The effects of social norms on motivation crowding: experimental evidence from the Tibetan Plateau

A growing literature examines conditions under which financial incentives for behavior change can undermine "crowd out" or reinforce ("crowd in") other sources of motivation for the behavior in question. Some of this literature points to a potential role of social norms, but it has not attempted to quantify that role. We present an interdisciplinary model from economics and communication science that measures the effects of financial incentives on social norms and their joint effects on behavior, including after incentives have ended. In a framed field experiment with Tibetan herders in Qinghai, China, we find that a temporary payment for participation in a patrol against illegal wildlife trapping reinforces a perceived injunctive norm that this conservation behavior meets with social approval. This norm remains heightened even after the payment has ended, continuing to positively influence the decision to participate in anti-trapping patrols in the experiment. This finding suggests that, under certain circumstances, a carefully framed incentive for conservation behavior can support injunctive norms in favor of conservation behavior.USDA National Institute of Food and Agriculture, Hatch project [MICL02244, MICL02173, MICL02362]; National Science Foundation [SMA-1328503]This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Predicting Land Use Voting Behavior: Expanding Our Understanding Of The Influence Of Attitudes And Social Norms

Voting to tax oneself in the current economic climate seems improbable. Framed in theories of normative influence and behavior change, this study tests the factors that predict voting for a county-level millage (i.e., tax) to fund land preservation. Behavioral beliefs that contribute to people\u27s attitudes toward the millage are identified and a model is tested with an expanded normative component. Results indicate that attitudes and subjective norms significantly predict voting intentions, and injunctive norms (i.e., people\u27s perceptions of others\u27 approval of taking an action) add significantly to the model\u27s predictive power. Findings are reinforced by election results in which the millage proposal passed and can contribute to the applied literature by identifying social-psychological factors that can be targeted with campaign messages. © 2013 Wiley Periodicals, Inc

Long-Term Effects of Payments for Environmental Services: Combining Insights from Communication and Economics

Interdisciplinary analytical perspectives can bring important insights to address complex sustainability problems. In this paper we present and apply a model that integrates perspectives from economics and communication sciences to address the question of what happens to pro-environmental behavior after the introduction and then the withdrawal of payment for environmental services (PES). In particular, we discuss the effects of financial incentives on social norms and the effects of norms on subsequent behavior after incentives have ended. This is important because the dominant literature on PES lacks a sophisticated understanding of social norms and fails to address what will happen to behavior once payments end. That literature addresses the potential problem that payments can crowd out or possibly crowd in intrinsic sources of motivation for pro-social behavior, but it lacks the sophisticated understanding of social norms that has the potential to help explain and address this phenomenon. We summarize experimental evidence based on our model showing that introducing a financial incentive for behavior change can change social norms around that behavior. These norms, in turn, can continue to influence behavior even after incentives have ended. PES programs can address this situation by actively evoking existing social norms in favor of conservation

Mission, Organization, and Future Direction of the Serological Sciences Network for COVID-19 (SeroNet) Epidemiologic Cohort Studies.

BackgroundGlobal efforts are needed to elucidate the epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the underlying cause of coronavirus disease 2019 (COVID-19), including seroprevalence, risk factors, and long-term sequelae, as well as immune responses after vaccination across populations and the social dimensions of prevention and treatment strategies.MethodsIn the United States, the National Cancer Institute in partnership with the National Institute of Allergy and Infectious Diseases, established the SARS-CoV-2 Serological Sciences Network (SeroNet) as the nation's largest coordinated effort to study coronavirus disease 2019. The network comprises multidisciplinary researchers bridging gaps and fostering collaborations among immunologists, epidemiologists, virologists, clinicians and clinical laboratories, social and behavioral scientists, policymakers, data scientists, and community members. In total, 49 institutions form the SeroNet consortium to study individuals with cancer, autoimmune disease, inflammatory bowel diseases, cardiovascular diseases, human immunodeficiency virus, transplant recipients, as well as otherwise healthy pregnant women, children, college students, and high-risk occupational workers (including healthcare workers and first responders).ResultsSeveral studies focus on underrepresented populations, including ethnic minorities and rural communities. To support integrative data analyses across SeroNet studies, efforts are underway to define common data elements for standardized serology measurements, cellular and molecular assays, self-reported data, treatment, and clinical outcomes.ConclusionsIn this paper, we discuss the overarching framework for SeroNet epidemiology studies, critical research questions under investigation, and data accessibility for the worldwide scientific community. Lessons learned will help inform preparedness and responsiveness to future emerging diseases