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Purpose – Adaptation to climate change requires that the population at risk and decision makers in various sectors become aware of the possible detrimental impacts in order to take whatever action is needed, especially in highly vulnerable countries and regions. In order to assess the climate change and impact awareness in a particularly vulnerable area – the Indian city Hyderabad, located within a semiarid region – we wanted to learn more about the local climate discourse, in particular the daily newspaper coverage of climate change and weather extremes.

Methodology/approach – After having looked at the Indian climate change discourse (CCD) in general, based on literature review, we were studying the local public CCD, based on the in-depth analysis of two English language daily newspapers, and three Telugu (the dominant local language) daily newspapers, covering the period of 2008–2009. This qualitative and quantitative analysis was completed by two expert interviews with local journalists.

Findings – We find that the more recent Indian CCD has shifted if compared to the dominant argumentation pattern of the period before, as reported in other analyses. While the former discourse was characterized by the scheme “the poor/developing countries suffer from anthropogenic climate change caused by the industrialized countries,” the recent Indian CCD has become more differentiated, taking into account both impacts elsewhere, and, most notably, conceding a (limited) responsibility of countries like India. On a local level, while reports on weather extremes are very common, we find that local newspapers of Hyderabad do not provide a link between these extreme events and (global) climate change.

Research limitations – Our discourse analysis could only cover a short time period of a local CCD, leaving open the questions of (a) its further development, and (b) how things might stand in other places in India. Furthermore it would be necessary to complement our study by analyses of the impact of mass media reporting on people's attitudes and behavior.

Originality/value of paper – Given the importance of public participation in adaptation measures, it is crucial to know if and how the wider public and the majority of the nonexpert public administration (which needs to be involved) understands the causes, potential impacts, and possible adaptive action in the face of climate change. This chapter provides a necessary (though not sufficient) element for that assessment. The findings can help to identify weaknesses, and thus to give hints how to improve the adaptive capacity in places like Hyderabad (India).

Purpose – To investigate the potential impacts of future climate change in the United Kingdom on its road and rail networks.

Methodology/approach – The climate change impacts of increasing summer temperatures, decreasing winter temperatures, increased heavy precipitation, greater numbers of extreme weather events and rises in sea level are reviewed.

Findings – Surface transportation is the most exposed element to the localised impacts of climate change. High summer temperatures will result in road rutting, rail buckling and decreased thermal comfort, whereas more intense winter precipitation will cause flooding, landslips and bridge scour across all modes. For all impacts, it is the extreme events (e.g. heat waves and storms) that are potentially the most devastating. As shown, there are some positive climate change impacts. For example, in the case of winter maintenance, all transport networks stand to benefit.

Originality/value – In order for transport to react appropriately to the potential changes in climate, it is essential to understand how the road and rail networks may be affected and to build strategies for both adaptation and mitigation into plans for future developments for both modes.

Climate change increases systematic risk for firms, especially those in the agricultural industry. Therefore, the need to examine the consequences of climate-related risks on agribusiness companies' financial performance across the globe and emerging markets has risen. In this context, the paper aims to investigate the effects of climate change risks on the financial performance of agriculture listed firms in Vietnam.

The study sample includes 77 Vietnamese listed firms in the agricultural industry in the period of 2015–2019. The authors chose temperature, wind, rainfall and humidity proxies to measure climate change. The OLS regression, random regression and sub-sample analysis have been used to examine the impacts of climate risks on firms' financial performance.

Empirical results show that rain and temperature have positive impacts on financial performance of Vietnamese agriculture listed firms, while wind and humidity have insignificant impacts on financial performance.

The research helps researchers, businesses, practitioners and policymakers interested in the agricultural industry, especially those in developing and emerging countries, to develop a deep understanding of the impact of climate change risks on firm performance and therefrom prepare necessary measures to reduce the negative impacts.

This study adds to the literature stream on the impacts of climate change on financial performance. It is the first study to investigate this impact in Vietnam, a country which depends mainly on agriculture.

This paper aims to investigate the impacts of climate change on the People's Republic of China's (PRC) grain output using rural household survey data. The paper highlights the regional differences of impacts by estimating output elasticities (with respect to climate change) for different grain crops and different regions.

The paper uses production function to investigate the responses of grain output to climate variables as well as other traditional input variables. The use of production function approach allows us to do away with the competitive land market assumption as required in the Ricardian approach. The paper will use interaction terms of climate variables and regional dummies to capture the regional differences of climate change impact on grain crops.

The results indicate that the overall negative climate impacts on the PRC's grain output range from −0.31 to −2.69 percent in 2030 and from −1.93 to −3.07 percent in 2050, under different emission scenarios. The impacts, however, differ substantially for different grain crops and different regions.

This paper addresses the limitations of existing literature by highlighting regional differences and crop varieties using the most recent nationwide rural household survey data. The results indicate pronounced regional differences and crop differences in the impacts of climate changes on PRC's grain output.

Enterprise systems (ESs) are hard to maintain, since they embed a large fraction of organisational data and tasks, which are often intertwined and highly interdependent. The purpose of this paper is to propose a methodology for enterprise resource planning (ERP) post-implementation change management to support business analysts during perfective maintenance.

The methodology draws a parallel line with engineering change management and considers the steps of mapping the dependencies among ES components, understanding the ripple effects of change, and defining metrics to quantify and assess the impact of change. The methodology is instantiated in the case of ERP systems, for which a tool has also been implemented and evaluated by ERP implementation experts.

Experts positively evaluated the proposed methodology. General design principles to instantiate the methodology in the case of systems other than ERP have been derived.

While existing ESs change management methodologies help to identify the need for change, the proposed methodology help to structure the change process, supporting the task of perfective maintenance in an efficient way.

The purpose of this study is to examine the potential impact of climate change on the built environment in four Northern Asian countries. The impact on roads and buildings infrastructure in China, Japan, South Korea and Mongolia were considered during the decades 2030, 2050 and 2090.

The study is based on a stressor-response approach, where using the analysis of 17 Intergovernmental Panel on Climate Change (IPCC) approved Global Circulation Model (GCM) scenarios, projections for impacts from flooding events, precipitation amounts and temperature were determined. The cost of the impacts, based on both maintenance and new construction considerations, were then determined. “Adapt” and “No Adapt” scenarios were incorporated to predict potential costs in each era.

Mongolia is vulnerable under the majority of scenarios and faces the greatest opportunity cost in terms of potential loss to enhancing the road stock. China is also vulnerable, but the extent of this vulnerability varies widely based on the climate scenarios. Japan is primarily vulnerable to road stock impacts, although some scenarios indicate buildings vulnerability. South Korea appears to have the least vulnerability but could still face $1 billion annual costs from climate change impacts.

Results indicate the need for proactive policy planning to avoid costly impacts later in the century.

The study illustrates the diverse affects that may occur under climate change scenarios and the potential benefit gained from understanding and planning for the projected climate impacts on the built environment.

This study aims to evaluate the impact of climate change on some specific areas of agricultural production in Quang Nam Province, including assessing the possibility of losing agricultural land owing to sea level rise; assessing the impact on rice productivity; and, assessing the impact on crop water demand.

This study used the method of collecting and processing statistics data; method of analysis, comparison and evaluation; method of geographic information system; method of using mathematical model; and method of professional solution, to assess the impacts of climate change.

Evaluation results in Quang Nam Province show that, by the end of the 21st century, winter–spring rice productivity may decrease by 33%, while summer–autumn rice productivity may decrease by 49%. Under representative concentration pathway (RCP) 4.5 scenario, water demand increases by 31.1% compared to the baseline period, of which the winter–spring crop increases by 28.4%, and the summer–autumn crop increased by 34.3%. Under RCP 8.5 scenario, water demand increases by 54.1% compared to the baseline period, of which the winter–spring crop increases by 46.7%, and the summer–autumn crop increased by 63.1%. The area of agricultural land likely to be inundated by sea level rise at 50 cm is 418.32 ha, and at 80 cm, it is 637.07 ha.

To propose adaptation solution to avoid the impacts of climate change on agriculture, it is necessary to consider about the impact on losing land for agriculture, the impact on rice productivity, assess the impact on crop water demand and other. The result of this assessment is useful for policymakers for forming the agriculture development plan.