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Mathematical Programming for Agricultural Environmental and Resource Economics 1st Edition by H Kaiser, Kent D Messer ISBN 0470599367 9780470599365

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Mathematical Programming for Agricultural Environmental and Resource Economics 1st Edition H. Kaiser Digital Instant Download

Author(s): H. Kaiser, Kent D. Messer
ISBN(s): 9780470599365, 0470599367
Edition: 1
File Details: PDF, 6.66 MB
Year: 2012
Language: english
SKU: EB-2505296 Category: Tags: ,

Mathematical Programming for Agricultural Environmental and Resource Economics 1st Edition by H Kaiser, Kent D Messer – Ebook PDF Instant Download/Delivery: 0470599367, 9780470599365
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ISBN 10: 0470599367 
ISBN 13: 9780470599365
Author: H Kaiser, Kent D Messer

Mathematical Programming Models for Agriculture, Environmental, and Resource Economics provides a comprehensive overview of mathematical programming models and their applications to real world and important problems confronting agricultural, environmental, and resource economists. Unlike most mathematical programming books, the principal focus of this text is on applications of these techniques and models to the fields of agricultural, environmental, and resource economics. The three fundamental goals of the book are to provide the reader with: (1) a level of background sufficient to apply mathematical programming techniques to real world policy and business to conduct solid research and analysis, (2) a variety of applications of mathematical programming to important problems in the areas of agricultural, environmental, and resource economics, and (3) a firm foundation for preparation to more advanced, Ph.D. level books on linear and/or nonlinear programming. Despite its introductory nature, the text places significant emphasis on real world applications of mathematical programming to decision problems. A wide array of examples and case studies are used to convey the various programming techniques available to decision analysts.

Mathematical Programming for Agricultural Environmental and Resource Economics 1st Table of contents:

1: Introduction to Mathematical Programming

1.1 Overview of Mathematical Programming
1.2 Key Concepts in Agricultural, Environmental, and Resource Economics
1.3 Applications of Mathematical Programming in Agriculture and the Environment
1.4 Structure and Goals of the Book
1.5 Basic Assumptions in Mathematical Modeling

2: Linear Programming (LP) in Agricultural Economics

2.1 Introduction to Linear Programming
2.2 Formulation of Linear Programming Problems
2.3 Simplex Method and Sensitivity Analysis
2.4 Applications of LP in Agricultural Economics
2.5 Case Study: Crop Production and Land Allocation
2.6 Limitations of Linear Programming

3: Nonlinear Programming (NLP) in Environmental Economics

3.1 Introduction to Nonlinear Programming
3.2 Formulation of Nonlinear Optimization Problems
3.3 Solving NLP Problems: Methods and Algorithms
3.4 Environmental Applications of Nonlinear Programming
3.5 Case Study: Optimal Water Management and Pollution Control
3.6 Challenges in Solving Nonlinear Problems

4: Dynamic Programming for Resource Management

4.1 Introduction to Dynamic Programming
4.2 Time Horizon and Stages in Dynamic Models
4.3 The Bellman Equation and Recursive Methods
4.4 Applications in Resource Economics: Fisheries, Forestry, and Water Management
4.5 Case Study: Optimal Harvesting of Renewable Resources
4.6 Limitations of Dynamic Programming

5: Stochastic Programming in Agriculture and Environment

5.1 Introduction to Stochastic Programming
5.2 Uncertainty and Risk in Agricultural and Environmental Models
5.3 Stochastic Optimization Techniques: Expected Value and Scenarios
5.4 Applications of Stochastic Programming in Agriculture
5.5 Case Study: Crop Insurance and Risk Management
5.6 Challenges in Stochastic Programming

6: Integer and Mixed-Integer Programming in Resource Allocation

6.1 Introduction to Integer and Mixed-Integer Programming
6.2 Formulation of Integer and Mixed-Integer Programming Problems
6.3 Solution Techniques for Integer Programming
6.4 Applications in Agricultural Land Use and Resource Allocation
6.5 Case Study: Land Use Planning and Crop Rotation Models
6.6 Limitations and Challenges

7: Optimization under Uncertainty: Robust and Fuzzy Programming

7.1 Introduction to Robust Optimization
7.2 Fuzzy Logic in Agricultural and Environmental Economics
7.3 Formulation and Solution Methods for Robust and Fuzzy Models
7.4 Applications in Agricultural Policy and Environmental Protection
7.5 Case Study: Robust Water Resource Management
7.6 Challenges and Opportunities

8: Multi-objective Optimization in Agricultural and Environmental Systems

8.1 Introduction to Multi-objective Optimization
8.2 The Pareto Optimal Set and Trade-offs in Resource Allocation
8.3 Methods for Solving Multi-objective Problems: Weighted Sum and Epsilon-Constraint
8.4 Applications in Sustainable Agriculture and Ecosystem Management
8.5 Case Study: Balancing Economic, Environmental, and Social Objectives
8.6 Challenges and Future Directions

9: Game Theory and Strategic Decision Making in Resource Economics

9.1 Introduction to Game Theory in Economics
9.2 Cooperative vs Non-cooperative Games
9.3 Applications of Game Theory in Agricultural and Environmental Economics
9.4 Case Study: Negotiating Water Allocation and Resource Management Agreements
9.5 Challenges in Applying Game Theory

10: Agricultural and Environmental Policy Modeling

10.1 Introduction to Policy Modeling and Analysis
10.2 Types of Economic Models Used in Policy Analysis
10.3 Policy Analysis Using Mathematical Programming
10.4 Case Study: Agricultural Subsidy Programs and Environmental Regulations
10.5 Future Directions in Policy Modeling

11: Computational Tools for Mathematical Programming

11.1 Software for Linear and Nonlinear Programming
11.2 Advanced Computational Techniques for Resource Economics
11.3 Implementing Models in Python, GAMS, and MATLAB
11.4 Case Study: Implementing Agricultural Models in Software
11.5 Challenges in Computational Modeling

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Tags: H Kaiser, Kent D Messer, Mathematical Programming, Agricultural Environmental