Distorsi Harga di Sektor Pertanian: Studi Empiris Menggunakan VECM

Rizky Mulia Rahman : Universitas Negeri Semarang , Ummu Wahidatul Laily : Universitas Negeri Semarang

Abstract


This study aims to analyze the general equilibrium in the food commodity price system and farmers' welfare in Indonesia using the Vector Error Correction Model (VECM) approach. The urgency of this research lies in the persistent price volatility and the paradox of stagnant farmer welfare despite rising commodity prices. The study focuses on short-term and long-term relationships between the price of medium-quality rice (MQP) as the endogenous variable and other variables including premium-quality rice, poor-quality rice, corn, potatoes, broiler chicken, and the Farmer’s Terms of Trade (NTP). Monthly data from January 2021 to December 2023 were obtained from BPS. The Augmented Dickey-Fuller (ADF) test results indicate that most variables are I(1), fulfilling the requirements for the Johansen cointegration test and VECM estimation. The results reveal cointegration among variables, indicating a general equilibrium relationship within the commodity system. Several variables, such as chicken and corn prices, significantly influence medium rice prices in both the short and long run. These findings highlight the existence of price distortion and strong market interdependence within Indonesia's agricultural system. Therefore, price policies and market interventions must account for cross-commodity linkages to maintain market stability and improve farmer welfare.

Keywords


General Equilibrium, Food Prices, VECM, Farmer's Exchange Rate, Price Distortion

Full Text:

PDF

References


Ackerman, F. (2002). Still dead after all these years: interpreting the failure of general equilibrium theory. Journal of Economic Methodology, 9(2), 119–139. https://doi.org/https://doi.org/10.1080/13501780210137083

Afriyanti, G., Mariya, A., Natalia, C., Nispuana, S., Wijaya, M. F., & Phalepi, M. Y. (2025). Chicha. Food, Culture and Society, 28(2), 335. https://doi.org/10.1080/15528014.2025.2484083

Akhzani, A. V., & Hascaryani, T. D. (2025). Analysis of The Influence of Monetary Variables and Foreign Direct Investment (FDI) on Indonesia’s GDP From Q1 2014 to Q4 2023. Jurnal Ekonomi, Manajemen, Akuntansi Dan Keuangan, 6(3), 16. https://doi.org/10.53697/emak.v6i3.2400

Andriawan, R., Martanto, R., & Muryono, S. (2020). Evaluasi Kesesuaian Potensi Lahan Pertanian Pangan Berkelanjutan Terhadap Rencana Tata Ruang Wilayah. Tunas Agraria, 3(3). https://doi.org/10.31292/jta.v3i3.126

BPS Indonesia. (2023). Statistik Nilai Tukar Petani 2023. 30.

Chepng’eno, W. (2019). Price Dynamics in Major International Black Tea Markets. Journal of Emerging Trends in Economics and Management Sciences, 10(1), 33–42. https://www.scholarlinkinstitute.org/jetems/abstractview.php?id=10.8

Elias, A., Dachito, A., & Abdulbari, S. (2023). The effects of currency devaluation on Ethiopia’s major export commodities: The case of coffee and khat: Evidence from the vector error correction model and the Johansen co-integration test. Cogent Economics and Finance, 11(1). https://doi.org/10.1080/23322039.2023.2184447

Etienne, X. L., Trujillo-Barrera, A., & Hoffman, L. A. (2017). Volatility spillover and time-varying conditional correlation between DDGS, corn, and soybean meal markets. Agricultural and Resource Economics Review, 46(3), 529–554. https://doi.org/10.1017/age.2016.44

Fitri, R. F., Fitria, D., Syafriandi, & Zilrahmi. (2023). Vector Error Correction Model for Cointegration Analysis of Factors Affecting Indonesia’s Economic Growth during the Pandemic Period. UNP Journal of Statistics and Data Science, 1(3), 140–148. https://doi.org/10.24036/ujsds/vol1-iss3/40

Guo, J., & Tanaka, T. (2020). Dynamic Transmissions and Volatility Spillovers between Global Price and U.S. Producer Price in Agricultural Markets. Journal of Risk and Financial Management, 13(4). https://doi.org/10.3390/jrfm13040083

Hajifar, S., Sun, H., Megahed, F. M., Jones-Farmer, L. A., Rashedi, E., & Cavuoto, L. A. (2021). A forecasting framework for predicting perceived fatigue: Using time series methods to forecast ratings of perceived exertion with features from wearable sensors. Applied Ergonomics, 90, 1–28. https://doi.org/10.1016/j.apergo.2020.103262

Haryadi, & Nopriyandi, R. (2017). Analisis Ekspor Kopi Indonesia. Jurnal Paradigma Ekonomika, 12(1), 192–203.

Hayashi, T. (2017). General Equilibrium Theory BT - General Equilibrium Foundation of Partial Equilibrium Analysis (T. Hayashi (ed.); pp. 7–35). Springer International Publishing. https://doi.org/10.1007/978-3-319-56696-2_2

Lee, Y., & Rhee, J. H. (2022). A VECM analysis of Bitcoin price using time-varying cointegration approach. Journal of Derivatives and Quantitative Studies, 30(3), 197–218. https://doi.org/10.1108/JDQS-01-2022-0001

Loves, L., Usman, M., Warsono, Widiarti, & Russel, E. (2021). Modeling Multivariate Time Series by Vector Error Correction Models (VECM) (Study: PT Kalbe Farma Tbk. And PT Kimia Farma (Persero) Tbk). Journal of Physics: Conference Series, 1751(1). https://doi.org/10.1088/1742-6596/1751/1/012013

Mas-Colell, A. (1985). The Theory of General Economic Equilibrium: A Differentiable Approach. In Econometric Society Monographs. Cambridge University Press. https://doi.org/DOI: 10.1017/CCOL0521265142

Nyiputen, I. R., & Abijia, O. P. (2023). Interest Rate , Exchange Rate and Private Domestic Investment in Nigeria : An Impact Analysis. 1–13.

Oflazoglu, S. (2017). Qualitative versus Quantitative Research. In InTech. https://doi.org/10.5772/65619

Prabhakar, S. V. R. K. (2021). A succinct review and analysis of drivers and impacts of agricultural land transformations in Asia. Land Use Policy, 102(September 2020), 105238. https://doi.org/10.1016/j.landusepol.2020.105238

Purba, S. F., Yulianti, A., Astana, S., Deden Djaenudin, R., Hariyadi, Maruli Timothy Vincent Simandjorang, B., Haradongan, F., & Istriningsih. (2023). The contribution of agricultural crop production towards the economic growth of Indonesia s agricultural sector. E3S Web of Conferences, 444. https://doi.org/10.1051/e3sconf/202344402034

Purna, F. P., Mulyo, P. P., & Bima, M. R. A. (2016). Exchange Rate Fluctuation in Indonesia: Vector Error Correction Model Approach. Jurnal Ekonomi & Studi Pembangunan, 17(2). https://doi.org/10.18196/jesp.17.2.3955

Rahman, R. M., Ridwan, M., & Mutiarahmi, H. (2024). Indonesian Coffee Exports in The Global Market and The Variables That Affect Them. Jurnal Ilmu Ekonomi Dan Bisnis Islam, 6(1), 1–15. https://doi.org/10.24239/jiebi.v6i1.225.1-15

Rosmika, N. (2020). Pengaruh Sektor Pertanian Terhadap Perekonomian Indonesia. Jurnal Ekonomi Dan Kebijakan Publik Indonesia, 7(2), 156–169. https://doi.org/10.24815/ekapi.v7i2.21117

Shahbaz, M., Mahalik, M. K., Shah, S. H., & Sato, J. R. (2016). Time-varying analysis of CO2 emissions, energy consumption, and economic growth nexus: Statistical experience in next 11 countries. Energy Policy, 98, 33–48. https://doi.org/10.1016/j.enpol.2016.08.011

Si, R., Aziz, N., & Raza, A. (2021). Short and long-run causal effects of agriculture, forestry, and other land use on greenhouse gas emissions: evidence from China using VECM approach. Environmental Science and Pollution Research, 28(45), 64419–64430. https://doi.org/10.1007/s11356-021-15474-1

Sulistiana, I. (2017). Model Vector Auto Regression (Var) and Vector Error Correction Model (Vecm) Approach for Inflation Relations Analysis, Gross Regional Domestic Product (Gdp), World Tin Price, Bi Rate and Rupiah Exchange Rate. Integrated Journal of Business and Economics, 1(2), 17–32. https://doi.org/https://doi.org/10.5281/zenodo.1147673

Wahyudin, Tan, S., Junaidi, Zulgani, & Zevaya, F. (2024). Dynamic model in analyzing Indonesia’s agricultural sector’s macroeconomic performance. Journal of Infrastructure, Policy and Development, 8(8), 1–24. https://doi.org/10.24294/jipd.v8i8.5661

Wang, S. (2018). General Equilibrium Theory BT - Microeconomic Theory (S. Wang (ed.); pp. 95–126). Springer Singapore. https://doi.org/10.1007/978-981-13-0041-7_4

XU, Y. mei, QIAO, F. bin, & HUANG, J. kun. (2022). Black tea markets worldwide: Are they integrated? Journal of Integrative Agriculture, 21(2), 552–565. https://doi.org/10.1016/S2095-3119(21)63850-9




DOI: https://doi.org/10.30596/ekonomikawan.v26i1.25623

 View My Stats