An innovative analytical framework for energy consumption behavior: A study based on beijing households.

Residents' energy consumption behavior has significant impacts on the achievement of carbon reduction targets and the effectiveness of related policies. Up to now, there has not been a complete framework that can accommodate internal psychological factors and external environmental factors. Based on the Planned Behavior theory and Value-Belief-Norm theory, this paper has added economic factors, policy impact, and convenience of consumption as important external environmental factors into a proposed model; in addition, knowledge level, behavioral expectations, and consumption habits are incorporated as new internal psychological indexes to construct a expanded framework. The framework integrates both internal psychological and external environmental factors, enriching and deepening the psychological foundation of behavioral analysis. After performing outlier detection, confirmatory factor analysis, and other steps on samples obtained from a questionnaire survey, the results of the framework fitting data show that it has high explanatory power for residents' energy consumption behavior, which is significantly better than the existing models. Furthermore, the new critical path that determines Beijing residents' energy consumption behavior is obtained by using the framework. In summary, this paper presents theoretical and empirical foundations for designing and enhancing low-carbon policies.

Policy, innovation, market or behavior driven effects: Energy green transition and environmental management in Chinese heterogeneous cities.

Energy green transition (EGT) is currently one of the main measures for countries around the world to address the contradiction between economic growth and increasingly deteriorating environmental and climate issues. Cities are the center of energy consumption. The key to EGT lies in urban energy green transition. Therefore, the focus of this study is on the driving mechanism of urban EGT. Firstly, the spatial-temporal characteristic of EGT in Chinese heterogeneous cities is analyzed by using methods such as gravity model. Secondly, the possible paths includes policy driven, innovation driven, market driven, and behavior driven for urban EGT are discussed through theoretical analysis. Finally, combined with panel data of 236 Chinese cities in 2007-2022, this study empirically analyzes the complex driving mechanism of urban EGT. Results show that: (1) The EGT in Chinese cities is continuing. From the perspective of urban heterogeneous, EGT in 1-tier and 2-tier cities is significantly faster than that in 3-, 4-, and 5-tier cities. The EGT speed in eastern cities is the fastest, while that in northeastern cities is the slowest. The difficulty of EGT in energy resource-based cities is actually the greatest. From the perspective of spatial features, the spatial center of EGT in Chinese cities generally shows a changing trend from northwest to southeast. (2) Policy driven, innovation driven, market driven, and behavior driven constitute the complex driving mechanism of urban EGT, and policy driven is the primary driving force for this round of EGT. (3) Positive effect of economic development level and education level improvement on EGT in Chinese cities is significant while resource endowment and population agglomeration level exhibit significant inhibitory effects. (4) There are significant differences in the core driving force for EGT in heterogeneous cities. Both policy driven effect and market driven effect have the highest impact in 1- and 2-tier cities. Innovation driven effect, market driven effect, and behavior driven effect are only significant in eastern and central cities. In energy resource-based cities, innovation driven effect of green innovation is not significant. This study can assist government departments better in formulating relevant policies to support energy transition, promote technological innovation, design market mechanisms, and guide energy consumption behavior.

The Empty-Nest Power User Management Based on Data Mining Technology.

With the aging of the social population structure, the number of empty-nesters is also increasing. Therefore, it is necessary to manage empty-nesters with data mining technology. This paper proposed an empty-nest power user identification and power consumption management method based on data mining. Firstly, an empty-nest user identification algorithm based on weighted random forest was proposed. Compared with similar algorithms, the results indicate that the performance of the algorithm is the best, and the identification accuracy of empty-nest users is 74.2%. Then a method for analyzing the electricity consumption behavior of empty-nest users based on fusion clustering index adaptive cosine K-means was proposed, which can adaptively select the optimal number of clusters. Compared with similar algorithms, the algorithm has the shortest running time, the smallest Sum of the Squared Error (SSE), and the largest mean distance between clusters (MDC), which are 3.4281 s, 31.6591 and 13.9513, respectively. Finally, an anomaly detection model with an Auto-regressive Integrated Moving Average (ARIMA) algorithm and an isolated forest algorithm was established. The case analysis shows that the recognition accuracy of abnormal electricity consumption for empty-nest users was 86%. The results indicate that the model can effectively detect the abnormal behavior of empty-nest power users and help the power department to better serve empty-nest users.

A new perspective to promote sustainable low-carbon consumption: The influence of informational incentive and social influence.

In the era of internet-based information, how to promote sustainable low-carbon consumption by residents through information incentives and social influence is a pressing question that needs to be solved urgently. This study develops an explanatory model to explain how information incentives and social influence affect sustainable low-carbon consumption by residents. Data were collected from residents by large-scale online surveys in China. Partial least squares (PLS) regression was used to evaluate the model in its theory-mediated model scope to make it better than multiple regression. The empirical results show that purchase behavior, daily use behavior, waste disposal behavior, and public participation behavior define sustainable low-carbon consumption behavior; information incentives and social influence are two important predictors for low-carbon consumption behavior; at the level of information motivation, emotional information has a greater impact on low-carbon consumption behavior than rational information; and at the level of social influence, the influence of peer imitation is greater than that of endorsements and social norms. This study provides interesting insights into the important role of information and social networks for promoting low-carbon consumption behavior. Finally, we propose an information-based guidance policy to promote low-carbon consumption behavior based on social influence.

How does government regulation shape residents' green consumption behavior? A multi-agent simulation considering environmental values and social interaction.

Green consumption is an inevitable choice to alleviate environmental pressure and promote sustainable development. Residents' green consumption behavior decisions are influenced by a combination of external government regulation and internal consumer psychological factors. This study incorporated regret theory and environmental values into a multi-agent model to simulate residents' green consumption behavior under various government regulation scenarios. The results show that in the absence of government regulation, residents have little motivation to actively choose green consumption. In terms of a single policy, government subsidy is more conducive to promoting green consumption behavior than government penalty, and the evolutionary trend of group decision making becomes more stable with increased policy intensity. However, neither of the two single regulatory policies can fully promote residents' environmentally conscious consumption decisions. Therefore, a combination of "carrots" (government subsidy) and "sticks" (government penalty) is required to motivate a significant increase in the number of residents who choose green consumption behavior. In addition, the intensity of social interaction between residents is found to influence the stability of behavioral evolution, with higher intensity (i.e., more neighbors) resulting in greater fluctuations in group behavior but driving more residents toward green consumption. These findings can provide a theoretical reference for policy formulation of green consumption behavior.

The value of public service broadcasting in Japan during COVID-19 pandemic: An analysis of WTP by Blinder-Oaxaca decomposition.

The first case of COVID-19 in Japan was detected in January 2020, and the first outbreak occurred between March and May of that year. In this study, changes in the willingness to pay (WTP) for public service media (PSM) were analyzed using data from public opinion polls conducted before and after the period of the first outbreak. A comparison of the samples obtained via Blinder-Oaxaca decomposition revealed the importance of and satisfaction with the news that viewers felt, and their viewing frequency increased after the pandemic, as did WTP. The findings can be interpreted as an increase in the demand for news as the infection spread. The analysis also showed that the WTP for PSM decreased a little owing to the reduction in sports programs. The results demonstrate the importance of PSM in moments of crisis, such as pandemics.

A blessing in disguise-The effect of China's Covid-19 health code system on older people's mobile payment usage.

In early 2020, China launched a health code system to combat the spread of Covid-19. The required health code led to a drastic uptake of smartphone usage among older residents. This paper uses rich commercial data from the Zhejiang Province of China to track the change in consumption among the older population. The paper finds that older people significantly increased spending after switching to mobile payment. The paper contributes to the literature by identifying the unexpected windfall from the effect of the health code mandate on the older population and demonstrating that digital payment works well in the older population.

Assessing the impact of green nudges on ozone concentration: Evidence from China's night refueling policy.

Ozone (O3) pollution poses health risks and premature mortality, and gas stations are one of the largest sources of urban volatile organic compounds (VOCs, the main precursor to O3). This paper investigates whether the government's call for night refueling, which can be regarded as a green nudge, can guide changes in consumer behavior and consequently improve environmental quality. Using a difference-in-differences (DID) estimation and weekly monitoring site air quality panel data, we analyze the effect of the Night Refueling Preferential Policy on O3 concentrations. We find that the policy can reduce O3 concentrations by 10% by encouraging consumers to refuel at night. The reduction in O3 has brought great benefits to human health, leading to a 4-5‰ reduction in non-accidental mortality and a 6-8‰ reduction in cardiovascular mortality in Jiangsu province. The economic benefits of this policy would be approximately 62-189 billion Chinese Yuan (CNY) if it were implemented nationwide. The findings of this study suggest that the government can influence consumer behavior to promote environmental quality.

Promoting the adoption of residential water conservation behaviors as a preventive policy to sustainable urban water management.

As concerning with water insecurity driven by water scarcity threatens the lives and livelihoods of humanity worldwide, urban water demand management is focused on promoting residential water conservation behaviors (WCBs) as a critical policy response to water scarcity. However, urban water conservation initiatives cannot be successful unless households involve in residential WCBs voluntarily by adopting water curtailment and/or water-efficiency actions. Thus, understanding motivations and mechanisms underlying accepting these two types of WCBs and interpreting their distinctions are primary policy considerations to make sustainable water consumption behaviors. Hence, the purpose of this research was twofold: (1) To explore intentions to household adoption of water curtailment and water-efficiency actions, key corresponding determinants, and distinctions between them; and (2) To evaluate the capability and robustness of the Health Belief Model (HBM) to explain residential WCBs. The present research design was a cross-sectional survey conducted in Tehran, Iran. The outcomes from structural equation modeling indicated that: (1) Water curtailment intention was solely determined by self-efficacy and perceived benefits; (2) In addition to self-efficacy and perceived benefits, perceived severity, cues to action, and perceived barriers were significantly related to water-efficiency intention; (3) While only perceived susceptibility was not a significant determinant for water-efficiency intention, perceived susceptibility, perceived severity, perceived barriers, and cues to action could not significantly explain water curtailment intention; (4) Self-efficacy also emerged as the strongest predictive variable behind intentions to adopt both WCBs; (5) The perceived barriers had a negative significant relationship only with water-efficiency intention; and (6) The HBM could explain 72% and 61% of the variance in households' intentions to adopt water curtailment and water-efficiency actions, respectively. These outcomes supported that the HBM could propose a reliable and practical heuristic theoretical framework to predict residential WCBs. Moreover, the findings confirmed significant differences among socio-psychological factors behind intentions to household adoption of both WCBs, which need to be addressed. The research results introduced numerous implications from theoretical and policy standpoints for improving residential WCBs.

Protective consumption behavior under smog: using a data-driven dynamic Bayesian network.

In the midst of the deteriorating air pollution and collective stress, people pay close attention to risk mitigation measures such as keeping indoor and purchasing anti-smog products. Through impact evaluations, factors regarding health protective behavior can be identified. However, limited research is available regarding probabilistic interdependencies between the factors and protective behavior and largely relies on subjective diagnosis. These concerns have led us to adopt a data-driven static Bayesian network (BN) and Dynamic BN model to help explore multidimensional factors that may influence the public's health protective behavior of buying anti-smog air purifiers and examine the dependencies among network nodes. Using the city-level aggregate data from an online shopping platform, the results shed new light on relationships existing among 11 factors and protective behavior of buying air purifiers. Furthermore, taking into account the dynamic nature of protective behavior, we add time-related factors on the basis of static BN to construct the dynamic BN model. Results indicate that PM2.5 concentration and product price are the two leading factors affecting the consumption behavior for air purifiers. Additionally, media-related factors play an important role in the consumption behavior. This study contributes to the fields of impact evaluation of protective consumption behavior analysis and links environment risk with public consumption by identifying key factors.

How does risk perception of the COVID-19 pandemic affect the consumption behavior of green food?

Attention to health is on the rise with the global pandemic of COVID-19, especially in food security. Green food is viewed as a healthy, safe, and nutritious food, which plays a significant role in enhancing immunity. This study aimed to investigate how risk perception affects the consumption behavior of green food. Risk perception and health awareness were added to the original model based on the extended theory of planned behavior. And an online survey about the influence of COVID-19 on consumers' green food consumption behavior was conducted with 612 valid respondents recruited. The results indicate that risk perception has a positive effect on both consumption intention and behavior. The mediating effect analysis shows that risk perception influences green food consumption intention by improving people's attitudes, subjective norms, and health awareness. These findings can not only help clarify the relationship between green food consumption behavior and the risk perception of COVID-19 but also provide some valuable implications for policymakers and marketers in promoting green food.

Eating green for health or social benefits? Interactions of attitudes with self-identity on the consumption of vegetarian meals among U.S. and Chinese college students.

Encouraging greater consumption of vegetarian foods could be a strategy to improve plant-based food intake among non-vegetarians. Prior research on vegetarianism has focused mostly on people's motivations to be a vegetarian. However, the factors that motivate non-vegetarians to consume vegetarian meals remain largely unknown. The current research tested associations between attitudes, self-identity, and vegetarian meal consumption among 746 U.S. college students and 484 Chinese college students. Two types of attitudes were assessed: attitudes towards vegetarian food (ATF), which represents the personal benefits (including healthiness, tastiness, and enjoyableness) and attitudes towards people who are vegetarians (ATP), which represents the social benefits (perceived as being environmentally friendly, nice, and good-looking). Results showed that U.S. college students were more likely to be either vegetarians or non-vegetarians, while more Chinese college students tended to report being semi-vegetarians. In both samples, ATF and ATP were positively associated with self-identity and vegetarian meal consumption. Moderation analyses suggested that associations between attitudes and consumption were significant only among people who do not hold a definite self-identity as a vegetarian. In addition, ATP was significantly associated with vegetarian meal consumption among U.S. non- and semi-vegetarians alike, but among Chinese non-vegetarians only. These findings suggest that self-identity and cross-cultural differences are important to consider in promoting consumption of vegetarian meals through improving the public's attitudes towards vegetarian food and vegetarians.

Smiling faces on food packages can increase adults' purchase likelihood for children.

Manufacturers often include smiling faces on food packages, especially those targeted towards children. Prior research suggests that anthropomorphized images in general, and smiling faces in particular, are an effective marketing tool that encourage food choice and consumption among children. However, it is not clear how adult consumers, who often make food purchases for children, respond to smiling faces on packaging when making decisions for a child recipient. The results of four experiments show that food packages with (vs. without) smiling faces activate child-related thoughts which leads to expectations of making a child happy with the food and ultimately greater purchase likelihood for the child recipient. The serial effects of smiling faces on purchase likelihood through child-related thoughts and the expectations of a child's emotional reaction are robust to an array of products with more and less appealing flavors. Further, a smile line in the absence of eyes does not catalyze the same serial mechanism. Overall, our findings suggest that marketers should exercise caution when utilizing smiling faces on food packages, especially when packages contain unhealthy foods; and, consumers should be aware of the effects that this seemingly innocent packaging feature can have on their product responses.

What pandemic inflation tells: Old habits die hard.

COVID-19 has led to changes in individuals' consumption habits, which will cause the calculation of inflation based on the average consumption basket to give distorted information. Using debit and credit card spending data of Turkey, we build CPI weights and compute an alternative pandemic consumption basket price index for Jan 2020-Feb 2021. Our findings show that the pandemic inflation is higher than the official inflation rate during the first lockdown, suggesting a behavioral change in consumption. However, in the reopening period, old habits come back. During the second lockdown, the difference between the pandemic and the official inflation rates is trivial in comparison with the first lockdown.

Environmental impact of express food delivery in China: the role of personal consumption choice.

The online food ordering business in China is developing rapidly in recent years with considerable environmental impacts. However, the impacts caused by the express food delivery and the differences between the regions with different economic levels have seldom been quantified. Changing personal consumption behavior might help to reduce such impacts. But to what extent personal consumption changing could alter the environmental impacts caused by express food delivery remained uncertain. Thus, we have conducted a quantitative study based on the data collected from a 45-persons survey to determine the environmental impacts caused by the express food delivery in the different regions of China. Additionally, the reducible environmental impacts were estimated by establishing a scenario of personal consumption behavior changing. The results showed that each express food delivery order would generate 111.80 g CO2 emission equivalent on average. Most (86%) of the CO2 equivalent of the express food delivery came from the food packages. Compared to the orders in the second-class and third-class cities, the orders in the first-class cities had a significantly higher CO2 equivalent due to the greater use of food packages. The results also demonstrated that by walking to take the food in the restaurants nearby (< 1 km), 68% of the CO2 equivalent derived from the express food delivery could be reduced. People's willingness to change consumption behavior plays an important role to achieve the environmental impact reduction.

A stage model as an analysis framework for studying voluntary change in food choices - The case of beef consumption reduction in Norway.

This paper studies the application of a stage-based model of consumer behavior change on describing the processes behind the reduction of beef consumption in two Norwegian samples (N = 746, N = 2967). The way to reduce beef consumption is modeled through a progression through four stages (predecision, decision, action, and postaction) with a chain of first forming goal intentions, then more concrete behavioral intentions and finally implementation intentions. The analyzes show that general goal intentions to reduce beef consumption are determined by perceived social norms and awareness of a behaviors negative consequences through the activation of personal norms. Attitudes are the main determinant of choosing the alternative behavior (reduction of portion size, substitution of beef with other meats or seafood, or vegetarian meals), but perceived difficulty of behavior also has an impact for some alternatives. Not all alternative behaviors correspond to reduced beef consumption. The pattern of means in beef consumption and intentions for consumers in different stages of change mostly matched predictions by the model, most importantly, showing beef consumption reduction only for consumers in the last stage of change. Implications for interventions are discussed.

How much sugar do consumers add to plain yogurts? Insights from a study examining French consumer behavior and self-reported habits.

In France, 50% of consumers sweeten plain yogurts prior to consumption. This study measured how much sugar consumers added under contextualized testing conditions. Participants (199 French adults who regularly consume plain yogurt adding sugar) were given a plain yogurt (125 g) at the end of a full meal and were allowed to sweeten it with their usual sweetener (caster sugar, honey, or jam). The quantities added were measured indirectly by weighing the sweetener containers before and after use; they were then converted into equivalent quantities of sucrose, or "added sugar." Participants were asked to describe their relative hunger, thirst, and liking for plain yogurt and to estimate the quantity of sweetener they had added. On average, participants added 13.6 g of sugar to their yogurts, which is higher than the 10.2 g of sugar contained in pre-sweetened commercial yogurts (125 g). More sugar was added when subjects used jam (24.4 g/yogurt, n = 36) as opposed to caster sugar (11.0 g/yogurt, n = 134) or honey (12.1 g/yogurt, n = 29). Age, socio-professional category, and BMI had a significant influence on added-sugar quantity. Based on behavior and attitude, participants could be separated into three evenly sized groups: "low sugar users" (n = 67, median = 6.1 g/yogurt), who tended to control their food intake, "medium sugar users" (n = 66, median = 11.4 g/yogurt), and "heavy sugar users" (n = 66, median = 19.9 g/yogurt) who sought immediate satisfaction. To our knowledge, this study is the first to provide robust data on the amount of sugar consumers add to plain yogurts in contextualized conditions (self preparation during a real meal). Our findings show that consumers underestimated by half the quantity of sweetener they added.

Research developments in methods to reduce the carbon footprint of the food system: a review.

Global warming is a worldwide issue with its evident impact across a wide range of systems and sectors. It is caused by a number of greenhouse gases (GHGs) emissions, in which food system has made up of a large part. Recently, reduction of GHG emissions has become an urgent issue to be resolved in the food system. Many governments and organizations are making great endeavors to alleviate the adverse effect of this phenomenon. In this review, methods to reduce the carbon footprint within the life cycle of a food system are presented from the technical, consumption behavior and environmental policies perspectives. The whole food system including raw material acquisition, processing, packaging, preservation, transportation, consumption, and disposal are covered. Improving management techniques, and adopting advanced technology and equipment are critical for every stage of a food system. Rational site selection is important to alleviate the influence of land use change. In addition, environmental choices of packaging stage, reduction in refrigeration dependence, and correct waste treatment are essential to reduce the total carbon footprint of the production. However, only technical methods cannot radically reverse the trend of climate change, as consumption behaviors present a great deal of influence over climate change. Appropriate purchase patterns and substitution within food product categories by low carbon products can reduce GHG emissions. Development of methods to calculate the carbon footprint of every kind of food and its processing technology enable people to make environmental choice. Policy can shape and cultivate the new code of consumption and influence the direction of emerging technology and science. From political perspectives, government intervention and carbon offset are common tools, especially for carbon tax and a real or implicit price of carbon. Finally, by mitigating the methodologies described above, the rate and magnitude of climate changes can be also reduced to some extent.

Eco-consciousness to eco-consumption: unraveling the drivers of sustainable consumption behavior under the mediated-moderated Model.

The impact of climate change has malformed the world's ecosystem, thus making humans call for environmental protection. Climate change, the biggest trauma of the twenty-first century, has made humans switch towards natural consumption. In this regard, the growing phenomenon of industrialization has spurred consumers to invest more in ecological products. Consuming eco-friendly products has several benefits; however, countries are still unable to satisfy the consumer's concern for the environment. The current study presents literature on environmental concerns, psychological well-being, willingness to pay for pro-environmental products, pro-environmental self-identity, and pro-environmental consumer behavior, which are required to ensure the consumer's organic behavior. The research used a questionnaire-driven methodology to gather data from 379 participants. Data analysis was conducted using statistical software packages, specifically SPSS (Version: 4.1.0.0). The suitability of the measurement model was evaluated through structural equation modeling (SEM), which was performed utilizing the SmartPLS. According to the research findings, there is a positive relationship between variables in the study, and individuals with greater levels of psychological well-being are more likely to engage in behaviors that promote sustainable consumption. In order to foster more sustainable consumption patterns in society, policymakers, marketers, and educators may find these findings to be valuable insights. As a result of its empirical exploration of these relationships, the study contributes to the growing body of literature on environmental psychology and sustainable marketing, emphasizing the important role psychological factors play in promoting a greener environment.

Individual low-carbon behaviors and influencing factors: Insights from a behavior survey study in China.

Climate change is a major global concern. Greenhouse gas emissions that cause global climate change are directly or indirectly affected by human activities. Individual low-carbon behaviors are crucial in reducing CO2 emissions and improving environmental and ecological health. To effectively promote individual low-carbon behavior, this study designed a questionnaire on the factors influencing individual low-carbon intentions and behavior based on theoretical models of environmental behavior. A total of 2430 valid questionnaires were collected in China. This study focuses on analyzing the impact of demographic characteristics, internal and external factors on individual low-carbon behaviors and their interrelationships. The research shows correlations between internal and external factors in determining low-carbon intention or behaviors. Internal factors-related low-carbon behavior is not closely linked with demographic variables, whereas the external factors-related low-carbon behavior vary significantly by age, residence, education, marital status, occupation, and income. The findings have important implications for designing effective policies to promote low-carbon behaviors, such as creating a more favorable external environment and increasing the use of policy tools for reducing CO2 emission.