Is biotechnology (more) acceptable when it enables a reduction in phytosanitary treatments? A European comparison of the acceptability of transgenesis and cisgenesis

Reduced pesticide use is one of the reasons given by Europeans for accepting new genetic engineering techniques. According to the advocates of these techniques, consumers are likely to embrace the application of cisgenesis to apple trees. In order to verify the acceptability of these techniques, we estimate a Bayesian multilevel structural equation model, which takes into account the multidimensional nature of acceptability and individual, national, and European effects, using data from the Eurobarometer 2010 73.1 on science. The results underline the persistence of clear differences between European countries and whilst showing considerable defiance, a relatively wider acceptability of vertical gene transfer as a means of reducing phytosanitary treatments, compared to horizontal transfer.

[1]  Andrew J. Knight Does Application Matter? An Examination of Public Perception of Agricultural Biotechnology Applications , 2006 .

[2]  Risto Lehtonen,et al.  Multilevel Statistical Models , 2005 .

[3]  V. Krishna,et al.  Consumer Attitudes toward GM Food and Pesticide Residues in India , 2008 .

[4]  E. Jacobsen,et al.  Cisgenesis, a New Tool for Traditional Plant Breeding, Should be Exempted from the Regulation on Genetically Modified Organisms in a Step by Step Approach , 2008, Potato Research.

[5]  Susanna Hornig Priest,et al.  The “Trust Gap” Hypothesis: Predicting Support for Biotechnology Across National Cultures as a Function of Trust in Actors , 2003, Risk analysis : an official publication of the Society for Risk Analysis.

[6]  S. Kroll,et al.  Is it love for local/organic or hate for conventional? Asymmetric effects of information and taste on label preferences in an experimental auction , 2014 .

[7]  Matthew C. Rousu,et al.  Who Do Consumers Trust for Information: The Case of Genetically Modified Foods? , 2004 .

[8]  István Siró,et al.  Functional food. Product development, marketing and consumer acceptance—A review , 2008, Appetite.

[9]  W. S. Robinson,et al.  Ecological correlations and the behavior of individuals. , 1950, International journal of epidemiology.

[10]  K. Loridon,et al.  Elimination of the nptII marker gene in transgenic apple and pear with a chemically inducible R/Rs recombinase , 2014, Plant Cell, Tissue and Organ Culture (PCTOC).

[11]  J. Renaut,et al.  An improved protocol to study the plant cell wall proteome , 2015, Front. Plant Sci..

[12]  A. Schnieke,et al.  The role of means and goals in technology acceptance , 2009, EMBO reports.

[13]  S. Piazza,et al.  Efficient heat-shock removal of the selectable marker gene in genetically modified grapevine , 2016, Plant Cell, Tissue and Organ Culture (PCTOC).

[14]  A. Patocchi,et al.  Application of a high-speed breeding technology to apple (Malus × domestica) based on transgenic early flowering plants and marker-assisted selection. , 2011, The New phytologist.

[15]  Diana M. Danforth,et al.  Revisiting GMOs: Are There Differences in European Consumers’ Acceptance and Valuation for Cisgenically vs Transgenically Bred Rice? , 2015, PloS one.

[16]  T. Pandolfini,et al.  Fruit improvement using intragenesis and artificial microRNA. , 2012, Trends in biotechnology.

[17]  Damien Rousselière,et al.  Confiance, justification et controverse sur les OGM en Europe , 2006, Cahiers d'Economie et sociologie rurales.

[18]  R. Nayga,et al.  Acceptance of genetically modified food: comparing consumer perspectives in the United States and South Korea , 2006 .

[19]  Antoine Messéan,et al.  Consumers’ willingness to pay for eco-friendly apples under different labels: Evidences from a lab experiment , 2012 .

[20]  Emilio Rodríguez-Cerezo,et al.  Deployment of new biotechnologies in plant breeding , 2012, Nature Biotechnology.

[21]  Niels Mejlgaard,et al.  The 2010 Eurobarometer on the life sciences , 2011, Nature Biotechnology.

[22]  Steven L. Scott,et al.  Inferring causal impact using Bayesian structural time-series models , 2015, 1506.00356.

[23]  A Public Consultation on Plant Molecular Farming , 2005 .

[24]  A. Fischer,et al.  Consumer attitudes towards hypoallergenic apples that alleviate mild apple allergy , 2011 .

[25]  C. Hall,et al.  Risk, Trust, and Consumer Acceptance of Plant Biotechnology , 2006 .

[26]  F. Conrad,et al.  Comparing Extreme Response Styles Between Agree-Disagree and Item-Specific Scales , 2015 .

[27]  Astrid Dannenberg,et al.  The dispersion and development of consumer preferences for genetically modified food — A meta-analysis , 2009 .

[28]  Justus Wesseler,et al.  Coexistence regulations and agriculture production: A case study of five Bt maize producers in Portugal , 2010 .

[29]  J. Gil,et al.  Consumer acceptance, valuation of and attitudes towards genetically modified food: Review and implications for food policy , 2008 .

[30]  Cesare Gessler,et al.  The development of a cisgenic apple plant. , 2011, Journal of biotechnology.

[31]  C. Auer Ecological Risk Assessment and Regulation for Genetically-Modified Ornamental Plants , 2008 .

[32]  Harvey Goldstein,et al.  Multilevel Structural Equation Models for the Analysis of Comparative Data on Educational Performance , 2007 .

[33]  Daniel Stegmueller,et al.  How Many Countries for Multilevel Modeling? A Comparison of Frequentist and Bayesian Approaches , 2013 .

[34]  Harvey Goldstein,et al.  Multilevel Factor Analysis Models for Continuous and Discrete Data , 2005 .

[35]  G. Jha,et al.  Current trends and future prospects of biotechnological interventions through tissue culture in apple , 2010, Plant Cell Reports.

[36]  Wei Qin,et al.  Factors explaining male/female differences in attitudes and purchase intention toward genetically engineered salmon , 2008 .

[37]  Amir Heiman The effect of information regarding multi-attributes on consumers' choices of GM products , 2014, Environment and Development Economics.

[38]  Peter C Austin,et al.  Estimating Multilevel Logistic Regression Models When the Number of Clusters is Low: A Comparison of Different Statistical Software Procedures , 2010, The international journal of biostatistics.

[39]  R. Nayga,et al.  On consumers’ willingness to purchase nutritionally enhanced genetically modified food , 2009 .

[40]  T. Hall,et al.  Understanding the Effect of Large Wildfires on Residents' Well-Being: What Factors Influence Wildfire Impact? , 2016 .

[41]  J. Lusk,et al.  A Meta-Analysis of Genetically Modified Food Valuation Studies , 2005 .

[42]  Harvey Goldstein,et al.  Multiple membership multiple classification (MMMC) models , 2001 .

[43]  Harvey Goldstein,et al.  Multilevel multivariate modelling of childhood growth, numbers of growth measurements and adult characteristics , 2009 .

[44]  Harvey Goldstein,et al.  A Multilevel Factor Model for Mixed Binary and Ordinal Indicators of Women's Status , 2006 .

[45]  J. Lusk,et al.  Public Policy and Endogenous Beliefs: The Case of Genetically Modified Food , 2008 .

[46]  Carla Rampichini,et al.  Multilevel Factor Models for Ordinal Variables , 2007 .

[47]  Stephen P. Jenkins,et al.  Multilevel Modelling of Country Effects: A Cautionary Tale , 2016 .

[48]  L. Martinelli,et al.  Cisgenics as emerging bio-objects: bio-objectification and bio-identification in agrobiotech innovation , 2015 .

[49]  David R. Anderson,et al.  Multimodel Inference , 2004 .

[50]  Matthew C. Rousu,et al.  The Effects of Prior Beliefs and Learning on Consumers' Acceptance of Genetically Modified Foods , 2007 .

[51]  E. Moretti,et al.  Does education improve citizenship? Evidence from the United States and the United Kingdom , 2004 .

[52]  Patrick Sturgis,et al.  Attitudes to biotechnology: Estimating the opinions of a better-informed public , 2005, New genetics and society.

[53]  Roger E Bumgarner,et al.  The genome of the domesticated apple (Malus × domestica Borkh.) , 2010, Nature Genetics.

[54]  S. Rabe-Hesketh,et al.  Generalized multilevel structural equation modeling , 2004 .

[55]  Jennifer Kuzma,et al.  Policy: Reboot the debate on genetic engineering , 2016, Nature.

[56]  A. Bennett,et al.  Research and adoption of biotechnology strategies could improve California fruit and nut crops , 2012 .

[57]  M. Loureiro,et al.  Enhanced GM foods: Are consumers ready to pay for the potential benefits of biotechnology? , 2005 .

[58]  S. Kroll,et al.  An in-store valuation of local and organic apples: the role of social desirability , 2011 .

[59]  Bradley P. Carlin,et al.  Bayesian measures of model complexity and fit , 2002 .

[60]  K. Bollen Latent variables in psychology and the social sciences. , 2002, Annual review of psychology.

[61]  D. Rousselière,et al.  Decomposing the effects of time on the social acceptability of biotechnology using age-period-cohort-country models , 2017, Public understanding of science.

[62]  P. Sandøe,et al.  Feasibility of new breeding techniques for organic farming. , 2015, Trends in plant science.

[63]  José G. Dias,et al.  What do Europeans Believe to be the Causes of Poverty? A Multilevel Analysis of Heterogeneity Within and Between Countries , 2015 .

[64]  F. Krens,et al.  Cisgenic apple trees; development, characterization, and performance , 2015, Front. Plant Sci..

[65]  Richard G. Newell,et al.  Simplified marginal effects in discrete choice models , 2003 .

[66]  H. Jensen,et al.  Discounting Spotted Apples: Investigating Consumers' Willingness to Accept Cosmetic Damage in an Organic Product , 2006, Journal of Agricultural and Applied Economics.

[67]  Caroline M. Saunders,et al.  Process Versus Product: Which Determines Consumer Demand for Genetically Modified Apples? , 2005 .

[68]  K. Loridon,et al.  Effect of ectopic expression of the eutypine detoxifying gene Vr-ERE in transgenic apple plants , 2011, Plant Cell, Tissue and Organ Culture (PCTOC).

[69]  J. Barnett,et al.  Belief in Public Efficacy, Trust, and Attitudes Toward Modern Genetic Science , 2007, Risk analysis : an official publication of the Society for Risk Analysis.

[70]  D. Hennessy,et al.  CONSUMERS' VALUATION OF INSECTICIDE USE RESTRICTIONS: AN APPLICATION TO APPLES , 1998 .

[71]  Hilla Peretz,et al.  The , 1966 .

[72]  G. Gaskell,et al.  GM Foods and the Misperception of Risk Perception , 2004, Risk analysis : an official publication of the Society for Risk Analysis.

[73]  Jeroen K. Vermunt,et al.  7. Multilevel Latent Class Models , 2003 .

[74]  Eric Tollens,et al.  Regulating coexistence in Europe: Beware of the domino-effect! , 2008 .

[75]  David K. Holdsworth,et al.  Food miles: Do UK consumers actually care? , 2010 .

[76]  H. Jochemsen An Ethical Assessment of Cisgenesis in Breeding Late Blight Resistant Potato , 2008, Potato Research.

[77]  I. Gribaudo,et al.  Genetic transformation of fruit trees: current status and remaining challenges , 2012, Transgenic Research.

[78]  J. Kuzma,et al.  Renegotiating GM crop regulation , 2011, EMBO reports.

[79]  Xin-Yuan Song and Sik-Yum Lee. Basic and advanced Bayesian structural equation modeling , 2015 .

[80]  J. Alston,et al.  The Economics of Horticultural Biotechnology , 2006 .

[81]  G. Gaskell,et al.  European Public Perceptions of Food Risk: Cross‐National and Methodological Comparisons , 2008, Risk analysis : an official publication of the Society for Risk Analysis.

[82]  Peter Sandøe,et al.  The role of scientific knowledge in shaping public attitudes to GM technologies , 2013, Public understanding of science.

[83]  N. Allum An Empirical Test of Competing Theories of Hazard‐Related Trust: The Case of GM Food , 2007, Risk analysis : an official publication of the Society for Risk Analysis.

[84]  Consumer acceptance of ingenic foods , 2006, Biotechnology journal.

[85]  P. Joly,et al.  Les Américains ont-ils accepté les OGM ? Analyse comparée de la construction des OGM comme problème public en France et aux États-Unis , 2003, Cahiers d'Economie et sociologie rurales.

[86]  H. J. Schouten,et al.  Cisgenesis: an important sub-invention for traditional plant breeding companies , 2009, Euphytica.

[87]  Harvey Goldstein,et al.  Estimation in generalised linear mixed models with binary outcomes by simulated maximum likelihood , 2006 .

[88]  A. Patocchi,et al.  Development of the First Cisgenic Apple with Increased Resistance to Fire Blight , 2015, PloS one.

[89]  S. Bonny How have opinions about GMOs changed over time? The situation in the European Union and the USA , 2008 .

[90]  Edward J. Ryder,et al.  World Vegetable Industry: Production, Breeding, Trends , 2011 .

[91]  W. Huffman,et al.  Consumers’ Willingness to Pay for Genetically Modified Foods with Product-Enhancing Nutritional Attributes , 2011 .

[92]  Walter Sermeus,et al.  Multilevel factor analytic models for assessing the relationship between nurse-reported adverse events and patient safety , 2014 .

[93]  Harvey Goldstein,et al.  Multilevel factor analysis modelling using Markov Chain Monte Carlo (MCMC) estimation , 2002 .

[94]  W. Wagner,et al.  How Natural Is “More Natural”? The Role of Method, Type of Transfer, and Familiarity for Public Perceptions of Cisgenic and Transgenic Modification , 2014 .

[95]  J. Lassen,et al.  Europeans and Biotechnology in 2002 , 2003 .