Using household demographic data to estimate demand for sustainable diets

Neil Chalmers; C Revoredo-Giha

doi:10.22004/ag.econ.289675

Using household demographic data to estimate demand for sustainable diets

Neil Chalmers^*
, C Revoredo-Giha

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

Abstract

Sustainable diets incorporate consumer acceptability whilst being nutritious and having a low carbon footprint. This paper estimated Exact Affine Stone Index (EASI) incomplete demand systems for different households using the Scottish section of Kantar Worldpanel data from 2010 to 2015. The resulting price elasticities were used within the Green et al (2015) quadratic programming diet model to estimate the quantities of food products which would constitute a sustainable diet. Four demographic groups were modelled and the results suggested that three of the groups could experience carbon emission reductions of between 30 to 55 per cent relative to baseline emissions. The diets would also likely offer an improvement in terms of nutritional quality as measured by the Mean Excess Ratio (MER).

Original language	English
Number of pages	31
DOIs	https://doi.org/10.22004/ag.econ.289675
Publication status	Print publication - 15 Apr 2019
Event	Annual Conference of the Agricultural Economics Society - Warwick, United Kingdom Duration: 15 Apr 2019 → 17 Apr 2019 Conference number: 93

Conference

Conference	Annual Conference of the Agricultural Economics Society
Country/Territory	United Kingdom
City	Warwick
Period	15/04/19 → 17/04/19

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10.22004/ag.econ.289675

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title = "Using household demographic data to estimate demand for sustainable diets",

abstract = "Sustainable diets incorporate consumer acceptability whilst being nutritious and having a low carbon footprint. This paper estimated Exact Affine Stone Index (EASI) incomplete demand systems for different households using the Scottish section of Kantar Worldpanel data from 2010 to 2015. The resulting price elasticities were used within the Green et al (2015) quadratic programming diet model to estimate the quantities of food products which would constitute a sustainable diet. Four demographic groups were modelled and the results suggested that three of the groups could experience carbon emission reductions of between 30 to 55 per cent relative to baseline emissions. The diets would also likely offer an improvement in terms of nutritional quality as measured by the Mean Excess Ratio (MER).",

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AU - Revoredo-Giha, C

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AB - Sustainable diets incorporate consumer acceptability whilst being nutritious and having a low carbon footprint. This paper estimated Exact Affine Stone Index (EASI) incomplete demand systems for different households using the Scottish section of Kantar Worldpanel data from 2010 to 2015. The resulting price elasticities were used within the Green et al (2015) quadratic programming diet model to estimate the quantities of food products which would constitute a sustainable diet. Four demographic groups were modelled and the results suggested that three of the groups could experience carbon emission reductions of between 30 to 55 per cent relative to baseline emissions. The diets would also likely offer an improvement in terms of nutritional quality as measured by the Mean Excess Ratio (MER).

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DO - 10.22004/ag.econ.289675

M3 - Paper

T2 - Annual Conference of the Agricultural Economics Society

Y2 - 15 April 2019 through 17 April 2019

ER -

Using household demographic data to estimate demand for sustainable diets

Abstract

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