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Special education in China has lagged behind regular education for many years, however, the past few decades, the government has made considerable efforts to develop and improve the special education system. While the citizens of China have had a generic moral interest in disability since ancient times, the development of special education schools did not occur until American and European missionaries started schools for the visually and hearing impaired in the 19th century. The next major influence in the development of the special education system occurred with China’s Cultural Revolution in 1978. Interestingly, there is not any exclusive legislation on special education but in the 1980s, the government started Learning in Regular Classrooms (LRC), which is China’s version of inclusion. LRC has progressed rapidly the past two decades; however, the quality of instruction is low due to a lack of specialists, a shortage of personnel, inadequate funding, and limited technology as well as other barriers that are delineated in the chapter. The chapter emphasizes the government’s recent efforts in in-service teacher training, the preparation of preservice teachers, working with families, developing community rehabilitation training programs, and implementing evidence-based practices. Special education in China today is at a good place but it has quite a way from the ideal situation.

Purpose – This chapter gives an overview of the impact that the COVID-19 pandemic has had on institutional corrections in the United States and the responses correctional institutions have taken to lessen those impacts.

Methodology/Approach – A review of the extant literature was conducted to gather information on COVID-19 and the institutional corrections systems within the United States.

Findings – The impacts of the COVID-19 pandemic on correctional institutions within the United States were more pronounced due to the demographic characteristics of inmates and facility challenges. Responses to outbreaks or potential outbreaks in jails and prisons in the United States included screening measures, restricted inmate movement and visitation, and decarceration efforts.

Originality/Value – This chapter builds upon literature by discussing the challenges posed to correctional institutions in the United States in the face of the COVID-19 pandemic and summarizing the measures taken to reduce the impact of COVID-19 on inmates, institutional staff, and community members alike.

Political economy of trade policies and tariffs can affect welfare distribution and resources allocation as well as sustainable development. Political economy of trade between two countries can be affected by trade between other countries. Global trade can be affected by the bilateral trades of the countries. Impact of their bilateral trades on the global economy and global trade can be increased in case these two particular countries have big share in and influence on the global economy. Based on an in-depth literature review, this chapter aims to investigate political economy of the trade tariff and trade policies with particular focus on China’s economy, US, and China trade policies as well as their roles and impacts on global policy. Furthermore, recommendations for future trade policies and trade tariff strategies have been provided for enhancing global wealth and sustainable development. This chapter emphasizes the importance of sustainability in trade and trade policies’ roles in efficient resource allocation, welfare increase, and sustainable delvelopment. Furthermore, trade policies, taxes, and tariffs are recommended to be balanced based on the mutual trust, and common goals among trading countries. This chapter further emphasizes that trade policies need to promote ­sustainable supply globally.

SNS, namely social networking sites, has become one of the most effective and fast channels of information diffusion and dissemination. As an influential way of online marketing, SNS has been increasingly used by tourism organizations and enterprises to shape their destination image. On the basis of previews literature of destination image and SNS, this paper used the text analysis software ROST Content Mining (ROST CM) System to do a case study of the SNS destination marketing of Singapore on Chinese market. The authors analyze the text related to Singapore tourism on the major SNS in mainland China: Renren, Sina Weibo, and Douban, through word frequency analysis and the social semantic network, to summarize the destination image of Singapore on SNS. The paper also focuses on the difference of image building by official and individual SNS. Results found by this paper can be used by the relevant tourism organizations and enterprises to improve their destination marketing and image building on SNS channels.

While earlier acquisition research often focused on either the acquirer or the target side of analysis, recent work has increasingly emphasized the need to understand the dyadic interrelationship between the target and the acquirer. This review aims at synthesizing research progress in the area of target–acquirer interrelationships and understanding what questions remain unanswered. The author organizes this review into three dimensions of target–acquirer interrelationship: (a) their relative attributes (what both parties are relative to each other), (b) their connections (what both parties have with each other), and (c) their interactions (what both parties do to each other). Based on the review, the author then identifies critical research gaps and opportunities for developing a more comprehensive understanding of the interrelationship between the target and the acquirer in acquisitions.

Oversupplied emission basically will create a global economic downturn, which will lead to the implications for the climate action more broadly. Though the pandemic has test the resilience of carbon initiatives, there is urgency in identifying the carbon tax to strengthen as jurisdiction around the world ambitious in adopting and mitigating the targets as an introductory of the associated policy tools. Based on different situations and disciplines, the carbon tax model is simulated in different ways. The purpose of this study is to compare the available approaches that have been utilised by researchers and to determine the methods that suitable the most. The carbon tax and its influence on the construction sector are being benchmark and discussed as the whole of this document. A bibliometric approach is the method in this study in between the keyword of a carbon tax and the construction industry based on the data available in database of Scopus and Web of Science to foresee the interconnection between the knowledge of understanding and definition. The definition of carbon tax is the Pigovian tax that is designed to reduce the greenhouse gases (GHGs) emitted with aim to act as a green tax and been paid by the industries that emitted GHGs as for the carbon emission reduction agenda. The implementation is parallel to the other government policies and in sync to the sustainable development goals.

The goal of this paper is to investigate the relationship between government control and firm value in China.

Government might extract social or political benefits from a state-controlled firm, thus decreases firm value. However, government’s monitoring on firm management reduces managers’ agency problem, which increases firm value. We first build a game-theoretic model to prove the existence of optimal government control given these two roles of government, and we then employ the OLS regression method to test the theory predictions using the length of intermediate ownership chains connecting the listed state-owned enterprises to their ultimate controllers as the measure of government control.

We find that firm values first increase then decrease as government control weakens. Moreover, we find that government usually retains a stronger control over state-owned enterprises than the optimal level. In addition, we show that government control can be further weakened in firms with good corporate governance mechanisms, which serve as a substitution of government monitoring.

Our results demonstrate that government control in China is still a necessary but costly mechanism to mitigate agency costs, especially when corporate governance system is underdeveloped.

We identify the substitution effect between government control and corporate governance using a unique measure of government control.

The issue of trust in Industry 4.0 is extremely important from an organization’s perspective. The dynamic development of 4.0 technologies implies wide-ranging changes, which, in order to be implemented effectively, require cooperation based on trust. The purpose of this literature analysis is to identify key research areas regarding trust in Industry 4.0 and to identify further research directions.

Based on a comprehensive literature analysis, the most prominent areas of research on trust issues in Industry 4.0 will be presented (k=36). This chapter will also identify and discuss directions for further research.

The results of the analysis enable to illustrate the trends of science development in the area of Industry 4.0, as well as to identify key issues related to trust. Moreover, the research problems for further studies on the analyzed issue will also be indicated.

The research presented here identifies key Industry 4.0 technologies that are based on trust.

The review provides a valuable resource for practitioners regarding the critical aspects of implementing Industry 4.0 with respect to trust.

This is the first comprehensive literature review diagnosing research areas, technologies, and directions for future research on trust in Industry 4.0.

This research seeks to understand how shareholder constituencies including controlling family, nonfamily insiders, as well as domestic and foreign institutions in the corporate governance system of emerging economy firms perceive institutional risks in terms of regulative, normative, and cognitive institutions and influence strategic choices in the internationalization of their invested firms.

The sample data are Taiwanese publicly listed companies in the electronics and computer industry. Panel data of the parent firms and their overseas affiliates are available from the annual report and Taiwan Economic Journal database. Country-level data are available from the World Investment Report and the IMD World Competitiveness Report. Statistical regression models including tobit and logistic regression are used to analyze the data.

Controlling family and nonfamily insider shareholders tend to influence their invested firms to enter in institutionally smaller host countries through a shared ownership. Domestic institutional shareholders tend to influence their invested firms to adopt a shared ownership and enter in host countries with larger and smaller institutional distances in terms of regulative and normative institution, respectively. Foreign institutional shareholders tend to influence their invested firms to enter in institutionally smaller host countries through a whole ownership.

The strategic choices of foreign market entry made by emerging economy firms are significantly shaped by the different risk perceptions of shareholder constituencies in their corporate governance system toward the institutional distances between the home and the host country.