{"title":"严谨革命:国际农业研究影响评估证据的新标准","authors":"J. Stevenson, K. Macours, D. Gollin","doi":"10.1146/annurev-resource-101722-082519","DOIUrl":null,"url":null,"abstract":"We take stock of the major changes in methodology for studying the impacts of international agricultural research, focusing on the period 2006–2020. Impact assessment of agricultural research has a long and recognized tradition. Until the mid-2000s, such assessments were dominated by a model of demand for and supply of agricultural products in partial equilibrium. The basic ideas for this approach were sketched out by Griliches more than half a century ago. We describe the implications of heightened standards of evidence for good practice in three domains of research design: causal inference, valid measurement, and statistical representativeness. We document advances in each of these domains and review recent evidence that demonstrates the lessons that can be learned from adopting these practices, emphasizing the importance of evidence at-scale, the need to consider portfolios of innovations at a national level, and the challenges of accounting for innovations that are promoted as bundles. Expected final online publication date for the Annual Review of Resource Economics, Volume 15 is October 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":48856,"journal":{"name":"Annual Review of Resource Economics","volume":"46 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Rigor Revolution: New Standards of Evidence for Impact Assessment of International Agricultural Research\",\"authors\":\"J. Stevenson, K. Macours, D. Gollin\",\"doi\":\"10.1146/annurev-resource-101722-082519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We take stock of the major changes in methodology for studying the impacts of international agricultural research, focusing on the period 2006–2020. Impact assessment of agricultural research has a long and recognized tradition. Until the mid-2000s, such assessments were dominated by a model of demand for and supply of agricultural products in partial equilibrium. The basic ideas for this approach were sketched out by Griliches more than half a century ago. We describe the implications of heightened standards of evidence for good practice in three domains of research design: causal inference, valid measurement, and statistical representativeness. We document advances in each of these domains and review recent evidence that demonstrates the lessons that can be learned from adopting these practices, emphasizing the importance of evidence at-scale, the need to consider portfolios of innovations at a national level, and the challenges of accounting for innovations that are promoted as bundles. Expected final online publication date for the Annual Review of Resource Economics, Volume 15 is October 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.\",\"PeriodicalId\":48856,\"journal\":{\"name\":\"Annual Review of Resource Economics\",\"volume\":\"46 1\",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2023-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual Review of Resource Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1146/annurev-resource-101722-082519\",\"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":"Annual Review of Resource Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1146/annurev-resource-101722-082519","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}
The Rigor Revolution: New Standards of Evidence for Impact Assessment of International Agricultural Research
We take stock of the major changes in methodology for studying the impacts of international agricultural research, focusing on the period 2006–2020. Impact assessment of agricultural research has a long and recognized tradition. Until the mid-2000s, such assessments were dominated by a model of demand for and supply of agricultural products in partial equilibrium. The basic ideas for this approach were sketched out by Griliches more than half a century ago. We describe the implications of heightened standards of evidence for good practice in three domains of research design: causal inference, valid measurement, and statistical representativeness. We document advances in each of these domains and review recent evidence that demonstrates the lessons that can be learned from adopting these practices, emphasizing the importance of evidence at-scale, the need to consider portfolios of innovations at a national level, and the challenges of accounting for innovations that are promoted as bundles. Expected final online publication date for the Annual Review of Resource Economics, Volume 15 is October 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
期刊介绍:
The Annual Review of Resource Economics provides authoritative critical reviews evaluating the most significant research developments in resource economics, focusing on agricultural economics, environmental economics, renewable resources, and exhaustible resources.