Öz
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.
Anahtar Kelimeler
Kaynakça
- Andreyeva, T., M.W. Long, and K.D. Brownell. 2010. The Impact of Food Prices on Consumption: A Systematic Review of Research on the Price Elasticity of Demand for Food. American Journal of Public Health 100 (2): 216–22.
- Chen, D., Abler, D., Zhou, D., Yu, X., & Thompson, W. (2015). A meta-analysis of food demand elasticities for China. Applied Economic Perspectives and Policy, 38(1), 50-72.
- Clements, K. W., & Gao, G. (2015). The Rotterdam demand model half a century on. Economic Modelling, 49, 91-103.
- Green, R., Cornelsen, L., Dangour, A. D., Turner, R., Shankar, B., Mazzocchi, M., & Smith, R. D. (2013). The effect of rising food prices on food consumption: systematic review with meta-regression. Bmj, 346, f3703.
- Guneysu Atasoy, F (2019) Demand Analysis Of The Usa’s Meat Products: An Application Of Linear Approximate-Almost Ideal Demand System, In Atik, Atilla (editor), Research & Reviews in Social, Human and Administrative Sciences, (pp 171-180), Gece Publishing, New York, NY, USA. Available at: https://www.gecekitapligi.com/Webkontrol/uploads/Fck/SOCIAL_6.pdf
- Liu, H, and F Zhong. 2009. Food Consumption and Demand Elasticity: Evidence from Household Survey Data. Journal of Nanjing Agricultural University (Social Sciences Edition) 9 (3): 36–43.
- National Bureau of Statistics of China, (2018) http://www.stats.gov.cn/english/, access at: 17/10/2018.
- Washington, A. A., & Kilmer, R. L. (2002). The production theory approach to import demand analysis: A comparison of the Rotterdam model and the differential production approach. Journal of Agricultural and Applied Economics, 34(3), 431-443.
- Zheng, Z.,and Henneberry, S. R. (2009). “An analysis of food demand in China: a case study of urban households in Jiangsu province.” Review of Agricultural Economics, 31(4), 873-893.
- Zhou, D., Yu, X., & Herzfeld, T. (2015). Dynamic food demand in urban China. China Agricultural Economic Review, 7(1), 27-44.
Öz
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
Kaynakça
- Andreyeva, T., M.W. Long, and K.D. Brownell. 2010. The Impact of Food Prices on Consumption: A Systematic Review of Research on the Price Elasticity of Demand for Food. American Journal of Public Health 100 (2): 216–22.
- Chen, D., Abler, D., Zhou, D., Yu, X., & Thompson, W. (2015). A meta-analysis of food demand elasticities for China. Applied Economic Perspectives and Policy, 38(1), 50-72.
- Clements, K. W., & Gao, G. (2015). The Rotterdam demand model half a century on. Economic Modelling, 49, 91-103.
- Green, R., Cornelsen, L., Dangour, A. D., Turner, R., Shankar, B., Mazzocchi, M., & Smith, R. D. (2013). The effect of rising food prices on food consumption: systematic review with meta-regression. Bmj, 346, f3703.
- Guneysu Atasoy, F (2019) Demand Analysis Of The Usa’s Meat Products: An Application Of Linear Approximate-Almost Ideal Demand System, In Atik, Atilla (editor), Research & Reviews in Social, Human and Administrative Sciences, (pp 171-180), Gece Publishing, New York, NY, USA. Available at: https://www.gecekitapligi.com/Webkontrol/uploads/Fck/SOCIAL_6.pdf
- Liu, H, and F Zhong. 2009. Food Consumption and Demand Elasticity: Evidence from Household Survey Data. Journal of Nanjing Agricultural University (Social Sciences Edition) 9 (3): 36–43.
- National Bureau of Statistics of China, (2018) http://www.stats.gov.cn/english/, access at: 17/10/2018.
- Washington, A. A., & Kilmer, R. L. (2002). The production theory approach to import demand analysis: A comparison of the Rotterdam model and the differential production approach. Journal of Agricultural and Applied Economics, 34(3), 431-443.
- Zheng, Z.,and Henneberry, S. R. (2009). “An analysis of food demand in China: a case study of urban households in Jiangsu province.” Review of Agricultural Economics, 31(4), 873-893.
- Zhou, D., Yu, X., & Herzfeld, T. (2015). Dynamic food demand in urban China. China Agricultural Economic Review, 7(1), 27-44.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Bölüm | Araştırma Makaleleri |
| Yazarlar | |
| Yayımlanma Tarihi | 30 Aralık 2019 |
| Gönderilme Tarihi | 25 Kasım 2019 |
| Kabul Tarihi | 12 Aralık 2019 |
| Yayımlandığı Sayı | Yıl 2019 Cilt: 23 Sayı: 2 |
