气候变化领域集成服务门户(CCPortal): A systemic efficiency measurement of resource management and sustainable practices: A network bias-corrected DEA assessment of OECD countries

CCPortal

DOI	10.1016/j.resourpol.2024.104771
	A systemic efficiency measurement of resource management and sustainable practices: A network bias-corrected DEA assessment of OECD countries
	Liu, Yin; Alnafrah, Ibrahim; Zhou, Yaying
发表日期	2024
ISSN	0301-4207
EISSN	1873-7641
起始页码	90
卷号	90
英文摘要	In the face of pressing challenges such as climate change and dwindling biodiversity, the global need for optimizing natural resource management is urgent. To address this, green innovations and digital government play a vital role in efficient resource utilization, aligning with Sustainable Development Goals (SDGs). Our study presents a comprehensive framework for evaluating natural resource management efficiency and its link to achieving SDGs. Using network bias-corrected Data Envelopment Analysis (DEA) and unsupervised machine learning techniques on 30 OECD countries, we found significant disparities in environmental and resource management efficiencies. Importantly, environmental efficiency strongly correlates with resource management efficiency, often surpassing the influence of green innovations. The results also reveal a pattern where major industrial economies like Germany, France, and the UK struggle with low natural resource efficiency. In contrast, smaller economies, particularly in the Nordic and Baltic regions, excel in resource management and employ green innovations and digital governance practices effectively to advance SDGs. This machine learning-driven dichotomy emphasizes the pivotal role of systemic resource management in achieving SDGs and highlights the leadership of smaller economies in sustainability. Our study significantly contributes to the understanding of green innovation systems and their role in enhancing natural resource management efficiency. Furthermore, it equips policymakers with the ability to pinpoint specific systemic shortcomings in natural resource management, facilitating the tailored development of policies to meet precise goals.
英文关键词	Resources management; Green innovations; Digital government; Sustainable development; Renewable energy; Environmental efficiency
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Studies
WOS记录号	WOS:001184191600001
来源期刊	RESOURCES POLICY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/296821
作者单位	Macau University of Science & Technology; Huainan Normal University; Ural Federal University; Pukyong National University
推荐引用方式 GB/T 7714	Liu, Yin,Alnafrah, Ibrahim,Zhou, Yaying. A systemic efficiency measurement of resource management and sustainable practices: A network bias-corrected DEA assessment of OECD countries[J],2024,90.
APA	Liu, Yin,Alnafrah, Ibrahim,&Zhou, Yaying.(2024).A systemic efficiency measurement of resource management and sustainable practices: A network bias-corrected DEA assessment of OECD countries.RESOURCES POLICY,90.
MLA	Liu, Yin,et al."A systemic efficiency measurement of resource management and sustainable practices: A network bias-corrected DEA assessment of OECD countries".RESOURCES POLICY 90(2024).