Natural resources and green economic growth: A pathway to innovation and digital transformation in the mining industry

被引:2
|
作者
Zhou, Yue [1 ]
机构
[1] Sch Integrated Sci & Technol, Seoul, South Korea
关键词
Green economic growth; Natural resource dependance; Digital transformation; Mining industry; LIFE-CYCLE; MINE;
D O I
10.1016/j.resourpol.2024.104667
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Sustainable development goals are increasingly being pushed for the mining sector, which has a significant energy use and severe environmental effect. The situation in China, particularly in its 276 prefecture-level cities, has become more severe as a result of the fast industrialization and urbanization that occurred between 2010 and 2020. This has placed significant pressure on natural resources. This research examines how mining sector innovation and digital change may foster sustainable economic development. Technology to maximize natural resource use, limit environmental impacts, and promote sustainable economic development in China's 276 prefecture-level cities during the last decade is the key focus. Information was gathered from several sources, encompassing governmental reports, industrial surveys, and scholarly publications. Complex relationships between natural resource utilization, industrial outputs, and environmental repercussions were analyzed using Advanced Big Data analytics. The analysis found that IoT, AI, and Blockchain may reduce the industry's environmental effect. Concretely, the analyzed cities had a quantifiable enhancement in their utilization of water, management of trash, and reduction of carbon emissions. Moreover, cities that proactively implemented digital transformation plans demonstrated a direct relationship with indices of environmentally sustainable economic growth. Environmentally sustainable economic growth, according to the study, can only be achieved if the mining industry embraces innovation and digital transformation.
引用
下载
收藏
页数:10
相关论文
共 50 条
  • [21] Role of green technological innovation in the green economic growth in China's natural resource markets
    Li, Mulin
    Hou, Yufei
    Jia, Zhiya
    Li, Jingang
    RESOURCES POLICY, 2023, 86
  • [22] Digital transformation and economic growth Efficiency improvement in the Digital media era: Digitalization of industry or Digital industrialization?
    Zhang, Qi
    Wu, Peipei
    Li, Rongrong
    Chen, Afei
    INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2024, 92 : 667 - 677
  • [23] Green finance, natural resources, and economic growth: Theory analysis and empirical research
    Ouyang, Haiqin
    Guan, Chao
    Yu, Bo
    RESOURCES POLICY, 2023, 83
  • [24] Green mining in China: Fintech's contribution to enhancing innovation performance aimed at sustainable and digital transformation in the mining sector
    Akhtar, Shamim
    Tian, Hongyun
    Alsedrah, Ibrahim Tawfeeq
    Anwar, Ahsan
    Bashir, Shahid
    RESOURCES POLICY, 2024, 92
  • [25] Innovation and economic growth in the mining industry: Evidence from China's listed companies
    Fan, Songmei
    Yan, Jingjing
    Sha, Jinghua
    RESOURCES POLICY, 2017, 54 : 25 - 42
  • [26] Natural resources, education, and green economic development
    Hu, Nan
    Zheng, Bing
    RESOURCES POLICY, 2023, 86
  • [27] SUSTAINABLE DIGITAL TRANSFORMATION: THE NEXUS BETWEEN ICT AND GLOBAL GREEN ECONOMIC GROWTH
    Li, Yiwen
    Li, Xia
    Wang, Xiaojuan
    Feng, Chao
    TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2024, 30 (05) : 1275 - 1305
  • [28] Impact of natural resource mining on sustainable economic development: The role of education and green innovation in China
    Li, Xing
    Ma, Lina
    Ruman, Asif M.
    Iqbal, Najaf
    Strielkowski, Wadim
    GEOSCIENCE FRONTIERS, 2024, 15 (03)
  • [29] INNOVATION CAPABILITY: DIGITAL TRANSFORMATION OF HUMAN RESOURCES AND DIGITAL TALENT IN SMES
    Budiarti, Isniar
    Firmansyah, Deri
    JOURNAL OF EASTERN EUROPEAN AND CENTRAL ASIAN RESEARCH, 2024, 11 (03): : 621 - 637
  • [30] Natural resources, economic growth and geography
    Gonzalez-Val, Rafael
    Pueyo, Fernando
    ECONOMIC MODELLING, 2019, 83 : 150 - 159