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Crude oil footprint in the rapidly changing world and implications from their income and price elasticities

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  • Zheng, Xinzhu
  • Wang, Ranran
  • Liddle, Brantley
  • Wen, Yuli
  • Lin, Lu
  • Wang, Lining

Abstract

Oil demand's income and price elasticities are important behavioral parameters for policy making. Despite its popularity in research, few studies investigated the elasticities of consumption-based oil demand, i.e., the amount of crude oil required to meet a nation's final demand regardless of the location of extractions, namely the oil footprint. Here we quantified the oil footprint of 49 countries/regions from 1995 to 2017 and estimated the elasticities of oil footprints using the panel Autoregressive Distributed Lag model. The results reveal the oil connections among countries hidden in the non-oil trade: the United States, China, and Japan imported a large amount of virtual oil embodied in the commodities and services, while Canada and Russia are the dominant suppliers. The elasticity estimations on 30 OECD countries show that oil footprints are more responsive to income increases in the long run than their short-run counterpart, with the elasticities around 0.75 and 0.48, respectively. Tariffs on oil products might not curb the oil footprint as the price elasticities are not robustly significant or negative. Moreover, the divergent elasticities of oil footprint by consumption categories highlight that more attention should be paid to the surge of oil demand embodied in construction, manufactured products, and services.

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  • Zheng, Xinzhu & Wang, Ranran & Liddle, Brantley & Wen, Yuli & Lin, Lu & Wang, Lining, 2022. "Crude oil footprint in the rapidly changing world and implications from their income and price elasticities," Energy Policy, Elsevier, vol. 169(C).
  • Handle: RePEc:eee:enepol:v:169:y:2022:i:c:s0301421522004244
    DOI: 10.1016/j.enpol.2022.113204
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    as
    1. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "A meta-analysis on the price elasticity of energy demand," Energy Policy, Elsevier, vol. 102(C), pages 549-568.
    2. Huntington, Hillard G. & Barrios, James J. & Arora, Vipin, 2019. "Review of key international demand elasticities for major industrializing economies," Energy Policy, Elsevier, vol. 133(C).
    3. Wu, X.F. & Chen, G.Q., 2019. "Global overview of crude oil use: From source to sink through inter-regional trade," Energy Policy, Elsevier, vol. 128(C), pages 476-486.
    4. Kilian, Lutz, 2022. "Understanding the estimation of oil demand and oil supply elasticities," Energy Economics, Elsevier, vol. 107(C).
    5. Dees, Stephane & Karadeloglou, Pavlos & Kaufmann, Robert K. & Sanchez, Marcelo, 2007. "Modelling the world oil market: Assessment of a quarterly econometric model," Energy Policy, Elsevier, vol. 35(1), pages 178-191, January.
    6. Ziramba, Emmanuel, 2010. "Price and income elasticities of crude oil import demand in South Africa: A cointegration analysis," Energy Policy, Elsevier, vol. 38(12), pages 7844-7849, December.
    7. Ghoddusi, Hamed & Rodivilov, Alexander & Roy, Mandira, 2021. "Income elasticity of demand versus consumption: Implications for energy policy analysis," Energy Economics, Elsevier, vol. 95(C).
    8. Polemis, Michael L., 2006. "Empirical assessment of the determinants of road energy demand in Greece," Energy Economics, Elsevier, vol. 28(3), pages 385-403, May.
    9. I. A. Grant Wilson & Iain Staffell, 2018. "Rapid fuel switching from coal to natural gas through effective carbon pricing," Nature Energy, Nature, vol. 3(5), pages 365-372, May.
    10. World Bank, 2017. "World Development Indicators 2017," World Bank Publications - Books, The World Bank Group, number 26447, December.
    11. Joakim Westerlund, 2005. "New Simple Tests for Panel Cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 297-316.
    12. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    13. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    14. Akinboade, Oludele A. & Ziramba, Emmanuel & Kumo, Wolassa L., 2008. "The demand for gasoline in South Africa: An empirical analysis using co-integration techniques," Energy Economics, Elsevier, vol. 30(6), pages 3222-3229, November.
    15. Bhattacharyya, Subhes C. & Blake, Andon, 2009. "Domestic demand for petroleum products in MENA countries," Energy Policy, Elsevier, vol. 37(4), pages 1552-1560, April.
    16. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    17. Dahl, Carol A., 2012. "Measuring global gasoline and diesel price and income elasticities," Energy Policy, Elsevier, vol. 41(C), pages 2-13.
    18. Altinay, Galip, 2007. "Short-run and long-run elasticities of import demand for crude oil in Turkey," Energy Policy, Elsevier, vol. 35(11), pages 5829-5835, November.
    19. Baranzini, Andrea & Weber, Sylvain, 2013. "Elasticities of gasoline demand in Switzerland," Energy Policy, Elsevier, vol. 63(C), pages 674-680.
    20. Costantini, Valeria & Gracceva, Francesco & Markandya, Anil & Vicini, Giorgio, 2007. "Security of energy supply: Comparing scenarios from a European perspective," Energy Policy, Elsevier, vol. 35(1), pages 210-226, January.
    21. Brantley Liddle and Hillard Huntington, 2020. "Revisiting the Income Elasticity of Energy Consumption: A Heterogeneous, Common Factor, Dynamic OECD & non-OECD Country Panel Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 207-230.
    22. Raghoo, Pravesh & Surroop, Dinesh, 2020. "Price and income elasticities of oil demand in Mauritius: An empirical analysis using cointegration method," Energy Policy, Elsevier, vol. 140(C).
    23. Moore, Alvon, 2011. "Demand elasticity of oil in Barbados," Energy Policy, Elsevier, vol. 39(6), pages 3515-3519, June.
    24. Li, Rongrong & Wang, Qiang & Wang, Xuefeng & Zhou, Yulin & Han, Xinyu & Liu, Yi, 2022. "Germany's contribution to global carbon reduction might be underestimated – A new assessment based on scenario analysis with and without trade," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    25. Lutz Kilian & Daniel P. Murphy, 2014. "The Role Of Inventories And Speculative Trading In The Global Market For Crude Oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 454-478, April.
    26. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    27. Yousaf Raza, Muhammad & Lin, Boqiang, 2021. "Oil for Pakistan: What are the main factors affecting the oil import?," Energy, Elsevier, vol. 237(C).
    28. Liddle, Brantley & Huntington, Hillard, 2020. "‘On the Road Again’: A 118 country panel analysis of gasoline and diesel demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 151-167.
    29. Ben Sita, Bernard & Marrouch, Walid & Abosedra, Salah, 2012. "Short-run price and income elasticity of gasoline demand: Evidence from Lebanon," Energy Policy, Elsevier, vol. 46(C), pages 109-115.
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