Search results

The study aimed to analyze the influence of network embeddedness on the innovation performance of high-tech enterprises in Guangdong Province.

A conceptual model of the influence of network embeddedness on the innovation performance of high-tech enterprises in Guangdong province is established, which takes the business model as the mediating variable and political association as the moderating variable. Multivariate statistical analysis and the MacKinnon confidence interval method were used to analyze 418 questionnaires.

The results show that both relational embeddedness and structural embeddedness have significant positive effects on the innovation performance of high-tech enterprises in Guangdong Province. The business model has a partial mediating effect between relationship embeddedness, structure embeddedness, and innovation performance of high-tech enterprises in Guangdong Province, respectively. Political relevance has a significant negative moderating effect on the relationship between the relationship embeddedness and innovation performance of high-tech enterprises in Guangdong Province, but the moderating effect on structural embeddedness and innovation performance of high-tech enterprises in Guangdong province has not been verified.

The study of this paper also has some shortcomings: very few data research samples exist; the external factors affecting the performance of high-tech enterprises in Guangdong Province need to be further refined. The research scale needs further improvement.

In this paper, embedding theory, transaction cost theory, resource dependence theory, rent-seeking theory, new institution theory and uncertainty management theory were integrated by system attempt to reveal the mediating and moderating roles of business model and political relevance, respectively, between network embeddedness behavior and entrepreneurial innovation performance of high-tech enterprises. The research conclusions expand the relevant research in the field of entrepreneurial innovation. At the same time, the research results provide theoretical support and reference for the innovative growth of high-tech enterprises and government behavior decision-making in Guangdong province.

Network embeddedness will have a profound impact on the entrepreneurial innovation performance of high-tech enterprises. Existing research has overlooked discussing this issue from the perspective of internal and external influencing factors within the enterprise. Therefore, this study addresses this issue by (1) introducing the business model as the mediating variable from an internal perspective of the enterprise, (2) introducing political association as the moderating variable from an external perspective of the enterprise and (3) 418 original questionnaires of high-tech enterprises in Guangdong Province were used to test the effect of the study variables.

Constant or decreasing returns and increasing returns to scale are two kinds of mechanism in economic growth. The goal of supply-side structural reform is to promote the establishment of the mechanism with increasing returns to scale. The paper aims to discuss this issue.

This paper argues that the overall economic structure of the developing economy has been divided into the sector of constant or decreasing returns to scale and the sector of increasing returns to scale due to the dual economic structure. Among them, the supply-side structural reform is mainly to reduce the sector of decreasing returns to scale and increase the sector of increasing returns to scale. Based on the hypothesis of such two-sector economic structure in the supply side of developing economies and on the industrial data, this paper empirically tests the returns to scale of China’s supply structure. The result suggests that so far the sector of constant or decreasing returns to scale dominates the supply structure of China’s economic growth, which results in the state of decreasing returns to scale in China’s overall economy.

Therefore, to realize the long-term sustained growth and transformation of the development pattern of China’s economy, the authors must carry out the supply-side structural reform, vigorously develop the modern industrial sectors characterized by modern knowledge and technology, and promote the development of an innovation-driven economy.

Besides, the authors must accelerate the transformation from traditional industrial sectors to modern industrial sectors, actively promote China’s industrial structure toward rationalization and high gradation, as well as build a modern industrial system so as to facilitate the formation of the mechanism of increasing returns to scale and accelerate the transformation of the driving force of China’s economic growth.

The purpose of this paper is to examine Chinese tourists’ experience of Britain based on a conceptual model of tourist satisfaction and destination loyalty, and to identify key issues that tourism organisations could address to provide an excellent experience for Chinese tourists.

Data were collected in collaboration with a tour operator; and 275 valid responses were received. Partial Least Square Structural Equation Modelling was used for data analysis.

The key destination attributes of Britain such as heritage sites, natural scenery and customer service provide an excellent experience for Chinese tourists. Other British destination attributes such as shopping facilities, food, accommodation, entertainment and night life are less impressive.

The sample was drawn from Chinese tourists visiting Britain on package tours, which limits the generalisation of results to other Chinese tourists and other European/Mediterranean destinations.

There are two key challenges for British destination tourism managers: first, to maintain the current quality levels in the attributes that generate tourist satisfaction; and second, to concentrate on improving attributes with low performance ratings such as shopping, food and drink, accommodation, entertainment and night life. As the characteristics of Chinese tourists are culture-specific rather than destination-specific, tourism managers in other European destinations may find these recommendations useful too.

This is one of the first studies to examine Chinese tourists’ experience of a European destination. The results reveal unique characteristics of Chinese tourist requirements, which provide useful implications for tourism organisations to adapt their service strategies to better cater to this growing group of travellers.

The purpose of this paper is to examine the direct and indirect effects of destination image on destination loyalty. Indirect effects are measured via tourists’ satisfaction.

A reliable conceptual framework was developed through a mixed methods research methodology. A three-pronged approach was used to cross-validate the results from a literature review, expert interviews, and exploratory study. Structural equation modeling was used in conceptual model development and hypotheses testing.

Exploratory dimensions of destination image, satisfaction and destination loyalty of Indian cities were revealed from Thai tourists’ perception. The positive indirect effects of destination image on destination loyalty via satisfaction is supported.

This study is limited to tourists of Thai nationality who visited India’s travel destinations. Future research should include further generalization of the research methodology to specific travel destination.

This study provides useful information for India’s tourism industry, specifically for the marketing of historical cities as travel destinations.

By proposing a reliable conceptual model based on a mixed methods research methodology, this study is among the first to explore destination image, satisfaction and destination loyalty in India’s tourism context. The mediating role of satisfaction on destination image and destination loyalty was also recognized as an extension of, and contribution, to the theoretical foundation for the destination image concept.

The purpose of the study is to investigate strategies for enhancing pollution oversight by local governments while reducing government-enterprise collusion (GEC) levels. Additionally, the factors influencing pollution control efforts at incineration plants are explored. Potential approaches to improving them and for effectively reducing waste incineration pollution are suggested.

The authors examined the most effective methods for mitigating incineration-related pollution and preventing collusion and developed a differential game model involving interactions between local governments and incineration plants. The findings of this work have significant policy implications for central governments worldwide seeking to regulate waste incineration practices.

The results indicate that, first, elevating environmental assessment standards can incentivize local governments to improve their oversight efforts. Second, collusion between incineration plants and local governments can be deterred by transferring benefits from the plants to the local government, while increased supervision by the central government and the enforcement of penalties for collusion can also mitigate collusion. Third, both central and local governments can bolster their supervisory and penalty mechanisms for instances of excessive pollution, encouraging incineration plants to invest more in pollution control. Finally, when the central government finds it challenging to detect excessive incineration-related pollution, enhancing rewards and penalties at the local government level can be a viable alternative.

This study stands out by considering the dynamic nature of pollutants. A differential game model is constructed which captures the evolving dynamics between local governments and incineration plants, offering insights regarding the prevention of collusion from a dynamic perspective. The findings may provide a valuable reference for governments as they develop and enforce regulations while motivating incineration plants to actively engage in reducing waste-incineration pollution.