4.7 Article

A two-stage DEA evaluation of Chinese mining industry technological innovation efficiency and eco-efficiency

Journal

ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
Volume 94, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.eiar.2022.106762

Keywords

Two-stage DEA; Mining industry; Technological innovation efficiency; Eco-efficiency; Efficiency optimization

Funding

  1. National Natural Science Founda-tion of China [71991482, 72074198, 71874165]
  2. National Social Science Fund of China [21AZD074]
  3. Research Foundation of Philosophy and Social sciences of Ministry of Education of China [20JHQ094]
  4. Soft science research project of technological innovation in Hubei Province [2019ADC154]
  5. Young Talents Foundation of the Central Propaganda Department
  6. Funda-mental Research Funds for National Universities, China University of Geosciences (Wuhan)

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Improving technological innovation efficiency and eco-efficiency is crucial for achieving a high-quality and sustainable mining industry in China. This study applies a two-stage DEA model to measure the mining technological innovation efficiency (MTIE), mining eco-efficiency (MEE), and mining comprehensive efficiency (MCE) of 30 provinces in China. The findings show the impact of mining economic development on MCE, regional differences in MTIE and MEE, and the need for efficiency optimization through different paths. Policy recommendations are provided to guide the high-quality development of the Chinese mining industry.
Improving technological innovation efficiency and eco-efficiency is the key to achieving a high-quality, sustainable mining industry in China. In order to explore the internal process of technological innovation to promote economic and environmental benefits and to clarify the optimization path to improve the overall efficiency of the mining industry. A two-stage DEA model is used to construct indicators to measure Chinese 30 provinces mining technological innovation efficiency (MTIE), mining eco-efficiency (MEE), and mining comprehensive efficiency (MCE). Because of the lag in innovation, the study period was divided into nine periods from 2008 to 2018 into three-year time slices, and the dynamic evolution of time and space was analyzed. It was found that: (i) MCE and MTIE maintained the same changing trends, with the MCE being generally higher in areas with higher levels of mining economic development; (ii) the MTIE and MEE in the western area were higher than in the other regions, of which Qinghai was the only province that had efficiencies of more than 1 in both stages; (iii) most provinces belonged to type II regions with high MEE-low MTIE or type III regions with low MEE-low MTIE. The scientific achievements output in the first stage was generally insufficient, and the inputs and outputs in the second stage were redundant. There are three paths to optimize efficiency: unilateral optimization, gradual optimization, and jumping optimization. Finally, based on the above findings, policy recommendations are given from three aspects; reducing excess capacity, increasing investment, and building a platform, all of which can provide optimized plans and references for realizing the high-quality development of the Chinese mining industry.

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