Pub Date : 2023-11-20DOI: 10.1007/s10818-023-09342-w
Vanessa Woods, Melinda Knuth
{"title":"The Biophilia Reactivity Hypothesis: biophilia as a temperament trait, or more precisely, a domain specific attraction to biodiversity","authors":"Vanessa Woods, Melinda Knuth","doi":"10.1007/s10818-023-09342-w","DOIUrl":"https://doi.org/10.1007/s10818-023-09342-w","url":null,"abstract":"","PeriodicalId":35608,"journal":{"name":"Journal of Bioeconomics","volume":"69 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139258767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-06DOI: 10.1007/s10818-023-09340-y
Ing-Marie Gren, Kerstin Holmgren, Willem Goedkoop
Abstract Motives for fishing differ among fishers, which may imply different effects of climate change on the net values of fishing. Climate change has impacts on fish population dynamics and on other factors in the fishers’ harvest decision, such as alternative sources of food or income. Here we present a bio-economic model that includes impacts of climate change on fish population and on net values of harvest by fishers with recreational or subsistence fishing motives. The conceptual analysis shows that the economic effects of climate change with simultaneous impacts on fish population growth and harvest values are inconclusive with common fishing access for both fisher types and when there are opposite simultaneous climate effects with exclusive access for one of the fisher types. Numerical results from our model of Arctic char ( Salvelinus alpinus ) in northern Sweden indicate that climate change, measured as temperature increases, reduces fish population growth but increases net values of fishing for both fisher types. The combined net effect of these counteracting forces is that annual net values can almost cease for the subsistence fisher in the future but increase considerably for the recreational fisher.
{"title":"Fishing motives and economic effects of climate change: an application on Arctic char in northern Sweden","authors":"Ing-Marie Gren, Kerstin Holmgren, Willem Goedkoop","doi":"10.1007/s10818-023-09340-y","DOIUrl":"https://doi.org/10.1007/s10818-023-09340-y","url":null,"abstract":"Abstract Motives for fishing differ among fishers, which may imply different effects of climate change on the net values of fishing. Climate change has impacts on fish population dynamics and on other factors in the fishers’ harvest decision, such as alternative sources of food or income. Here we present a bio-economic model that includes impacts of climate change on fish population and on net values of harvest by fishers with recreational or subsistence fishing motives. The conceptual analysis shows that the economic effects of climate change with simultaneous impacts on fish population growth and harvest values are inconclusive with common fishing access for both fisher types and when there are opposite simultaneous climate effects with exclusive access for one of the fisher types. Numerical results from our model of Arctic char ( Salvelinus alpinus ) in northern Sweden indicate that climate change, measured as temperature increases, reduces fish population growth but increases net values of fishing for both fisher types. The combined net effect of these counteracting forces is that annual net values can almost cease for the subsistence fisher in the future but increase considerably for the recreational fisher.","PeriodicalId":35608,"journal":{"name":"Journal of Bioeconomics","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135350710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-30DOI: 10.1007/s10818-023-09339-5
James L. Doti
Abstract This study presents a theoretical and empirical regression model to measure the efficacy of vaccinations in reducing COVID death rates across states over the 3/10/21 to 12/28/22 period. During that period, it was estimated that the availability of vaccinations resulted in a reduction of 427,000 COVID deaths in the nation. To arrive at that estimate, other covariants were held constant. In particular, it was found that chronic disease should be included as an explanatory variable to arrive at unbiased measures of the efficacy of vaccinations in reducing deaths. In addition, the percentage of people over the age of 65 was found to be highly significant. The only ethnic/racial characteristic that was significant in explaining COVID deaths was the percentage of American Indians/Alaska Natives residing in a state. Other ethnic/racial characteristics, as well as variables representing population, density, governmental stringency, and income, were not significant over the period tested.
{"title":"The impact of vaccinations and chronic disease on COVID death rates","authors":"James L. Doti","doi":"10.1007/s10818-023-09339-5","DOIUrl":"https://doi.org/10.1007/s10818-023-09339-5","url":null,"abstract":"Abstract This study presents a theoretical and empirical regression model to measure the efficacy of vaccinations in reducing COVID death rates across states over the 3/10/21 to 12/28/22 period. During that period, it was estimated that the availability of vaccinations resulted in a reduction of 427,000 COVID deaths in the nation. To arrive at that estimate, other covariants were held constant. In particular, it was found that chronic disease should be included as an explanatory variable to arrive at unbiased measures of the efficacy of vaccinations in reducing deaths. In addition, the percentage of people over the age of 65 was found to be highly significant. The only ethnic/racial characteristic that was significant in explaining COVID deaths was the percentage of American Indians/Alaska Natives residing in a state. Other ethnic/racial characteristics, as well as variables representing population, density, governmental stringency, and income, were not significant over the period tested.","PeriodicalId":35608,"journal":{"name":"Journal of Bioeconomics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136119824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-30DOI: 10.21203/rs.3.rs-2814253/v1
J. Doti
This study presents a theoretical and empirical regression model to measure the efficacy of vaccinations in reducing COVID death rates across states over the 3/10/21 to 12/28/22 period. During that period, it was estimated that the availability of vaccinations resulted in a reduction of 427,000 COVID deaths in the nation. To arrive at that estimate, other covariants were held constant. In particular, it was found that chronic disease should be included as an explanatory variable to arrive at unbiased measures of the efficacy of vaccinations in reducing deaths. In addition, the percentage of people over the age of 65 was found to be highly significant. The only ethnic/racial characteristic that was significant in explaining COVID deaths was the percentage of American Indians/Alaska Natives residing in a state. Other ethnic/racial characteristics, as well as variables representing population, density, governmental stringency, and income, were not significant over the period tested.
{"title":"The impact of vaccinations and chronic disease on COVID death rates","authors":"J. Doti","doi":"10.21203/rs.3.rs-2814253/v1","DOIUrl":"https://doi.org/10.21203/rs.3.rs-2814253/v1","url":null,"abstract":"This study presents a theoretical and empirical regression model to measure the efficacy of vaccinations in reducing COVID death rates across states over the 3/10/21 to 12/28/22 period. During that period, it was estimated that the availability of vaccinations resulted in a reduction of 427,000 COVID deaths in the nation. To arrive at that estimate, other covariants were held constant. In particular, it was found that chronic disease should be included as an explanatory variable to arrive at unbiased measures of the efficacy of vaccinations in reducing deaths. In addition, the percentage of people over the age of 65 was found to be highly significant. The only ethnic/racial characteristic that was significant in explaining COVID deaths was the percentage of American Indians/Alaska Natives residing in a state. Other ethnic/racial characteristics, as well as variables representing population, density, governmental stringency, and income, were not significant over the period tested.","PeriodicalId":35608,"journal":{"name":"Journal of Bioeconomics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42531273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-17DOI: 10.1007/s10818-023-09338-6
D. Haig
{"title":"Fat as insurance, leanness as bodily display: did Ronald Reagan make us fat?","authors":"D. Haig","doi":"10.1007/s10818-023-09338-6","DOIUrl":"https://doi.org/10.1007/s10818-023-09338-6","url":null,"abstract":"","PeriodicalId":35608,"journal":{"name":"Journal of Bioeconomics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49367992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-14DOI: 10.1007/s10818-023-09335-9
I. Evstigneev, T. Hens, M. J. Vanaei
{"title":"Evolutionary finance: a model with endogenous asset payoffs","authors":"I. Evstigneev, T. Hens, M. J. Vanaei","doi":"10.1007/s10818-023-09335-9","DOIUrl":"https://doi.org/10.1007/s10818-023-09335-9","url":null,"abstract":"","PeriodicalId":35608,"journal":{"name":"Journal of Bioeconomics","volume":"25 1","pages":"117 - 143"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48329660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-10DOI: 10.1007/s10818-023-09334-w
Thomas Holtfort, Andreas Horsch
{"title":"Social science goes quantum: explaining human decision-making, cognitive biases and Darwinian selection from a quantum perspective","authors":"Thomas Holtfort, Andreas Horsch","doi":"10.1007/s10818-023-09334-w","DOIUrl":"https://doi.org/10.1007/s10818-023-09334-w","url":null,"abstract":"","PeriodicalId":35608,"journal":{"name":"Journal of Bioeconomics","volume":"25 1","pages":"99 - 116"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45613386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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