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We design an experiment to investigate the influence of announced future variations in interest rates and prices on consumption decisions. In an experimental implementation of the discounted utility model, the subjects learn the entire paths of inflation and interest rates prior to deciding on a consumption path. We decompose the total change in consumption that results from changes in either interest rates or inflation rates into anticipation and impact effects. While impact effects are of similar orders of magnitude as in the model, future changes in inflation or interest rates exert substantially smaller effects on current consumption than predicted by the model.

Approximately 700 colleges and universities have committed to climate neutrality, which will require significant reductions in energy consumption. This paper aims to explore the effectiveness of an Annual Energy Challenge in curtailing electricity use by changing consumption behaviors at one liberal arts college.

From 2010 to 2014, Allegheny College (Meadville, PA, USA) ran four-week energy challenges. Electricity consumption was measured and compared to a baseline year of 2008. An alternate baseline, more granular data for 20 sub-metered buildings and historic utility bill consumption trends were further analyzed to identify any persisting change and understand the impact of behavior change separate from efficiency retrofits, changes in population and normal seasonal shifts.

Electricity consumption during the challenge period dropped an average of 9 per cent compared to the 2008 baseline and 6 per cent compared to the baseline of the 4 weeks preceding each challenge. Consumption trends changed in the years during challenge implementation compared to the years before engaging the campus community. All analyses reinforce that the challenge reduces electricity consumption. However, results must be analyzed in multiple ways to isolate for behavior change.

The analyses used to isolate energy challenge results due to behavior change are replicable at other institutions and would allow campuses to compare results and share proven strategies.

While many campuses organize energy challenges, few have published details about the results both during the challenge and continuing afterwards. Nor has a research explored the need to put results into contexts such as natural seasonal trends to isolate the impacts of behavior change.

Retailing has developed from independent merchants to multinational giants operating through global value chains, which has profoundly shaped consumption patterns in Western economies. This constant development currently consists of three global-scale change trajectories – climate change, online consumption, and technological development – that affect the retail industry. Based on this, this chapter concentrates on connecting the development paths of consumption and retailing and identifies various factors that affect the future of international retailing. The authors analyze the changes in institutional logics of international retailing by mapping the past, present, and future of the retail industry and consumption using content analysis of secondary data. The authors pay special attention to the effect of the current Covid-19 crisis on the future development of the retail industry. In the findings of this chapter, the authors recognize institutional logics changes in organizing the position of retailing as a connector of customers and producers, and the authors suggest blockchain to be an emerging new institutional order.

The purpose of this paper is to examine how labour market changes impact the change in the aggregated household consumption, which is a topic that is under-researched in Japan.

The author uses a three-step approach. The first step is a descriptive overview of the trends for cohort, age and year. The second step is to test the variation attributable to age-period-cohort interactions using APC analysis. The third step is to check if identifiable linear trend exists between the consumption changes and the labour market changes.

The analysis shows that major labour market changes per se do not contribute to household consumption adjustment. Meanwhile, the labour market conditions at the time of joining the labour force may be more important in shaping consumption during working life period than labour market changes during employment.

The cohorts are created based on birth years, which is a limitation imposed by the data availability rather than characteristics of the population group. The main reason behind the limited data points is the survey being conducted every five years and 2014 being the most recent year for which the data are available.

Research about cohort consumption in Japan is limited to the consumption composition changes or to the growing population of unmarried singles. This analysis will examine how labour market changes impact the change in the aggregated household consumption, which is a topic that is under-researched in Japan. In the analysis, the author uses the Python APC model and Python statsmodel OLS regression, providing the notebooks with code and full results in Appendices.

The purpose of this paper is to fill a knowledge gap by examining the changes in fruit and vegetable consumption of Chinese households.

Using 1993 and 2001 household survey data from three selected provinces in China, the authors estimated a quantile regression (QR) model to demonstrate how changes of fresh fruit and vegetable consumption over time may differ across regions, and additionally, how these changes may differ over the entire distribution.

Results show significant increases in fresh fruit consumption for all provinces; in addition, the pattern of changes over time differs across the entire distribution. In contrast, significant decreases of fresh vegetable consumption are evident, and results are robust across regions; however, the disparities of fresh vegetable consumption across regions are not significant.

The results may shed some light on the national food policy. First, any food policy that may affect prices of fresh fruits and vegetables will likely affect households in lower percentiles more than those in upper percentiles. In addition, based on the findings, households in Guangdong may have a higher risk of inadequate fruit consumption. Lower level consumption of fruits in Guangdong may be caused by its relatively high prices of fruits and perhaps the shifting consumption pattern to a more meat‐based diet as income increases.

There has been considerable interest in estimating food demand structure in China due to its huge market for food products. However, little is known about the fruits and vegetables products. In addition, most of the previous studies used the linear regression‐type model for analysis, which fails to capture the effects of the exogenous factors on the entire distribution. To fill the knowledge gap, this paper uses a QR model with the different‐in‐difference method to examine the changes in fruit and vegetable consumption of Chinese households.

The purpose of this paper is to investigate the evidence for a positive correlation between increased consumption of organic products and potential climate change mitigation via decreased consumption of meat and it is discussed to what extent organic consumption is motivated by climate change concerns.

A fixed effects model together with a factor analysis and ordinary least square are used to analyse household purchase data for 2,000 households in 2006-2010 combined with survey questionnaire data from 2008.

A small but statistically significant correlation between increasing organic budget shares and decreasing meat budget shares is found. People include food-related behaviour such as the purchase of organic food and reduced meat consumption as ways to mitigate climate change. However, other behavioural modifications such as reduction of car usage and household heating are perceived as more important strategies.

Other food-related mitigation strategies could be investigated. The climate effect of different diets – and how to motivate consumers to pursue them – could be investigated. Individual as opposed to household data would supplement the analyses.

Demand-side policies aiming at climate-friendly consumption could be a central factor in combating climate change. Already, food-related mitigation strategies such as lowered meat consumption are established practices among a group of organic consumers. As some consumers believe that climate change can be mitigated by consuming organic food, the authors propose that this is taken into account in the development of organic farming.

The authors propose a shift from analysing the climate-friendliness of production to addressing the climate-friendliness of consumption using consumption of organic food as a case. The authors link stated concerns for climate changes with actual food-related behaviour.

This study aims to discover clothing consumption shifts and explore the effect of consumer resilience in changing clothing consumption patterns or establishing new clothing consumption routines after experiencing disruptions caused by the Covid-19 pandemic.

A two-phase multi-method approach was employed. The first phase of qualitative inquiry was conducted to identify clothing consumption shifts using a content mining approach on a text data sample of 17,195 tweets posted from 1 January to 30 September 2020. The second phase of the quantitative study was conducted to explore consumer resilience's effect on clothing consumption shifts based on a collected national sample of 418 respondents through an online survey.

This study identified clothing consumption changes including value shifts, style shifts and spending shifts. It was also found that resilient consumers care about a company's ethical practices and value the quality instead of the number of items in their wardrobe. Consumers spend more time wearing comfortable clothing and are used to the working-from-home lifestyle.

This study explored approaches to making use of social media data for a better understanding of consumers' clothing behaviour. Also, this study attempted to explore and understand clothing consumption practices during and post the Covid-19 global pandemic, focusing on identifying shifts that might last longer for fashion businesses to explore growth opportunities.

This study aims to provide a better understanding of the behaviour of wine consumers in a completely new and unexpected setting, that is, a forced lockdown due to the COVID-19 pandemic. It seeks to explain consumer decisions and the probability of changes occurring in wine expenditure compared to a normal situation.

The empirical analysis, conducted on a representative sample of Iberian consumers and based on the random utility theory, consists in the application of a multinomial logit model, setting the “usual” pattern of expenditure as a baseline category.

The results show that the coronavirus pandemic could have changed alcohol drinking habits. Consumers generally spent less on wine during the lockdown, maybe due to the uncertainty regarding their future income and professional situation. Those people more likely to spend more on wine were those who increased their wine consumption during the lockdown, those who drank for romantic purposes, those who purchased less wine in supermarkets but more online, those who used a wine app and those living in urban areas. The increased consumption of other alcoholic beverages also increases the probability of spending less than usual on wine. Additionally, the absence of certain reasons for drinking wine other than social purposes, such as wine and food pairing, its taste and relaxing effects, together with the previous consumption pattern leads to a decrease in the probability of spending less per bottle.

This paper makes a significant contribution to the understanding of the determinants of wine consumption in a very abnormal setting, an imposed lockdown and provides important policy implications. The findings show that managers and policymakers should pay attention to the different influence of variables related to behaviour and consumption patterns that may contribute to an increase in the demand for less expensive wines. Specifically, they should focus on new consumption patterns that may arise, adapting the supply chain and defining appropriate marketing strategies to fill new market segments.

The purpose of this paper is to evaluate recent changes made by Australian consumers in their consumption of beef, chicken, pork and lamb, as well as the factors motivating both decreased and increased consumption of each type of meat. Reasons for meat-avoidance are also examined.

An online questionnaire was completed in July 2016 by two Australian samples comprising: adults from the general population; and vegetarians. Data were analysed for 287 meat consumers and 82 meat avoiders. Descriptive statistics and results of multinomial logistic regression models are presented.

Meat consumers most commonly reported reducing consumption of beef in the last 12 months (30 per cent); followed by lamb (22 per cent), pork (14 per cent) and chicken (8 per cent). The following factors were associated with reductions in meat consumption: concerns regarding price and personal health; age and household income; and food choice motivations related to personal benefits, social factors and food production and origin. Main reasons motivating meat-avoidance were concerns regarding animal welfare, health and environmental protection.

This is the first Australian study providing national-level insight on how and why meat consumption patterns are changing. Reasons for changes are examined through an anti-consumption lens, investigating rationale for avoiding, reducing and increasing consumption. This provides a more comprehensive understanding of meat consumption and anti-consumption decisions, which are becoming increasingly complex. Insights on the psychologically distinct motivations underpinning avoidance, reductions and increases in meat consumption can inform the development of strategies aimed at promoting a societal-shift towards consumption of more sustainable dietary protein sources.

The purpose of this paper is to analyze how changes toward sustainable consumption of electric energy [1] are learned in the workplace, the paper uses a practice-based approach to organizational learning. This paper focuses on the workplace as a rich environment where social learning is not limited to individuals but is also rooted in the community of practitioners at an organizational level.

This paper used participative action research through interviews, two focus groups and observations. Departing from the interventions, this paper identified the elements of the practice of energy consumption. This paper further altered elements to intentionally promote the reconfiguration of such practice toward sustainable patterns among the working group.

The results show that the goal of promoting sustainability through changes in the individual and collective actions and understandings may be achieved through sharing knowledge and keeping knowledge alive within the practices of a community; embedding knowledge in material practices and innovating as an ongoing process. During the research, this paper observed that employees became more aware of sustainable consumption and such self-consciousness prompted behavioral changes in the workplace. Likewise, the new material arrangements adopted in the work environment nudged sustainable energy consumption, which required lower levels of awareness.

This paper contributes to sustainability studies by providing more information on how the learning of sustainable energy consumption happens in the level of social practices. It also contributes to workplace studies by showing that changes in materials, meanings and competences interwove with new dynamics to reshape the practice, foreshadowing more lasting changes toward sustainability.