Title
Exploring a water data, evidence, and governance theory
Date Issued
01 August 2018
Access level
open access
Resource Type
review
Author(s)
Zogheib C.
Ochoa-Tocachi B.F.
Paul J.D.
Hannah D.M.
Clark J.
Imperial College London
Publisher(s)
Elsevier B.V.
Abstract
The hydrological evidence on which water resource management and broader governance decisions are based is often very limited. This issue is especially pronounced in lower- and middle-income countries, where not only data are scarce but where pressure on water resources is often already very high and increasing. Historically, several governance theories have been put forward to examine water resource management. One of the more influential is Elinor Ostrom's theory of common-pool resources. However while used very widely, the underlying principles of Ostrom's approach make pronounced implicit assumptions about the role of data and evidence in common-pool resource systems. We argue here this overlooks how power relations, user characteristics, system arrangements, and technological advances modulate fundamental associations between data, evidence, and governance, which we contend need to be considered explicitly. Examining the case of water allocations in Quito, Ecuador, we develop a set of concrete criteria to inform the ways in which Ostrom's principles can be applied in a data-scarce, institutionally complex, polycentric context. By highlighting the variable impact of data availability on subsequent evidence generation, these criteria have the potential to test the applicability of common assumptions about how to achieve water security in a developmental context, and hence offer the possibility of developing a more encompassing theory about the interactions between water data, evidence, and governance.
Start page
19
End page
25
Volume
May 4
Language
English
OCDE Knowledge area
Oceanografía, Hidrología, Recursos hídricos
Scopus EID
2-s2.0-85056849204
Source
Water Security
ISSN of the container
24683124
Sponsor(s)
We thank Sandra Torres from ATUK Strategic Consultancy and Escuela Politécnica Nacional de Quito, Ecuador, for developing Fig. 1 . CZ is funded by an Imperial College Skempton Scholarship and the Engineering and Physical Sciences Research Council (EPSRC; grant EP/L016826/1 ). BOT is funded by an Imperial College President’s PhD Scholarship and the “ Science and Solutions for a Changing Planet ” Doctoral Training Partnership (grant NE/L002515/1 ). JP, DMH, JRAC and WB acknowledge funding from the UK Natural Environment Research Council (NERC) and the Department for International Development (DFID) under project NE/P000452/1 (Landslide EVO) within the Science for Humanitarian Emergencies and Resilience (SHEAR) programme. Icons used in Fig. 2 were taken from www.flaticon.com. Lastly, we thank FONAG and Bert De Bièvre for support and data access during the case study.
Sources of information: Directorio de Producción Científica Scopus