Impact of supply chain digitalization, business enterprise R&D expenditure and government budget allocations for R&D: A roadmap towards carbon neutrality

IF 13.6 2区经济学 Q1 ECONOMICS

Energy Economics Pub Date : 2024-11-20 DOI:10.1016/j.eneco.2024.108057

Zhouzhi Li, Jiaguo Liu

{"title":"Impact of supply chain digitalization, business enterprise R&D expenditure and government budget allocations for R&D: A roadmap towards carbon neutrality","authors":"Zhouzhi Li, Jiaguo Liu","doi":"10.1016/j.eneco.2024.108057","DOIUrl":null,"url":null,"abstract":"<div><div>Reliance only on economic growth fueled by fossil fuels may become unsustainable, where the negative ecological consequences of this growth path are rapidly impacting the ecosystem. To address these challenges, enhancing supply chain digitalization, increasing business enterprise R&D expenditure, and boosting government budget allocations for R&D are essential. Additionally, improving fossil fuel energy efficiency can play a critical role in reducing the environmental impact while transitioning to a more sustainable economic model. Hence, to solve this policy issue, this study empirically analyzed the drivers of CO<sub>2</sub> emissions (CEM) between 2000Q<sub>1</sub> and 2022Q<sub>4</sub>. By using time-frequency estimators, such as wavelet quantile-on-quantile regression (WQQR) and bootstrap Fourier Granger causality (BFQC), the research produces a variety of results that may be used to shape a policy framework focused on Sustainable Development Goals (SDGs). The results from BFQC show that business enterprise R&D expenditure, government budget allocations for R&D, fossil fuel energy efficiency, and oil Price Uncertainty lessen CEM while supply chain digitalization increases CEM. The bootstrap Fourier Granger causality also disclosed negative causality from business enterprise R&D expenditure government budget allocations for R&D, fossil fuel energy efficiency, and oil Price Uncertainty to CEM. In addition, supply chain digitalization has a positive predictive power over CEM. This study contributes to the existing literature by proposing an exhaustive and flexible policy structure designed to promote the advancement of SDGs 7, 8, and 13.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"141 ","pages":"Article 108057"},"PeriodicalIF":13.6000,"publicationDate":"2024-11-20","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/S0140988324007667","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

Reliance only on economic growth fueled by fossil fuels may become unsustainable, where the negative ecological consequences of this growth path are rapidly impacting the ecosystem. To address these challenges, enhancing supply chain digitalization, increasing business enterprise R&D expenditure, and boosting government budget allocations for R&D are essential. Additionally, improving fossil fuel energy efficiency can play a critical role in reducing the environmental impact while transitioning to a more sustainable economic model. Hence, to solve this policy issue, this study empirically analyzed the drivers of CO₂ emissions (CEM) between 2000Q₁ and 2022Q₄. By using time-frequency estimators, such as wavelet quantile-on-quantile regression (WQQR) and bootstrap Fourier Granger causality (BFQC), the research produces a variety of results that may be used to shape a policy framework focused on Sustainable Development Goals (SDGs). The results from BFQC show that business enterprise R&D expenditure, government budget allocations for R&D, fossil fuel energy efficiency, and oil Price Uncertainty lessen CEM while supply chain digitalization increases CEM. The bootstrap Fourier Granger causality also disclosed negative causality from business enterprise R&D expenditure government budget allocations for R&D, fossil fuel energy efficiency, and oil Price Uncertainty to CEM. In addition, supply chain digitalization has a positive predictive power over CEM. This study contributes to the existing literature by proposing an exhaustive and flexible policy structure designed to promote the advancement of SDGs 7, 8, and 13.

Abstract Image

查看原文本刊更多论文

供应链数字化、企业研发支出和政府研发预算分配的影响：走向碳中和的路线图

仅仅依赖化石燃料推动的经济增长可能是不可持续的，这种增长方式的负面生态后果正在迅速影响生态系统。为了应对这些挑战，加强供应链数字化、增加企业研发支出和提高政府研发预算拨款至关重要。此外，在向更可持续的经济模式过渡的同时，提高化石燃料的能源效率可以在减少环境影响方面发挥关键作用。因此，为了解决这一政策问题，本研究实证分析了2000年第一季度至2022Q4年间二氧化碳排放（CEM）的驱动因素。通过使用时频估计器，如小波分位数对分位数回归（WQQR）和bootstrap傅立叶格兰杰因果关系（BFQC），该研究产生了各种结果，可用于制定以可持续发展目标（sdg）为重点的政策框架。BFQC的研究结果表明，企业研发支出、政府研发预算拨款、化石燃料能源效率和油价不确定性降低了CEM，而供应链数字化增加了CEM。自举傅立叶格兰杰因果关系还揭示了企业研发支出、政府研发预算拨款、化石燃料能源效率和油价不确定性对能源管理的负因果关系。此外，供应链数字化对CEM具有正向的预测能力。本研究对现有文献做出了贡献，提出了一个详尽而灵活的政策结构，旨在促进可持续发展目标7、8和13的推进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Energy Economics ECONOMICS-

CiteScore

18.60

自引率

12.50%

发文量

524

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.