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Carlos E. Carpio

Researcher at Texas Tech University

Publications -  84
Citations -  1127

Carlos E. Carpio is an academic researcher from Texas Tech University. The author has contributed to research in topics: Willingness to pay & Contingent valuation. The author has an hindex of 13, co-authored 80 publications receiving 926 citations. Previous affiliations of Carlos E. Carpio include University of Texas at Austin & Clemson University.

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Consumer willingness to pay for locally grown products: the case of South Carolina

TL;DR: A contingent valuation framework is used to evaluate South Carolina consumers' willingness to pay for the "locally grown" characteristic in produce and animal products and identify the sociodemographic characteristics affecting consumer preferences for this characteristic.
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The demand for a COVID-19 vaccine in Ecuador.

TL;DR: Regression results show that WTP for the vaccine was associated with income, employment status, the perceived probability of needing hospitalization if contracting the virus causing COVID-19, and region of residence.
Posted ContentDOI

The demand for agritourism in the United States

TL;DR: In this paper, the authors explored factors affecting visits by the American population to farms and the economic value of the rural landscapes for farm visitors using data from the 2000 National Survey on Recreation and the Environment.
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Consumer willingness to pay for organic and locally grown produce on Dominica: insights into the potential for an “Organic Island”

TL;DR: In this paper, the authors explored Dominica's current and potential domestic demand for organic and/or locally grown produce and found that on average, Dominica consumers are willing to pay 17.5% more for organic, and 12 % more for locally grown, produce.
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A Flexible Parametric Family for the Modeling and Simulation of Yield Distributions

TL;DR: This article introduced a system of distributions that can span the entire mean-variance-skewness-kurtosis (MVSK) space and assesses its potential to serve as a more comprehensive parametric crop yield model, improving the breadth of distributional choices available to researchers.