{"title":"Dairy farmers’ job satisfaction and the influence of automatic milking systems","authors":"Björn Gunnar Hansen , Egil Petter Stræte","doi":"10.1016/j.njas.2020.100328","DOIUrl":null,"url":null,"abstract":"<div><p>Innovation and implementation of new technology in farming is considered important to meet challenges for agriculture to increase sustainability and improve efficiency in production. Less emphasise has been on how the farmers experience the new technology. This paper responds to this gap and explores how Automatic Milking Systems (AMS) influence farmers’ job satisfaction. The research questions are: Are there differences in the experienced level of job satisfaction between AMS farmers and farmers applying Conventional Milking Systems (CMS)? Which factors determine the level of job satisfaction in dairy farming? Do these factors vary on AMS farms compared to CMS farms? The empirical data is based on a survey to a sample of dairy farmers with AMS and CMS. The results show that the most important factors which influence job satisfaction positively are common for AMS and CMS; Increased income, new cowshed, there is a successor present, farmer wants to continue farming. Contrary, higher education and being a male reduces job satisfaction. Further, the results show that AMS farmers are more satisfied with their working day, their occupational safety and their working environment. Other factors which influence job satisfaction for dairy farmers are; Less paper work, working together, considering technological competence less important, being appreciated, considering economic competence less important, increasing milk quota, loneliness and health worries. However, these factors can to a varying degree be explained from an AMS/CMS perspective, even though they differ between the two technologies.</p></div>","PeriodicalId":49751,"journal":{"name":"Njas-Wageningen Journal of Life Sciences","volume":"92 ","pages":"Article 100328"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.njas.2020.100328","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Njas-Wageningen Journal of Life Sciences","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1573521419301174","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 20
Abstract
Innovation and implementation of new technology in farming is considered important to meet challenges for agriculture to increase sustainability and improve efficiency in production. Less emphasise has been on how the farmers experience the new technology. This paper responds to this gap and explores how Automatic Milking Systems (AMS) influence farmers’ job satisfaction. The research questions are: Are there differences in the experienced level of job satisfaction between AMS farmers and farmers applying Conventional Milking Systems (CMS)? Which factors determine the level of job satisfaction in dairy farming? Do these factors vary on AMS farms compared to CMS farms? The empirical data is based on a survey to a sample of dairy farmers with AMS and CMS. The results show that the most important factors which influence job satisfaction positively are common for AMS and CMS; Increased income, new cowshed, there is a successor present, farmer wants to continue farming. Contrary, higher education and being a male reduces job satisfaction. Further, the results show that AMS farmers are more satisfied with their working day, their occupational safety and their working environment. Other factors which influence job satisfaction for dairy farmers are; Less paper work, working together, considering technological competence less important, being appreciated, considering economic competence less important, increasing milk quota, loneliness and health worries. However, these factors can to a varying degree be explained from an AMS/CMS perspective, even though they differ between the two technologies.
期刊介绍:
The NJAS - Wageningen Journal of Life Sciences, published since 1952, is the quarterly journal of the Royal Netherlands Society for Agricultural Sciences. NJAS aspires to be the main scientific platform for interdisciplinary and transdisciplinary research on complex and persistent problems in agricultural production, food and nutrition security and natural resource management. The societal and technical challenges in these domains require research integrating scientific disciplines and finding novel combinations of methodologies and conceptual frameworks. Moreover, the composite nature of these problems and challenges fits transdisciplinary research approaches embedded in constructive interactions with policy and practice and crossing the boundaries between science and society. Engaging with societal debate and creating decision space is an important task of research about the diverse impacts of novel agri-food technologies or policies. The international nature of food and nutrition security (e.g. global value chains, standardisation, trade), environmental problems (e.g. climate change or competing claims on natural resources), and risks related to agriculture (e.g. the spread of plant and animal diseases) challenges researchers to focus not only on lower levels of aggregation, but certainly to use interdisciplinary research to unravel linkages between scales or to analyse dynamics at higher levels of aggregation.
NJAS recognises that the widely acknowledged need for interdisciplinary and transdisciplinary research, also increasingly expressed by policy makers and practitioners, needs a platform for creative researchers and out-of-the-box thinking in the domains of agriculture, food and environment. The journal aims to offer space for grounded, critical, and open discussions that advance the development and application of interdisciplinary and transdisciplinary research methodologies in the agricultural and life sciences.