数字化能源供应链以增强弹性:探索供应链数字化、碳中和和自然资源开采之间的关系

IF 14.2 2区 经济学 Q1 ECONOMICS Energy Economics Pub Date : 2025-02-01 Epub Date: 2025-01-04 DOI:10.1016/j.eneco.2024.108177
Zhenjing Gu , Saeed Mousa , Da Meng , Ahmed M. Elkady , Lin Woon Leong
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引用次数: 0

摘要

在这个快速变化的时代,自然资源开采(NRE)在确保能源弹性未来和促进可持续社会经济发展方面发挥着关键作用。碳中和和供应链数字化已成为全球应对可持续气候的关键战略。本研究探讨了供应链数字化如何促进能源弹性,特别是研究了南亚碳中和与自然资源开采之间的关系。通过面板数据分析(采用随机效应模型和固定效应模型),评估了供应链数字化对能源安全、可持续发展和绿色创新的影响。研究结果表明,GDP的贸易余额每增加1%,NRE平均上升0.06%的国内生产总值(GDP)。此外,研究表明,碳排放每减少1%,可显著提高NRE,平均增加GDP的1.01%,突出了其对经济增长的巨大贡献。此外,该研究使用前馈神经网络(FFNN)根据所选变量预测碳排放量,相对于均方根误差(RMSE),达到了很高的精度,即21%。总之,该研究强调,供应链数字化和碳中和是培养弹性新能源的必要条件。这些见解可以指导决策者将环境成本内部化,促进可持续做法,通过尽量减少污染因素和投资于保护倡议来改善工业生产。通过认识到自然资源、能源弹性及其经济回报的重要性,南亚经济体可以做出明智的决定,推动长期弹性和繁荣。
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Digitizing energy supply chains for enhanced resilience: Exploring the nexus between supply chain digitization, carbon neutrality, and natural resource extraction
In this era of rapid change, natural resource extraction (NRE) plays a pivotal role in securing an energy-resilient future and fostering sustainable socio-economic development. Carbon neutrality and supply chain digitization have emerged as key strategies in the global battle against susutaining climate. This research explores how supply chain digitization contributes to energy resilience, specifically examining the nexus between carbon neutrality and natural resource extraction in South Asia. Through panel data analysis (employing both random and fixed effect models), the study assesses the impact of supply chain digitization on energy security, sustainable development, and green innovation. The findings indicate that for every 1 % increase in the trade balance of GDP, NRE rises by an average of 0.06 % of gross domestic product (GDP). Additionally, the research reveals that a 1 % reduction in carbon emissions leads to a significant boost in NRE, with an average increase of 1.01 % of GDP, highlighting its substantial contribution to economic growth. Moreover, the study forecasts carbon emissions based on the selected variables using a Feed-forward Neural Network (FFNN), achieving high levels of accuracy with respect to Root Mean Square Error (RMSE) i.e. 21 %. In conclusion, the study emphasizes that supply chain digitization and carbon neutrality are integral to fostering resilient NRE. These insights can guide policymakers in internalizing environmental costs, promoting sustainable practices, improving industrial production by minimizing the polluting elements and investing in conservation initiatives. By recognizing the importance of natural resources, energy resilience, and their economic returns, South Asian economies can make informed decisions that drive long-term resilience and prosperity.
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来源期刊
Energy Economics
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.
期刊最新文献
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