Mitigation Costs Research Articles

Data-driven cost-optimal energy management of postal-delivery fuel cell electric vehicle with intelligent dual-loop battery state-of-charge planner

Fuel cell electric vehicles have earned substantial attentions in recent decades due to their high-efficiency and zero-emission features, while the high operating costs remain the major barrier towards their large-scale commercialization. In such context, this paper aims to devise an energy management strategy for an urban postal-delivery fuel cell electric vehicle for operating cost mitigation. First, a data-driven dual-loop spatial-domain battery state-of-charge reference estimator is designed to guide battery energy depletion, which is trained by real-world driving data collected in postal delivery missions. Then, a fuzzy C-means clustering enhanced Markov speed predictor is utilized to project the upcoming velocity. Lastly, combining the state-of-charge reference and the forecasted speed, a model predictive control-based cost-optimization energy management strategy is established to mitigate vehicle operating costs imposed by energy consumption and power-source degradations. Validation results have shown that 1) the proposed strategy could mitigate the operating cost by 4.43 % and 7.30 % in average versus benchmark strategies, denoting its superiority in term of cost-reduction and 2) the computation burden per step of the proposed strategy is averaged at 0.123 ms, less than the sampling time interval 1s, proving its potential of real-time applications.

Molten Carbonate Transformation of the Green House Gas CO2 to Graphitic Nanomaterials

CO2 is a highly stable molecule. This stability had been considered an insurmountable barrier to Its transformative removal from its role as a greenhouse case. The C2CNT® (CO2 To Carbon Nanomaterial Technology) process breaks through this barrier by using an energetic (high temperature), carbon rich (molten carbonate), transition metal nucleated environment, electrolytically splitting of CO2 to graphitic carbon nanomaterials (and O2). Built from the same fundamental graphene structure as graphite, which has a geologic lifetime, these nanocarbons can permanently bind the transformed CO2 to mitigate global warming. Their value arises from the properties of graphene such as high strength and conductivity, solid lubrication, electronic and catalytic activity tuned by distinctive 0D, 1D and 2D morphologies.The value of these nano graphitic carbons arises from the unique properties of graphene such as exceptional strength, high conductivity, solid lubrication, electronic and catalytic activity as modified by their distinctive 0D, 1D and 2D shapes. These nanocarbons are useful in a range of applications in the carbon fiber, polymer, electronic, medical, transportation, steel, cement and power sectors.The C2CNT® technology received the 2021 Carbon XPRIZE XFactor award for producing the most valuable product from CO2. and builds out the C2CNT technology into a Genesis Device® CCUS (Carbon Capture, Utilization and Storage) plant. A Genesis Device® CCUS demonstration plant has been built at the in Calgary, and a large-scale Genesis Device® CCUS plant, the GC3 project, is scheduled in Edmonton, producing 7,500 tonnes of carbon nanotubes transforming the CO2 emission at the Genessee power plant. Some of the 30 C2CNT® related publications are presented at: https://carboncorp.org/climate-change-solutionThese publications include:“STEP generation of energetic molecules: A solar chemical process to end anthropogenic global warming” Licht, J. Phys. Chem, C, 113, 16283, 2009. "Efficient Solar-Driven Synthesis, Carbon Capture, and Desalinization, STEP: Solar Thermal Electrochemical Production of Fuels, Metals, Bleach" Licht, Advanced Materials,47, 5592 (2011).The discovery of the electrochemical nucleated growth of graphitic nanocarbons in:"One-pot synthesis of carbon nanofibers from CO2",Ren, Li, Lau, Urbina, LichtNano Letters, 15, 6142, 2015.CO2 isotopic tracking to the electrolytic splitting products: “Tracking airborne CO2 mitigation and low cost transformation into valuable carbon nanotubes,” Ren, Licht,Scientific Reports,6, 27760-1, 2016."Carbon Nanotube Wools Made Directly from CO2 By Molten Electrolysis: Value Driven Pathways to Carbon Dioxide Greenhouse Gas Mitigation," Materials Today Energy, Johnson, Ren, Lefler, Licht, Vicini, Liu, Licht, 5, 230,2017.“Recent Advances in Solar Thermal Electrochemical Process (STEP) for Carbon Neutral Products & High Value Nanocarbons,” Ren, Yu, Peng, Lefler, Li, Licht, Accounts of Chemical Research, 52, 3177(2019).“Amplified CO2 greenhouse gas removal with C2CNT carbon nanotube-material composites”,Licht, Xinye, Licht, Wang, Swesi, Chan, Materials Today Sustainability, 6, 100023(2019). Wang, Sharif, Liu, Licht, Lefler, Licht,“Magnetic carbon nanotubes: Carbide nucleated electrochemical growth of ferromagnetic CNTs from CO2,” Wang, Sharif, Liu, Licht, Lefler, Licht, Journal of CO2 Utilization, 40, 101282020.“The green synthesis of exceptional braided, helical carbon nanotubes and nanospiral platelets made directly from CO2,” Liu, Licht, Licht, Materials Today Chemistry , 22, 100529 (2021).Figure top: SEM of nanocarbon allotropes. Top row (from left to right): conical CNF, nano-bamboo, nano-pearl, Ni coated CNT, nano-flower, nano-dragon. Middle row: nano-rod, nano-belt, nano-onion, hollow nano-onion, and nano-tree. Bottom row carbon nanotube, nano-scaffold, nano-platelet, graphene, nano-helices. From: Control of the electrochemical conditions tuning C2CNT® to selectively produce 17 unusual nanocarbons is described in: “Controlled Growth of Unusual Nanocarbon Allotropes by Molten Electrolysis of CO2”, Liu, Licht, Wang, Licht, Catalysts, 12, 125, 2022:Figure Bottom: TEM and HAADF of high purity, high yield carbon nanotubes synthesized by electrolytic splitting of CO2 in 770°C Li2CO3. TEM; scale bars left to right top: 20 nm & 1 nm. 2nd row 100, 5, 5 & 1 nm. 3rd row 100 or 50 nm. Bottom row 20, 1 & 1 nm. From “Controlled Transition Metal Nucleated Growth of Carbon Nanotubes by Molten Electrolysis of CO2”, Liu, Licht, Wang, Licht, Catalysts, 12, 137, 2022: Figure 1

Catalyst Layer Structure Properties and Electrode Performance with the Addition of Polyethylene Glycol

Reducing the platinum loading in Proton Exchange Membrane Fuel Cells to mitigation costs is of topical interest. Lowering the Pt content beyond critical thresholds has a direct impact on the kinetic conversion efficiency of O2, and result in local oxygen transport resistance in the catalyst layer at high current densities. Improvements in the Pt use efficiency can be achieved by affecting the catalyst layer structure properties with improved Pt dispersion and increased ionomer interface1-3.In this study, we are investigating how the structure properties of the catalyst layer are affected by the addition of polyethylene glycol (PEG) during the ink step. PEG has a high boiling point (>200°C) and is known to have pore forming properties4. It has also been reported to extend the reach of the ionomer and its resulting protonic connectivity. Increasing the porosity in the catalyst layer can increase the triple phase boundaries and reduce interfacial resistances 5.Membrane electrode assemblies (MEAs) have been made with inks containing increasing wt.% PEG. The resulting inks were coated onto membranes to form catalyst layers containing 0.2 mgPt/cm2. The addition of PEG affected the binding of the ionomer and the catalyst, which will likely affect the packing of the agglomerates in the resulting catalyst layer structure. The catalyst layer thickness, surface area and porosity were determined. The coated substrates were assembled into single cells for electrochemical evaluation. The resulting MEAs showed that the inclusion of PEG reduced the kinetic losses at low current density due to improved electronic connectivity between the catalyst and the ionomer. Overall, the performance increased by ≈30mV at 1A/cm2.However, PEG content higher than 3% resulted in a significant decrease in performance in the high current density region. This is due to a higher packing density and therefore higher mass transport resistance with higher PEG content.The inclusion of PEG into the catalyst ink reduced the amount of flammable organic content and improved the MEA performance especially at low current density. Catalyst layer deposition was smoother with reduced cracking. Ultimately, the ambitions for low loading MEAs can be achieved by optimising the structure performance properties in the catalyst layer. PEG is considered a viable candidate for performance enhancement for low loading MEAs, yet a number of practical obstacles were experienced and require some optimization.

The effect of industrial robot adoption on firm value: Evidence from China

This study examines the effect of automated production technology on firm value. Examining evidence from listed Chinese manufacturing companies from 2012 to 2019, our findings show that industrial robot adoption increases firm value, and the effect is more pronounced in labor-intensive industries, private companies, and firms with executive shareholding. Possible mechanisms include operating performance improvement, effective tax rate reduction, net profit margin increase, and agency cost mitigation. This study contributes to a comprehensive evaluation of the overall impact of automation on firms and deepens the understanding of the productivity innovation drivers of firm value.

Estimated capital costs of fish exclusion technologies for hydropower facilities

Hydropower is a reliable source of renewable energy, and its future expansion is likely to be in the form of either smaller new stream development (NSD) projects or powering existing non-powered dams. Thresholds for entrainment risk to fish and the requirements for fish exclusion at hydropower facilities often differ depending on the species involved, the characteristics of the facility, and the goals of stakeholders, but little quantitative information is present within the literature regarding the specific costs of fish exclusion measures. Cost data associated with protection, mitigation, and enhancement (PM&E) measures related to positive barrier screening were identified using keyword searches of an existing environmental mitigation cost data set and manual extraction from regulatory licensing documents available in the Federal Energy Regulatory Commission (FERC) eLibrary. This approach yielded a total of 50 p.m.&E mitigation measures with estimated capital construction costs pertaining to positive barrier screens and represented <10% of the 171 total FERC project dockets available in the data set. These data were highly skewed toward conventional relicensing projects, as <7% were associated with NSD projects. Results indicate highly variable costs are associated with fish screening, with flow-normalized costs one to two orders of magnitude higher for screening with the highest exclusion capability (≤0.09 in. spacing) compared with coarser screening (1–2 in.). These data provide an initial baseline for estimating exclusion costs for hydropower development and may help developers consider options for more fish-friendly generation technologies, though gaps remain relating to a lack of data, particularly for NSD projects.

Deploying green hydrogen to decarbonize China’s coal chemical sector

China’s coal chemical sector uses coal as both a fuel and feedstock and its increasing greenhouse gas (GHG) emissions are hard to abate by electrification alone. Here we explore the GHG mitigation potential and costs for onsite deployment of green H2 and O2 in China’s coal chemical sector, using a life-cycle assessment and techno-economic analyses. We estimate that China’s coal chemical production resulted in GHG emissions of 1.1 gigaton CO2 equivalent (GtCO2eq) in 2020, equal to 9% of national emissions. We project GHG emissions from China’s coal chemical production in 2030 to be 1.3 GtCO2eq, ~50% of which can be reduced by using solar or wind power-based electrolytic H2 and O2 to replace coal-based H2 and air separation-based O2 at a cost of 10 or 153 Chinese Yuan (CNY)/tCO2eq, respectively. We suggest that provincial regions determine whether to use solar or wind power for water electrolysis based on lowest cost options, which collectively reduce 53% of the 2030 baseline GHG emissions at a cost of 9 CNY/tCO2eq. Inner Mongolia, Shaanxi, Ningxia, and Xinjiang collectively account for 52% of total GHG mitigation with net cost reductions. These regions are well suited for pilot policies to advance demonstration projects.

Algorithmic Complexity Attacks on Dynamic Learned Indexes

Learned Index Structures (LIS) view a sorted index as a model that learns the data distribution, takes a data element key as input, and outputs the predicted position of the key. The original LIS can only handle lookup operations with no support for updates, rendering it impractical to use for typical workloads. To address this limitation, recent studies have focused on designing efficient dynamic learned indexes. ALEX, as the first and one of the representative dynamic learned index structures, enables dynamism by incorporating a series of design choices, including adaptive key space partitioning, dynamic model retraining, and sophisticated engineering and policies that prioritize read/write performance. While these design choices offer improved average-case performance, the emphasis on flexibility and performance increases the attack surface by allowing adversarial behaviors that maximize ALEX's memory space and time complexity in worst-case scenarios. In this work, we present the first systematic investigation of algorithmic complexity attacks (ACAs) targeting the worst-case scenarios of ALEX. We introduce new ACAs that fall into two categories, space ACAs and time ACAs, which target the memory space and time complexity, respectively. First, our space ACA on data nodes exploits ALEX's gapped array layout and uses Multiple-Choice Knapsack (MCK) to generate an optimal adversarial insertion plan for maximizing the memory consumption at the data node level. Second, our space ACA on internal nodes exploits ALEX's catastrophic cost mitigation mechanism, causing an out-of-memory (OOM) error with only a few hundred adversarial insertions. Third, our time ACA generates pathological insertions to increase the disparity between the actual key distribution and the linear models of data nodes, deteriorating the runtime performance by up to 1, 641× compared to ALEX operating under legitimate workloads.

Patient Satisfaction With Dental Services.

Patient satisfaction is an integral aspect of healthcare quality assessment, and it plays a crucial role in evaluating the effectiveness of healthcare services. This systematic review investigates patient satisfaction with dental services provided by public dental hospitals in rural and remote areas of Saudi Arabia. The study conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) standards. It involved a comprehensive search across multiple databases, including Medline, Cochrane, Embase, and CINAHL, with tailored search strategies for each database using MeSH terms and keywords. To ensure inclusivity, the search covered publications in both English and Arabic and included Google Scholar for gray literature. Inclusion criteria focused on empirical studies conducted in rural and remote public hospitals in Saudi Arabia, published between 2013 and January 2023, assessing patient satisfaction in oral or dental care for adult patients. Data screening and extraction followed a rigorous two-step process, and a narrative synthesis was used to analyze and summarize the findings. The findings reveal a complex landscape of patient satisfaction in these settings, with varying levels of contentment reported. While more than 50% of patients expressed satisfaction with the quality of dental care, significant challenges related to accessibility were evident. Patients residing in remote and rural areas often had to travel long distances to access dental clinics, resulting in dissatisfaction. Demographic factors, particularly education and age, were identified as significant influencers of patient satisfaction, with more educated individuals tending to be less satisfied. This study emphasizes the importance of continuous monitoring of patient satisfaction to enhance service delivery, particularly in public dental clinics serving remote and rural areas. Addressing issues related to access, availability, clinical quality, and effective communication is vital for improving patient satisfaction in these healthcare settings. The study concludes with recommendations for policymakers, including the development of quality assurance policies, cost mitigation strategies, and targeted interventions to address demographic disparities and enhance patient satisfaction with dental care services.

Integrating climate change and regulating budget processes in Georgia

An important priority for managing finances at the state level in Georgia is the mid-term and annual budgetary process and the gradual integration of the negative consequences caused by climate change in this process. Perfection of state finance management harmonized with international standards is an integral part of the budget system and is an opportunity to connect the goal of climate change and sustainable development. Today, economically developed countries and Georgia are well aware that one of the key directions in assessing the country's fiscal risks is the assessment of risks related to climate change and the possibility of potential consequences and losses arising from it, and their consideration in budgetary processes. Also the importance of climate change mitigation and adaptation costs, which in turn represents a step forward towards the goal of sustainable development. The paper analyzes the step-by-step approach of integrating climate change into the medium-term and annual budgeting process in Georgia, finding the necessary tools and means to update the action plans and budget programs related to climate change in the budgetary processes, which is still a challenge, remains open and has not yet been established as a final result.

Future Scenarios of Firewood Consumption for Cooking in the Mexican Tropical Region

Within domestic food cooking, burning firewood in three-stone fires (TSF) is a common practice by more than 16 million users in the Mexican tropical climate region (CR-TR). This article aims to evaluate the implementation of improved firewood cookstoves (ICS) to replace TSF in the CR-TR by constructing firewood consumption scenarios covering 2018–2050. The results show that in CR-TR, with the implementation of ICS, the consumption of 354.95 PJ of firewood, 36.6 Mt of CO2e, 1.29 Mt of CO, and 163.78 kt of PM2.5 can all be avoided. The most important reduction in firewood consumption, CO2e emissions and CO and PM2.5 pollutants, occurs in exclusive firewood users and mixed users who utilize firewood as the primary fuel source, both of whom are low socioeconomic level in rural areas. Furthermore, most paying-for-firewood users often show negative mitigation costs and a high 50% IRR, while all non-paying-for-firewood users have mitigation costs ranging from 7.74 to 41.23 USD/tCO2e. At the end of the results section, we perform a sensitivity analysis of the relevant parameters, which complements this study. Therefore, implementing ICS will contribute to the solution of climate change, deforestation, and facilitate the formulation of sustainable development policies for the most vulnerable population sector of the Mexican CR-TR.

Identifying energy model fingerprints in mitigation scenarios

Energy models are used to study emissions mitigation pathways, such as those compatible with the Paris Agreement goals. These models vary in structure, objectives, parameterization and level of detail, yielding differences in the computed energy and climate policy scenarios. To study model differences, diagnostic indicators are common practice in many academic fields, for example, in the physical climate sciences. However, they have not yet been applied systematically in mitigation literature, beyond addressing individual model dimensions. Here we address this gap by quantifying energy model typology along five dimensions: responsiveness, mitigation strategies, energy supply, energy demand and mitigation costs and effort, each expressed through several diagnostic indicators. The framework is applied to a diagnostic experiment with eight energy models in which we explore ten scenarios focusing on Europe. Comparing indicators to the ensemble yields comprehensive ‘energy model fingerprints’, which describe systematic model behaviour and contextualize model differences for future multi-model comparison studies.

Impacts of climate change-induced heat stress on pig productivity in China

The economic impacts of climate-induced heat stress on pig farming have not been sufficiently investigated, despite the significant threat it poses to the industry. In this study, we coupled consecutive years of county-scale meteorological data with operational-level economic data to estimate the impact of climate-induced heat stress on the productivity of the Chinese pig industry using a stochastic frontier production function model. Based on model results, we projected the impact of heat stress on pig production in 2030 and 2050 with and without technological advances. Results showed that heat stress has a significant negative impact on pig production, with southern regions being more affected. However, considering technological advances, losses will decrease by 21 % and 52 %, respectively, compared with the scenario without technological advances. Simultaneously, we calculated the costs of climate change mitigation and adaptation and found that increasing production inputs to reduce production losses from heat stress costs one-fifth of forgoing production losses. Therefore, we recommend a positive climate change response strategy.

Do Two Climate Wrongs Make a Right?

AbstractAs the planet approaches local and global exceedance of the 1.5°C stabilization target, damages from climate change, mostly due to extremes, are growing far faster than projected. While assessment models have largely estimated high costs of mitigation, the cost of green energy is dropping faster than projected. Climate policy has assumed that damage costs are manageable while decarbonization is expensive. Both these assumptions are wrong, potentially leading to a tipping point in human behavior: scientists need to explore options aligned with this emerging reality.

Prioritization of control factors for heavy metals in groundwater based on a source-oriented health risk assessment model

Heavy metals (HMs) in groundwater seriously threaten ecological safety and human health. To facilitate the effective management of groundwater contamination, priority control factors of HMs in groundwater need to be categorized. A total of 86 groundwater samples were collected from the Huangpi district of Wuhan city, China, during the dry and wet seasons. To determine priority control factors, a source-oriented health risk assessment model was applied to compare the pollution sources and health risks of seven HMs (Cu, Pb, Zn, Cr, Ni, As, and Fe). The results showed that the groundwater had higher As and Fe contents. The sources of HM pollution during the wet period were mainly industrial and agricultural activities and natural sources. During the dry period, origins were more complex due to the addition of domestic discharges, such as sewage wastewater. Industrial activities (74.10% during the wet period), agricultural activities (53.84% during the dry period), and As were identified as the priority control factors for groundwater HMs. The results provide valuable insights for policymakers to coordinate targeted management of HM pollution in groundwater and reduce the cost of HM pollution mitigation.

Integrated assessment models and input–output analysis: bridging fields for advancing sustainability scenarios research

Technology-rich Integrated assessment models (IAMs) and Environmentally-Extended Input–Output Analysis (EEIOA) are widely employed for sustainability analysis, each offering unique strengths. IAMs focus on forward-looking scenarios, exploring technological shifts and climate change mitigation costs. EEIOA provides more comprehensive but static assessments of environmental and socio-economic impacts throughout supply chains, adopting a lifecycle perspective. I conduct a literature review to assess the current state of IAM-IO integration, paving the way for future research opportunities with advanced models. Existing studies have loosely linked IAM and IO models to improve one field or the other. This perspective highlights the potential for more advanced IAM-IO model linking and identifies three domains within sustainability scenarios research where IAM-IO integration could play a crucial role: the energy-industry nexus in decarbonization pathways, multi-dimensional sustainability impact assessment and demand-side solutions and post-growth climate mitigation scenarios. The expected research insights may be pivotal to design effective sustainable policies.

The political economy of the climate crisis in Southern Africa

ABSTRACT This article maps out the dynamics of the climate crisis that is unfolding globally, but whose consequences have a disproportionate impact on countries in sub-Saharan Africa and the wider global South. Although these countries have contributed insignificant amounts of greenhouse gas emissions (compared to their industrialised counterparts), their populations are the major victims of climate change, whose disastrous impacts were recently witnessed in Zimbabwe during Cyclone Idai and in South Africa during the Durban floods. In addition, Southern Africa is experiencing climate change-induced droughts, depleting water in major dams and undermining hydroelectric power generation, especially in Zambia and Zimbabwe. As a result, the region is experiencing dangerous power outages affecting agriculture and other key industries. This article adopts a novel decolonial perspective to make sense of these extreme weather events, arguing that the climate crisis is already affecting the livelihoods of many people in Southern Africa and that it is often the poor and vulnerable who suffer most from the impacts of climate change. There is thus a need for industrialised countries to contribute towards the costs of climate change mitigation since they are historically responsible for most of the carbon emissions.

Managing noise and vibration on mega projects in Australia

The last decade has seen the emergence of the mega project in Australia, including Sydney Metro, WestConnex, Western Sydney Airport, Cross River Rail, Melbourne Metro, and North East Link Project. These projects provide challenges in the management of noise and vibration due to site constraints, proximity to sensitive receivers and condensed project timelines. While the environmental noise and vibration regulation of these projects can differ from state to state, the design process remains largely the same. This paper looks at noise and vibration design and management on some of Australia’s biggest infrastructure projects. Design considerations include physical mitigation measures such as acoustics sheds, noise barriers, temporary noise barriers or enclosures, and ventilation mitigation. Management measures and development of ongoing management tools are described. Finally, this paper reflects upon the overall noise and vibration outcomes in terms of impacts on the affected communities compared with cost of mitigation.

Health-economic valuation of lowering nitrate standards in drinking water related to colorectal cancer in Denmark

Nitrate in drinking water is a contaminant which can affect human health and has been associated with an increased risk of, amongst other diseases, colorectal cancer. Based on epidemiologic data from Denmark on the association between drinking water nitrate and colorectal cancer, the health and economic consequences of lowering the standard of nitrate in drinking water from 50 mg/L to 9.25 mg/L and 3.87 mg/L, respectively are analyzed. The drinking water nitrate attributable number of cases was estimated using the risk in the exposed and unexposed population based on current nationwide exposure distributions. The analysis shows that a lower limit of 9.25 mg/L would decrease the annual number of colorectal cancer cases by 72 (95 % confidence interval: 34–114) and by an additional 55 (95 % CI: 10–100) for a stricter limit of 3.87 mg/L. The resulting avoided health-related costs are $179 million per year for the 9.25 mg/L nitrate limit and another $138 million per year for a further reduction to 3.87 mg/L nitrate. The new requirements would incur costs linked to either i) changes in land use management, ii) well reallocation or iii) use of treatment technologies. The additional costs are estimated to $0.03–1.84 per m3 abstracted water from public water companies, which together with costs for owners of private wells, will result in an average additional cost of $9 and $6 million per year for the two levels. The economic health benefits are higher than the costs for both limits with net gains of $170 million (9.25 mg/L) and additionally $132 million (3.87 mg/L) a year. Even in a worst-case scenario (lowest health-related benefits and highest mitigation costs), there is a likely economic gain for society from lowering the limit to 9.25 mg/L, but this might not be the case for the lower limit of 3.87 mg/L.

Demand response-based cost mitigation strategy in renewable energy connected microgrid using intelligent energy management system

Demand response-based cost mitigation strategy in renewable energy connected microgrid using intelligent energy management system

Perspective-taking with affected others to promote climate change mitigation.

Prior evidence suggests that perspective-taking may promote pro-environmental behavior, at least for low-cost behaviors or local environmental problems. Climate change, however, requires costly mitigation efforts and is a global problem. Thus, in this study, we examine whether perspective-taking in the context of climate change is effective in promoting mitigation behaviors, including actual and/or costly behaviors, the mechanisms through which perspective-taking works, and if the distance to the person adversely affected by climate change matters for the effect. We conducted an online experiment with a non-student sample from Germany (n = 557), utilizing a 2 × 2 factorial design, to investigate the impact of perspective-taking and distance on three outcome measures: a climate donation, signing a petition, and approval of mitigation policies. We find that perspective-taking does not promote these mitigation behaviors, yet it raises the degree perspective-takers value and - for close others - feel connected with the affected person. Exploratory analysis shows that dispositional perspective-taking and empathic concern are correlated with mitigation behaviors.