scholarly journals Costs of Reducing Global Carbon Emissions

1993 ◽  
Vol 7 (4) ◽  
pp. 27-46 ◽  
Author(s):  
John P Weyant
Keyword(s):  
Climate Change ◽  
Carbon Emissions ◽  
Short Range ◽  
Cost Benefit ◽  
Future Research ◽  
Time Horizons ◽  
Integral Component ◽  
Key Dimensions ◽  
The Cost ◽  
Global Carbon

Projecting the costs of reducing carbon emissions is extremely important, and exceedingly difficult. Such projections are an integral component of cost-benefit analyses of alternative policies in response to climate change. This paper first discusses the key dimensions of any projection of the cost of reducing carbon emissions. Then it discusses the projections that have been made, including long-, medium- and short-range time horizons. Finally, the conclusion summarizes what we know and don't know about the costs of controlling carbon emissions and recommends an agenda for future research.

A Cost Benefit Analysis for Distribution of Threatened Species Based on Climate Change

2021 ◽  
Author(s):  
R. Nandhi Kesavan ◽  
Latha K
Keyword(s):  
Climate Change ◽  
Endangered Species ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Species Traits ◽  
Ecological Traits ◽  
Species List ◽  
Critically Endangered Species ◽  
Reptile Species ◽  
The Cost

Abstract Among all the threats to global diversity, climate change is the most severe cause. According to the world’s biodiversity conservation organization, reptile species are affected mostly because the biological and ecological traits of the reptiles are strongly linked with climate. To prevent species extinction, we tried to develop a decision support system that incurs the costs and benefits of reintroducing a taxon from its origin to adapt environmental conditions to conserve it from its extinction. The model was developed by applying multiple linear regressions that take the climatic variables and species traits to determine the cost and benefits for the distribution of species. The effectiveness of the model was evaluated by applying it to the Indian Black Turtle, which is an endangered species list in India evaluated by the International Union for Conservation of Nature list. The model recommends moving the species, which is endangered, to the location where it can save itself from climate change. However, the framework demonstrates huge differences in the estimated significance of climate change, and the model strategy helps to recognize the probable risk of increased revelation to critically endangered species.

scholarly journals The landscape of fear conceptual framework: definition and review of current applications and misuses

2017 ◽  
Author(s):  
Sonny S Bleicher
Keyword(s):  
Conceptual Framework ◽  
Predation Risk ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Future Research ◽  
Common Framework ◽  
Dimensional Distribution ◽  
History Of ◽  
Energetic State ◽  
The Cost

Landscapes of Fear (LOF), the spatially explicit distribution of perceived predation risk as seen by a population, is increasingly cited in ecological literature and has become a frequently used “buzz-word”. With the increase in popularity, it became necessary to clarify the definition for the term, suggest boundaries and propose a common framework for its use. The LOF, as a progeny of the “ecology of fear” conceptual framework, defines fear as the strategic manifest of the cost-benefit analysis of food and safety tradeoffs. In addition to direct predation risk, the LOF is affected by individuals’ energetic-state, inter- and intra-specific competition and is constrained by the evolutionary history of each species. Herein, based on current applications of the LOF conceptual framework, I suggest the future research in this framework will be directed towards: (1) finding applied management uses as a trait defining a population’s habitat-use and habitat-suitability; (2) studying multi-dimensional distribution of risk-assessment through time and space; (3) studying variability between individuals within a population; and (4) measuring eco-neurological implications of risk as a feature of environmental heterogeneity.

scholarly journals The landscape of fear conceptual framework: definition and review of current applications and misuses

2017 ◽  
Author(s):  
Sonny S Bleicher
Keyword(s):  
Conceptual Framework ◽  
Predation Risk ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Future Research ◽  
Common Framework ◽  
Dimensional Distribution ◽  
History Of ◽  
Energetic State ◽  
The Cost

Landscapes of Fear (LOF), the spatially explicit distribution of perceived predation risk as seen by a population, is increasingly cited in ecological literature and has become a frequently used “buzz-word”. With the increase in popularity, it became necessary to clarify the definition for the term, suggest boundaries and propose a common framework for its use. The LOF, as a progeny of the “ecology of fear” conceptual framework, defines fear as the strategic manifest of the cost-benefit analysis of food and safety tradeoffs. In addition to direct predation risk, the LOF is affected by individuals’ energetic-state, inter- and intra-specific competition and is constrained by the evolutionary history of each species. Herein, based on current applications of the LOF conceptual framework, I suggest the future research in this framework will be directed towards: (1) finding applied management uses as a trait defining a population’s habitat-use and habitat-suitability; (2) studying multi-dimensional distribution of risk-assessment through time and space; (3) studying variability between individuals within a population; and (4) measuring eco-neurological implications of risk as a feature of environmental heterogeneity.

scholarly journals Next level proctored exam for proficiency testing in Primary Care Education: an observatory study on efficiency and accuracy and on exam outcome. (Preprint)

2020 ◽  
Author(s):  
Birgitte Schoenmakers ◽  
Johan Wens
Keyword(s):  
Background Noise ◽  
Negative Impact ◽  
Cost Benefit ◽  
Critical Event ◽  
Future Research ◽  
Test Accuracy ◽  
Primary Care Education ◽  
Technical Issues ◽  
The Cost ◽  
The Impact

BACKGROUND The COVID19 pandemic affected education and assessment and led to a complex planning. Therefore, we organised the proficiency test for admission to Family Medicine as a proctored exam. To prevent from fraud we developed a virtual supervisor app tracking and tracing candidates’ behaviour. OBJECTIVE To assess efficiency and accuracy of the proctored exam procedure and to test the impact on the exam scores. METHODS The app operates on three levels to register events: recording of actions, analyses of behaviour and live supervision. Each suspicious event is given a score. To assess efficiency we inventoried the technical issues and the interventions. To test accuracy we counted the number of suspicious students and behaviours. To test the impact of the supervising app on students’ exam outcome we compared the scores between the proctored and the on campus group. Candidates were free to register for off or on campus participation. RESULTS 593 candidates subscribed to the exam: 472 (79%) candidates used the supervisor app and 121 (20%) were on campus. Test results of both groups were comparable. We registered 15 technical issues in off campus context. Two candidates experienced a negative impact on the exam due to the technical issue. The app detected 22 candidates with a suspicious level >1, mainly increased due to background noise. All events occurred without fraud purpose. CONCLUSIONS This pilot study demonstrated that a supervisor app with recording and registration behaviour is able to detect suspicious events without an impact on the exam. Background noise was the most critical event. There was no fraud detected. A supervisor app registering and recording behaviour to prevent from fraud during exams is efficient and not affecting the exam outcome. In future research, a controlled design should compare the cost-benefit balance between the complex intervention of the supervisor app and the combination of the candidates’ awareness of being monitored with a safe exam browsing plug in. CLINICALTRIAL Not applicable

Prospects for global climate governance in 2018

2017 ◽  
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Renewable Energy ◽  
Electric Vehicle ◽  
Carbon Emissions ◽  
Global Climate ◽  
Climate Governance ◽  
Content Type ◽  
Vehicle Technology ◽  
Global Carbon

Subject The prospects for global climate governance in 2018. Significance The 2017 UN COP23 Climate Change Conference, chaired by Fiji, ended in the shadow of news that 2017 is expected to see a 2% rise in global carbon emissions. After three years of roughly stable emissions, this estimated increase magnifies the challenge of making the sharp emission reductions needed to meet the Paris Agreement’s goal of keeping global warming to below 2 degrees centigrade above preindustrial levels, even as the renewable energy sector grows and electric vehicle technology makes further progress.

scholarly journals Transport externalities of bus stations produced by Greenhouse Gas (GHG)

2020 ◽  
Vol 167 ◽  
pp. 04001
Author(s):  
M Córdova-Suárez ◽  
E Barreno-Ávila ◽  
P Villacrés-Cevallos ◽  
O Ruíz-Robalino
Keyword(s):  
Climate Change ◽  
Greenhouse Gases ◽  
Greenhouse Gas ◽  
Carbon Emissions ◽  
Ghg Emissions ◽  
External Costs ◽  
Cost Factor ◽  
Average Load ◽  
The Cost ◽  
Indirect Sources

It is established that the interprovincial transportation in bus terminals of the Cities such as Ambato, Riobamba, Salcedo, Latacunga and Guaranda have contributed to the build-up of external costs of Greenhouse Gases (GHG) The climate change costs are calculated by multiplying the carbon emissions by the cost factor. To quantify the GHG emissions, this study has taken into account of both the direct and indirect sources of the Greenhouse Gas Protocol (GHG), as well as the ISO 14064.1: 2006 standard. In view thereof, it was found that the 11 bus terminals of the five cities, namely Latacunga, Riobamba Salcedo, Ambato, Guaranda-which accounts for around 3225 buses, had accounted for the emissions of 25,746.8 tCO2eq, 37,404.6 tCO2eq, 8,762.7 tCO2eq, 92,364.9 tCO2eq, 31,990.3 tCO2eq, respectively. Simply, the average load of such pollution produced per vehicle was 60.8 tCO2eq. and the total emissions were 196,269.3 tCO2eq with an estimated GHG contamination cost of €27,477,702 per year.

scholarly journals The cost of risk management and multifunctionality in forestry: a simulation approach for a case study area in Southeast Germany

2021 ◽  
Author(s):  
Stefan Friedrich ◽  
Torben Hilmers ◽  
Claudia Chreptun ◽  
Elizabeth Gosling ◽  
Isabelle Jarisch ◽  
...  
Keyword(s):  
Climate Change ◽  
Forest Management ◽  
Tree Species ◽  
Species Selection ◽  
Forest Composition ◽  
Future Research ◽  
Adaptation Measures ◽  
Financial Return ◽  
The Cost

AbstractForest management faces growing uncertainty concerning environmental conditions and demand for ecosystem services. To help forest managers consider uncertainty, we applied a robust and multi-criteria approach to select the optimal composition of a forest enterprise from 12 stand types. In our simulation, the forest enterprise strives for either financial return or a multi-criteria forest management considering financial return, carbon storage and forest ecosystem stability. To quantify the influence of climate change on these decision criteria, we used the concept of analogous climate zones. Our results provide recommendations for long-term strategies for tree species selection in a Southeast German forest enterprise. The results show that considering both uncertainty and multifunctionality in forest management led to more diversified forest compositions. However, robust and multi-criteria optimisation required the forest enterprise to pay a premium in terms of lower income. Financial returns decreased when forest composition accounted for uncertainty or multiple objectives. We also found that adaptation measures could only partly financially compensate the effects of climate change. As the study is limited to two tree species, including additional tree species, variants of mixing proportions and further silvicultural strategies in the optimisation appears a promising avenue for future research.

scholarly journals Averting Catastrophes: The Strange Economics of Scylla and Charybdis

2015 ◽  
Vol 105 (10) ◽  
pp. 2947-2985 ◽  
Author(s):  
Ian W. R. Martin ◽  
Robert S. Pindyck
Keyword(s):  
Climate Change ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Benefit Analysis ◽  
Catastrophic Events ◽  
The Cost

Faced with numerous potential catastrophes—nuclear and bioterrorism, mega-viruses, climate change, and others—which should society attempt to avert? A policy to avert one catastrophe considered in isolation might be evaluated in cost-benefit terms. But because society faces multiple catastrophes, simple cost-benefit analysis fails: even if the benefit of averting each one exceeds the cost, we should not necessarily avert them all. We explore the policy interdependence of catastrophic events, and develop a rule for determining which catastrophes should be averted and which should not. (JEL D61, Q51, Q54)

scholarly journals Interregional Transfer of Carbon Emissions and Shared Responsibility: A Review of Theory and Evidence

2018 ◽  
Vol 13 (8) ◽  
pp. 236
Author(s):  
Yabei Hu ◽  
Yang Tao
Keyword(s):  
Carbon Emissions ◽  
Global Climate ◽  
Shared Responsibility ◽  
Future Research ◽  
Emissions Reduction ◽  
New Directions ◽  
Specific Emissions ◽  
Global Carbon ◽  
Practical Implications ◽  
Emission Transfers

Addressing global climate change through obligation assignment of region-specific emissions reduction needs to measure not only direct carbon emissions of a particular region but also indirect carbon emissions, which are increasingly raised by interregional transfer of carbon emissions. With the literature on carbon emissions expanding substantially, emission transfers at both international and national levels have attracted a growing attention in the past years. This study provides an overview of the theoretical basis for, and empirical evidence on interregional emission transfers from three perspectives: transfer levels, transfer drivers and shared responsibility. We emphasize the contribution of such research to our understanding of global carbon emissions and regional responsibilities of emissions reduction. The discrepancies with previous studies are discussed in relation to the various theoretical arguments and empirical methods. Finally, based on the literature review, the study discusses theoretical and practical implications for scholars and practitioners, and highlights possible new directions for future research. 

The Counterintuitive Relationship between Globalization and Climate Change

2003 ◽  
Vol 3 (3) ◽  
pp. 8-13 ◽  
Author(s):  
J. Samuel Barkin
Keyword(s):  
Climate Change ◽  
Environmental Effects ◽  
Carbon Emissions ◽  
Economic Globalization ◽  
Anthropogenic Climate Change ◽  
Long Distance ◽  
Sea Transport ◽  
Trade Routes ◽  
Anthropogenic Carbon ◽  
The Cost

Scholars and activists are concerned, sometimes simultaneously, with mitigation of anthropogenic climate change and the environmental effects of globalization. Many analysts argue that a solution to both problems is localization; increasing the costs of transportation should increase the cost of long-distance transportation, making local and regional exchange economically relatively more efficient. The argument here, however, is that dealing with climate change will have the effect of reinforcing patterns of economic globalization, at the expense of patterns of economic nationalization and continentalization. Transportation by sea has historically been, and continues to be, more fuel-efficient than transportation by land. Limiting anthropogenic carbon emissions in transportation therefore favors sea transport over land transport. Historically, patterns of trade favored global seaborne trade routes over trade within land-based regions. The model to look in understanding the effect of action on climate change on global trade pattens, therefore, is not the future proposed by the localists, it is at historical patterns.

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