Estimating Food Elasticities for Urban and Rural Households in Indonesia

Dian Hafizah, Dedi Budiman Hakim, Harianto Harianto, Rita Nurmalina

Abstract

This study aimed to analyze changes in household consumption patterns in rural and urban areas due to price changes in the rice commodity. The data sources used were the 2016 National Socio-Economic Survey (SUSENAS). Household food consumption data were grouped into ten food groups, while respondent households were grouped into four household groups, i.e., rich urban, poor urban, rich rural, and poor rural groups. The research methodology used was QUAIDS and Elasticity. The results showed that the characteristics of the four household groups on the variable number of household members and the age of the household head had almost the same average. However, the household heads were different in the variable of education length. The longest education was in the rich urban group, while the least was in the poor rural group. Likewise, the highest average income was the rich urban group, and the lowest was the poor rural group. As for commodities, the poor areas share that were greater than the rich ones are rice, other carbohydrates, fat, fruits, spices, and other ingredients. In contrast, the larger commodities in rich areas than in poor areas were meat, eggs-milk-and beans, vegetables, cigarettes, and prepared foods. Of the four commodity groups, the highest share was cigarettes and prepared foods, greater in rich areas than in poor areas, both for urban and rural areas. For the rice commodity, the household group with the highest share was the poor rural group of 0.23, while the smallest was the rich urban group of 0.1033

Full Text:

PDF

References

Amanaturrohim, H, and Widodo, J. 2016. Pengaruh Pendapatan dan Konsumsi Rumah Tangga terhadap Kesejahteraan Keluarga petani Penggarap Kopi di Kecamatan Candiroto, kabupaten Temanggung. Econ. Educ. Anal. J. 5(2):468–479.

Arivelarsan, T., and Sekar, C. 2019. Food Consumption Pattern of Cauvery Delta Region of Tamil Nadu-An Application of Quadratic Almost Ideal Demand System (QUAIDS). Economic Affairs 64(2): 361–66.

Arthatiani, F.Y., Kusnadi, N. and Harianto 2018. Analisis Pola Konsumsi dan Model Permintaan Ikan Menurut Karakteristik Rumahtangga Di Indonesia (Analysis of Fish Consumption Patterns and Fish Demand Model Based on Household’s Characteristics in Indonesia). Journal sosek KP 13(021): 73–86.

Banks, J., Blundell, R., and Lewbel, A. 2007. The Review of Economics and Statistics. The Review of Economics and Statistics 79(4): 527–39.

Bett, H. K., Musyoka, M.P., Peters, K.J. and Bokelmann, W. 2012. Demand for Meat in the Rural and Urban Areas of Kenya: A Focus on the Indigenous Chicken. Economics Research International 2012: 1–10.

Deaton, A. and Muellbauer, J. 1980. An Almost Ideal Demand System. The American Economic Review 70(3): 312–26.

Erhabor, P.O.I., and Ojogho, O. 2011. Demand Analysis for Rice in Nigeria. Journal of Food Technology 9(2): 66–74.

Gostkowski, M. 2018. Elasticity of Consumer Demand: Estimation Using a Quadratic Almost Ideal Demand System. Econometrics 22(1): 68–78.

Kumar, P., Kumar, A., Parappurathu, S., and Raju, S.S. 2011. Estimation of Demand Elasticity for Food Commodities in India. Agricultural Economics Research Review Vol. 24 January-June 2011: pp 1-14.

Laili, F., and Anindita, R. 2018. Household Level in East Java: Implementation of Quadratic. Jurnal Ekonomi Pertanian dan Agribisnis (JEPA) 2: 119–28.

Lantican, F.A., Sombilla, M.A. and Quilloy, K.P. 2013. Estimating the Demand Elasticities of Rice in the Philippines. Philippines: SEARCA.

Malian, A.H., Mardianto, S., and Ariani, M. 2016. Faktor-Faktor yang Mempengaruhi Produksi, Konsumsi Dan Harga Beras Serta Inflasi Bahan Makanan. Jurnal Agro Ekonomi 22(2): 119.

Miranti, A., Syaukat, Y., and Harianto, NFN. 2016. Pola Konsumsi Pangan Rumah Tangga di Provinsi Jawa Barat. Jurnal Agro Ekonomi 34(1): 67–80.

Nugroho, S., and Wardhani, S. 2016. Pola Permintaan Daging Tingkat Rumah Tangga di Indonesia: Analisa Data Mikro 2013 (Household Level Meat Demand Pattern in Indonesia : Micro Data Analysis 2013). Jurnal ekonomi dan pembangunan Indonesia 16(1): 47–58.

Oyinbo, O., Omelehin, R.A, and Abdulsalam, Z. 2013. Analysis of the Demand for Rice in Kaduna State, Nigeria. Agris online Papers in Economics and Informatics V(3): 45–53. https://www.researchgate.net/publication/281120874_Analysis_of_the_Demand_for_Rice_in_Kaduna_State_Nigeria

Pontoh, R., Palar, S.W., and Maramis, MTB. 2016. Permintaan dan Penawaran Beras di Indonesia (Pada Tahun 2003–Tahun 2013 ). Jurnal Berkala Ilmiah Efisiensi 16(04): 833–44. https://ejournal.unsrat.ac.id/index.php/jbie/article/view/13748

Setiawan, E., Hartoyo, S., Sinaga, B.M., and Hutagaol, M.P. 2016. Dampak Kebijakan Input, Output dan Perdagangan Beras terhadap Diversifikasi Pangan Pokok. Jurnal Agro Ekonomi 34(2): 81–104.

Virgantari, F. 2012. Analisis Permintaan Produk Perikanan di Indonesia: Suatu Studi Cross-Sectional. [Disertasi]. Fakultas Ekonomi dan Manjemen. Departemen Ekonomi Pertanian. IPB : Bogor

Wijayati, P.D., Harianto, N.F.N., and Suryana, A. 2019. Permintaan Pangan Sumber Karbohidrat di Indonesia. Analisis Kebijakan Pertanian 17(1): 13–26.

Yuliana, R. 2018. Permintaan Pangan Dan Perubahan Tingkat Kesejahteraan Rumahtangga di Indonesia. [Disertasi] Fakultas Ekonomi dan Manajemen. Departemen Ekonomi Pertanian. IPB: Bogor.

DOI: https://doi.org/10.25077/ijasc.4.2.73-79.2020

Refbacks

  • There are currently no refbacks.