Formulating and Solving Nonlinear Integrated Ecological-Economic Models Using GAMS
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| Pubblicato in: | Computational Economics vol. 18, no. 2 (Oct 2001), p. 193 |
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| Autore principale: | |
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Springer Nature B.V.
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| Accesso online: | Citation/Abstract Full Text Full Text - PDF |
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| 100 | 1 | |a Duraiappah, Anantha Kumar | |
| 245 | 1 | |a Formulating and Solving Nonlinear Integrated Ecological-Economic Models Using GAMS | |
| 260 | |b Springer Nature B.V. |c Oct 2001 | ||
| 513 | |a Feature | ||
| 520 | 3 | |a In order to analyze, understand and prescribe natural resource management strategies, the decision making framework should ideally capture the dynamics of inter-dependency between the economic and ecological systems in an integrated manner. However, by including two complex systems within a single integrated framework makes many of the present analytical tools redundant. Computational models on the other hand are ideally suited to meet this challenge. The size and complexity of models solved through numerical techniques have increased exponentially over the last decade. This is especially true for non-linear optimization models. However, although the science of solving non-linear models has improved significantly, the solving of these models is still an art. In this paper, we look at the critical parameters that a modeler needs to be aware of when developing integrated economic-ecology models and some "tricks" to solve them with the minimum of effort through the use of the optimization software GAMS (General Algebraic Modeling System). [PUBLICATION ABSTRACT] | |
| 651 | 4 | |a Europe | |
| 653 | |a Natural resources | ||
| 653 | |a Decision making | ||
| 653 | |a Mathematical models | ||
| 653 | |a Studies | ||
| 653 | |a Computer based modeling | ||
| 653 | |a Economists | ||
| 653 | |a Economic models | ||
| 653 | |a Ecology | ||
| 653 | |a Software | ||
| 653 | |a Growth models | ||
| 653 | |a Programming languages | ||
| 653 | |a Natural resource management | ||
| 653 | |a Computer peripherals | ||
| 653 | |a Optimization | ||
| 653 | |a Ecosystems | ||
| 653 | |a Ecologists | ||
| 653 | |a Climate change | ||
| 653 | |a Linear analysis | ||
| 653 | |a Nonlinear analysis | ||
| 653 | |a Dependency | ||
| 653 | |a Resource management | ||
| 773 | 0 | |t Computational Economics |g vol. 18, no. 2 (Oct 2001), p. 193 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/215548614/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/215548614/fulltext/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/215548614/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |