Pronita Saxena Humanities and Social Science
Technology Buy-In: Gaps between the Ability to Pay and the Willingness to Adopt Point-of-Use (POU) Water Treatment Technology
Anecdotal evidence suggests an information gap isn’t the sole propagator of preventable water-borne diseases in urban slums: behavior change is multivariate. Through household surveys, I wish to understand how financial decision-making structures and other socio-economic factors condition the likelihood that a particular household will or won’t treat its water. To challenge the idea that with limited income, spending is allocated first to some universal standard of basic needs and then to “unessential” goods, I am also recording current technology investments (such as televisions, radios, etc.) within households to reconfigure “affordability” and more accurately estimate payment for point-of-use filters. By identifying the determinants of demand for water treatment technology, I hope to fuel more effective policy and sustainable technological interventions as we attempt to bring safe drinking water to 1.2 billion people across the world.