25-th Anniversary Conference of the Chinese Studies Program in Sofia University “St. Kliment Ohridski”
The article examines new Chinese words in relation to social situation in modern PRC. Analysis of neologisms helps to make the conclusions about the main processes taking place in the cultural, economic and social life of the community nowadays, as well as reveal those trends that will define the social and economic climate in the country in the coming years. The vocabulary of modern Chinese people, especially the young citizens, quickly adding new lexical units, which fast become widespread thanks to the Internet community. That cases that this research is based both on the new words, officially recorded in last edition of the "Dictionary of Modern Chinese Language", and on the neologisms that became popular in the Internet in recent years, but not included in the dictionary. Due to the huge number of new words that have appeared over the last decade, this study aims to allocate certain lexical units, mainly analyze those words that closely related to the reform of the social system and economic life: including the names of certain groups of citizens with atypical behavioral models, specific property or marital status. A number of neologisms also linked to the new cultural concepts and value-orientations of young people.
Keywords: neologisms, Chinese language, Chinese society, sociolinguistics, policy of birth control in PRC, language of the Internet.
This paper examines the main approaches to the creation of modern foreign language courses”. The authors analyzed approaches to teaching Chinese language, existing in Russia and abroad. Presented results were already obtained in the process of implementing an educational project of the Higher School of Economics named "Speak freely". According to the results of this work authors selected the methodological approach that best suits the purpose of the course. It has been found an effective solution to combine these approaches in a single discipline "Practice of verbal communication in Chinese", that mainly aimed at developing students' communicative competence.
This text contains a report on the regular session work of the annual conference of young scientists “Meliksetov Readings” held on 30 March 2017 at the Institute of Practical Oriental Studies of the Moscow International Academy (MIA). For the first time the conference was organized in the MIA. The most remarkable thing was the expansion of the list of participants/ More undergraduate and graduate students, young scientists of leading universities and academic institutions in Moscow, St. Petersburg and other Russian cities and CIS countries took part in it. This report includes a review of the organizational and thematic structure of the conference as well as a list of the presentations which were met with the greatest interest by the audience.
The authors analyze the processes of Japan becoming an active participant of the world trade; identify cause-and-effect relations of the development of export and import of Japan. The authors point out the particular importance of the Asian market, which played an important role in the development of Japan as an exporter of industrial products and the development of the Japanese economy in the period from the “opening of the country” to the beginning of XX century.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.