资源丰富经济体中可再生能源、技术创新与矿产资源需求的动态联系

Muhammad Faheem, Hammad Ali, Fatima Farooq, Javaid Hussain
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引用次数: 2

摘要

本文研究了资源丰富经济体(俄罗斯、美国、巴西、加拿大、伊朗、沙特阿拉伯、澳大利亚、委内瑞拉、中国和伊拉克)中可再生能源、技术创新、经济增长之间的关系,以及可再生能源和技术创新与矿产资源需求之间的相互作用。研究采用动态共相关效应(DCCE)方法,研究时间为1995 - 2021年。结果表明,RENR、TINO、TR和EG的系数均具有显著的统计学意义,表明它们对矿产资源需求具有显著的正向长期影响。长期来看,RENR、TINO、TR和EG的增加与结果变量的积极变化有关。然而,从长期来看,INTERM系数对矿产资源需求具有显著的负向影响。这些发现为模型变量之间的动态相互关系提供了有价值的见解。政策制定者应将重点放在促进和加强RENR、TINO、TR和EG的政策上,因为从长远来看,它们会对结果变量产生积极影响。此外,决策者应谨慎注意中期汇率变化对长期矿物资源需求的潜在负面影响,并仔细评估影响这一变量的政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic linkage of Renewable Energy, Technology Innovation and Mineral Resource Demand in Resource Rich Economies
This investigates the relationship of renewable energy, technology innovation, economic growth, and the interaction between renewable energy and technology innovation with mineral resource demand in resource-rich economies (Russia, The USA, Brazil, Canada, Iran, Saudi Arabia, Australia, Venezuela, China, & Iraq). The research employs the dynamic common correlated effect (DCCE) method for the period from 1995 to 2021. The findings show that coefficients for RENR, TINO, TR, and EG are all statistically significant, indicating their significant positive long-term impact on the mineral resource demand. Increases in RENR, TINO, TR, and EG are associated with positive changes in the outcome variable over the long term. However, the coefficient of INTERM has a significant negative influence on the mineral resource demand in the long run. The findings provide valuable insights into the dynamic interrelationships between the model's variables. Policymakers should focus on policies that promote and enhance RENR, TINO, TR, and EG, as they positively influence the outcome variable in the long run. Additionally, policymakers should be cautious of the potential negative effects of changes in INTERM on the mineral resource demand over the long term and carefully assess policies affecting this variable.  
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