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This study aims to introduce management students to climate change by providing them with an opportunity to address it in their own lives, through a class exercise.

An in-class exercise was designed, carried out and described in this study. Student teams were assigned different questions on how to address major causes of climate change. Each team did research to generate answers, and ranked their answers based on the speed of implementation. Teams reported their answers to the class. The instructor facilitated a debriefing session, during which all responses were ranked with respect to other variables, including cost savings, time savings and lifestyle fit. This exercise uses few resources and can be adapted to different time lengths and teaching/learning formats (e.g. on-ground, virtual, asynchronous online).

This exercise can help students to gain an understanding of climate change and its causes and complexities. Students learn how to implement a diverse set of personal actions to mitigate climate change; these can start in the present and continue throughout their lives. In addition, this exercise may help students to make the leap from individual climate change mitigation practices to organizational and societal practices, when they are in the position to do so as future leaders.

Although classes, exercises, and assignments ask management students to consider issues such as climate change at the organizational level, this individual-level exercise can allow students with limited organizational experience to engage more quickly with climate change and better understand organizational and societal implications in the future. That is, if students first understand how to address climate change in their own lives, they may more effectively transfer and apply that understanding at organizational and societal levels and ultimately synthesize solutions to address climate change in the world.

Climate change adaptation strategies are critical for long-term road infrastructure development (RID) because it is expected to put more land and transportation infrastructure at risk from stronger winds, more intense storms, and rising sea levels. Deformation and subsidence could occur if concrete pavements crumbled and asphalt roads softened due to higher temperatures, and changes in the frequency and intensity of precipitation could have far-reaching consequences for the smooth operation of transportation networks. The developed world is primarily responsible for the carbon emissions that contribute to global warming, while less developed countries are insignificant. The African Union sees climate change as a major threat to the continent’s economic development and is working with member states and key organizations to address it. It is critical for developing countries to establish frameworks for detecting climate change risks, developing adaptation strategies, and implementing plans. The sustainable development plan (SRIP) is critical for protecting transportation networks from the effects of climate change. Sustainable development principles are critical for clarifying the proposed project’s relationships with the local and larger society, economy, ecosystems, and various institutions. The ability of a system or structure to recover from disruption while continuing to function and adapt to new circumstances is referred to as resilient infrastructure. Low-carbon infrastructure coexists with resilient infrastructure, and the pursuit of resilient infrastructure necessitates a reduction in the likelihood of failure, a lessening of the negative consequences when failures do occur, and a reduction in the time required to recover due to an increase in the facilities’ capacity to endure, adapt, and change. As part of the implementation process, RID experts must consider how climate change will impact transportation infrastructure. Risk assessment is a systematic method of looking for things that could go wrong, determining how bad they could be, and determining how likely they are to happen. Adaptable designs must include multiple measures to prevent system breakdowns. Climate change’s effects on road infrastructure, as well as rising sea levels, continue to jeopardize low-lying transportation infrastructure. Implementing SRIP necessitates the development of a climate change response mechanism.

The purpose of this paper is to have a deeper understanding of the nonlinear relationship between the impact of climate change on tourism development. Current studies on the effects of climate change on tourism development primarily rely on linear correlation assumptions.

Based on the New Institutional Economics theory, the institutional setting inherently motivates and ensures the growth of the tourism industry. For a precise evaluation of the nonlinear consequences of climate change on tourism, this paper concentrates on Chinese cities between 2011 and 2021, methodically analyzing the influence of climate change on tourism.

The study findings suggest that there is an “inverse U”-shaped nonlinear relationship between climate change and tourism development, initially strengthening and subsequently weakening. Based on these findings, the research further delves into how institutional contexts shape the nonlinear association between climate change and tourism growth. It was found that in a higher institutional backdrop, the “inverse U” curve tends to flatten and surpass the curve adjusted for a lesser institutional context. Upon deeper mechanism analysis, it was observed that cities with more advanced marketization, improved industrial restructuring and enhanced educational growth exhibit a more evident “inverse U”-shaped nonlinear connection between climate change and tourism evolution.

First, previous studies on climate change and tourism development largely rely on questionnaire data (Hu et al., 2022). In contrast to these studies, this paper uses dynamic panel data, which to some extent overcomes the subjectivity and difficulty of causality identification in questionnaire data, making our research conclusions more accurate and reliable. Second, this study breaks through the linear relationship hypothesis of previous literature regarding climate change and tourism development. By evaluating the nonlinear relationship of climate change to tourism development from the institutional pressure perspective, it more intricately delineates their interplay mechanism, expanding and supplementing the research literature on the relationship mechanism between climate change and tourism development. Thirdly, the conclusions of this study are beneficial for policymakers to better understand and assess the scope of climate change impacts. It also aids relevant departments in clarifying the direction of institutional environment optimization to elevate the level of tourism development when faced with adverse impacts brought about by climate change.

Exploiting novel measures of climate change exposure and corporate culture generated by a powerful textual analysis of earnings conference calls, this study aims to explore the effect of firm-specific climate change exposure on corporate innovation through the lens of corporate culture.

The authors apply the standard regression analysis as well as a variety of sophisticated techniques, namely, propensity score matching, entropy balancing and an instrumental-variable analysis with multiple alternative instruments.

The authors find that more exposure to climate change risk results in more innovation, as indicated by a significantly stronger culture of innovation. The findings are consistent with the notion that firms more exposed to climate change risk are pressed to be more innovative to adapt to the numerous changes caused by climate change. Finally, the authors also find that the effect of firm-level exposure on innovation is considerably less pronounced during uncertain times.

The authors are among the first studies to take advantage of a novel measure of firm-specific exposure to climate change and investigate how climate change exposure influences an innovative culture. Since climate change is a timely issue, the findings offer important implication to several stakeholders, such as shareholders, executives and investors in general.

The objective of this study is to explore the level of understanding and actions taken by the people of Gurugram (erstwhile Gurgaon) to mitigate the impact of climate change, given its critical importance as a global issue.

Using a qualitative approach, primary data were collected through in-depth interviews by means of semi-structured interview methods.

The findings indicate that while people are aware of climate change, the information is deficient for them to translate their knowledge into effective action. Some of the major challenges identified are lack of appropriate understanding, resources, education, motivation and government initiatives, as well as the old habits, peer influence, feeling of incapability and limited media exposure. To bridge the intention-action gap, it is recommended that people should be empowered to act desirably. There is a change need for awareness and education on ways to mitigate the effects of climate change. The study has implications for researchers, environmentalists, policymakers, non-government organizations and local residents of Gurugram.

This study provides unique insights into the understanding of climate change by the general public and challenges faced in taking pro-environment actions. It emphasizes the urgent need to create awareness and educate individuals about ways to mitigate the impact of climate change.

The world is increasingly threatened by climate change. As the dimensions of this danger grow, it becomes essential to develop the most effective policies to mitigate its impacts and adapt to these new conditions. Technology is one of the most crucial components of this process, and this study focuses on examining climate change adaptation technologies. The aim of the study is to investigate the entire spectrum of technology actors and to concentrate on the technology citation network established from the past to the present, aiming to identify the core actors within this structure and provide a more comprehensive outlook.

The study explores patent citation relationships using social network analysis. It utilizes patent data published between 2000 and 2023 and registered by the US Patent and Trademark Office.

Study findings reveal that technologies related to greenhouse technologies in agriculture, technologies for combatting vector-borne diseases in the health sector, rainwater harvesting technologies for water management, and urban green infrastructure technologies for infrastructure systems emerge as the most suitable technologies for adaptation. For instance, greenhouse technologies hold significant potential for sustainable agricultural production and coping with the adverse effects of climate change. Additionally, ICTs establish intensive connections with nearly all other technologies, thus supporting our efforts in climate change adaptation. These technologies facilitate data collection, analysis, and management, contributing to a better understanding of the impacts of climate change.

Existing patent analysis methods often fall short in detailing the unique contributions of each technology within a technological network. This study addresses this deficiency by comprehensively examining and evaluating each technology within the network, thereby enabling us to better understand how these technologies interact with each other and contribute to the overall technological landscape.

Climate change is a problem that concerns all of us. Despite the information produced by organizations such as the Expert Team on Climate Change Detection and Indices and the United Nations, only a few cities have been planned taking into account the climate changes indices. This paper aims to study climatic variations, how climate conditions might change in the future and how these changes will affect the activities and living conditions in cities, specifically focusing on Mexico city.

In this approach, two distinct machine learning regression models, k-Nearest Neighbors and Support Vector Regression, were used to predict variations in climate change indices within select urban areas of Mexico city. The calculated indices are based on maximum, minimum and average temperature data collected from the National Water Commission in Mexico and the Scientific Research Center of Ensenada. The methodology involves pre-processing temperature data to create a training data set for regression algorithms. It then computes predictions for each temperature parameter and ultimately assesses the performance of these algorithms based on precision metrics scores.

This paper combines a geospatial perspective with computational tools and machine learning algorithms. Among the two regression algorithms used, it was observed that k-Nearest Neighbors produced superior results, achieving an R² score of 0.99, in contrast to Support Vector Regression, which yielded an R² score of 0.74.

The full potential of machine learning algorithms has not been fully harnessed for predicting climate indices. This paper also identifies the strengths and weaknesses of each algorithm and how the generated estimations can then be considered in the decision-making process.

The purpose of this research is to understand how educational tourists in Northern Cyprus perceive and respond to the concerns associated with climate change.

A qualitative method was employed and the data gathered from educational tourists enrolled in tourism planning and sustainable tourism courses in Northern Cyprus and analyzed using the content analysis technique.

Four major themes emerged in this study including “weather changes”, “human-induced causes”, “collective responsibility” and “waste management and recycling”.

Climate change-related issues among educational tourists have received little attention in the literature. This study contributes to the body of knowledge by examining educational tourists' perspectives and reactions to climate change in Northern Cyprus.

Taking advantage of distinctive text-based measures of climate policy uncertainty and firm-specific exposure to climate change, this study aims to examine the impact of firm-specific vulnerability on dividend policy.

To mitigate endogeneity, the authors apply an instrumental-variable analysis based on climate policy uncertainty as well as use additional analysis using propensity score matching and entropy balancing.

The authors show that an increase in climate policy uncertainty exacerbates firm-specific exposure considerably. Exploiting climate policy uncertainty to generate exogenous variation in firm-specific exposure, the authors demonstrate that companies more susceptible to climate change are significantly less likely to pay dividends and those that do pay dividends pay significantly smaller dividends. For instance, a rise in firm-specific exposure by one standard deviation weakens the propensity to pay dividends by 5.11%. Climate policy uncertainty originates at the national level, beyond the control of individual firms and is thus plausibly exogenous, making endogeneity less likely.

To the best of the authors’ knowledge, this study is the first attempt in the literature to investigate the effect of firm-specific exposure on dividend policy using a rigorous empirical framework that is less vulnerable to endogeneity and is more likely to show a causal influence, rather than a mere correlation.

Tourism is a rapidly growing economic sector that contributes significantly to national and local economies globally. Tourism growth in any destination largely depends on the weather and climate, considered prime factors affecting global tourist flows. Global South countries are said to be particularly vulnerable to climate change, owing to their limited adaptation capacity, placing them at greater risk of the impacts of climate change. This adaptive capacity is mainly attributed to a lack of capital intensity and technological flexibility, which is less effective than in developed countries. In addition to a lack of capacity to adjust to the direct hazards of climate change, developing countries are at additional risk due to their heavy reliance on economic sectors and resources sensitive to climate change, such as tourism. An enhanced understanding of climate change's impacts and adaptations to climate change is critical for determining strategic actions for tourism planning and development. This chapter provides a theoretical review of tourism and adaptation strategies, challenges and the dimensions of vulnerability in a tourism context, as well as the implications of climate change on tourism planning in the future. This chapter discusses the impact of climate change on tourism in the Global South, examining case studies and policy frameworks for adaptation and mitigation. It further explores opportunities for sustainable tourism development and partnerships for climate-resilient tourism. Overall, the chapter focuses on the challenges and opportunities for sustainable tourism in the Global South in the face of climate change.