Abstract:

This study analyzes food demand of household by income category in Heilongjiang, Shandong and Henan provinces in urban China.  The data set includes household level observation on food consumption in urban areas. The data is derived from National Bureau of Statistics (NBS) which is conducted as a national household annual survey.  It includes: income and households’ expenditure. The annual survey also covers social security participation, house pricing, production investment, and some other variable related with income distribution. Therefore, the data set is appropriate for demand analysis. First 6 different food categories are chosen which are grain, meat products, aquatic products, dairy products, fresh fruits, and others. Also, households are categorized by individuals’ yearly income level as low-, and high-income classes, using these three provinces data. The Rotterdam model is applied in the analysis of data set. The model is explained theoretically then applied using SAS 9.4 software. 

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