{"title":"地理网络对中国农村垃圾处理行为的影响:空间概率模型的贝叶斯估计","authors":"","doi":"10.1016/j.resconrec.2024.107854","DOIUrl":null,"url":null,"abstract":"<div><p>Recent years have witnessed an increased social, political, and academic interest in the influencing mechanism of pro-environmental waste disposal behavior. Particularly, it is widely acknowledged that social networks, usually represented by psychological closeness/distances in literature, can influence others’ behavior via sharing information and opinions. However, given the theory of behavioral contagion, geographic networks provide channels to directly observe others’ behavior and to further adapt self-behavior even in the absence of social networks. Despite this, a systematic analysis of how geographic networks affect waste disposal behavior is still lacking. Using the coordinates of the households surveyed in this study, we measure geographic networks by physical distances among household residences and distinguish the roles of geographic and social networks in shaping waste disposal behavior (including domestic waste sorting, agricultural waste disposal, sewage collection, and toilet retrofitting) by Bayesian estimation of a spatial autoregressive probit model. Besides confirming positive impacts of social networks, this empirical analysis reveals that pro-environmental waste disposal behavior spreads via geographic networks among neighboring households. More importantly, the intensity of this behavioral contagion varies between different types of waste disposal behavior due to heterogenous socio-economic characteristics.</p></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":null,"pages":null},"PeriodicalIF":11.2000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0921344924004476/pdfft?md5=97cde9231fa91a79cfb18fe86b78153f&pid=1-s2.0-S0921344924004476-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Geographic networks matter for pro-environmental waste disposal behavior in rural China: Bayesian estimation of a spatial probit model\",\"authors\":\"\",\"doi\":\"10.1016/j.resconrec.2024.107854\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Recent years have witnessed an increased social, political, and academic interest in the influencing mechanism of pro-environmental waste disposal behavior. Particularly, it is widely acknowledged that social networks, usually represented by psychological closeness/distances in literature, can influence others’ behavior via sharing information and opinions. However, given the theory of behavioral contagion, geographic networks provide channels to directly observe others’ behavior and to further adapt self-behavior even in the absence of social networks. Despite this, a systematic analysis of how geographic networks affect waste disposal behavior is still lacking. Using the coordinates of the households surveyed in this study, we measure geographic networks by physical distances among household residences and distinguish the roles of geographic and social networks in shaping waste disposal behavior (including domestic waste sorting, agricultural waste disposal, sewage collection, and toilet retrofitting) by Bayesian estimation of a spatial autoregressive probit model. Besides confirming positive impacts of social networks, this empirical analysis reveals that pro-environmental waste disposal behavior spreads via geographic networks among neighboring households. More importantly, the intensity of this behavioral contagion varies between different types of waste disposal behavior due to heterogenous socio-economic characteristics.</p></div>\",\"PeriodicalId\":21153,\"journal\":{\"name\":\"Resources Conservation and Recycling\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":11.2000,\"publicationDate\":\"2024-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0921344924004476/pdfft?md5=97cde9231fa91a79cfb18fe86b78153f&pid=1-s2.0-S0921344924004476-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Resources Conservation and Recycling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0921344924004476\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resources Conservation and Recycling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0921344924004476","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
Geographic networks matter for pro-environmental waste disposal behavior in rural China: Bayesian estimation of a spatial probit model
Recent years have witnessed an increased social, political, and academic interest in the influencing mechanism of pro-environmental waste disposal behavior. Particularly, it is widely acknowledged that social networks, usually represented by psychological closeness/distances in literature, can influence others’ behavior via sharing information and opinions. However, given the theory of behavioral contagion, geographic networks provide channels to directly observe others’ behavior and to further adapt self-behavior even in the absence of social networks. Despite this, a systematic analysis of how geographic networks affect waste disposal behavior is still lacking. Using the coordinates of the households surveyed in this study, we measure geographic networks by physical distances among household residences and distinguish the roles of geographic and social networks in shaping waste disposal behavior (including domestic waste sorting, agricultural waste disposal, sewage collection, and toilet retrofitting) by Bayesian estimation of a spatial autoregressive probit model. Besides confirming positive impacts of social networks, this empirical analysis reveals that pro-environmental waste disposal behavior spreads via geographic networks among neighboring households. More importantly, the intensity of this behavioral contagion varies between different types of waste disposal behavior due to heterogenous socio-economic characteristics.
期刊介绍:
The journal Resources, Conservation & Recycling welcomes contributions from research, which consider sustainable management and conservation of resources. The journal prioritizes understanding the transformation processes crucial for transitioning toward more sustainable production and consumption systems. It highlights technological, economic, institutional, and policy aspects related to specific resource management practices such as conservation, recycling, and resource substitution, as well as broader strategies like improving resource productivity and restructuring production and consumption patterns.
Contributions may address regional, national, or international scales and can range from individual resources or technologies to entire sectors or systems. Authors are encouraged to explore scientific and methodological issues alongside practical, environmental, and economic implications. However, manuscripts focusing solely on laboratory experiments without discussing their broader implications will not be considered for publication in the journal.