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作者(中文):李岱鑫
作者(外文):Li, Dai Sin
論文名稱(中文):高雄果菜運銷公司高麗菜批發價格預測之研究 -蒐集私有資料的價值
論文名稱(外文):Forecasting Weekly Cabbage Price in Kaohsiung, Taiwan: The Value of Private Data
指導教授(中文):徐茉莉
指導教授(外文):Galit Shmueli
口試委員(中文):冼芻蕘
周瑞賢
口試委員(外文):Sin, Chor-Yao
Stephen Jui-Hsieh Chou
學位類別:碩士
校院名稱:國立清華大學
系所名稱:國際專業管理碩士班
學號:102077503
出版年(民國):104
畢業學年度:103
語文別:英文
論文頁數:55
中文關鍵詞:時間序列預測私有資料高麗菜價格供應鏈高雄傳統市場台灣農業經濟市場通路價格傳遞資料探勘
外文關鍵詞:Time Series ForecastingPrivate DataCabbage PriceSupply ChainKaohsiung MarketTaiwan’s Agriculture EconomicMarketing ChannelPrice DistributionData Mining
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本研究目的是探討私有資料在供需市場的價值。資料包含公開及私有資料。私有資料是經由高麗菜中盤商所蒐集,用以預測下周高雄果菜運銷公司高麗菜批發價格。
過去四十年來,台灣傳統農業面臨低生產率及缺乏國際競爭力的困境。台灣農業特性包含農業勞動者教育水準偏低和農業勞動人口逐年減少。
高麗菜是重要的民生必需品。蔬菜營銷問題一直是政府重要的課題。天然災害發生時,高麗菜零售價格會立即大幅上漲;相反的,當生產過剩時,市場價格時常會低於生產成本。這些現象促使本研究動機及引發預測高麗菜價格的興趣。
目前高雄果菜運銷公司高麗菜供應鏈面臨幾個問題。1)所有高麗菜供應鏈成員的菜價估計,全依賴個人的經驗及季節性因素。2)供應鏈成員缺乏一個科學的方法來分析和預測價格資訊。3)農委會2010年開始實施「大宗蔬菜種植登記暨供育苗量統計資訊系統」此資訊系統對高麗菜價格影響還是未知。
本研究整理高麗菜價格包含公開及私有資料共66周數據。私人數據是透過一位中盤商取得,從中盤商手寫筆記轉換成數位檔是一項大工程。我們目標是預測下周高雄果菜運銷公司高麗菜批發價格。本研究建構各種預測模型,其中包含公開資料及私有資料的各種組合,並評估各模型的預測準確性及誤差。我們發現,私有數據是非常有價值的,這對持續蒐集私人數據的高麗菜商是莫大的鼓舞。
關鍵字:時間序列預測、高麗菜價格、私有資料、高雄果菜運銷公司、台灣農業經濟、市場通路、價格傳遞、供應鏈、資料探勘。
This research aims to discover the value of private data on demand and supply, as collected by middleman in the cabbage supply chain in Taiwan, for the purpose of forecasting weekly cabbage prices.
Low productivity and lack of global competitiveness are two predicament traditional agriculture facing during past 40 years. Taiwan’s agriculture is unique, and its characteristics include agricultural workers with low educational levels and a decreasing population of agriculture workers.
Cabbage is an important crop in Taiwan. The cabbage marketing issue is important to the government. When a disaster occurs, vegetable retail price often suddenly upsurges, as has occurred in recent years. Conversely, when overproduction occurs, the market price is lower than production cost. These phenomena motivated this study and the need for price forecasting of cabbage.
Current difficulties that cabbage supply chain members in Kaohsiung Agricultural Products Marketing Company face are: 1) the estimated price of vegetables used by members of the supply chain still relies on personal experience and seasonal factors. 2) Supply chain members lack a scientific method to analyze and forecast pricing information. 3) In 2010, the government launched a new policy “The Database of Bulk Vegetables Planting, Registration and Seedlings Supply”. The effectiveness of this system for cabbage pricing is still unknown.
We obtained public and private data on cabbage prices for 66 weeks of data. The private data were obtained from a middleman and were converted from handwritten notes to digitized form. We focuses on forecasting weekly cabbage price, one a week ahead, in Kaohsiung, Taiwan. We fit models with and without the private data and evaluated one-week-ahead forecast accuracy. We find that private data is valuable. It means that private data improves forecasting performance. This is a great encouragement for the stakeholders in cabbage supply chain who continue to collect data.
Keyword: Time Series Forecasting, Cabbage Price, Private Data, Kaohsiung Market., Taiwan’s Agriculture Economic, Marketing Channel, Price Distribution, Supply Chain, Data Mining.
Index
List of Tables 3
List of Figures 4
CHAPTER 1: Introduction 5
1.1 Background and Motivation 5
1.2 Research Question 5
1.3 The Challenge 5
CHAPTER 2: Agricultural Risk in Taiwan 10
2.1 Taiwan’s Agriculture 10
2.2 The development Trend of Taiwan’s Agriculture over the Past Decade 11
2.3 Agricultural Risk in Taiwan 15
2.4 Government Assistance to Farmers 16
CHAPTER 3: Price Transmission & Market Channel 18
3.1 Price Transmission Study 18
3.2 Market Channel 20
3.3 Background on Vegetable Supply Chain 21
3.4 The Database of Bulk Vegetables Planting Registration and Seedlings Supply 25
CHAPTER 4: Methodology 28
4.1 Data 28
4.2 Data Collection 30
4.3 Data Treatment 33
4.4 Setup Data 33
4.5 Methods 34
CHAPTER 5: Result 41
5.1 Result 41
5.2 Evaluation 47
CHAPTER 6: Conclusion 50
6.1 Conclusion 50
6.2 The Impact of the Study on Taiwan Agriculture 51
6.3 Recommendations for Future Research 52
References 54
References
Council of Agriculture, E. Y. (2007). Taiwan Agricultural Development Overview. Retrieved from http://www.coa.gov.tw/view.php?catid=17920
Council of Agriculture, E. Y. (2012). Agriculture and Food Agency. Council of Agriculture, Executive Yuan .
Council of Agriculture, E. Y. (2013). The Analysis of the Agricultural Household Survey Sampling. Council of Agriculture, Executtive Yuan.
Dieectorate-General of Budget, A. a. (2014). National Sccounts Yearbook. Dieectorate-General of Budget, Accounting and Statistics Executive Yuan, Republic of China.
Directorate- General of Budget, A. a. (2015). Statistical Abstract of National Income. Directorate- General of Budget, Accounting and Statistics, Executive Yuan, R.O.C.(Taiwan).
Kaohsiung, N. U. (2013). To Explore the Agricultural Productivity under the Impact of Globalizaton by Agricultural Censuses in Taiwan. Directorate- General of Budget, Accounting and Statistics, Executive Yuan, R.O.C. (Taiwan).
Li, P. S. (2010). Market Disturbance and the Optimal Agricultural Price Target Zone. Taiwan: Feng Chia University.
Lin, N. X. (1984). Taiwan Vegetable Market pricing effort predict research. Taiwan: National Chung Hsing University.
Liu Yu Wen˙, Liao Chun Mei. (2005). The definition of Agricultiural Population and statistical analysis. Agricultural Policy and Agricultural Condition, p. 39.
Liu, ChingChuan, Hsiao, ChingKai. (2001). Explore the Promotion of the Mobility in Agricultural Land Using Right in Taiwan. Journal of Agricultural Economics, pp. 1-29.
Piggott, R.R., Piggott , & Wright, V.E. (1995). Approximating farm-level returns to incremental advertising expenditure: Methods and application to the Australian meat industry. American Journal of Agricultural Economics, pp. 497-511.
T. Chai and R.R. Draxler. (2014). Root mean square error (RMSE) or mean absolute error(MAE)?- Arguments against avoiding RMSE in the literature. Geosci. Model Dev. , pp. 1247-1250.
Tofallis, C. (2014). A better measure of relative prediction accuracy for model selection and model estimation. Journal of the Operational Research Society, p. 1057.
Vavra, P. and B. K. Goodwin. (2005). Analysis of Price Transmission Along the Food Chain. OOEC.
Weng, Y.-J. (2010). The Influence on Producer’s Revenue of Different Choice of Marketing Channel and their Price Distribution and Rationality Analysis - A Case of Taiwan Pineapple. Taiwan: Tunghai University.
Wu, G. (2007). The Impact of Agricultural Policies on the Utilization of Agricultural Land in Taiwan. Hwa Kang Journal of Agriculture, pp. 45-66.
Yang, J. Z. (2007). Price Transmission and Marketing Empirical Analysis of Banana and Pineapple Markets in Taiwan. Taiwan: National Taiwan Ocean University.
Zhang, L. H. (2010). The Database of Vegetables and Fruits Planting Registration and Grow Seedlings Supply in Bulk Amount. Agricultural Policy and Agricultural Condition, p. 61.
Zhuang, S. Y. (2002). Improved Traditional Market Management Methods Investigation - Kaohsiung Public Traditional Market as An Example. Kaohsiung.
 
 
 
 
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