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Analysis of the Korean Copper Price Elasticity using Time-Varying Model

시변 모형을 이용한 국내 구리 가격탄력성 분석

  • Kangho Kim (Department of Earth Resources and Environmental Engineering, Hanyang University, Korea Mine Rehabilitation and Mineral Resources Corporation (KOMIR)) ;
  • Jinsoo Kim (Department of Earth Resources and Environmental Engineering, Hanyang University)
  • 김강호 (한양대학교 자원환경공학과, 한국광해광업공단) ;
  • 김진수 (한양대학교 자원환경공학과)
  • Received : 2024.01.29
  • Accepted : 2024.04.10
  • Published : 2024.06.30

Abstract

In this study, we analyzed the changes in copper consumption according to copper price fluctuations and identified the domestic copper price elasticity. A total of 408 time series data from January 1989 to December 2022 were analyzed using the vector autoregressive (VAR) model with net import volume, price, and production index as variables. In addition, to identify changes in the correlation between variables over time, the dynamic relationship between variables was identified using the time-varying vector autoregressive (TV-VAR) model. As a result of the analysis, it was confirmed that the negative price elasticity for copper is -0.1835. In addition, the interquartile range was -0.3130 ~ 0.0886, with no consistent trend over time, but mainly negative elasticity. This study can be used to quantify the expected impact of various policy proposals and changes related to minerals.

본 연구에서는 국제 구리 가격 변동에 따른 국내 수요 변화를 분석하여 국내 구리(전기동)의 가격탄력성을 분석하였다. 이를 위해 구리의 순 수입량, 가격, 생산지수를 변수로 1989년 1월부터 2022년 12월까지 총 408개의 시계열 자료에 대해 벡터자기회귀(Vector autoregressive, VAR) 모형을 구성하고, 시간의 흐름에 따른 변수 간의 상관관계 변화를 파악하고자 시변 모형(Time Varying VAR)을 사용하여 변수 간의 동적 관계를 분석하였다. 분석 결과 국내 구리의 가격탄력성은 -0.1835로 음의 가격탄력성이 존재함을 확인하였고, 사분위수 범위는 -0.3130 ~ 0.0886으로 시간의 흐름에 따라 일관성 있는 추세는 없지만 주로 음의 탄력성을 띠면서 탄력성이 변화하는 것을 확인하였다. 본 연구의 결과는 비축을 포함한 광물자원 관련 정책 수립 시 파생되는 기대효과를 정량화하여 제시하는 데 활용할 수 있다.

Keywords

References

  1. 김강호.김진수, "국제 광물가격 변화가 KOSPI 시가총액에 미치는 영향 분석", 「한국자원공학회」, 제60권 제2호, 2023, pp. 88~98.
  2. 김태헌.박지민, "주요국 핵심광물 확보 전략 분석", 에너지경제연구원, 2021.
  3. 김형건, "국내 수송용 석유제품 수요의 가격탄력성 변화 연구", 에너지경제연구원, 2012.
  4. 대통령실, "120대 국정과제", 대한민국정부, 2022. 7.
  5. 문영석, "석유안보 강화 방안 연구: 석유비축의 효율화", 에너지경제연구원, 2014.
  6. 산업통상자원부, "첨단산업 글로벌 강국 도약을 위한 핵심광물 확보전략", 산업통상자원부, 2023. 2.
  7. 한국은행, "수입 물가 상승의 산업별 가격전가 분석", 조사통계월보, 2022. 8.
  8. Crompton, P., "Explaining variation in steel consumption in the OECD," Resources Policy, Vol. 45, 2015, pp. 239~246. https://doi.org/10.1016/j.resourpol.2015.06.005
  9. Evans, M., and A. C. Lewis, "Dynamic metals demand model," Resources Policy, Vol. 30, No. 1, 2005, pp. 55~69. https://doi.org/10.1016/j.resourpol.2004.12.003
  10. Fernandez, V., "Price and income elasticity of demand for mineral commodities," Resources Policy, Vol. 59, 2018, pp. 160~183. https://doi.org/10.1016/j.resourpol.2018.06.013
  11. Gibson, J., and B. Kim, "The price elasticity of quantity, and of quality, for tobacco products," Health Economics, Vol. 28, No. 4, 2019, pp. 587~593. https://doi.org/10.1002/hec.3857
  12. IEA, The Role of Critical Minerals in Clean Energy Transitions, Paris, France, International Energy Agency, 2021. 5.
  13. Islam, M. M., K. Sohag, S. Hammoudeh, O. Mariev, and N. Samargandi, "Minerals import demands and clean energy transitions: A disaggregated analysis," Energy Economics, Vol. 113, 2022, 106205.
  14. IMF, World Economic Outlook: Growth Resuming, Dangers Remain, Washington, USA, International Monetary Fund, 2012. 4.
  15. IPCC, Climate Change 2022:Mitigation of Climate Change, IPCC Sixth Assessment Report, Geneva, Switzerland, Intergovernmental Panel on Climate Change, 2022.
  16. Jebran, K., Abdullah, M. M. Elhabbaq, and A. Ali, "Income and price elasticities of crude oil demand in Pakistan," Global Business Review, Vol. 18, No. 6, 2017, pp. 1373~1383. https://doi.org/10.1177/0972150917713049
  17. Leiby, P., and D. Bowman, "The value of expanded SPR drawdown capability," Oak Ridge national laboratory, USA, 2000.
  18. Lutkepohl, H., New Introduction to Multiple Time Series Analysis, Springer Science & Business Media, Berlin, Germany, 2005.
  19. Mardones, C., "Pigouvian taxes to internalize environmental damages from Chilean mining- A computable general equilibrium analysis," Journal of Cleaner Production, Vol. 362, 2022, 132359.
  20. Pei, F., and J. E. Tilton, "Consumer preferences, technological change, and the short-run income elasticity of metal demand," Resources Policy, Vol. 25, No. 2, 1999, pp. 87~109. https://doi.org/10.1016/S0301-4207(99)00013-6
  21. Phoumin, H., and S. Kimura, "Analysis on price elasticity of energy demand in East Asia: Empirical evidence and policy implications for ASEAN and East Asia," ERIA discussion paper series, Vol. 5, 2014, pp. 1~26.
  22. Primiceri, G. E., "Time varying structural vector autoregressions and monetary policy," The Review of Economic Studies, Vol. 72, No. 3, 2005, pp. 821~852. https://doi.org/10.1111/j.1467-937X.2005.00353.x
  23. Stuermer, M., "Industrialization and the demand for mineral commodities," Journal of International Money and Finance, Vol. 76, 2017, pp. 16~27. https://doi.org/10.1016/j.jimonfin.2017.04.006
  24. Tcha, M. J., and G. Takashina, "Is world metal consumption in disarray?" Resources Policy, Vol. 28, No. 1-2, 2002, pp. 61~74. https://doi.org/10.1016/S0301-4207(03)00006-0
  25. The White House, 100 day Supply Chain Review Report, Washington, USA, 2021.
  26. USGS, Mineral Commodity Summaries 2023, U.S. Geological Survey, Virginia, USA, 2023.