Mediatization of the Media as Industrial Transformation

The article implements the idea of mediatization as a process of transformation of the mass communication industry. Nowadays, the current system of mass communication is under the pressure of digital transit, which is transgressive in nature and breaks traditional business patterns, requires business administration to make mental changes in thinking and management practices, and creates the highest level of tension among media managers. The article attempts to conceptualize (through the analysis of industrial points of tension: between television and online video - players of the cross-media dimension) some aspects of the digital transformation of the media industry and industrial management practices. Behind this transformation is the conflict between the digital environment generated by the relatively free development of the Internet and the purposefully organized and institutionalized state-controlled media.

Biorefinery Based on Waste Biomass

In a broad sense, all materials with a biological origin can be called biomass, which includes those materials that have been obtained from the direct conversion of solar energy, such as plants and crops, their residues, the materials obtained from their industrial transformation as well as subproducts and residues and the organic fraction of the municipal solid wastes [...]

Empirical Analysis on Promoting Industrial Transformation and Upgrading in Zhejiang Province by Enhancing Intellectual Property Protection

This paper aims to reveal the relationship between intellectual property protection (IPP) and industrial transformation and upgrading (T&U) in southeastern China’s Zhejiang Province. Taking five representative industries as objects, the shift-share analysis was adopted to measure the T&U level of each industry, with the total output in 2004–2019 as the basis. The results show that wholesale and retail, lodging and catering, finance, and real estate are the four advantageous industries. Further, the authors calculated Pearson’s correlation coefficients between IPP intensity and the T&U levels of the four industries. By the coefficients, the four industries can be ranked in descending order as lodging and catering (0.8743), real estate (0.6908), wholesale and retail (0.5891), and finance (0.5468). In addition, the IPP was found to be positively correlated with total manufacturing output (0.8027). Hence, the IPP can significantly promote the development of these five industries.

Construction and Analysis of Intelligent English Teaching Model Assisted by Personalized Virtual Corpus by Big Data Analysis

At present, a new round of scientific and technological revolution and industrial transformation with information technology at its core are accelerating. At present, a new round of scientific and technological revolution and industrial transformation with information technology at its core is accelerating. The challenge of new economy and new industry has put forward new requirements for the training of talents in China. The challenges of new economy and new industry have put forward new requirements for the cultivation of engineering talents in China. Based on corpus, this study constructed a model of intelligent English teaching assisted by virtual corpus. The traditional teaching of college English reading is based on, around, and for texts. Using DDL model, teachers can break the limitation of textbooks. On the basis of analyzing the general idea of the text, they can search out massive real corpus related to the general idea of the text by searching the core words in the text, so as to provide extensive reading resources for students in the maximum range. At the same time, teachers can rely on the corpus to design different types of teaching activities, realize student-centered task-based, inquiry-based, and autonomous learning and cultivate students’ critical thinking ability, practical ability, and cross-cultural communication ability. This model breaks the limitation of “classroom + textbook,” realizes student-centered task-based, exploratory, and autonomous learning, trains interdisciplinary new engineering talents needed by emerging industries and new economy in the future, and promotes the sustainable development of English teaching. Corpus-data-driven college English teaching mode breaks the limitation of “classroom + textbook,” changes the traditional college English teaching mode, and realizes student-centered task-oriented, inquiry-based, and autonomous learning.

Research on China interregional industrial transformation slowdown and influencing factors of industrial transformation based on numerical simulation

This paper, based on the numerical simulation research, has come out with findings, such as the sluggish interregional industrial transformation in China and the factors responsible for that, the need to define the new economic geography from the angle of geographic view, the need to have a theoretical model based on implementing development centre periphery, the use of element resources endowment system reference analysis, and the need for implementation of the numerical simulation of the model, and finally the need to clear the factors that influence the sluggish industrial transfer. The final results show that the factor resource endowment, transportation cost, and labour price are still impediments affecting industrial transfer. Since the development level of the manufacturing industry in eastern China has not reached the critical point of industrial transfer, it is necessary to to find out a pragmatic solution to achieve development.

The impact of taxation policies on the research and development of alternative fuel vehicle companies -- A case study of NIO Inc.

In the context of industrial transformation and green development, the strategic position of the alternative fuel vehicle industry has been continuously improved, and it has become a long-term key support object for China’s industrial policy. With the acceleration of the industrial development process, the market competition has intensified, and the phenomenon of insufficient enterprise research and development has gradually become serious. This paper uses the literature analysis method, the method of combining theory and practice, and the case analysis method. Take the alternative fuel vehicle emerging company NIO Inc. as a case to analyze the role of taxation policies in research and development (R&D) input and output, identify existing problems and make suggestions for improvement. This study can promote the development of China’s alternative fuel vehicle industry, adjust the relevant upstream and downstream industrial chains and the business structure of industry enterprises, and build an environmentally friendly society as soon as possible. It also has theoretical guiding significance for the overall construction and adjustment of China’s fiscal and taxation policies.