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Luis Garcia-Covarrubias

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Luis Garcia-Covarrubias

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Research
CV
Contact me
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Luis Garcia-Covarrubias

Agricultural and Environmental Economist

Luis Garcia-Covarrubias, PhD.

I am a Postdoctoral Researcher in Agricultural Economics and Sustainability at the University of California, Davis.

I hold a PhD in Economics from the National University of Ireland.

My primary research focus is on agricultural and environmental economics. I am passionate about employing econometrics and data science across various disciplines, including, but not limited to, labour economics, education, and medical science. My teaching experience spans undergraduate and postgraduate levels, where I've lectured on economics-related subjects.

Beyond academia, I was the Chief Data Officer at an NGO in Mexico and Latin America from 2015 to 2019.

You can explore my professional background more on my LinkedIn profile here.

Recent Articles

The role of hired labour on technical efficiency in an expanding dairy sector: the case of Ireland

This article discusses the impact of the EU milk quota abolition on the European dairy sector, focusing on Irish dairy farms and the role of hired labour in technical efficiency (TE).

We apply a state-of-the-art Stochastic frontier model to explore the effect of hired labour on family farms TE to a representative sample of Irish dairy farms spanning from 2000 to 2018.

The study finds that hired labour has a positive effect on TE, particularly benefiting smaller farms. The paper also emphasizes the importance of policies that encourage access to hired labour and communication about its efficiency gains. However, we acknowledge the need for further investigation into the economic impact of increased labour costs and highlight that the positive effect of hired labour on TE may also apply to family farms in other developed countries.

This article is published in the Australian Journal of Agricultural Economics .

Automation and efficiency: a latent class analysis of Irish dairy farms

This article explores the role of automation on farms' technical efficiency (TE) in an expanding dairy sector.

We use a representative sample of Irish dairy farms that includes detailed data on automated technologies.

Research findings indicate the existence of two classes of Irish dairy farms: smaller, less intensive and larger, and more intensive farms. We find significant differences between the classes in relation to farm characteristics, input use, labour efficiency, and TE scores. Our findings also suggest that automation has a heterogeneous effect on farms' TE depending on farms' classification.

This article is published in the QOpen Journal of Agricultural, and Environmental Economics.

Standardization and validity of Chefmania, a videogame designed as a cognitive screening test for children

In this article, the potential of a videogame (i.e., Chefmania) as a diagnostic tool for cognitive deficits was studied.

We carried out an standardization on a representative sample of Mexican children. The standardization included 266 children divided into three age groups. Concurrent validity was determined by correlating Chefmania with other standardized cognitive batteries (e.g., Neuropsi). Discriminant validity was determined by the comparison of Chefmania scores between school children and children with attention deficit hyperactivity disorder (ADHD).

The findings reveal the correct assessment of an age effect, meaning older children performed better in Chefmania subtests. Chefmania showed significant and moderate correlations with Neuropsi. Children with ADHD showed poorer performance. In summary, Chefmania is a valid instrument for the psychometric assessment of children's cognition and is suitable for use in schools.

This article is published in Nature.

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