scholarly journals Identifying Climate Adjacency for Enhancing Climate Action Using Systems Thinking and Modelling

Systems ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 83
Author(s):  
Kabir Sharma ◽  
Mihir Mathur
Keyword(s):  
Systems Thinking ◽  
Simulation Models ◽  
Development Projects ◽  
Flow Models ◽  
Concept Model ◽  
Mitigation And Adaptation ◽  
Climate Action ◽  
Participatory Systems ◽  
Environment And Development ◽  
Stock Flow

This paper presents findings from a process aimed at identifying the climate linkages of non-climate focused environment and development projects in India. Findings from four case studies based on workshops using participatory systems thinking are summarized. These climate adjacencies are documented as systems stories using the tools of systems thinking—behavior over time graphs and causal loop diagrams. These place-based stories highlight how the environment and development projects have linkages with climate change mitigation and adaptation. An attempt has been made to convert one of the systems stories into a computable simulation model using system dynamics modelling. A small concept model has been created thus and used to perform simulation runs. Four scenarios have been generated and the results discussed. Our learning from converting feedback maps into stock-flow models is presented. The insights generated from interpreting the feedback maps and simulation results are also presented. These insights are then compared and the benefits of simulation evaluated. The paper highlights the need to document climate linkages of non-climate-focused development projects and the benefit of converting systems stories into simulation models for developing operational insights. The important role such methods can play in developing capacities for enhancing climate action is also discussed.

The Role of Late-Night Infotainment Comedy in Communicating Climate Change Consensus

2019 ◽  
Author(s):  
Edward John Roy Clarke ◽  
Anna Klas ◽  
Joshua Stevenson ◽  
Emily Jane Kothe
Keyword(s):  
Climate Change ◽  
Policy Support ◽  
Mitigation Policy ◽  
Behavioural Intentions ◽  
Late Night ◽  
Mitigation And Adaptation ◽  
Climate Action ◽  
Adaptation Policies ◽  
Diverse Audience

Climate change is a politically-polarised issue, with conservatives less likely than liberals to perceive it as human-caused and consequential. Furthermore, they are less likely to support mitigation and adaptation policies needed to reduce its impacts. This study aimed to examine whether John Oliver’s “A Mathematically Representative Climate Change Debate” clip on his program Last Week Tonight polarised or depolarised a politically-diverse audience on climate policy support and behavioural intentions. One hundred and fifty-nine participants, recruited via Amazon MTurk (94 female, 64 male, one gender unspecified, Mage = 51.07, SDage = 16.35), were presented with either John Oliver’s climate change consensus clip, or a humorous video unrelated to climate change. Although the climate change consensus clip did not reduce polarisation (or increase it) relative to a control on mitigation policy support, it resulted in hyperpolarisation on support for adaptation policies and increased climate action intentions among liberals but not conservatives.

scholarly journals Urban Climate Policy and Action through a Health Lens—An Untapped Opportunity

2021 ◽  
Vol 18 (23) ◽  
pp. 12516
Author(s):  
Audrey de Nazelle ◽  
Charlotte J. Roscoe ◽  
Aina Roca-Barcelό ◽  
Giselle Sebag ◽  
Gudrun Weinmayr ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
International Society ◽  
Urban Climate ◽  
Environmental Epidemiology ◽  
Evidence Base ◽  
Mitigation And Adaptation ◽  
Climate Action ◽  
Health Promoting ◽  
Funding Opportunities

Motivated by a growing recognition of the climate emergency, reflected in the 26th Conference of the Parties (COP26), we outline untapped opportunities to improve health through ambitious climate actions in cities. Health is a primary reason for climate action yet is rarely integrated in urban climate plans as a policy goal. This is a missed opportunity to create sustainable alliances across sectors and groups, to engage a broad set of stakeholders, and to develop structural health promotion. In this statement, we first briefly review the literature on health co-benefits of urban climate change strategies and make the case for health-promoting climate action; we then describe barriers to integrating health in climate action. We found that the evidence-base is often insufficiently policy-relevant to be impactful. Research rarely integrates the complexity of real-world systems, including multiple and dynamic impacts of strategies, and consideration of how decision-making processes contend with competing interests and short-term electoral cycles. Due to siloed-thinking and restrictive funding opportunities, research often falls short of the type of evidence that would be most useful for decision-making, and research outputs can be cryptic to decision makers. As a way forward, we urge researchers and stakeholders to engage in co-production and systems thinking approaches. Partnering across sectors and disciplines is urgently needed so pathways to climate change mitigation and adaptation fully embrace their health-promoting potential and engage society towards the huge transformations needed. This commentary is endorsed by the International Society for Environmental Epidemiology (ISEE) and the International Society for Urban Health (ISUH) and accompanies a sister statement oriented towards stakeholders (published on the societies’ websites).

Multicointegration in Stock-Flow Models

1999 ◽  
Vol 61 (2) ◽  
pp. 237-254 ◽  
Author(s):  
Tom Engsted ◽  
Niels Haldrup
Keyword(s):  
Flow Models ◽  
Stock Flow

scholarly journals Exploring Low-Carbon Futures: A Web Service Approach to Linking Diverse Climate-Energy-Economy Models

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2880 ◽  
Author(s):  
Getachew F. Belete ◽  
Alexey Voinov ◽  
Iñaki Arto ◽  
Kishore Dhavala ◽  
Tatyana Bulavskaya ◽  
...  
Keyword(s):  
Web Service ◽  
Programming Languages ◽  
Computable General Equilibrium ◽  
Spatial Scales ◽  
Simulation Models ◽  
Building Blocks ◽  
Integrated Assessment Model ◽  
Assessment Model ◽  
Low Carbon ◽  
Mitigation And Adaptation

The use of simulation models is essential when exploring transitions to low-carbon futures and climate change mitigation and adaptation policies. There are many models developed to understand socio-environmental processes and interactions, and analyze alternative scenarios, but hardly one single model can serve all the needs. There is much expectation in climate-energy research that constructing new purposeful models out of existing models used as building blocks can meet particular needs of research and policy analysis. Integration of existing models, however, implies sophisticated coordination of inputs and outputs across different scales, definitions, data and software. This paper presents an online integration platform which links various independent models to enhance their scope and functionality. We illustrate the functionality of this web platform using several simulation models developed as standalone tools for analyzing energy, climate and economy dynamics. The models differ in levels of complexity, assumptions, modeling paradigms and programming languages, and operate at different temporal and spatial scales, from individual to global. To illustrate the integration process and the internal details of our integration framework we link an Integrated Assessment Model (GCAM), a Computable General Equilibrium model (EXIOMOD), and an Agent Based Model (BENCH). This toolkit is generic for similar integrated modeling studies. It still requires extensive pre-integration assessment to identify the ‘appropriate’ models and links between them. After that, using the web service approach we can streamline module coupling, enabling interoperability between different systems and providing open access to information for a wider community of users.

Re-inventing model-based decision support with Australian dryland farmers. 1. Changing intervention concepts during 17 years of action research

2009 ◽  
Vol 60 (11) ◽  
pp. 1017 ◽  
Author(s):  
R. L. McCown ◽  
P. S. Carberry ◽  
Z. Hochman ◽  
N. P. Dalgliesh ◽  
M. A. Foale
Keyword(s):  
Decision Support ◽  
Systems Thinking ◽  
Management Practice ◽  
Simulation Models ◽  
Third Party ◽  
Support Intervention ◽  
Decision Support Intervention ◽  
Systems Research ◽  
Local Soil ◽  
Starting Point

The idea that simulation models of agricultural production can serve as tools for farmers remains a compelling idea even after 3 decades of mostly disappointing development efforts. This paper is the first in a series that reports on 17 years of systems research that used models differently from the Decision Support System idea that has dominated the field. The starting point of FARMSCAPE (Farmers’, Advisers’, Researchers’, Monitoring, Simulation, Communication And Performance Evaluation) was finding whether farmers could value simulation when conditions for appreciation were improved by (a) specifying the simulator for individual paddocks in question and (b) delivering customised simulation to decision makers as a supporting service rather than software as a decision support product. The first aim of the program has been to learn how to effectively intervene in farm management practice using complex, abstract models of croplands, specified with local soil, climate, and management data. The second aim has been to learn how a resulting service that farmers value can be delivered cost effectively by a third party. This first paper deals with an aspect of the first aim, i.e. valued decision support intervention. In the terms used by Checkland (1981), the activities that served this systems practice aim were guided by ‘what we thought we were doing’ in intervening in farmers’ practice, i.e. our systems thinking. This first paper concerns FARMSCAPE systems thinking and how it evolved over 17 years as we learned successively through discovery of a new concept or representation in the literature to overcome limitations of the then-current conceptual framework. Subsequent papers deal with customising scientific monitoring and simulation for farmers, communication as engagement in situations of practice, understanding decision support intervention as facilitation of personal knowledge construction, and piloting commercial delivery of a simulation-based service to farmers and their advisers.

THE ECONOMIC IMPLICATIONS OF TIED AID AND LOCAL CONTENT REQUIREMENTS FOR CLIMATE FINANCE

2019 ◽  
Vol 11 (01) ◽  
pp. 2050002
Author(s):  
MARÍA VICTORIA ROMÁN ◽  
IÑAKI ARTO ◽  
ALBERTO ANSUATEGI ◽  
IBON GALARRAGA
Keyword(s):  
Developed Countries ◽  
Economic Incentive ◽  
Paris Agreement ◽  
Climate Finance ◽  
Economic Implications ◽  
Local Content ◽  
Mitigation And Adaptation ◽  
Green Climate Fund ◽  
Climate Action ◽  
Tied Aid

The Paris Agreement states that from 2020 developed countries will mobilize at least USD 100 billion per year to support climate action in developing countries. The attainment of this objective involves decisions by donor countries about the channel and destination of climate finance disbursements. This paper explores how the spending conditions associated to different disbursement options can affect the opportunities for donors to expand their exports. In particular, using a Multiregional Input-Output Model, it finds that donors have an economic incentive for choosing bilateral channels that enable to tie aid to the detriment of multilateral ones, such as the Green Climate Fund. On the other hand, local content requirements imposed by recipient countries do not substantially affect donors’ exports, since they do not reduce intermediate exports, which represent a relevant share of the total exports generated by the mitigation and adaptation actions analysed.

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