Han Xue, Meng Cai, Baoliu Liu, Kaisheng Di, Jin Hu
{"title":"通过数字创新实现可持续发展:揭示大数据综合实验区对能源利用效率的影响","authors":"Han Xue, Meng Cai, Baoliu Liu, Kaisheng Di, Jin Hu","doi":"10.1002/sd.3112","DOIUrl":null,"url":null,"abstract":"Efficient energy utilization stands as a linchpin for national energy security and sustainable development, particularly in developing countries. The transformative potential of big data in driving regional economic growth is pivotal for advancing the goals of sustainability and carbon neutrality. This study employs advanced Generalized Difference‐in‐Differences methods to investigate the enduring influence of establishing national Big Data Comprehensive Experimental Areas (BDCEAs) on energy utilization efficiency within the experimental zones from 2008 to 2020. Our findings underscore the significant role of BDCEAs in fostering sustainable energy practices and contributing to the global pursuit of harmonious coexistence between humanity and nature. Through rigorous analysis, we reveal regional variations, emphasizing the substantial impact of big data on energy utilization efficiency in specific areas, while also exploring the underlying mechanisms of industrial structure upgrading, technological innovation, and resource allocation optimization. This research enriches the understanding of factors influencing energy utilization efficiency, providing valuable insights for leveraging the digital economy to promote a greener and more sustainable future.","PeriodicalId":48174,"journal":{"name":"Sustainable Development","volume":null,"pages":null},"PeriodicalIF":9.9000,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sustainable development through digital innovation: Unveiling the impact of big data comprehensive experimental zones on energy utilization efficiency\",\"authors\":\"Han Xue, Meng Cai, Baoliu Liu, Kaisheng Di, Jin Hu\",\"doi\":\"10.1002/sd.3112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Efficient energy utilization stands as a linchpin for national energy security and sustainable development, particularly in developing countries. The transformative potential of big data in driving regional economic growth is pivotal for advancing the goals of sustainability and carbon neutrality. This study employs advanced Generalized Difference‐in‐Differences methods to investigate the enduring influence of establishing national Big Data Comprehensive Experimental Areas (BDCEAs) on energy utilization efficiency within the experimental zones from 2008 to 2020. Our findings underscore the significant role of BDCEAs in fostering sustainable energy practices and contributing to the global pursuit of harmonious coexistence between humanity and nature. Through rigorous analysis, we reveal regional variations, emphasizing the substantial impact of big data on energy utilization efficiency in specific areas, while also exploring the underlying mechanisms of industrial structure upgrading, technological innovation, and resource allocation optimization. This research enriches the understanding of factors influencing energy utilization efficiency, providing valuable insights for leveraging the digital economy to promote a greener and more sustainable future.\",\"PeriodicalId\":48174,\"journal\":{\"name\":\"Sustainable Development\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":9.9000,\"publicationDate\":\"2024-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Development\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1002/sd.3112\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DEVELOPMENT STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Development","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1002/sd.3112","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEVELOPMENT STUDIES","Score":null,"Total":0}
Sustainable development through digital innovation: Unveiling the impact of big data comprehensive experimental zones on energy utilization efficiency
Efficient energy utilization stands as a linchpin for national energy security and sustainable development, particularly in developing countries. The transformative potential of big data in driving regional economic growth is pivotal for advancing the goals of sustainability and carbon neutrality. This study employs advanced Generalized Difference‐in‐Differences methods to investigate the enduring influence of establishing national Big Data Comprehensive Experimental Areas (BDCEAs) on energy utilization efficiency within the experimental zones from 2008 to 2020. Our findings underscore the significant role of BDCEAs in fostering sustainable energy practices and contributing to the global pursuit of harmonious coexistence between humanity and nature. Through rigorous analysis, we reveal regional variations, emphasizing the substantial impact of big data on energy utilization efficiency in specific areas, while also exploring the underlying mechanisms of industrial structure upgrading, technological innovation, and resource allocation optimization. This research enriches the understanding of factors influencing energy utilization efficiency, providing valuable insights for leveraging the digital economy to promote a greener and more sustainable future.
期刊介绍:
Sustainable Development is a publication that takes an interdisciplinary approach to explore and propose strategies for achieving sustainable development. Our aim is to discuss and address the challenges associated with sustainable development and the Sustainable Development Goals. All submissions are subjected to a thorough review process to ensure that our readers receive valuable and original content of the highest caliber.