Computational Models in the Economics of Environment and Development provides a step-by-step guide in designing, developing, and solving non-linear environment-development models. It accomplishes this by focusing on applied models, using real examples as case studies. Additionally, it gives examples of developing policy interventions based on quantitative model results. Finally, it uses a simple computer program, GAMS, to develop and solve models. This book is targeted towards university lecturers and students in economic modeling and sustainable development, but is also of particular interest to researchers at sustainable development research institutes and policy makers at international sustainable development policy institutions such the World Bank, UNDP, and UNEP.

Computational Models in the Economics of Environment and Development provides a step-by-step guide in designing, developing, and solving non-linear environment-development models. It accomplishes this by focusing on applied models, using real examples as case studies. Additionally, it gives examples of developing policy interventions based on quantitative model results. Finally, it uses a simple computer program, GAMS, to develop and solve models. This book is targeted towards university lecturers and students in economic modeling and sustainable development, but is also of particular interest to researchers at sustainable development research institutes and policy makers at international sustainable development policy institutions such the World Bank, UNDP, and UNEP.

The problems of interrelation between human economics and natural environment include scientific, technical, economic, demographic, social, political and other aspects that are studied by scientists of many specialities. One of the important aspects in scientific study of environmental and ecological problems is the development of mathematical and computer tools for rational management of economics and environment. This book introduces a wide range of mathematical models in economics, ecology and environmental sciences to a general mathematical audience with no in-depth experience in this specific area. Areas covered are: controlled economic growth and technological development, world dynamics, environmental impact, resource extraction, air and water pollution propagation, ecological population dynamics and exploitation. A variety of known models are considered, from classical ones (Cobb Douglass production function, Leontief input-output analysis, Solow models of economic dynamics, Verhulst-Pearl and Lotka-Volterra models of population dynamics, and others) to the models of world dynamics and the models of water contamination propagation used after Chemobyl nuclear catastrophe. Special attention is given to modelling of hierarchical regional economic-ecological interaction and technological change in the context of environmental impact. Xlll XIV Construction of Mathematical Models ...

Many regulations issued by the U.S. Environmental Protection Agency (EPA) are based on the results of computer models. Models help EPA explain environmental phenomena in settings where direct observations are limited or unavailable, and anticipate the effects of agency policies on the environment, human health and the economy. Given the critical role played by models, the EPA asked the National Research Council to assess scientific issues related to the agency's selection and use of models in its decisions. The book recommends a series of guidelines and principles for improving agency models and decision-making processes. The centerpiece of the book's recommended vision is a life-cycle approach to model evaluation which includes peer review, corroboration of results, and other activities. This will enhance the agency's ability to respond to requirements from a 2001 law on information quality and improve policy development and implementation.

The first step-by-step introduction to the methodology of agent-based models in economics, their mathematical and statistical analysis, and real-world applications.

This book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others. The chapters are the results of research presented at the International Workshop "Innovation, Complexity and Uncertainty in Economics and Business", held in Barcelona, in November 2019, by The Ibero-American Network for Competitiveness, Innovation and Development (REDCID in Spanish) and the Royal Academy of Economic and Financial Sciences (RACEF in Spanish). These papers are useful for junior and senior researchers in the area of economics and business.

Is economic growth good for the environment? A number of economists have claimed that economic growth can benefit the environment, recruiting political support and finance for environmental policy measures. This view has received increasing support since the early 1990s from empirical evidence that has challenged the traditional environmentalist's belief that economic growth degrades the environment. This book reviews the theoretical and empirical literature on growth and the environment, giving an in-depth empirical treatment of the relationship between the two. Various hypotheses are formulated and tested for a number of indicators of environmental pressure. The test results indicate that alternative models and estimation methods should be used, altering previous conclusions about the effect of economic growth on the environment and offering an insight into the forces driving emission reduction in developed countries.