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Drawing on the theory of contingency, the aim of this work is to understand how supply chain-related contingencies, arising from climate change, are related to changes in the organisational structure of firms. Further, the authors explore how this relationship influences the perception of sustainability managers on the adoption of low-carbon operations management practices and their related benefits.

To achieve this goal, this research uses NVivo software to gather evidence from interviews conducted with ten high-level managers in sustainability and related areas from seven leading companies located in Brazil.

The authors present four primary results: a proposal of an original framework to understand the relationship between contingency theory, changes in organisational structure to embrace low-carbon management, adoption of low-carbon operations practices and benefits from this process; the discovery that an adequate low-carbon management structure is vital to improve the organisations’ perceptions of potential benefits from a low-carbon strategy; low-carbon management initiatives tend to emerge from an organisation’s existing environmental management systems; and controlling and monitoring climate contingencies at the supply chain level should be permanent and systematic.

Based on the knowledge of the authors, to date, this work is the first piece of research that deals with the complexity of putting together contingency theory, climate-change contingencies at the supply chain level, organisational structure for low-carbon management and low-carbon operations management practices and benefits. This research also highlights evidence from an emerging economy and registers future research propositions.

The purpose of this paper is to identify knowledge gaps on insinuations of possible directions of European Union (EU) and international climate policies.

This study has used participatory approach of highly experienced stakeholders’ engagement, involved directly or indirectly in the process of policymaking. A range of priority issues has been initially identified through desk analysis and key stakeholders have been selected and invited to partake in the process. Preliminary results have been validated through interaction with stakeholders during a series of workshops.

The results show the identification of a series of sectors, where climate policy is expected to focus in the future and the definition of 11 specific topics upon which knowledge gaps are expected to appear. Results on the identified knowledge needs are analysed and categorized by each prioritized main topic and compared with literature findings. Emphasis is identified to be placed on the topics of renewable energy, EU climate policy and international climate negotiations, which are the most popular ones, followed by energy policy and energy efficiency.

A key element of the approach is the consideration of key experts’ feedback on their specific area of expertise, instead of general public engagement, therefore leading to accurate results. Despite the fact that our approach was applied to a specific problem, the overall analysis could provide a framework for supporting applications in various problems in the field of priorities’ identification and even expanding to decision-making problems.

Climate finance is regularly not only seen as a tool to efficiently combat global warming but also to solve development problems in the recipient countries and to support the attainment of sustainable development goals. Thereby, conflicts between distributive and allocative objectives arise, which threaten the overall performance of such transfer schemes. Given the severity of the climate change problem, this study aims to raise concerns about whether the world can afford climate transfer schemes that do not focus on prevention of (and adaptation to) climate change but might be considered as a vehicle of rent-seeking by many agents.

Future designs of international transfer schemes within the framework of the Paris Agreement are to be based on experience gained from existing mechanisms. Therefore, the authors examine different existing schemes using a graphical technique first proposed by David Pearce and describe the conflicts between allocative and distributional goals that arise.

In line with the famous Tinbergen rule, the authors argue that other sustainability problems and issues of global fairness should not be primarily addressed by climate finance but should be mainly tackled by other means.

As there is still ongoing, intense discussion about how the international transfer schemes addressed in Article 6 of the Paris Agreement should be designed, the research will help to sort some of the key arguments.

There are prominent international documents (like the Paris Agreement and the UN 2030 Agenda for Sustainable Development) seeking to address different goals simultaneously. While synergies between policies is desirable, there are major challenges for policy coordination. Addressing several different goals using fewer policy instruments, for example, will not succeed as the Tinbergen Rule points out.

The integration of co-benefits in the analysis allows for taking into account the social effects of climate policy. As the authors argue, climate finance approaches could become overstrained if policymakers would consider them as tools to also solve local sustainability problems.

In this paper, the authors will not only examine what can be learnt from the clean development mechanism (CDM) for future schemes under Article 6 of the Paris Agreement but also observe the experiences gained from a non-CDM scheme. So the authors pay attention to the Trust Fund of the Global Environment Facility (GEF) which was established with global benefit orientation, i.e. – unlike the CDM – it was not regarded as an additional goal to support local sustainable development. Yet, despite its disregard of local co-benefits, the authors think that it is of particular importance to include the GEF in the analysis, as some important lessons can be learnt from it.

Climate change not only causes serious economic losses but also influences financial stability. The related research is still at the initial stage. This paper aims to examine and explore the impact of climate change on financial stability in China.

This paper first uses vector autoregression model to study the impact of climate change to financial stability and applies NARDL model to assess the nonlinear asymmetric effect of climate change on China’s financial stability using monthly data from 2002 to 2018.

The results show that both positive and negative climate shocks do harm to financial stability. In the short term, the effect of positive climate shocks on financial stability is greater than the negative climate shocks in the current period, but less in the lag period. In the long term, negative climate shocks bring larger adjustments to financial stability relative to positive climate shocks. Moreover, compared with the short-term effect, climate change is more destructive to financial stability in the long run.

The paper provides a quantitative reference for assessing the nexus between climate change and financial stability from a nonlinear and asymmetric perspective, which is beneficial for understanding climate-related financial risks.

The aim of this paper is to frame the stakeholder-driven system mapping approach in the context of climate change, building on stakeholder knowledge of system boundaries, key elements and interactions within a system and to introduce a decision support tool for managing and visualising this knowledge into insightful system maps with policy implications.

This methodological framework is based on the concepts of market maps. The process of eliciting and visualising expert knowledge is facilitated by means of a reference implementation in MATLAB, which allows for designing technological innovation systems models in either a structured or a visual format.

System mapping can contribute to evaluating systems for climate change by capturing knowledge of expert groups with regard to the dynamic interrelations between climate policy strategies and other system components, which may promote or hinder the desired transition to low carbon societies.

This study explores how system mapping addresses gaps in analytical tools and complements the systems of innovation framework. Knowledge elicitation, however, must be facilitated and build upon a structured framework such as technological innovation systems.

This approach can provide policymakers with significant insight into the strengths and weaknesses of current policy frameworks based on tacit knowledge embedded in stakeholders.

The developed methodological framework aims to include societal groups in the climate policy-making process by acknowledging stakeholders’ role in developing transition pathways. The system map codifies stakeholder input in a structured and transparent manner.

This is the first study that clearly defines the system mapping approach in the frame of climate policy and introduces the first dedicated software option for researchers and decision makers to use for implementing this methodology.

This study aims to examine the ability of clean energy stocks to provide cover for investors against market risks related to climate change and disturbances in the oil market.

The study adopts the feasible quasi generalized least squares technique to estimate a predictive model based on Westerlund and Narayan’s (2015) approach to evaluating the hedging effectiveness of clean energy stocks. The out-of-sample forecast evaluations of the oil risk-based and climate risk-based clean energy predictive models are explored using Clark and West’s model (2007) and a modified Diebold & Mariano forecast evaluation test for nested and non-nested models, respectively.

The study finds ample evidence that clean energy stocks may hedge against oil market risks. This result is robust to alternative measures of oil risk and holds when applied to data from the COVID-19 pandemic. In contrast, the hedging effectiveness of clean energy against climate risks is limited to 4 of the 6 clean energy indices and restricted to climate risk measured with climate policy uncertainty.

The study contributes to the literature by providing extensive analysis of hedging effectiveness of several clean energy indices (global, the United States (US), Europe and Asia) and sectoral clean energy indices (solar and wind) against oil market and climate risks using various measures of oil risk (WTI (West Texas intermediate) and Brent volatility) and climate risk (climate policy uncertainty and energy and environmental regulation) as predictors. It also conducts forecast evaluations of the clean energy predictive models for nested and non-nested models.

The game plan firms must navigate in the quest of competitive advantage which is changing quickly. More and more firms acknowledge that future prosperity depends on achieving the joint goals of economic, environmental and social sustainability. This understanding has resulted in both firms and actors on the financial markets enhancing their focus on environmental, social and governance dimensions in their respective decision-making processes. In this chapter, the focus is on one key component of the changing game plan, the European Union’s (EU) Sustainable Finance Platform that envisions investors as a key driver of firms’ sustainability transformation. Based on survey data from Swedish listed firms, we discuss implications and outcomes of the Platform. Our results show that investors play an important role in setting the rules of the gameplan for firms. However, not to the extent that it meets the ambitions of the policymakers. This suggests either that the Platform will fail to meet its aims or that firms should expect further significant changes to the gameplan in the future.

This study aims to explore South Korean firms’ reactions to climate change issues and the Korean emissions trading scheme (ETS) from the perspective of proactive climate-entrepreneurship. Differences in attitude toward the Korean ETS, implementation of carbon management practices and performance regarding operations, market and emission reductions are also investigated.

A research model was developed to investigate the differences in corporate perception of climate change. Using a cluster analysis and analysis of variance with 94 South Korean companies subject to the Korean ETS, the study identified carbon strategies and examined differences in characteristics among the strategies. This study undertook a robustness test by comparing the results from a large sample (n = 261) with those of the original sample (n = 94).

The study identifies four different carbon strategies based on climate-entrepreneurial proactivity: the “explorer,” “hesitator,” “attempter” and “laggard.” The “explorer” cluster is likely to have a proactive stance toward the Korean ETS regulation, while the “laggard” cluster shows resistance to this new climate policy. Entrepreneurial proactivity in carbon strategies is related to the actual adoption, implementation and effectiveness of carbon management practices.

This research is one of the few studies to explore differences in corporate response to climate change from the perspective of entrepreneurship. The study provides a theoretical foundation for extending the literature on the strategic management of climate change issues.

Climate change poses risks to society and the demand for carbon literacy within small and medium-sized enterprises is increasing. Skills and knowledge are required for organizational greenhouse gas accounting and science-based decisions to help businesses reduce transitional risks. At the University of Copenhagen and the University of Northern British Columbia, two carbon management courses have been developed to respond to this growing need. Using an action-based co-learning model, students and business are paired to quantify and report emissions and develop climate plans and communication strategies.

This paper draws on surveys of businesses that have partnered with the co-learning model, designed to provide insight on carbon reductions and the impacts of co-learning. Data collected from 12 respondents in Denmark and 19 respondents in Canada allow for cross-institutional and international comparison in a Global North context.

Results show that while co-learning for carbon literacy is welcomed, companies identify limitations: time and resources; solution feasibility; governance and reporting structures; and communication methods. Findings reveal a need for extension, both forwards and backwards in time, indicating that the collaborations need to be lengthened and/or intensified. Balancing academic requirements detracts from usability for businesses, and while municipal and national policy and emission targets help generate a general societal understanding of the issue, there is no concrete guidance on how businesses can implement operational changes based on inventory results.

The research brings new knowledge to the field of transitional climate risks and does so with a focus on both small businesses and universities as important co-learning actors in low-carbon transitions. The comparison across geographies and institutions contributes an international solution perspective to climate change mitigation and adaptation strategies.

This study aims to explore empirical evidence of the impact of greenhouse gas (GHG) emissions on stock market volatility.

Using panel data of 35 Organization for Economic Co-operation and Development countries from 1992 to 2018, we conduct both fixed effects panel model and Prais-Winsten model with panel-corrected standard errors.

The authors document that there is a significant positive relationship between GHG emissions and stock market volatility. The results remain robust after controlling for potential endogeneity problems.

This study contributes to the literature in that it provides additional empirical evidence for the financial risk posed by climate change.