Resources Science, Volume. 42, Issue 8, 1580(2020)

Impact of strategic metal price shocks on industrial output:Time-varying analysis based on the TVP-FAVAR model

Meirui ZHONG1,2 and Wanting SONG1,2、*
Author Affiliations
  • 1School of Business, Central South University, Changsha 410083, China
  • 2Institute of Metal Resources Strategy, Central South University, Changsha 410083, China
  • show less
    Figures & Tables(9)
    Time-varying impulse responses of the output of strategic metal mining and dressing industry to the price shocks of strategic metal minerals
    Time-varying impulse responses of output of strategic metal smelting and rolling processing industry to the price shocks of strategic metal minerals
    Impact of the price shocks of strategic metal minerals on the output of strategic metal mining and dressing industry at different time points
    Impact of strategic metal mineral price shocks on the output of strategic metal smelting and rolling processing industry at different time points
    • Table 1. Four types of structural shock indicators

      View table
      View in Article

      Table 1. Four types of structural shock indicators

      结构性冲击指标参考文献
      供给冲击(15个指标)矿铜产量、精炼铜产量、粗铜产量、精铝产量、矿铅产量、精炼铅产量、矿锌产量、锌锭产量、矿镍产量、精炼镍产量、矿锡产量、精炼锡产量、矿钼产量、矿金产量、矿银产量Kilian[15]、 Chen等[23]Chen等[24]、成金华等[26]
      需求冲击(20个指标)G7工业生产指数、OECD工业生产指数、欧洲工业生产指数、欧盟工业生产指数、欧元区工业生产指数、美国工业生产指数、英国工业生产指数、法国工业生产指数、德国工业生产指数、意大利工业生产指数、加拿大工业生产指数、韩国工业生产指数、印度工业生产指数、俄罗斯工业生产指数、土耳其工业生产指数、墨西哥工业生产指数、巴西工业生产指数、阿根廷工业生产指数、日本工业生产指数、中国工业增加值增速成金华等[3]、Kilian[15]Chen等[23]、Chen等[24]
      金融投机冲击(27个指标)黄金非商业多头持仓数量、黄金非商业空头持仓数量、黄金非商业套利持仓数量、黄金非商业多头持仓数量占比、黄金非商业多头持仓交易者数量、黄金非商业空头持仓数量占比、黄金非商业空头持仓交易者数量、黄金非商业套利持仓数量占比、黄金非商业套利持仓交易者数量、银非商业多头持仓数量、银非商业空头持仓数量、银非商业套利持仓数量、银非商业多头持仓数量占比、银非商业多头持仓交易者数量、银非商业空头持仓数量占比、银非商业空头持仓交易者数量、银非商业套利持仓数量占比、银非商业套利持仓交易者数量、铜非商业多头持仓数量、铜非商业空头持仓数量、铜非商业套利持仓数量、铜非商业多头持仓数量占比、铜非商业多头持仓交易者数量、铜非商业空头持仓数量占比、铜非商业空头持仓交易者数量、铜非商业套利持仓数量占比、铜非商业套利持仓交易者数量Chen等[23]、Chen等[24]程慧等[25]、成金华等[26]
      特定需求冲击(10个指标)LME铜价、COMEX铜价、LME铝价、LME锌价、LME铅价、LME镍价、LME锡价、COMEX黄金价格、COMEX银价、LME基本金属指数Chen等[23]、程慧等[25]成金华等[26]
    • Table 2. Principal component analysis results of four main factors

      View table
      View in Article

      Table 2. Principal component analysis results of four main factors

      成分特征值相应特征值与后一项的差解释比例/%累积特征值累积解释比例/%
      F118.71999.513226.0018.719926.00
      F29.20683.396712.7927.926738.79
      F35.81000.86708.0733.736746.86
      F44.94311.69266.8738.679853.72
    • Table 3. Top 10 main indicators and R2 values of the extracted main factors

      View table
      View in Article

      Table 3. Top 10 main indicators and R2 values of the extracted main factors

      F1R2F2R2
      全球金矿产量0.9181金属价格指数0.5785
      全球精炼铜产量0.8961OECD工业生产指数0.5480
      土耳其工业生产指数0.8910LME铜价格0.5223
      铜空头持仓数量0.7832欧洲工业生产指数0.5195
      铜多头交易者数量0.7691COMEX铜价格0.5070
      铜多头持仓数量0.7633LME铝价格0.4774
      全球精炼铅产量0.7500G7工业生产指数0.4593
      全球粗铜产量0.7429欧元区工业生产指数0.4397
      铜套利交易者数量0.7410欧盟工业生产指数0.4393
      全球锌锭产量0.7319德国工业生产指数0.3728
      F3R2F4R2
      LME锌价格0.2911黄金多头交易者数量0.6561
      金属价格指数0.2587黄金套利交易者数量0.5961
      国际银价0.2354白银多头交易者数量0.5362
      LME镍价格0.2184铜空头交易者数量0.4646
      COMEX铜价格0.2118墨西哥工业生产指数0.1909
      LME铜价格0.2102巴西工业生产指数0.1622
      欧洲工业生产指数0.2049G7工业生产指数0.1556
      欧盟工业生产指数0.2013铜套利持仓数量0.1439
      黄金多头持仓占比0.1951白银套利交易者数量0.1385
      欧元区工业生产指数0.1840美国工业生产指数0.1295
    • Table 4. Model parameter estimation results

      View table
      View in Article

      Table 4. Model parameter estimation results

      参数均值标准差95%下限95%上限Geweke无效因子
      (F1, F2, F3, F4, MDIO)
      (β)10.02270.00250.01840.02820.39408.9900
      (β)20.02250.00250.01830.02800.55308.4700
      (α)10.08560.02960.04480.15530.291063.0000
      (α)20.08190.02850.04310.15360.411040.3400
      (h)10.23070.09940.08260.44580.1120125.9800
      (h)20.30050.10750.13310.56310.739078.8300
      (F1, F2, F3, F4, SRPIO)
      (β)10.02240.00260.01800.02820.84309.3600
      (β)20.02230.00240.01820.02770.28506.9100
      (α)10.09240.03600.04780.18450.270049.9100
      (α)20.08080.02780.04220.15220.444068.5100
      (h)10.21440.10270.07320.49220.998093.2800
      (h)20.28480.10740.11960.52340.719089.2800
    • Table 5. Contribution of strategic metal price shocks to the forecast variance of strategic metal industry output (%)

      View table
      View in Article

      Table 5. Contribution of strategic metal price shocks to the forecast variance of strategic metal industry output (%)

      F1F2F3F4
      战略性金属矿采选业1期后0.96490.94830.00130.0206
      6期后4.99071.61494.59060.1088
      12期后15.36281.72786.24890.1125
      战略性金属冶炼及压延加工业1期后0.00151.47390.02090.7189
      6期后0.43794.14891.81960.5419
      12期后2.25786.43722.28670.5118
    Tools

    Get Citation

    Copy Citation Text

    Meirui ZHONG, Wanting SONG. Impact of strategic metal price shocks on industrial output:Time-varying analysis based on the TVP-FAVAR model[J]. Resources Science, 2020, 42(8): 1580

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: Feb. 21, 2020

    Accepted: --

    Published Online: Apr. 23, 2021

    The Author Email: SONG Wanting (songwanting8972@163.com)

    DOI:10.18402/resci.2020.08.12

    Topics