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Methods explained: Perpetual Inventory Method (PIM)

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  • Sumit Dey-Chowdhury

    (Department for Business, Enterprise & Regulatory Reform)

Abstract

Outlines where it is used within ONS and discusses the key parameters of a PIMThis article outlines where the perpetual inventory method (PIM) is used within the Office for National Statistics and discusses in detail the key parameters of a PIM; the asset service life, the retirement distribution and the depreciation function. It covers why these parameters are of importance in the application of a PIM and also highlights some of the key related conceptual issues. The article then concludes with an example illustrating how a PIM can be used to estimate gross capital stock, consumption of fixed capital and net capital stock, which are the principal uses of a PIM. Economic & Labour Market Review (2008) 2, 48–52; doi:10.1057/elmr.2008.124

Suggested Citation

  • Sumit Dey-Chowdhury, 2008. "Methods explained: Perpetual Inventory Method (PIM)," Economic & Labour Market Review, Palgrave Macmillan;Office for National Statistics, vol. 2(9), pages 48-52, September.
    • Handle: RePEc:pal:ecolmr:v:2:y:2008:i:9:p:48-52
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    Cited by:

    1. Defeng Zheng & Shuai Hao & Caizhi Sun & Leting Lyu, 2019. "Spatial Correlation and Convergence Analysis of Eco-Efficiency in China," Sustainability, MDPI, vol. 11(9), pages 1-16, April.
    2. Yu, Yantuan & Peng, Chong & Li, Yushuang, 2019. "Do neighboring prefectures matter in promoting eco-efficiency? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 456-465.
    3. Dechao Han, 2022. "Structural Reform, Technological Progress and Total Factor Productivity in Manufacturing," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    4. Aldieri, Luigi & Makkonen, Teemu & Paolo Vinci, Concetto, 2020. "Environmental knowledge spillovers and productivity: A patent analysis for large international firms in the energy, water and land resources fields," Resources Policy, Elsevier, vol. 69(C).
    5. Tan, Xiujie & Xiao, Ziwei & Liu, Yishuang & Taghizadeh-Hesary, Farhad & Wang, Banban & Dong, Hanmin, 2022. "The effect of green credit policy on energy efficiency: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    6. Hou, Zheng & Roseta-Palma, Catarina & Ramalho, Joaquim José dos Santos, 2021. "Does directed technological change favor energy? Firm-level evidence from Portugal," Energy Economics, Elsevier, vol. 98(C).
    7. Jian Zhou & Jingjing Deng & Li Li & Shuang Wang, 2023. "The Demographic Dividend or the Education Dividend? Evidence from China’s Economic Growth," Sustainability, MDPI, vol. 15(9), pages 1-17, April.

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