Farm decision making under risk and uncertainty

被引:0
|
作者
Backus, GBC
Eidman, VR
Dijkhuizen, AA
机构
[1] UNIV MINNESOTA,DEPT AGR & APPL ECON,ST PAUL,MN 55108
[2] WAGENINGEN UNIV AGR,DEPT FARM MANAGEMENT,NL-6706 KN WAGENINGEN,NETHERLANDS
来源
关键词
decision making; risk; uncertainty; utility; scenario;
D O I
暂无
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The aim of this paper was to review relevant portions of the risk literature, to relate them to observed behaviour in farm decision-making, and to propose relevant topics for applied agricultural risk research. The concept of decision making under risk and uncertainty was discussed by reviewing the theory of Subjective Expected Utility and its limitations. Subjective Expected Utility theory is the major framework for thinking systematically through complex issues of decision. Limitations of Subjective Expected Utility theory were that its application to unique decisions is doubtful, that it does not contribute to difficulties in determining the available decision alternatives, and that it is cast in a timeless setting, making the theoretic framework to a very limited extent helpful to solve real world decision problems. Most empirical studies indicated that farmers are risk neutral to slightly risk averse. But it was doubtful whether decision makers could be classified according to their risk preferences. A presented overview of applied risk responses revealed much attention for diversification of the enterprise and of production practices, maintaining reserves, and farm expansion. Research reports on observed problems in farm decision making behaviour were lacking. Proposed topics for agricultural risk research included the assessment of the need for a strategic change, the creation of databases to determine both the (co)variances of input and output prices, the effectiveness of various kinds of decision support for different decision problems, and methods for applied scenario analysis to deal with long-run risk.
引用
收藏
页码:307 / 328
页数:22
相关论文
共 50 条
  • [1] Decision making under risk and uncertainty
    Johnson, Joseph G.
    Busemeyer, Jerome R.
    [J]. WILEY INTERDISCIPLINARY REVIEWS-COGNITIVE SCIENCE, 2010, 1 (05) : 736 - 749
  • [2] Emotion Regulation and Decision Making Under Risk and Uncertainty
    Heilman, Renata M.
    Crisan, Liviu G.
    Houser, Daniel
    Miclea, Mircea
    Miu, Andrei C.
    [J]. EMOTION, 2010, 10 (02) : 257 - 265
  • [3] The consumer conundrum: Decision making under risk and uncertainty
    Hobbs, Jill E.
    [J]. Governing Risk in the 21st Century: Lessons from the World of Biotechnology, 2006, : 73 - 83
  • [4] Decision making in the European Union under risk and uncertainty
    Merigo, Jose M.
    Lobato-Carral, Clemente
    Carrilero-Castillo, Agustin
    [J]. EUROPEAN JOURNAL OF INTERNATIONAL MANAGEMENT, 2012, 6 (05) : 590 - 609
  • [5] Risk-Averse Decision Making Under Uncertainty
    Ahmadi, Mohamadreza
    Rosolia, Ugo
    Ingham, Michel D.
    Murray, Richard M.
    Ames, Aaron D.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2024, 69 (01) : 55 - 68
  • [6] A Decision Support Approach for Group Decision Making under Risk and Uncertainty
    Li, Jiawei
    Kendall, Graham
    Pollard, Simon
    Soane, Emma
    Davies, Gareth
    Bai, Ruibin
    [J]. PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON LOGISTICS SYSTEMS AND INTELLIGENT MANAGEMENT, VOLS 1-3, 2010, : 1856 - +
  • [7] Decision making under uncertainty
    Pearl, J
    [J]. ACM COMPUTING SURVEYS, 1996, 28 (01) : 89 - 92
  • [8] Decision making under uncertainty
    Huettel, Scott A.
    [J]. FRONTIERS IN NEUROSCIENCE, 2013, 7
  • [9] Decision Making under Uncertainty: Insuring and Reinsuring Earthquake Risk
    Michel, Gero W.
    [J]. Earthquake Hazard, Risk and Disasters, 2014, : 543 - 568
  • [10] Stability analysis in the framework of decision making under risk and uncertainty
    Ivanov, Dmitry
    Arkhipov, Alexander
    Tolkacheva, Vera
    Sokolov, Boris
    [J]. NETWORK-CENTRIC COLLABORATION AND SUPPORTING FRAMEWORKS, 2006, 224 : 211 - +