Determinants of Rice Consumption in South Sulawesi Using a Panel Data Approach

Authors

  • Abdul Rahman Universitas Negeri Makassar

DOI:

https://doi.org/10.55606/bijmt.v5i3.6065

Keywords:

Fixed Effect Model, Food Security, Human Development, Panel Data , Rice Consumption

Abstract

This study aims to analyze the factors that affect rice consumption in South Sulawesi Province using a panel data approach for 2018–2024. The dependent variables used are rice consumption (tons), while the independent variables include per capita income, household size, rice production, human development index (HDI), and percentage of poor population. The analysis was performed with a panel data regression model using R software, with a series of model specification tests including the Chow test, the Hausman test, and the Lagrange Multiplier (LM) test. The best model obtained is the Fixed Effect Model (FEM). Partially, the variables of household size and rice production had a significant negative effect on rice consumption, while HDI had a significant positive effect. The variables of per capita income and poverty level have a negative but not significant effect. These results indicate that rice consumption in South Sulawesi is more influenced by social aspects and quality of life than purely economic factors. These findings affirm the importance of food security policies that focus on improving human development, rice distribution efficiency, and strengthening social protection programs to maintain the stability of household food consumption.

References

Baltagi, B. (2005). Econometric Analysis of Panel Data (Third Edit). John Wiley & Sons.

Becker, G.S. (1965). A Theory of the Allocation of Time. The Economic Journal, 75(299). https://doi.org/10.2307/2228949

Bennett, M. K. (1941). International Contrasts in Food Consumption. Geographical Review, 31(3). https://doi.org/10.2307/210172

Center for Agricultural Data and Information Systems. (2021). 2021 Food Consumption Bulletin. Ministry of Agriculture of the Republic of Indonesia, 12(1).

Central Statistics Agency (BPS). (2023). South Sulawesi Province in Figures 2023. Central Statistics Agency.

Central Statistics Agency (BPS). (2024). Food Consumption Patterns of the Indonesian People 2024. Central Statistics Agency.

Central Statistics Agency. (2023). Food Consumption and Production in South Sulawesi Province in 2023. BPS South Sulawesi Province.

Central Statistics Agency. (2023). Indonesian public consumption and expenditure 2023. Jakarta: BPS. https://www.bps.go.id

Chandran, R. (2018). As Asians get rich and healthy, "smart crops" may replace rice on future menus. Japantoday.

Deaton, A., & Paxson, C. (1998). Economies of scale, household size, and the demand for food. Journal of Political Economy, 106(5). https://doi.org/10.1086/250035

Engel, E. (1857). "Die Productions- und Consumtionsverhältnisse des Königreichs Sachsen" (The Production and Consumption Relations in the Kingdom of Saxony). Zeitschrift des statistischen Bureaus des Königlich Sächsischen Ministeriums des Inneren, 8, 1-54

F.A.O. (2022). The State of Food Security and Nutrition in the World 2022. FAO. https://doi.org/10.4060/cc0639en

Jaijit, S., Paoprasert, N., & Pichitlamken, J. (2019). The impact of rice research expenditure policy in Thailand. Journal of Policy Modeling, 41(1). https://doi.org/10.1016/j.jpolmod.2018.06.002

Laurentcia, S., & Yusran, R. (2021). Evaluation of the Non-Cash Food Assistance Program in Poverty Alleviation in Nanggalo District, Padang City. Journal of Civic Education, 4(1). https://doi.org/10.24036/jce.v4i1.433

Leki, S. (2017). Several Factors That Influence Household Economic Decisions Of Rice Farmers In Indonesia. Russian Journal of Agricultural and Socio-Economic Sciences, 61(1). https://doi.org/10.18551/rjoas.2017-01.17

Limnirankul, B., Promburom, P., & Thongngam, K. (2015). Community Participation in Developing and Assessing Household Food Security in the Highlands of Northern Thailand. Agriculture and Agricultural Science Procedia, 5. https://doi.org/10.1016/j.aaspro.2015.08.008

Luthfia, A. (2024). 10 regions with the largest rice production in Indonesia. Antaranews.

Mottaleb, K.A., & Mishra, A.K. (2016). Rice consumption and grain-type preference by household: A Bangladesh case. Journal of Agricultural and Applied Economics, 48(3). https://doi.org/10.1017/aae.2016.18

Ogundari, K. (2015). Demand For Quantity Versus Quality In Beef, Chicken And Fish Consumption In Nigeria. Revista de Economia e Agronegócio, 10(1). https://doi.org/10.25070/rea.v10i1.195

Ogundele, F. (2013). Determinants of household rice consumption in Nigeria: Application of Working-Leser single equation model. Net Journal of Agricultural Science, 1(2), 48-55.

Partini., Tarumun, S., & Tety, E. (2014). Analysis of Factors Influencing Rice Supply and Demand in Riau Province. PEKBIS (Journal of Economic and Business Education), 5(3).

Patmasiriwat, D. (2010). Readings in Thailand Rice Economy: A Collection Book in Honor of Associate Professor Somporn Isvilanand. Agricultural and Food Sciences, Economics.

Rahman, A. (2020). Applied Econometrics: Theory and Applications with R. UIN Alauddin Press.

Saliem, HP, Hermanto, N., Suryani, E., Suhaeti, RN, & Ariani, M. (2023). The Dynamics of Indonesian Consumption Patterns of Rice and Rice-Based Food Eaten Away From Home. Agricultural Policy Analysis, 17(2). https://doi.org/10.21082/akp.v17n2.2019.95-110

Sartini, S., & Bagio, B. (2022). Factors Influencing Rice Demand in Aceh Singkil Regency. Agrisep Journal, 22(2). https://doi.org/10.17969/agrisep.v22i2.24027

Sen, Amartya. K. (1999). Development as Freedom. Knopf.

Silverius, L. (2017). Several factors influencing household economic decisions of rice farmers in Indonesia. Russian Journal of Agricultural and Socio-Economic Sciences, 6(1), 172-179. https://doi.org/10.18551/rjoas.2017-01.17

Teklu, T. (1996). Food demand studies in Sub-Saharan Africa: A survey of empirical evidence. Food Policy, 21(6). https://doi.org/10.1016/0306-9192(96)00004-8

Timmer, C. P. (2012). Behavioral dimensions of food safety. In Proceedings of the National Academy of Sciences of the United States of America (Vol. 109, Issue 31). https://doi.org/10.1073/pnas.0913213107

Tina Fitriani, & Partini Partini. (2019). Analysis of Factors Influencing Rice Consumption in Tembilahan District, Indragiri Hilir Regency. Agribusiness Journal, 8(2). https://doi.org/10.32520/agribisnis.v8i2.853

Turvey, R., & Duesenberry, J. S. (1950). Income, Saving and the Theory of Consumer Behavior. Economica, 17(68). https://doi.org/10.2307/2549507

Wardani, C., Hardyastuti, S., & Suryantini, A. (2019). Determinants of Rice Consumption: Evidence from Panel Data in Indonesia. International Journal of Mechanical Engineering and Technology (IJMET), 10(5).

Windiyarti, N., Sri, SH, & Tanti, TN (2020). Analysis of Demand for Rice Quantity and Quality in DKI Jakarta. Journal of Economics and Development Policy, 7(2). https://doi.org/10.29244/jekp.7.2.2018.159-173

World Bank. (2020). Purchasing Power Parities and the Size of World Economies: Results from the 2017 International Comparison Program. Washington, DC: World Bank. https://doi.org/10.1596/978-1-4648-1530-0

Downloads

Published

2025-10-31

How to Cite

Rahman, A. (2025). Determinants of Rice Consumption in South Sulawesi Using a Panel Data Approach. Brilliant International Journal Of Management And Tourism , 5(3), 287–301. https://doi.org/10.55606/bijmt.v5i3.6065