Sentiment analysis of online reviews of energy-saving products based on transfer learning and LBBA model.

With the exacerbation of global climate change and the growing environmental awareness among the general public, the concept of green consumption has gained significant attention across various sectors of society. As a representative example of green consumer products, energy-saving products play a crucial role in the timely realization of dual carbon goals. However, an analysis of online comments regarding energy-saving products reveals that the majority of these products still exhibit shortcomings in terms of efficacy, noise level, cost-effectiveness, and particularly, energy-saving appliances. This study focuses on the user-generated online comments data from the Taobao e-commerce platform for Grade 1 energy-saving refrigerators. By employing text mining techniques, the study aims to extract the essential information and sentiments expressed in the comments, in order to explore the consumption characteristics of Grade 1 energy-saving refrigerators. Moreover, the LBBA (LDA-Bert-BiLSTM-Attention) model is utilized to investigate the consumer topics of interest and emotional features. Initially, the LDA model is adopted to identify the attributes and weights of consumer concerns. Subsequently, the Bert model is pre-trained with the online comment data, and combined with the BiLSTM algorithm and Attention mechanism to predict sentiment categories. Finally, a transfer learning approach is utilized to determine the sentiment inclination of user-generated online comments and to identify the primary driving factors behind each sentiment category. This research employs sentiment analysis on online comments data regarding energy-saving products to uncover consumer sentiment attributes and emotional characteristics. It provides decision-makers with a comprehensive and systematic understanding of public consumption intentions, offering decision support for the efficient operation and management of the energy-saving product market.

Determinants of the embodied CO2 transfers through electricity trade within China.

There is unequal spatial distribution of resource endowment, population density, industrial structure, and economic development with diverse differences in labor, energy, and capital productivities in China. However, previous studies paid little attention to the determinants of CO2 transfers embodied in electricity trade. In this study, we use both the absolute and comparative advantage theories to reveal the determinants of embodied CO2 transfers through electricity trade within China. Results show that China's electricity sector has higher labor productivity but lower asset efficiency and energy productivity than that of mining and manufacturing sectors. The large-scale electricity trade alleviates the shortage of electricity supply in developed regions by outsourcing to the less-developed regions, reduces the unequal spatial distribution of coal and natural gas reserves, and changes CO2 flow embodied in power grid. Econometric analysis shows that coal reserve contributes to the increase of embodied CO2 emission, while natural gas reduces the embodied CO2 emission. The regional differences in the opportunity cost of labor productivity of non-electricity sector are the dominant factor of the embodied CO2 transfers through electricity trade within China, while asset efficiency and energy productivity are not significant in the regressions. Our findings could provide details about China's power grid expansion when confronting climate mitigation in the future.

Climate co-benefits of VOC control policies in China based on a cross-scale approach.

Volatile organic compounds (VOC) contributing to smog formation, have been an important indicator of atmospheric governance during China's "14th Five-Year Plan". VOC would be possibly incorporated into the scope of environmental protection tax, but previous studies have seldom explored impacts of VOC control policies at national and regional levels. Here, we design a national uniform VOC control policy, as well as two regionally differentiated policies based on regional disparities in PM2.5 concentrations and energy intensity by using a cross-scale dynamic computable general equilibrium (CGE) model. Our analysis is to assess the impacts of these policies on VOC, CO2, sulfur dioxide (SO2), nitrogen oxides (NOX), and PM2.5 emissions, air quality and environmental equity, and to estimate health benefits, policy costs and net benefits. We find that national and regionally differentiated VOC control policies generally lead to VOC emission reductions and generate co-benefits on emission reductions in CO2, SO2, NOX and PM2.5 at national and provincial levels. However, regional emission leakage exists due to differences in the provincial costs of VOC mitigation. The regionally differentiated VOC pricing policies are found to be more effective to enhance environmental equity than the uniform policy. In particular, the regionally differentiated VOC control policy based on provincial energy efficiency is found to be superior to other policies in terms of improve air quality. Furthermore, the human health benefits associated with VOC pricing policies would partially offset policy costs at both the national and regional levels. Our results suggest that policymakers would pay attention to developing regions with low energy efficiency which have the great emission reduction potential. Advanced producing technology and further end-of-pipe control measures to reduce non-combustion PM2.5 emissions are needed. VOC policy designed based on provincial energy efficiency provides great insights for environmental policy making to accomplish 2035 goal of building a Beautiful China.

The impact of interaction on the adoption of electric vehicles: Mediating role of experience value.

The widespread adoption of electric vehicles (EVs) largely depends on the acceptance of the public. Previous studies pay more attention to the factors affecting EV adoption from the customer perspective but lack the perspective of the interaction between sellers and customers. Based on a survey of 1,014 respondents in China, this work developed a research model analyzing the effect of interaction on the intention to purchase EVs and using experience value (EPV) as the mediating variable. The results showed that the functional experience value (FEV) was positively affected by the environment-customer interaction (ECI). The FEV, emotional experience value (EEV), and social experience value (SEV) were all positively affected by salesman-customer interaction (SCI). In addition, they all had positive impacts on purchasing intention (PI). We further analyzed the differences in the interaction between the different business models. Compared with multi-business model car companies, the ECI for single-business model car companies had a more positive impact on the PI. However, the impact of ECI for single-business model companies on PI was negative. The SCI of single-business model car companies positively impacted the PI, whereas the SCI of multi-business model car companies had no significant impact on the PI. These findings provide insight into further understanding the mechanism of interactions affecting EV adoption and help perfect future promotion strategies.

Water-saving co-benefits of CO2 reduction in China's electricity sector.

Electricity sector is the largest CO2 emitter and water user in China's industrial sectors. The low-carbon transition of China's electricity sector reduces its cooling water consumption. Here we firstly quantify CO2 emission and virtual water embodied in electricity trade with Quasi-Input-Output model. Then, we analyze the impacts of energy substitution, efficiency improvement, and electricity trade on water-saving co-benefits of CO2 reduction with the differences between the baseline scenario and counterfactual scenario. Results show that the low-carbon transition contributes to water-saving in China's electricity sector. Virtual water and embodied CO2 have relatively decoupled from electricity trade since 2012. Water-saving (+10.4% yr-1) outweighed CO2 reduction (+8.4% yr-1) through energy substitution and efficiency improvement in the 'new normal' stage. Our work emphasizes the need to integrate water-saving co-benefits of CO2 reduction into electricity system planning and highlights the challenges to facilitate coordinated development of the electricity-water nexus in China.

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 progress and trend of pro-environmental behavior research: a bibliometrics-based visualization analysis.

Pro-environmental behavior (PEB) has always been a hot topic in academic and practical, and it is highly necessary to explore the research progress and development trend of PEB. Based on 1038 relevant literatures published and the Web of Science core database, this paper used citation analysis, co-word analysis and cluster analysis methods to systematically analyze the dynamic evolution process of PEB's research topics, knowledge base and subject areas. The results show that PEB research is currently in a period of rapid growth. And PEB research presents typical multidisciplinary characteristics, mainly focuses on Psychology-Education-Social, Economics-Economic-Political, Environmental-Toxicology-Nutrition and other disciplines. Then, this study also finds that the PEB research hotspots mainly concentrated in seven directions such as "Environmental cognition, emotion and motivation process", etc., which can be further classified into three horizontal levels and three vertical levels. This study will provide valuable theoretical and practical reference for the future research of PEB.

Impact of Urban Residents' Environmental Cognition on Voluntary Carbon-Reduction Behavior: The Mediating Role of Environmental Emotion.

Urban residents play an essential role in the carbon-reduction process, and it is significant to effectively guide them to reduce carbon voluntarily to achieve the "double carbon" target. In this study, a model was developed to investigate the influence of the environmental cognition (EC), environmental emotion (EE), and voluntary carbon-reduction behavior (VCB) of urban residents. Based on a sample of 978 urban residents in Jiangsu province, we used a multiple regression analysis to investigate the mechanisms of EC and EE on VCB. The results showed that: (1) both EC and EE positively affected residents' VCB, and EC had a higher impact than EE; (2) the three dimensions of EC (cognition for carbon-reduction knowledge, cognition for environmental issues, and cognition for individual responsibility) and the two dimensions of EE (positive environmental emotion and negative environmental emotion) all had a significant positive effect on voluntary carbon-reduction behavior; and (3) EE played a partial mediating role in the relationship between EC and VCB, and there was no significant difference in the strength of the mediating effect between positive and negative environmental emotion. In conclusion, raising environmental awareness and stimulating environmental emotion have the potential to promote voluntary carbon-reduction behavior among residents.

Evolution of the Knowledge Mapping of Climate Change Communication Research: Basic Status, Research Hotspots, and Prospects.

Climate change communication is a crucial strategy for addressing the major challenges of climate change, and the knowledge mapping analysis and overview of it helps to clarify research progress. Based on CiteSpace, 428 pieces of domestic and foreign literature are collected to clarify the basic status of climate change communication research and summarize research hotspots and prospects. The study found that: (1) The earliest traceable English literature on climate change communication appeared in 2000. The number of articles published has risen steadily since 2008, reaching its first peak in 2015. (2) In contrast, research into Chinese climate change communication began late and progressed slowly. The Chinese literature on climate change communication first appeared in 2009. Although domestic research generally continues to pay attention to this phenomenon, there is still room for development compared with international research. (3) The research hotspots for climate change communication are obtained through keyword co-occurrence analysis. Public perceptions of climate change are strongly influenced by political ideology. Since climate change has political attributes, people from different political parties or groups form their views on climate change through identity protection. (4) The research content on climate change communication can be summarized into the following six aspects: the development of climate change communication research; differences in public perceptions of climate change; factors influencing climate change communication; key elements of the climate change communication process; the important role of the media in climate change communication; and effective strategies for climate change communication. Finally, the shortcomings of this study are summarized and future research prospects on climate change communication are put forward from the perspectives of research methods, research contexts, and research paradigms.

How does government regulation promote green product diffusion in complex network? An evolutionary analysis considering supply side and demand side.

China has launched a series of regulation policies that promote the diffusion of green products to drive the green development of resources and environment. This study proposes an evolutionary game model of green product diffusion by providing a joint "supply side - demand side" regulatory framework. It simulates the effects of government regulation on green product diffusion in complex network, the related numerical simulation analysis is carried out through a case of electric vehicles diffusion. The study confirms that (1) On the supply side, green subsidies, environmental taxes, and carbon trading market can successfully increase green product diffusion to 0.84, 0.7, and 0.65. On the demand side, green consumption vouchers, as well as publicity and education can increase green product diffusion to 0.7 and 0.67. (2) Among the order-based regulatory instruments, high environmental taxes and poor participation in carbon trading market can inhibit the spread of green products, while low green consumption vouchers fail to stimulate the purchase of green products. It is crucial to enhance emotion-based regulatory instruments like publicity and education. (3) Neither order-based nor emotion-based regulation can achieve complete diffusion of green products. This study provides new insights of green product diffusion under government regulation and its implementation effects.

Evaluation of Occupational Health and Safety Management of Listed Companies in China's Energy Industry Based on the Combined Weight-Cloud Model: From the Perspective of FPE Information Disclosure.

Protecting labor safety and health and actively carrying out occupational safety and health management (OSHM) is a common need worldwide, and it is also one of the important efforts of Chinese enterprises under the background of promoting the implementation of the Healthy China strategy. Based on in-depth thinking on the current stage of OHSM, this study incorporated "management framework, management process, management effectiveness" (FPE) into an integrated framework and constructed an FPE evaluation system for enterprise OHSM. This study innovatively collected and refined FPE information from the perspective of information disclosure and used the combined weight cloud model to evaluate the occupational health and safety management level (OHSML) of 69 listed companies in China's energy industry from 2009-2019. The results showed the following. (1) The OHSML of most listed companies in China's energy industry was still at a low-end level. Among the companies that have issued relevant information reports, only 5.58% (S = 30) of the sample companies' OHSML were at an acceptable level (Level IV) or declarable level (Level V). The OHSML comprehensive evaluation level of 92.56% (S = 498) of the sample companies was between the transitional level (Level III) and the improved level (Level II). (2) During 2009-2019, although the annual OHSML of listed companies in China's energy industry showed an upward trend, the growth rate was low, and even the OHSML of some listed companies in the energy industry showed the characteristics of reduced fluctuations. (3) From the perspective of the PFT three-dimensional subsystem level of OHSM, the evaluation level of the governance framework subsystem was the highest, whereas the evaluation level of the management process subsystem and the management effectiveness subsystem were relatively low. Finally, according to the relevant results, some suggestions were proposed to improve the OHSML of listed companies in China's energy industry. These findings can provide guidance for companies to improve their OSHM performance.

Different Educational Interventions on Individual Cognition of Garbage Classification Based on EEG Monitoring.

Improvement in an individuals' cognition is the key to promote garbage classification. This study takes university students as the research subjects, through three educational interventions, including the self-learning, heuristic learning, and interactive learning ways, to seek the most effective intervention based upon event-related potentials (ERPs) that is beneficial to enhance cognition of garbage classification. The results show that the experimental subjects induced P300 and LPP components, representing attentional changes and cognitive conflicts in classification judgments. There are differences in the amplitudes and peak latency of the two components corresponding to different interventions, indicating that the three educational interventions are able to improve the individual's cognition level of garbage classification within a certain period of time. The interactive-learning intervention triggers the largest amplitudes of P300 and LPP, as well as the smallest peak latency, indicating its effect is the best. Such results provide insight into the design for an appropriate strategy in garbage classification education. The study also shows that an EEG signal can be used as the endogenous neural indicator to measure the performance of garbage classification under different educational interventions.

How Symbols and Social Interaction Influence the Experienced Utility of Sustainable Lifestyle Guiding Policies: Evidence from Eastern China.

As the key to mitigating climate change, a sustainable lifestyle has become a focus of environment policy. Past studies have largely neglected the symbols of sustainable lifestyle guiding policies and failed to capture its effect on the experienced utility of sustainable lifestyle guiding policies (EUSLGP). To address this drawback, symbolic value was incorporated into a model consisting of social interaction and the EUSLGP. With data collected from 3257 respondents in Eastern China, ordinary least squares were applied to examine hypotheses and two-stage least squares based on the instrumental variable to verify the results. Results show that symbolic value combines self-expression value, relationship consolidation value, group identification value, and status-showing value, and is positively associated with EUSLGP. Social interaction plays a moderating role in the association between symbolic value and EUSLGP. Moreover, significant regional differences are discovered in the identified relationships. Consequently, policy suggestions, covering symbolic value, social interaction, and regional conditions, are proposed to enhance the EUSLGP for other countries and regions.

Knowledge domain and research progress in green consumption: a phase upgrade study.

Green consumption (GC), as one of the important initiatives to achieve the goal of carbon peaking and carbon neutrality, has attracted widespread attention from scholars in environmental and economic fields. This article reviews the literature on GC, asking two main questions: how can GC research be analyzed from macro, meso, and micro perspectives? How have the research topics in the field of GC evolved in international and Chinese academia? This study makes a visual analysis of knowledge domain based on the literature of Web of Science Core Collection and China National Knowledge Infrastructure, so as to reveal hot topics, stage division, and research trend of GC research. The results revealed the following: GC research is in a period of rapid growth, and it is mainly distributed in developed countries dominated by the USA and in developing countries dominated by China. There is a trend of interdisciplinary research on GC, such as ecology, psychology, health, systematics, politics, and economics, which indicates that GC research has become increasingly inseparable from human survival and health, psychological acceptance, and social development. For the international academia, GC research pays more attention to the transformation of consumer psychology, while the Chinese academia is more concerned with the regulation of consumer behavior and the activation of green emotions. Considering the focus and characteristics of GC supervision, this study proposes GC 3.0 with a consumer-oriented and emphasizing green emotions and proposes future application scenarios from four aspects: government supervision, social self-regulation, enterprise demonstration, and personal self-monitoring.

Comparative evaluation for recycling waste power batteries with different collection modes based on Stackelberg game.

The new energy vehicle industry is booming, but the subsequent problem of vehicle power batteries' "scrap tide" is still severe. How to establish and improve the end-of-life power battery recycling system to avoid the "catastrophic" environmental consequences has become an urgent global problem needing a solution. This article constructs three recycling models for manufacturer recycling, retailer recycling, and mixed recycling. By using Stackelberg game and market real data, the influence of carbon trading policy outside the supply chain, power battery endurance capacity and advertising effects within the supply chain on the selection of recycling channels was studied. The results showed: (1) Different recycling channels did not affect the wholesale price, retail price, and market demand for raw material power batteries in the positive supply chain; (2) The total profit function of manufacturers and retailers had a "U-shaped" non-linear relationship with power battery endurance capacity and has a positive linear relationship with the advertising effect. Taking the R&D endurance capacity of 0.4 and the total endurance capacity of 62 kWh as the lowest dividing point, it will decrease first and then increase; (3) The increase in the recycling competition coefficient had a greater impact on the consumption of carbon emission rights in the mixed recycling model than on savings in carbon emission rights, and retailers were the indirect "victims" of rising carbon trading prices; (4) Endurance capacity, advertising effects, and carbon trading prices determined the economics of the recycling model and the carbon emission reduction potential. Manufacturers, retailers, and governments can refer to the value range of each variable to select the most appropriate recycling mode.

Identifying what shapes the words and actions of residents' environmentally friendly express packaging: Evidence from a two-stage payment model.

Voluntary purchase of environmentally friendly products is crucial to alleviating ecological degradation caused by human activities that revealing residents' payment decision-making mechanism is indispensable. Most current studies do not distinguish residents' payment decision-making behavior as a two-stage process of willingness to pay (WTP) and expected payment (EP), and research on negative factors needs to be deepened. To make up for the shortcomings, this study decomposes residents' environmentally friendly express packaging payment decision-making behavior into WTP and EP, and selects positive and negative antecedent variables. Then, the Double-Hurdle Model is used to explore the effects of variables. The results show that residents' EP is 2.68-3.89 RMB per item. Performance expectancy has a positive effect, and risk perception has a negative effect on WTP and EP. Additionally, influencing factors of WTP and EP differ, with facilitating conditions enhancing WTP, while social influence and green advertising acceptance promoting EP. Interestingly, effort expectancy has a positive impact on WTP but a negative effect on EP. Female residents with higher education and family monthly income have higher WTP and EP. The research shed light on residents' payment and recommendations on the promotion of environmentally friendly products are further proposed.

Public psychological distance and spatial distribution characteristics during the COVID-19 pandemic: a Chinese context.

The COVID-19 pandemic is a public health emergency, which continues to have a significant impact on the functioning of society and the public's daily life. From the perspective of psychological distance (PD), this study used descriptive, differential, and spatial autocorrelation analysis methods to explore the cognitive distance, emotional distance, expected distance and behavioral distance of the Chinese public in relation to the COVID-19 pandemic. An analysis of 4042 valid sample data found that: (1) The event emotional distance and subject emotional distance were both furthest from the event and subject psychological distance dimensions, and anger about the event was the strongest. (2) The government was the most appealing subject in the process of pandemic prevention and control, but at the same time, the public's sense of closeness to the government was also lower than that of the other three subjects, e.g., medical institutions. (3) Different pandemic regions showed significant differences in PD. Mean scores of PD in each risk region were as follows: High-risk regions > medium-risk regions > low-risk regions. (4) From a global perspective, no spatial autocorrelation was found in PD. However, from a local perspective, high-value regions (provinces with distant PD) are mainly concentrated in the southern regions (Guizhou, Guangxi, Hainan, Jiangxi), and low-value regions (provinces with close PD) are mainly concentrated in North China (Shanxi, Hebei, Beijing). Combined with the relevant conclusions, this paper put forward policy recommendations.

Decision-making dynamic evolution among groups regarding express packaging waste recycling under different reference dependence and information policy.

The reveal of express packaging waste recycling behavior evolution trend is crucial to waste management. Current models are mostly based on the classic expected utility theory, without considering groups are susceptible to internal and external factors. To address this drawback, we construct an evolutionary game model of express packaging waste recycling behavior by considering information policy and reference dependence factors to explore groups' decision-making with different initial adoption rates. A system dynamics simulation model based on survey data is then built, and simulation experiments are also designed to reveal the impacts of key factors on the evolution path of recycling behavior. The results show that, without information policy, groups cyclically oscillate around the initial state. The stable trend depends on the information intensity, and the information effect is marginal diminishing. Groups with a lower initial adoption rate will evolve to an ideal stable strategy only when information intensity exceeds the threshold of ten. Reference points can change behavior strategies and are characterized by significant loss aversion. The benefits and costs affect groups' adoption or rejection behaviors. These findings can provide new ideas for related research and offer a reference for the government to formulate efficient waste management policies.

Knowledge mapping analysis of international research on environmental communication using bibliometrics.

Environmental communication (EC) is of great significance to the practice of environmental protection by human society, as it involves disseminating ecological and environmental information, communicating environmental risks, and increasing environmental awareness among the audience. In this study, knowledge mapping analysis was used to systematically review research in the field of EC. A scientometric analysis (1900-2020) was carried out on 2219 journal articles obtained from the Web of Science database to explore the basic characteristics, research hotspots, and research frontiers of EC research. The results revealed that: (1) Research on EC received widespread attention since the beginning of the 21st century, and 2010 was an important turning point in the study of EC. EC research shows the trend of interdisciplinary development. (2) Well-known universities in western countries and from around the world constitute the main body of current EC research. However, there is still a lack of international cooperation in the field of EC research. (3) Climate change, as a complex scientific issue, is not only a global environmental issue, but also the most concerned and hot issue in the field of EC. It has a strong political attribute and has become a major issue that cannot be ignored in politics. (4) According to the timeline analysis of research hotspots, EC research was innovatively divided into an initial stage, a development stage, and a rising stage. Combined the keyword bursts result with the research hotspots analysis, the research frontier of EC was divided into four periods. Finally, the shortcomings of this study are summarized and directions for future research of EC are proposed by considering the following four aspects: research perspective, research content, research paradigm and method, and research context.

Will the public pay for green products? Based on analysis of the influencing factors for Chinese's public willingness to pay a price premium for green products.

The promotion and use of green products is an important way to improve the living environment and reduce resource consumption and waste. Green products often have higher prices than general products due to its green attributes. According to the signal theory, purchasing green products can effectively convey the pro-social signals of the consumers. Therefore, based on the price premium characteristics of green products, this study constructed a theoretical and quantitative research model of the public's WTP (willingness to pay) a price premium for green products and conducted an in-depth study on the consumers' acceptability of premium for green products. A total of 991 valid questionnaires were analyzed, and the following results were obtained: (1) The public's WTP a price premium for green products was generally low, with only 30.1% of respondents. (2) The influencing factors of the WTP a price premium for green products were conditional value>green value>functional value>value expression form>price importance. Economic factors were still the main reason that hinders the public's WTP a price premium for green products. When the premium conveys public's pro-social and pro-environmental signal characteristics, it could effectively improve the public's acceptability of premium for green products. (3) The public's WTP a price premium for green products varied with marital status, education level, working years, monthly income, and occupation characteristics. The public who were married, had a master's degree or above, and had worked for 1 year or less and whose disposable monthly income was more than 50,000 yuan and whose occupation was engineers and technicians had the highest WTP a price premium for green products. (4) Policy guidance and media publicity had a positive moderating effect on the path of influencing factors on the WTP for green products. On this basis, this study proposes to deepen the exemplary leading role of the government and attach importance to the education and publicity function of green consumption consciousness. Enterprises should give full play to the influence of reference groups, highlight the value of green products, and popularize green products through appropriate price discount activities, so as to promote the public to participate more actively in the purchase of green products. At the same time, it can also provide reference and enlightenment for the formulation of relevant policies.