An Empirical Study on the Relationship between New Energy Vehicle' Export Sophistication and Industrial Structure Upgrading in China.

Following decades of reducing greenhouse gas emissions in the transportation industry, most car companies will stop producing petrol cars and promote the development of new energy vehicles in the near future, even in China. This study is based on energy vehicle exports using China's 31 provinces' panel data from 2010 to 2020. Considering that China mainly engages in processing trade, this study analyzes the domestic energy vehicle's export sophistication after deleting intermediate goods, measuring the relationship between export sophistication and industrial upgrading with static and dynamic panel models. Then, heterogeneity tests were deployed to examine the domestic export sophistication of three major economic belts partition. The results revealed that improving export sophistication is conducive to realizing China's industrial upgrading. China's new energy vehicles industry is positively affected by export sophistication, R&D, foreign direct investment, average GDP growth rate, market factors, and human resources over the long run. Regarding regional stratification, domestic export sophistication in the eastern and western regions has more significant effects on promoting industrial upgrading than in the central region. In particular, in western regions, every increase in export sophistication by one unit will bring a significant industrial upgrading effect. Given this, China's new energy vehicles should increase export sophistication to help the country's industrial upgrading.

An analysis of the development assistance for health (DAH) allocations for STD control in Africa.

The Sustainable Development Goals set by the United Nations recognize the importance of making progress in the eradication and treatment of sexually transmitted deceases (STD). STD are among the most widespread diseases in the world and have the highest prevalence in Sub-Saharan Africa. The current study explored the associations between the allocation of the development assistance for health (DAH) in 54 African countries and key development indicators - STD incidence, Gross Domestic Product per capita, health expenditure, and life expectancy at birth. It employed descriptive statistical methods, the matrix scatter plot analysis and the Pearson correlation test for this purpose. The findings indicated that there was a considerable increase in the volume of the DAH given to control and prevent STD in Africa over the period of 2002-2011. A statistically significant positive association was detected between the STD incidence and the health aid allocations. At the same time, the imbalance in the distribution of the health aid between the major and minor aid recipients in the continent increased. The study concludes by discussing policy implications that can be drawn from these findings.

Using bootstrapped quantile regression analysis for small sample research in applied linguistics: Some methodological considerations.

Quantitative applied linguistics research often takes place in restricted settings of an intact language classroom, workplace, phonetics laboratory or longitudinal sample. In such settings the samples tend to be small, which raises several methodological problems. The main aim of the current paper is to give a detailed explanation of methodological and practical implications inherent in a robust statistical method called bootstrapped quantile regression (BQR) analysis. Importantly for applied linguistics research, the BQR method could help to deal with methodological difficulties inherent in small sample studies. The current study employed a moderately small sample (N = 27) of students learning the Japanese language in a Malaysian public university. It examined the relationships between the students' language learning motivation (specifically, integrative orientation), the students' images or stereotypes about Japan and their global attitudes toward the target language country and its people. The findings indicated that there was a statistically significant relationship between the students' attitudes toward the target language country and their integrative orientation. In addition, these attitudes were found to be the most constant determinant of the integrative orientation. Besides the applied linguistics research, the BQR method can be used in a variety of the human sciences research where a sample size is small.

Determinants of antiretroviral therapy coverage in Sub-Saharan Africa.

Among 35 million people living with the human immunodeficiency virus (HIV) in 2013, only 37% had access to antiretroviral therapy (ART). Despite global concerted efforts to provide the universal access to the ART treatment, the ART coverage varies among countries and regions. At present, there is a lack of systematic empirical analyses on factors that determine the ART coverage. Therefore, the current study aimed to identify the determinants of the ART coverage in 41 countries in Sub-Saharan Africa. It employed statistical analyses for this purpose. Four elements, namely, the HIV prevalence, the level of national income, the level of medical expenditure and the number of nurses, were hypothesised to determine the ART coverage. The findings revealed that among the four proposed determinants only the HIV prevalence had a statistically significant impact on the ART coverage. In other words, the HIV prevalence was the sole determinant of the ART coverage in Sub-Saharan Africa.