Description

Book Synopsis
Risk and uncertainty are inescapable factors in agriculture which require careful management. Farmers face production risks from the weather, crop and livestock performance, and pests and diseases, as well as institutional, personal and business risks. This revised third edition of the popular textbook includes updated chapters on theory and methods and contains a new chapter discussing the state-contingent approach to the analysis of production and the use of copulas to better model stochastic dependency. Aiming to introduce agricultural decision making, probability and risk preference, this book is an indispensable guide for students and researchers of agriculture and agribusiness management.

Table of Contents
1: Introduction to Risk in Agriculture 2: Decision Analysis: Outline and Basic Assumptions 3: Probabilities for Decision Analysis 4: More about Probabilities for Decision Analysis 5: Attitudes to Risky Consequences 6: Integrating Beliefs and Preferences for Decision Analysis 7: Decision Analysis with Preferences Unknown 8: The State-contingent Approach to Decision Analysis 9: Risk and Mathematical Programming Models 10: Decision Analysis with Multiple Objectives 11: Risky Decision Making and Time 12: Strategies Decision Makers Can Use to Manage Risk 13: Risk Considerations in Agricultural Policy Making

Coping with Risk in Agriculture: Applied Decision

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    Order before 4pm today for delivery by Wed 17 Jun 2026.

    A Paperback / softback by J Brian Hardaker, Ruud B M Huirne, Jock R Anderson

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      View other formats and editions of Coping with Risk in Agriculture: Applied Decision by J Brian Hardaker

      Publisher: CABI Publishing
      Publication Date: 23/04/2015
      ISBN13: 9781780642406, 978-1780642406
      ISBN10: 1780642407

      Description

      Book Synopsis
      Risk and uncertainty are inescapable factors in agriculture which require careful management. Farmers face production risks from the weather, crop and livestock performance, and pests and diseases, as well as institutional, personal and business risks. This revised third edition of the popular textbook includes updated chapters on theory and methods and contains a new chapter discussing the state-contingent approach to the analysis of production and the use of copulas to better model stochastic dependency. Aiming to introduce agricultural decision making, probability and risk preference, this book is an indispensable guide for students and researchers of agriculture and agribusiness management.

      Table of Contents
      1: Introduction to Risk in Agriculture 2: Decision Analysis: Outline and Basic Assumptions 3: Probabilities for Decision Analysis 4: More about Probabilities for Decision Analysis 5: Attitudes to Risky Consequences 6: Integrating Beliefs and Preferences for Decision Analysis 7: Decision Analysis with Preferences Unknown 8: The State-contingent Approach to Decision Analysis 9: Risk and Mathematical Programming Models 10: Decision Analysis with Multiple Objectives 11: Risky Decision Making and Time 12: Strategies Decision Makers Can Use to Manage Risk 13: Risk Considerations in Agricultural Policy Making

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