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Does digital technology advancement promote natural resource utilization efficiency?

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  • Shi, Guanqing
  • Li, Qiyuan
  • Wei, Yu
  • Ali, Madad
  • Lv, Xinyu

Abstract

While China has experienced an extended period of remarkable economic growth, certain industries have faced challenges such as high pollution, energy consumption, and emissions. To address these issues, China has set strategic goals for promoting harmonious coexistence between humans and nature in the new era. As a result, enhancing the efficiency of natural resource utilization has become crucial for achieving sustainable development. In line with this objective, this paper investigates the role of digital technology advancement as a pathway to improve the efficiency of e-government and natural resource utilization. This paper employs the Slacks-Based Measure (SBM) model to calculate the efficiency of natural resource utilization in 276 cities from 2010 to 2020. Utilizing Broadband China's pilot policy, the study employs differences-in-differences and propensity score matching to investigate the impact and mechanism of digital technology progress on natural resource utilization efficiency. The results indicate that the progress in digital technology significantly promotes the efficiency of natural resource utilization, a conclusion that holds even after a series of robustness tests. Mechanism analysis suggests that the progress in digital technology primarily influences resource efficiency by upgrading industrial structures and innovating green technologies. Heterogeneity analysis reveals that the positive impact of digital technology progress on natural resource utilization efficiency is more pronounced in cities with lower political hierarchies, larger population sizes, non-resource-based economies, and those not classified as old industrial bases. This paper expands the research scope of natural resource utilization efficiency and provides specific policy recommendations.

Suggested Citation

  • Shi, Guanqing & Li, Qiyuan & Wei, Yu & Ali, Madad & Lv, Xinyu, 2024. "Does digital technology advancement promote natural resource utilization efficiency?," Resources Policy, Elsevier, vol. 94(C).
    • Handle: RePEc:eee:jrpoli:v:94:y:2024:i:c:s0301420724004550
    DOI: 10.1016/j.resourpol.2024.105088
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    References listed on IDEAS

    as
    1. Shuming Ren & Lianqing Li & Yueqi Han & Yu Hao & Haitao Wu, 2022. "The emerging driving force of inclusive green growth: Does digital economy agglomeration work?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1656-1678, May.
    2. Cai, Xiqian & Lu, Yi & Wu, Mingqin & Yu, Linhui, 2016. "Does environmental regulation drive away inbound foreign direct investment? Evidence from a quasi-natural experiment in China," Journal of Development Economics, Elsevier, vol. 123(C), pages 73-85.
    3. Fareed, Zeeshan & Abbas, Shujaat & Madureira, Livia & Wang, Zhenkun, 2022. "Green stocks, crypto asset, crude oil and COVID19 pandemic: Application of rolling window multiple correlation," Resources Policy, Elsevier, vol. 79(C).
    4. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    5. Amore, Mario Daniele & Bennedsen, Morten, 2016. "Corporate governance and green innovation," Journal of Environmental Economics and Management, Elsevier, vol. 75(C), pages 54-72.
    6. Sa Xu & Cunyi Yang & Zhehao Huang & Pierre Failler, 2022. "Interaction between Digital Economy and Environmental Pollution: New Evidence from a Spatial Perspective," IJERPH, MDPI, vol. 19(9), pages 1-23, April.
    7. Fareed, Zeeshan & Rehman, Mubeen Abdur & Adebayo, Tomiwa Sunday & Wang, Yihan & Ahmad, Munir & Shahzad, Farrukh, 2022. "Financial inclusion and the environmental deterioration in Eurozone: The moderating role of innovation activity," Technology in Society, Elsevier, vol. 69(C).
    8. Hasan, Mohammad Maruf & Nan, Su & Waris, Umra, 2024. "Assessing the dynamics among oil consumption, ecological footprint, and renewable energy: Role of institutional quality in major oil-consuming countries," Resources Policy, Elsevier, vol. 90(C).
    9. Nambisan, Satish & Wright, Mike & Feldman, Maryann, 2019. "The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    10. Liu, Wen & Xu, Jiaqi & She, Shengxiang, 2023. "Green economic development by increasing efficiency of natural resource consumption," Resources Policy, Elsevier, vol. 85(PB).
    11. Jia, Zhenzhen & Tiwari, Sunil & Zhou, Jianhua & Farooq, Muhammad Umar & Fareed, Zeeshan, 2023. "Asymmetric nexus between Bitcoin, gold resources and stock market returns: Novel findings from quantile estimates," Resources Policy, Elsevier, vol. 81(C).
    12. Shahbaz, Muhammad & Wang, Jianda & Dong, Kangyin & Zhao, Jun, 2022. "The impact of digital economy on energy transition across the globe: The mediating role of government governance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    13. Feng, Yanchao & Hu, Jin & Afshan, Sahar & Irfan, Muhammad & Hu, Mingjun & Abbas, Shujaat, 2023. "Bridging resource disparities for sustainable development: A comparative analysis of resource-rich and resource-scarce countries," Resources Policy, Elsevier, vol. 85(PA).
    14. Guo, Bingnan & Wang, Yu & Zhang, Hao & Liang, Chunyan & Feng, Yu & Hu, Feng, 2023. "Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities," Economic Modelling, Elsevier, vol. 120(C).
    15. Chen, Ke & Li, Qiyuan & Shoaib, Muhammad & Ameer, Waqar & Jiang, Tao, 2024. "Does improved digital governance in government promote natural resource management? Quasi-natural experiments based on smart city pilots," Resources Policy, Elsevier, vol. 90(C).
    16. Zhao, Xing & Guo, Yifan & Feng, Tianchu, 2023. "Towards green recovery: Natural resources utilization efficiency under the impact of environmental information disclosure," Resources Policy, Elsevier, vol. 83(C).
    17. Zhao, Linhai & Rasoulinezhad, Ehsan, 2023. "Role of natural resources utilization efficiency in achieving green economic recovery: Evidence from BRICS countries," Resources Policy, Elsevier, vol. 80(C).
    18. Li, Bo & Han, Yukai & Wang, Chensheng & Sun, Wei, 2022. "Did civilized city policy improve energy efficiency of resource-based cities? Prefecture-level evidence from China," Energy Policy, Elsevier, vol. 167(C).
    19. Xu, Le & Fan, Meiting & Yang, Lili & Shao, Shuai, 2021. "Heterogeneous green innovations and carbon emission performance: Evidence at China's city level," Energy Economics, Elsevier, vol. 99(C).
    20. Du, Shanzhong & Cao, June, 2023. "Non-family shareholder governance and green innovation of family firms: A socio-emotional wealth theory perspective," International Review of Financial Analysis, Elsevier, vol. 90(C).
    21. Zhang, Wei & Wang, Yaru & Fan, Fengchun, 2023. "How does coordinated development of two-way foreign direct investment affect natural resources Utilization?——Spatial analysis based on China's coal resource utilization efficiency," Resources Policy, Elsevier, vol. 85(PA).
    22. Gyamfi, Bright Akwasi & Agozie, Divine Q. & Bekun, Festus Victor, 2022. "Can technological innovation, foreign direct investment and natural resources ease some burden for the BRICS economies within current industrial era?," Technology in Society, Elsevier, vol. 70(C).
    23. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    24. Zhou, Fengxiu & Wen, Huwei & Lee, Chien-Chiang, 2022. "Broadband infrastructure and export growth," Telecommunications Policy, Elsevier, vol. 46(5).
    25. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    26. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    27. Chen, Jiabin & Wen, Shaobo & Liu, Yuchen, 2022. "Research on the efficiency of the mining industry in China from the perspective of time and space," Resources Policy, Elsevier, vol. 75(C).
    28. Feng, Suling & Zhang, Rong & Li, Guoxiang, 2022. "Environmental decentralization, digital finance and green technology innovation," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 70-83.
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