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The multidimensional effects of farmland transfer in China have been profoundly unstudied. The purpose of this paper is to provide insights on the effects of the intermediary role of agricultural total factor productivity (TFP) of farmland transfer on agricultural economic growth in China.

Based on the agricultural data of 30 provinces in China over the period 2005–2018, this paper uses the intermediary effect model to test the relationship between farmland transfer, agricultural TFP and agricultural economic growth. This paper employed an intermediary effect test model to investigate the intermediary role of agricultural TFP in the influence of farmland transfer on agricultural economic growth.

The findings indicated that farmland transfer has a significant effect on promoting agricultural economic growth. There is a significant “inverted U-shaped” relationship between farmland transfer and agricultural TFP. The sample value of 84.3% of farmland transfers in China is still within the TFP promoting effect range. In addition, farmland transfer has an indirect impact on agricultural economic growth through the channel of agricultural TFP. Agricultural TFP plays a significant intermediary role, but the effect is relatively low

This paper is the first to provide fundamental evidence on the impact of farmland transfers on agricultural economic growth in China, driven by agricultural TFP as an intermediary factor. Agricultural TFP can reduce the involution effect of farmland transfer and promote an indirect effect on agricultural economic growth.

The purpose of this paper is to assess the impact of country-of-origin (COO) cues and pricing perspective based on the third-party seller's name, intermediary, on consumers' purchasing decisions on e-commerce sites. A model was proposed to investigate consumers' perception toward sellers' online reputation, the mediating role of trust between the reputation of third-party sellers and attitude toward e-commerce as an intermediary, and attitude toward third-party sellers. In addition, this study also looks at the pricing threshold of consumers who are willing to buy from a third-party seller that has a negative COO cue, which is an area that has received limited attention in e-commerce studies.

The paper opted for an experimental study using survey data gathered from general American consumers. Two studies were conducted. One hundred seventy surveys were gathered for study 1, and 171 surveys were gathered for study 2. The two studies had two product snippets which showed an Amazon product page with a list of third-party sellers. For study 2, all variables were kept the same – reviews and ratings for both products and sellers, delivery time, descriptions, e-commerce as an intermediary and brand of a bag – except for the price.

The findings showed that consumers' perceived reputation of a third-party seller has a positive impact on their attitude toward the seller and toward the e-commerce intermediary. In addition, the role of a positive COO influences attitudes and intentions. However, this influence is moderated by price when price is noticeably higher when compared to an alternative option provided by a seller from a country with a lower COO evaluation. This study suggests that the benefits of a positive COO diminish when a seller with a lower COO evaluation is able to provide a lower price for the product. In study 1, the results show that positive COO trumps negative COO. In study 2, the result shows that consumers lean toward a lower-price product and disregard their evaluation toward the COO. Furthermore, in study 2, results show that in order for the pricing to offset the negative COO attributes of a third-party seller, the price needs to be within 22–30% lower than the American seller's product pricing.

With the chosen research approach, the research results may lack generalizability for the other markets (e.g. Asian consumer market). Therefore, researchers are encouraged to test the proposed propositions further.

This study highlights the implications of COO cues such as sellers' names and how they impact consumers' willingness to purchase a product. The second study investigates consumers' willingness to purchase when the pricing for a product sold by a negative COO seller versus a positive COO seller is different in an e-commerce environment. In addition, the second study determines that the role of trust has more impact on consumers' attitude toward a third-party seller than it has on their attitude toward the e-commerce intermediary.

This thesis deeply studies the impact mechanism of digital service trade on the high-quality development of the manufacturing industry from the aspects of technological innovation and industrial structure.

In this thesis, 40 countries from 2010 to 2020 were selected as samples, and the panel fixed-effect model and intermediary effect model were used to empirically analyze the impact path of digital service trade on the high-quality development of global manufacturing.

Overall, digital service trade has a positive impact on the high-quality development of the global manufacturing industry. Through the analysis of the intermediary effect mechanism, it is found that digital service trade can further positively affect the high-quality development of the global manufacturing industry by promoting technological innovation and industrial structure upgrading.

Based on the empirical results, targeted countermeasures and suggestions are given in this paper.

Through the test of national heterogeneity, it is found that in developing countries, digital service trade mainly acts on the high-quality development of the manufacturing industry by promoting industrial structure upgrading.

In developed countries, digital service trade mainly promotes the high-quality development of manufacturing through technological innovation; from the perspective of industry heterogeneity, the three service industries of information and communication technology (ICT), other business services and property have the intermediary effect of technological innovation and industrial structure.

This manuscript suggests that trade in digital services should be promoted as a national trade priority.

It is widely accepted that enterprises obtaining academic discoveries through R&D collaboration improve their innovation performance. However, it is not necessarily true in emerging economies, such as China and post-socialist countries in Europe. The purpose of this paper is to fill the gap by investigating how R&D collaboration between industry and academia (i.e. universities and research institutes) affects the industrial innovation performance; and whether and how intermediaries moderate their relationships.

This paper constructs the research model according to the knowledge production function, and the pooled ordinary least square regression is used to verify our hypotheses.

Evidence from a sample of Chinese industrial enterprises in thirty provinces spanning from 2009 to 2014 suggests that R&D collaboration with research institutes (CWR) is positively related to innovation output, while R&D collaboration with universities (CWU) exerts negative effect on innovation output measured by sales revenue of new product (NPSR). The significant moderating role of technology transfer institutions is confirmed in the negative relationship between CWU and NPSR.

This paper empirically examines the moderating role of intermediary organisations in academia–industry cooperation and industrial innovation, and has practical implications for the government to formulate policies to improve the quality and effectiveness of cooperation between academic and industrial sectors. These results vary in inland and coastal areas, which suggest the policy makers to formulate policies according to local conditions not only in China but also in other countries, like European countries.

It is understood that the personality traits and intelligence levels of the tourist guides directly or indirectly affect their ability to solve the problems they encounter on tours. This study aims to test whether emotional intelligence has an intermediary effect on the problem-solving skills of professional tourist guides with perfectionist personality traits.

Field research was conducted within the study to analyze suggestions on the interaction of variables on an empirical basis, and data were collected using interview, document review and survey technique. Thus, the mixed-methods approach was used in the study. Within the scope of this study in which 410 professional tourist guides were surveyed, a substantial part of the research data was obtained through the application of the survey technique. Besides, interviews were carried out with 12 professional tourist guides. The clues obtained by the qualitative study were transformed into hypotheses within the scope of the quantitative study, and the intermediary effect was tested.

A relationship between the main themes, sub-themes and codes was determined within the framework of the qualitative method. As a result of the mediation test, it has been revealed that emotional intelligence has an intermediary role in the relationship between perfectionism and problem-solving skills. According to the results of bootstrapping, the indirect effect of emotional intelligence on perfectionism and problem-solving skills was found out to be significant.

The study acknowledged that positive perfectionism, high emotional intelligence and problem-solving skills contributed to the professional tourist guides being willing to provide better service. In tune with the assumption that the more the quality of the tours carried out through agencies increases, the more satisfied tourists are; the study implicated that it would be advisable for agencies to prioritize the trainings provided for their tour guides to enhance their positive perfectionist, emotionally intelligent personalities and problem-solving skills. Given that professional tourist guides may create a positive country image with the quality service they provide, the significance of such trainings stretch beyond the benefits of such organizations.

Relevant variables were analyzed with a mixed method and applied on professional tourist guides.

Can digital financial inclusion (DFI) as an emerging and innovative financial service encourage economic development?

Based on a Bayesian macroeconomic investigation framework, this research study presents the level of internet growth as a threshold variable and examines the influence of DFI on economic development based on state panel data from 2008 to 2021 in India.

The outcome of DFI on economic development through various mediation models. The results illustrate that DFI growth substantially contributes to economic development.

Encouraging small and medium-sized enterprise entrepreneurship and motivating populations’ utilization are two significant networks through which DFI progress affects economic growth.

This paper examines whether and how customers' annual report tone affects suppliers' innovation decisions.

Using the data from disclosed information on top five customers and annual report tone by Chinese listed firms, this paper used a two-way fixed effect model and intermediary effect model tests to explore the impact of customers' annual report tone on suppliers' innovation decisions.

The results indicate that the more positive the tone of customer annual reports is, the higher the suppliers' technological innovation level. The customers' annual report tone affects suppliers' innovation decisions through alleviating financing constraints and reducing the bullwhip effect. In addition, the authors find that the worse the supplier's bargaining power and the higher the customer's media coverage, the more significant the impact of positive customer annual report tone on the level of corporate technological innovation.

For downstream customers, to improve the quality of their text information disclosure. For upstream suppliers, the tone of customers' annual reports has incremental information, so the attention to customers' text information should be strengthened. As far as the market is concerned, it is recommended that regulators should strictly require the quality of text information disclosure and introduce relevant penalty mechanisms better to regulate the quality of corporate text information disclosure.

To the best of the author's knowledge, this paper is the first to expand the research related to textual information from a supply chain innovation perspective. The textual information can provide incremental information, and spillover effects may occur among supply chains, affecting suppliers' innovation decisions. And it clarifies the specific mechanism by which the supply chain tone spillover effect affects corporate innovation, enriching the relevant research on supply chain influence mechanisms.

This study is aimed at making an inspection of the effects of collaborative innovation network characteristics on firm innovation performance, and the intermediary roles of knowledge transfer efficiency is taken into account.

This study used a convenient sampling method to obtain population and samples. Using data obtained by publishing online and paper questionnaires, and using on-site interviews in Anhui Province in the Yangtze River Delta region of China, descriptive analysis, regression analysis and correlation analysis are utilized to study the direct influence of collaborative innovation network characteristics on knowledge transfer efficiency as well as firm innovation performance, and the intermediary roles of knowledge transfer efficiency on firm innovation performance, respectively. In this study, 3,000 questionnaires were distributed to the employees of enterprises engaged in research and development (R&D) activities, of which 2,560 were valid. With the help of SPSS24.0 software, the reliability and validity of the questionnaire was analyzed.

The results are indicative of that network centrality and relationship strength positively affect knowledge transfer efficiency and firm innovation performance. Nevertheless, network scale has no significant correlation with knowledge transfer efficiency and enterprise innovation performance. In addition, knowledge transfer efficiency is an intermediary between collaborative innovation network characteristics and enterprise innovation performance, and positively affects enterprise innovation performance, which demonstrated that managers should take advantage of collaborative innovation network characteristics to elevate knowledge transfer efficiency because well-realized transferals of knowledge can help accelerate the coordination of resources in knowledge, and finally bring about the advancement of firm's innovation abilities and performance.

There are few previous studies that fully examined the relationships among collaborative innovation network characteristics, knowledge transfer efficiency and firm innovation performance. This paper developed previous researches on the relationships between collaborative innovation network characteristics, knowledge transfer efficiency and firm innovation performance. The mediation of knowledge transfer efficiency on the relationship between collaborative innovation network characteristics and firm innovation performance is analyzed. Further, studies on collaborative innovation network characteristics using data obtained from employees engaged in R&D activities are very limited in the literature. On account of that, the findings in this study may make sense to the innovation ability of innovative enterprise and expand the literature in the field of enterprise strategic management and knowledge management.

This analysis shows that collaborative innovation network characteristics have both positive and negative effects on firm innovation performance. Therefore, business managers should pay attention to their position in the collaborative innovation network and maintain the relationship strength with other innovation subjects. Special consideration should be given to the knowledge transfer of innovative enterprises, so as to improve firm innovation performance practically.

The study may provide additional understandings for researchers, government managers, universities and enterprises with regard to strategic management from the visual angle of innovation ecosystems. It is instrumental in the exploration of the mechanisms enabling firm innovation performance.

Besides the extensive research on managerial efficiency in the financial sector worldwide, emerging economies in Europe remain untapped. This research scrutinises the impact of managerial performance and competitive structures on their financial industry growth in terms of services they offer and ability to liquefy stock in capital markets.

This study contains data from selected emerging European countries' during the period of 2010–2020. This study uses data from the Heritage Foundation's Index of Economic Freedom to control for firm-level indicators. The fixed-effects (FE) method was used to explore the nexus between financial sector growth and management performance as well as competitive firm structure.

The findings provide evidence of the existing impact of firm indicators on the financial sector's growth. Two-step system the generalized method of moments (GMM) estimations are used for the robustness check of the authors' model. Whilst on a scavenger hunt through existing literature, the authors realise that there is an overwhelming lack of enthusiasm in this field.

With the intention of better assessment, the authors use regulatory contextual variables to look for any possible impacts and surprisingly discover a pattern in the financial growth nexus.