{"title":"Navigating renewable technological innovations and green supply chain management: Crafting a novel framework for boosting ecological quality in China","authors":"Xiaoxi Liu , Yunqiu Zhan , Dingwen Si , Zhen Wang","doi":"10.1016/j.eneco.2025.108178","DOIUrl":null,"url":null,"abstract":"<div><div>Green supply chain management and renewable technological innovations are integral to sustainable development goal (SDG) 9. Additionally, it serves as the basis for generating eco-friendly energy, indirectly contributing to the achievement of SDG 9. The shift from fossil fuels to green energy sources is crucial for sustainable development and promoting an eco-friendly setting. Therefore, this study examines the major driving forces of ecological quality (proxied by load capacity factor) between 1990Q1 and 2022Q4. Other factors, including natural gas consumption and energy prices, are also studied. The recently proposed quantile-based KRLS and Granger causality are utilized to solve the non-linear and non-normal distribution of the series. The findings of QQKRLS reveal that renewable technological innovations increase load capacity factor (LCF) across all quantiles, thus improving ecological quality. On the other hand, across all quantiles, natural gas consumption, energy prices, economic growth, urbanization, and green supply chain management lessen LCF, thus decreasing ecological quality. The QQGC results show that all the regressors (renewable technological innovations, natural gas consumption, energy prices, economic growth, and green supply chain management) can significantly predict LCF across all quantiles. The study formulates policies in line with these findings.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108178"},"PeriodicalIF":13.6000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140988325000015","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Green supply chain management and renewable technological innovations are integral to sustainable development goal (SDG) 9. Additionally, it serves as the basis for generating eco-friendly energy, indirectly contributing to the achievement of SDG 9. The shift from fossil fuels to green energy sources is crucial for sustainable development and promoting an eco-friendly setting. Therefore, this study examines the major driving forces of ecological quality (proxied by load capacity factor) between 1990Q1 and 2022Q4. Other factors, including natural gas consumption and energy prices, are also studied. The recently proposed quantile-based KRLS and Granger causality are utilized to solve the non-linear and non-normal distribution of the series. The findings of QQKRLS reveal that renewable technological innovations increase load capacity factor (LCF) across all quantiles, thus improving ecological quality. On the other hand, across all quantiles, natural gas consumption, energy prices, economic growth, urbanization, and green supply chain management lessen LCF, thus decreasing ecological quality. The QQGC results show that all the regressors (renewable technological innovations, natural gas consumption, energy prices, economic growth, and green supply chain management) can significantly predict LCF across all quantiles. The study formulates policies in line with these findings.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.