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This study aims to examine the “external effect” of a migrated star player on their domestic sport industries. By exploring the new aspect of star power, this study provides important insight and critical implication to many relevant stakeholders in the professional sports league. Particularly, this is critical under the recent circumstance where the globalization of sports products becomes the central strategic issue of the world-class leagues.

In this paper, the external effect of star players migrated from three Asian leagues (Japan, Korea and Taiwan) to Major League Baseball in the USA, the world-class baseball league, on their domestic league attendance demand was empirically investigated. For the analysis, comprehensive historical data from various reliable sources from each league were collected.

The findings of the paper strongly support the external effect of migrated stars significantly existing in all the three leagues. The effect is consistent across various measurements of migrated star players. More interestingly, the effect was found to be mixed across different leagues; for example, migrated star players increases in domestic league attendance in Japan, while it decreases in Korea and Taiwan. This indicates that the external effect of migrated star players depends on the characteristics of the domestic leagues. In addition, it was found that the external effect was substantial enough to compare to the effect of major demand drivers such as team winning, competitive balance and star power. For managerial implications, this study also provides revenue projections induced by the impact of migrated star players.

This study opens a new chapter related to star power topic and immediately calls for future studies regarding this external effect, particularly, theoretical and behavioral approaches.

The purpose of this paper is to review China’s past returns in a period over the last 40 years to public agricultural and rural investments to highlight the importance for future strategic investments in China’s agri-food system and in rural areas.

The paper synthesizes research findings from previous studies and reviews more recent trends. Based on the main findings, the authors provide forward-looking guidance for China’s investments agriculture and rural areas in the context of emerging global and domestic trends in agriculture, food security, and nutrition.

Public investments in the agricultural research and development (R&D), rural education, and rural infrastructure have been shown to have significant positive returns to agricultural growth as well as to reductions in poverty and regional inequality. Returns to overall agricultural GDP were highest for agricultural R&D, followed by education, roads, and telephones. Investment in education had the greatest returns to poverty reduction, as well as to nonfarm GDP and overall rural GDP. Investment in agricultural R&D had the second greatest returns in term of poverty reduction, and was also a close second in returns to nonfarm GDP and overall rural GDP following education. The rural infrastructure spending also saw significant returns to poverty reduction, largely through growth in agricultural and nonagricultural sectors. Investments in agriculture and rural areas will continue to be important, as China and the world face emerging challenges amidst a changing global landscape, particularly regarding climate change, rapid urbanization, nutritional imbalances, and food safety concerns. In addressing these emerging challenges, continued support for agricultural R&D and innovations can play a key role.

The paper highlights research findings on key investment areas that will be increasingly important for China’s agri-food system, and provides guidance in the context of emerging trends impacting food security and nutrition.

This paper gives a selective review on some recent developments of nonparametric methods in both continuous and discrete time finance, particularly in the areas of nonparametric estimation and testing of diffusion processes, nonparametric testing of parametric diffusion models, nonparametric pricing of derivatives, nonparametric estimation and hypothesis testing for nonlinear pricing kernel, and nonparametric predictability of asset returns. For each financial context, the paper discusses the suitable statistical concepts, models, and modeling procedures, as well as some of their applications to financial data. Their relative strengths and weaknesses are discussed. Much theoretical and empirical research is needed in this area, and more importantly, the paper points to several aspects that deserve further investigation.

This chapter examines China’s corporate governance and accounting environment that shapes the adoption of internationally acceptable principles and standards. Specifically, it examines international influences, including supranational organizations; foreign investors and international accounting firms; domestic institutional influences, including the political system, economic system, legal system, and cultural system; and accounting infrastructure. China’s convergence is driven by desired efficiency of the corporate sector and legitimacy of participating in the global market. Influenced heavily by international forces in the context of globalization, corporate governance and accounting practices are increasingly becoming in line with internationally acceptable standards and codes. While convergence assists China in obtaining legitimacy, improving efficiency is likely to be adversely affected given that corporate governance and accounting in China operate in an environment that differs considerably from those of Anglo-American countries. An examination of the corporate governance and accounting environment in China suggests heavy government involvement within underdeveloped institutions. While the Chinese government has made impressive progress in developing the corporate governance and accounting environment for the market economy, China’s unique institutional setting is likely to affect how the imported concepts are interpreted and implemented.

Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.

Based on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.

The results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.

By analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

The purpose of this paper is to study the influence of pivot stiffness on the dynamic characteristics of tilting-pad journal bearings (TPJBs) and the stability of the bearing-rotor system.

A theoretical numerical model is established, and the influences of pivot stiffness on TPJBs and a bearing-rotor system are analyzed. Then, two kinds of pivot structures with different stiffness are designed and the vibration characteristics are tested on the vertical rotor bearing test bench.

The pivot stiffness has an obvious effect on the dynamic characteristics of the TPJBs and the stability of the bearing-rotor system. As a result of appropriate pivot stiffness, the critical speed and the vibration amplification factor can be reduced, the logarithmic decay rate and the stability of the rotor system can be effectively increased. While the journal whirl orbit is smoother and the rubbing is obviously reduced when the bearings have flexible pivots.

The influence of pivot stiffness on TPJBs and a vertical rotor-bearing system is studied by theoretical and experimental methods.

As its market and society open up, China has transformed itself from a closed agrarian socialist economy to an urban state and an economic force. This has released accumulated tourism demand, led to the development of a diversified industry, and the spread of university and vocational courses in this field. However, the industry faces challenges to recruit and retain staff, with tourism education in higher education blamed for the shortfall in numbers and quality of candidates with suitable purpose, knowledge, and passion to serve. This chapter provides a background to the development of and problems facing tourism education in China, and suggests how to support student engagement and hence the future workforce.

It is very indispensable for the various control centers of multi-transmission system owners (TSOs) grids to coordinate their reactive power optimization (RPO) efforts. However, such coordinated equilibrium point is comparatively hard to achieve unless one TSO control center could obtain all grids’ information in detail, which may lead to confidential issue and heavy communicating load. The purpose of this paper is to propose a solution to optimizing the reactive power control efforts among multi-TSOs grids with a mathematic interconnection model and reasonable communication cost.

Based on the interconnected power network equation, the stability-related optimum reactive power injection and the power-loss-related optimum reactive power injection were derived, respectively. Furthermore, according to the decomposition-and-coordination-based computing methodology, a coordinated RPO model for interconnected TSOs was designed, taking into consideration both the static voltage stability and economy.

The extreme values for the indicator L of power grid voltage stability and active power loss function were found and proved to be minimums. According to these extreme values, an expression for the reactive power injection at interconnected nodes between TSOs grids was obtained, and a coordinated strategy of RPO was established, which could take the static voltage stability and economy into consideration without confidential concern.

The existence of minimum values for indicator L of voltage stability and power loss was demonstrated, respectively. And the method presented in this paper can ensure the safety of information among different TSO grids, i.e. avoiding confidential issues. In particular, the coordinated control method can be implemented on the local power grid without knowing all of the parameters of its interconnection.