{"title":"测量和预测爱荷华州农民目前和潜在的未来使用覆盖作物","authors":"Laurie Nowatzke, J. Arbuckle","doi":"10.1080/08941920.2023.2183442","DOIUrl":null,"url":null,"abstract":"Abstract Iowa currently relies on voluntary mechanisms to promote the adoption of agricultural conservation practices to mitigate soil and water quality impacts. We draw on the reasoned action approach and diffusion-adoption frameworks to understand individual-level and external factors that influence farmers’ adoption of cover crops, an agricultural conservation practice. We examined farmers’ likelihoods of being a firm nonuser, a potential future user, or a current user of cover crops. Using data from a survey of 6,006 Iowa farmers, we conducted a multinomial logistic regression to analyze predictors of adoption and potential future adoption of cover crops. Positive predictors include no-till usage; support for environmental action; influence by local social networks and public agencies; and pasture acres. Negative predictors include rented land and perceptions about agronomic barriers to Iowa water quality improvement. This work explores variation among non-adopters and contributes to a more nuanced understanding of potential future adopters of cover crops in Iowa.","PeriodicalId":48223,"journal":{"name":"Society & Natural Resources","volume":"36 1","pages":"755 - 775"},"PeriodicalIF":2.2000,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Measuring and Predicting Iowa Farmers’ Current and Potential Future Use of Cover Crops\",\"authors\":\"Laurie Nowatzke, J. Arbuckle\",\"doi\":\"10.1080/08941920.2023.2183442\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Iowa currently relies on voluntary mechanisms to promote the adoption of agricultural conservation practices to mitigate soil and water quality impacts. We draw on the reasoned action approach and diffusion-adoption frameworks to understand individual-level and external factors that influence farmers’ adoption of cover crops, an agricultural conservation practice. We examined farmers’ likelihoods of being a firm nonuser, a potential future user, or a current user of cover crops. Using data from a survey of 6,006 Iowa farmers, we conducted a multinomial logistic regression to analyze predictors of adoption and potential future adoption of cover crops. Positive predictors include no-till usage; support for environmental action; influence by local social networks and public agencies; and pasture acres. Negative predictors include rented land and perceptions about agronomic barriers to Iowa water quality improvement. This work explores variation among non-adopters and contributes to a more nuanced understanding of potential future adopters of cover crops in Iowa.\",\"PeriodicalId\":48223,\"journal\":{\"name\":\"Society & Natural Resources\",\"volume\":\"36 1\",\"pages\":\"755 - 775\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2023-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Society & Natural Resources\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1080/08941920.2023.2183442\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"DEVELOPMENT STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Society & Natural Resources","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/08941920.2023.2183442","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DEVELOPMENT STUDIES","Score":null,"Total":0}
Measuring and Predicting Iowa Farmers’ Current and Potential Future Use of Cover Crops
Abstract Iowa currently relies on voluntary mechanisms to promote the adoption of agricultural conservation practices to mitigate soil and water quality impacts. We draw on the reasoned action approach and diffusion-adoption frameworks to understand individual-level and external factors that influence farmers’ adoption of cover crops, an agricultural conservation practice. We examined farmers’ likelihoods of being a firm nonuser, a potential future user, or a current user of cover crops. Using data from a survey of 6,006 Iowa farmers, we conducted a multinomial logistic regression to analyze predictors of adoption and potential future adoption of cover crops. Positive predictors include no-till usage; support for environmental action; influence by local social networks and public agencies; and pasture acres. Negative predictors include rented land and perceptions about agronomic barriers to Iowa water quality improvement. This work explores variation among non-adopters and contributes to a more nuanced understanding of potential future adopters of cover crops in Iowa.
期刊介绍:
Society and Natural Resources publishes cutting edge social science research that advances understanding of the interaction between society and natural resources.Social science research is extensive and comes from a number of disciplines, including sociology, psychology, political science, communications, planning, education, and anthropology. We welcome research from all of these disciplines and interdisciplinary social science research that transcends the boundaries of any single social science discipline. We define natural resources broadly to include water, air, wildlife, fisheries, forests, natural lands, urban ecosystems, and intensively managed lands. While we welcome all papers that fit within this broad scope, we especially welcome papers in the following four important and broad areas in the field: 1. Protected area management and governance 2. Stakeholder analysis, consultation and engagement; deliberation processes; governance; conflict resolution; social learning; social impact assessment 3. Theoretical frameworks, epistemological issues, and methodological perspectives 4. Multiscalar character of social implications of natural resource management