Increasing carbon dioxide emissions from large-scale human activities have resulted in climate change and an increase in extreme weather events all around the world, resulting in significant human development crises. To overcome this issue, scientific consensus has been encouraging a global focus towards low carbon economics. For this purpose, the development of a framework for regional development cybernetics is an innovative approach. While the cybernetics approach requires that all sectors, such as industry, government, and citizens, and all levels, including global, national, and regional levels, engage in this closed-loop action, the implementation of climate strategies depends heavily on the regional level. Through the establishment of an innovative pedigree of model technologies, this book develops systematic quantificational methods, such as uncertain multi-objective programming models, systems dynamics model, econometric models, and ecological carrying capacity models, to simulate and solve the key issues affecting regional low carbon development, including greenhouse gas control, ecological capacity evaluation, regional economic prediction, energy structure optimization, land resource utilization, industrial structure adjustment, low carbon industrial chains, low carbon transportation systems and low carbon tourism. At the same time, decision makers are provided with many effective strategies to plan for regional low carbon development. This book also provides researchers with a new perspective from which to pursue solutions to key social problems using quantitative techniques. This book, with its focus on climate change, social science, economic development, low carbon economics, and management science, is ideal for researchers, practitioners, engineers, graduate students, and upper-level undergraduates.

 

A “hybrid” approach is introduced to provide an innovative, trans-disciplinary approach to low carbon economics, including aspects such as control, learning, cognition, adaptation and emergence Offers essential concepts, theories, methods, and techniques for upper undergraduates, graduates, practitioners and researchers engaging in the relevant research jobs and practical operations Some quantificational technologies, such as uncertain multi-objective programming models and system dynamics models, are applied to predict and optimize the carbon intensity in many important fields for regional low carbon development, providing references for researchers in economic and environmental fields A series of successful application cases have been predicted for regional low carbon development and many useful policy recommendations are also provided by practical research, helping policy makers to draw up plans for regional low carbon development Includes supplementary material: sn.pub/extras

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