Elsevier

Ecological Economics

Volume 68, Issues 8–9, 15 June 2009, Pages 2182-2192
Ecological Economics

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The dispersion and development of consumer preferences for genetically modified food — A meta-analysis

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Abstract

This paper presents a meta-analysis of 51 primary studies reporting a total of 114 genetically modified food valuation estimates. Results indicate that elicitation methods and formats used in the primary studies affect valuation estimates much more than do sample characteristics. The analysis of average preferences and dispersion of preferences indicates clear differences between regions. Furthermore, region-specific preferences diverge over time.

Introduction

The introduction of genetically modified (GM) content in food products has been the object of highly controversial debates in several countries for over a decade. Opponents, such as Greenpeace International, warn against potential risks to the environment and human health that arise from growing and consuming GM crop (Greenpeace International, 2008). They emphasise possible but not yet identified health risks, allergic reactions, and environmental risks, such as pest resistance and loss of biodiversity, and denounce the absence of long-term studies investigating these risks. On the other hand, proponents, such as the Council for Biotechnology Information, believe that the approval process in place for the commercialisation of GM foods is sound and that GM crops can have positive environmental impacts due to reduced pesticide and herbicide use, positive social impacts due to an increase in farmland productivity and positive health impacts, since they reduce farmers' exposure to toxic substances, especially in developing countries (Council for Biotechnology Information, 2008).

Given the distribution of conflicting information and the resulting uncertainty among consumers, politicians face the pressing problem of how to regulate the GM food market. There are three main options (Noussair et al., 2008): (i) banning GM foods, (ii) allowing GM foods without segregation from their conventional counterparts and (iii) allowing GM foods with segregation from their conventional counterparts. The first two policies have serious potential drawbacks. Banning GM products may be inefficient since potential welfare gains from the use of biotechnology would thus not be realised. On the other hand, allowing the introduction of GM foods into the food chain without segregation reduces consumer choice and, given consumers' strong resistance, may cause the collapse of entire market segments. The third option implies the creation of two separate production tracks and the introduction of a labelling scheme allowing consumers to choose between GM and non-GM food products. While segregation and labelling of GM products are beyond dispute, the choice of the labelling scheme, mandatory or voluntary, is a highly controversial issue. Some countries, such as the United States and Canada, have opted for a voluntary labelling scheme arguing that the market will offer the appropriate labelling incentives and produce an optimal degree of segregation among products without the unnecessary costs a mandatory scheme would imply (Huffman et al., 2002). Other countries, such as the European Union member states, Australia, New Zealand and Japan have opted for a mandatory labelling scheme arguing that consumers have the right to know.

In order to elicit consumer preferences for GM food and help politicians to efficiently regulate the market, numerous GM food valuation studies have been conducted., These studies, however, present a wide range of valuation estimates and, due to differences with respect to elicitation procedures, sample characteristics, products, and regional focus, a direct comparison of results and an explanation of what determines the large study-to-study variation in valuation estimates becomes challenging. Against this background, the aim of this paper is to identify the determinants of the variation in GM food valuation studies. Furthermore, the dispersion of consumer preferences and their development over time will be analysed. For this purpose, a meta-analysis of 51 studies is conducted which report a total of 114 valuation estimates for GM food.

The paper is structured as follows. Section 2 gives a short review of the relevant literature. Section 3 describes the data derived from the primary studies. Section 4 presents the results of the meta-regression model. Section 5 analyses the robustness of the results and presents several sensitivity tests. Section 6 summarises the key findings and concludes.

Section snippets

Previous research

While under a mandatory labelling scheme all GM products must be labelled as such, under a voluntary labelling scheme producers may voluntarily place labels on their products. In the latter case, producers typically use labels to mark non-GM products. In most countries with a mandatory labelling scheme, GM-labelled products are virtually nonexistent. In countries with a voluntary labelling scheme, GM products are available but they are unlabelled and therefore indistinguishable from their

Data

The extensive search for appropriate primary studies was conducted using all economic databases and websites commonly used.1 Furthermore, all reference lists in these studies were viewed. The analysis includes only studies which report a valuation estimate for GM food relative to the non-GM counterpart or vice versa. Furthermore, in cases where multiple papers used the same data set, only one paper has been

Results

Due to different primary sample sizes, different sample observations and different estimation procedures, the GM valuation estimates are likely to have non-homogeneous variances (heteroskedasticity). Estimates with smaller variances are generally more reliable and should therefore have more weight in the regression (Nelson and Kennedy, 2008). For this reason we will present results of linear regression models estimated by weighted least squares (WLS). As we do not know all primary valuation

Sensitivity analysis

Assessing 130 meta-studies in the field of environmental and resource economics, Nelson and Kennedy (2008) identify, besides heteroskedasticity, non-independence of multiple observations from primary studies and sample data heterogeneity as the main problems in meta-analysis. Non-independence of multiple observations from primary studies gives rise to within-study autocorrelation, i.e. correlated errors among certain groups of estimates. Correlated effect-size estimates imply biased standard

Summary and conclusion

The objectives of this paper are to identify the determinants of the large differences among estimates in GM food valuation studies and to analyse the dispersion and development of consumer preferences for GM food. For this purpose a meta-analysis of 51 studies reporting 114 valuation estimates is conducted.

The results show that the elicitation method and the elicitation format are far more important and influential than are sample characteristics. In simple terms, GM food valuation depends

Acknowledgements

The author thanks two anonymous referees for their very useful ideas, suggestions and comments.

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References (12)

  • AfoakwaEmmanuel Ohene

    Melamine contamination of infant formula in China: the causes

  • BatemanI.J. et al.

    Economic Valuation With Stated Preference Techniques. A Manual

    (2002)
  • Council for Biotechnology Information

    FAQs

    (2008)
  • FreyB.S. et al.

    Pro-social behavior, reciprocity or both?

  • Greenpeace International

    Say no to Genetic Engineering

    (2008)
  • HallC. et al.

    Valuing perceived risk of genetically modified food: a meta-analysis

There are more references available in the full text version of this article.

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