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The purpose of this paper with pork as a case is to analyze Chinese consumer preference and demand for traceable food attributes, in order to provide a useful reference for Chinese Government in developing the safe food market and preventing food safety risks.

This research surveyed 1,380 consumers in seven pilot cities that designated by the Chinese Ministry of Commerce for the construction of a meat and vegetable circulation traceability system. A choice-based conjoint analysis and multinomial logit model were used to study consumer preferences and demand for traceable pork attributes.

The results demonstrated that certification of traceable information was the most important characteristic, followed by appearance and traceable information. Significant heterogeneity was obtained in consumer preferences for the attributes of traceable pork. Also, consumers’ preferences for traceable attributes were memorably influenced by age, education level, and income level.

Based on these results, the government should encourage and support the production of traceable food with different certification types and different traceability levels. Meanwhile, the development of food traceability systems should be combined with a quality certification labeling system.

This study extends the applicability of the setting of traceable food attributes and levels in China, and it will improve Chinese food traceability systems through multilateral cooperation.

This paper aims to obtain optimal specialization mode and level for complex network or system structures. In the e-commerce system, this paper studies the changes of each transaction subject in the process of ecological structure based on the income level of each transaction subject.

This paper aims to research the change of transaction efficiency evolution process of intermediaries. With the improvement of transaction efficiency, intermediaries interact with other transaction subjects at given modes in e-commerce systems. This paper analyzes the relationship between the factors of production and trade and explains the quantitative relationship between them in the form of mathematical modeling. An evolution simulation framework is established to elaborate the simulation process and method of crowd network in e-commerce ecosystem and then sets up the simulation experiment.

During simulation processes, the changes of data are observed and analyzed to obtain the optimal evolution paths and specialization modes. Furthermore, this paper provides solid supports for the research of the quantitative analysis of ecological structure evolutions.

Evolution simulation of ecological structure is first proposed in the topic of crowd network. It is with the aid of the concept of ecology, the theory and method, simulation of complex network structure and system structure. This paper analyses and researches the evolution process of optimal specialization modes and intelligent level of crowd networks with transaction efficiency changing. The ecological structure optimal evolution paths can be obtained by trend of simulations.

The purpose of this paper is to provide an understanding of principal preparation and training in China by providing a background discussion of principal preparation in a number of countries. As an illustration, it provides an overview of the curriculum used in the initial preparation of school principals at Beijing Normal University.

The paper draws mainly on writing and research from China, Australia and the USA to explore principal preparation and training in China.

In addition to providing a rich description of principal preparation in China, the paper's main findings comprise seven key challenges that confront China as it endeavours to provide quality principal preparation. These challenges include China's diversity and uneven social, cultural and educational development; limited resources in some regions throughout China; the place and importance of study tours for principal preparation; the teaching approach used to train principals; the process used for assessing principal learning during their training programs; the limited transfer of learning from the classroom to the school environment; and the timing of training for principals.

Each of the challenges arising here raises important practical implications for developers of principal training programs.

The paper paints a picture of principal preparation in China and raises a number of issues and challenges with which it continues to grapple. Of note is that China is not alone in facing some of these ongoing concerns.

The purpose of this paper is to explore the social responsibility performance’s current situation, influencing factors and mechanisms of multinational companies (MNCs) in China. The paper is based on the MNC’s social responsibility performance factors to find some relevant reasons for unsatisfied performance and on the multiple perspectives such as institutional distance and stakeholders, to provide feasible solutions for MNCs to assume civic responsibility and the high-quality development of the host country.

The study uses general literature review and empirical analysis to analyze the way and degree of various factors which are affecting the social responsibility of MNC in China, and supplements the deficiencies of previous studies.

The paper reveals the influencing factors and mechanisms of MNCs’ social responsibility in China through the regression results. In addition, based on Research Report on Corporate Social Responsibility of China (Huang et al., 2013/2019), the paper also summarizes the performance and dynamic changes of MNCs social responsibility in the Chinese market in the past decade.

The paper enriches research on the social responsibility of MNCs in the background of non-western countries, dynamically describes the performance of MNCs’ responsibilities in a 10-year span and solves the problem of inconsistent research conclusions caused by too long time span. The paper also creates the “local enterprise responsibility level” to quantify the development of the host country’s responsibility, and identifies the “responsibility demonstration effect” of state-owned enterprises and private enterprises.