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Sonny Koeshendrajana, Freshty Yulia Arthatiani,and Fitria Virgantari

Judul : Price and Income Elasticities of Selected Fish Commodities In Indonesia: A Multi Stage Budgeting Framework
Abstrak :

Price and income elasticities are considered the main important parameters in analyzing demand for fish in Indonesia.  This study was estimated price and income elasticities of selected fish commodities in Indonesia.  A quadratic almost ideal demand system (QUAIDS) model was used to estimate those elasticities.  A multistage budgeting framework approach was applied in the model.  SUSENAS data of 2019 were used in this study.  The selected fish commodities were Tuna-Tongkol Cakalang (Tunas), Kembung (mackerel), Mas-Nila (Carps –Tilapia)  Lele (Catfish), Bandeng (Milkfish), Udang (Shrimp), Olahan (Processed fish) and other fresh fish.  National elasticities of selected fish commodities were illustrated in terms of different income groups, that is, low, mediun and high.  Study revealed that price elasticities were ranging of -0.7088 – -1.1686 (low income group), -0.8550 - -1.5119 (medium income group) and  -0.6933 - -1.1745 (high income group).  Income price elasticities were ranging of 1.1167 – 1.9561 (low income group), 0.9497-1.2963 (medium income group) and 0.6538 – 0.8559 (high income group).  Elasticity is greater than 1 indicating elastics, whereas less than 1 indicating inelasticsThe first section in your paper.

Tahun : 2021 Media Publikasi : Seminar Internasional
Kategori : Jurnal No/Vol/Tahun : 860 / 012059 / 2021
ISSN/ISBN : 10.1088/1755-1315/860/1/012059
PTN/S : Universitas Pakuan Program Studi : MATEMATIKA
Bibliography :

[1] Rachmat, M. & Erwidodo, F. (1993). Pendugaan Permintaan Pangan Utama di Indonesia: Penerapan Model Almost Ideal Demand System (AIDS) dengan Data SUSENAS 1990. Jurnal Agro Ekonomi, Vol. 12(2), 24-38. doi: http://dx.doi.org/10.21082/jae.v12n2.1993.24-38.

[2]     Dey, M.M. and Y. T. Garcia with P. Kumar, S. Piumsombun, M. S. Haque, L. Li, A. Radam, A. Senaratne, N. T. and S. Koeshendrajana.  (2008).  Demand for fish in Asia: a cross-country Analysis. The Australian Journal of Agricultural and Resource Economics, 52, pp. 321–338. doi: 10.1111/j.1467-8489.2008.00418.x.

[3]   Dey, M. M. (2000). Analysis of Demand for Fish in Bangladesh. Journal of Aquaculture Economics and Management, 4(1/2): 63-81. https://doi.org/10.1080/13657300009 380261.

[4]    Hattas, Z. (2011). Pola Konsumsi Masyarakat.  http://ekonkop.blogspot.com/ 2011/11/ polakonsumsi-masyarakat

{5]    Wijayanti, M. (2011). Analisis Preferensi Konsumen Dalam Membeli Daging Sapi Di Pasar Tradisonal Kabupaten Karanganyar. [Skripsi]. Fakultas Pertanian. Universitas Sebelas Maret. Surakarta.

[6]  Virgantari,  F.,  Daryanto,  A.,  Harianto,  &  Kuntjoro,  S.U.  (2011).  Analisis permintaan ikan di Indonesia: pendekatan model quadratic almost ideal demand   system   (QUAIDS).   Jurnal   Sosial   Ekonomi   Kelautan   dan Perikanan, 6(2): 191-203. DOI: http://dx.doi.org/10.15578/jsekp.v6i2.5772.

[7]    Virgantari, F. (2012). Analisis Permintaan Produk Perikanan di Indonesia: Suatu Studi Cross-Sectional. [Disertasi]. Bogor (ID): Institut Pertanian Bogor.

[8]  Arthatiani, F.Y., Kusnadi, N., & Harianto. (2018). Analisis Pola Konsumsi dan Model Permintaan Ikan Menurut Karakteristik Rumah Tangga di Indonesia. Jurnal Sosial Ekonomi Kelautan dan Perikanan, Vol 13(1): 73-86. doi:  http://dx.doi.org /10.15578/jsekp.v13i1.6967.

[9]    Koeshendrajana, S., T. Apriliani, F. Y. Arthatianim, B. Wardono dan E. Luhur.  (2020). Kajian Permintaan Ikan Rumah Tangga Dengan Pendekatan Multi Stage Budgeting : Analisis Data SUSENAS 2019. Seri Kajian Analisis Kebijakan Kelautan dan Perikanan  (Laporan Teknis).  Balai Besar Riset social Ekonomi Kelautan dan Perikanan.  Jakarta. 111 hal.

[10]   Yee, C.C., Tran, N., Dao, C.D., Sulser, T.B., Phillips, M.J., Batka , M., Wiebe, K., & Preston, N. (2017). Fish to 2050 in the ASEAN region. Working Paper. WorldFish. International Food Policy Research Institute (IFPRI).

[11]   Ministry of Marine Affairs and Fisheries (MMAF).  (2020).  Ministry of Marine Affairs and Fisheries in figures.  Ministry of Marine Affairs and Fisheries.  Jakarta.

[12]   Adli, P.E. (2019). Analisis Permintaan Daging Sapi, Daging Unggas dan Ikan Pada Rumahtangga di Propinsi Sumatera Barat (Penerapan Model Almost Ideal Demand System). [Tesis]. Padang, ID: Universitas Andalas.

[13]  Central Bureau of Statistics Indonesia. (2016). Persentase Pengeluaran Rata-rata per Kapita Sebulan Menurut Kelompok Barang di Indonesia Tahun 2010-2014. [internet]. [diunduh pada Maret 2016]. Tersedia pada: http:/bps.go.id

[13]  Yulia,  F. (2010). Pola konsumsi dan gaya hidup sebagai faktor resiko terjadinya hipertensi pada nelayan di Kabupaten Bintan, Provinsi Kepualauan Riau Tahun 2009. [Tesis]. Yogyakarta (ID): Universitas Gadjah Mada.

[14}  Deaton, A. & Muellbauer, J. (1980). An Almost Ideal Demand System. The American Economic Review, 70(3): 312–326.

[15]  Blundell, R.,  M. Browning and C. Meghir. (1994). Consumer demand and life cycle alocation of household expenditure.  Review of economic studies 61: 57-80.

[16]  Dale Heien and C.R. Wessells.  (1990) Demand systems estimation with microdata: a censored regression approach. Journal of Business & Economic Statistics, Vol. 8(3): 365-371. URL: http://www.jstor.org/stable/1391973.

[17]   Piumsombun S.,  M. M.  Dey, and F. J. Paraguas.   2003.  Analysis of Demand for Fish Consumed at Home in Thailand.  WorldFish Center, Bangkok.

[18]   Quang, C. L.  2005.  An Empirical Study of Food Demand in Vietnam.  Working Working Paper.  Departement of Economics,  Kansas State University,  Kansas.

[19]  Deaton, A.  (1998).  Getting Prices Right: What Should Be Done?  Journal of Economic Perspectives—Volume 12(1): 37–46.

[20]   Dey, M.  M.  2000Analysis of Demand for Fish in Bangladesh.  Journal of Aquaculture Economics and Management, 4(1/2): 63-81.

[21]   Shonkwiller, J. S. and  S. T. Yen.  1999.  Two Step Estimation of A Censored System Equations.  American Journal  of Agricultural Economics, 81: 972-982.

[22]   Banks, J., Blundell, R., Lewbel, A. (1997). Quadratic Engel Curve aTongkap (nd Consumer Demand. The Review of Economics and Statistics, Vol. 79(4): 527-39. https://doi.org/10.1162/003465397557015.

[23]   Nicholson, W. & Synder, C. (2010). Intermediate Microeconomics and Its Application Eleventh Edition. Ohio (US): South-Western, Cengage Learning.

[24]   Yanti & Murtala (2019);  Yanti, Z., & Murtala. (2019). Pengaruh Pendapatan, Jumlah Anggota Keluarga dan Tingkat Pendidikan Terhadap Konsumsi Rumah Tangga di Kecamatan Muara Dua Kota Lhokseumawe. Jurnal Ekonomika Indonesia, Volume VIII (02) Desember 2019 P-ISSN:2338-4123 E-ISSN:2614-7270.URL: Https://ojs.unimal.ac.id/index.php/

ekonomika/article/view/972.

[25]   Vidiawan & Tisnawati, (2015); Vidiawan, E., & N.M. Tisnawati. (2015). Analisis Pengaruh Pendapatan, Jumlah Anggota Keluarga Dan Pendidikan Terhadap Jumlah Konsumsi Rumah Tangga Miskin Di Desa Batu Kandik Kecamatan Nusa Penida Kabupaten Klungkung. E-Jurnal Ekonomi Pembangunan 4 [4]: 243-257. ISSN: 2303-0178. ojs.unud.ac.id.

[26]    Mantra, I. B. (2003). Demografi Umum. Jakarta : Pustaka Raja.

[27]   Adiana P. E. & N. L. Karmini. (2014). Pengaruh Pendapatan, Jumlah Anggota Keluarga,Dan Pendidikan Terhadap Pola Konsumsi Rumah Tangga Miskin di Kecamatan Gianyar. Jurusan Ekonomi Pembangunan.  Universitas Udayana.

[28]   Astuti, S. D., dan Taurina, F. S. (2012). Hubungan Tingkat Pendidikan Ibu dan Tingkat Pendapatan Keluarga dengan Status Gizi Anak Prasekolah dan Sekolah Dasar di Kecamatan Godean. KESMAS, 7(1): 15-20. Diakses dari http://journal.uad.ac.id/index.php/KesMas/article/ viewFile/1048/pdf_3

URL : https://iopscience.iop.org/article/10.1088/1755-1315/860/1/012059/meta

 

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