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Influences of Extreme Precipitation on China’s Mining Industry

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  • Yuanzhe Liu

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Wei Song

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

Global climate change is increasingly influencing the economic system. With the frequent occurrence of extreme weather events, the influences of climate change on the economic system are no longer limited to the agricultural sector, but extend to the industrial system. However, there is little research on the influences of climate change on industrial economic systems. Among the different sectors of the industrial economic system, the mining industry is more sensitive to the influences of climate change. Here, taking the mining industry as an example, we analyzed the influences of extreme precipitation on the mining industry using the trans-logarithm production function. In addition, the marginal output elasticity analysis method was employed to analyze the main factors influencing the mining industry. It was found that the mining investment in fixed assets, labor input, and technical progress could promote the development of the mining economy, while the extreme precipitation suppressed the growth of the mining industry. The increase in fixed asset investment and the technical progress could enhance the resistance of the mining industry to extreme precipitation, while there was no indication that labor input can reduce the influences of extreme precipitation.

Suggested Citation

  • Yuanzhe Liu & Wei Song, 2019. "Influences of Extreme Precipitation on China’s Mining Industry," Sustainability, MDPI, vol. 11(23), pages 1-15, November.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6719-:d:291424
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    References listed on IDEAS

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    1. Smithson, Charles W., 1979. "Relative factor usage in canadian mining: Neoclassical substitution or biased technical change?," Resources and Energy, Elsevier, vol. 2(4), pages 373-389, December.
    2. Berlemann, Michael & Wenzel, Daniela, 2018. "Hurricanes, economic growth and transmission channels," World Development, Elsevier, vol. 105(C), pages 231-247.
    3. Fan, Songmei & Yan, Jingjing & Sha, Jinghua, 2017. "Innovation and economic growth in the mining industry: Evidence from China's listed companies," Resources Policy, Elsevier, vol. 54(C), pages 25-42.
    4. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    5. Naeem Akram, 2012. "Is climate change hindering economic growth of Asian economies?," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 19(2), pages 1-18, December.
    6. Dolan, C. & Blanchet, J. & Iyengar, G. & Lall, U., 2018. "A model robust real options valuation methodology incorporating climate risk," Resources Policy, Elsevier, vol. 57(C), pages 81-87.
    7. Beniston, Martin, 2007. "Linking extreme climate events and economic impacts: Examples from the Swiss Alps," Energy Policy, Elsevier, vol. 35(11), pages 5384-5392, November.
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