<p>As a strategic direction in China’s emerging industries, the new energy battery (NEB) sector holds significant importance in promoting low-carbon energy transformation and reducing greenhouse gas emissions. By using data from 2016 to 2022 of China’s NEB industry, this paper employs a translog cost function to calculate substitution elasticity and the technological progress bias index among the factors of capital, labor, and critical metals. Then it analyzes the impact of biased technological progress on the total factor productivity (TFP) of China’s NEB industry by introducing the factor allocation structure as an intermediate variable. The results show that: (1) Capital and critical metals, as well as labor and critical metals both have a mutual substitution relationship; (2) Technological progress shows a bias towards capital and critical metals; (3) Biased technological progress has a significant promoting effect on TFP growth in China’s NEB industry; (4) The factor allocation structure exhibits different pathways of intermediary effects on TFP growth when technological progress is biased towards capital and critical metals. This study provides scientific guidance for the government and enterprises in terms of production factor allocation and environmental policy formulation in the NEB industry.</p>

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Critical metal price fluctuation, biased technological progress and total factor productivity of new energy battery enterprises

  • Shuifeng Hong,
  • Yanwen Han,
  • Yimin Luo,
  • Yao Zhang

摘要

As a strategic direction in China’s emerging industries, the new energy battery (NEB) sector holds significant importance in promoting low-carbon energy transformation and reducing greenhouse gas emissions. By using data from 2016 to 2022 of China’s NEB industry, this paper employs a translog cost function to calculate substitution elasticity and the technological progress bias index among the factors of capital, labor, and critical metals. Then it analyzes the impact of biased technological progress on the total factor productivity (TFP) of China’s NEB industry by introducing the factor allocation structure as an intermediate variable. The results show that: (1) Capital and critical metals, as well as labor and critical metals both have a mutual substitution relationship; (2) Technological progress shows a bias towards capital and critical metals; (3) Biased technological progress has a significant promoting effect on TFP growth in China’s NEB industry; (4) The factor allocation structure exhibits different pathways of intermediary effects on TFP growth when technological progress is biased towards capital and critical metals. This study provides scientific guidance for the government and enterprises in terms of production factor allocation and environmental policy formulation in the NEB industry.