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Essays on Animal Farming and External Validity for Sustainable Development.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Essays on Animal Farming and External Validity for Sustainable Development./
作者:
Palandri, Claire.
面頁冊數:
1 online resource (138 pages)
附註:
Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
Contained By:
Dissertations Abstracts International84-01B.
標題:
Sustainability. -
電子資源:
click for full text (PQDT)
ISBN:
9798837550447
Essays on Animal Farming and External Validity for Sustainable Development.
Palandri, Claire.
Essays on Animal Farming and External Validity for Sustainable Development.
- 1 online resource (138 pages)
Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
Thesis (Ph.D.)--Columbia University, 2022.
Includes bibliographical references
Research for sustainable development is distinguished by its intended focus on socio-ecological systems, and its mandate to bring together the insights and strengths of multiple disciplines. The animal farming system is understudied in the causal inference literature, despite the increasingly apparent environmental and social costs of its industrial form. The flourishing climate-economy literature, largely motivated by impending changes in climate, rests on assumptions that limit the external validity of its findings, and thereby their relevance for the future. This dissertation sheds light on (i) factors that limit the sustainability of animal farming, and (ii) statistical assumptions that limit the relevance of findings for sustainable development, through three empirical analyses. Chapter 1 quantifies the marginal surface water pollution caused by swine feeding operations in the U.S., which suggests the sustainability of animal production requires reducing its concentration in space. Chapter 2 estimates the impacts of humid heat stress on cow milk yield, their potential alleviation through cooling technologies, and provides evidence against the common assumption of time separability of temperature effects in agricultural production. Chapter 3 shows how the standard linear regression model can generate highly misleading conclusions in the climate-conflict literature, and proposes an alternative framework for inference.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798837550447Subjects--Topical Terms:
793436
Sustainability.
Subjects--Index Terms:
Animal farmingIndex Terms--Genre/Form:
554714
Electronic books.
Essays on Animal Farming and External Validity for Sustainable Development.
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Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
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Advisor: Almond, Douglas ; Lall, Upmanu.
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Includes bibliographical references
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Research for sustainable development is distinguished by its intended focus on socio-ecological systems, and its mandate to bring together the insights and strengths of multiple disciplines. The animal farming system is understudied in the causal inference literature, despite the increasingly apparent environmental and social costs of its industrial form. The flourishing climate-economy literature, largely motivated by impending changes in climate, rests on assumptions that limit the external validity of its findings, and thereby their relevance for the future. This dissertation sheds light on (i) factors that limit the sustainability of animal farming, and (ii) statistical assumptions that limit the relevance of findings for sustainable development, through three empirical analyses. Chapter 1 quantifies the marginal surface water pollution caused by swine feeding operations in the U.S., which suggests the sustainability of animal production requires reducing its concentration in space. Chapter 2 estimates the impacts of humid heat stress on cow milk yield, their potential alleviation through cooling technologies, and provides evidence against the common assumption of time separability of temperature effects in agricultural production. Chapter 3 shows how the standard linear regression model can generate highly misleading conclusions in the climate-conflict literature, and proposes an alternative framework for inference.
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click for full text (PQDT)
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