Rotterdam Modeline Göre Talep Analizi: Kentsel Çin’in Değerlendirilmesi

Bu çalışma Çin’in Heilongjiang, Shandong ve Henan eyaletindeki hanehalkı gıda talebini gelir gruplarına göre analiz etmektedir. Veri seti, kentsel alanlarda hanehalkı düzeyindeki, gıda tüketim verilerinden oluşmaktadır. Veriler, ulusal hane halkı yıllık anketi olarak yürütülen Çin’in Ulusal İstatistik Bürosu'ndan (NBS) elde edilmiştir. Bu veriler gelir ve hanehalkı harcamalarını içermektedir. Söz konusu yıllık veriler ayni zamanda istihdam anketleri, sosyal güvenlik katılımı, konut fiyatları ve gelir dağılımını etkileyen faktörleri içermektedir. Bu nedenle, veri seti talep analizi için uygundur. Söz konusu veri setinden 6 farklı ürün ve ürün grubu seçilmiştir, bu ürünler; tahıl, et ürünleri, deniz ürünleri, süt ürünleri, taze meyveler ve diğer gıda ürünlerini kapsamaktadır. Ayrıca, Çin'in kentsel hane halkı anketi verileri kullanılarak, bireylerin yıllık gelir düzeyi düşük ve yüksek gelirli sınıflar olarak sınıflandırılmaktadır. Veri setinin analizinde Rotterdam modeli uygulanmaktadır. Model teorik olarak anlatıldıktan sonra SAS 9.4 programı kullanılarak uygulanmıştır.

Anahtar Kelimeler:

Talep Analizi, Esneklik, Rotterdam Modeli

Demand Analysis by Rotterdam Model: An Assessment of Urban China

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.

Keywords:

Demand Analysis, Elasticity, Rotterdam Model,

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