查詢結果分析
來源資料
相關文獻
- Optimal Operations Rule for Government Stocks Under Multiple Policy Objectives--Application to the Case of Rice Policy in Taiwan
- 臺灣稻米市場開放政策模擬分析
- 稻農受稻米進口損害之救助金額決定--依中美農業諮商協議分析
- 政策調整對我國稻米生產結構的影響
- 國內學者與立法委員對大陸經貿政策意見之問卷調查分析
- 總體政策與選舉的關係--臺灣地區實證分析
- Determination of the Optimal Rice Stocks in Taiwan
- 因應WTO日本新的稻米政策
- 臺灣稻米政策之政治權數及其成因探討
- Trade Liberalization and the Rice Policy in Japan, Korea and Taiwan
頁籤選單縮合
題名 | Optimal Operations Rule for Government Stocks Under Multiple Policy Objectives--Application to the Case of Rice Policy in Taiwan=最適控制法在多政策目標之政府庫存操作上之應用--以臺灣稻米政策為例 |
---|---|
作者 | 黃璋如; | 書刊名 | 宜蘭技術學報 |
卷期 | 3 1999.12[民88.12] |
頁次 | 頁11-24 |
分類號 | 431.91 |
關鍵詞 | 稻米; 政策; 計量經濟模式; 政府庫存操作; 最適控制法; Rice; Policy; Econometric model; Government stock operation; Optimal control method; |
語文 | 英文(English) |
中文摘要 | 政府的稻米庫存操作,包括稻米收購、食米撥售、飼料米出售與稻米出口、以及 保證價格等,均是政府用來影響市場供需與價格以達成政策目標之政策(或控制)變數。然 而,利用這些政策變數欲同時達成多項政策目標,卻面臨政策目標之間的互相影響及互相矛 盾的情形。例如,若提高政府收購數量以提高農民所得,就會增加政府庫存壓力及出售陳米 之虧損。因此,本文採用Chow(鄒氏)所發展之最適控制法。該法之主要目的是在求得多 個政策變數在研究期間內各期之最適值,這些最適值應使所選擇出來之多個目標變數在該研 究期間盡量達到各期所期望之目標值。當目標變數不等於所設定之目標值時,就視其嚴重性 給予一個數字懲罰,利用最適控制模式能求得使全期懲罰總值總值最低的各期所有政策變數 之最適值。這個方法彌補了計量經濟不能同時使用多個政策變數以追求多個目標變數之限 制。 本文首先介紹所使用之最適控制法:接著研究台灣稻米市場之經濟體系及政府之操作, 並據此設立台灣稻米市場之經濟計量模式,讓模式亦作為最適控制模式之限制式;最後設立 台灣政府稻米庫存操作之最適控制模式。該最適控制模式包括了四個政府庫存操作之政策變 數,以及八個目標變數。利用此模式,本文研擬了四組可能之政策組合,並比較各組所產生 之目標變數的政策意義。 |
英文摘要 | The objective of this paper is to demonstrate the applicability of the approach of optimal control method by using the example of rice stock policy in Taiwan. First, the optimal control model used in this paper is briefly described. Thereafter, the problems confronted by Taiwan concerningi its rice policy are described. It is followed by describing the structure of the rice economy of Taiwan in the form of an econometric model prepared on the basis of the monthly data for 17 years. This econometric model is then used as a part of the suggested overall "optimal control" approach to illustrate the mechanics of the application of this approach to find out the likely outcomes under four policy alternatives / scenarios. The possibilities and limitations of the approach are mentioned in the last part of the paper. It is found that such a model, though complex, is more useful than the conventional forecasting model, for the simultaneous incorporation of several policy objectives, and examination of various policy prescriptions and their likely impact. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。