The Effect of Branding on Farm-gate Prices of Guava: A Case Study of Kaohsiung

碩士 === 國立臺灣大學 === 農業經濟學研究所 === 106 === The research is observing the difference farm-gate price of guava. This study used the time series analysis and the methods of Exponential Smoothing (ES), Error Trend Seasonal (ETS), Autoregressive Integrated Moving Average Model (ARIMA), to analysis and foreca...

Full description

Bibliographic Details
Main Authors: Chien-Chih Liu, 劉建志
Other Authors: Kang Liu
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/hcb7ep
id ndltd-TW-106NTU05412023
record_format oai_dc
spelling ndltd-TW-106NTU054120232019-05-30T03:50:44Z http://ndltd.ncl.edu.tw/handle/hcb7ep The Effect of Branding on Farm-gate Prices of Guava: A Case Study of Kaohsiung 品牌化對芭樂產地價格之影響:以高雄為例 Chien-Chih Liu 劉建志 碩士 國立臺灣大學 農業經濟學研究所 106 The research is observing the difference farm-gate price of guava. This study used the time series analysis and the methods of Exponential Smoothing (ES), Error Trend Seasonal (ETS), Autoregressive Integrated Moving Average Model (ARIMA), to analysis and forecast the farm-gate price of guava in Kaohsiung, Taiwan. The farm-gate price data is divided into four production areas for observation, forecasting, and analysis. According to the results of the research, there are indeed price differences between different sources of production areas and such price differences may exist in different production and management of the product, or in the quality of the products themselves. There is a special operating system named “Common choice & Common pricing” in Yan-Chao farm-gate area as well. It is also a possibility of different marketing operations for branding as named “Yanzichao” which in turn affected the farm-gate price of different farms indirectly. At the same time, based on the time series data of previous years of farm-gate price, through the simulation of exponential smoothing simulation, EST simulation and ARIMA model, a prediction model of the farm-gate price was established, and what price forecasting model was most suitable has been compared in the research. Holt-Winters model is the most suitable method for farm-gate pricing prediction of A-Lian and Yan-Chao. On the other hand, the ETS model is quite suitable for Da-She and Mei-Non area to make the forecast of farm-gate price as well. Finally, the prediction of the farm-gate price of guava will be used to assist the farmer to increase their mastery of future farm-gate prices. At the same time, the purchase behavior of the latter stage will also be able to grasp the information of different farm-gate prices as well. Kang Liu 劉鋼 2018 學位論文 ; thesis 69 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺灣大學 === 農業經濟學研究所 === 106 === The research is observing the difference farm-gate price of guava. This study used the time series analysis and the methods of Exponential Smoothing (ES), Error Trend Seasonal (ETS), Autoregressive Integrated Moving Average Model (ARIMA), to analysis and forecast the farm-gate price of guava in Kaohsiung, Taiwan. The farm-gate price data is divided into four production areas for observation, forecasting, and analysis. According to the results of the research, there are indeed price differences between different sources of production areas and such price differences may exist in different production and management of the product, or in the quality of the products themselves. There is a special operating system named “Common choice & Common pricing” in Yan-Chao farm-gate area as well. It is also a possibility of different marketing operations for branding as named “Yanzichao” which in turn affected the farm-gate price of different farms indirectly. At the same time, based on the time series data of previous years of farm-gate price, through the simulation of exponential smoothing simulation, EST simulation and ARIMA model, a prediction model of the farm-gate price was established, and what price forecasting model was most suitable has been compared in the research. Holt-Winters model is the most suitable method for farm-gate pricing prediction of A-Lian and Yan-Chao. On the other hand, the ETS model is quite suitable for Da-She and Mei-Non area to make the forecast of farm-gate price as well. Finally, the prediction of the farm-gate price of guava will be used to assist the farmer to increase their mastery of future farm-gate prices. At the same time, the purchase behavior of the latter stage will also be able to grasp the information of different farm-gate prices as well.
author2 Kang Liu
author_facet Kang Liu
Chien-Chih Liu
劉建志
author Chien-Chih Liu
劉建志
spellingShingle Chien-Chih Liu
劉建志
The Effect of Branding on Farm-gate Prices of Guava: A Case Study of Kaohsiung
author_sort Chien-Chih Liu
title The Effect of Branding on Farm-gate Prices of Guava: A Case Study of Kaohsiung
title_short The Effect of Branding on Farm-gate Prices of Guava: A Case Study of Kaohsiung
title_full The Effect of Branding on Farm-gate Prices of Guava: A Case Study of Kaohsiung
title_fullStr The Effect of Branding on Farm-gate Prices of Guava: A Case Study of Kaohsiung
title_full_unstemmed The Effect of Branding on Farm-gate Prices of Guava: A Case Study of Kaohsiung
title_sort effect of branding on farm-gate prices of guava: a case study of kaohsiung
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/hcb7ep
work_keys_str_mv AT chienchihliu theeffectofbrandingonfarmgatepricesofguavaacasestudyofkaohsiung
AT liújiànzhì theeffectofbrandingonfarmgatepricesofguavaacasestudyofkaohsiung
AT chienchihliu pǐnpáihuàduìbālèchǎndejiàgézhīyǐngxiǎngyǐgāoxióngwèilì
AT liújiànzhì pǐnpáihuàduìbālèchǎndejiàgézhīyǐngxiǎngyǐgāoxióngwèilì
AT chienchihliu effectofbrandingonfarmgatepricesofguavaacasestudyofkaohsiung
AT liújiànzhì effectofbrandingonfarmgatepricesofguavaacasestudyofkaohsiung
_version_ 1719195325034397696