{"title":"总统演讲:对农场业绩的痴迷:灰姑娘的数据故事?","authors":"Paul Wilson","doi":"10.1111/1477-9552.70005","DOIUrl":null,"url":null,"abstract":"Agricultural policies have long sought to address the low farm income problem. Investment in farm‐level data collection to analyse these policies has generated extensive datasets that have substantially facilitated the estimation and understanding of farm‐level performance. These high‐quality datasets are underpinned by first‐principles methodological developments and implemented by Research or Investigation Officers (RIO). A Scopus research output search (2000–2024) shows the importance of income, sustainability, performance, efficiency and productivity as research topics drawing on farm‐level datasets. We now require farm‐level data collection and analysis to extend in scope if we are to achieve Net Zero targets. Current global sustainability legislation is based upon production or territorial emissions only, which may incentivise carbon‐inefficient production. To overcome this issue, one approach is the implementation of Agricultural Carbon Border Adjustment Mechanisms (Ag‐CBAM) within international trading rules. These would require robust farm‐level Greenhouse Gas (GHG) data reporting that has proved complex and thus far lack national and international definitional agreement. Collecting farm‐level Key Practice Indicator (KPRI) data, as included in the EU's Farm Sustainability Data Network (FSDN), can demonstrate economic‐environmental win‐wins and farmer‐to‐farmer communication opportunities to reduce agricultural GHG impacts. Central to these new data are the RIOs who engage with farmers to make data provision possible. Farm‐level performance analysis will remain central to our understanding of farming and food systems. We should give greater recognition to our colleagues who collect, collate and synthesise farm‐level data.","PeriodicalId":14994,"journal":{"name":"Journal of Agricultural Economics","volume":"127 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Presidential Address: Obsessions With Farm Performance: A Cinderella Data Story?\",\"authors\":\"Paul Wilson\",\"doi\":\"10.1111/1477-9552.70005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Agricultural policies have long sought to address the low farm income problem. Investment in farm‐level data collection to analyse these policies has generated extensive datasets that have substantially facilitated the estimation and understanding of farm‐level performance. These high‐quality datasets are underpinned by first‐principles methodological developments and implemented by Research or Investigation Officers (RIO). A Scopus research output search (2000–2024) shows the importance of income, sustainability, performance, efficiency and productivity as research topics drawing on farm‐level datasets. We now require farm‐level data collection and analysis to extend in scope if we are to achieve Net Zero targets. Current global sustainability legislation is based upon production or territorial emissions only, which may incentivise carbon‐inefficient production. To overcome this issue, one approach is the implementation of Agricultural Carbon Border Adjustment Mechanisms (Ag‐CBAM) within international trading rules. These would require robust farm‐level Greenhouse Gas (GHG) data reporting that has proved complex and thus far lack national and international definitional agreement. Collecting farm‐level Key Practice Indicator (KPRI) data, as included in the EU's Farm Sustainability Data Network (FSDN), can demonstrate economic‐environmental win‐wins and farmer‐to‐farmer communication opportunities to reduce agricultural GHG impacts. Central to these new data are the RIOs who engage with farmers to make data provision possible. Farm‐level performance analysis will remain central to our understanding of farming and food systems. We should give greater recognition to our colleagues who collect, collate and synthesise farm‐level data.\",\"PeriodicalId\":14994,\"journal\":{\"name\":\"Journal of Agricultural Economics\",\"volume\":\"127 1\",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Agricultural Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1111/1477-9552.70005\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURAL ECONOMICS & POLICY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agricultural Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1111/1477-9552.70005","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURAL ECONOMICS & POLICY","Score":null,"Total":0}
Presidential Address: Obsessions With Farm Performance: A Cinderella Data Story?
Agricultural policies have long sought to address the low farm income problem. Investment in farm‐level data collection to analyse these policies has generated extensive datasets that have substantially facilitated the estimation and understanding of farm‐level performance. These high‐quality datasets are underpinned by first‐principles methodological developments and implemented by Research or Investigation Officers (RIO). A Scopus research output search (2000–2024) shows the importance of income, sustainability, performance, efficiency and productivity as research topics drawing on farm‐level datasets. We now require farm‐level data collection and analysis to extend in scope if we are to achieve Net Zero targets. Current global sustainability legislation is based upon production or territorial emissions only, which may incentivise carbon‐inefficient production. To overcome this issue, one approach is the implementation of Agricultural Carbon Border Adjustment Mechanisms (Ag‐CBAM) within international trading rules. These would require robust farm‐level Greenhouse Gas (GHG) data reporting that has proved complex and thus far lack national and international definitional agreement. Collecting farm‐level Key Practice Indicator (KPRI) data, as included in the EU's Farm Sustainability Data Network (FSDN), can demonstrate economic‐environmental win‐wins and farmer‐to‐farmer communication opportunities to reduce agricultural GHG impacts. Central to these new data are the RIOs who engage with farmers to make data provision possible. Farm‐level performance analysis will remain central to our understanding of farming and food systems. We should give greater recognition to our colleagues who collect, collate and synthesise farm‐level data.
期刊介绍:
Published on behalf of the Agricultural Economics Society, the Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment.
Each issue of the JAE contains articles, notes and book reviews as well as information relating to the Agricultural Economics Society. Published 3 times a year, it is received by members and institutional subscribers in 69 countries. With contributions from leading international scholars, the JAE is a leading citation for agricultural economics and policy. Published articles either deal with new developments in research and methods of analysis, or apply existing methods and techniques to new problems and situations which are of general interest to the Journal’s international readership.