{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T17:58:03Z","timestamp":1769018283522,"version":"3.49.0"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T00:00:00Z","timestamp":1755216000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T00:00:00Z","timestamp":1755216000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Academic Research Projects of Beijing Union University","award":["SKZD202311"],"award-info":[{"award-number":["SKZD202311"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Energy Inform"],"DOI":"10.1186\/s42162-025-00570-0","type":"journal-article","created":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T00:13:20Z","timestamp":1755216800000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["From technological empowerment to green performance: empirical evidence on Digitalization-driven energy conservation and emission reduction in logistics enterprises\u00a0\u2014 a case study of SF holding"],"prefix":"10.1186","volume":"8","author":[{"given":"Ying","family":"Liu","sequence":"first","affiliation":[]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,8,15]]},"reference":[{"key":"570_CR1","unstructured":"IPCC (2022) Climate change 2022: mitigation of climate change. Cambridge University Press"},{"issue":"4","key":"570_CR2","doi-asserted-by":"publisher","first-page":"109412","DOI":"10.1016\/j.isci.2024.109412","volume":"27","author":"C Zhou","year":"2024","unstructured":"Zhou C, Xiang X, Zhu B, Wang Z (2024) Mapping carbon reduction: a cross-continental study of alliance strategies. iScience 27(4):109412","journal-title":"iScience"},{"issue":"8","key":"570_CR3","doi-asserted-by":"publisher","first-page":"1209","DOI":"10.1007\/s00376-022-2097-z","volume":"39","author":"Y Wang","year":"2022","unstructured":"Wang Y, Liu Y, Gu B (2022) COP26: progress, challenges, and outlook. Adv Atmos Sci 39(8):1209\u20131216","journal-title":"Adv Atmos Sci"},{"issue":"29","key":"570_CR4","doi-asserted-by":"publisher","first-page":"41600","DOI":"10.1007\/s11356-024-31927-9","volume":"31","author":"P Lou","year":"2024","unstructured":"Lou P, Zhou Z, Zeng Y, Fan C (2024) Vehicle routing problem with time windows and carbon emissions: a case study in logistics distribution. Environ Sci Pollut Res Int 31(29):41600\u201341620","journal-title":"Environ Sci Pollut Res Int"},{"issue":"18","key":"570_CR5","doi-asserted-by":"publisher","first-page":"53778","DOI":"10.1007\/s11356-023-26150-x","volume":"30","author":"M Nazir","year":"2023","unstructured":"Nazir M, Zaman K, Khan S, Nassani AA, Khan HUR, Haffar M (2023) Economic growth and carbon emissions in Pakistan: the effects of China\u2019s logistics industry. Environ Sci Pollut Res Int 30(18):53778\u201353795","journal-title":"Environ Sci Pollut Res Int"},{"key":"570_CR6","unstructured":"IEA (2021) Transport sector CO2 emissions by mode. IEA Reports"},{"issue":"17","key":"570_CR7","doi-asserted-by":"publisher","first-page":"25721","DOI":"10.1007\/s11356-024-32817-w","volume":"31","author":"H Ding","year":"2024","unstructured":"Ding H, Wu X, Guo Y, Liu C (2024) Carbon emissions in the logistics industry: driving factors and decoupling effects. Environ Sci Pollut Res Int 31(17):25721\u201325735","journal-title":"Environ Sci Pollut Res Int"},{"issue":"1","key":"570_CR8","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1007\/s11356-021-15614-7","volume":"29","author":"M Li","year":"2022","unstructured":"Li M, Wang J (2022) Spatial-temporal evolution and influencing factors of total factor productivity in China\u2019s logistics industry under low-carbon constraints. Environ Sci Pollut Res Int 29(1):883\u2013900","journal-title":"Environ Sci Pollut Res Int"},{"issue":"31","key":"570_CR9","doi-asserted-by":"publisher","first-page":"77784","DOI":"10.1007\/s11356-023-27834-0","volume":"30","author":"J Xiao","year":"2023","unstructured":"Xiao J, Zeng P, Ren G, Zhang L (2023) How to drive strategic green innovation behavior? A qualitative comparative analysis (QCA) based on Chinese manufacturing enterprises. Environ Sci Pollut Res Int 30(31):77784\u201377797","journal-title":"Environ Sci Pollut Res Int"},{"key":"570_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jenvman.2024.121221","volume":"360","author":"J Zhang","year":"2024","unstructured":"Zhang J, Liu H, Wang J, Huang Q (2024) Spatial impact of the digital economy on low-carbon logistics efficiency in RCEP countries. J Environ Manage 360:121221","journal-title":"J Environ Manage"},{"issue":"20","key":"570_CR11","doi-asserted-by":"publisher","first-page":"57279","DOI":"10.1007\/s11356-023-26577-2","volume":"30","author":"G Tian","year":"2023","unstructured":"Tian G, Lu W, Zhang X, Zhan M, Dulebenets MA, Aleksandrov A, Fathollahi-Fard AM, Ivanov M (2023) A survey of multi-criteria decision-making techniques for green logistics and low-carbon transportation systems. Environ Sci Pollut Res Int 30(20):57279\u201357301","journal-title":"Environ Sci Pollut Res Int"},{"issue":"19","key":"570_CR12","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph191912846","volume":"19","author":"L Wang","year":"2022","unstructured":"Wang L, Liu S, Xiong W (2022) The impact of digital transformation on corporate environment performance: evidence from China. Int J Environ Res Public Health 19(19):12846","journal-title":"Int J Environ Res Public Health"},{"key":"570_CR13","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.jes.2021.05.031","volume":"116","author":"S Zhao","year":"2022","unstructured":"Zhao S, Zhao D, Song Q (2022) Comparative lifecycle greenhouse gas emissions and their reduction potential for typical petrochemical enterprises in China. J Environ Sci (China) 116:125\u2013138","journal-title":"J Environ Sci (China)"},{"issue":"23","key":"570_CR14","doi-asserted-by":"publisher","DOI":"10.3390\/s24237440","volume":"24","author":"MI Joha","year":"2024","unstructured":"Joha MI, Rahman MM, Nazim MS, Jang YM (2024) A secure IoT environment that integrates AI-driven real-time short-term active and reactive load forecasting with anomaly detection: a real-world application. Sensors 24(23):7440","journal-title":"Sensors"},{"issue":"4","key":"570_CR15","doi-asserted-by":"publisher","DOI":"10.3390\/s21041038","volume":"21","author":"M Elsisi","year":"2021","unstructured":"Elsisi M, Tran MQ, Mahmoud K, Lehtonen M, Darwish MMF (2021) Deep learning-based industry 4.0 and internet of things towards effective energy management for smart buildings. Sensors (Basel) 21(4):1038","journal-title":"Sensors (Basel)"},{"issue":"3","key":"570_CR16","doi-asserted-by":"publisher","DOI":"10.1177\/00368504231188617","volume":"106","author":"Jianqiao X","year":"2023","unstructured":"X Jianqiao (2023) Optimization of scheduling scheme for self-driving vehicles by simulation algorithm. Sci Prog 106(3):368504231188617","journal-title":"Sci Prog"},{"key":"570_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jenvman.2022.115945","volume":"322","author":"V Sharma","year":"2022","unstructured":"Sharma V, Raut RD, Hajiaghaei-Keshteli M, Narkhede BE, Gokhale R, Priyadarshinee P (2022) Mediating effect of industry 4.0 technologies on the supply chain management practices and supply chain performance. J Environ Manage 322:115945","journal-title":"J Environ Manage"},{"issue":"4","key":"570_CR18","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0302133","volume":"19","author":"J He","year":"2024","unstructured":"He J, Fan M, Fan Y (2024) Digital transformation and supply chain efficiency improvement: an empirical study from a-share listed companies in China. PLoS One 19(4):e0302133. https:\/\/doi.org\/10.1371\/journal.pone.0302133","journal-title":"PLoS One"},{"issue":"14","key":"570_CR19","doi-asserted-by":"publisher","first-page":"21811","DOI":"10.1007\/s11356-024-32538-0","volume":"31","author":"L You","year":"2024","unstructured":"You L, Jiang Z, Chen A, Xu W (2024) Energy saving effects of digital technologies from a life-cycle-analytical perspective: evidence from China. Environ Sci Pollut Res Int 31(14):21811\u201321828","journal-title":"Environ Sci Pollut Res Int"},{"key":"570_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2024.173551","volume":"938","author":"C Miao","year":"2024","unstructured":"Miao C, Chen Z, Zhang A (2024) Green technology innovation and carbon emission efficiency: the moderating role of environmental uncertainty. Sci Total Environ 938:173551","journal-title":"Sci Total Environ"},{"issue":"1","key":"570_CR21","doi-asserted-by":"publisher","first-page":"9003","DOI":"10.1038\/s41598-025-92916-7","volume":"15","author":"P Sun","year":"2025","unstructured":"Sun P, He J, Wan J, Guan Y, Liu D, Su X, Li L (2025) Deep reinforcement learning based low energy consumption scheduling approach design for urban electric logistics vehicle networks. Sci Rep 15(1):9003","journal-title":"Sci Rep"},{"issue":"18","key":"570_CR22","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph191811227","volume":"19","author":"X Zhang","year":"2022","unstructured":"Zhang X, Shen M, Luan Y, Cui W, Lin X (2022) Spatial evolutionary characteristics and influencing factors of urban industrial carbon emission in China. Int J Environ Res Public Health 19(18):11227","journal-title":"Int J Environ Res Public Health"},{"issue":"5","key":"570_CR23","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph20053893","volume":"20","author":"C Wang","year":"2023","unstructured":"Wang C, Yan G, Ou J (2023) Does digitization promote green innovation? Evidence from China. Int J Environ Res Public Health 20(5):3893","journal-title":"Int J Environ Res Public Health"},{"issue":"1","key":"570_CR24","doi-asserted-by":"publisher","first-page":"5588","DOI":"10.1038\/s41598-022-08942-2","volume":"12","author":"P Chakraborty","year":"2022","unstructured":"Chakraborty P, Parker R, Hoque T, Cruz J, Du L, Wang S, Bhunia S (2022) Addressing the range anxiety of battery electric vehicles with charging en route. Sci Rep 12(1):5588","journal-title":"Sci Rep"},{"issue":"58","key":"570_CR25","doi-asserted-by":"publisher","first-page":"122663","DOI":"10.1007\/s11356-023-30408-9","volume":"30","author":"M Liu","year":"2023","unstructured":"Liu M, Xu X, Chu H, Huang S, Li W (2023) Research on the pathway of digital technology to drive China\u2019s energy sector to achieve its carbon neutrality goal. Environ Sci Pollut Res Int 30(58):122663\u2013122676","journal-title":"Environ Sci Pollut Res Int"},{"issue":"4","key":"570_CR26","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0283613","volume":"18","author":"L Zhang","year":"2023","unstructured":"Zhang L, Gong T, Tong Y (2023) The impact of digital logistics under the big environment of economy. PLoS One 18(4):e0283613. https:\/\/doi.org\/10.1371\/journal.pone.0283613","journal-title":"PLoS One"},{"issue":"1","key":"570_CR27","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/s40300-023-00243-6","volume":"81","author":"C Salvatore","year":"2023","unstructured":"Salvatore C (2023) Inference with non-probability samples and survey data integration: a science mapping study. Metron 81(1):83\u2013107","journal-title":"Metron"},{"issue":"33","key":"570_CR28","doi-asserted-by":"publisher","first-page":"45522","DOI":"10.1007\/s11356-024-34133-9","volume":"31","author":"F Chen","year":"2024","unstructured":"Chen F, Liu Y, Li R (2024) Low-carbon development path based on carbon emission accounting and carbon emission performance evaluation: a case study of Chinese coal production enterprises. Environ Sci Pollut Res Int 31(33):45522\u201345536","journal-title":"Environ Sci Pollut Res Int"},{"key":"570_CR29","doi-asserted-by":"crossref","unstructured":"Rong B (2022) Dynamic Cause Analysis of Quantitative Investment Using Grey Correlation Analysis. Computational Intelligence and Neuroscience, 2022, 3447851","DOI":"10.1155\/2022\/3447851"},{"key":"570_CR30","unstructured":"Holding SF ESG Report. (2020\u20132023)"},{"key":"570_CR31","unstructured":"Holding SF Annual Report. (2020\u20132023)"},{"key":"570_CR32","doi-asserted-by":"publisher","unstructured":"Huang CY, Hsu CC, Chiou ML, Chen CI (2020) The main factors affecting Taiwan\u2019s economic growth rate via dynamic grey relational analysis. PLoS One 15(10):e0240065. https:\/\/doi.org\/10.1371\/journal.pone.0240065","DOI":"10.1371\/journal.pone.0240065"},{"key":"570_CR33","doi-asserted-by":"publisher","unstructured":"Morea D, Iazzolino G, Giglio C, Bruni ME, Baldissarro G, Farinelli E (2025) The role of digitalization and ESG on financial performance: an empirical analysis on the energy and utilities sectors. PLoS One 20(2):e0314078. https:\/\/doi.org\/10.1371\/journal.pone.0314078","DOI":"10.1371\/journal.pone.0314078"},{"issue":"7","key":"570_CR34","first-page":"130","volume":"37","author":"F Wu","year":"2021","unstructured":"Wu F, Hu H, Lin H et al (2021) Digital transformation of enterprises and capital market performance: empirical evidence from stock liquidity. Manage World 37(7):130\u2013144","journal-title":"Manage World"}],"container-title":["Energy Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s42162-025-00570-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s42162-025-00570-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s42162-025-00570-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T01:51:48Z","timestamp":1757382708000},"score":1,"resource":{"primary":{"URL":"https:\/\/energyinformatics.springeropen.com\/articles\/10.1186\/s42162-025-00570-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,15]]},"references-count":34,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["570"],"URL":"https:\/\/doi.org\/10.1186\/s42162-025-00570-0","relation":{},"ISSN":["2520-8942"],"issn-type":[{"value":"2520-8942","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,15]]},"assertion":[{"value":"14 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 August 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 August 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that there are no conflicts of interest regarding the publication of this paper.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"105"}}