Weidong Liu – författare

The people of China and its (widely differing) regions have not all benefited equally from the country’s rapid increase in prosperity, and the speed and timing of increases have varied across time and space. However, China has managed to help those left behind to catch up. These outcomes reflect a specific social model embedded in China’s cultural and political milieu. Exploring the Chinese Social Model presents new analysis and fresh research on how China deals with unequal development and inequality in the context of its surging economic growth.

The book sheds new light on the workings of China’s social model, going beyond binary notions of market and state, and considers the new facets of its socialist market economy. In exploring these questions, the authors consider what is special about China and what the Chinese model is all about.

The people of China and its (widely differing) regions have not all benefited equally from the country’s rapid increase in prosperity, and the speed and timing of increases have varied across time and space. However, China has managed to help those left behind to catch up. These outcomes reflect a specific social model embedded in China’s cultural and political milieu. Exploring the Chinese Social Model presents new analysis and fresh research on how China deals with unequal development and inequality in the context of its surging economic growth.

The book sheds new light on the workings of China’s social model, going beyond binary notions of market and state, and considers the new facets of its socialist market economy. In exploring these questions, the authors consider what is special about China and what the Chinese model is all about.

In four chapters and an introduction, this book systematically helps readers understand the development of the Geographical Sciences both in China and in the world during the past 30 years. 

Through data analysis of methodologies including CiteSpace, TDA, qualitative analysis, questionnaires, data mining and mathematical statistics, the book explains the evolution of research topics and their driving factors in the Geographical Sciences and its four branches, namely Physical Geography, Human Geography, Geographical Information Science and Environmental Geography. It also identifies the role of the Geographical Sciences in the analysis of strategic issues such as global change and terrestrial ecosystems, terrestrial water cycle and water resources, land change, global cryosphere evolution and land surface processes on the Tibetan Plateau, economic globalization and local responses, regional sustainable development, remote sensing modelling and parameter inversion, spatial analysis and simulation, and tempo-spatial processes and modelling of environmental pollutants. It then discusses research development and inadequacy of Chinese Geographical Sciences in the above-mentioned topics, as well as in the fields including Geomorphology and Quaternary environmental change, Ecohydrology, ecosystem services, the urbanization process and mechanism, medical and health geography, international rivers and transboundary environment and resources, detection and attribution of changes in land surface sensitive components, and uncertainty of spatial information and spatial analysis. It shows that the NSFC has driven the development in all these topics and fields. In addition, the book summarises trends of the Geographical Sciences in China and the research level in major countries of the world through an overview of geographical education in colleges and universities, the analysis of publications, citations and author networks of SCI/SSCI and CSCD indexed articles, and the description of Sino-USA, Sino-UK and Sino-German cooperation.

This book serves as an important reference to anyone interested in geographical sciences and related fields.

This book contains papers presented at the 2021 International Conference on Smart Technologies and Systems for Internet of Things, held on November 26–27, 2021, in Shanghai, China. It covers topics like distributed processing for sensor data in CPS networks, approximate reasoning and pattern recognition for CPS networks, distributed processing in mobile networking, data analytics for social media sensor data integration, data platforms for efficient integration with CPS networks, virtualized and cloud-oriented resources for data processing for CPS networks, machine learning algorithms for CPS networks, data security and privacy in CPS networks, sensor fusion algorithms, sensor signal processing, data acquisition and preprocessing technology, intelligent computing, data mining methods and algorithms, big data system solutions and tools platform, intelligent control and intelligent management, and operational situation awareness utilizing big data-driven intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in related areas.