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Statistical Research On Vegetable Price System In Beijing

Posted on:2017-04-01Degree:MasterType:Thesis
Country:ChinaCandidate:J J WuFull Text:PDF
GTID:2309330482988575Subject:Statistics
Abstract/Summary:PDF Full Text Request
Vegetables are one of the most important crops in China, but also the important necessities of the people’table and they are popular with people. In recent years, China’s vegetable market price fluctuated radically and the frequent price fluctuation was in the "roller coaster" type. "Vegetable base hurt farmers", "Dish you hurt people" phenomenon appeared repeatedly, which has become the focus of the government, scholars and the media. The wholesale and retail markets are two of the upstream and downstream markets of the terminal of the transmission chain of agricultural prices. From the relationship between these two markets and the consumer, relative to the wholesale market, the retail market closer to consumers. As the main body of different agricultural products, both prices will have their own control, which can form a certain pricing power. So when vegetables entering into the Sales market, what happens to the price, what relationship exists between vegetable wholesale price and retail price actually, this is a problem worthy of study.This paper selects six representative vegetables and respectively analyze price of vegetables in wholesale market and retail market and the relationship between the wholesale market and retail market. It is concluded that the high correlation vegetables in wholesale market and retail market can establish a smooth vector autoregressive model, but the impact of the model is not the same. According to the analysis of the relationship between wholesale and retail prices of vegetables, it is concluded that all regression model are significant. That is to say there is the possibility that wholesale prices of vegetable prices are used instead of retail prices in the CPI Compilation. We should strengthen the monitoring of the wholesale market price, and use of wholesale price data which released by the network to estimate the retail price, so as to simplify the work of CPI. At the same time, through promotion of greenhouse production technology, we can improve vegetable production and production efficiency and avoid vegetable prices during the Spring Festival and seasonal fluctuations.
Keywords/Search Tags:Vegetable prices, Vector autoregressive model, Multiple regression, Spring Festival effect, Seasonal fluctuation
PDF Full Text Request
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