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The victim’s rights movement and restorative justice (RJ) have gained momentum around the world. More laws and policies have focused on crime victims and their families. Western literature suggests that the victim’s family suffers physical, emotional, and financial tolls and that the power of the victim’s family in pursuing justice for their loved ones remains limited. This is particularly concerning within the political and legal context of the abolitionist movement, innocence project, and human rights groups’ campaigns against police torture. Grounded in the perspectives of RJ and Chinese legal culture, this study examines the victim’s family, represented by Ding and senior Yu, of the Nian Bin capital murder case. Drawing on published reports and using the thematic content analysis method, this study examines the following aspects of victim’s family in a death penalty case: 1) victim family’s physical, emotional, and financial tolls; 2) victims’ family and the criminal justice system; 3) victims’ family and the media; and 4) the relationship between the victims’ and the accused’s families. This study concludes with discussions of the competing goals of families impacted by a crime and RJ practices that would help mitigate the loss of the victim’s family and enhance their confidence in the criminal justice system.

Education policies in the United States reinforce social stratification by prioritizing and normalizing middle-class whiteness in schools (Leonardo, 2007; Picower, 2009). The teacher labor market has also become more feminized, making white middle-class women paragons of exemplary educators (Rury, 1989; Tolley & Beadie, 2006). These sociopolitical and historical factors continue to play out in the current U.S. education workforce where 80% teachers are white and 76% of teachers are female (Hussar et al., 2020). Meanwhile, student demographics are shifting with students of color comprising over 50% of the public student population (de Brey et al., 2019). Diversifying the educator pipeline is a well-documented strategy to improve educational outcomes for all students, specifically students of color, and to achieve greater equity and inclusion in public education. However, the retention and promotion of educators of color remains a critical and complex issue.

Thus, looking at the intersection of race and gender in the education workplace, the purpose of this chapter is to highlight the experiences and expertise of women K-12 educators of color to identify best practices for career development. Applying Psychology of Working Theory (PWT) and utilizing modified meta-synthesis methodology, the chapter highlights the experiences of Black, Latinx, Asian American, and Indigenous/Native American women K-12 principals and superintendents to (1) thematize and conceptualize how women of color define their work in education spaces through a PWT lens and (2) understand how PWT themes can illuminate ways to build more diverse and inclusive career pathways for women of color leaders.

This chapter proposes semiparametric estimation of the relationship between growth rate of GDP per capita, growth rates of physical and human capital, labor as well as other covariates and common trends for a panel of 23 OECD countries observed over the period 1971–2015. The observed differentiated behaviors by country reveal strong heterogeneity. This is the motivation behind using a mixed fixed- and random coefficients model to estimate this relationship. In particular, this chapter uses a semiparametric specification with random intercepts and slopes coefficients. Motivated by Lee and Wand (2016), the authors estimate a mean field variational Bayes semiparametric model with random coefficients for this panel of countries. Results reveal nonparametric specifications for the common trends. The use of this flexible methodology may enrich the empirical growth literature underlining a large diversity of responses across variables and countries.

The current chapter is a tentative step toward investigating the allocation of advertising budget between the internet platform and the entity platform according to the long-term and short-term achievement of advertising investment. We provide a decision-making framework on how to allocate the advertising budget to the two platforms for the best results. The integrated effect of advertising investment consists of two parts. Goodwill and customer scale reflect the long-term achievement, and sale profit represents the short-term achievement. We selected some representative feasible investment plans as decision-making units (DMUs), and calculated the values of sale profit, goodwill, and customer scale as three outputs. To determine the best advertising investment plan, we use data envelopment analysis (DEA) model to seek efficient plans, and then determine the best one from those efficient plans through preference investigation and super-efficiency technique.

Joon Y. Park is one of the pioneers in developing nonlinear cointegrating regression. Since his initial work with Phillips (Park & Phillips, 2001) in the area, the past two decades have witnessed a surge of interest in modeling nonlinear nonstationarity in macroeconomic and financial time series, including parametric, nonparametric and semiparametric specifications of such models. These developments have provided a framework of econometric estimation and inference for a wide class of nonlinear, nonstationary relationships. In honor of Joon Y. Park, this chapter contributes to this area by exploring nonparametric estimation of functional-coefficient cointegrating regression models where the structural equation errors are serially dependent and the regressor is endogenous. The self-normalized local kernel and local linear estimators are shown to be asymptotic normal and to be pivotal upon an estimation of co-variances. Our new results improve those of Cai et al. (2009) and open up inference by conventional nonparametric method to a wide class of potentially nonlinear cointegrated relations.

There is a paucity of research on Asian American women's progress in higher education as faculty. This chapter contextualizes Asian American women as “Other” faculty who because of their race, gender, and presumed “foreigner” background are not seen as normal faculty. In disrupting traditional student–faculty relations where White males are considered normal and hold positions of power, Asian American women as women faculty of color are subject to being contested in the classroom. I examine here their classroom experiences with attention to student resistance and faculty agency through critical feminist, race, and intersectionality frameworks.

The study is based on a secondary data analysis of qualitative studies on Asian American women's classroom experiences in predominantly White institutions. It finds that students of all racial/ethnic and gender backgrounds may resist their faculty role, oftentimes through uncivil behaviors. Students hold racial, gender, and ethnocentric stereotypes and biases of their teaching capabilities and course offerings. Teaching race–gender–class–nation courses can contribute to lower or mixed course evaluations. In claiming their rightful place, Asian American women faculty seek to make a difference through student-centered learning, innovative pedagogy, and new curricula that prepare students for a diverse and global society. They demonstrate their authenticity, authority, and agency in the ways they navigate challenging classroom situations and serve as role models for all students and faculty.

In an urbanising world, neighbouring is perceived to be steadily losing significance and a remnant of the past. The same belief can also be found in China where rapid urbanisation has had a tremendous impact on the social networks and neighbourhood life of urban residents. This chapter challenges the common perception of neighbouring in demise and argues that neighbouring remains an important form of social relationship, even if the meanings and role of neighbouring have changed. This chapter first charts the changing role of neighbouring from the socialist era to post-reform China. It then provides an account of four common types of neighbourhoods in Chinese cities – work-unit estates, traditional courtyards, commodity housing estates and urban villages – and considers how and why neighbouring in different ways still matters to them. In pre-reform socialist China, neighbourhood life and neighbouring comprised much of the daily social life of residents. Since the reform era, with the proliferation of private commodity housing estates, middle-class residents prioritise comfort, security and privacy, such that neighbouring levels have subsided. Nevertheless, in other neighbourhood types, such as work-unit housing estates, traditional courtyards and urban villages, neighbours still rely upon one another for various reasons.

With rapid social development and deepening division of labor, more and more complex projects are required to be carried out in a team form. When evaluating team performance, previous research has usually treated team as a united entity. However, the operating environment of the team has a significant impact on its members and the interaction between them greatly influences the team's efficiency. To better evaluate team performance, we propose a circle loop to illustrate the relationship between the operating environment of the team and its members. A two-stage DEA model with feedback is developed to evaluate the team performance, together with the efficiencies of the operating environment and team members as well as their impacts on overall efficiency. Various conditions of the team are discussed to illustrate that team performance depends on the assumption of the conditions.

There is a growing literature in nonparametric econometrics in the recent two decades. Given the space limitation, it is impossible to survey all the important recent developments in nonparametric econometrics. Therefore, we choose to limit our focus on the following areas. In Section 2, we review the recent developments of nonparametric estimation and testing of regression functions with mixed discrete and continuous covariates. We discuss nonparametric estimation and testing of econometric models for nonstationary data in Section 3. Section 4 is devoted to surveying the literature of nonparametric instrumental variable (IV) models. We review nonparametric estimation of quantile regression models in Section 5. In Sections 2–5, we also point out some open research problems, which might be useful for graduate students to review the important research papers in this field and to search for their own research interests, particularly dissertation topics for doctoral students. Finally, in Section 6 we highlight some important research areas that are not covered in this paper due to space limitation. We plan to write a separate survey paper to discuss some of the omitted topics.