Abstract
Promoting green growth in the mining sector requires efficient use of mineral resources, improving economic operations' quality and performance and strengthening ecological and environmental governance. Local economies face different and conflicting plans, along with potential implementation constraints, while implementing green growth initiatives. Efficiency in mining green growth is a crucial aspect to monitor the progress of China's local mining industry in the future. This paper presents a framework for three-stage network structure evaluation of mining industry's green growth efficacy. A dynamic network model, using Slacks-Based Measure (SBM) approach, analyzes the green growth of the mining industry in 21 Chinese provinces between 2005 and 2019. The Malmquist index is used to analyze the dynamic patterns and endogeneity of mining green growth efficiency. The results show that the efficiency of most provinces exhibited a decrease before rebounding during the observation period. Overall efficiency is strongly correlated with improved eco-performance, which is a result of green mining. There are substantial discrepancies in the pace and extent of green growth across different provinces, with a few boasting growth rates exceeding 25% annually. Eastern provinces, particularly Hubei, Fujian, and Shandong, demonstrate impressive trends and substantial potential. However, the unsatisfactory situation in the Northeast and Xinjiang regions persists. Their lack of effectiveness can be attributed to various sub-processes.
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