Greening the mines: Managing efficiency, environmental impact, and ecology in Chinese mining regions

This research aims to devise a statistically sound method for evaluating the efficacy of green development in the mining industry across various Chinese regions while keeping environmental challenges and ecological conservation in view to identify potential challenges and opportunities for implementing green growth initiatives in the mining industry. A three-stage network structure is utilized for evaluation. By employing a dynamic network framework utilizing the Slacks-Based Measure (SBM) method, the research explores the progress of green development in the mining sector across 21 Chinese regions from 2005 to 2022. The Malmquist index examines the changing trends and internal efficiency of green development in mining. The outcomes suggest that productivity levels decreased initially in most provinces before improving over time. The efficiency of the overall process is closely linked to the enhancement of ecological efficiency, which is a direct outcome of adopting sustainable mining practices. Disparities in the pace and extent of environmentally friendly economic development are evident among provinces, with some experiencing annual development rates exceeding 25 %. Eastern regions like Hubei, Fujian, and Shandong show promising trends and opportunities. However, challenges persist in the Northeast and Xinjiang provinces, where inefficiencies may be recognized in several sub-processes. • A three-stage dynamic network SBM model is proposed to evaluate green mining development in 21 Chinese regions (2005–2022). • Productivity initially declined but later improved, underscoring sustainable mining practices for better ecological efficiency. • Notable regional disparities are discovered, with some provinces achieving green economic growth rates exceeding 25% annually. • Eastern regions showed promising green growth; Northeast and Xinjiang faced ongoing sustainability challenges and inefficiencies. • Continuous monitoring and tailored policies are needed to tackle regional gaps and foster green growth in the mining sector.

Authors

Institutions

Publication Details

Journal
Resources Policy
Published
2025-03-27
DOI
https://doi.org/10.1016/j.resourpol.2025.105564
Citations
9
Primary Topic
Mining and Resource Management
Type
article
Field-Weighted Citation Impact
9.06
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Greening the mines: Managing efficiency, environmental impact, and ecology in Chinese mining regions

Cosimo Magazzino, Muhammad Haroon, Xian Zeo
9 citations
Resources Policy
Mining and Resource Management
9.06
article

Greening the mines: Managing efficiency, environmental impact, and ecology in Chinese mining regions

Cosimo Magazzino, Muhammad Haroon, Xian Zeo
article en
9 citations

Abstract

This research aims to devise a statistically sound method for evaluating the efficacy of green development in the mining industry across various Chinese regions while keeping environmental challenges and ecological conservation in view to identify potential challenges and opportunities for implementing green growth initiatives in the mining industry. A three-stage network structure is utilized for evaluation. By employing a dynamic network framework utilizing the Slacks-Based Measure (SBM) method, the research explores the progress of green development in the mining sector across 21 Chinese regions from 2005 to 2022. The Malmquist index examines the changing trends and internal efficiency of green development in mining. The outcomes suggest that productivity levels decreased initially in most provinces before improving over time. The efficiency of the overall process is closely linked to the enhancement of ecological efficiency, which is a direct outcome of adopting sustainable mining practices. Disparities in the pace and extent of environmentally friendly economic development are evident among provinces, with some experiencing annual development rates exceeding 25 %. Eastern regions like Hubei, Fujian, and Shandong show promising trends and opportunities. However, challenges persist in the Northeast and Xinjiang provinces, where inefficiencies may be recognized in several sub-processes. • A three-stage dynamic network SBM model is proposed to evaluate green mining development in 21 Chinese regions (2005–2022). • Productivity initially declined but later improved, underscoring sustainable mining practices for better ecological efficiency. • Notable regional disparities are discovered, with some provinces achieving green economic growth rates exceeding 25% annually. • Eastern regions showed promising green growth; Northeast and Xinjiang faced ongoing sustainability challenges and inefficiencies. • Continuous monitoring and tailored policies are needed to tackle regional gaps and foster green growth in the mining sector.

Resources PolicyVol. 103
Roma Tre University (IT), Beijing Institute of Technology (CN), Western Caspian University (AZ), Ghazi University (PK), Beijing Research Institute of Mechanical and Electrical Technology (CN), Institute of Economics (CN)
Responsible consumption and production
Openalex Percentile: Top 2%
Mining and Resource Management
9.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.