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The Effect of Non-pecuniary-based Incentive Mechanisms to Reduce Water Usage at the Household Level and to Achieve Positive Environmental Outcomes

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  • Jhumur Sengupta

Abstract

There has been a sixfold increase in global water use over the twentieth century. The study answers the question, ‘how can scarce water be saved in an efficient manner?’ The current study uses the non-pecuniary incentive, ‘neighbourhood comparison’, as a tool for giving signals to water users. This study stresses on the negative linkage between water usage by households and ‘neighbourhood comparison’ in the Indian context. The field survey of this study considers household-level data related to water usage. In the present study, it is revealed that ‘neighbourhood comparison’ message causes significant reductions in water consumption per capita.

Suggested Citation

  • Jhumur Sengupta, 2020. "The Effect of Non-pecuniary-based Incentive Mechanisms to Reduce Water Usage at the Household Level and to Achieve Positive Environmental Outcomes," Global Business Review, International Management Institute, vol. 21(5), pages 1232-1248, October.
  • Handle: RePEc:sae:globus:v:21:y:2020:i:5:p:1232-1248
    DOI: 10.1177/0972150919857013
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    References listed on IDEAS

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    1. Ferraro, Paul J. & Miranda, Juan José, 2013. "Heterogeneous treatment effects and mechanisms in information-based environmental policies: Evidence from a large-scale field experiment," Resource and Energy Economics, Elsevier, vol. 35(3), pages 356-379.
    2. Lucas W. Davis, 2011. "Evaluating the Slow Adoption of Energy Efficient Investments: Are Renters Less Likely to Have Energy Efficient Appliances?," NBER Chapters, in: The Design and Implementation of US Climate Policy, pages 301-316, National Bureau of Economic Research, Inc.
    3. Mansur, Erin T. & Olmstead, Sheila M., 2012. "The value of scarce water: Measuring the inefficiency of municipal regulations," Journal of Urban Economics, Elsevier, vol. 71(3), pages 332-346.
    4. Dora L. Costa & Matthew E. Kahn, 2013. "Energy Conservation “Nudges” And Environmentalist Ideology: Evidence From A Randomized Residential Electricity Field Experiment," Journal of the European Economic Association, European Economic Association, vol. 11(3), pages 680-702, June.
    5. Ian Ayres & Sophie Raseman & Alice Shih, 2009. "Evidence from Two Large Field Experiments that Peer Comparison Feedback Can Reduce Residential Energy Usage," NBER Working Papers 15386, National Bureau of Economic Research, Inc.
    6. Paul J. Ferraro & Michael K. Price, 2013. "Using Nonpecuniary Strategies to Influence Behavior: Evidence from a Large-Scale Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 64-73, March.
    7. Mohammed Aminu Sualihu & M. Arifur Rahman, 2014. "Payment Behaviour of Electricity Consumers: Evidence from the Greater Accra Region of Ghana," Global Business Review, International Management Institute, vol. 15(3), pages 477-492, September.
    8. Muhammad Shahbaz & Faridul Islam & Muhammad Sabihuddin Butt, 2016. "Finance–Growth–Energy Nexus and the Role of Agriculture and Modern Sectors: Evidence from ARDL Bounds Test Approach to Cointegration in Pakistan," Global Business Review, International Management Institute, vol. 17(5), pages 1037-1059, October.
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