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In recent years, especially after the 2008 global financial crisis, the global economic recovery has been struggling. The trend of anti-globalization with populism and protectionism around the world is on the rise. As the largest developing country, China will engage in promoting global economic integration for common development of the world to promote the sustainable development and globalization. This paper will focus on the global operations of Chinese MNCs and explore their social responsibility to go global under the B&R Initiative, study their performance of social responsibility, analyze the potential risks and put forward countermeasures. Based on the report of the Top 100 Chinese MNCs released by China Entrepreneurs Association in 2016, we select 35 corporations related to the B&R, use their comparatively complete data and conduct a statistical analysis of their CSR data. To study the economic, social and environmental performance of CSR and sustainable development, we focus on three major indicators, including employee, environment and the public. Data from 2012 to 2016 are considered, for a total of five years. Through the analysis of CSR data, this paper points the social responsibility development status of major Chinese MNCs under the B&R Initiative and reveals some problems and risks that still exist in the fulfillment of social responsibility. In response to these issues, we make analysis from the perspective of stakeholders, so as to provide ideas for the development of social responsibility of the related corporations. At the initial stage of China's initiative of the Belt and Road, it is a new attempt to launch a research on the social responsibility of Chinese MNCs. Traditionally, research on CSR tends to make horizontal comparison of corporations in different countries and focuses on a certain year. Based on the traditional research and differ from them, we extend the time interval of research beyond a certain year and adopt the trend analysis to CSR data. In addition, case introduction is also used. According to the stakeholder theory and the comprehensiveness of the data, the research is focused on three main aspects, namely, employee, environment and the public. And, we have made a relative conversion of these indicators. These thoughts can examine the social responsibility development of related corporations in a given period and help promote the B&R Initiative.

The transformation towards the Green Economy (GE) in Poland is a relatively new topic for researchers, policymakers and business practitioners. A comprehensive picture of the shift towards the GE can help mentioned groups translate theoretical assumptions into practice.

This chapter presents the assessment of Poland's shift towards the GE, measured by the proposed Green Transformation Index (GTI).

The set of GE indicators was elaborated in Structured Literature Review (SLR) variation method. Then, this set of indicators was compared with the Statistics Poland (GUS) secondary data and employed in the taxonometric calculation methods.

In the result, the GTI for the Polish economy was proposed and calculated between 2007 and 2020. The GTI allowed us to present a dynamic analysis of the transformation towards GE in Poland.

The transformational prospects of the United Nations' 17 Sustainable Development Goals (SDGs) are doubtless. Nonetheless, finding the appropriate implementation mechanisms to accomplish these goals and their targets and deliver on the promise of Agenda 2030 is proving challenging. Using publicly available documentary evidence from Voluntary National Reviews and Sustainable Development Reports, we analysed the progress of environmental SDG implementation in BRICS (Brazil, Russia, India, China, South Africa) and MINT (Mexico, Indonesia, Nigeria, Turkey) countries. The findings reveal an overall implementation progress level of 64% and 62% in BRICS and MINT, respectively. Relatively, countries in BRICS outperformed their MINT counterparts in five of the six environmental SDGs analysed. Our assessment broadly notes a promising engagement with environmental SDGs in these blocs, albeit with limited progress, and the presence of impressionistic practices in reportage of successes compared with challenges. We highlight the critical environmental goals and areas for practical actions to accomplish Agenda 2030 moving forward. The study specifically draws the attention of policymakers to issues of climate action (SDG13) and affordable and clean energy (SDG7), where immediate actions are needed to ramp up environmental actions. Given the limited time left to accomplish Agenda 2030, the findings of this study provide timely insight into the environmental SDGs that are at risk of failure in these developing countries. The study significantly implicates developing countries' ability to achieve Agenda 2030 and provides practical and actionable policy measures that are urgently needed to address the situation.

This chapter investigates the behavior of Reddit’s news subreddit users and the relationship between their sentiment on exchange rates. Using graphical models and natural language processing, hidden online communities among Reddit users are discovered. The data set used in this project is a mixture of text and categorical data from Reddit’s news subreddit. These data include the titles of the news pages, as well as a few user characteristics, in addition to users’ comments. This data set is an excellent resource to study user reaction to news since their comments are directly linked to the webpage contents. The model considered in this chapter is a hierarchical mixture model which is a generative model that detects overlapping networks using the sentiment from the user generated content. The advantage of this model is that the communities (or groups) are assumed to follow a Chinese restaurant process, and therefore it can automatically detect and cluster the communities. The hidden variables and the hyperparameters for this model are obtained using Gibbs sampling.