{"title":"环境和自然资源管理中的结构和观测不确定性","authors":"P. Fackler","doi":"10.1561/101.00000058","DOIUrl":null,"url":null,"abstract":"Structural uncertainty arises when key features of the behavior of a system are not well understood. Observational uncertainty arises when key variables in a system are not directly observed. Both types of uncertainty lead to problems for standard dynamic optimization approaches. The replacement of uncertainties by belief distributions over those uncertainties is one approach to addressing the problem. The use of this and other approaches are reviewed, with an emphasis on applications to environmental and resource management problems.","PeriodicalId":45355,"journal":{"name":"International Review of Environmental and Resource Economics","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1561/101.00000058","citationCount":"8","resultStr":"{\"title\":\"Structural and Observational Uncertainty in Environmental and Natural Resource Management\",\"authors\":\"P. Fackler\",\"doi\":\"10.1561/101.00000058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Structural uncertainty arises when key features of the behavior of a system are not well understood. Observational uncertainty arises when key variables in a system are not directly observed. Both types of uncertainty lead to problems for standard dynamic optimization approaches. The replacement of uncertainties by belief distributions over those uncertainties is one approach to addressing the problem. The use of this and other approaches are reviewed, with an emphasis on applications to environmental and resource management problems.\",\"PeriodicalId\":45355,\"journal\":{\"name\":\"International Review of Environmental and Resource Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2014-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1561/101.00000058\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Review of Environmental and Resource Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1561/101.00000058\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Environmental and Resource Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1561/101.00000058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
Structural and Observational Uncertainty in Environmental and Natural Resource Management
Structural uncertainty arises when key features of the behavior of a system are not well understood. Observational uncertainty arises when key variables in a system are not directly observed. Both types of uncertainty lead to problems for standard dynamic optimization approaches. The replacement of uncertainties by belief distributions over those uncertainties is one approach to addressing the problem. The use of this and other approaches are reviewed, with an emphasis on applications to environmental and resource management problems.
期刊介绍:
Environmental and resource economics has become a broad topic making connections with many other subdisciplines in economics as well as the natural and physical sciences. It has also experience a significant growth in research such that the literature is exploding in terms of the number of topics addressed, the number of methodological approaches being applied and the sheer number of articles being written. Coupled with the high degree of specialization that characterizes modern academic research, this proliferation of topics and methodologies makes it impossible for anyone, even those who specialize in the subject, to keep up with developments in the field.