Agricultural management economics : activity analysis and decision making
著者
書誌事項
Agricultural management economics : activity analysis and decision making
CAB International, c1994
大学図書館所蔵 全8件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Bibliography: p. 349-352
Includes index
内容説明・目次
内容説明
This book on agricultural management and decision making differs from other texts which tend to describe production economics followed by the presentation of analytical approaches. Instead, the processes of agricultural production and their management are couched in terms of activity analysis, since this permits greater integration of theory with practical evaluations. Analytical tools developed in the book involve the construction of spreadsheet models, and readers are able to construct their own PC spreadsheets from the book's examples and case studies. Economic principles are presented that will assist in improving the design of agricultural processes and technologies, in guiding their appropriate combination in a business setting, and with the making of decisions through time and in recognition of noncertainty. Activity analysis models that allow the design and combination of agricultural activities to be optimized are also discussed. These include single versus multiple objective models, investment models, and approaches that allow decisions to be optimized under conditions of noncertainty.
目次
1: Activity analysis and the process of agricultural production 2: A spreadsheet framework for activity analysis 3: Economic principles for activity design 4: Evaluation of activity combinations 5: Determining the optimum combination of activities 6: Linear programming techniques for agricultural decision making 7: Intertemporal decision making 8: International activity analysis 9: Management and noncertainty 10: Probabilistic activity analysis
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