Behavioural response to policy instruments towards domestic water conservation

Guide(s)

Malghan, Deepak

Department

Public Policy

Area

Public Policy

University

Indian Institute of Management Bangalore

Place

Bangalore

Publication Date

3-31-2021

Year Awarded

March 2021

Year Completed

March 2021

Year Registered

June 2013

Abstract

Many cities around the world face acute water scarcity (Bates, Kundzewicz, and Wu 2008; World Bank 2016). Rapid urbanization and growth in population in many large cities has increased water scarcity while social inequities in access to water and pricing continue to prevail (McDonald et al. 2011; United Nations 2019, 97). Wealthy communities tend to be not only high-users of water but also recipients of low-priced water while the poorer communities often struggle to get enough water and pay a higher-price for it (Dale Whittington 1992; United Nations 2019). The challenges of water scarcity are particularly pronounced in the developing countries such as in India where per-capita water availability has declined rapidly over the last seven decades as population has grown, especially in cities (Narain and Pandey 2012; Shah 2016). The use of water conservation policy instruments can reduce demand to help match supply (Hoque 2014). The use of non-price and price tools have become popular policy choices towards conservation, especially in some of the industrialized West (Ferraro and Price 2013; Fielding et al. 2013; Brent, Cook, and Olsen 2015). The adoption of such tools is limited in developing countries as witnessed in the limited prevalence of metering and billing at household level (ADB 2007); without measurement for feedback, neither of these tools can be deployed effectively even though there is a large and growing part of population that receives 24x7 water supply. Even in the context of industrialized West where these tools are more popular, there are challenges of limited understanding of behaviour of household response (E. Frey and Rogers 2014). The response to an intervention is hard to predict with accuracy due to a variety of behavioural factors that affect response including diverse settings and priming from prior interventions.

Pagination

188p.

Copyright

Indian Institute of Management Bangalore

Document Type

Dissertation

DAC Chairperson

Malghan, Deepak

DAC Members

Ramesh, G; Mukherjee, Kanchan; Banerjee, Ritwik

Type of Degree

Ph.D.

Relation

DIS-IIMB-FPM-P21-22

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