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Thriving in complexity: Navigating economic recovery with a systems approach that centers natural resource efficiency

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  • Wu, Jian
  • Lu, Yiwen
  • Zhu, Hongyi

Abstract

This study proposes a systems approach based on natural resource efficiency to address the complex problem of navigating complexity in the dynamic environment of economic recovery. The ARDL (autoregressive distributed lag and PMG(panel mean group) model examine the complex web of factors propelling the economic system toward resilience from 1995–to 2022. Persuasive statistical findings from the China investigation illustrate the intricate nature of the problem and its long-term impact on green economic recovery. The present study provides crucial insights into the intricate recovery dynamics as the significant lag durations are revealed and complex relationships are uncovered. These results highlight the necessity of a holistic systems approach to navigate this complexity successfully. The current study's policy objective is to persuade political decision-makers and provide them with guidelines supporting natural resource efficiency, which is essential to a robust and sustainable recovery.

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  • Wu, Jian & Lu, Yiwen & Zhu, Hongyi, 2024. "Thriving in complexity: Navigating economic recovery with a systems approach that centers natural resource efficiency," Resources Policy, Elsevier, vol. 91(C).
    • Handle: RePEc:eee:jrpoli:v:91:y:2024:i:c:s0301420724001867
    DOI: 10.1016/j.resourpol.2024.104819
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