{"title":"乡村振兴和碳中和背景下的农村能源转型:改进基于多标准的决策","authors":"Tie-zhi Li, Pan Du, Xin-ping Wang, Chang Su","doi":"10.1007/s11027-024-10128-2","DOIUrl":null,"url":null,"abstract":"<p>The Chinese government has proposed new standards for the rural energy consumption structure in the context of rural regeneration. In the case where traditional energy still dominates the rural energy consumption structure, it is critical to investigate the key factors influencing rural energy transformation against the backdrop of rural revitalization in order to promote the transition from traditional to clean energy in rural areas. To identify the influential aspects, this paper conducts a literature analysis and an expert evaluation. Second, the decision-making experiment and evaluation laboratory (DEMATEL) technique is improved by studying the 24 influencing elements and their hierarchical relationships using the type-2 interval fuzzy number (IT2TrFN) and the maximum mean-decreasing entropy (MMDE) approach. A novel multi-criteria decision-making (MCDM) model is developed to give a theoretical foundation and recommendations for decision-making in areas such as rural energy policy formulation. The following are the primary conclusions: Energy technology service workers are the most profound factors, with the most driving force and dependence, and have the greatest impact on other factors. Environmental attitudes, perceptions, and societal green expectations are highly dependent and low-driver characteristics that are easily influenced by other factors. Based on this, related recommendations are made to encourage the advancement of rural clean energy as a replacement for traditional energy.</p>","PeriodicalId":54387,"journal":{"name":"Mitigation and Adaptation Strategies for Global Change","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rural energy transition in the context of rural revitalization and carbon neutrality: improved multi-criteria-based decision-making\",\"authors\":\"Tie-zhi Li, Pan Du, Xin-ping Wang, Chang Su\",\"doi\":\"10.1007/s11027-024-10128-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The Chinese government has proposed new standards for the rural energy consumption structure in the context of rural regeneration. In the case where traditional energy still dominates the rural energy consumption structure, it is critical to investigate the key factors influencing rural energy transformation against the backdrop of rural revitalization in order to promote the transition from traditional to clean energy in rural areas. To identify the influential aspects, this paper conducts a literature analysis and an expert evaluation. Second, the decision-making experiment and evaluation laboratory (DEMATEL) technique is improved by studying the 24 influencing elements and their hierarchical relationships using the type-2 interval fuzzy number (IT2TrFN) and the maximum mean-decreasing entropy (MMDE) approach. A novel multi-criteria decision-making (MCDM) model is developed to give a theoretical foundation and recommendations for decision-making in areas such as rural energy policy formulation. The following are the primary conclusions: Energy technology service workers are the most profound factors, with the most driving force and dependence, and have the greatest impact on other factors. Environmental attitudes, perceptions, and societal green expectations are highly dependent and low-driver characteristics that are easily influenced by other factors. Based on this, related recommendations are made to encourage the advancement of rural clean energy as a replacement for traditional energy.</p>\",\"PeriodicalId\":54387,\"journal\":{\"name\":\"Mitigation and Adaptation Strategies for Global Change\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mitigation and Adaptation Strategies for Global Change\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1007/s11027-024-10128-2\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mitigation and Adaptation Strategies for Global Change","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s11027-024-10128-2","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Rural energy transition in the context of rural revitalization and carbon neutrality: improved multi-criteria-based decision-making
The Chinese government has proposed new standards for the rural energy consumption structure in the context of rural regeneration. In the case where traditional energy still dominates the rural energy consumption structure, it is critical to investigate the key factors influencing rural energy transformation against the backdrop of rural revitalization in order to promote the transition from traditional to clean energy in rural areas. To identify the influential aspects, this paper conducts a literature analysis and an expert evaluation. Second, the decision-making experiment and evaluation laboratory (DEMATEL) technique is improved by studying the 24 influencing elements and their hierarchical relationships using the type-2 interval fuzzy number (IT2TrFN) and the maximum mean-decreasing entropy (MMDE) approach. A novel multi-criteria decision-making (MCDM) model is developed to give a theoretical foundation and recommendations for decision-making in areas such as rural energy policy formulation. The following are the primary conclusions: Energy technology service workers are the most profound factors, with the most driving force and dependence, and have the greatest impact on other factors. Environmental attitudes, perceptions, and societal green expectations are highly dependent and low-driver characteristics that are easily influenced by other factors. Based on this, related recommendations are made to encourage the advancement of rural clean energy as a replacement for traditional energy.
期刊介绍:
The Earth''s biosphere is being transformed by various anthropogenic activities. Mitigation and Adaptation Strategies for Global Change addresses a wide range of environment, economic and energy topics and timely issues including global climate change, stratospheric ozone depletion, acid deposition, eutrophication of terrestrial and aquatic ecosystems, species extinction and loss of biological diversity, deforestation and forest degradation, desertification, soil resource degradation, land-use change, sea level rise, destruction of coastal zones, depletion of fresh water and marine fisheries, loss of wetlands and riparian zones and hazardous waste management.
Response options to mitigate these threats or to adapt to changing environs are needed to ensure a sustainable biosphere for all forms of life. To that end, Mitigation and Adaptation Strategies for Global Change provides a forum to encourage the conceptualization, critical examination and debate regarding response options. The aim of this journal is to provide a forum to review, analyze and stimulate the development, testing and implementation of mitigation and adaptation strategies at regional, national and global scales. One of the primary goals of this journal is to contribute to real-time policy analysis and development as national and international policies and agreements are discussed and promulgated.