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2020 is the year of US presidential election, with Republican candidate Donald Trump and Democratic counterpart Joe Biden running for president. In this paper, we focus on different president's policy especially on economic field. In addition, "the different policies affect both America and China's economy" is considered. This paper also gives some responds and suggestions for China to deal with different economic policies in America. Based on the instruction, we mainly solved three questions.To analyze different candidates' economic policies and explore the impact in the U.S, we establish four series of factors by using Multiple Regression (MR) and then use Analytic Hierarchy Process (AHP) to build a whole model of general factors. Specially, we choose "COVID-19 fighting measures" to be the area we will explore, and we select Susceptible Exposed Infectives Recovered (SEIR) model to predict the impact caused by COVID-19. After that, all the advantages and disadvantages can be analyzed. If Donald Trump continues his political career, the development of American economy will be predicted by Gray model according to the GDP in previous years. Oppositely, if Joe Biden successfully runs for the president, some policies will be changed, and it is helpful to predict the GDP by using MR method. The conclusion shows that Biden's policy is better than Trump's for economy in the U.S.We build a new model to predict the possible impact of different candidates elected on China's economy. The influence caused by different economic policies can be typically shown through several specific companies such as Huawei. Annual reports from different companies are collected and some data particularly related to international trade can be analyzed. Additionally, it is helpful to use Gray model and MR method to predict the companies' economic situation on behalf of some significant parts of Chinese economy. From a historical point of view, the connectivity of the world economy, the collaborative division of labor among countries and the ...

Cover -- Contents -- I. Introduction -- II. Transfer Pricing Regulation -- III. Theory -- IV. Data -- V. Empirical Speci?cations -- A. Difference-in-Difference -- B. Panel Regression -- VI. Results -- A. Baseline -- B. Robustness -- C. Heterogeneous Responses -- D. TPR-adjusted tax elasticity -- VII. Effect on Total MNC Investment -- VIII. Conclusions -- References.

Nanotechnology drew considerable R&D and research policy attention during the last decade from both developed and emerging developing countries. Nanotechnology is an emerging field where scientists and engineers manipulate matter at the molecular level to create new materials with favourable physical and chemical properties; it is widely acknowledged as a revolutionary technology that will bring path-breaking benefits and profound transformation to human life. Among these developing countries, China has recently emerged as one of the leaders in nanotechnology research. What characterises China's nanotechnology research? Is it different than the nanotechnology research in developed countries? What are the main players and determining factors behind China's fast growth in nanotechnology research? These are the research questions that this article intends to answer.

Although researchers have demonstrated the significance of leadership style in facilitating employee constructive deviance, there is still limited understanding of the precise process via which an empowering leadership style contributes to the promotion of constructive deviance. Based on social cognitive theory, we constructed a model to explain why empowering leadership can increase employees' constructive deviance, and tested it with data obtained from 217 supervisor–subordinate dyads in South Chinese enterprises. An examination using structural equation modeling revealed direct and indirect positive associations between empowering leadership and constructive deviance, mediated by role breadth self-efficacy. The findings of this study establish a theoretical framework and offer practical recommendations for leaders seeking to implement effective empowerment tactics aimed at motivating staff to engage in constructive deviance.

Drawing meaningful conclusions from organisational data is challenging, and theoretical frameworks can often illuminate information in fresh and useful ways. This book is one of the first to demonstrate how organisational semiotics can be applied to business informatics and information systems. Semiotics, a long-established discipline of signs, offers a rich philosophical and theoretical foundation for understanding information systems.