ANALYSIS OF FACTORS AFFECTING RICE PRICES IN NORTH SUMATRA PROVINCE
Published:
2025-06-25Downloads
Abstract
This study aims to analyze the factors influencing rice prices in North Sumatra Province and identify the most dominant variables. The data used are secondary time series data for the period 2012–2024, analyzed using the multiple linear regression method with the Ordinary Least Square (OLS) approach. The results show that rice prices in supplying areas, rice consumption, and population significantly influence rice prices in North Sumatra, while the price of dry harvested grain does not. The coefficient of determination value of 93.4% indicates that the model is able to explain most of the variation in rice prices. Rice consumption is the most dominant variable in influencing rice prices.
Keywords:
rice price consumption regression North Sumatra food securityReferences
Amang, B., & Sawit, MH (1999). National rice and food policy . Bogor: IPB Press.
Gujarati, D.N. (2003). Basic econometrics (4th ed.). New York: McGraw-Hill.
Ghozali, I. (2016). Multivariate analysis application with IBM SPSS program . Semarang: Diponegoro University Publishing Agency.
Kotler, P., & Keller, K.L. (2016). Marketing Management (15th Ed.). Pearson Education.
https://doi.org/10.2307/1250103 (Note: This DOI is often used in derivative references; the original book does not have an official DOI)
Sugiyono. (2017). Quantitative, qualitative, and R&D research methods . Bandung: Alfabeta.
Sumarwan, U. (2011). Consumer behavior: Theory and its application in marketing . Bogor: Ghalia Indonesia.
License
Copyright (c) 2025 Faisal Azhari Baldan Panjaitan, Satrio Joko Wibowo, Aadil Hussain Mir
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
