Hubungan Volatilitas Harga Konsumsi Beras Terhadap Ketahanan Pangan di Jawa Timur

Anisa Nurina Aulia, Danu Indra Wardhana, Muhhammad Afifutoyyiba, Teguh Putra Pamungkas

Abstract


Food security policies have been established covering aspects of food availability, distribution and price stability, food access, and supporting policies. Stable food prices are generally also desired by the public because highly fluctuating prices have implications for the risks and uncertainties that must be faced in making decisions when prices fluctuate beyond the normal limits of price stabilisation, so the Government immediately intervenes, for example when price increases occur in rice commodities. Food price volatility will have a long-term impact on producer income and disrupt commodity trading activities and will make strategic commodity price fluctuations that occur causing food commodity market players, both producers and consumers, to experience difficulties in carrying out economic activities. Therefore, a risk analysis of food commodity prices is needed so that price fluctuations can be resolved immediately. Domestic prices fluctuate so much that this research is important to do to determine the volatility of the retail price of rice as the main food in East Java. Based on ARCH / GACRH analysis, the best model for rice price volatility at the consumption level is ARIMA (1,1) - GARCH (1,0), the volatility value obtained is 0.53 which is included in the low volatility level. While the relationship between rice price volatility and average weekly consumption per capita which illustrates the level of food security is 0.940, so there is a close relationship. So that the government is obliged to make policies so that rice prices remain stable at the consumer level, so that there are no price spikes that will affect food security.

Keywords


ARCH/GARCH, beras, harga, ketahanan pangan, volatilitas

References


Bakari, Anindita, dan Syafrial. (2013). Analisis Volatilitas Harga, Transmisi Harga, dan Volatility Spillover Pada Pasar Dunia CPO Dengan Pasar Minyak Goreng di Indonesia. Jurnal AGRISE Volume XIII No. 3 ISSN: 1412-1425

Food and Agriculture Organization. (2011). Price Volatility and Food Security. chrome- extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.fao.org/file, Diakses pada 20 November 2024

Gujarati, D. N. (2009). Basic Econometrics. Fourth Edition. New York. McGrawHill

Engle, R. F. (2003). Risk and Volatility: Econometrics Models and Financial Practice. Nobel Lecture, December 8, 2003. New York University, Department of Finance, New York.

Fryzlewicz, P., T. Sapatinas, and S. S. Rao. (2008). Normalized Least-Squares Estimation in Time-Varying ARCH Models. The Annals of Statistics, Vol. 36 (2): 742 – 786.

Kalkuhl, M., Braun V. J., , and Torero, M. (2016). Food Price Volatility and Its Implications for Food Security Mand Policy. https://doi.org/10.1007/978-3-319-28201-5. Springer Cham

Khadijat, B. Amolegbe, Joanna Upton, Elizabeth Bageant, Sylvia Blom. (2021). Food price volatility and household food security: Evidence from Nigeria, Food Policy,Volume 102, 102061, ISSN 0306-9192. https://doi.org/10.1016/j.foodpol.2021.102061

Lepetit,P, I. 2011. Price Volatility and Price Leadership in the EU Beef and Pork Meat Market.

Springer Sience & Business Media. Pp 85-105.

Nainggolan, Kaman. (2008). Ketahanan Dan Stabilitas Pasokan, Permintaan, Dan Harga Komoditas Pangan. Analisis Kebijakan Pertanian, 6(2), 114-139, doi:10.21082/akp.v6n2.2008.114-139.

Sumaryanto. (2009). Analisis Volatilitas Harga Eceran Beberapa Komoditas Pangan Utama dengan Model ARCH/GARCH. Jurnal Agro Ekonomi, 27 (2). 135 – 163. Pusat Analisis Sosial Ekonomi dan Kebijakan Pertanian Bogor, Bogor.

Steven, Haggblade, Nathalie M. Me-Nsope, John M. Staatz. (2017). Food security implications of staple food substitution in Sahelian West Africa, Food Policy,Volume 71,Pages 27- 38, ISSN 0306-9192,https://doi.org/10.1016/j.foodpol.2017.06.003.

Tse, Y. K., and A. K. C. Tsui. 2002. A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations. Journal of Business & Economic Statistics, Vol. 20 (3): 351 – 362.

Wang, P. 2003. Financial Econometrics Methods and Models. Routledge. New York.




DOI: http://dx.doi.org/10.25157/ma.v11i2.18373

Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 Anisa Nurina Aulia, Danu Indra Wardhana, Muhhammad Afifutoyyiba, Teguh Putra Pamungkas

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

___________________________________________________________________________________

Diterbitkan Oleh :

Fakultas Pertanian Universitas Galuh

Jl. RE Martadinata No. 150 Ciamis 46274

Telepon: 0265-7602739

Email: [email protected]

 

Ciptaan disebarluaskan di bawah Lisensi Creative Commons Atribusi 4.0 Internasional.

 __________________________________________________________________________________

Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis diindeks oleh: