Policymakers increasingly use norm-based messages to promote conservation efforts. Despite the apparent success of such strategies, empirical analyses have thus far focused exclusively on short-run effects. From a policy perspective, however, whether and how such strategies influence behavior in the long-run is of equal interest. We partner with a metropolitan water utility to implement a natural field experiment examining the effect of such messages on longer-run patterns of water use. Empirical results are striking. While appeals to pro-social preferences affect short-run patterns of water use, only messages augmented with social comparisons have a lasting impact on water demand.

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of the Inter-American Development Bank, its Board of Directors, or the countries they represent. Terms of use: Documents inThe unauthorized commercial use of Bank documents is prohibited and may be punishable under the Bank's policies and/or applicable laws. Copyright ©Inter-American Development Bank. This working paper may be reproduced for any non-commercial purpose. It may also be reproduced in any academic journal indexed by the American Economic Association's EconLit, with previous consent by the Inter-American Development Bank (IDB), provided that the IDB is credited and that the author(s) receive no income from the publication. and even less about the relationship between these effects. This paper assesses whether "winwin" scenarios are possible-that is, whether protected areas can both stem forest cover change and alleviate poverty. We examine protected areas in the Peruvian Amazon using high-resolution satellite images and household-level survey data for the early 2000s. To control for protected areas' nonrandom siting, we rely on quasi-experimental (matching) methods. We find that the average protected area reduces forest cover change. We do not find a robust effect on local communities. Protected areas that allow sustainable extractive activities are more effective in reducing forest cover change but less effective in delivering win-win outcomes.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of the Inter-American Development Bank, its Board of Directors, or the countries they represent. Terms of use: Documents inThe unauthorized commercial use of Bank documents is prohibited and may be punishable under the Bank's policies and/or applicable laws. Copyright ©Inter-American Development Bank. This working paper may be reproduced for any non-commercial purpose. It may also be reproduced in any academic journal indexed by the American Economic Association's EconLit, with previous consent by the Inter-American Development Bank (IDB), provided that the IDB is credited and that the author(s) receive no income from the publication. and even less about the relationship between these effects. This paper assesses whether "winwin" scenarios are possible-that is, whether protected areas can both stem forest cover change and alleviate poverty. We examine protected areas in the Peruvian Amazon using high-resolution satellite images and household-level survey data for the early 2000s. To control for protected areas' nonrandom siting, we rely on quasi-experimental (matching) methods. We find that the average protected area reduces forest cover change. We do not find a robust effect on local communities. Protected areas that allow sustainable extractive activities are more effective in reducing forest cover change but less effective in delivering win-win outcomes.