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December 19, 2024
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March 4, 2025
Published
March 14, 2025
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Abstract

Regional economic factors, income levels, and the availability of substitutes influence the demand for beef, chicken, and eggs in Indonesia. Beef is considered a luxury commodity in higher-income areas and exhibits greater price sensitivity in lower-GDP regions. Chicken, a staple protein source, generally demonstrates inelastic demand but increases price sensitivity in the lower GDP areas. Eggs, being more affordable, exhibit higher price elasticity, particularly in lower-GDP regions, and often complement beef consumption. This study examines the own-price, cross-price, and income elasticities for beef, chicken, and eggs in Indonesia, comparing these effects across provinces with varying income per capita levels. The research utilized secondary data from the Central Statistics Agency, encompassing per capita commodity consumption, consumption values, and prices from 2013 to 2023 across 33 provinces. The Almost Ideal Demand System (AIDS) model analyzed the interrelated consumption of beef, broiler chicken, and eggs. Certain provinces were excluded due to data limitations, particularly in newly formed regions with insufficient historical records. The findings of this research indicate that price sensitivity, regional economic factors, and consumer preferences influence the demand for beef, chicken, and eggs. Income disparities affect substitution patterns, wherein rising chicken prices lead to increased beef consumption, while eggs complement beef and premium varieties are perceived as luxury goods. Consequently, there is a necessity for policies addressing regional economic disparities, food security, and affordability, especially as premium products such as organic eggs become more prevalent and the cost of animal proteins increases.

Keywords

AIDS beef chicken demand elasticity

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Copyright (c) 2025 Rulianda Purnomo Wibowo, Dian Pebriyani, Titien Indrawati, Muhammad Khaliqi

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How to Cite
Wibowo, R. P., Pebriyani, D., Indrawati, T., & Khaliqi, M. (2025). How Beef, Chicken, and Egg Demand Elasticities Vary with Income in Indonesia. Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian Dan Agribisnis, 24(01), 361–384. https://doi.org/10.31186/jagrisep.24.01.361-384
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References

  1. Afifi, M. F. M. (2022). Estimating The Elasticity of Demand for Some Sources of Animal Protein in Egypt. Asian Journal of Agricultural Extension, Economics & Sociology, 66–80. doi: 10.9734/ajaees/2022/v40i830938
  2. Andari, Y. (2020). Analysis of Financial and Income disparity Between Rural-Urban Areas in Indonesia. Eko-Regional Jurnal Pengembangan Ekonomi Wilayah, 15(1). doi: 10.20884/1.erjpe.2020.15.1.1441
  3. Ani, S. W., & Antriyandarti, E. (2019). Analysis of Household Demand for Chicken Meat in Yogyakarta. IOP Conference Series: Earth and Environmental Science, 347(1), 1-7. doi: 10.1088/1755-1315/347/1/012119
  4. Anindita, R., Sadiyah, A. A., & Khoiriyah, N. (2022). Income and Price Elasticities of Animal Food Demand and Welfare in Indonesian Urban: An Application of The LA-AIDS. Future of Food: Journal On Food, Agriculture and Society, 11(1), 1-14. doi: 10.17170/kobra-202210056939
  5. Anindita, R., Sadiyah, A. A., Khoiriyah, N., & Nendyssa, D. R. (2020). The Demand for Beef in Indonesian Urban. IOP Conference Series: Earth and Environmental Science, 411(1), 1-8. doi: 10.1088/1755-1315/411/1/012057
  6. Arifatus Sa’diyah, A., Anindita, R., Hanani, N., & Muhaimin, A. W. (2019). The Strategic Food Demand for Non Poor Rural Households in Indonesia. Eurasian Journal of Biosciences Eurasia J Biosci, 13(2), 2197–2202. Retrieved from https://www.proquest.com/openview/b76b83813d3978a509f919e54cb2212c/1?pq-origsite=gscholar&cbl=2042720
  7. Badan Pusat Statistik. (2023). Statistik Indonesia 2023. Retrieved from https://www.bps.go.id/publication/2020/04/29/e9011b3155d45d70823c141f/statistik-indonesia-2020.html
  8. Barnett, W. A., & Seck, O. (2008). Rotterdam model versus almost ideal demand system: will the best specification please stand up? Journal of Applied Econometrics, 23(6), 795–824.
  9. Clements, K. W., & Si, J. (2018). Engel’s Law, diet diversity, and The Quality of Food Consumption. American Journal of Agricultural Economics, 100(1), 1–22. doi: 10.1093/ajae/aax053
  10. D’Acunto, F., Malmendier, U., Ospina, J., & Weber, M. (2021). Exposure to Grocery Prices and Inflation Expectations. Journal of Political Economy, 129(5), 1615–1639. Retrieved from https://www.journals.uchicago.edu/doi/10.1086/713192
  11. Deaton, A., & Muellbauer, J. (1980). An Almost Ideal Demand System. The American Economic Review, 70(3), 312–326. doi: https://www.aeaweb.org/aer/top20/70.3.312-326.pdf
  12. Delgado, C., Rosegrant, M., Steinfeld, H., Ehui, S., & Courbois, C. (2001). Livestock to 2020: The Next Food Revolution. Outlook On Agriculture, 30(1), 27–29. doi: 10.5367/000000001101293427
  13. Delport, M., Louw, M., Davids, T., Vermeulen, H., & Meyer, F. (2017). Evaluating The Demand for Meat in South Africa: An Econometric Estimation of Short Term Demand Elasticities. Agrekon, 56(1), 13–27. doi: 10.1080/03031853.2017.1286249
  14. Devi, L. Y., & Purnomosidi, R. K. H. (2019). Estimation of Demand Elasticity for Food Commodities in Java Island. Jurnal Ekonomi dan Kebijakan, 12(1), 54–67. doi: 10.15294/jejak.v12i1.18824
  15. Faharuddin, N., Mulyana, A., & Yunita, N. (2015). Analysis of Food Consumption Patterns in South Sumatra 2013: Quadratic Almost Ideal Demand System Approach. Journal of Agroeconomics, 33(2), 121–140. doi: 10.21082/jae.v33n2.2015.121-140
  16. Hayat, N., Hussain, A., & Yousaf, H. (2016). Food Demand in Pakistan: Analysis and Projections. South Asia Economic Journal, 17(1), 94–113. doi: 10.1177/1391561415621826
  17. Jappelli, T., & Pistaferri, L. (2010). Does Consumption Inequality Track Income Inequality in Italy? Review of Economic Dynamics, 13(1), 133–153. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S1094202509000684
  18. Jiang, L., Seto, K. C., & Bai, J. (2015). Urban Economic Development, Changes in Food Consumption Patterns and Land Requirements for Food Production in China. China Agricultural Economic Review, 7(2), 240–261. doi: 10.1108/CAER-11-2013-0150
  19. Khoiriyah, N., forgenie, D., & Iriany, A. (2023). Estimating Household Price and Income Elasticities for Animal-Sourced Food: The Case of Bengkulu Province, Indonesia. Agris On-Line Papers in Economics and Informatics, 15(3), 73–85. doi: 7160/aol.2023.150307
  20. Khoiriyah, N., forgenie, D., Sookhai, S., & Saputro, A. J. (2024). Demand Elasticities of Animal-Sourced Food: Empirical Study in Yogyakarta, Indonesia. International Journal of Food and Agricultural Economics, 12(3), 171–188. doi: 10.22004/ag.econ.344845
  21. Krueger, D., & Perri, F. (2006). Does Income Inequality Lead to Consumption Inequality? Evidence and Theory. The Review of Economic Studies, 73(1), 163–193. Retrieved from http://www.fperri.net/papers/consinc_restud.pdf
  22. Lusk, J. L., & tonsor, G. T. (2016). How Meat Demand Elasticities Vary With Price, Income, and Product Category. Applied Economic Perspectives and Policy, 38(4), 673–711.
  23. Mahbubi, A., & Uchiyama, T. (2019). A Comparison of Halal Beef Consumer Preferences in Majority and Minority Muslim Areas in Indonesia. International Journal of Islamic Marketing and Branding, 4(3), 195–211. doi: 10.1504/IJIMB.2019.107283
  24. Maina, Y. B., & Yusuf, A. B. (2023). Determinants of Demand for Meat Products in Damaturu, Yobe State, Nigeria. Gusau Journal of Economics and Development Studies, 4(1), 274–288. doi: 10.57233/gujeds.v4i1.18
  25. Mudassar, K., Aziz, B., & Anwar, A. (2012). Estimating Consumer Demand of Major Food Items in Pakistan: A Microdata Analysis. Pakistan Journal of Life and Social Sciences, 10(1), 53–58. Retrieved from https://www.researchgate.net/publication/229061752_Estimating_Consumer_Demand_of_Major_Food_Items_in_Pakistan_A_Micro_Data_Analysis
  26. Muzayyanah, M. A. U., Nurtini, S., Widiati, R., Syahlani, S. P., & Kusumastuti, T. A. (2017). Household Decision Analysis On Animal Protein Food Consumption: Evidence From DI Yogyakarta Province. Buletin Peternakan, 41(2), 203–211. doi: 10.21059/buletinpeternak.v41i2.18062
  27. Naheed, K., & Hussain, I. (2024). Elasticity Measurement of Food Demand in Pakistan: Cross-Price and Own Price Elasticity Analysis. International Transaction Journal of Engineering, 11(5), 11–16. doi: 10.14456/ITJEMAST.2020.99
  28. Novarista, N., & Syahni, R. (2013). Faktor-Faktor Yang Mempengaruhi Konsumsi Pangan Hewani pada Konsumen Rumahtangga di Kota padang. Jurnal Agribisnis Kerakyatan, 3(1). 64-74. Retrieved from http://jak.faperta.unand.ac.id/index.php/jak/article/view/55/71
  29. Pangaribowo, E. H., & Tsegai, D. W. (2011). Food Demand Analysis of Indonesian Households With Particular Attention to The Poorest. Germany: Center for Development Research
  30. Putra, A. S., tong, G., & Pribadi, D. O. (2020). Spatial Analysis of Socio-Economic Driving Factors of Food Expenditure Variation Between Provinces in Indonesia. Sustainability (Switzerland), 12(4), 1-18. doi: 10.3390/su12041638
  31. Regmi, A., Deepak, M. S., Seale Jr, J. L., & Bernstein, J. (2001). Cross-Country Analysis of Food Consumption Patterns. Changing Structure of Global Food Consumption and Trade, 1422(1), 14–22. Retrieved from https://www.researchgate.net/publication/281582351_Cross-country_analysis_of_food_consumption_patterns
  32. Sinaga, R., Hutagaol, M. P., Hartoyo, S., & Nuryartono, R. N. (2022). Analysis Food Demand of Java Households With Aids Model Estimates. Media Ekonomi dan Manajemen, 37(1), 96–108. doi: 10.24856/mem.v27i01.2550
  33. Sugiharto, I., Putr, A. R. S., & Muzayyanah, M. A. U. (2023). The Effect of Social Structures On Consumption of Beef in Indonesia. Tuijin Jishu/ Journal of Propulsion Technology, 44(4), 4052-4070. doi: 10.52783/tjjpt.v44.i4.1613
  34. Suryana, E. A., Martianto, D., & Baliwati, Y. F. (2019). Pola Konsumsi dan Permintaan Pangan Sumber Protein Hewani di Provinsi Nusa Tenggara Barat dan Nusa Tenggara Timur. Analisis Kebijakan Pertanian, 17(1), 1–12. doi: 10.21082/akp.v17n1.2019.1-12
  35. Ugwumba, C. O. A., & Effiong, J. A. L. (2013). Analysis of Household Demand for Beef in Owerri Metropolis of Imo State, Nigeria. Journal of Chemical, Biological and Physical Sciences (JCBPS), 3(2), 1201-1205. Retrieved from https://staffportal.coou.edu.ng/view-staff.php?id=496
  36. Umaroh, R., & Vinantia, A. (2018). Analisis Konsumsi Protein Hewani pada Rumah Tangga Indonesia. Jurnal Ekonomi dan Pembangunan Indonesia, 18(3), 22-32 doi: 10.21002/jepi.v0i0.869
  37. Widarjono, A., & Mumpuni Ruchba, S. (2021). Demand for Meat in Indonesia: Censored AIDS Model. AGRIS On-Line Papers in Economics and Informatics, 13(2), 109–119. doi: 10.7160/aol.2021.130209
  38. Zellner, A. (1962). An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias. Journal of The American Statistical Association, 57(298), 348–368. doi: /10.2307/2281644