Date
2023-10-24

Primary Outcomes

Primary Outcomes (end points)
The household average monthly water consumption.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
The household average monthly electricity consumption.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The targeted population for the study is high water users who are connected with the water authority. A total of 256,661 households are connected to water excluding inactive and disconnected customers. We use the median value to obtain high water users. Any household that is above the median water consumption will be considered a high user. Households with bulk meters such as flats and institutional apartments are treated as outliers and hence are not part of the study. To avoid spillover effects, randomization will be done at the cluster level. For this case, wards will be used as clusters. In Dar es Salaam, we have more than 50 wards, hence a minimum number of clusters is guaranteed.
To check for the orthogonality assumption, balance tests will be used. The variables that will be considered for balance tests include average monthly household water consumption, average daily water consumption per person, collection value prior baseline survey and household size, age, education and household income, after the baseline survey
Experimental Design Details
The main data source to be used for analysis will be obtained from the water authority (DAWASA) before and after the intervention. We will collect follow-up survey data from the water authority for a total of six months which also includes the intervention period (November 2022, December 2022, January 2023, February 2023, March 2023, and April 2023). If time allows, we will continue intervention in August, September, and October. Baseline data will be used as an addition to test the balance and use covariates in the regression framework to increase the precision of our estimates.
Randomization will be done at the ward level to minimize spillover effects among urban households, hence power calculation with clusters is used to detect the minimum impact and the minimum sample required for the study. According to Khandker et. al (2010), the minimum number of clusters is 30 per arm. Data from the water authority indicates there are more than 100 wards in total.
Randomization Method
Randomization will be done using STATA software in the office by computer. We have a list of all households connected to piped water from government water authority named DAWASA( Dar es Salaam Water and Sewerage Authority). The lists has variables like name of the household head, contact information, geographical location, monthly water consumption in cubic meters, billing and collection value to mention few.
Randomization Unit
Unit of analysis is the Household.
Randomization will be done at cluster levels (wards).
I
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
The planned number of clusters is 80 wards in Dar es Salaam city.
Sample size: planned number of observations
The planned number of observations is 900 households.
Sample size (or number of clusters) by treatment arms
We expect to have 40 wards as control group and 40 wards in treatment group.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We used a sample proportion of 0.6 for sample 1 and 0.7 for sample 2. We assumed a significance level of 5% and statistical power of 80% to be able to detect the impact. Given the average cluster size of 12, coefficient of variation of cluster size of 0.9, and intra-cluster correlation of 0.01, the total number of clusters was calculated to be 37 per arm. The minimum detectable impact for our main outcome variable is expected to be around 2 to 5% reduction in water consumption.
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
Faculty of Commerce, University of Cape Town, South Africa.
IRB Approval Date
2022-08-02
IRB Approval Number
REC 2022/08/002
IRB Name
University of Dar es Salaam, Tanzania.
IRB Approval Date
2022-07-12
IRB Approval Number
Ref.No.AB3/12(B)

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials