Saving Water

1983 ◽  
Vol 26 (4) ◽  
pp. 355-374 ◽  
Author(s):  
Lawrence C. Hamilton

The causes of household water conservation are studied using combined survey and billing-record data on 431 households in a community that recently experienced a severe water shortage. The largest reductions in water use, in absolute terms, occurred in households that had been using the most water to begin with. Smaller users often made larger percentage reductions. The most effective conservation steps involved voluntary changes in private behavior. Such steps were more likely to arise from idealistic than from economic motives, and were more common in larger, better-educated households. Idealistic motives themselves were more common in younger, better-educated, and more affluent households. In contrast, economic motives were more common in poorer, less well-educated households. Although income and education are important variables in the model, their direct and indirect effects nearly cancel each other out, so they are not good predictors of conservation. These findings have both practical and theoretical implications.

2008 ◽  
Vol 8 (3) ◽  
pp. 325-330 ◽  
Author(s):  
J. W. Cary

Programs for demand management have become critical following extended water shortage in Australia. Changing attitudes is a major element of water conservation programs. Information and education are likely to be necessary but not sufficient components of any program for behaviour change. A combination of factors is needed to promote water saving behaviour. Changing the behaviours of less responsive water users requires a better understanding of what shapes water conservation behaviours. Programs and conservation behaviour models need to take account of both ‘internal’ influences, such as attitudes and habits, and ‘external’ influences, such as the water delivery environment, pricing and social norms for water use.


2005 ◽  
Author(s):  
Dana M. Binder ◽  
Martin J. Bourgeois ◽  
Christine M. Shea Adams

2020 ◽  
Vol 35 (1) ◽  
Author(s):  
Willem Gravett

The development of artificial intelligence has the potential to transform lives and work practices, raise efficiency, savings and safety levels, and provide enhanced levels of services. However, the current trend towards developing smart and autonomous machines with the capacity to be trained and make decisions independently holds not only economic advantages, but also a variety of concerns regarding their direct and indirect effects on society as a whole. This article examines some of these concerns, specifically in the areas of privacy and autonomy, state surveillance, and bias and algorithmic transparency. It concludes with an analysis of the challenges that the legal system faces in regulating the burgeoning field of artificial intelligence.


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