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评估影响可再生能源技术采用的绿色创新驱动因素及解决方案。

Assessing the drivers and solutions of green innovation influencing the adoption of renewable energy technologies.

作者信息

Solangi Yasir Ahmed, Alyamani Rakan, Magazzino Cosimo

机构信息

Renewable Energy Lab, College of Engineering, Prince Sultan University, Riyadh, 11586, Saudi Arabia.

Department of Political Science, Roma Tre University, Rome, Italy.

出版信息

Heliyon. 2024 Apr 24;10(9):e30158. doi: 10.1016/j.heliyon.2024.e30158. eCollection 2024 May 15.

DOI:10.1016/j.heliyon.2024.e30158
PMID:38707384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11066409/
Abstract

The degradation of the environment in China is accelerating along with economic expansion. Adoption of renewable energy technologies (RETs) is crucial for reducing the adverse impacts of economic growth on the environment and fostering sustainable development. This study attempts to identify the green innovation drivers and sub-drivers that affect the adoption of RETs in China and provide solutions for boosting their implementation. The study prioritized the drivers, sub-drivers, and strategies of green innovation by combining the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. In the study, the triple bottom line (TBL) approach has been used to determine the economic, societal, and environmental driving forces. The study also suggests strategies for encouraging the use of RETs. The results of the AHP method revealed that economics is the most crucial driver, with a weight of 0.376, followed by environmental (0.332), and social (0.291) drivers. The findings of the SAW method indicated that government green innovation initiatives, consumer initiatives, and industry initiatives are the most significant strategies for deploying RETs in China. This study has important theoretical and practical ramifications for encouraging China to adopt RETs. The suggested approaches can help researchers, business professionals, and policymakers promote sustainable development in China.

摘要

随着经济扩张,中国的环境退化正在加速。采用可再生能源技术(RETs)对于减少经济增长对环境的不利影响以及促进可持续发展至关重要。本研究试图确定影响中国可再生能源技术采用的绿色创新驱动因素和子驱动因素,并为推动其实施提供解决方案。该研究通过结合层次分析法(AHP)和简单加权法(SAW)对绿色创新的驱动因素、子驱动因素和策略进行了优先排序。在研究中,采用了三重底线(TBL)方法来确定经济、社会和环境驱动力。该研究还提出了鼓励使用可再生能源技术的策略。层次分析法的结果显示,经济是最关键的驱动因素,权重为0.376,其次是环境(0.332)和社会(0.291)驱动因素。简单加权法的结果表明,政府绿色创新举措、消费者举措和行业举措是中国部署可再生能源技术最重要的策略。本研究对于鼓励中国采用可再生能源技术具有重要的理论和实践意义。所建议的方法可以帮助研究人员、商业专业人士和政策制定者在中国促进可持续发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11066409/7ff212a5a92b/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11066409/85c2113e2d2b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11066409/48167b834823/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11066409/93c06f3d3c4d/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11066409/78e16a942cca/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11066409/7ff212a5a92b/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11066409/85c2113e2d2b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11066409/48167b834823/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11066409/93c06f3d3c4d/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11066409/78e16a942cca/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800c/11066409/7ff212a5a92b/gr5.jpg

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