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The purpose of this paper is to analyze the effect of environmental policy China’s national program to address climate change on carbon emission efficiency.

Based on the directional distance function, the provincial total factor carbon emission efficiency was measured. Then, the authors analyzed the effect of environmental policy on carbon emission efficiency based on a difference in difference model.

Carbon emission efficiency has been significantly improved since the environmental policy China’s national program to address climate change was put forwarded, but the positive impact in different periods and regions is different. In addition, the environmental policy improves the carbon emission efficiency through the reduction of energy intensity and adjustment of the industrial structure.

This is the first time to use difference in difference model to use a difference in difference model to quantitatively assess the influence of environmental policy China’s national program to address climate change on carbon emission efficiency.

In 1998, the Chinese Communist Party introduced the strategy for modernizing agriculture with large-scale production and launching large commercial enterprises known as dragon head enterprises (DHEs) to process and market agricultural products. Although scholars have raised awareness of the development of DHEs in China, there has been little investigation on DHEs in the Chinese wine business. Based on the existing theoretical background on the concept of DHEs, this study aims to identify the structure and operating system of a DHE in the Chinese wine business. Changyu is chosen as an example because it is the oldest and largest wine company in China, operating in various grape-growing regions.

Due to the research's explorative character, the qualitative approach and case study focus were considered adequate. In-depth interviews have been conducted with the employees of the company. The authors analysed data with a qualitative content approach of Gläser and Laudel (2010).

Results show that the grape procurement of Changyu is organized in an integrated system, which consists of the DHE (Changyu), the Changyu-led cooperative, and the grape producers who have a contract with the cooperative. The company takes different measures in terms of intra-organizational coordination to secure the required quantities and qualities of its grape supply base.

In this research, the authors could only access three interview partners of Changyu's grape procurement department, and it was not possible to conduct interviews with the management of Changyu. Another limitation is that it is difficult to collect adequate data in the Chinese wine industry.

There has been little investigation on DHEs in the Chinese wine business. This research contributes to the existing literature as it takes a closer look at the structure and operating system of a DHE in the Chinese wine business. The case study and chosen example (Changyu) allow a better understanding of DHEs and provide first insights into their operating principle.

The purpose of this study is to investigate the effect of structural deformations and bend angle on plastic collapse load of pipe bends under an in-plane closing bending moment (IPCM). A large strain formulation of three-dimensional non-linear finite element analysis was performed using an elastic perfectly plastic material. A unified mathematical solution was proposed to estimate the collapse load of pipe bends subjected to IPCM for the considered range of bend characteristics.

ABAQUS was used to create one half of the pipe bend model due to its symmetry on the longitudinal axis. Structural deformations, i.e. ovality (C_o) and thinning (C_t) varied from 0% to 20% in 5% steps while the bend angle (ø) varied from 30° to 180° in steps of 30°.

The plastic collapse load decreases as the bend angle increase for all pipe bend models. A remarkable effect on the collapse load was observed for bend angles between 30° and 120° beyond which a decline was noticed. Ovality had a significant effect on the collapse load with this effect decreasing as the bend angle increased. The combined effect of thinning and bend angle was minimal for the considered models and the maximum per cent variation in collapse load was 5.76% for small bend angles and bend radius pipe bends and less than 2% for other cases.

The effect of structural deformations and bend angle on collapse load of pipe bends exposed to IPCM has been not studied in the existing literature.

The purpose of this study is to examine how knowledge integration influences entrepreneurial firms’ frugal innovation in the service industry. This study builds a moderated mediation framework to investigate the effect of knowledge integration on frugal innovation via entrepreneurial bricolage and under moderations of competitive intensity and government support.

This study uses a two-wave survey study among 278 entrepreneurial firms from the service industry in China.

The findings reveal that knowledge integration positively influences entrepreneurial firms’ frugal innovation via entrepreneurial bricolage. Competitive intensity strengthens both the direct effect of knowledge integration on entrepreneurial bricolage and the indirect effects of knowledge integration on frugal innovation via entrepreneurial bricolage. Government support buffers the effect of entrepreneurial bricolage on frugal innovation but does not influence the indirect effect of knowledge integration on frugal innovation.

This study advocates for managers in entrepreneurial firms to cultivate knowledge integration to improve frugal innovation through activating entrepreneurial bricolage strategy and to pay attention to competitive intensity and government support in the transformation process from knowledge integration to frugal innovation.

While the link between knowledge integration and frugal innovation of entrepreneurial firms in the service industry remains unexplored in the fields of knowledge and innovation management, this study contributes to the knowledge and innovation management literature by exploring the mediating role of entrepreneurial bricolage based on a knowledge-based view and the moderation roles of competitive intensity and government support in this relationship.

Previous research suggests that abusive supervision has a positive effect on subordinates’ behaviors of knowledge hiding. However, the authors argue that this effect depends on the level of team abusive supervision differentiation. Drawing on the conservation of resources (COR) theory and social comparison theory, this study tries to explain how the level of team abusive supervision differentiation, in conjunction with individuals' own experiences of abusive supervision, influences the focal subordinate's knowledge hiding from their colleagues.

The paper addresses a sample of 412 employees nested in 73 groups and tests an original model using structural equation modeling.

Results show that abusive supervision would indirectly promote subordinates' knowledge hiding toward coworkers via emotional exhaustion, and team abusive supervision differentiation has a positive moderating effect on the above indirect relationship.

Human resource management (HRM) practices should be used to reduce abusive supervision both at individual and team level and minimize employees' emotional exhaustion, thereby affecting knowledge hiding from coworkers.

Results show that whether a subordinate's experience of abusive supervision leads to knowledge hiding via emotional exhaustion depends on the level of team abusive supervision differentiation. This finding adds to the literature about abusive supervision and knowledge hiding.

Drawing on information foraging theory and the SERVQUAL model, this study built a research model to investigate the roles of middle-aged and elderly short-video creators' online attributes in attracting short-video viewers to be their followers.

Taking Douyin (a famous short-video platform in China) as an example, this study used a sequential triangulation mixed-methods approach (quantitative → qualitative) to examine the proposed model by investigating both creators and viewers.

Viewers who clicked the “like” button for the middle-aged and elderly creators' videos are more likely to follow the creators. Viewers will believe that middle-aged and elderly creators who received more likes are more popular. Thus, middle-aged and elderly creators with more likes usually have more followers. Viewers usually believe that middle-aged and elderly creators who more frequently publish professional and high-quality videos have invested more effort and who have official verification also have a high level of authority and are recognized by the platform. Thus, middle-aged and elderly creators with more professional videos and verification usually have more followers. Moreover, verification, the number of videos and the professionalism of videos can enhance the transformation of viewers who liked middle-aged and elderly creators' videos into their followers, and thus strengthen the positive relationship between the number of likes and the number of followers; however, the number of bio words will have an opposite effect.

These findings have implications for platform managers, middle-aged and elderly creators and the brands aiming to develop a “silver economy” by attracting more followers.

This study researches short-video platforms by using a mixed-methods approach to develop an understanding of viewers' decision-making when following middle-aged and elderly creators based on information foraging theory and the SERVQUAL model from the perspectives of both short-video creators and viewers.

This paper aims to examine the different impacts of six variables on firm technological innovation performance in different high-tech industries in China. Through a comparative analysis of data about growth enterprises market board (GEM)-listed companies, this study attempts to get some conclusions, to help firms in different high-tech industries use resources more rationally and to improve technological innovation performance more effectively.

This paper constructs semi-parametric models based on the relevant data of GEM-listed companies during 2010 to 2015 for different high-tech industries. These models can ensure that the influencing factors of firm technological innovation performance are no longer restricted to a particular aspect but can provide a comprehensive comparative analysis of the effects of factors on firm technological innovation performance in different high-tech industries.

The empirical results show that R&D expenditures have a significant positive impact on firm technological innovation performance in most high-tech industries, but not in electronic and communication equipment manufacturing industry; R&D personnel investment and government subsidies have significant positive impacts on firm technological innovation performance in knowledge-oriented industries; technology diversity has a significant positive impact on firm technological innovation performance in technology-oriented industries; the proportion of exports shows an inverted U-shaped relationship with firm technological innovation performance in electronic and communication equipment manufacturing industry, while firm size shows an inverted U-shaped relationship with firm technological innovation performance in general equipment manufacturing industry; and the effect of semi-parametric model fit is superior to the general parameters model.

Drawing on the resource dependence perspective, this paper is the first to consider a comprehensive treatment of differential effects of internal resources (R&D personnel, R&D expenditure), external resources (government subsides) and firm characteristics (firm size, export ratio) on firm technological innovation performance in different high-tech industries in an emerging country, in particular in contrast to previous studies that have focused on a single industry or taken the type of industry as a control variable. In addition, most studies about the determinants of firm innovation performance are based on survey questionnaires, which may introduce large subjective errors. Setting the relationship between variables in advance may also introduce fit error when using a general-parameter model. Semi-parametric regression which is used in this paper is able to prevent this shortcoming effectively. When constructing a regression model, this can be exempted from the formal constraints, thus estimating data more accurately and ensuring superior fit.

Online-to-offline (O2O) knowledge-sharing economy platforms have emerged as a new public channel for matching up knowledge providers with knowledge seekers. It can facilitate offline provision and consumption of high-quality tacit knowledge around a topic upon online search and payment (called offline knowledge service transaction). However, limited research investigated this new knowledge-sharing phenomenon in the field of knowledge management (KM). The purpose of this paper is to enrich KM literature by developing a theoretical model to explore determinants of offline knowledge service transactions via O2O knowledge-sharing economy platforms from both quality and price perspectives.

The model was tested with objective data crawled from Zaihang – a leading O2O knowledge-sharing economy platform in China.

The results show that, in the context of O2O knowledge-sharing economy, transactions of an offline knowledge service are positively related to its provider’s popularity, but negatively related to the price. Moreover, knowledge seekers are more likely to accept and purchase a high-priced service of a knowledge topic with a higher overall review score and supplied by a provider with lower popularity and shorter response time. However, the length of offline knowledge service has no significant association with its transactions.

This study contributes to KM literature through investigating a new phenomenon of tacit knowledge sharing (including provision and consumption) in the context of O2O service and the sharing economy. The results give implications for knowledge providers and platform managers to facilitate online transactions of offline knowledge services.

Regarding the global development of the wine industry, China has gained a notable share in terms of wine consumption, and its domestic wine production has increased steadily since 2000. The wine production process requires close coordination between growers and processors to avoid disruption and instability in the supply chain of the wine grapes. However, vertical coordination in the Chinese wine regions has received little attention. Based on the existing theoretical background on vertical coordination, this study aims to detect the evolution processes of vertical coordination in the Chinese grape market.

Exploratory qualitative research fits with the aim of this study. From December 2018 to January 2019, interviews with grape growers and wine processors of various Chinese wine-producing areas took place. After transcribing all recorded files into text, a qualitative data analysis following the approach of Mayring (2015) was used to analyse and interpret the data.

The models of vertical coordination in the grape supply in China vary between the producer's requirements on grape quality/quantity and the arrangements of grape supply chains, which are diverse depending on regional strategies of the local government.

However, in this research, the authors did not get into details on the organization of the contractual coordination, and due to the limited access to grape growers, the relationship between farmers and processors cannot be analysed in detail. With a better understanding of the coordination relationship and enhanced contract enforcement, the vineyard management and grape supply chain management can be better performed, inducing a steady industrial development.

Regarding the global development of the wine industry, China has gained a notable share in terms of wine consumption, and its domestic wine production has increased steadily since 2000. However, vertical coordination in the Chinese wine regions has received little attention. The study provides a first insight into the grape market structures, as very little is known.

Middle-aged and elderly users become an important group on short-video platforms, however, the research on determinants of their video-creating intention is limited. Based on lifespan development theories, this study examines the impact of aging experiences on their video-creating intention, considering internal generative motivations as mediators and age as a moderator.

To test this study’s hypotheses, survey data from 321 Chinese middle-aged and elderly short-video users were collected and partial least square-structural equation modelling (PLS-SEM) approach was used to analyze these data.

Middle-aged and elderly users' aging experiences of social loss and personal growth are positively related to their video-creating intention. Aging experiences (i.e. physical loss, social loss, and personal growth) are positively related to internal generative motivations (i.e. need to be needed and symbolic immortality), and need to be needed is positively related to video-creating intention. Via the mediation of need to be needed, physical loss and personal growth are indirectly positively related to video-creating intention. Personal growth strengthens the relationship between physical loss and symbolic immortality, but weakens the associations of social loss with need to be needed and symbolic immortality. Age weakens the relationship between symbolic immortality and video-creating intention.

This study is the first wave to introduce and integrate lifespan theories such as selective optimization with compensation model, socioemotional selectivity theory, and generativity theory to explore the impacts of aging experiences on middle-aged and elderly users' video-creating intention by considering generativity motivations as mediators and age as a moderator.