Do supply chain and digitalization Foster China's advancement in green development? An evidence from wavelet quantile regression and wavelet quantile correlation analysis
{"title":"Do supply chain and digitalization Foster China's advancement in green development? An evidence from wavelet quantile regression and wavelet quantile correlation analysis","authors":"Mohammad Maruf Hasan , Lanrui Li","doi":"10.1016/j.eneco.2024.108099","DOIUrl":null,"url":null,"abstract":"<div><div>Effective environmental technologies are crucial in addressing China's sustainability challenges, especially in green technology, green supply chains, and smart development. This study addresses the research gap in prioritizing green technologies, production or processing of goods, digital assistants, and financial mechanisms through specific policies to accelerate China's green development and strengthen its global environmental leadership. In this context, the study aims to investigate the relationships among supply chain disruptions, digitalization, remittances, research & development (R&D), and GDP on environment-related technologies in the Chinese economy by employing the wavelet quantile regression and wavelet quantile correlation analysis using quarterly data from 1995 to 2021. The results show a strong relationship among supply chain, digitalization, remittances, and R&D on environmental technology in the short term; however, these relationships tend to weaken over time. The correlation with GDP is relatively weak in the short term and strengthens only under specific long-term conditions. These findings emphasize the significance of examining both temporal and distributional aspects when assessing the influence of different factors on environmental technology. Study findings offer valuable insights for policymakers and stakeholders.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108099"},"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/S0140988324008089","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
Effective environmental technologies are crucial in addressing China's sustainability challenges, especially in green technology, green supply chains, and smart development. This study addresses the research gap in prioritizing green technologies, production or processing of goods, digital assistants, and financial mechanisms through specific policies to accelerate China's green development and strengthen its global environmental leadership. In this context, the study aims to investigate the relationships among supply chain disruptions, digitalization, remittances, research & development (R&D), and GDP on environment-related technologies in the Chinese economy by employing the wavelet quantile regression and wavelet quantile correlation analysis using quarterly data from 1995 to 2021. The results show a strong relationship among supply chain, digitalization, remittances, and R&D on environmental technology in the short term; however, these relationships tend to weaken over time. The correlation with GDP is relatively weak in the short term and strengthens only under specific long-term conditions. These findings emphasize the significance of examining both temporal and distributional aspects when assessing the influence of different factors on environmental technology. Study findings offer valuable insights for policymakers and stakeholders.
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.