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Metal intensity of use in the era of global value chains

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Abstract

The growing importance and complexity of global value chains distances consumption of metals embodied in final goods from the time and location of initial ore mining, processing, and trade. Fragmentation of global production complicates the analysis of metal intensity of use and requires novel approaches and types of data used. In this study, we use the trade in value-added (TiVA) database as it allows for the measurement of value added of a particular industry embodied in final demand, while accounting for contributions of domestic and foreign suppliers of intermediate goods. Recent studies show that these value-added consumption data reduce double counting that characterizes conventional gross data. Using the panel data on 63 countries over 1995–2011, we find that economic structure explains variations in metal intensity of use which we define as a ratio of value added of metals consumed to the aggregate value added. Given the declining shares of manufacturing and increasing shares of services in both advanced and developing economies, we may expect global metal intensity of use to decrease in the long run. However, metal intensity of use may receive some boosts due to expansionary stages of the business cycle and increased investment. In addition, those metals that are used in high technology applications may experience increasing intensity of use.

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Notes

  1. Johnson and Noguera (2012) find that trade in intermediate inputs accounts for as much as two-thirds of international trade.

  2. This is similar to the calculation of labor value added of exports calculations performed by Cali et al. (2016).

  3. This sector is commonly regarded as a source of economy-wide productivity gains: “The electrical machinery and optical equipment sector is an important and strategic part of Europe’s manufacturing sector, producing a wide range of mostly high-technology products (for example, computers, switchgears or semi-conductors). This sector has been cited as being at the centre of industrial development, as almost every other sector depends, at least to some degree, on the capital equipment, technology, end-products, research and innovations that are provided by the electrical machinery and optical equipment sector.” (Eurostat 2009, p. 258; Eurostat 2012)

  4. See Hellmer and Ekstrand (2012) regarding China’s role in the world’s iron ore market and Tercero Espinoza and Soulier (2016) regarding China’s role in world copper markets

References

  • Al-Rawahi KA, Rieber M (1991) Embodied copper: trade, intensity of use and consumption forecasts. Resour Policy 17(1):2–12

    Article  Google Scholar 

  • Behrens A, Giljum S, Kovanda J, Niza S (2007) The material basis of the global economy: worldwide patterns of natural resource extraction and their implications for sustainable resource use policies. Ecol Econ 64(2):444–453

    Article  Google Scholar 

  • Calì M, Francois J, Hollweg CH, Manchin M, Oberdabernig DA, Rojas-Romagosa H, Rubinova S, Tomberger P (2016) The labor content of exports database. The World Bank. https://boris.unibe.ch/89215/1/The%20Labor%20Content%20of%20Exports%20Database.pdf. Accessed 28 Feb 2019

  • Cleveland CJ, Ruth M (2008) Indicators of dematerialization and the materials intensity of use. J Ind Ecol 2:15–50. https://doi.org/10.1162/jiec.1998.2.3.15

    Article  Google Scholar 

  • Crowson P (2018) Intensity of use re-examined. Miner Econ 31:71–70

    Article  Google Scholar 

  • Dohrn R, Kratschell K (2014) Long-term trends in steel consumption. Miner Econ 27(1):43–49

    Article  Google Scholar 

  • Dutta A (2018) The impacts of oil volatility of metal markets: a research note. Resour Policy 55:9–19

    Article  Google Scholar 

  • Eurostat (2009) European business: facts and figures. https://ec.europa.eu/eurostat/web/products-statistical-books/-/KS-BW-09-001

  • Eurostat (2012) Economy-wide material flow accounts. Compilation guide 2012. Statistical Office of the European Communities, Luxemburg

    Google Scholar 

  • Francois J, Manchin M, Tomberger P (2015) Services linkages and the value added content of trade. World Econ 38(11):1631–1649

    Article  Google Scholar 

  • Hellmer S, Ekstran J (2012) The iron ore world market in the early twenty first century—the impact of increasing Chinese dominance. Miner Econ 25(2–3):89–95

    Google Scholar 

  • Humphreys D (2018a) In search of a new China: mineral demand in South and Southeast Asia. Miner Econ 31:103–112

    Article  Google Scholar 

  • Humphreys D (2018b) The mining industry after the boom. Miner Econ. https://doi.org/10.1007/s13563-018-0155-x

  • Hutchison RS, Tilton JE (1987) Is the intensity of copper use still declining in the USA? Nat Res Forum, https://doi.org/10.1111/j.1477-8947.1987.tb00003.x

  • International Monetary Fund (2018) People’s Republic of China: 2018 Article IV Consultation-Press Release; Staff Report; Staff Statement and Statement by the Executive Director for the People’s Republic of China. IMF Report No. 18/240. https://www.imf.org/~/media/Files/Publications/CR/2018/cr18240.ashx. Accessed 5 March 2019

  • Jaunky VC (2012) Is there a material Kuznets curve for aluminium: evidence from rich countries. Resour Policy 37(3):296–307

    Article  Google Scholar 

  • Johnson RC (2014) Five facts about value-added exports and implications for macroeconomics and trade research. J Econ Perspect 28(2):119–142

    Article  Google Scholar 

  • Johnson RC, Noguera G (2012) Accounting for intermediates: production sharing and trade in value added. J Int Econ 82(2):224–236

    Article  Google Scholar 

  • Koopman R, Powers W, Wang Z, Wei S-J (2010) Give credit where credit is due: tracing value added in global production chains. National Bureau of Economic Research. Working paper 16426. https://www.nber.org/papers/w16426. Accessed 5 March 2019

  • Koopman R, Wang Z, Wei S-J (2014) Tracing value-added and double counting in gross exports. Am Econ Rev 104(2):459–494

    Article  Google Scholar 

  • Kuznets S (1979) Growth and structural shifts. In: Galensen W (ed) Economic growth and structural change in Taiwan. The Postwar Experience of the Republic of China. Cornell University Press, Ithaca, pp 15–131

    Google Scholar 

  • Lohani PR, Tilton JE (1993) A cross-section analysis of metal intensity of use in the less developed countries. Resources Policy 19(2):145–154

    Article  Google Scholar 

  • Maddison A (1987) Growth and slowdown in advanced capitalist economies: techniques of quantitative assessment. Journal of Economic Literature 25:649–698

    Google Scholar 

  • Malenbaum W (1978) World demand for raw materials in 1985 and 2000. McGraw-Hill, New York

    Google Scholar 

  • Manberger A, Stenqvist (2018) Global metal flows in the renewable energy transition: exploring the effects of substitutes, technological mix and development. Energy Policy 119:226–241

    Article  Google Scholar 

  • Matera G (2017) The steel industry in the context of GVCs. OECD Steel Committee. https://www.oecd.org/industry/ind/82nd_OECD_Steel_Committee_Gianpiero_Materrra_GVCs.pdf. Accessed 28 Feb 2019

  • McMillan M, Rodrik D (2011) Globalization, structural change and productivity growth. Working paper 17143. National Bureau of Economic Research, Cambridge, MA https://www.nber.org/papers/w17143.pdf

  • Meyer B, Meyer M, Distekamp M (2012) Modelling green growth and resource efficiency: new results. Miner Econ 24(2–3):145–154

    Article  Google Scholar 

  • Organization for Economic Cooperation and Development, World Trade Organization (2012) Trade in value-added: concepts, methodologies and challenges. A joint OECD-WTO note. https://www.oecd.org/sti/ind/49894138.pdf. Accessed 28 Feb 2019

  • Pei F, Tilton JE (1999) Consumer preferences, technological change, and the short-run income elasticity of metal demand. Resources Policy 25:87–109

    Article  Google Scholar 

  • Radetzki M, Tilton JE (1990) Conceptual and methodological issues. In: Tilton JE (ed) World metal demand: trends and prospects. Resources for the Future, Washington, pp 13–34

  • Reboredo JC, Ugolini A (2016) The impact of downward/upward oil price movements on metal prices. Resources Policy 49:129–141

    Article  Google Scholar 

  • Resource Watch (2018) Technical annex for Global Materials Flow database. http://www.resourcepanel.org/global-material-flows-database. Accessed 28 Feb 2019

  • Syrquin M (1984) Resource allocation and productivity growth. In: Syrquin M, Taylor L, Westphal LE (eds) Economic structure performance—essays in honor of Hollis B. Chenery. Academic Press, Orlando, pp 75–101

    Chapter  Google Scholar 

  • Tercero Espinoza LA, Soulier M (2016) An examination of copper contained in international trade flows. Miner Econ 29(2–3):47–56

    Article  Google Scholar 

  • Tilton JE (1989) The new view of minerals and economic growth. Econ Rec 65(3):265–278

    Article  Google Scholar 

  • Timmer MP, Dietzenbacher E, Los B, Stehrer R, de Vries GJ (2015) An illustrated user guide to the world input–output database: the case of global automotive production. Rev Int Econ 23:575–605

    Article  Google Scholar 

  • United Nations (2002) International Standard Industrial Classification of All Economic Activities (ISIC) Revision 3.1. United Nations, New York

    Google Scholar 

  • Van Vuuren DP, Strengers BJ, De Vries HJM (1999) Long-term perspectives on world metal use—a system-dynamics model. Resources Policy 25(4):239–255

    Article  Google Scholar 

  • Warell L (2014) Trends and developments in long-term steel demand—the intensity-of-use hypothesis revisited. Resour Policy 39:134–143

    Article  Google Scholar 

  • Wiebe K, Yamano N (2016) Estimating CO2 emissions embodied in final demand and trade using the OECD ICIO 2015: methodology and results. OECD Science, Technology and Industry Working Papers No. 2016/05, OECD Publishing, Paris.

  • World Bank (2018a) World Bank commodities price data. Monthly prices. http://www.worldbank.org/en/research/commodity-markets

  • World Bank (2018b) World development indicators. http://databank.worldbank.org/data/source/world-development-indicators#

  • Yamano N, Alsamawi A (2017) Trade in value added (TiVA) and steel. OECD Directorate for Science, Technology and Innovation

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Correspondence to Peter Howie.

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This study is respectfully dedicated to John Tilton.

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List of countries in TiVA database and their metal intensity of use

List of countries in TiVA database and their metal intensity of use

Table 8 VA intensity of use, 1995–2011 average

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Atakhanova, Z., Howie, P. Metal intensity of use in the era of global value chains. Miner Econ 33, 101–113 (2020). https://doi.org/10.1007/s13563-019-00176-5

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