A Study on the Price of Paddy in Taiwan–The Application of Big Data

• Main Authors: Fu-Rong Lee, 李芙蓉
• Other Authors: Shih-Hsun Hsu
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/eav325

碩士 === 國立臺灣大學 === 農業經濟學研究所 === 106 === This study chose paddy as the research topic and applied data exploration methods of big data to explore the hidden information of paddy price in Taiwan. The purpose was to (1) explore the probability distribution of paddy price by using data explore of big data to find out the leading and lagging areas of paddy price in Taiwan; (2) explore the distribution of high, mid, and low levels of the average price of paddy; (3) explore the variations of paddy price in different solar terms and the variations of paddy price at various regions with different solar terms; (4) explore the clustering patterns of paddy price in various regions. The data period is from January 1, 2012 to December 31, 2017. It covers 2,190 days and 15 different areas. Total number of original data is 32,850. The research results showed that the price-invariant days accounted for 43.91% of the total number of days, and the days of price falling and increasing accounted for 28.78% and 27.31% of the total days, respectively. The highest probability of price-invariant throughout the year was in February. The highest probability of paddy price falling in the whole year was in May. The highest probability of paddy price increasing in the whole year was in November. The standard deviation of the average price of paddy in each month indicated that January was the most stable month for paddy price throughout the year. July was the month of greatest variation in the year. The price-level distribution of the average price of paddy in the northern region falls at mid-price level and low-price level throughout the year. In the central region except Taichung City, most of the counties and cities are at high-price and mid-price level. In the southern region is similar to the northern region. In the eastern region except for Yilan County, it is located at high-price and mid-price level throughout the year. The annual price of paddy in Taitung County is located at the high-price level, but there are no high-price level in Taoyuan City, Hsinchu County, Miaoli County, Taichung City, Kaohsiung City, and Yilan County. From the solar terms analysis, except for Kaohsiung City and Yilan County which are low-price, the average price of paddy in the entire spring season falls at the high-price and mid-price level. In summer and autumn, other than Nantou County, Taitung County, and Hualien County kept the price level in the spring, all other counties and cities decreased to the mid-price and low-price level. During the winter season, except some areas indicated low price in the beginning of winter and small-snow period, all other counties and cities were located in mid-price and high-price level. Cluster analysis shows that Taitung County and Hualien County belong to the highest and second highest price group of paddy, respectively. Yunlin County, Nantou County, Changhua County, Pingtung County, Chiayi City, Chiayi County, and Tainan City are mid-price group, of which Yunlin County and Nantou County being the highest among the mid-price group, Chiayi City, Chiayi County, and Tainan City being the lowest of this group. Hsinchu County, Miaoli County, and Taichung City are the highest of the low-price group, and Taoyuan City and Kaohsiung City are the lowest of the low-price group. Keywords：Price of