Voluntary Reduction Research Articles

Design of a Digital Platform for Carbon Generalized System of Preferences Communities Based on the TAO Model of Three-Way Decisions

The increasing carbon dioxide emissions from human activities present a significant global concern, with approximately two-thirds of greenhouse gas emissions attributed to household activities. The Carbon Generalized System of Preferences (CGSP) has emerged as a pivotal mechanism to incentivize voluntary carbon reduction in community households. This paper examines the development of a community digital management platform designed to incentivize voluntary carbon reduction at the community level, highlighting the critical role of reducing emissions in urban community life to meet carbon peak and neutrality targets. This study employs the TAO model of Three-Way Decision to establish a closed-loop operational framework for the CGSP digital platform. The platform features a Trisection mechanism to record and quantify low-carbon behaviors, an Action mechanism to classify and reward community members, and an Outcome mechanism to assess overall community carbon reduction achievements. Additionally, a user interface tailored for community users is developed to enhance platform accessibility. The proposed platform presents a practical and innovative solution for exploring emission reduction potential in urban communities. By systematically recording low-carbon behaviors, providing targeted rewards, and conducting comprehensive assessments, the platform aims to guide community residents in adopting sustainable practices. This study offers a valuable reference for the digital transformation, intelligent system construction, and development of new urban functional units within communities.

Corporate responses to systemic risk: Talk and action

Using text-mining analyses, we find that firms are more concerned about systemic shocks, leading to a subsequent decrease in systemic risk exposure. This finding is robust to endogeneity using the entropy balance, instrumental variable, and quasi-natural experiment tests. A tighter regulatory environment and increased risk aversion are primary reasons for aligning firms’ slogans with their actions, i.e., reducing expenses and increasing cash holdings, to mitigate systemic risk exposure. Importantly, these risk-mitigating strategies produce positive outcomes, including increased earnings and decreased bankruptcy risk for firms. Results suggest regulators can cultivate voluntary reductions in systemic risk by increasing firms’ awareness.

Consumer protection and firm valuation: A study of overdraft protection and US banks

This study investigates the impact of regulatory and voluntary overdraft protection (ODP) reductions on bank valuations. Using event study methodology and cross-sectional regression analysis, we find that banks have significantly positive cumulative abnormal returns (CAR) as a result of regulatory ODP reductions. The CAR is higher for banks with higher reliance on ODP income. The positive valuation effect diminishes for larger and well-capitalized banks. For voluntary ODP reductions, the valuation effect is negative, and more pronounced among highly profitable banks. The valuation decrease is attenuated for banks with higher capital ratios, and higher betas. These findings highlight the nuanced financial implications of consumer protection activities on bank valuation.

A Diet Containing Animal Source Protein as Fresh, Lean Beef Is More Well Liked and Promotes Healthier Eating Behavior Compared with Plant-Based Alternatives in Women with Overweight

BackgroundDespite limited evidence from intervention trials, replacing animal-source protein-rich foods with plant alternatives continues to be recommended as part of a healthy dietary pattern. ObjectivesThe objective of this study was to examine whether a diet containing fresh, lean beef elicits greater satiety, reduces ad libitum food intake, and is more acceptable compared with a diet containing plant alternatives in women with overweight. MethodsSeventeen women with overweight (mean ± SEM, age: 33 ± 1 y; BMI: 27.8 ± 0.1 kg/m2) completed an acute, tightly controlled, crossover design study. Participants were provided with eucaloric, isonitrogenous diets (15% of daily intake as protein) containing either 2 servings/d of fresh lean beef (BEEF) or plant equivalents (PLANT) for 7 d/pattern. During day 6 of each pattern, the participants completed a 10-h controlled-feeding, clinical testing day, which included repeated appetite and satiety questionnaires and blood sampling to assess pre- and postprandial plasma peptide YY (PYY) and GLP-1 across the day. On day 7, the participants completed a free-living testing day in which they consumed their respective protein foods and were provided with additional carbohydrate- and fat-rich foods to consume, ad libitum, during each eating occasion. Energy and macronutrient composition were assessed. A 2- to 3-wk washout period occurred between patterns. ResultsNo differences in daily satiety were detected between patterns. During the ad libitum testing day, 24-h food intake was not different between patterns (BEEF: 2714 ± 219 compared with PLANT: 2859 ± 147 kcals/d), BEEF led to fewer carbohydrates consumed compared with PLANT (338 ± 34 compared with 370 ± 22 g/d, P < 0.05), especially as sugar (169 ± 73 g compared with 186 ± 57 g, P = 0.05). Furthermore, BEEF was more well liked (i.e., higher flavor, texture, and acceptability) compared with PLANT (all, P < 0.05). ConclusionsAlthough satiety was similar between patterns, the consumption of animal-source protein-rich foods, such as fresh and lean beef, was more well liked and resulted in voluntary reductions in total carbohydrate and sugar intake in middle-aged women with overweight during a single ad libitum testing day.This study was registered at clinicaltrials.gov as NCT02614729.

Unraveling the temporal interplay of slow-paced breathing and prefrontal transcranial direct current stimulation on cardiac indices of autonomic activity.

The neurovisceral integration model proposes that information flows bidirectionally between the brain and the heart via the vagus nerve, indexed by vagally mediated heart rate variability (vmHRV). Voluntary reduction in breathing rate (slow-paced breathing, SPB, 5.5 Breathing Per Minute (BPM)) can enhance vmHRV. Additionally, prefrontal transcranial direct current stimulation (tDCS) can modulate the excitability of the prefrontal region and influence the vagus nerve. However, research on the combination of SPB and prefrontal tDCS to increase vmHRV and other cardiac (heart rate (HR) and blood pressure) and peripheral (skin conductance) indices is scarce. We hypothesized that the combination of 20 min of SPB and prefrontal tDCS would have a greater effect than each intervention in isolation. Hence, 200 participants were divided into four groups: active tDCS with SPB, active tDCS with 15 BPM breathing, sham tDCS with SPB, and sham tDCS with 15 BPM breathing. Regardless of the tDCS condition, the 5.5 BPM group showed a significant increase in vmHRV over 20 minutes and significant decreases in HR at the first and second 5-min epochs of the intervention. Regardless of breathing condition, the active tDCS group exhibited higher HR at the fourth 5-min epoch of the intervention than the sham tDCS group. No other effects were observed. Overall, SPB is a robust technique for increasing vmHRV, whereas prefrontal tDCS may produce effects that counteract those of SPB. More research is necessary to test whether and how SPB and neuromodulation approaches can be combined to improve cardiac vagal tone.

Outsourcing and authorized remanufacturing under voluntary emission reduction mechanism

Outsourcing and authorized remanufacturing under voluntary emission reduction mechanism

Outcomes of sugar reduction policies, United Kingdom of Great Britain and Northern Ireland.

Poor diets are the major cause of death and disease globally, driving high levels of obesity and noncommunicable diseases. Cheap, heavily marketed, ultra-processed, energy-dense and nutrient-poor food and drinks that are high in fat, sugar and salt play a major role. The high-sugar content of these products leads to consumption levels much higher than recommended. The World Health Organization recommends that sugar intake should be reduced to just 5% of energy intake by using fiscal policies and food and drink reformulation strategies. Over the previous decade, the government of the United Kingdom of Great Britain and Northern Ireland has implemented several policies aimed at reducing sugar intake. We compare the soft drinks industry levy and the sugar reduction programme, examining how differences in policy design and process may have influenced the outcomes. Success has been mixed: the mandatory levy achieved a reduction in total sugar sales of 34.3%, and the voluntary reduction programme only achieved a 3.5% reduction in sugar levels of key contributors to sugar intake (despite a target of 20%). Both policies can be improved to enhance their impact, for example, by increasing the levy and reducing the sugar content threshold in the soft drinks industry levy, and by setting more stringent subcategory specific targets in the sugar reduction programme. We also recommend that policy-makers should consider applying a similar levy to other discretionary products that are key contributors to sugar intake. Both approaches provide valuable learnings for future policy in the United Kingdom and globally.

Optimization method for renewable energy investment planning in the electricity carbon coupling market environment considering economy

China is developing rapidly in renewable energy development, electricity market reform, and carbon market construction, using market mechanisms for efficient planning and investment. The electricity and carbon markets are interrelated for market entities. This context has led to a dual-level optimization model for renewable energy investment planning, considering cost recovery and new power system goals. The model includes deriving electricity carbon coupling quotations for conventional units based on dynamic carbon emission characteristics and proposing an electricity spot market mechanism influenced by carbon quota trading. The model’s upper level maximizes renewable energy investment capacity, determining its size and location, while the lower level simulates electricity spot and voluntary emission reduction market trading to guide investment decisions. The model transformed into a mixed integer linear programming problem for optimal solutions was validated numerically, examining various factors affecting optimal renewable energy investment capacity.

Review of “1st Liveable Futures Report: Food of Mass Destruction: How Exploiting Animals Drives Us to Extinction"

This report, compiled by Jaime del Val, Reverso/Metabody Institute, in 2023, synthesises over 100 previous reports by United Nations, governmental commissions and high profile scientific commissions that state that animal based food is the major source of climate change, biodiversity loss, human health problems, human inequality and animal suffering. The report coins the acronym “AEFI” (Animal Exploitation Food Industries) for highlighting the central, present and historical role of this industry in the crisis, and pushes for a renewal of global legal frameworks that recognise the rights of all life forms as condition of possibility for a liveable future for humans themselves, while exposing the interconnection of the core role of shifting diets away from animal products with a voluntary reduction of overconsumption and overpopulation.

Performance and perceived fatigability across the intensity spectrum: role of muscle mass during cycling.

The role of muscle mass in modulating performance and perceived fatigability across the entire intensity spectrum during cycling remains unexplored. We hypothesized that at task failure (Tlim), muscle contractile function would decline more following single- (SL) versus double-leg (DL) cycling within severe and extreme intensities, but not moderate and heavy intensities. After DL and SL ramp-incremental tests, on separate days, 11 recreationally active males (V̇o2max: 49.5 ± 7.7 mL·kg-1·min-1) completed SL and DL cycling until Tlim within each intensity domain. Power output for SL trials was set at 60% of the corresponding DL trial. Before and immediately after Tlim, participants performed an isometric maximal voluntary contraction (MVC) coupled with one superimposed and three resting femoral nerve stimulations [100 Hz; 10 Hz; single twitch (Qtw)] to measure performance fatigability. Perceived fatigue, leg pain, dyspnea, and effort were collected during trials. Tlim within each intensity domain was not different between SL and DL (all P > 0.05). MVC declined more for SL versus DL following heavy- (-42 ± 16% vs. -30 ± 18%; P = 0.011) and severe-intensity cycling (-41 ± 12% vs. -31 ± 15%; P = 0.036). Similarly, peak Qtw force declined more for SL following heavy- (-31 ± 12% vs. -22 ± 10%; P = 0.007) and severe-intensity cycling (-49 ± 13% vs. -40 ± 7%; P = 0.048). Except for heavy intensity, voluntary activation reductions were similar between modes. Similarly, except for dyspnea, which was lower for SL versus DL across all domains, ratings of fatigue, pain, and effort were similar at Tlim between exercise modes. Thus, the amount of muscle mass modulates the extent of contractile function impairment in an intensity-dependent manner.NEW & NOTEWORTHY We investigated the modulatory role of muscle mass on performance and perceived fatigability across the entire intensity spectrum. Despite similar time-to-task failure, single-leg cycling resulted in greater impairments in muscle contractile function within the heavy- and severe-intensity domains, but not the moderate- and extreme-intensity domains. Perceived fatigue, pain, and effort were similar between cycling modes. This indicates that the modulatory role of muscle mass on the extent of performance fatigability is intensity domain-dependent.

Adolescent activity-based anorexia has a substantial and prolonged impact on social behavior in young adult female rats

Activity-based anorexia (ABA) is a rodent model of anorexia nervosa (AN) that induces several key components of AN, including voluntary reduction in food intake, reduced body weight, hyperactivity, and alterations to the hypothalamic-pituitary-adrenal (HPA) axis. Previous research has demonstrated persistently increased anxiety-like behavior in the elevated plus maze (EPM), a test measuring avoidance of novel and open areas in adult female rats that experienced ABA during adolescence and are weight-restored in adulthood. Whether the same behavioral effects of two bouts of adolescent ABA emerge in response to different anxiety-provoking stimuli, however, has not been explored. We used the social partition (SP), novelty suppressed feeding (NSF), marble burying, and EPM tests to explore whether two bouts of adolescent ABA have persistent effects on anxiety-like behavior in weight restored young adult female rats. One-way ANOVA analyses revealed that female rats that experienced two bouts of ABA during adolescence had increased anxiety-like behavior in the EPM and SP tests in young adulthood following weight restoration compared with controls. These data demonstrate that the enduring behavioral effects of two bouts of adolescent ABA are specific to particular anxiety-provoking stimuli and suggest that adolescent ABA has enduring effects on social relationships.

Construction and Influencing Factors of Voluntary Compensation Subjects for Herders—From the Perspective of Sustainable Utilization of Grassland Resources

The grassland ecological compensation mechanism is a basic guarantee for promoting the sustainable utilization of grassland resources, and the reasonable determination of the compensation subject is the basic premise for the effective operation of the grassland ecological compensation mechanism. At present, grassland ecological compensation is mainly based on government compensation, and the compensation method generally adopted is financial transfer payment with a single source of compensation funds. Therefore, establishing diversified compensation entities is of great significance in expanding the sources of compensation funds. As important users of grassland resources, herders should become the main representatives of grassland ecological compensation according to the principle of “whoever uses, pays”. In this study, based on survey data with respect to pastoral areas in Inner Mongolia, we used a multivariate ordered logistic regression model to empirically analyze the factors influencing the establishment of a voluntary compensation entity for herders. The results of this study showed that (1) the resource endowment factors of the respondents, including livestock inventory, grazing area, and cutting grassland area, have a significant positive impact on the willingness of herdsmen to voluntarily serve as the main representatives of grassland ecological compensation. When each influencing factor increased by one unit, the probability of voluntarily becoming a compensation subject increased by 3.5%, 1.91%, and 1.41%, respectively. (2) The factor of prohibited pasture area in the endowment of herders had a significant negative effect on their willingness to become compensation subjects, which indicates that the larger the prohibited pasture area owned by herders, the lower their grassland utilization rate and the lower their willingness to voluntarily become compensation subjects. (3) Among the cognitive factors of the respondents, “whether they will continue to support the implementation of the grassland compensation policy” had a positive promoting effect on herdsmen voluntarily becoming compensation subjects, showing that the higher the support of herdsmen for the ecological compensation system, the more willing they were to become compensation subjects. This article is based on the perspective of the sustainable utilization of grassland resources and empirically analyzes the influencing factors of herders’ willingness to reduce their number of livestock. Through the voluntary reduction of livestock by herders, a voluntary compensation entity for herders is constructed. Based on the research conclusions, relevant countermeasures and suggestions are proposed, providing a reference for improving grassland ecological compensation policies and promoting the sustainable utilization of grassland resources.

Does China's carbon inclusion policy promote household carbon emissions reduction? Theoretical mechanisms and empirical evidence

China's carbon inclusion policy (CIP) is an innovative voluntary emission reduction mechanism that aims to drive consumption-side emission reductions and achieve dual carbon goals. However, the effectiveness of the policy has not yet been assessed. To fill this research gap, this study evaluated the impact of CIP on urban household carbon emissions based on panel data from 283 cities in China from 2006 to 2020. This was conducted using staggered difference-in-differences (DID), synthetic DID, and spatial DID methods. The results showed that the CIP significantly reduced household carbon emissions through the green consumption awareness enhancing effect and green supply capacity improving effect. Heterogeneity tests indicated that carbon reduction effects are stronger in electricity and gas consumption and relatively modest in the heating and transportation domains. Cities with higher financial technology levels and greater government intervention had better policy outcomes. CIP also exhibited spatial spillover effects on household carbon emissions and synergistically reduced air pollution. Despite incurring certain economic costs, it ultimately promoted regional economic growth. This study can provide theoretical and empirical evidence for China to promote CIP and achieve its dual carbon goals.

Integration of Prior Expectations and Suppression of Prediction Errors During Expectancy-Induced Pain Modulation: The Influence of Anxiety and Pleasantness.

Pain perception arises from the integration of prior expectations with sensory information. Although recent work has demonstrated that treatment expectancy effects (e.g., placebo hypoalgesia) can be explained by a Bayesian integration framework incorporating the precision level of expectations and sensory inputs, the key factor modulating this integration in stimulus expectancy-induced pain modulation remains unclear. In a stimulus expectancy paradigm combining emotion regulation in healthy male and female adults, we found that participants' voluntary reduction in anticipatory anxiety and pleasantness monotonically reduced the magnitude of pain modulation by negative and positive expectations, respectively, indicating a role of emotion. For both types of expectations, Bayesian model comparisons confirmed that an integration model using the respective emotion of expectations and sensory inputs explained stimulus expectancy effects on pain better than using their respective precision. For negative expectations, the role of anxiety is further supported by our fMRI findings that (1) functional coupling within anxiety-processing brain regions (amygdala and anterior cingulate) reflected the integration of expectations with sensory inputs and (2) anxiety appeared to impair the updating of expectations via suppressed prediction error signals in the anterior cingulate, thus perpetuating negative expectancy effects. Regarding positive expectations, their integration with sensory inputs relied on the functional coupling within brain structures processing positive emotion and inhibiting threat responding (medial orbitofrontal cortex and hippocampus). In summary, different from treatment expectancy, pain modulation by stimulus expectancy emanates from emotion-modulated integration of beliefs with sensory evidence and inadequate belief updating.

Comparing the ambition of EU companies with science-based targets to EU regulation-imposed reductions

Companies can support governments in bridging the emissions gap between current policies and the Paris goals by adhering to voluntary greenhouse gas (GHG) emission reduction targets that align with or surpass those implied by domestic policies. To this end, we assessed the potential impact of EU companies that set targets through the Science Based Targets Initiative (SBTi) in 2020 relative to an EU reference policies scenario that represents the estimated impact of the ETS and ESR policy instruments applicable at that time, with the aim of achieving a 40% reduction relative to 1990 by 2030. Two scenarios were assessed that incorporate the SBTi targets under these instruments: one assuming no additional reductions in the ETS sector due to the waterbed effect, and one with flanking measures to ensure additional emissions reductions regulated by ETS are materialised. Depending on the assumption made about these flanking measures, EU companies with SBTi-approved targets are projected to achieve a 4% or 14% reduction by 2030 compared to the EU 2020 policies scenario. Our findings illustrate that companies with SBTi-approved targets in 2020 were at most in line or modestly more ambitious than the 40% reduction target. This study highlights that voluntary reductions from SBTi companies regulated by ETS display higher estimated reductions than those solely regulated by ESR. Furthermore, this analysis indicates that more policy details are crucial for assessing the potential additional reduction of voluntary targets, and additional reductions under ETS should be assumed zero if a conservative estimate is required.

The unequal effects of trade and automation across local labor markets

We quantify the joint impact of the China shock and automation of labor, across US commuting zones (CZs) in the period 2000–2007. To this end, we employ a multi-sector gravity model of trade with Roy-Fréchet worker heterogeneity across sectors, where labor input can be automated. Automation and increased import competition from China are both sector-specific; they lead to contractions in a sector’s labor demand and a decline in relative income for CZs more specialized in that sector, amplified by a voluntary reduction in hours worked and an increase in frictional unemployment. The estimated model fits well with the aggregate performance of manufacturing subsectors and with the variation across CZs in changes in average income, the hourly wage, hours worked, the employment rate and employment in manufacturing. By itself, the China shock has stronger distributional effects than automation, but its impact on aggregate gains is less than a third of automation’s impact.

Does the Capital Market Value Carbon Emission Reductions? Evidence from China

ABSTRACT: An increasing number of Chinese companies are strengthening their commitment to corporate social responsibility (CSR) by reporting their carbon emission reductions. Research suggests that such voluntary environmental disclosures can reduce information asymmetry, decrease the cost of capital, and thus enhance firm value. However, a significant research gap exists because this evidence mainly derives from developed countries, with limited consideration given to emerging countries, where the capital market often lacks robust informational content. To fill this research gap, we endeavor to explore the firm-value effects of the disclosures and the magnitude of carbon reduction in China, the largest emerging market. By manually collecting data on carbon emission reductions from the CSR reports of Chinese listed companies from 2008 to 2013, we employ the balance sheet valuation model and ordinary least squares regression to investigate the firm-value effects of the disclosures and the magnitude of carbon emission reductions. The empirical results show that firm value is positively associated with not only voluntary carbon emission reduction disclosures, but also the magnitude of carbon emission reductions. In our sample, for every additional ton of carbon emission reduction, firm value increases by approximately 340 yuan (equivalent to 44 euros or 52 US dollars). We also find that the firm-value effects of carbon emission reductions are more pronounced in high-pollution industries than those in low-pollution industries. Further channel tests reveal that on average, agency problems, as measured by selling, general, and administrative expenses, are lower in firms that disclose carbon emission reduction information than those that do not. In addition, firms with carbon emission reduction disclosures can obtain more green subsidies than those without such disclosures. To mitigate climate risk, firms should proactively engage in carbon emission reductions, which can potentially receive a positive recognition from the capital market. Our study also provides valuable insights for regulators in terms of establishing and enhancing carbon accounting standards to encourage corporate involvement in carbon reductions.

Évolution du taux d’épisiotomies et des lésions obstétricales du sphincter de l’anus depuis les recommandations de 2018

ObjectivesThere is a progressive reduction in the rate of episiotomies since the recommendations of the French college of gynaecologists. Our objective was to study the evolution of the rate of episiotomies and Obstetric Anus Sphincter Injury (OASI) since the restriction of episiotomies in our department. MethodsObservational monocentric retrospective study performed at the Rouen University Hospital. The inclusion criteria were monofetal pregnancies, delivery at a term greater than or equal to 37 weeks of amenorrhea of a living, viable child and by cephalic presentation. We compared two periods corresponding to before and after the 2018 recommendations. We used logistic regression modelling to identify factors associated with the risk of episiotomies and of obstetrical anal injuries, overall and in case of instrumental delivery. ResultsWe included 3329 patients for the 1st period and 3492 for the 2nd period, and the rate of instrumental deliveries were respectively of 16.4% (n=547) and 17.9% (n=626). Multivariate analysis showed a significant decrease in the rate of episiotomies in the 2nd period (OR 0.14, CI 95% [0.12; 0.16], P<0.0001). Main factors associated with the risk of OASI were primiparity (OR 6.21, CI 95% [3.19; 12.11]) and the use of forceps (OR 4.23, CI 95% [2.17; 8.27]) overall; and instrumental delivery using forceps (OR 3.25, CI 95% [1.69; 6.22]) and delivery during the 2nd period (OR 1.98, CI 95% [1.01; 3.88]) in case of instrumental delivery. ConclusionsOur study confirms that the voluntary reduction in the episiotomy rate does not seem to be associated with an increased risk of OASI, overall and in case of instrumental delivery. However, we show an increase in the rate of OASI in case of instrumental delivery since the latest recommendations.

How individuals make sense of their climate impacts in the capitalocene: mixed methods insights from calculating carbon footprints

Many people want to play their part to tackle climate change, but often do not know where to start. Carbon Footprint (CF) Calculators pose potential for helping individuals situate themselves in climate impacting systems of which they are a part. However, little is currently known about whether and how individuals who complete CF calculators understand their CF in the context of climate change. This article explores how people make sense of their CFs and locate themselves in the capitalocene. It draws on theories of social practices, environmental ethics, valuation, and knowledge-use to analyse data from 500+ Danes who completed a CF calculator (https://carbonfootprint.hi.is) and interviews with 30 Danes who were asked to complete the CF calculator. In this article, we describe how Danes’ CFs are impacted, looking at how survey respondents rate importance of mitigating climate change, importance of personal actions, and importance of public steering, as well as disposable income, living space, and family type. We also show how interviewees reflect over their consumption activities and possibilities. Those with high income nearly always had high CF but felt like they had little agency to change the system and rather justified their high-emitting practices such as flying, while those with low CF felt they had more agency in the system. The results show that high-CF individuals resist voluntary reduction of their emissions despite the presence of environmental ethics. Thus, we conclude that systemic solutions have the foremost capacity to reduce carbon emissions.

Unraveling the role of adapting risk perception during the COVID-19 pandemic in Europe

During the COVID-19 pandemic, the behavioral response to reported case numbers changed drastically over time. While a few dozen cases were enough to trigger government-induced and voluntary contact reduction in early 2020, less than a year later much higher case numbers were required to induce behavioral change. Little attention has been paid to understand and mathematically model this effect of decreasing risk perception over longer time-scales. Here, first we show that weighing the number of cases with a time-varying factor of the form ta,a<0 explains real-world mobility patterns from several European countries during 2020 when introduced into a very simple behavior model. Subsequently, we couple our behavior model with an SIR epidemic model. Remarkably, decreasing risk perception can produce complex dynamics, including multiple waves of infection. We find two regimes for the total number of infected individuals that are explained by the interplay of initial attention and the rate of attention decrease. Our results show that including adaption into non-equilibrium models is necessary to understand behavior change over long time scales and the emergence of non-trivial infection dynamics.