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Pengukuran Naicu Pada Sektor Industri Pengolahan Berdasarkan Dual Cost Capacity Utilization

Author

Listed:
  • Endy D Tjahjono

    (Bank Indonesia)

  • Jardine Husman

    (Bank Indonesia)

  • Desthy Sianipar

    (Bank Indonesia)

Abstract

Following the study on the measurement of capacity utilization of manufacturing industries in Indonesia (Tjahjono, Husman, and Sianipar (2005)), this paper estimates the level of NAICU, Non-Accelerating Inflation rate of Capacity Utilization. According to this concept, NAICU is the level of capacity utilization consistent with stable inflation. If the level of capacity utilization exceeds the level of NAICU, then there will be pressure on inflation to accelerate. On the contrary, there won»t be acceleration on inflation if the level of capacity utilization below the level of NAICU. Using the threshold method based on Hansen (1999), the empirical result shows that dual cost capacity utilization of manufacturing industries are generally below the level of NAICU, which is 80%.

Suggested Citation

  • Endy D Tjahjono & Jardine Husman & Desthy Sianipar, 2007. "Pengukuran Naicu Pada Sektor Industri Pengolahan Berdasarkan Dual Cost Capacity Utilization," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 9(4), pages 1-26, April.
    • Handle: RePEc:idn:journl:v:9:y:2007:i:4:p:1-26
    DOI: https://doi.org/10.21098/bemp.v9i4.215
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    More about this item

    Keywords

    Capacity Utilization; Inflation; Threshold Regression; Panel;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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