Estimating China’s Energy and Environmental Productivity Efficiency: A Parametric Hyperbolic Distance Function Approach

Since the beginning of this century, China’s annual GDP growth is over 9%. This growth is fueled by large increases in energy consumption, led by a coal-dominated energy structure, and associated with higher sulfur dioxide emissions and industry dust. In 2008, China accounted for over 17% of the world’s total primary energy consumption and accounts for nearly three-quarters of global energy growth. At an average annual energy growth rate over 12% since 2000, China’s future share of primary energy consumption will continue to increase. A consequence of this growth is China becoming the global leader in sulfur and carbon dioxide emissions. To deal with these energy and environmental challenges, the government set energy saving and pollution reduction target objectives in the 11th Five Year Plan (2006-2010): relative to 2005 by 2010, saving national energy use per unit of GDP by 20% and reducing the country’s primary pollution emissions by 10%. These targets were then disaggregated into energy saving targets for each province. With this disaggregated scheme, similar to country’s target, 20 provinces were assigned a 20% energy saving target, seven provinces were assigned targets below 20%, varying from 12% to 17%, and four provinces were given targets above 20%. These allocation were generally not guided by technical or economic efficiency, and thus may not be optimal from the perspectives of equity and efficiency. Historically less energy efficiency provinces may have more potential to reduce their energy consumption and pollution emissions, while higher efficiency provinces may have less potential. The major objective is to determine the optimal targets for each province required to comply with the national Five Year Plan target. A comparison of the estimated optimal with the current government targets will then reveal the value of incorporating economic theory into the decision calculation of setting disaggregate targets. Determining optimal targets requires consideration of both desirable and undesirable comes from alternative feasible targets. An objective is then to delineate these comes as criterion for selection. The procedure employed is a parametric hyperbolic distance function approach with a translog specification. This procedure provides the flexibility of using energy, labor, and capital stock as inputs to produce the desirable output (GDP) and the undesirable output (sulfur dioxide emissions). The procedure will address the objectives by simultaneously estimating both the desirable and undesirable comes. Specifically, the production frontier and environmental productivity efficiency are estimated for each province. The hyperbolic distance function enables the estimation of efficiency scores by incorporating all types of inputs and outputs, and only requires information on input and outputs quantities but not on prices, making it possible to model the emissions in the production process, given nonmarket characteristics of emissions. Based on these parametric estimations, the optimal targets are determined. The trajectory of obtaining these optimal targets for each province is determined by estimating how each province can improve its productive performance through increasing its desirable output and reducing its undesirable output, while simultaneously saving energy inputs. The results provide an empirical measurement of energy efficiency with maximum potential of energy saving for each province at a given technology considering the diverse economic, industry, and energy consumption patterns in the provinces. With a panel data of 29 provinces in China from 2000-2007, the hyperbolic distance function allows us to measure environmental productivity change over time, and then decompose this environmental productivity change into efficiency change, which is the movement toward the frontier, and technical change, which is the shift of the frontier. These further analyses help us identify potential different contributions of productivity growth for each province in China, and examine how the energy saving program will affect the environmental productivity growth for each province.environmental productivity efficiency, hyperbolic distance function, China's energy policy, Environmental Economics and Policy, Productivity Analysis, Resource /Energy Economics and Policy,

Research on the Psychological Satisfaction Mechanism of Video Platform Users’ Re-creation Behavior

Re-creation behavior is an important way for video website users to generate content. It can help users understand and develop themselves, improve the retention rate of platform users, and promote the emergence of new business models for video websites. Based on the uses and gratifications approach, this study proposes a research model of the psychological satisfaction process of "motivation-emotion-intention" with the re-creation video platform as the research background. Through data verification using SmartPLS, the research results show that four types of motivations, namely mimicking, helping, validation, and self-expression promote the satisfaction of lurkers' emotional needs; two types of emotions, the sense of belonging and the sense of achievement, promote lurkers to generate re-creation intentions

Short video marketing : what, when and how short-branded videos facilitate consumer engagement

Purpose This study explores whether and how four main factors of short-branded video content (content matching, information relevance, storytelling and emotionality) facilitate consumer engagement (likes, comments and shares), as well as the moderating effect of the release time (morning, afternoon and evening) in such relationships. Design/methodology/approach This study uses Python to write programs to crawl relevant data information, such as consumer engagement and short video release time. It combines coding methods to empirically analyze the impact of short-branded video content characteristics on consumer engagement. A total of 10,240 Weibo short videos (total duration: 238.645 h) from 122 well-known brands are utilized as research objects. Findings Empirical results show that the content characteristics of short videos significantly affected consumer engagement. Furthermore, the release time of videos significantly moderated the relationship between the emotionality of short videos and consumer engagement. Content released in the morning enhanced the positive impact of warmth, excitement and joy on consumer engagement, compared to that released in the afternoon. Practical implications The findings provide new insights for the dissemination of products and brand culture through short videos. The authors suggest that enterprises that use brand videos consider content matching, information relevance, storytelling and emotionality in their design. Originality/value From a broader perspective, this study constructs a new method for comprehensively evaluating short-branded video content, based on four dimensions (content matching, information relevance, storytelling and emotionality) and explores the value of these dimensions for creating social media marketing success, such as via consumer engagement.© 2023 Emerald Publishing Limited. This manuscript version is made available under the Creative Commons Attribution–NonCommercial 4.0 International (CC BY–NC 4.0) license, https://creativecommons.org/licenses/by-nc/4.0/fi=vertaisarvioitu|en=peerReviewed

Thermal Properties of Carbon Nanotube–Copper Composites for Thermal Management Applications

Carbon nanotube–copper (CNT/Cu) composites have been successfully synthesized by means of a novel particles-compositing process followed by spark plasma sintering (SPS) technique. The thermal conductivity of the composites was measured by a laser flash technique and theoretical analyzed using an effective medium approach. The experimental results showed that the thermal conductivity unusually decreased after the incorporation of CNTs. Theoretical analyses revealed that the interfacial thermal resistance between the CNTs and the Cu matrix plays a crucial role in determining the thermal conductivity of bulk composites, and only small interfacial thermal resistance can induce a significant degradation in thermal conductivity for CNT/Cu composites. The influence of sintering condition on the thermal conductivity depended on the combined effects of multiple factors, i.e. porosity, CNTs distribution and CNT kinks or twists. The composites sintered at 600°C for 5 min under 50 MPa showed the maximum thermal conductivity. CNT/Cu composites are considered to be a promising material for thermal management applications

Research on the decision-making of return freight insurance considering consumer behavior under the omni-channel model

This article considers that consumers choose offline returns under the omni-channel model to bring additional benefits to retailers, and studies the impact of different freight insurance delivery strategies on the pricing and consumer behavior of omni-channel retailers. Establish consumer utility function and corporate profit maximization model. Research has shown that consumers’ satisfaction with the three ways that companies do not provide return freight insurance for consumers’ online return, companies offer return freight insurance for consumers’ online return, and companies do not provide return freight insurance for consumers’ offline return when the price is high, free return shipping insurance can maximize the company’s online benefits, while not providing return shipping insurance services can maximize the company’s offline benefits, reducing commodity prices, and improving offline store service levels to further increase revenue; improve products Packaging quality to increase the net residual value of the product by ensuring the integrity of the product has a positive impact on increasing market share and corporate profits

Post-retrieval Distortions of Self-Referential Negative Memory: Valence Consistency Enhances Gist-Directed False, While Non-negative Interference Generates More Intrusive Updates

According to the theory of reconsolidation, the contents of an original memory can be updated after reactivation with subsequent new learnings. However, there seems to be a lack of an appropriate behavioral paradigm to study the reconsolidation of explicit self-related memory, which is of great significance to further explore its cognitive neural mechanism in the future. In two separate experiments, we adapted a trial-by-trial interfering paradigm with a self-episodic simulation process and investigated (1) whether it is possible to reconsolidate negative memories under the new behavioral paradigm and (2) how the emotional valence of post-retrieval interference material affects the reconsolidation of negative memories. The results showed that the negative memories under trial-by-trial self-simulation can be degraded and updated via post-retrieval interference processes. Individuals whose original memories were reactivated by initial background cues and who were then presented with new interference situations were less able to recall original scenes and showed more memory intrusions on these scenes than those who had experienced new learning without reactivation or only reactivation without interference. Furthermore, the extent and manner of memory change/updating were greatly influenced by the characteristics of interference information. For memories with negative valences, new learning materials with the same valence produced superior interference effects in the form of lower correct recalls and more integrated false; whereas the neutral interference materials can cause more memory intrusion. Post-retrieval memory distortions of negative self-memory may underlie different functional mechanisms

Strategy Bias in the Emotion Regulation of High Trait Anxiety Individuals: An Investigation of Underlying Neural Signatures Using ERPs

Objective: Previous studies have employed self-report measures to investigate emotion regulation (ER) strategy biases in individuals with anxiety. We investigated the neural signatures underlying ER strategy biases. Method: Twenty individuals with high trait anxiety (HTA) and twenty individuals with low trait anxiety (LTA) completed both the Emotion Regulation Questionnaire and ER tasks. During the tasks, participants were required to passively view, reappraise, and suppress expression while viewing negative images. Event-related potential (ERP) indexes: P2 (an early positive component of the latency around 200ms) and late positive potential (LPP) were adopted to examine the reliability of ER strategy bias in early and later stages during ER procedure. Results: Results of the questionnaire indicated that trait anxiety level was positively correlated with habitual suppression use. ERP results revealed that, in LTA individuals. P2 amplitudes were reduced during both reappraisal and suppression strategy use. HTA individuals, however, showed no significant differences in P2 amplitudes between passive-view and regulation conditions. Furthermore, during the reappraisal block, a reduction of LPP was only observed in the LTA group, while HTA individuals showed a relatively more pronounced reduction in LPP during the application of the suppression strategy. Conclusion: Individuals in the HTA group do not demonstrate the application of effectively strategies during the initial stages of ER process, perhaps due to the presence of an automatic negative bias. While during the later stages of ER. HTA individuals demonstrated successful use of suppression but were deficient in voluntarily applying reappraisal techniques