{"title":"加速棕色地区的可持续性转型：释放速度因子","authors":"Stefano Basilico , Nils Grashof","doi":"10.1016/j.eist.2024.100840","DOIUrl":null,"url":null,"abstract":"<div><p>Green innovations aim to improve and reduce the environmental impact of economic activities. Thus far, research focus on the positive trajectories of green transition. Continuing in this direction we focus on brown regions (i.e. specialized in fossil-fuel technologies) and the challenges that they face to become sustainable. Taking as example German Labour Market Regions we identify brown regions and measure their transition using an innovative approach based on Social Network Analysis and Knowledge Spaces. We find that the technological relatedness to green technologies, having a high life satisfaction in the region and the presence of the green party in the local government facilitate the transition. However, strong economic structures based on brown activities do not generally increase the transition speed. Our findings imply that technological and socio-economic characteristics influence the speed of transition, a dimension not yet accounted for in the sustainability transition literature.</p></div>","PeriodicalId":54294,"journal":{"name":"Environmental Innovation and Societal Transitions","volume":null,"pages":null},"PeriodicalIF":5.7000,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2210422424000315/pdfft?md5=18cc56c32790886a95d3d6c350b99ccc&pid=1-s2.0-S2210422424000315-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Accelerating the sustainability transition of brown regions: Unlocking the speed factor\",\"authors\":\"Stefano Basilico , Nils Grashof\",\"doi\":\"10.1016/j.eist.2024.100840\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Green innovations aim to improve and reduce the environmental impact of economic activities. Thus far, research focus on the positive trajectories of green transition. Continuing in this direction we focus on brown regions (i.e. specialized in fossil-fuel technologies) and the challenges that they face to become sustainable. Taking as example German Labour Market Regions we identify brown regions and measure their transition using an innovative approach based on Social Network Analysis and Knowledge Spaces. We find that the technological relatedness to green technologies, having a high life satisfaction in the region and the presence of the green party in the local government facilitate the transition. However, strong economic structures based on brown activities do not generally increase the transition speed. Our findings imply that technological and socio-economic characteristics influence the speed of transition, a dimension not yet accounted for in the sustainability transition literature.</p></div>\",\"PeriodicalId\":54294,\"journal\":{\"name\":\"Environmental Innovation and Societal Transitions\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2024-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2210422424000315/pdfft?md5=18cc56c32790886a95d3d6c350b99ccc&pid=1-s2.0-S2210422424000315-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Innovation and Societal Transitions\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210422424000315\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Innovation and Societal Transitions","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210422424000315","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Accelerating the sustainability transition of brown regions: Unlocking the speed factor
Green innovations aim to improve and reduce the environmental impact of economic activities. Thus far, research focus on the positive trajectories of green transition. Continuing in this direction we focus on brown regions (i.e. specialized in fossil-fuel technologies) and the challenges that they face to become sustainable. Taking as example German Labour Market Regions we identify brown regions and measure their transition using an innovative approach based on Social Network Analysis and Knowledge Spaces. We find that the technological relatedness to green technologies, having a high life satisfaction in the region and the presence of the green party in the local government facilitate the transition. However, strong economic structures based on brown activities do not generally increase the transition speed. Our findings imply that technological and socio-economic characteristics influence the speed of transition, a dimension not yet accounted for in the sustainability transition literature.
期刊介绍：
Environmental Innovation and Societal Transitions serves as a platform for reporting studies on innovations and socio-economic transitions aimed at fostering an environmentally sustainable economy, thereby addressing structural resource scarcity and environmental challenges, particularly those associated with fossil energy use and climate change. The journal focuses on various forms of innovation, including technological, organizational, economic, institutional, and political, as well as economy-wide and sectoral changes in areas such as energy, transport, agriculture, and water management. It endeavors to tackle complex questions concerning social, economic, behavioral-psychological, and political barriers and opportunities, along with their intricate interactions. With a multidisciplinary approach and methodological openness, the journal welcomes contributions from a wide array of disciplines within the social, environmental, and innovation sciences.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
