创新驱动型可持续物流业的效率分析

IF 6.2 2区 经济学 Q1 ECONOMICS Socio-economic Planning Sciences Pub Date : 2024-08-31 DOI:10.1016/j.seps.2024.102050
Mustapha D. Ibrahim , Miguel Alves Pereira , Paulo Caldas
{"title":"创新驱动型可持续物流业的效率分析","authors":"Mustapha D. Ibrahim ,&nbsp;Miguel Alves Pereira ,&nbsp;Paulo Caldas","doi":"10.1016/j.seps.2024.102050","DOIUrl":null,"url":null,"abstract":"<div><p>The logistics industry is at the heart of socio-economic development. Disruption in the logistics and supply chain industry grounded many sectors to a halt at the height of COVID-19 with economic and environmental implications. This study examines the efficiency and interconnections among innovation, energy, infrastructure, and logistics performance as the logistics industry strives to attain a green supply chain while maintaining economic growth and environmental sustainability. To capture these relationships, a network data envelopment analysis model is designed for efficiency analysis. 36 % of the evaluated countries had below-average efficiency. Results also indicate innovation and energy sustainability as drivers of efficiency and sustainability in the logistics industry. This implies the need for innovation in logistics energy infrastructure by decarbonizing the logistics industry. Regional and national partnerships in the technological development of green energy to power the logistics industry are recommended.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102050"},"PeriodicalIF":6.2000,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0038012124002490/pdfft?md5=38afeae01f70b43ec69250762cd9ffc3&pid=1-s2.0-S0038012124002490-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Efficiency analysis of the innovation-driven sustainable logistics industry\",\"authors\":\"Mustapha D. Ibrahim ,&nbsp;Miguel Alves Pereira ,&nbsp;Paulo Caldas\",\"doi\":\"10.1016/j.seps.2024.102050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The logistics industry is at the heart of socio-economic development. Disruption in the logistics and supply chain industry grounded many sectors to a halt at the height of COVID-19 with economic and environmental implications. This study examines the efficiency and interconnections among innovation, energy, infrastructure, and logistics performance as the logistics industry strives to attain a green supply chain while maintaining economic growth and environmental sustainability. To capture these relationships, a network data envelopment analysis model is designed for efficiency analysis. 36 % of the evaluated countries had below-average efficiency. Results also indicate innovation and energy sustainability as drivers of efficiency and sustainability in the logistics industry. This implies the need for innovation in logistics energy infrastructure by decarbonizing the logistics industry. Regional and national partnerships in the technological development of green energy to power the logistics industry are recommended.</p></div>\",\"PeriodicalId\":22033,\"journal\":{\"name\":\"Socio-economic Planning Sciences\",\"volume\":\"96 \",\"pages\":\"Article 102050\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2024-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0038012124002490/pdfft?md5=38afeae01f70b43ec69250762cd9ffc3&pid=1-s2.0-S0038012124002490-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Socio-economic Planning Sciences\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0038012124002490\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012124002490","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

摘要

物流业是社会经济发展的核心。在 COVID-19 高峰期,物流和供应链行业的混乱导致许多行业停滞不前,对经济和环境造成了影响。本研究探讨了创新、能源、基础设施和物流绩效之间的效率和相互联系,因为物流业正努力实现绿色供应链,同时保持经济增长和环境的可持续发展。为了捕捉这些关系,设计了一个网络数据包络分析模型来进行效率分析。36% 的受评估国家的效率低于平均水平。结果还表明,创新和能源可持续性是物流业效率和可持续性的驱动力。这意味着需要通过物流业的去碳化来实现物流能源基础设施的创新。建议在绿色能源技术发展方面建立区域和国家伙伴关系,为物流业提供动力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Efficiency analysis of the innovation-driven sustainable logistics industry

The logistics industry is at the heart of socio-economic development. Disruption in the logistics and supply chain industry grounded many sectors to a halt at the height of COVID-19 with economic and environmental implications. This study examines the efficiency and interconnections among innovation, energy, infrastructure, and logistics performance as the logistics industry strives to attain a green supply chain while maintaining economic growth and environmental sustainability. To capture these relationships, a network data envelopment analysis model is designed for efficiency analysis. 36 % of the evaluated countries had below-average efficiency. Results also indicate innovation and energy sustainability as drivers of efficiency and sustainability in the logistics industry. This implies the need for innovation in logistics energy infrastructure by decarbonizing the logistics industry. Regional and national partnerships in the technological development of green energy to power the logistics industry are recommended.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Socio-economic Planning Sciences
Socio-economic Planning Sciences OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
9.40
自引率
13.10%
发文量
294
审稿时长
58 days
期刊介绍: Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry. Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution. Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.
期刊最新文献
Low-carbon route optimization model for multimodal freight transport considering value and time attributes Measurement and comparison of different dimensions of renewable energy policy implementation in the agricultural sector A Kansei engineering-based decision-making method for offline medical service quality evaluation with multidimensional attributes Investigating water sustainability towards indicators: An empirical illustration using country-level data What about QR codes on wine bottles? A statistical analysis of technology's influence on purchase decisions among Italian wine consumers
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1