Choice experiment for repairing rural waterpoints 2013-2014

Hope, Rob and Ballon, Paola (2019). Choice experiment for repairing rural waterpoints 2013-2014. [Data Collection]. Colchester, Essex: UK Data Service. 10.5255/UKDA-SN-853912

There is a more recent version of this item available.

Improved understanding of groundwater risks and institutional responses against competing growth and development goals is central to accelerating and sustaining Africa's development. Africa's groundwater systems are a critical but poorly understood socio-ecological system. Explosive urban growth, irrigated agricultural expansion, industrial pollution, untapped mineral wealth, rural neglect and environmental risks often converge to increase the complexity and urgency of governance challenges across Africa's groundwater systems. These Africa-wide opportunities and trade-offs are reflected in Kenya where the government's unifying Vision 2030 aims to double the irrigated agricultural area whilst simultaneously promoting the growth of high-value mineral resources. Institutional capacity to govern interactions between economic activities, water resource demands and poverty outcomes are currently constrained by insufficient knowledge and lack of effective management tools. The overarching project aim is to design, test and transfer a novel, interdisciplinary and replicable Groundwater Risk Management tool to improve governance transformations to balance economic growth, groundwater sustainability and human development trade-offs.

Data description (abstract)

This record contains water service preference data collected from 1,560 households in Kwale county on the south coast of Kenya. A sample of 531 handpump locations was used as a sampling frame for a household survey administered in late 2013 and early 2014. 3,500 households took part in this survey of which a random draw of 1,560 households were selected to take part in a choice experiment on water service preferences. Choices included (1) maintenance service provider (public, private), (2) guaranteed days for repairs (2, 4, 6, 8), (3) cash management (treasurer/cash, bank account, mobile money), (4) monthly household payment (USD 0.5, 1.0, 1.5, 2.0). An orthogonal, main effects design generated 10 choice cards, each with two alternatives and a status quo option eliciting 10 choice responses. Participating households could also select a status quo option reflecting community maintenance and the local payment arrangements (commonly cash). The data is presented as prepared for a conditional logit model estimating the main attributes followed by interactions across four hypotheses of behavioural change: (a) multidimensional wealth, (b) education, (c) sex of respondent, and (d) household concerns. The read-me file describes steps required for estimation of the econometric latent class model specified by a discrete distribution of preferences to estimate heterogeneity.

Data creators:

Creator Name	Affiliation	ORCID (as URL)
Hope Rob	Smith School of Enterprise and the Environment, University of Oxford	https://orcid.org/0000-0001-9971-9397
Ballon Paola	Smith School of Enterprise and the Environment	https://orcid.org/0000-0002-0373-171X

Contributors:

Name	Affiliation	ORCID (as URL)
Foster Tim	Institute for Sustainable Futures, University of Technology Sydney	https://orcid.org/0000-0003-1738-3450
Goodall Susie	University of Loughborough	https://orcid.org/0000-0002-4142-8383
Katuva Jacob	Smith School of Enterprise and the Environment, University of Oxford	https://orcid.org/0000-0003-4351-4637
Koehler Johanna	Smith School of Enterprise and the Environment, University of Oxford	https://orcid.org/0000-0002-9045-4844
Thomson Patrick	Smith School of Enterprise and the Environment, University of Oxford	https://orcid.org/0000-0002-0697-1866
Thomas Mike	Smith School of Enterprise and the Environment, University of Oxford