This book represents one of the first attempts by a multidisciplinary research team, encompassing the social sciences, business, architecture and planning, engineering, and finance and economics, to help rural communities discover sustainable and self-reliant paths to development and transformation. The opening chapter outlines the background of the research, its importance in the context of China and other countries, the rationale for choosing the case study communities in rural China, and the composition of the research team. Chapter 2 explores key issues in the role of social entrepreneurship and leadership in rural community development. Chapter 3 analyses a green platform for a pilot transaction of China forest carbon sinks led by the Huadong Forestry Exchange. The fourth chapter examines carbon trade, forestry land rights, and the livelihoods of farmers in rural Chinese communities. Chapter 5 explores alternative energy development in rural Chinese communities, where the poor are often disproportionately dependent on fuel wood and solid biomass, causing environmental degradation, reduced productivity and the decline of income generating opportunities. Chapter 6 examines and tests the proposition that stronger communities will result from ‘connected up’, holistic, synergistic and inclusive planning of services and supporting infrastructure. Chapter 7 analyzes information and communications technology (ICT) based service innovations for supporting rural community enterprises. Chapter 8 highlights key elements of stronger rural communities, drawing together the themes and proposals of preceding chapters and constructing an integrated model. The authors demonstrate that interconnected community enterprises based on clean forest products, forest carbon and ecotourism can be underpinned by local infrastructure enterprises such as renewable energy, water, waste management, ICT and transport, and financial mechanisms like carbon finance, all involving skills development, leadership and social entrepreneurship coupled with corporate and investment partnerships. Such interconnected approaches are expected to generate increased employment and prosperity, improve social livelihoods, and benefit the environment.
This volume contributes to the discussion of narratives as a research method by bringing together studies that illuminate the connection between narratives and social and political practices. The scholars from diverse fields and backgrounds offer their perspectives on the theoretical and empirical approaches to using narratives as research method.
This book describes grouping detection and initiation; group initiation algorithm based on geometry center; data association and track continuity; as well as separate-detection and situation cognition for group-target. It specifies the tracking of the target in different quantities and densities. At the same time, it integrates cognition into the application. Group-target Tracking is designed as a book for advanced-level students and researchers in the area of radar systems, information fusion of multi-sensors and electronic countermeasures. It is also a valuable reference resource for professionals working in this field.
This book provides an introduction to the analysis of stochastic dynamic models in biology and medicine. The main aim is to offer a coherent set of probabilistic techniques and mathematical tools which can be used for the simulation and analysis of various biological phenomena. These tools are illustrated on a number of examples. For each example, the biological background is described, and mathematical models are developed following a unified set of principles. These models are then analyzed and, finally, the biological implications of the mathematical results are interpreted. The biological topics covered include gene expression, biochemistry, cellular regulation, and cancer biology. The book will be accessible to graduate students who have a strong background in differential equations, the theory of nonlinear dynamical systems, Markovian stochastic processes, and both discrete and continuous state spaces, and who are familiar with the basic concepts of probability theory.
After a decade away from her ancestral family village, during which she became a writer and literary scholar in Beijing, Liang Hong started visiting her rural hometown in landlocked Hebei province. What she found was an extended family torn apart by the seismic changes in Chinese society, and a village hollowed-out by emigration, neglect, and environmental despoliation. Combining family memoir, literary observation, and social commentary, Liang's by turns moving and shocking account became a bestselling book in China and brought her fame. Across China, many saw in Liang's remarkable and vivid interviews with family members and childhood acquaintances a mirror of their own families, and her observations about the way the greatest rural-to-urban migration of modern times has twisted the country resonated deeply. China in One Village tells the story of contemporary China through one clear-eyed observer, one family, and one village.
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