Price Changes of Essential Food Commodities in Traditional Markets
DOI:
https://doi.org/10.63453/general.v3i2.91Keywords:
commodity prices, staple commodities, inflation, traditional markets, price volatility.Abstract
Introduction:
The rapid advancement of information technology has accelerated the digital transformation of Indonesia’s financial sector, particularly in capital market investment activities. The emergence of digital investment platforms, online brokerage services, and financial technology applications has increased retail investor participation by improving accessibility, efficiency, and affordability.
Methods:
This study employed a qualitative literature review approach. Relevant studies were identified through searches in Scopus, ScienceDirect, and Google Scholar using the keywords digital investment, capital market, financial technology, online trading, retail investors, and Indonesia. The review included peer-reviewed journal articles published between 2020 and 2025. Inclusion criteria comprised studies focusing on digital investment adoption, investor behavior, financial technology, and capital market development, while duplicate articles, conference abstracts, editorials, and studies unrelated to investment activities were excluded. Following the screening process, 30 eligible articles were selected and analyzed using descriptive thematic analysis to identify recurring themes, opportunities, challenges, and research gaps.
Results:
The findings indicate that digital investment has significantly increased retail investor participation, improved market accessibility, enhanced trading efficiency, and supported financial inclusion in Indonesia. Nevertheless, the rapid expansion of digital investment has also heightened cybersecurity risks, information asymmetry, behavioral biases, and speculative investment practices that may influence investment decisions and market stability.
Conclusion and Suggestion:
Digital investment has become an important driver of Indonesia’s capital market development. However, sustainable growth requires strengthening financial literacy, enhancing investor protection, improving cybersecurity measures, and implementing adaptive regulatory frameworks. Future studies are recommended to employ empirical methods to examine the causal relationships between digital investment adoption, investor behavior, financial literacy, and capital market performance in Indonesia.
Downloads
References
Aulia, W. D., & Yuliana, R. (2024). Patterns, determinants, and elasticity of household food consumption in Indonesia (Period 2021–2022). Jurnal Aplikasi Statistika & Komputasi Statistik, 16(2). https://doi.org/10.34123/jurnalasks.v16i2.652
Bahtiar, R., & Raswatie, F. D. (2022). Analisis fluktuasi harga pangan di Kota Bogor. Indonesian Journal of Agricultural Resource and Environmental Economics, 1(2), 70–81. https://doi.org/10.29244/ijaree.v1i2.42020
Bank Indonesia. (2024). Laporan Perekonomian Indonesia 2024. Jakarta: Bank Indonesia.
Bellemare, M. F., Barrett, C. B., & Just, D. R. (2013). The welfare impacts of commodity price volatility: Evidence from rural Ethiopia. American Journal of Agricultural Economics, 95(4), 877–899. https://doi.org/10.1093/ajae/aat018
Creswell, J. W., & Creswell, J. D. (2023). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (6th ed.). Sage Publications.
Farandy, A. R. (2020). Analyzing factors affecting Indonesian food price inflation. Jurnal Ekonomi dan Pembangunan, 28(1), 65–76. https://doi.org/10.14203/JEP.28.1.2020.65-76
Food and Agriculture Organization. (2023). The State of Food Security and Nutrition in the World 2023. FAO.
Gilbert, C. L., Christiaensen, L., & Kaminski, J. (2017). Food price seasonality in Africa: Measurement and extent. Food Policy, 67, 119–132. https://doi.org/10.1016/j.foodpol.2016.09.016
Headey, D., & Martin, W. (2016). The impact of food prices on poverty and food security. Annual Review of Resource Economics, 8, 329–351. https://doi.org/10.1146/annurev-resource-100815-095303
Kusmutiarani, A. W. (2018). Dampak fluktuasi harga tiga komoditas volatile food terhadap inflasi di Kota Pangkalpinang. Jurnal Ekonomi Pertanian dan Agribisnis, 2(5), 364–377. https://doi.org/10.21776/ub.jepa.2018.002.05.3
Mankiw, N. G. (2021). Principles of Economics (9th ed.). Cengage Learning.
OECD, & Food and Agriculture Organization of the United Nations. (2023). OECD–FAO Agricultural Outlook 2023–2032. OECD Publishing. https://doi.org/10.1787/08801ab7-en
Parulian, F. E. D., & Wilda, M. S. (2025). Analisis Volatilitas Dan Segmentasi Rekomendasi Strategis Harga Komoditas Pangan Jawa Barat Dengan Pemodelan Exponential GARCH. Creative Research Journal, 11(02), 75-86. https://doi.org/10.34147/crj.v11i02.412
Raza, S. A., Guesmi, K., Belaid, F., & Shah, N. (2022). Time-frequency causality and connectedness between oil price shocks and the world food prices. Research in International Business and Finance, 62, 101730. https://doi.org/10.1016/j.ribaf.2022.101730
Sari, L. K., Achsani, N. A., Sartono, B., & Anggraeni, L. (2022). Investigating the asymmetric effect of food commodity price on the volatility in Indonesia. Jurnal Manajemen dan Agribisnis, 20(3), 440–454. https://doi.org/10.17358/jma.20.3.440
Sekaran, U., & Bougie, R. (2020). Research Methods for Business: A Skill Building Approach (8th ed.). John Wiley & Sons.
Sugiyono. (2022). Metode Penelitian Kuantitatif, Kualitatif, dan R&D (Edisi Ke-2). Bandung: Alfabeta.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Ayu Apprrilliani Selvia, Aisyah Dita Ariani, Wahyu Febri Ramadhan Sudirman

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







