{"title":"利用 IPAT 预测不同人口、富裕程度和技术对环境的影响 - 气候变化和土地利用方案","authors":"E. Engström, Martin Kolk","doi":"10.1553/p-n5en-z38a","DOIUrl":null,"url":null,"abstract":"We theoretically explore the interrelations between population (P), affluence (A) and technology (T) for various environmental impacts (I ) using IPAT-type modelling. To illustrate the differences across environmental dimensions, climate and land use impacts are modelled. We use middle-of-the-road projections for population and per capita income and different forecasting methods for technology, including extrapolations of historical trends, models based on stochastic IPAT (STIRPAT) and predictions in the literature. The different approaches are compared within the IPAT framework. We also explore the consequences of alternative trajectories for P, A and T, and we discuss the implications of these trajectories for reaching global goals based on our modelling. The findings are analysed in light of three theories in environmental sociology, each of which places a different emphasis on the different components of IPAT. We argue that the large amount of technological mitigation assumed in many forecasts makes affluence and population relatively irrelevant for climate change. However, we also consider it likely that both factors will be determinants of land use impact in the 21st century.","PeriodicalId":34968,"journal":{"name":"Vienna Yearbook of Population Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Projecting environmental impacts with varying population, affluence and technology using IPAT – Climate change and land use scenarios\",\"authors\":\"E. Engström, Martin Kolk\",\"doi\":\"10.1553/p-n5en-z38a\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We theoretically explore the interrelations between population (P), affluence (A) and technology (T) for various environmental impacts (I ) using IPAT-type modelling. To illustrate the differences across environmental dimensions, climate and land use impacts are modelled. We use middle-of-the-road projections for population and per capita income and different forecasting methods for technology, including extrapolations of historical trends, models based on stochastic IPAT (STIRPAT) and predictions in the literature. The different approaches are compared within the IPAT framework. We also explore the consequences of alternative trajectories for P, A and T, and we discuss the implications of these trajectories for reaching global goals based on our modelling. The findings are analysed in light of three theories in environmental sociology, each of which places a different emphasis on the different components of IPAT. We argue that the large amount of technological mitigation assumed in many forecasts makes affluence and population relatively irrelevant for climate change. However, we also consider it likely that both factors will be determinants of land use impact in the 21st century.\",\"PeriodicalId\":34968,\"journal\":{\"name\":\"Vienna Yearbook of Population Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vienna Yearbook of Population Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1553/p-n5en-z38a\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vienna Yearbook of Population Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1553/p-n5en-z38a","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
Projecting environmental impacts with varying population, affluence and technology using IPAT – Climate change and land use scenarios
We theoretically explore the interrelations between population (P), affluence (A) and technology (T) for various environmental impacts (I ) using IPAT-type modelling. To illustrate the differences across environmental dimensions, climate and land use impacts are modelled. We use middle-of-the-road projections for population and per capita income and different forecasting methods for technology, including extrapolations of historical trends, models based on stochastic IPAT (STIRPAT) and predictions in the literature. The different approaches are compared within the IPAT framework. We also explore the consequences of alternative trajectories for P, A and T, and we discuss the implications of these trajectories for reaching global goals based on our modelling. The findings are analysed in light of three theories in environmental sociology, each of which places a different emphasis on the different components of IPAT. We argue that the large amount of technological mitigation assumed in many forecasts makes affluence and population relatively irrelevant for climate change. However, we also consider it likely that both factors will be determinants of land use impact in the 21st century.
期刊介绍:
In Europe there is currently an increasing public awareness of the importance that demographic trends have in reshaping our societies. Concerns about possible negative consequences of population aging seem to be the major force behind this new interest in demographic research. Demographers have been pointing out the fundamental change in the age composition of European populations and its potentially serious implications for social security schemes for more than two decades but it is only now that the expected retirement of the baby boom generation has come close enough in time to appear on the radar screen of social security planners and political decision makers to be considered a real challenge and not just an academic exercise.