Implementation of demand system restrictions and accuracy of QUAIDS model estimator on animal food demand in Indonesia
DOI:
https://doi.org/10.15587/1729-4061.2022.263626Keywords:
restrictions, food demand system, adding up, homogeneity, symmetry protein, QUAIDS, marshallian, hicksian, elasticityAbstract
Demonstration on restrictions and accuracy of an estimator is pivotal since the incomplete restrictions will make the estimator inaccurate that they cannot be used for the need of decision making. In this study, the demand system’s three primary requirements-adding up, homogeneity, and symmetry ‒ are examined. This current research was intended to demonstrate restrictions and accuracy of Quadratic Almost Ideal Demand System (QUAIDS) model estimator. The source of the data was referred to the results of National Socio-Economic Survey of Indonesia in 2016, involving 291,414 households in total. Iterated Nonlinear Seemingly Unrelated Regression method was used for the estimation procedure. Parameter estimation is used to calculate the elasticity of animal protein. The results have indicated that the three restrictions of the QUAIDS model estimator, i. e. adding up, homogeneity, and symmetry, have been completed. Further, the estimation made by the QUAIDS model is valid and efficient; therefore, the estimation is potentially used as a means of calculating own and cross price elasticity, either Marshallian or Hicksian. In addition, some other parameters, such as price, income, and income squared, are also employed to calculate income elasticity. The findings show that demand is elastic for all animal proteins, except for eggs, which are inelastic. Beef is most elastic. According to the income elasticity results, all animal proteins are considered luxury foods in Indonesia, except for eggs, which have an income elasticity of less than one. To fulfill Indonesian households’ needs for animal protein, the income policy is more suited for beef, while the price strategy is more effective for animal proteins including chicken, milk, fresh fish, and eggs
Supporting Agency
- The researchers express great appreciation to the Central Bureau of Statistics Indonesia, who have served well in purchasing data.
References
- Carletto, C., Zezza, A., Banerjee, R. (2013). Towards better measurement of household food security: Harmonizing indicators and the role of household surveys. Global Food Security, 2 (1), 30–40. doi: https://doi.org/10.1016/j.gfs.2012.11.006
- Jackson, T., Marks, N. (1999). Consumption, sustainable welfare and human needs – with reference to UK expenditure patterns between 1954 and 1994. Ecological Economics, 28 (3), 421–441. doi: https://doi.org/10.1016/s0921-8009(98)00108-6
- Khoiriyah, N., Anindita, R., Hanani, N., Wahib Muhaimin, A. (2020). Impacts of rising animal food prices on demand and poverty in Indonesia. Agricultural Social Economic Journal, 20 (1), 67–78. doi: https://doi.org/10.21776/ub.agrise.2020.20.1.9
- Dedehouanou, S. F. A., McPeak, J. (2019). Diversify More or Less? Household Income Generation Strategies and Food Security in Rural Nigeria. The Journal of Development Studies, 56 (3), 560–577. doi: https://doi.org/10.1080/00220388.2019.1585814
- Harris, J., Chisanga, B., Drimie, S., Kennedy, G. (2019). Nutrition transition in Zambia: Changing food supply, food prices, household consumption, diet and nutrition outcomes. Food Security, 11 (2), 371–387. doi: https://doi.org/10.1007/s12571-019-00903-4
- Zanin, V., Bacchi, M. R. P., Almeida, A. T. C. de (2019). A demanda domiciliar por arroz no Brasil: abordagem por meio do sistema Quaids em 2008/2009. Revista de Economia e Sociologia Rural, 57 (2), 234–252. doi: https://doi.org/10.1590/1806-9479.2019.171853
- Ackah, C., Appleton, S. (2007). Food Price Changes and Consumer Welfare in Ghana in The 1990s. CREDIT Research Paper. Available at: https://www.nottingham.ac.uk/credit/documents/papers/07-03.pdf
- Wostbrock, J. A. G., Sharp, Z. D., Sanchez-Yanez, C., Reich, M., van den Heuvel, D. B., Benning, L. G. (2018). Calibration and application of silica-water triple oxygen isotope thermometry to geothermal systems in Iceland and Chile. Geochimica et Cosmochimica Acta, 234, 84–97. doi: https://doi.org/10.1016/j.gca.2018.05.007
- Wahyuni, D., Purnastuti, L., Mustofa, M. (2016). Analisis elastisitas tiga bahan pangan sumber protein hewani di Indonesia. Jurnal Economia, 12 (1), 43. doi: https://doi.org/10.21831/economia.v12i1.9544
- Jones, A., Mazzi, M. G. (1996). Tobacco consumption and taxation in Italy: an application of the QUAIDS model. Applied Economics, 28 (5), 595–603. doi: https://doi.org/10.1080/00036849600000039
- Coelho, A. B., Aguiar, D. R. D. de, Eales, J. S. (2010). Food demand in Brazil: an application of Shonkwiler & Yen Two-Step estimation method. Estudos Econômicos (São Paulo), 40 (1), 186–211. doi: https://doi.org/10.1590/s0101-41612010000100007
- Elijah Obayelu, A., Okoruwa, V. O., Ajani, O. I. Y. (2009). Cross‐sectional analysis of food demand in the North Central, Nigeria. China Agricultural Economic Review, 1 (2), 173–193. doi: https://doi.org/10.1108/17561370910927426
- Korir, L., Rizov, M., Ruto, E. (2018). Analysis of household food demand and its implications on food security in Kenya: an application of QUAIDS model. 92nd Annual Conference. Warwick University. Available at: https://ageconsearch.umn.edu/record/273474/
- Al-Shuaibi, A. M. (2011). An Economic Study of the Demand for Red Meat in the Kingdom of Saudi Arabia using Almost Ideal Demand System. Trends in Agricultural Economics, 4 (1), 30–40. doi: https://doi.org/10.3923/tae.2011.30.40
- Umaroh, R., Pangaribowo, E. H. (2020). Welfare impact of high-nutrient food price increase on Indonesian households: is there role from own-farm production? Journal of Indonesian Economy and Business, 35 (1). doi: https://doi.org/10.22146/jieb.50424
- Anderson, G., Blundell, R. (1983). Testing Restrictions in a Flexible Dynamic Demand System: An Application to Consumers’ Expenditure in Canada. The Review of Economic Studies, 50 (3), 397. doi: https://doi.org/10.2307/2297672
- Hayes, D. J., Wahl, T. I., Williams, G. W. (1990). Testing Restrictions on a Model of Japanese Meat Demand. American Journal of Agricultural Economics, 72 (3), 556–566. doi: https://doi.org/10.2307/1243024
- Wang, X., Dan, Z., Cui, X., Zhang, R., Zhou, S., Wenga, T. et. al. (2020). Contamination, ecological and health risks of trace elements in soil of landfill and geothermal sites in Tibet. Science of The Total Environment, 715, 136639. doi: https://doi.org/10.1016/j.scitotenv.2020.136639
- Ravikumar, B., Ray, S., Eugene Savin, N. (2000). Robust Wald Tests in Sur Systems with Adding-up Restrictions. Econometrica, 68 (3), 715–719. doi: https://doi.org/10.1111/1468-0262.00129
- Roley, V. V. (1983). Symmetry Restrictions in a System of Financial Asset Demands: Theoretical and Empirical Results. The Review of Economics and Statistics, 65 (1), 124. doi: https://doi.org/10.2307/1924416
- Haag, B. R., Hoderlein, S., Pendakur, K. (2009). Testing and imposing Slutsky symmetry in nonparametric demand systems. Journal of Econometrics, 153 (1), 33–50. doi: https://doi.org/10.1016/j.jeconom.2009.04.003
- Hummels, D., Lee, K. Y. (2018). The income elasticity of import demand: Micro evidence and an application. Journal of International Economics, 113, 20–34. doi: https://doi.org/10.1016/j.jinteco.2018.04.001
- Priyagus, P. (2016). Fungsi Permintaan Marshallian (Marshallian Demand Function). In FORUM EKONOMI, 17 (2).
- Faharuddin, Yunita, Mulyana, A., Yamin, M. (2019). Agricultural Households’ Food Demand: Evidence from Indonesia. Asian Journal of Agriculture and Development, 16 (2), 45–60. doi: https://doi.org/10.37801/ajad2019.16.2.3
- Kharisma, B., Alisjahbana, A. S., Remi, S. S., Praditya, P. (2020). Application of the Quadratic Almost Ideal Demand System (QUAIDS) Model in the Demand of the Household Animal Sourced Food in West Java. Agris on-Line Papers in Economics and Informatics, 12 (01), 23–35. doi: https://doi.org/10.7160/aol.2020.120103
- Jamil, A. S. (2018). Analysis of Demand for Meat Imports in Indonesia: Error Correction Approach Almost Ideal Demand System. Jurnal Pangan, 27 (1), 23–32.
- Ahn, Y., Lee, B. C., Lee, S. K. (2020). Analysis of Korean millennials’ travel expenditure patterns: an almost ideal demand system approach. Asia Pacific Journal of Tourism Research, 25 (1), 3–14. doi: https://doi.org/10.1080/10941665.2019.1578810
- Lades, L. K. (2013). Explaining shapes of Engel curves: the impact of differential satiation dynamics on consumer behavior. Journal of Evolutionary Economics, 23 (5), 1023–1045. doi: https://doi.org/10.1007/s00191-013-0324-6
- Caro, J. C., Ng, S. W., Bonilla, R., Tovar, J., Popkin, B. M. (2017). Sugary drinks taxation, projected consumption and fiscal revenues in Colombia: Evidence from a QUAIDS model. PLOS ONE, 12 (12), e0189026. doi: https://doi.org/10.1371/journal.pone.0189026
- Taljaard, P. R., Alemu, Z. G., van Schalkwyk, H. D. (2004). The demand for meat in south africa: an almost ideal estimation. Agrekon, 43 (4), 430–443. doi: https://doi.org/10.1080/03031853.2004.9523659
- Tefera, N., Desta, M. D., Rashid, S., Kayitakire, F. (2018). A dynamic analysis of food demand patterns and habit effects: Panel evidence from rural households in Ethiopia. Journal of Agricultural Economics, 1 (1), 13.
- Asbi, A., Ramiah, V., Yu, X., Wallace, D., Moosa, N., Reddy, K. (2020). The determinants of recovery from the Black Saturday bushfire: demographic factors, behavioural characteristics and financial literacy. Accounting & Finance, 60 (1), 15–46. doi: https://doi.org/10.1111/acfi.12575
- Chelwa, G., Koch, S. F. (2019). The effect of tobacco expenditure on expenditure shares in South African households: A genetic matching approach. PLOS ONE, 14 (9), e0222000. doi: https://doi.org/10.1371/journal.pone.0222000
- Ikudayisi, A. A., Omotola, A. M. (2020). Complement-substitution nexus in the Nigerian diet: policy gaps in nutrition. Agricultural and Resource Economics: International Scientific E-Journal, 6 (1), 37–49. doi: https://doi.org/10.51599/are.2020.06.01.03
- Poi, B. P. (2012). Easy Demand-System Estimation with Quaids. The Stata Journal: Promoting Communications on Statistics and Stata, 12 (3), 433–446. doi: https://doi.org/10.1177/1536867x1201200306
- Martin, W., Ivanic, M. (2016). Food Price Changes, Price Insulation, and Their Impacts on Global and Domestic Poverty. Food Price Volatility and Its Implications for Food Security and Policy, 101–113. doi: https://doi.org/10.1007/978-3-319-28201-5_5
- Bopape, L., Myers, R. (2007). Analysis of household demand for food in South Africa: Model selection, expenditure endogeneity, and the influence of socio-demographic effects. African Econometrics Society Annual Conference, 22.
- Cornish, A. R., Briley, D., Wilson, B. J., Raubenheimer, D., Schlosberg, D., McGreevy, P. D. (2020). The price of good welfare: Does informing consumers about what on-package labels mean for animal welfare influence their purchase intentions? Appetite, 148, 104577. doi: https://doi.org/10.1016/j.appet.2019.104577
- Riccioli, F., Moruzzo, R., Zhang, Z., Zhao, J., Tang, Y., Tinacci, L. et. al. (2020). Willingness to pay in main cities of Zheijiang provice (China) for quality and safety in food market. Food Control, 108, 106831. doi: https://doi.org/10.1016/j.foodcont.2019.106831
- Haggblade, S., Me-Nsope, N. M., Staatz, J. M. (2017). Food security implications of staple food substitution in Sahelian West Africa. Food Policy, 71, 27–38. doi: https://doi.org/10.1016/j.foodpol.2017.06.003
- Dey, M. M. (2000). Analysis of demand for fish in Bangladesh. Aquaculture Economics & Management, 4 (1-2), 63–81. doi: https://doi.org/10.1080/13657300009380261
- Suárez-Varela, M. (2020). Modeling residential water demand: An approach based on household demand systems. Journal of Environmental Management, 261, 109921. doi: https://doi.org/10.1016/j.jenvman.2019.109921
- Bronnmann, J., Loy, J.-P., Schroeder, K. J. (2016). Characteristics of Demand Structure and Preferences for Wild and Farmed Seafood in Germany: An Application of QUAIDS Modeling with Correction for Sample Selection. Marine Resource Economics, 31 (3), 281–300. doi: https://doi.org/10.1086/686692
- Gálvez, P., Mariel, P., Hoyos, D. (2016). Aplication of the quaids model to the residential energy demand in Spain. Revista de Economia Aplicada, 24 (72).
- Ananta, P., Jayanti, D., Pandjaitan, S., Ciptawaty, U. (2020). The fish demand at fish auction sites in Lampung: Implementation of the Quadratic Almost Ideal Demand System (QUAIDS) model. The Future Opportunities and Challenges of Business in Digital Era 4.0, 179–182. doi: https://doi.org/10.1201/9780367853778-48
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Atiek Iriany, Jeky Sui, Ratya Anindita, Nikmatul Khoiriyah, Ana Sa’diyah
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.