{"title":"基于复杂网络博弈模型的中国航空产业集群绿色技术扩散机制","authors":"Sen Zheng , Jie Zhang , Lirong Jian","doi":"10.1016/j.energy.2024.133634","DOIUrl":null,"url":null,"abstract":"<div><div>The aviation industry cluster's diverse strategic choices of firms significantly influence the green technology diffusion. To examine how external factors and intra-cluster associative structures influence green technology diffusion, this paper constructs an evolutionary game model of green technology networks based on small-world networks, integrating governmental regulation and public oversight perspectives. Through simulations within the real-world aviation context, we analyze the dynamic characteristics of green technology diffusion. Furthermore, we investigate the driving effects of governmental and public initiatives in facilitating green transformation of aviation manufacturing firms. The empirical results reveal several critical insights: (1) A government-mandated minimum threshold for environmental subsidies is crucial to propel the green technology diffusion. In scenarios where environmental regulation penalties are inadequately low, speculative behaviors among firms occur, hindering the diffusion process. (2) Amplifying public engagement significantly bolsters the rate of green technology diffusion and augments the average returns for firms. The public's tolerance threshold for environmental pollution exhibits a high sensitivity to the success of green technology diffusion. (3) We discern variances in green technology diffusion across different network types. While green technology successfully permeates scale-free networks with diverse densities, its diffusion is notably impeded in small-world networks with lower densities. The associative structures and hierarchical distribution of firms within clusters drive varying outcomes in green technology diffusion.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133634"},"PeriodicalIF":9.0000,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Green technology diffusion mechanism in China's aviation industry cluster based on complex network game model\",\"authors\":\"Sen Zheng , Jie Zhang , Lirong Jian\",\"doi\":\"10.1016/j.energy.2024.133634\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The aviation industry cluster's diverse strategic choices of firms significantly influence the green technology diffusion. To examine how external factors and intra-cluster associative structures influence green technology diffusion, this paper constructs an evolutionary game model of green technology networks based on small-world networks, integrating governmental regulation and public oversight perspectives. Through simulations within the real-world aviation context, we analyze the dynamic characteristics of green technology diffusion. Furthermore, we investigate the driving effects of governmental and public initiatives in facilitating green transformation of aviation manufacturing firms. The empirical results reveal several critical insights: (1) A government-mandated minimum threshold for environmental subsidies is crucial to propel the green technology diffusion. In scenarios where environmental regulation penalties are inadequately low, speculative behaviors among firms occur, hindering the diffusion process. (2) Amplifying public engagement significantly bolsters the rate of green technology diffusion and augments the average returns for firms. The public's tolerance threshold for environmental pollution exhibits a high sensitivity to the success of green technology diffusion. (3) We discern variances in green technology diffusion across different network types. While green technology successfully permeates scale-free networks with diverse densities, its diffusion is notably impeded in small-world networks with lower densities. The associative structures and hierarchical distribution of firms within clusters drive varying outcomes in green technology diffusion.</div></div>\",\"PeriodicalId\":11647,\"journal\":{\"name\":\"Energy\",\"volume\":\"313 \",\"pages\":\"Article 133634\"},\"PeriodicalIF\":9.0000,\"publicationDate\":\"2024-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0360544224034121\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360544224034121","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Green technology diffusion mechanism in China's aviation industry cluster based on complex network game model
The aviation industry cluster's diverse strategic choices of firms significantly influence the green technology diffusion. To examine how external factors and intra-cluster associative structures influence green technology diffusion, this paper constructs an evolutionary game model of green technology networks based on small-world networks, integrating governmental regulation and public oversight perspectives. Through simulations within the real-world aviation context, we analyze the dynamic characteristics of green technology diffusion. Furthermore, we investigate the driving effects of governmental and public initiatives in facilitating green transformation of aviation manufacturing firms. The empirical results reveal several critical insights: (1) A government-mandated minimum threshold for environmental subsidies is crucial to propel the green technology diffusion. In scenarios where environmental regulation penalties are inadequately low, speculative behaviors among firms occur, hindering the diffusion process. (2) Amplifying public engagement significantly bolsters the rate of green technology diffusion and augments the average returns for firms. The public's tolerance threshold for environmental pollution exhibits a high sensitivity to the success of green technology diffusion. (3) We discern variances in green technology diffusion across different network types. While green technology successfully permeates scale-free networks with diverse densities, its diffusion is notably impeded in small-world networks with lower densities. The associative structures and hierarchical distribution of firms within clusters drive varying outcomes in green technology diffusion.
期刊介绍:
Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics.
The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management.
Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.