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Food for thought: temporal distance and

the purchase-consumption difference

And the effect of household size in this food waste context

Christiaan Mensink

S2893940

July 1st, 2019

2 | 26-06-2019

Introduction

“Imagine walking out of a grocery store with four

bags of groceries, dropping one in the parking lot,

and just not bothering to pick it up. That is

essentially what we are doing”

– Dana Gunders

(2)

Table of contents

› Food waste and its antecedents

› Household characteristics

› Conceptual model

› Hypotheses

› Method

› Results

› Summary of findings

› Implications

› Limitations

4 | 26-06-2019

Food waste and its antecedents

› Household food waste is a result of the mismatch between

expectation and reality, with respect to all factors at the consumer

level

› 3 phases:

Purchase: unplanned purchase

(Stefan et al., 2013)

and

over-shopping

(Koivupuro et al., 2012)

Storage: consciously

(Chandon & Wansink, 2006)

and properly

(Hebrok &

Boks, 2017)

Consumption: over-preparation

freshness

(3)

Household characteristics

› Size

Food waste is positively related with household occupants

(Wenlock

et al., 1980)

Waste per capita decreases when household size increases

(Baker

et al., 2009)

Avoidable food waste is larger for smaller than bigger

households

(Koivupuro et al., 2012)

› Composition:

(Wenlock et al., 1980)

Effects of +1 person Absolute effect

Relative effect

Adults

++

0

Children

+

-6 | 26-06-2019

Conceptual model

Temporal distance

Δ Buying/consuming

Household size

(4)

Hypothesis 1

› Spontaneous purchasing and spur of the moment decisions

result in an ignorance of the food that is already in stock

(Cox &

Downing, 2007, Farr-Wharton et al., 2014).

› The underestimation of future contextual factors result in

purchasing food that is eventually not consumed

(Griffin & Ross,

1991, Evans, 2011).

› H1: When a consumer purchases for a distant (vs. close)

consumption moment, the difference between purchased and

consumed food is bigger (vs. smaller).

8 | 26-06-2019

Hypothesis 2

› Lifestyle of small households is more flexible

(Ganglbauer et al., 2014)

› Over-shopping

(Chandon & Wansink, 2006)

is stimulated: too large package

sizes and big package promotions

› H2: The smaller (vs. bigger) household size, the stronger (vs.

weaker) the effect of temporal distance on the difference between

purchased and consumed food.

(5)

Method

› Qualtrics survey with 218 respondents

› Manipulation of temporal distance: shopping for today’s meal or

for the meal in 3 days: scenarios

› Pasta meal

› What are the chances that you would choose for one of the

suggested alternatives above?

› What are the chances that you will prepare a meal with the

ingredients you chose in the supermarket?

› ANOVAs and ANCOVAs

(6)

Summary of findings (1)

Chances to use ingredients  positive when TD increases

› Consumers underestimate contextual factors of the event that will

take place in the future

› Products bought in advance decrease in relative value

Chances to go for alternative  negative when TD increases

› Consumers prefer desirability for future events, and feasibility for

near events

› Not significant

12 | 26-06-2019

Summary of findings (2)

Effect of household size

› Suggested reasons: lifestyle and over-shopping because of too big

packages

› No significant interactions for both DVs

› Efficient small households: age?

› Significant covariate

(7)

Implications

Policy makers

› Make people more attentive to future contextual factors: e.g. by

shopping list

› Emphasize people’s feelings while they cook/waste during

shopping: negative experiences can change the consumption

pattern

› Raise awareness via multiple channels and use devices (apps)

Companies

› Highlight feasibility to overcome contextual factors/feelings

› Decrease package size

14 | 26-06-2019

Limitations

› Self-reported items can be biased estimates of real behaviour

› Sample may not be representative

› DV is not normally distributed (assumption)

(8)

References

› Baker, D., Fear, J., & Denniss, R. (2009). What a waste - An analysis of household expenditure on food. Policy Brief No, 6, 2009. › Chandon, P., & Wansink, B. (2006). How biased house-hold inventory estimates distort shopping and storage decisions. Journal of

Marketing, 70(4), 118–135.

› Cox, J., & Downing, P. (2007). Food behaviour consumer research: quantitative phase. Retail Programme–Food Waste: Final Report. Material change for better environment. Brook Lyndhurst.

› Evans, D. (2011a). Blaming the consumer–once again: the social and material contexts of everyday food waste practices in some English households. Critical Public Health, 21(4), 429-440.

› Farr‐Wharton, G., Foth, M., & Choi, J. H. J. (2014). Identifying factors that promote consumer behaviours causing expired domestic food waste. Journal of Consumer Behaviour, 13(6), 393-402.

› Ganglbauer, E., Fitzpatrick, G., Comber, R., (2013). Negotiating food waste: using a practice lens to inform design. ACM Trans. Comput. Hum. Interact. 20, 1-25.

› Griffin, D. W., & Ross, L. (1991). Subjective construal, social inference and human misunder-standing. In M. Zanna. (Ed.), Advances in experimental social psychology (Vol. 24, pp. 319-359). New York: Academic Press.

› Hebrok, M., & Boks, C. (2017). Household food waste: Drivers and potential intervention points for design–An extensive review. Journal of Cleaner Production, 151, 380-392.

› Koivupuro, H. K., Hartikainen, H., Silvennoinen, K., Katajajuuri, J. M., Heikintalo, N., Reinikainen, A., & Jalkanen, L. (2012). Influence of socio‐demographi-cal, behavioural and attitudinal factors on the amount of avoidable food waste generated in Finnish house-holds. International Journal of Consumer Studies, 36(2), 183-191.

› Parizeau, K., von Massow, M., & Martin, R. (2015). Household-level dynamics of food waste production and related beliefs, attitudes, and behaviours in Guelph, Ontario. Waste Management, 35, 207-217.

› Porpino, G., Parente, J., & Wansink, B. (2015). Food waste paradox: antecedents of food disposal in low income households. International journal of consumer studies, 39(6), 619-629.

› Stefan, V., van Herpen, E., Tudoran, A. A., & Lähteen-mäki, L. (2013). Avoiding food waste by Romanian consumers: The importance of planning and shopping routines. Food Quality and Preference, 28(1), 375-381.

› Wenlock, R. W., Buss, D. H., Derry, B. J., & Dixon, E. J. (1980). Household food wastage in Britain. British Journal of Nutrition, 43(1), 53-70.

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