How can we solve the puzzle of strategic climate management and appreciate its long-term effects?

2019 ◽  
Vol 32 (7) ◽  
pp. 687-708 ◽  
Author(s):  
Marcelo Berbone Furlan Alves ◽  
Ana Beatriz Lopes de Sousa Jabbour ◽  
Enzo Barberio Mariano

Purpose The purpose of this paper is to address the perceptions of managers in large companies located in Brazil regarding the long-term and short-term benefits of adopting strategic actions to mitigate and adapt to climate change. Design/methodology/approach Based on an empirical analytical method, this paper examines interviews conducted with senior managers of leading companies located in Brazil to identify their perceptions of adopting strategic actions toward mitigating and adapting to climate change. Findings The key results are as follows: the most commonly perceived long-term benefit was operational improvement, based on the improved energy efficiency of operations; strategic management of aspects affected by climate change can make managers more aware of the benefits derived from the decisions taken; and a short-term view and aversion to uncertainty can lead to failures in strategic management, limiting the effectiveness of actions for mitigating and adapting to climate change. Originality/value This paper contributes to the literature on the topic of climate change by presenting evidence that adaptation and mitigation measures can increase organizational managers’ perception of long-term benefits, and that climate change management structures guide managers to make the transition to a low-carbon economy.

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Wenjuan Yang ◽  
Rongqin Zhao ◽  
Xiaowei Chuai ◽  
Liangang Xiao ◽  
Lianhai Cao ◽  
...  

AbstractClimate change has emerged as one of the most important environmental issues worldwide. As the world’s biggest developing country, China is participating in combating climate change by promoting a low carbon economy within the context of global warming. This paper summarizes the pathways of China’s low carbon economy including the aspects of energy, industry, low carbon cities, circular economy and low carbon technology, afforestation and carbon sink, the carbon emission trading market and carbon emission reduction targets. There are many achievements in the implementation of low carbon policies. For example, carbon emission intensity has been reduced drastically along with the optimizing of energy and industry structure and a nationwide carbon trading market for electricity industry has been established. However, some problems remain, such as the weakness of public participation, the ineffectiveness of unified policies for certain regions and the absence of long-term planning for low carbon cities development. Therefore, we propose some policy recommendations for the future low carbon economy development in China. Firstly, comprehensive and long-term planning should be involved in all the low carbon economy pathways. Secondly, to coordinate the relationship between central and local governments and narrow the gap between poor and rich regions, different strategies of carbon emission performance assessment should be applied for different regions. Thirdly, enterprises should cooperate with scientific research institutions to explored low carbon technologies. Finally, relevant institutions should be regulated to realize comprehensive low carbon transition through reasonable and feasible low carbon pathways in China. These policy recommendations will provide new perspectives for China’s future low carbon economy development and guide practices for combating climate change.


Significance Landslides and flooding the length of the Pacific coast of Peru have caused widespread damage to housing and infrastructure, revealing the vulnerability of the country’s largest cities to natural disasters. For President Pedro Pablo Kuczynski’s administration, the crisis brings short-term political respite, but also new problems of how to respond effectively to the social suffering caused. Impacts Responding to the crisis will involve reconfiguring this year’s budget, particularly increasing public investment. Spending priorities in other areas will make it hard to grapple with long-term preventative work. As one of the world’s most exposed countries to climate change, the costs of adaptation will be large.


2014 ◽  
Vol 40 (4) ◽  
pp. 376-394 ◽  
Author(s):  
Abdul Rahman ◽  
Prabina Rajib

Purpose – The purpose of this paper is to test the long-term effects of price and volume with the help of Downward Sloping Demand Curve (DSDC) hypothesis, and also the short-term price and volume effects with the help of Price Pressure Hypothesis (PPH) for the index revisions on the S&P CNX Nifty 50 index. Design/methodology/approach – In order to report the long-term and short-term effects, the current study reviews two testable hypotheses, namely, DSDC hypothesis and PPH. The study has used the event study approach by including GARCH (1, 1) conditional variance in the market model. Findings – The results report that, the added stocks experienced a significant increase in price and volume on the effective date; whereas the deleted stocks experienced significant volume levels and insignificant price levels on the effective date. Accordingly, the study finds support in favor of PPH. Research limitations/implications – The study could not find evidence to support the most studied DSDC hypothesis. Practical implications – Index reorganization presumably affects the fund managers, domestic as well as international investors. As a result, studying the effect of index changes is a subject of attention to academicians and investors alike. Originality/value – The study contributes to the body of knowledge on index inclusion and exclusion effects by providing Indian evidence on long-term and short-term price and volume effects, and also documenting contrary results to the previous Indian and global research works.


2020 ◽  
Vol 27 (1) ◽  
pp. 121-153 ◽  
Author(s):  
Georgeta M. Simu ◽  
Jeanne Atchana ◽  
Codruta M. Soica ◽  
Dorina E. Coricovac ◽  
Sebastian C. Simu ◽  
...  

In the present work, recent data on the sources, occurrence and fate of human-use pharmaceutical active compounds (PhACs) in the aquatic environment have been reviewed. Since PhACs and their metabolites are usually present as mixtures in the environment at very low concentrations, a particular emphasis was placed onto the PhACs mixtures, as well as on their short-term and long-term effects against human and environmental health. Moreover, a general overview of the main conventional as well as of the latest trends in wastewaters decontaminant technologies was outlined. Advantages and disadvantages of current processes were also pointed out. It appears that numerous gaps still exist in the current knowledge related to this field of interest, and further studies should be conducted at the global level in order to ensure a more efficient monitorisation of the presence of PhACs and their metabolites into the aquatic environment and to develop new mitigation measures.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ivo De Loo ◽  
Pieter Kamminga

PurposeDuring choir rehearsals, a conductor continuously holds choir members accountable for what they do and how they sing. Hence, members are held accountable through action. This allows a conductor to emphasize his/her expertise and underline his/her authority. Choir members typically respond in certain ways when this is done, for instance by commenting on the feedback they receive or by trying to improve their singing. The interplay between these accounts, how they develop over time, and what they (do not) accomplish in terms of human relatedness are the focus of this study. We use Bauman's (1993) conceptualization of social space to investigate these issues.Design/methodology/approachBy providing reasons for their conduct and behaving in a certain way, a conductor and choir members, but also a choir's management, can alter their position in social space. Thereby, they solidify or change how they relate to other individuals in the choir. Bauman assumes that processes of social spacing require so-called “misunderstandings”. We examine seven misunderstandings that occurred in a particular rehearsal of a top-level amateur choir, analyzing their impact on human relatedness. Video analysis methods, interviews and photo-elicitation are the main research methods used.FindingsWe find both short-term and long-term effects of misunderstandings on human relatedness, and offer two extensions of Bauman's (1993) conception of social space. Firstly, we assert that there is a reflective side to processes of social spacing that needs to be taken into account when changes in human relatedness are discussed. Secondly, we find that the emotional impact of accountability on how individuals behave ought not to be underestimated, as this can have lasting effects on how people relate to one another.Originality/valueThis research makes two contributions to the extant literature. It is shown how accountability through action unfolds when people engage in leisurely activity, and how this affects the way they relate to one another – in sometimes unintentional and unpredictable ways. It also extends a well-known theoretical framework on social space that has seen little application in the accounting literature. This framework is adapted so that it may be used more fruitfully in future accounting studies.


Author(s):  
Xing Wang ◽  
Zhongqi Fan ◽  
Ying Zhang

Co-integration and Causality was built to conduct studies on causality relation between carbon intensity and coal consumption leading to providing important basis for the transition to a low carbon economy. The EG two-step method was performed to study the relation between carbon intensity and coal consumption of China during 1990-2015 and the co-integration and Granger test was constructed to build up the co-integration and error correction models for analysis of the interaction between carbon intensity and coal consumption. The results showed that in long term there is a stable co-integration relation and a positive correlation between carbon intensity and coal consumption; whereas fluctuations exist in short term and there is a one-way Granger causality of carbon intensity with respect to coal consumption.


2010 ◽  
Vol 152 (3) ◽  
pp. 631-641 ◽  
Author(s):  
Jean-Yves Barnagaud ◽  
Pierre André Crochet ◽  
Yann Magnani ◽  
Ariane Bernard Laurent ◽  
Emmanuel Menoni ◽  
...  

Author(s):  
Jesse M. Keenan

Purpose This paper aims to explore the conceptual, tactical and institutional tensions between short-term and long-term engagement of humanitarian actors in the built environment, as framed through disaster resilience and transformative adaptation, respectively. The paper seeks to synthesize a more resolute understanding of the limits and challenges associated with each concept in the advancement of analytical and practical clarity. Design/methodology/approach This commentary paper is based, in part, on a literature review in disaster resilience, humanitarian design and planning and climate change adaptation scholarship. Findings This commentary paper highlights some of the critical weaknesses associated with a disaster resilience framing of humanitarian design and planning in the built environment. Originality/value The value of this viewpoint paper is to challenge the short-term, single equilibrium applications of disaster resilience in favor of longer-term perspectives associated with transformative adaptation. The intent is not to highlight a conceptual inferiority but to position these concepts as point and counter-point with the potential for complimentary and conflicting applications.


2020 ◽  
Vol 3 (1) ◽  
Author(s):  
L. A. Mansfield ◽  
P. J. Nowack ◽  
M. Kasoar ◽  
R. G. Everitt ◽  
W. J. Collins ◽  
...  

AbstractUnderstanding and estimating regional climate change under different anthropogenic emission scenarios is pivotal for informing societal adaptation and mitigation measures. However, the high computational complexity of state-of-the-art climate models remains a central bottleneck in this endeavour. Here we introduce a machine learning approach, which utilises a unique dataset of existing climate model simulations to learn relationships between short-term and long-term temperature responses to different climate forcing scenarios. This approach not only has the potential to accelerate climate change projections by reducing the costs of scenario computations, but also helps uncover early indicators of modelled long-term climate responses, which is of relevance to climate change detection, predictability, and attribution. Our results highlight challenges and opportunities for data-driven climate modelling, especially concerning the incorporation of even larger model datasets in the future. We therefore encourage extensive data sharing among research institutes to build ever more powerful climate response emulators, and thus to enable faster climate change projections.


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