Jianping Hu, Xinjiang Ye and Shengyu Gu
The study advances an enhanced model encompassing psychological involvement, denoted as the psychological continuum model (PCM) and perceived customer service quality as…
Abstract
Purpose
The study advances an enhanced model encompassing psychological involvement, denoted as the psychological continuum model (PCM) and perceived customer service quality as intermediaries in the association between subjective customer knowledge (SCK) and behavioral loyalty. The purpose of this study is to assess the mediating role of psychological engagement and consumers' perceived service quality in the relationship between SCK and behavioral loyalty among members of nonprofit sports service organizations. Additionally, the study aims to examine the impact of membership duration on the relationship between consumer knowledge and behavioral loyalty.
Design/methodology/approach
The study used a quantitative research design, and primary data were collected through a structured questionnaire from 527 members of nonprofit Chinese sports clubs who were selected using a simple random sampling technique. A 5-point Likert scale questionnaire was developed to measure all constructs in the intended research model. The suitability of the measurement model was analyzed by performing confirmatory factor analysis (CFA). Structural equation modeling (SEM) was used to analyze the data using AMOS-24.
Findings
The results of the overall direct effect indicate a significant influence of subjective knowledge on perceived service quality, perceived service quality significantly and positively influences psychological engagement; psychological engagement was found to be an important predictor of consumer behavioral loyalty.
Originality/value
The results offer information for nonprofit sports club (NPSC) managers who seek to increase the attractiveness and retention of their clubs' members by establishing the importance of subjective consumer knowledge.
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Xinliang Ye, Jing Wang and Ruihong Sun
The digital economy has become a key force supporting the high-quality development of tourism. This paper discusses the coupling coordination relationship and spatiotemporal…
Abstract
Purpose
The digital economy has become a key force supporting the high-quality development of tourism. This paper discusses the coupling coordination relationship and spatiotemporal evolution path of digital economy and tourism in China's provinces.
Design/methodology/approach
This paper uses the entropy method to measure the development level of digital economy and tourism, and establishes coupling coordination model and spatial autocorrelation model to study the interaction between the two industries.
Findings
Results show that the development levels of the two industries are rising, which spatially show a progressively decreasing pattern of east-middle-northeast-west. The coupling coordination degrees of the two industries have increased steadily, but the overall level is still near maladjusted. Spatially, the positive correlation is increasing, but the incongruity of spatial agglomeration is still significant. The coupling coordination evolution path in the provinces shows differentiated characteristics. The migration path is mainly concentrated in Zones I and II. The eastern region has an obvious trend of extending to Zone III, where the tourism industry was the most affected by the pandemic.
Practical implications
The study helps clarify the industrial coupling and coordination relationship in various regions and formulate regional tourism digital transformation strategies to promote the high-quality development of China's tourism industry.
Originality/value
This paper enriches the research on the relationship between digital economy and tourism from the perspective of industrial integration. The development commonality of China's tourism digital transformation summarized provides theoretical reference and demonstration for the coordinated development of China's tourism.
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Since 2013, China has implemented targeted poverty alleviation policies, successfully eradicating absolute poverty nationwide by 2021. The fiscal funds allocated for poverty…
Abstract
Purpose
Since 2013, China has implemented targeted poverty alleviation policies, successfully eradicating absolute poverty nationwide by 2021. The fiscal funds allocated for poverty alleviation have significantly contributed to reducing poverty in impoverished areas. However, to date, there has been a lack of scholarly research specifically examining the effects of these fiscal poverty alleviation funds on both poverty reduction and economic growth. This study aims to address two key questions: What role do fiscal poverty alleviation funds play in reducing poverty? Additionally, do these funds contribute to economic growth?
Design/methodology/approach
Provincial panel data in China from 2010 to 2020 are used to test the impact of fiscal poverty alleviation funds on poverty reduction and economic growth. The empirical study of this paper primarily employs panel data within difference and two-stage least squares (2SLS) estimation for causal identification.
Findings
Poverty alleviation funds positively influence China’s economic growth and significantly reduce the rural poverty rate. During the sample period, the contribution of poverty alleviation funds to economic growth reached 7.3%, and the contribution to the reduction of the poverty incidence rate was 8.4%.
Originality/value
The key contribution of this study lies in its novel approach of using empirical methods to probe the impacts of fiscal poverty alleviation funds on provincial economic growth. Additionally, this paper also empirically tests the mechanisms by which fiscal poverty alleviation funds promote growth and reduce poverty, mainly by improving the infrastructure development conditions in impoverished areas.
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Jingjing Sun, Ziming Zeng, Tingting Li and Shouqiang Sun
The outbreak of COVID-19 has become a major public health emergency worldwide. How to effectively guide public opinion and implement precise prevention and control is a hot topic…
Abstract
Purpose
The outbreak of COVID-19 has become a major public health emergency worldwide. How to effectively guide public opinion and implement precise prevention and control is a hot topic in current research. Mining the spatiotemporal coupling between online public opinion and offline epidemics can provide decision support for the precise management and control of future emergencies.
Design/methodology/approach
This study focuses on analyzing the spatiotemporal coupling relationship between public opinion and the epidemic. First, based on Weibo information and confirmed case information, a field framework is constructed using field theory. Second, SnowNLP is used for sentiment mining and LDA is utilized for topic extraction to analyze the topic evolution and the sentiment evolution of public opinion in each coupling stage. Finally, the spatial model is used to explore the coupling relationship between public opinion and the epidemic in space.
Findings
The findings show that there is a certain coupling between online public opinion sentiment and offline epidemics, with a significant coupling relationship in the time dimension, while there is no remarkable coupling relationship in space. In addition, the core topics of public concern are different at different coupling stages.
Originality/value
This study deeply explores the spatiotemporal coupling relationship between online public opinion and offline epidemics, adding a new research perspective to related research. The result can help the government and relevant departments understand the dynamic development of epidemic events and achieve precise control while mastering the dynamics of online public opinion.
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Abstract
Purpose
This study aims to explore the spatio-temporal dynamic characteristics and influencing factors of the coordination degree of the three systems of digital economy, energy and human habitat in Western China and to provide academic research support for promoting coordinated and sustainable development in similar regions of the world.
Design/methodology/approach
Based on system theory and sustainable development theory, this study primarily uses the coupled coordination degree model to assess the degree of coordination between the three systems.
Findings
The findings of this study indicate that: The three systems’ overall coordination is low. The distribution of the degree of coordination has spatial differences and its coefficient of variation is small. The probability of the coordination type changing for the better is greater than that of the opposite, and neighboring provinces interact with one another. The old-age dependence ratio, the resident population’s urbanization rate and public budget expenditure have the strongest gray association with the degree of coordination.
Practical implications
This study’s findings will be valuable for policymakers in developing policies to promote the coordinated and sustainable growth of the region’s digital economy, energy and human habitat. Additionally, the findings will aid in facilitating regional exchanges and cooperation to enhance the level of sustainable development.
Social implications
This study’s findings will contribute to increased social interest in coordinating sustainable growth in the digital economy, energy and human habitat.
Originality/value
This study examines the digital economy, energy and human habitat within the same framework and investigates spatial spillover effects using spatial Markov chains.
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Rong Zhang and Qi Li
The China–Europe Railway Express (CR Express) in Chongqing has operated regularly and undergone large-scale development. Its impact on Chongqing’s economic growth has become…
Abstract
Purpose
The China–Europe Railway Express (CR Express) in Chongqing has operated regularly and undergone large-scale development. Its impact on Chongqing’s economic growth has become increasingly evident, necessitating further research in this field.
Design/methodology/approach
This study employs the opening of CR Express as a quasi-natural experiment, designating Chongqing, which inaugurated the CR Express in 2011, as the treatment group. 13 provinces and cities that had not yet opened the CR Express until 2017 were selected as the control group. Utilizing panel data from 14 provinces across China spanning from 2006 to 2017, the synthetic control method (SCM) is employed to synthetically construct Chongqing. To quantify the difference in economic development levels between Chongqing with the operation of the CR express and Chongqing without its operation. Key metrics such as gross domestic product (GDP), per capita GDP, total retail sales of consumer goods, import and export value and the proportions of the secondary and tertiary industries are employed to measure urban economic development capabilities. Chongqing is designated as the experimental group, and a double-difference model is constructed to regress the operation of the CR Express against economic development capabilities. Robustness tests are conducted to validate the analytical results.
Findings
The results indicate that, compared to provinces without the operation of the CR Express, the initiation of the CR Express in Chongqing significantly enhances the economic development level of the city. The opening of the CR Express exhibits a pronounced positive impact on Chongqing’s economic development, and these findings remain robust and effective even after parallel trend tests and placebo tests.
Originality/value
The study represents an expansion of the theoretical framework. In contrast to previous studies that relied on a single indicator such as GDP, this study selects six indicators from the dimensions of economy, trade and industry to measure regional economic development capabilities. Furthermore, employing the grey relational analysis method, the study screens these indicators, thereby providing a theoretical basis for the selection of indicators for measuring regional economic development capabilities.
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Tianyun Shi, Zhoulong Wang, Jia You, Pengyue Guo, Lili Jiang, Huijin Fu and Xu Gao
The safety of high-speed rail operation environments is an important guarantee for the safe operation of high-speed rail. The operating environment of the high-speed rail is…
Abstract
Purpose
The safety of high-speed rail operation environments is an important guarantee for the safe operation of high-speed rail. The operating environment of the high-speed rail is complex, and the main factors affecting the safety of high-speed rail operating environment include meteorological disasters, perimeter intrusion and external environmental hazards. The purpose of the paper is to elaborate on the current research status and team research progress on the perception of safety situation in high-speed rail operation environment and to propose directions for further research in the future.
Design/methodology/approach
In terms of the mechanism and spatio-temporal evolution law of the main influencing factors on the safety of high-speed rail operation environments, the research status is elaborated, and the latest research progress and achievements of the team are introduced. This paper elaborates on the research status and introduces the latest research progress and achievements of the team in terms of meteorological, perimeter and external environmental situation perception methods for high-speed rail operation.
Findings
Based on the technical route of “situational awareness evaluation warning active control,” a technical system for monitoring the safety of high-speed train operation environments has been formed. Relevant theoretical and technical research and application have been carried out around the impact of meteorological disasters, perimeter intrusion and the external environment on high-speed rail safety. These works strongly support the improvement of China’s railway environmental safety guarantee technology.
Originality/value
With the operation of CR450 high-speed trains with a speed of 400 km per hour and the application of high-speed train autonomous driving technology in the future, new and higher requirements have been put forward for the safety of high-speed rail operation environments. The following five aspects of work are urgently needed: (1) Research the single factor disaster mechanism of wind, rain, snow, lightning, etc. for high-speed railways with a speed of 400 kms per hour, and based on this, study the evolution characteristics of multiple safety factors and the correlation between the high-speed driving safety environment, revealing the coupling disaster mechanism of multiple influencing factors; (2) Research covers multi-source data fusion methods and associated features such as disaster monitoring data, meteorological information, route characteristics and terrain and landforms, studying the spatio-temporal evolution laws of meteorological disasters, perimeter intrusions and external environmental hazards; (3) In terms of meteorological disaster situation awareness, research high-precision prediction methods for meteorological information time series along high-speed rail lines and study the realization of small-scale real-time dynamic and accurate prediction of meteorological disasters along high-speed rail lines; (4) In terms of perimeter intrusion, research a multi-modal fusion perception method for typical scenarios of high-speed rail operation in all time, all weather and all coverage and combine artificial intelligence technology to achieve comprehensive and accurate perception of perimeter security risks along the high-speed rail line and (5) In terms of external environment, based on the existing general network framework for change detection, we will carry out research on change detection and algorithms in the surrounding environment of high-speed rail.
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Guilong Li and Gulizhaer Aisaiti
The purpose of this paper is to identify the dimensions and formation mechanisms of brand value on social media platforms within the prosumption logic based on the theory of value…
Abstract
Purpose
The purpose of this paper is to identify the dimensions and formation mechanisms of brand value on social media platforms within the prosumption logic based on the theory of value co-creation. By adopting a process-oriented mindset, this study deconstructs and applies the prosumption theory and the theory of value co-creation in the field of social media, thereby addressing the insufficiencies of previous research that focused primarily on the subject mindset. It offers reference ideas for social media brand managers to attract prosumers to engage in value co-creation.
Design/methodology/approach
The crawler technology and grounded theoretical method were adopted in this research paper.
Findings
Based on the logic of prosumption and the theory of value co-creation, the research finds that the brand value of social media platforms is composed of seven dimensions. The dimensions include brand recognition, brand perception quality, brand experience, brand value-in-use, brand relationship quality, brand loyalty and brand co-creation behavior. From the perspective of prosumption logic, the formation of brand value on social media platforms is a gradual accumulation process. This process involves prosumers participating in prosumption activities, progressing through several stages. Initially, it starts with “prosumption conditions”, which include brand recognition, brand perception quality and brand experience. It then moves to “prosumption processes,” characterized by brand value-in-use and brand relationship quality. Finally, it culminates in “prosumption outcomes,” represented by brand loyalty and brand co-creation behavior. From the perspective of value creation, the formation of brand value on social media platforms is a closed-loop process that includes “brand value identification and empowerment—brand value acquisition and transformation—brand value co-creation and relationship upgradation—brand value co-creation and stability—brand value feedback and iteration.”
Originality/value
The findings contribute to expanding prosumption and co-creation theory and enriching the prosumption logic frame. Meanwhile, it is conducive to encouraging prosumers to participate in the platform’s prosumption activities and jointly creating the brand value of the social media platform. This paper interprets prosumption through the lens of the value co-creation process.
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Yun Li, Zhe Cheng, Jiangbin Yin, Zhenshan Yang and Ming Xu
Infrastructure financialization plays a critical role in infrastructure development and urban growth around the world. However, on the one hand, the existing research on the…
Abstract
Purpose
Infrastructure financialization plays a critical role in infrastructure development and urban growth around the world. However, on the one hand, the existing research on the infrastructure financialization focuses on qualitative and lacks quantitative country-specific studies. On the other hand, the spatial heterogeneity and influencing factors of infrastructure financialization are ignored. This study takes China as a typical case to identify and analyze the spatial characteristics, development process and impact factors of infrastructure financialization.
Design/methodology/approach
To assess the development and characteristics of infrastructure financialization in China, this study constructs an evaluation index of infrastructure financialization based on the infrastructure financialization ratio (IFR). This study then analyzes the evolution process and spatial pattern of China's infrastructure financialization through the spatial analysis method. Furthermore, this study identifies and quantitatively analyzes the influencing factors of infrastructure financialization based on the spatial Dubin model. Finally, this study offers a policy suggestion as a governance response.
Findings
The results demonstrate that infrastructure financialization effectively promotes the development of infrastructure in China. Second, there are significant spatial differences in China’s infrastructure financialization. Third, many factors affect infrastructure financialization, with government participation having the greatest impact. In addition, over-financialization of infrastructure has the potential to lead to government debt risks, which is a critical challenge the Chinese Government must address. Finally, this study suggests that infrastructure financialization requires more detailed, tailored,and place-specific policy interventions by the government.
Originality/value
This study not only contributes to enriching the knowledge body of global financialization theory but also helps optimize infrastructure investment and financing policies in China and provides peer reference for other developing countries.
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Xinchuang Xu, Wenao Wang, Yuan Zeng, Yujie Dong and Hanzhou Hao
The paper aims to explore the correlation between the agglomeration of regional innovation elements and the attraction of talent.
Abstract
Purpose
The paper aims to explore the correlation between the agglomeration of regional innovation elements and the attraction of talent.
Design/methodology/approach
This paper uses the factor analysis method to measure the innovation elements index (IEI). The proportion of the regional resident population and registered population is used to measure the attractiveness of talents. The PVAR model is used to analyze the interaction between innovation element agglomeration and talent attraction.
Findings
(1) According to the annual increase rate of IEI, the order is eastern region > central region > western region. (2) Panel vector autoregressive (PVAR) research shows that the agglomeration of innovation factors has a short-term thrust on the attraction of regional talents. (3) The agglomeration of innovative elements is the Granger cause of talent attraction; talent attraction is not the Granger reason for the agglomeration of innovative elements. (4) Pulse analysis and variance decomposition show that the agglomeration of innovative elements has a one-way positive effect on talent attraction.
Research limitations/implications
This study takes China’s provincial panel data as a sample without considering the differences between cities. There may be significant differences in innovation factor agglomeration and talent attraction in different cities.
Practical implications
The findings of this study provide valuable insights into innovation ecosystem practices. Policymakers should pay close attention to promoting the agglomeration of innovation factors by optimizing the innovation ecosystem in order to increase the attractiveness of talents.
Originality/value
(1) This study uses the proportion of regional resident population and household registration population to measure the attractiveness of talents, which is more realistic. (2) This paper is one of the few that examines the relationship between innovation factor agglomeration and talent attraction.