Green Consumption Research Articles

Association of Diet Quality With Risk of Incident Rheumatoid Arthritis in the Women’s Health Initiative

BackgroundVarious foods and nutrients are linked with higher or lower risk of rheumatoid arthritis (RA), yet these associations are inconsistent across studies. Limited research has been done evaluating the association between diet quality and RA in a larger-scale prospective study on postmenopausal women. ObjectiveThe objective of this study was to evaluate the association between dietary quality and risk of incident RA in postmenopausal women. DesignThis was a prospective cohort study as part of the Women’s Health Initiative (WHI), with an average follow-up time of 8.1 years. Baseline diet was measured using a food frequency questionnaire (FFQ). Diet quality was evaluated by the Healthy Eating Index (HEI)-2015 total score. In addition, intake of food groups and nutrients that align with HEI-2015 components was assessed. Participants/settingPostmenopausal women (N = 109 591) were included in this study, which was conducted at various clinical centers across the United States with recruitment from 1993 to 1998. Women’s Health Initiative participants who were missing outcome data, had unreliable/missing FFQ data, or had RA at baseline were excluded. Main outcome measuresThe primary outcome measure was incident RA. Statistical analyses performed Multivariable Cox proportional regression analysis was performed evaluating the association of diet quality with self-reported physician-diagnosed RA after adjusting for age, race, ethnicity, education status, income, and body mass index (BMI). ResultsDuring 857 517 person-years of follow-up, 5823 incident RA cases were identified. After adjustment for multiple comparisons, compared with quartile 1, quartiles 2, 3, and 4 of the HEI-2015 total scores were associated with lower RA risks of 1%, 10%, and 19%, respectively (P-trend < .001). Greater consumption of total fruits (P-trend = .014), whole fruits (P-trend < .0002), total vegetables (P-trend = .008), greens and beans (P-trend < .0002), whole grains (P-trend = .008), and dairy (P-trend = .018) were significantly associated with lower rates of incident RA. Conversely, higher consumption of saturated fat (P-trend = .002) was significantly associated with higher rates of incident RA. ConclusionA higher-quality diet reflected by higher HEI-2015 total scores was inversely associated with incident RA in postmenopausal women.

Research on the influence of consumer Perceived Value on the purchase of new energy vehicles

In recent years, low carbon economy has gradually become a hot issue of global concern. At present, Chinese consumers are still in the initial stages of understanding and research on carbon tax. By analysing various carbon tax regimes domestically and abroad, this article employs a quantitative research methodology to explore the influence of consumer perceptions on customers' purchase of new energy vehicles. This paper concentrates on the operational models of several major carbon tax systems at home and abroad and provides a thorough overview of the setting of carbon tax schemes, risk management, and the economics of carbon trading in each country. Drawing on the experiences of foreign countries and regions in implementing carbon tax schemes, this paper offers suggestions on how China can design carbon tax policies to promote green consumption behavior among contemporary Chinese consumers.

The Role of Social Media on Green Food Consumption Intention in Hanoi, Vietnam

This study aims to discuss the role of social media in shaping consumer attitudes in the Vietnamese context. The research examines the impact of green attitude, green customer value, and social media on environmental concerns, subjective norms, and perceived green value concerning green consumers' food purchase intention. The study utilizes data from a survey conducted among 483 consumers in Hanoi, Vietnam, and adopts the Theory of Planned Behavior (TPB) as the initial framework for studying green food purchase intention. We modify and extend the TPB model by incorporating cultural, social, and personal psychological factors relevant to green food consumption. The findings of this study contribute to the understanding of the factors influencing consumer purchase intention in Hanoi, Vietnam. The results demonstrated the influence of social media on subjective norms, environmental concerns, and perceived green value, which in turn affect green food purchase intention among Vietnamese consumers. These results imply that to increase green food preferences among consumers, governments should also consider social media-based education programs to build an understanding of green food and sustainable consumption and emphasize the outstanding benefits of green products for the environment and society. In addition, marketers should pay attention to providing complete information and advertisements about green food products on social media.

Brand Silence in Protest Movements: Commercial Brands Discursive Indifference During a Social Protest in Peru

The study aims to politically analyze the narrative traits of protesting the indifference of commercial brands toward Peru’s political mobilization in November 2020 via Facebook. From a multiple-case qualitative focus, the corpus was gathered through the semiotic pertinence of representation by the isotopic saturation. The object of the study comprises 110 comments from protesters posted on the public profiles of brands that did not participate in the political protest. The pertinence of their election corresponded to the level of affinity and affection Peruvian consumers had with the brands. Based on the post-Greimasian theory, we have identified four narrative traits of protesting—exclaiming, complaining, repudiating, and wavering—over the brands. Consequently, data showed that consumers exclaimed against “their” brand, complained about the brand, repudiated the institution, and wavered over institutionality (something undefined). We identified three forms of dissemination: i) those enunciated from the Self and concerning the brands, (ii) those enunciated toward the brands, and (iii) those enunciated toward the collective self, concerning the brands. This study seeks to contribute to the literature about the narrative relationship between political consumers and brands, protests and consumption, and corporate crisis management.

Exploring Determinants of theory of Planned Behavior in Understanding Green Consumption in Organic Food Industry of Pakistan; Emphasizing Role of Environmental Knowledge and Perceived Price as Key Determinants to Organic Food Consumption

Exploring Determinants of theory of Planned Behavior in Understanding Green Consumption in Organic Food Industry of Pakistan; Emphasizing Role of Environmental Knowledge and Perceived Price as Key Determinants to Organic Food Consumption

The Promotion Effect of Green Consumption Behavior of College Students Based on Digital Era

The Promotion Effect of Green Consumption Behavior of College Students Based on Digital Era

Beyond Purchase Intentions: How Technology 4.0 Validates Green Consumer Choices and Corporate Environmental Claims

Beyond Purchase Intentions: How Technology 4.0 Validates Green Consumer Choices and Corporate Environmental Claims

Pengaruh Green Marketing dan Green Consumerism Terhadap Keputusan Pembelian Produk Ramah Lingkungan

The issue of plastic waste in Indonesia has reached alarming levels with annual production reaching 64 million tons, the majority of which ends up in the oceans, making Indonesia the second largest contributor to global marine plastic pollution after China. Increasing awareness and reducing daily waste generation are crucial to protecting the environment from the serious impacts of plastic's slow decomposition. This research employed accidental sampling with 20 to 30 respondents to investigate the influence of green marketing and green consumerism on purchasing decisions of environmentally friendly products. Data analysis included data exploration to identify patterns and trends, and Ordinary Least Squares (OLS) regression testing to evaluate the linear relationship between independent variables (green marketing and green consumerism) and the dependent variable (purchase decision). The results of multiple linear regression analysis indicate that the Green Consumerism variable (X2) has a positive regression coefficient of 0.260, although it is not statistically significant (p = 0.148), suggesting that consumer adoption of environmentally friendly behavior marginally contributes to purchasing decisions of environmentally friendly products. However, the low Adjusted R Square (0.031) indicates that the model only explains approximately 3.1% of the variability in purchase decisions. Therefore, companies need to consider other factors such as price and product quality, and integrate more holistic marketing strategies to enhance consumer preference for environmentally friendly products. Further research using more sensitive analytical methods could provide deeper insights to support more effective decision-making in dynamic markets.

Investigating college students' green food consumption intentions in China: integrating the Theory of Planned Behavior and Norm Activation Theory

IntroductionThe global trend toward consuming green food is on the rise. College students, as the future consumer base, have sparked significant interest in their inclination toward consuming environmentally-friendly foods. This paper integrates the Theory of Planned Behavior with the Norm Activation Theory to investigate the factors influencing college students' propensity to choose green foods, establishing a comprehensive model.MethodsThis study utilized online and paper questionnaires for data collection, distributing them among college students and receiving 350 valid responses. In the data analysis phase, SPSS was employed for statistical data analysis, including descriptive statistics and regression analysis, while AMOS was used for structural equation modeling.Results and discussionThe data analysis results indicate that subjective norms, behavioral attitudes, and individual norms have a significant positive influence on college students' inclination to purchase green food. Purchase intention is indirectly influenced by personal norms and behavioral attitudes through perceptions of consequences. Responsibility attribution indirectly impacts purchase intention of green food through personal norms. Personal norms are indirectly influenced by responsibility attribution through perceptions of consequences.

Host–Guest Interaction and Sustainable Consumption Behaviour on Sharing-Accommodation Platforms: Using a Big Data Analytic Approach

The rapid expansion of the sharing economy has ignited diverse perspectives regarding its sustainability implications. Nevertheless, a comprehensive study examining the influence of host–guest interactions on sustainable consumption behaviour is yet to be conducted. To fill the abovementioned gap, this research crawls online data and corresponding consumer reviews of 46,360 properties listed on Muniao Short Rent. Employing latent Dirichlet allocation (LDA) to model sustainable consumption reviews and conducting subsequent regression analysis using SPSS, this research empirically demonstrates that the host–guest interaction frequencies and positive emotions during interaction positively influence guests’ sustainable consumption behaviours within the sharing-accommodation context. This research proposes the significance of the host–guest relationship for green consumers and argues that factors such as price and house type negatively moderate the host–guest interactions and guests’ sustainable consumption initiatives.

Cross-provincial collaborative transaction that considers both the green electricity and the green certificate markets under a renewable portfolio standard policy

In the current implementation of the Renewable Portfolio Standard (RPS), various quota entities are facing challenges, including high costs and limited flexibility within a non-collaborative, single green certificate market mechanism. To address these issues, we developed a cross-provincial collaborative transaction model that considers both the green electricity and the green certificate markets. It consists of five sub-models: a green electricity production net revenue maximization sub-model, a green electricity consumption net benefit maximization sub-model, a green electricity and green certificate market categorization sub-model, a cooperative game sub-model for green electricity and green certificate buyers and sellers, and a cooperative benefits allocation sub-model. The roles of each province (i.e., green electricity and certificate buyers and sellers), along with the optimal green electricity generation, green certificate trading volume, and cost of achieving RPS objectives for each province, can be determined by utilizing the first four sub-models. Ultimately, the cooperative benefit allocation sub-model promotes cooperation among the provinces. To validate the model's effectiveness, we chose five representative provincial-level regions of China for empirical analysis. We found that the cooperative mode decreased the cost by 238.554 × 108 CNY (15.9%) compared with each province independently achieving RPS targets in a non-cooperative mode. Moreover, cooperation increased green electricity generation by 447.94 × 108 kWh (13.3%). The cooperative mode will therefore encourage provincial governments to formulate cooperative strategies for achieving RPS objectives, ultimately reducing implementation costs and increasing flexibility and effectiveness.

National Identity and the Limits of Platform Power in the Global Economy

Abstract Among the defining features of the contemporary global economy are the digital disruption of economic sectors and the accompanying political and regulatory conflicts. Across the world, multinational technology firms have mobilized consumers as a key ally in these conflicts, a critical element of the platform power they wield. In this article, I examine how non-consumer identities can limit the exercise of platform power by such firms. By synthesizing the concept of platform power with research on political consumerism and national identity, I argue that activating national identity can generate opposition to policies favorable to multinational technology firms and, in turn, curtail their ability to appeal to public support. Empirically, this article uses an online, nationally representative survey fielded in Canada. I explore the determinants of support for global regulatory cooperation and the domestic policy status quo, as well as the causal effect of consumer and national identity framing using vignette experiments across three issue areas: banking, telecommunications, and taxation. The findings reveal that activating consumer identities consistently shifts support but the effect of national identity is more variable. This article thus contributes to scholarship on the digital economic transformation and the exercise of business power in the global economy.

Promoting menstrual cups as a sustainable alternative: a comparative study using a labeled discrete choice experiment

Plastic pollution is a global issue that endangers both human health and the ecosystem. Although interest in sustainable alternatives to single-use plastics has grown, their adoption has been insufficient, and menstrual products are no exception. Disposable menstrual products, such as sanitary napkins, continue to dominate over sustainable options like menstrual cups (MCs). Although studies on women’s perceptions and attitudes toward menstrual hygiene management have abounded, there is a lack of research on the development of promotional strategies for sustainable menstrual products. This study aims to fill this research gap by investigating consumers’ decision-making process in the face of a real-life option regarding menstruation products. In this comparative study, we conducted a labeled discrete choice experiment on consumers in Japan (n = 1,929), Indonesia (n = 2,031), and France (n = 2,067) to reveal their preferences for sanitary napkins, tampons, and MCs. The respondents from each country were divided into three groups (one control group and two treatment groups with information provided). The results showed that in all countries, the information regarding the cost-effectiveness of MCs (i.e., per-use cost) was unequivocally significant, whereas information about their health and environmental benefits was not. Access to free MCs can contribute to their adoption and alleviation of period poverty in all countries, with a relatively moderate acceptance in Japan. The results also showed variations across countries in consumer characteristics (attitude toward menstruation, innovation-friendliness, and green consumption) and the use and perceptions of MCs. Hence, tailored promotional strategies should be considered for each market.

Estimation of carbon footprint of Indian households in Kalyani subdivision of district Nadia, West Bengal, India

The present study aims to assess the contribution of Indian households to the increase in carbon footprint. Hence, this cross-sectional study was conducted in the Kalyani subdivision of Nadia district, West Bengal, India. Data were collected from 610 households, comprising 299 rural and 311 urban households, to analyse energy consumption patterns for various purposes. To summarize the dependent and continuous data, descriptive statistics were employed, while for inferences, independent sample t-test, Pearson correlation and regression were used. A significant difference was observed in total annual household carbon footprint between the urban and rural households due to varied energy consumption (t = 15.60, p &amp;lt; 0.05). The urban households were emitting twice (2325.20 kgCO2e) as much as the rural ones (1125.77 kgCO2e). It can also be inferred that emission was determined by the increase in household size, income, and improvement in the standard of living. Thus, in addition to several determinants, a complex cultural system, social practices, and awareness of green consumerism should also be incorporated and studied through an interdisciplinary approach to reduce the overall household carbon footprint.

Understanding the optimal strategy of carbon labelled product advertising delivery: A dynamic differential equation analysis

In the rapidly evolving landscape of sustainable marketing, the advertising of carbon labelled products represents a critical intersection of environmental awareness and marketing strategy. Existing studies have mainly discussed optimization strategies for content and forms of advertising. Less attention has been paid to optimization strategies related to the quantity of advertising delivery. Setting an advertiser's optimal advertising intensity is a problem that has puzzled researchers for a long time. To this end, we investigate the optimal strategy for advertising delivery based on a differential equation analysis of advertising dynamics to maximize market size for advertisers with regard to carbon labelled products. We first show that the vitality index can reflect the carryover effect of advertisers, and that there exists an optimal advertising intensity to maximize market size if competition is not taken into account. We then find that current and global solutions of optimal strategies are consistent, from which we can determine the sustainability of an advertiser's carbon labelled product market by calculating the equilibrium vitality index. Moreover, we provide numerical experiments that illustrate the quantitative relationship that exists between greenness and the proportion of green consumers jointly determining the feasibility of the optimal strategy and the sustainability of advertisers in management practices. This research not only charts a course for optimal advertising strategy but also equips managers with data-driven tools to navigate the complexities of eco-conscious marketing.

2C1-4 Effective use of nudges to promote ethical consumption

2C1-4 Effective use of nudges to promote ethical consumption

Why do people purchase plant-based meat products from retail stores? Examining consumer preferences, motivations and drivers

Plant-based meats (PBMs) are being projected as novel and sustainable alternative protein sources amid rising ecological and health issues associated with traditional meat production and consumption. Notably, the plant-based meat retail market is at its nascence stage, and there remains a dire need to comprehend the meat-eater's perceived green values, attitudes, and intentions towards PBM for its commercial success. To discern the complex psychological mechanism of meat eaters' perceptions toward PBM, the current study aims to extend and integrate the theory of consumption values (TCV) and the theory of value-attitude-behavior (VAB) in the PBM context. Partial least square-based structural equation modelling was used to analyze cross-sectional data collected from a sample comprising 458 meat eaters approached through the mall intercept technique. Consumers' green perceived values (GPV) emerged as a vital background factor in influencing consumers' involvement and attitude towards PBMs. Also, consumers' involvement showed a significant partial mediating effect between their GPV and attitude towards PBM. Further, consumers' attitudes towards PBM displayed a relatively substantial positive impact on addition intention compared to replacement intention. This study provides retailers with a nuanced understanding of the value proposition of PBMs through the lens of green consumption values, which may facilitate the value-based positioning of PBM products. Further, it may help policymakers project PBMs as a novel alternative to traditional meat, which can potentially address consumers' ecological (e.g., carbon emissions, excessive land and water usage) and health concerns associated with conventional meat production and consumption.

Live streaming economy and green consumer behavior of farming products: A psycholinguistic forecasting by using social computation

From the perspective of psycholinguistics, live-streaming programs not only facilitate the accessibility of farming products for online consumers but also exert a social influence on psychological behavior. This study delves into the green behavior of online consumers regarding farming products, specifically targeting those interested in participating in live-streaming programs. By leveraging demographic information and consumer preferences, this study sheds light on online consumers' green behavior through extensive surveys. Cluster analysis is also employed to distinguish the categories of online consumer behavior and identify the underlying motivations of consumers within social networks. The probability of consumer clusters engaging with various categories of online green consumption is further examined through a Bayesian model. Additionally, the externality effect of social networks on online consumers' green behavior based on the live streaming economy is further simulated by the SIR model. Drawing on insights from psycholinguistics within the domain of live-streaming big data, this research provides profound insights for global managers aiming to gain a deeper comprehension of online consumers' green behavior within live-streaming programs showcasing farming products. Moreover, it offers critical support for the digital marketing of these farming products in the era of digital transformation.

Exploring ways to improve China's ecological well-being amidst air pollution challenges using mixed methods

Ecological well-being performance (EWP), a novel concept in sustainable development research, diverges from traditional ecological efficiency in terms of perspectives, core content, and driving factors. However, research on EWP remains insufficiently comprehensive, particularly the corresponding theoretical and methodological investigations into driving pathways. To address this gap, this study develops an “economy-environment-health” framework, incorporating air pollution and associated health losses into the evaluation system, and employs a two-stage Super-NSBM and Window DEA model for reevaluating EWP. The study further investigates the primary pathways of EWP, focusing on environmental regulations, technological innovation, and structural adjustments through both quantitative and qualitative methods. Quantitative spatial econometric analysis reveals that factors such as market-driven environmental regulations, green invention patents, and industrial and energy consumption structures significantly enhance EWP. While examining the “net effects” contributions of individual variables using spatial econometric models, the fsQCA method is employed to identify four effective driving paths for EWP from a configurational perspective. These paths are 1) technological innovation and structural adjustment under environmental regulations with public participation; 2) a combination of environmental regulation, technological innovation, and structural adjustment; 3) structural adjustment with minimal influence from environmental regulations and technological innovation; and 4) structural adjustment directed by market-incentive environmental regulations.

Embracing sustainability on Indian roads: exploring the influence of personality factors in fostering green transportation behaviour

ABSTRACT Green consumption is gaining prominence across domains to negate the ecological footprint of humans. Focusing exclusively on the green mobility segment, the study attempts to analyze the impact of ‘Big Five’ personality factors on adoption behaviour and also address the attitude-intention-behaviour gap. Data was collected from 384 green/electric vehicle owners in Karnataka, India and the results revealed that personality traits like openness, emotional stability positively and significantly impact green adoption behaviour. Further, attitude towards green vehicles successfully mediates the relationship between personality traits and adoption intention which in turn is significantly associated to adoption, extraversion being an exception. Sufficient evidence was gained to prove the attitude-intention-behaviour link in green mobility context. Segmentation and target marketing efforts suggested based on the finding would aid automakers and policymakers in driving green behaviour across the traits and achieving positive attitude towards green vehicles, a crucial antecedent of green consumption intention and behaviour.