Analysis of Import Dependency for Pharmaceutical Chemical Precursors (HS Code 29) and Its Correlation with the Volatility of the National Chemical Industry Price Index

Authors

  • Nurhayati Universitas Trisakti
  • Muhammad Sarjana Universitas Airlangga

DOI:

https://doi.org/10.70076/cj.v2i2.138

Keywords:

HS Code 29, import dependency, IHP volatility, VECM, pharmaceutical precursors, supply chain vulnerability, Granger causality

Abstract

Indonesia's pharmaceutical and chemical industries remain vulnerable due to their dependence on imported Pharmaceutical Chemical Precursors (HS Code 29). This dependency increases exposure to global supply chain disruptions and exchange rate volatility, contributing to fluctuations in the National Chemical Industry Price Index (IHP). This study examines the relationship between HS 29 import dependency and IHP volatility using monthly time-series data from 2021–2024. The analysis applies the Augmented Dickey-Fuller test, Johansen cointegration, Vector Error Correction Model (VECM), Impulse Response Functions (IRF), Variance Decomposition (VD), and Granger causality tests. The results show that both variables are integrated at order one [I(1)] and share a significant long-term equilibrium relationship. A 1% increase in import dependency raises IHP by 0.82% in the long run. IRF analysis indicates a persistent positive response, peaking at 0.35% in month 8, while VD analysis reveals that import shocks explain 41% of IHP volatility by month 24. Granger causality confirms a unidirectional relationship from import dependency to IHP volatility. These findings emphasize the need for upstream petrochemical development, import substitution policies, and exchange rate hedging to strengthen industrial resilience.

References

Mankiw, N. Principles of Economics; Cengage: Boston, MA, USA, 2021; pp. 250–265.

Badan Pusat Statistik (BPS). Data Import API dan Prekursor Kimia Farmasi; BPS: Jakarta, Indonesia, 2024.

Smith, J. Global Supply Chain Disruptions and Pharmaceutical Vulnerabilities. Glob. Health J. 2021, 15, 45–62.

Badan Pusat Statistik (BPS); Kementerian Perindustrian (Kemenperin). Indeks Harga Produsen (IHP) Industri Kimia; BPS/Kemenperin: Jakarta, Indonesia, 2024.

Chen, Y.; Lee, H. Input Price Volatility in Chemical Industry: Evidence from Asian Markets. Econ. Rev. 2022, 47, 112–130.

Dornbusch, R.; Fischer, S. Macroeconomics; Wiley: New York, NY, USA, 2022.

P., M.; et al. Tren Ketergantungan Impor Bahan Kimia Organik di Indonesia: Analisis HS Code 29 (2020–2023). J. Ind. Chem. 2023, 8.

Krugman, P.; Obstfeld, M. International Economics: Theory and Policy; Pearson: Boston, MA, USA, 2021; pp. 150–165.

H., L.; et al. Supply Concentration Risks in Pharmaceutical Precursors: China-India Dominance. J. Int. Trade 2020, 29, 301–320.

Wooldridge, J.M. Introductory Econometrics: A Modern Approach; Cengage Learning: Boston, MA, USA, 2020; pp. 685–710.

Gujarati, D.N.; Porter, D.C. Basic Econometrics; McGraw-Hill Education: New York, NY, USA, 2020.

Enders, W. Applied Econometric Time Series; Wiley: Hoboken, NJ, USA, 2022.

Lütkepohl, H. New Introduction to Multiple Time Series Analysis; Springer: Berlin, Germany, 2021.

Greene, W.H. Econometric Analysis; Pearson: London, UK, 2023.

Tsay, R.S. Impulse Response Analysis in Economic Time Series. J. Time Ser. Econ. 2021, 40, 450–480.

Hansen, L.P.; Singleton, K.J. Variance Decomposition in Macroeconomics: Theory and Applications. Am. Econ. Rev. 2022, 112.

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Published

2025-12-26

How to Cite

Nurhayati, & Muhammad Sarjana. (2025). Analysis of Import Dependency for Pharmaceutical Chemical Precursors (HS Code 29) and Its Correlation with the Volatility of the National Chemical Industry Price Index. Chemistry Journal (CJ), 2(2), 37–47. https://doi.org/10.70076/cj.v2i2.138