A Strategic Marketing Framework for Emerging Out of the Climate Change Social Trap: The Case of the Fashion Industry

2021 ◽  
pp. 027614672110580
Author(s):  
Siavash Rashidi-Sabet ◽  
Sreedhar Madhavaram
Keyword(s):  
Climate Change ◽  
Theory And Practice ◽  
First Century ◽  
Strategic Marketing ◽  
Marketing Theory ◽  
Fashion Industry ◽  
Negative Consequences ◽  
Social Traps ◽  
Social Trap ◽  
The Impact

Climate change mitigation is arguably the most significant challenge of the twenty-first century. On the foundations of research on social traps by economists and behavioral scientists, this research: (1) conceptualizes the climate change social trap as the behavior of entities (firms, individuals, or social groups) favoring short-term positive consequences over long-term negative consequences of climate change for society; (2) provides a brief overview of the impact of the fashion industry on climate change; (3) develops a summary overview of research on social traps and taxonomies of solutions for social traps; (4) discusses, in detail, a strategic marketing framework built on a taxonomy developed in macromarketing; and (5) using the framework, evaluates 130 leading companies in the fashion industry with reference to their strategic marketing efforts to draw insights for emerging out of the climate change social trap. We conclude with a discussion of the implications of this research for marketing theory and practice in helping firms emerge out of social traps in general, and the climate change social trap in particular.

HOW CLIMATE CHANGE CAN INFLUENCE THE AGRICULTURE IN UKRAINE: A REVIEW

2020 ◽  
Author(s):  
N. Maidanovych ◽  
Keyword(s):  
Climate Change ◽  
Crop Yields ◽  
Soil Surface ◽  
Winter Period ◽  
Negative Consequences ◽  
Resource Saving ◽  
Impact Of Climate Change ◽  
Positive Effects ◽  
Average Annual Temperature ◽  
The Impact

The purpose of this work is to review and analyze the main results of modern research on the impact of climate change on the agro-sphere of Ukraine. Results. Analysis of research has shown that the effects of climate change on the agro-sphere are already being felt today and will continue in the future. The observed climate changes in recent decades have already significantly affected the shift in the northern direction of all agro-climatic zones of Europe, including Ukraine. From the point of view of productivity of the agro-sphere of Ukraine, climate change will have both positive and negative consequences. The positives include: improving the conditions of formation and reducing the harvesting time of crop yields; the possibility of effective introduction of late varieties (hybrids), which require more thermal resources; improving the conditions for overwintering crops; increase the efficiency of fertilizer application. Model estimates of the impact of climate change on wheat yields in Ukraine mainly indicate the positive effects of global warming on yields in the medium term, but with an increase in the average annual temperature by 2 ° C above normal, grain yields are expected to decrease. The negative consequences of the impact of climate change on the agrosphere include: increased drought during the growing season; acceleration of humus decomposition in soils; deterioration of soil moisture in the southern regions; deterioration of grain quality and failure to ensure full vernalization of grain; increase in the number of pests, the spread of pathogens of plants and weeds due to favorable conditions for their overwintering; increase in wind and water erosion of the soil caused by an increase in droughts and extreme rainfall; increasing risks of freezing of winter crops due to lack of stable snow cover. Conclusions. Resource-saving agricultural technologies are of particular importance in the context of climate change. They include technologies such as no-till, strip-till, ridge-till, which make it possible to partially store and accumulate mulch on the soil surface, reduce the speed of the surface layer of air and contribute to better preservation of moisture accumulated during the autumn-winter period. And in determining the most effective ways and mechanisms to reduce weather risks for Ukrainian farmers, it is necessary to take into account the world practice of climate-smart technologies.

Twenty-First-Century Climate Change Hot Spots in the Light of a Weakening Sun

2020 ◽  
Vol 33 (9) ◽  
pp. 3431-3447
Author(s):  
Tobias Spiegl ◽  
Ulrike Langematz
Keyword(s):  
Climate Change ◽  
Hot Spots ◽  
Climate Model ◽  
Hot Spot ◽  
Ghg Emissions ◽  
Arctic Sea Ice ◽  
First Century ◽  
Vulnerability To Climate Change ◽  
Twenty First Century ◽  
The Impact

AbstractSatellite measurements over the last three decades show a gradual decrease in solar output, which can be indicative as a precursor to a modern grand solar minimum (GSM). Using a chemistry–climate model, this study investigates the potential of two GSM scenarios with different magnitude to counteract the climate change by projected anthropogenic greenhouse gas (GHG) emissions through the twenty-first century. To identify regions showing enhanced vulnerability to climate change (hot spots) and to estimate their response to a possible modern GSM, a multidimensional metric is applied that accounts for—in addition to changes in mean quantities—seasonal changes in the variability and occurrence of extreme events. We find that a future GSM in the middle of the twenty-first century would temporarily mitigate the global mean impact of anthropogenic climate change by 10%–23% depending on the GSM scenario. A future GSM would, however, not be able to stop anthropogenic global warming. For the GHG-only scenario, our hot-spot analysis suggests that the midlatitudes show a response to rising GHGs below global average, while in the tropics, climate change hot spots with more frequent extreme hot seasons will develop during the twenty-first century. A GSM would reduce the climate change warming in all regions. The GHG-induced warming in Arctic winter would be dampened in a GSM due to the impact of reduced solar irradiance on Arctic sea ice. However, even an extreme GSM could only mitigate a fraction of the tropical hot-spot pattern (up to 24%) in the long term.

scholarly journals Student nurses’ experiences of incivility and the impact on learning and emotional wellbeing

2017 ◽  
Vol 8 (4) ◽  
pp. 102 ◽  
Author(s):  
Julie C. Vuolo
Keyword(s):  
Nursing Education ◽  
Interpretative Phenomenological Analysis ◽  
Student Nurses ◽  
Theory And Practice ◽  
Negative Consequences ◽  
Emotional Wellbeing ◽  
Face To Face ◽  
The United Kingdom ◽  
The Impact ◽  
The Invisible

Background: Incivility is the display of intimidating, rude, disruptive or undesirable behaviours. Incivility in nursing has the potential to impact on the learning environment, student wellbeing and patient outcomes. Although it is a globally recognised phenomenon, relatively little is known about it in the context of nurse education in the United Kingdom, where the students’ time is divided equally between theory and practice and a nurse mentor is allocated to each student when on clinical placement.Methods: A phenomenological qualitative design was used to explore the experiences of ten student nurses studying on a three year degree level pre-registration (pre-licensure) nursing programme. Data was collected by in-depth, semi-structured, face-to-face interviews which were tape-recorded and transcribed verbatim. Thematic analysis was conducted using Interpretative Phenomenological Analysis as a framework.Results: Student nurses can experience incivility in both classroom and clinical settings with negative consequences in terms of learning and personal wellbeing. Four superordinate (main) themes (Knowing-Not Knowing/Positioning/The Invisible Student/Distraction) were identified along with a further fifteen subordinate themes which included misuse, being nameless and feeling a burden.Conclusions: These findings add further to our understanding of incivility in nursing education and specifically the potential for incivility to impact on learning and students’ emotional wellbeing. Incivilities related to ‘the Invisible Student’ and ‘Knowing-Not Knowing’ are particularly worthy of further exploration as they reveal a hitherto unappreciated dimension of this complex, globally recognised phenomena. 

scholarly journals Probabilistic Projections of Climate Change over China under the SRES A1B Scenario Using 28 AOGCMs

2011 ◽  
Vol 24 (17) ◽  
pp. 4741-4756 ◽  
Author(s):  
Weilin Chen ◽  
Zhihong Jiang ◽  
Laurent Li
Keyword(s):  
Climate Change ◽  
Interannual Variability ◽  
General Circulation ◽  
Regional Scale ◽  
First Century ◽  
Climate System Model ◽  
Huai River ◽  
Twenty First Century ◽  
The Impact ◽  
A1b Scenario

Probabilistic projection of climate change consists of formulating the climate change information in a probabilistic manner at either global or regional scale. This can produce useful results for studies of the impact of climate change impact and change mitigation. In the present study, a simple yet effective approach is proposed with the purpose of producing probabilistic results of climate change over China for the middle and end of the twenty-first century under the Special Report on Emissions Scenarios A1B (SRES A1B) emission scenario. Data from 28 coupled atmosphere–ocean general circulation models (AOGCMs) are used. The methodology consists of ranking the 28 models, based on their ability to simulate climate over China in terms of two model evaluation metrics. Different weights were then given to the models according to their performances in present-day climate. Results of the evaluation for the current climate show that five models that have relatively higher resolutions—namely, the Istituto Nazionale di Geofisica e Vulcanologia ECHAM4 (INGV ECHAM4), the third climate configuration of the Met Office Unified Model (UKMO HadCM3), the CSIRO Mark version 3.5 (Mk3.5), the NCAR Community Climate System Model, version 3 (CCSM3), and the Model for Interdisciplinary Research on Climate 3.2, high-resolution version [MIROC3.2 (hires)]—perform better than others over China. Their corresponding weights (normalized to 1) are 0.289, 0.096, 0.058, 0.048, and 0.044, respectively. Under the A1B scenario, surface air temperature is projected to increase significantly for both the middle and end of the twenty-first century, with larger magnitude over the north and in winter. There are also significant increases in rainfall in the twenty-first century under the A1B scenario, especially for the period 2070–99. As far as the interannual variability is concerned, the most striking feature is that there are high probabilities for the future intensification of interannual variability of precipitation over most of China in both winter and summer. For instance, over the Yangtze–Huai River basin (28°–35°N, 105°–120°E), there is a 60% probability of increased interannual standard deviation of precipitation by 20% in summer, which is much higher than that of the mean precipitation. In general there are small differences between weighted and unweighted projections, but the uncertainties in the projected changes are reduced to some extent after weighting.

scholarly journals Customer Perception of CSR Activities: A Comparative Study of Finnish and Russian Consumers

2017 ◽  
Vol 7 (2) ◽  
pp. 59-83 ◽  
Author(s):  
Maxim Potepkin ◽  
Olga Firsanova
Keyword(s):  
Corporate Social Responsibility ◽  
Customer Loyalty ◽  
Marketing Research ◽  
Theory And Practice ◽  
Marketing Theory ◽  
Consumer Loyalty ◽  
Customer Perception ◽  
Corporate Social ◽  
The Impact ◽  
Customer Reaction

Abstract This study estimates the impact of corporate social responsibility (CSR) on customer loyalty based on the data collected during marketing research on consumer behavior in Finnish and Russian markets of dietary supplements. Concretely, the author examines the influence of perceived CSR on customer loyalty taking into account trust factor. A key focus of this work is a comparison of Finnish and Russian customer responses as well as investigation the “country” factor in customer CSR perception and its correlation with consumer loyalty and trust. In general, the findings show similarity of customer reaction to CSR initiatives in both countries. At the same time, the study illustrates some differences in Finnish and Russian customer perception and evaluating CSR level. Regarding practical issues, the author relates arguments for implementation CSR activities as a significant factor of forming customer loyalty in the two countries. The article gives implications for marketing theory and practice.

scholarly journals Predicting the impact of future climate change on streamflow in the Ugam River watershed

GeoScape ◽  
2021 ◽  
Vol 15 (2) ◽  
pp. 159-172
Author(s):  
Umidkhon Uzbekov ◽  
Bakhtiyor Pulatov ◽  
Bokhir Alikhanov ◽  
Alim Pulatov
Keyword(s):  
Climate Change ◽  
Assessment Tool ◽  
Human Life ◽  
Swat Model ◽  
Coupled Model ◽  
Future Climate ◽  
Future Climate Change ◽  
Negative Consequences ◽  
Water Users ◽  
The Impact

Abstract Climate change affects the environment and human life across the planet and it is expected that the negative consequences will be large, especially in developing countries, such as Uzbekistan. The objective of this study was to predict the impact of future climate change on the streamflow of Ugam watershed (Chirchik River Basin (CRB)) using the Soil and Water Assessment Tool (SWAT). The outputs of Coupled Model Intercomparison Project Phase 5 (CMIP5), in combination with Representative Concentration Pathway 8.5, were used as future climate records for the period 2019−2048. The SWAT model was calibrated and validated for the streamflow from Ugam watershed through using the observed daily flow data from 2007 to 2011. The calibrated SWAT model was used to simulate the impact of future climate change on streamflow in the Ugam River for 2019−2048. The results show that the stream discharge is expected to decrease by approximately 42% within thirty years, with a 1.4 °C increase in temperature and 286 mm decrease in precipitation. The peak point for the future period is 40.32 m3 /s in 2037 whereas the lowest discharge, predicted for 2048, accounts for 22.54 m3 /s. Our study enables to understand the impact of climate change on water resources in the Ugam river and to increase the adaptive capacity of water users and managers in the region.

scholarly journals Statistical assessment of the impact of climate change on social and demographic processes (on the example of the Yaroslavl region)

2019 ◽  
Vol 16 (6) ◽  
pp. 57-66
Author(s):  
V. V. Zholudeva
Keyword(s):  
Climate Change ◽  
Air Temperature ◽  
Crop Yields ◽  
Anthropogenic Factors ◽  
Federal State ◽  
Negative Consequences ◽  
Statistical Assessment ◽  
Impact Of Climate Change ◽  
Demographic Processes ◽  
The Impact

The purpose of this study is to analyze current global and regional climate changes, as well as a statistical assessment of the factors that cause climate change, on the one hand, and an assessment of the impact of climate parameters on the economy, agriculture and demographic processes using the example of the Yaroslavl region, on the other hand. The study was conducted on the example of the Yaroslavl region and covers the period from 1922 to the present. First of all, the article analyzes the regulatory documents on ecology and climate change. The insufficient attention of federal and local authorities to solving the above problems, the lack of regional strategies to prevent climate change and reduce its negative consequences, which leads to the increased socio-economic risks, is noted. In order to identify factors causing climate change, a correlation and regression analysis was performed. Regression models of the dependence of crop yields on the average annual air temperature and the average annual precipitation were constructed. The statistical base of the study was compiled by the data of the Federal State Statistics Service and the territorial body of the Federal State Statistics Service for the Yaroslavl Region, as well as GISMETEO data. Processing of the research results was carried out in Microsoft Excel and SPSS.During the study, it was found that in the Yaroslavl region there is an increase in average annual and average monthly air temperatures, as well as a slight increase in precipitation, which mainly occurs due to an increase in rainfall in spring and early summer.The anthropogenic factors that cause climate change, namely the burning of fossil fuels, an increase in industrial production, an increase in the number of vehicles, as well as a change in land use and deforestation, are identified and statistically substantiated.As a result of the study, it was found that changes in climatic parameters have an impact on the economy, agriculture and demographic processes, namely: – climate change has a positive effect on agricultural production. According to studies, an increase in average air temperature is a positive factor for the agricultural sector of the Yaroslavl region, as crop yields will increase with increasing air temperature. These trends need to be considered when choosing certain varieties of crops and selecting fertilizers. Increasing the level of management and the transition to more modern technologies will have a greater effect. The efficiency and productivity of agriculture, as well as the food security of the region, will depend on these decisions; – it was found that hydro meteorological factors have a negligible effect on the growth rate of gross regional product and food production; – a statistical study showed that in the Yaroslavl region the effects of climate change on demographic processes and human health are currently insignificant.The findings can be used to develop mechanisms for adaptation to climate change and can serve as a basis for further research in the field of studying the impact of climate change on socio-economic and demographic processes in the Yaroslavl region.

scholarly journals The Impact of Climate-Change-Related Disasters on Africa’s Economic Growth, Agriculture, and Conflicts: Can Humanitarian Aid and Food Assistance Offset the Damage?

2022 ◽  
Vol 19 (1) ◽  
pp. 467
Author(s):  
Go Shimada
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Panel Data ◽  
Natural Disasters ◽  
Urban Poverty ◽  
Food Assistance ◽  
Armed Conflicts ◽  
Empirical Literature ◽  
Negative Consequences ◽  
The Impact

This study analyzed the impact of climate-related natural disasters (droughts, floods, storms/rainstorms) on economic and social variables. As the Africa-specific empirical literature is limited, this study used panel data from 1961–2011 on Africa. The study used a panel data regression model analysis. The results showed that climate change-related natural disasters affected Africa’s economic growth, agriculture, and poverty and caused armed conflicts. Among the disasters, droughts are the main cause of negative impact, severely affecting crops such as maize and coffee and resulting in increased urban poverty and armed conflicts. In contrast, international aid has a positive effect but the impact is insignificant compared to the negative consequences of climate-related natural disasters. Cereal food assistance has a negative crowding-out effect on cereal production. International donors should review their interventions to support Africa’s adaptative capacity to disasters. Government efficiency has reduced the number of deaths, and this is an area that supports Africa’s adaptative efforts.

The effects of mutuality in exporter-importer relationships

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Farid Ahmed ◽  
Felicitas Evangelista ◽  
Daniela Spanjaard
Keyword(s):  
Relationship Marketing ◽  
Theory And Practice ◽  
Marketing Theory ◽  
Cross Sectional ◽  
Dyadic Data ◽  
Content Type ◽  
Central Hypothesis ◽  
Relationship Performance ◽  
The Impact

PurposeRelationship marketing has been playing an important role in the development of marketing theory and practice. Though the concept has been extensively applied in international marketing in understanding the dynamics of exporter-importer relationships, few studies have looked at dyadic data to investigate the impact of mutuality of relational variables on the exporter-importer relationships. The objective of this study is to understand the impact of mutuality of key relational variables on exporter-importer relationship performance. A dyadic model of mutuality is proposed. The model highlights the impact of balance, level and quality of perceptual bi-directionality of relational variables.Design/methodology/approachThe model was tested using dyadic data collected from exporter-importer relationships involving Australian exporters and their Southeast Asian import partners through a cross-sectional, quantitative survey. Mutuality of relationship constructs was measured using the perceptual bi-directionality (PBD) method.FindingsThe results support the central hypothesis that mutuality of relational constructs has an impact on relationship performance.Originality/valueThe study is the first to apply the perceptual bi-directionality method to measure mutuality of relational constructs in an exporter-importer setting. The study contributes to the general understanding of international business and exporter-importer relationship performance in particular.

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