Search Results - Gan-qiong LI

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  1. 1

    China agricultural outlook for 2015–2024 based on China Agricultural Monitoring and Early-warning System (CAMES) by Shi-wei XU, Gan-qiong LI, Zhe-min LI

    Published 2015-09-01

    The primary goal of Chinese agricultural development is to guarantee national food security and supply of major agricultural products. Hence, the scientific work on agricultural monitoring and early warning as well as agricultural outlook must be strengthened. In this study, we develop the China Agr...

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  2. 2

    Using Quantile Regression Approach to Analyze Price Movements of Agricultural Products in China by Gan-qiong LI, Shi-wei XU, Zhe-min LI, Yi-guo SUN, Xiao-xia DONG

    Published 2012-04-01

    This paper studies how the price movements of pork, chicken and egg respond to those of related cost factors in short terms in Chinese market. We employ a linear quantile approach not only to explore potential data heteroscedasticity but also to generate confidence bands for the purpose of price sta...

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  3. 3

    Price Transmission in China's Swine Industry with an Application of MCM by Shi-wei XU, Zhe-min LI, Li-guo CUI, Xiao-xia DONG, Fan-tao KONG, Gan-qiong LI

    Published 2012-12-01

    The paper studies the relationship, adjustment ability, path, efficiency and intensity of price transmission in the swine industry chain in China, which consists of the prices of corn, compound feed for fattening pig, piglet, pig and pork. Monthly prices covering a period of 18 yr (1994-2011) are an...

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  4. 4

    Prediction Model of Weekly Retail Price for Eggs Based on Chaotic Neural Network by Zhe-min LI, Li-guo CUI, Shi-wei XU, Ling-yun WENG, Xiao-xia DONG, Gan-qiong LI, Hai-peng YU

    Published 2013-12-01

    This paper establishes a short-term prediction model of weekly retail prices for eggs based on chaotic neural network with the weekly retail prices of eggs from January 2008 to December 2012 in China. In the process of determining the structure of the chaotic neural network, the number of input laye...

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