How natural resources and technological advancements affect environmental quality: Evidence from load capacity factor in N‐11 nations

IF 4.7 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-03-29 DOI:10.1111/1477-8947.12442
Yaping Guo, Ibrahim Alnafrah, Xinmeng Hou, Reem A. Almenweer, U. Mehmood
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Abstract

The pressing issues of global climate change and environmental degradation necessitate the development of novel sustainable growth models by humanity. The efficacy of growth policy is strongly contingent upon the fundamental principles of productivity, such as efficient resource management. This study contributes to the investigation of the influence of natural resources (NRs) and several indices measuring productive capacity index (CI) on the environment of developing N‐11 countries (Bangladesh, Egypt, Indonesia, Iran, Mexico, Nigeria, the Philippines, South Korea, Pakistan, Turkey, and Vietnam) during 2000–2022. The research employed the cross‐sectional Autoregressive Distributed Lag (CS‐ARDL) model to examine the relationship between the variables. The empirical evidence indicates that there is a positive relationship between CI, technical innovation (TEC), NR, and gross domestic product (GDP) with the load capacity factor (LCF). Evidently, the sub‐indicators of CI present diverse results. The enhancement of productive CI in human capital, information, and communication technology (ICT), structural change, and governance has been found to foster ecological sustainability. Conversely, the domains of transport, private sector development, and energy utilization have been observed to contribute to the reduction of environmental pollution. This study posits that enhancing operational efficiencies and productive CI is associated with improved ecological outcomes.
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自然资源和技术进步如何影响环境质量?N-11 国家负载能力系数的证据
全球气候变化和环境退化问题迫在眉睫,人类必须开发新的可持续增长模式。增长政策的有效性在很大程度上取决于生产力的基本原则,如有效的资源管理。本研究有助于调查 2000-2022 年期间自然资源(NRs)和衡量生产能力指数(CI)的若干指数对 N-11 发展中国家(孟加拉国、埃及、印度尼西亚、伊朗、墨西哥、尼日利亚、菲律宾、韩国、巴基斯坦、土耳其和越南)环境的影响。研究采用了横截面自回归分布滞后(CS-ARDL)模型来考察变量之间的关系。实证结果表明,CI、技术创新(TEC)、NR 和国内生产总值(GDP)与负载能力系数(LCF)之间存在正相关关系。显然,CI 的子指标呈现出不同的结果。在人力资本、信息和通信技术 (ICT)、结构变革和治理方面加强生产性 CI,可促进生态可持续性。相反,运输、私营部门发展和能源利用等领域则有助于减少环境污染。本研究认为,提高运营效率和生产性 CI 与改善生态成果相关。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊介绍: ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/​Abstracted: Web of Science SCIE Scopus CAS INSPEC Portico
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