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Tun-Hsiang Yu

Researcher at University of Tennessee

Publications -  56
Citations -  5680

Tun-Hsiang Yu is an academic researcher from University of Tennessee. The author has contributed to research in topics: Biofuel & Food prices. The author has an hindex of 14, co-authored 54 publications receiving 5461 citations. Previous affiliations of Tun-Hsiang Yu include Texas A&M University & Iowa State University.

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Journal ArticleDOI

Use of U.S. Croplands for Biofuels Increases Greenhouse Gases Through Emissions from Land-Use Change

TL;DR: This article found that corn-based ethanol, instead of producing a 20% savings, nearly doubled greenhouse emissions over 30 years and increased greenhouse gases for 167 years, by using a worldwide agricultural model to estimate emissions from land-use change.
Posted ContentDOI

Emerging Biofuels: Outlook of Effects on U.S. Grain, Oilseed, and Livestock Markets

TL;DR: In this article, the impacts of higher oil prices, a drought combined with an ethanol mandate, and removal of land from the Conservation Reserve Program (CRP) relative to baseline projections are also presented.
Posted ContentDOI

Cointegration and Causality Analysis of World Vegetable Oil and Crude Oil Prices

TL;DR: Yu et al. as discussed by the authors conducted a co-egration and causality analysis of world vegetable oil and crude oil prices, and found that the correlation between the two variables is low.
Posted Content

Land Allocation Effects of the Global Ethanol Surge: Predictions from the International FAPRI Model

TL;DR: In this paper, the authors quantify the emergence of biofuel markets and its impact on U.S. and world agriculture for the coming decade using the multi-market multi-commodity international FAPRI model.
Journal ArticleDOI

Land Allocation Effects of the Global Ethanol Surge: Predictions from the International FAPRI Model

TL;DR: In this paper, the authors quantify the emergence of biofuel markets and its impact on world agriculture using the multimarket, multicommodity international FAPRI model and compute shock multipliers for land allocation decisions for important crops and countries.