@article{37326f871f67438ba1d16ecc88794aff,
title = "Sustainable coal mine and coal land development in China",
abstract = "Because land is a non-renewable resource, land reclamation in mining regions has attracted significant research attention. This study divided China's 24 provinces into major and non-major coal-producing regions and employed a dynamic two-stage Slacks-Based Measure (SBM) recycling model to evaluate provincial mining production and mining land recovery stage efficiencies, from which the following was found: 1. the mining production efficiencies in the major coal-producing regions were higher than in the non-major coal-producing regions; 2. the mining land damage efficiencies in the major coal-producing regions were higher than in the non-major coal-producing regions; 3. the mining land recovery efficiencies in the major coal-producing regions were lower than in the non-major coal-producing regions; and 4. the mining land recovery efficiencies were better than the mining land damage efficiencies. Fourteen provinces; six major coal-producing regions and eight non-major coal-producing regions; had mining land recovery efficiencies of 1. This study suggested that the central government should assist the mining industry to upgrade its human resources to improve mining management and sustainability efficiencies.",
author = "Ying Li and Hongyi Cen and Lin, {Tai Yu} and Lin, {Yi Nuo} and Chiu, {Yung Ho}",
note = "Funding Information: Funding: National natural Science fund in China, No. 71773082; Sichuan Science project, No. 2020JDR0079; Sichuan Social Science project, No. SC20A008Government regulations have assisted the mining industry move toward more efficient operating models or improve efficiency. For example, Wu et al. (2019) took carbon dioxide emissions as an undesirable output and then used an EBM DEA model to analyze the production efficiencies in 16 Chinese mines, finding that most mines required efficiency improvements, and the closer the mine was to the city center, the lower the efficiency and the greater the need for improvements. Zhang and Song (2020) used a meta-frontier non-radial directional distance function (MNDDF) to evaluate the energy efficiencies in China's coal mining enterprises, finding that the unified efficiency was extremely low at between 0.1 and 0.3. Hou et al. (2020) took sulfur dioxide and smoke and dust emissions as the undesirable output and used a super-SBM model to analyze the sustainable development capabilities in different coal cities in China, concluding that the sustainable development capacities of China's coal cities were low and there were serious resource allocation and utilization inefficiencies. Wang et al. (2020) used a DEA model to evaluate the green mining efficiencies in 15 Chinese coal mining companies in 2019, in which the mining subsystem was the first production stage and the environmental governance subsystem was the second production stage and found that the exported information parameters from the two-stage model provided quantitative evidence to support green mining efficiency improvements. Fang et al. (2021) employed an SBM-DEA model to measure China's green mining industry total factor productivity, in which carbon dioxide emissions were the undesirable output, finding that foreign direct investment had a positive impact and technology and innovation investment, resource endowments, and industrialization had negative impacts. Funding Information: Funding: National natural Science fund in China , No. 71773082 ; Sichuan Science project , No. 2020JDR0079 ; Sichuan Social Science project , No. SC20A008 Publisher Copyright: {\textcopyright} 2022 Elsevier Ltd",
year = "2022",
month = dec,
doi = "10.1016/j.resourpol.2022.103092",
language = "English",
volume = "79",
journal = "Resources Policy",
issn = "0301-4207",
publisher = "Elsevier Limited",
}
