Although the majority of undergraduate students in Chinese universities are women, those who choose to study science, technology, engineering and mathematics (STEM) face marginalisation and discrimination due to the traditional patrilineal society. However, while much of the existing literature investigates this population based on the traditional binary male/female perspective, it ignores the complexity of the societal “matrix of domination” and individual variations among this cohort. To better understand the obstacles female undergraduate STEM students face from their perspective, we propose using a theoretical and methodological framework of intersectionality to re-evaluate their educational experiences based on social categories. With three main intersectional paradigms, the intracategorical intersectionality can show the subgroup differences. Intercategorical intersectionality can investigate not only the process of identity formation based on intersecting social categories but also individual differences in constructing their identity when they study STEM. Systematic intersectionality examines how high-level educational and industrial policies influence these female students. Overall, intersectionality provides a solid research paradigm and theoretical framework to address the dilemma of Chinese female STEM undergraduate students.

The public school system in U.S. has changed dramatically over the past few decades. Institutionally, neo-liberal reform has created a new educational apparatus known as charter schools. As they admit students without school boundaries, these schools promise to offer great opportunities for disadvantaged students. The enrollment in charter schools is mainly Latinx and Black students, especially in large urban areas. That demographic shift is not reflected in the literature because previous studies have predominately focused on comparisons between Whites and minorities. Using Chicago as a case, this study compares the association between the enrollment of Black and Latinx students with educational resources and academic performance in charter schools. Using Illinois Report Card data representing 119 public schools during the 2016 to 2017 academic year, we aimed to understand which group could more systemically benefit from charter schools. We found that although the enrollment of Black students might be associated with better educational resources (i.e., total number of school days per academic year, and class size), the enrollment of Latinx students predicted stronger school academic performance on the SAT and PARCC. Those findings can contribute to the debate about institutionalized racial inequality in education and the effects of charter schools.

Neoliberal policies since 1978 have caused severe regional inequality in China. Cities in regions with high levels of marketisation attract top academic experts due to their proximity to economic incentives and prestigious universities. However, little is known about how economic reform has shaped the distribution of experts in the social science and humanities disciplines as they are less in demand on the market and often rely on support from the state. Using sociology as a unique case, this study investigates market and state influences on the regional distribution of sociology experts in Chinese universities based on city-level measurements. Sociology has a unique historical and paradigmatic connection with the state of China, which complicates any straightforward relationship between neoliberal policies and higher education inequality in sociology departments. Through a manual collection of 1,041 faculty profiles from 66 university websites, it was determined following the fractional logistic regression method that both the market and the state facilitate distribution. The city’s marketisation increases the internationalisation of faculty members in sociology departments, while the city’s position in the state’s administrative hierarchy maintains the sociology departments, regardless of the city’s marketisation. In general, the state still plays an important role in shaping academic expert distribution after 40 years of market reform in China.

Industrial green technology innovation has become an important content in achieving high-quality economic growth and comprehensively practicing the new development concept in the new era. This paper measures the efficiency of industrial green technology innovation and regional differences based on Chinese provincial panel data from 2005 to 2018, using a combination of the super-efficient SBM model for considering undesirable outputs and the Dagum Gini coefficient method, and discusses and analyses the factors influencing of the industrial green technology innovation efficiency by constructing a spatial econometric model. The results show that: firstly, the industrial green technology innovation efficiency in China shows a relatively stable development trend, going through three stages: " stationary period", " recession period " and "growth period ". However, the efficiency gap between different regions is obvious, specifically in the eastern > central > western regions of China, and the industrial green technology efficiency innovation in the central and western regions is lower than the national average. Secondly, regional differences in the efficiency of industrial green technology innovation in China are evident but tend to narrow overall, with the main reason for the overall difference being regional differences. In terms of intra-regional variation, variation within the eastern region is relatively stable, variation within the central region is relatively low and shows an inverted 'U' shaped trend, and variation within the western region is high and shows a fluctuating downward trend. Thirdly, the firm size, government support, openness to the outside world, environmental regulations and education levels contribute to the efficiency of industrial green technology innovation. In addition, the industrial structure hinders the efficiency of industrial green technology innovation, and each influencing factor has different degrees of spatial spillover effects.