5. Approval of genetically
engineered products
5.1 Measuring Options on Complex Issues
5.2 Introduction to Genetic Engineering
5.3 Levels of Approval
5.4 Structure of Opinion on Genetic Engineering
5.5 Summary: Approval
5.1 Measuring Opinions
on Complex Issues
In survey research there are no hard and fast rules about the best way
to measure difficult concepts -- doing so is an art in itself. But the
standard procedure, and the one that usually works best, is to ask a number
of relatively specific, concrete questions and then average the answers.
For example in a study of voting behaviour, to discover what voters think
about government ownership, best practice is to ask a number of specific
questions about ownership of particular industries (electricity generation,
railways, steel manufacturing, cars, shops, farms, etc.) and then construct
a combined 'government ownership' scale from the answers. Analogously,
in a study of psychiatric depression, standard practice is to ask about
a long list of specific symptoms and then construct a summary scale from
the answers (Headey, Kelley and Wearing,
1993). Asking people a single, direct question is rarely the optimal
approach, save occasionally in areas where people have firm, long-standing
views on a simple black-and-white topic (for example, whether they support
the Labor Party or the Coalition). Genetic engineering is not such a topic.
An example may make the logic of the standard 'multiple item indicator'
approach clearer. Suppose you want to know how much people like French
Post-Impressionist paintings. The ways you can ask the question depend
on the knowledge and sophistication of the respondents
-
If you were dealing with people who know a lot about art -- for example,
people with a BA degree in art history -- a single, general question would
suffice: "How much do you like French Post-Impressionists?" To answer this,
respondents need to recall just who the Post-Impressionist painters were,
recall what their paintings look like, and decide how much they like the
paintings.
-
But most non-specialist university graduates have at best only a vague
idea about who the Post-Impressionists were, so it would be better to ask
them a number of more specific questions naming the particular painters
you are asking about: "How much do you like Bonnard's paintings?" "How
about Derain?" Etc. Then one can get a good idea of what respondents think
of Post-Impressionists by averaging their answers to the several questions.
To answer these questions, respondents need to recall what Bonnard and
Derain's paintings look like, and decide how much they like them.
-
But even these questions assume a fair level of knowledge, specifically
that respondents are familiar with (for example) a reasonable selection
of Bonnard's paintings and so can say whether they generally like them
or not; that they are familiar with a selection of Derain's paintings,
and so can rate them; and so forth. This may (or may not!) be reasonable
for the general run of university graduates. But for a normal, population
with only year 9 or year 12 schooling, it is not reasonable. For most people,
it would be much better to show several of Bonnard's paintings and ask
how much they liked each of them; then show some Derains, and ask about
them, and so forth. This does not require respondents to know which artists
are Post-Impressionists, nor to recall any of their pictures. Instead it
only requires them to look at pictures and decide how much they like them
-- a far easier task.
We have therefore adopted the third style -- the conventional multiple
indicator research -- in asking about genetic engineering. To answer these
questions, respondents do not have to know which scientific developments
they have heard about over the past few years involve genetic engineering,
nor do they have to recall unaided particular genetic engineering
projects that have been in the news over the past few years. They have
only to read the questions and respond to the particular, concrete proposals
in them -- a far easier task. In addition to clarity, asking questions
in this third style has several important analytic advantages:
-
First, it works perfectly well for sophisticated respondents as well as
unsophisticated respondents -- the art BAs in our example can perfectly
well answer a number 3 style question.
-
Second, it allows us to use sophisticated multivariate statistical procedures
to discover whether the concept 'liking Post-Impressionists" is empirically
a sensible one. For example, if (1) liking Bonard's "Landscape with Olive
Trees and a Chapel" is closely correlated with liking with his "The Blue
Balcony", correlated with liking Derain's "Trees by a Lake", and correlated
with liking other Post-Impressionist paintings, while at the same time
(2) liking these paintings is not so highly correlated with liking
Impressionist paintings, nor with lining Old Masters or Modern Art, then
(3) the concept seems sensible. But if liking the Post-impressionist paintings
is equally highly correlated with liking Impressionist paintings and also
with liking Modern Art, then the concept is too narrow -- it should be
'Impressionist, Post-Impressionist and Modern Art, perhaps. Or, analogously,
if liking Post-Impressionist landscapes is highly correlated with liking
landscapes from other periods but not with liking portraits of any period,
the whole concept needs re-thinking.
-
Third, using a multiplicity of questions reduces measurement error. If
we had asked only after "Landscape with Olive Trees and a Chapel" we would
be at the mercy of the myriad idiosyncratic factors that lead people to
like, or dislike, a particular painting. By asking about many paintings
from many artists, we average out these individual idiosyncrasies and get
more reliable measurement.
We have therefore adopted the usual -- and generally correct -- multiple
indicator strategy of asking about a number of particular, concrete instances
of genetic engineering. The particular instances are among those already
well into development in Australia and overseas (Australian
Science and Technology Council, 1993).
5.2 Introduction
to Genetic Engineering
The genetic engineering module required a lengthy introduction, because
our pre-test suggested that many people had not heard of it, and for many
others, a bit of reminding of what genetic engineering is about is useful
to focus their thoughts, to remind them of things they may have already
heard about (as most had), and to explain the topic to those previously
unacquainted with it. The introduction:
Genetic engineering is a new way to create new products. Scientists
can use genetic engineering on plants or animals to change things like
their size, colour, or taste. They do this by moving a gene from one kind
of animal or plant to another, or by turning a gene off.
Our double goal with this introduction was to maintain scientific accuracy
but also to make it readily accessible to respondents with little education.
We began with this general sketch of the technique, and then proceeded
to a particular concrete example, because people can always think better
with a concrete example to hand:
Recently, scientists have made an improved variety of tomato that
has a better texture, costs less, and might make a valuable export. They
turned off one of its genes, which would otherwise have made the tomato
go mushy.
After introducing the example, the introduction raises the key theme
of safety and danger that will echo through the rest of the examples in
the module:
After careful study, a government regulatory committee believes
that the new tomatoes are safe. Most scientists agree. But a few are worried
and some nation-wide environmental groups say the tomatoes might be dangerous
and should be banned.
This scenario sets up the actual situation in the recent U.S. introduction
of genetically engineered tomatoes, a scenario likely to be repeated in
Australia in coming years. At this stage the question is hypothetical --
the tomatoes are not yet on the Australian market and Australian regulatory
bodies have not been asked to evaluate them -- but hypothetical questions
are perfectly normal in politics and elsewhere, and usually pose respondents
no particular problems -- citizens are quite accustomed
to deciding about policies that do not exist and may never exist (for example,
the GST).
We closed the introduction with a reassuring sentence to re-affirm that
we were seeking everyone's opinion, not just the opinions of people who
consider themselves experts: "
Most people have not heard much about genetic engineering. We just
want your opinion, your best guess.
5.3 Levels of Approval
After introducing the topic of genetic engineering in this way, we then
asked several questions (described later) about genetically engineered
tomatoes, and concluded with a summary evaluation:
c. If clearly labeled, are these new tomatoes a good idea or a bad idea
Very good idea 17
Good idea 47
Mixed feelings, hard to say 28
Bad idea 5
Very bad idea 3
---
100% (mean= 63)

We went on to ask about 7 other genetic engineering projects that are
underway in Australia or overseas, or likely to be underway in the relatively
near future. We began with a general introductory phrase "Here are some
other things that scientists might make with genetic engineering...", and
then asked people to rate the desirability of a list of possible genetically
engineered products:
Here are some other things scientists might make with genetic
engineering...
e. A treatment that would save the lives of people who have blood cancer
Very good idea 65
Good idea 29
Mixed feelings, hard to say 5
Bad idea 1
Very bad idea 1
---
100% (mean= 89)
f. A genetically engineered drug that lowers blood pressure better
than other drugs, reducing the risk of heart attack
Very good idea ...etc...
(mean 87)
g. Genetically engineered cotton that resists insect pests -- this could
greatly reduce the use of chemical pesticides
Very good idea ...etc... (frequencies)
(mean 87 )
h. Genetically modified viruses to protect farm crops by attacking insect
pests, such as beetles and locusts
Very good idea ...etc...
(mean 76 )
i. Modified viruses to control imported animal pests (such as rabbits or
feral pigs) by preventing them from breeding
Very good idea ...etc...
(mean 76 )
j. Leaner, healthier pork (assuming it is clearly labeled, so you can decide
for yourself whether or not to buy it)
Very good idea ...etc...
(mean 73 )
k. Healthier cooking oil and margarine, with more of the desirable unsaturated
fats and fewer of the undesirable fats
Very good idea ...etc...
(mean 79 )
(Questionnaire)
(Frequencies)
Very few people were unable to form an opinion: only 3% of the sample
declined to answer these questions, on the average. That is about average
for the questionnaire -- perhaps rather lower than average -- and well
below the levels of "missing data" that occur on obscure topics (for example,
in another ISSS, we asked people to rate their feelings towards the Chinese
leader, Mr. Deng, and 25% declined to answer the question: Kelley,
1995b). In a paper-and-pencil format, there is no social pressure to
answer any question one would prefer to skip, so the low level of missing
data offers another sign that real public opinion on the topic exists.
5.3.1 Genetically engineered medicines
The public overwhelmingly supports trying to use genetic engineering to
make "A treatment that would save the lives of people who have blood cancer."
We offered five answer categories, and 64% of respondents declared that
trying to use genetic engineering to make a treatment for blood cancer
was a "Very good idea", and another 29% said a "Good idea". That makes
93% in favour. 5% had mixed feelings on the subject, 1% thought it "A bad
idea" and another 1% thought it a "Very bad idea". Scoring these answer
categories from 0 (a very bad idea) to 100 (a very good idea) gives us
a summary "desirability rating". Australians, on average, rate trying to
use genetic engineering to make a treatment for blood cancer at 89 points
out of 100.
There is also overwhelming support for trying to make "A genetically
engineered drug that lowers blood pressure better than other drugs, reducing
the risk of heart attack". 59% of the public found this a "Very good idea",
and 33% said a "Good idea". That makes 93% in favour. 6% had mixed feelings.
1% said a "Bad idea" and another 1% said a "Very bad idea". On average,
Australians rate a genetically-engineered blood-pressure drug at 87 points
out of 100.
5.3.2 Genetically Engineered Food
Using genetic engineering to make new foods also attracted substantial
support, provided that the new foods would be clearly labeled.
The public, on average, rated at 79 points out of 100 "Healthier cooking
oil and margarine, with more of the desirable unsaturated fats and fewer
of the undesirable fats." This is a high rating, although not so outstandingly
high as for the genetically engineered medicines. 40% said it was a "Very
good idea", another 42% said a "Good idea", 13% have mixed feelings, 2%
think its a bad idea, and 2% think its a "Very bad idea".
With a desirability rating of 73, "Leaner, healthier pork (assuming
that it is clearly labeled, so you can decide for yourself whether or not
to buy it)" is about three-quarters of the way towards being thought a
"very good idea". 29% think it is a "very good idea", and another 42% think
it is a "good idea". 19% have mixed feelings. 4% think it is a "Bad idea"
and 3% say a "Very bad idea".
The genetically engineered tomatoes that served as the example in the
introduction elicit a desirability rating of 67, still strongly favorable
but noticeably lower than other foods. "If clearly labeled, are these new
tomatoes a good idea or a bad idea?" 17% said a "Very good idea", 47% said
a "Good idea". 28% had mixed feelings. 6% thought these tomatoes a "Bad
idea" and 3% thought them a "Very bad idea".
5.3.3 Genetically Engineered Agricultural Products
"Genetically engineered cotton that resists insect pests -- this could
greatly reduce the use of chemical pesticides" attract a desirability rating
of 87 points out of 100. That is overwhelming support. Fully 59% of the
populace endorsed them as a "Very good idea" and another 34% found them
a "Good idea". 6% reported mixed feelings on genetically engineered cotton.
1% thought it a "Bad idea" and another 1% thought it a "Very bad idea".
The citizenry accords "Genetically modified viruses to protect farm
crops by attacking insect pests, such as beetles and locusts" a desirability
rating of 76 points out of 100. This is substantial support, although clearly
lower than for the pest-resistant cotton. 41% thought these viruses a "Very
good idea", and another 33% thought them a "Good idea". 18% had mixed feelings.
5% thought them a "Bad idea" and 3% thought them a "Very bad idea".
Australians have very similar views about "Modified viruses to control
imported animal pests (such as rabbits or feral pigs) by preventing them
from breeding": they give these contraceptive viruses, too, a desirability
rating of 76 points out of 100. 40% say these contraceptive viruses are
a "Very good idea", 34% think them a "Good idea". 17% had mixed feelings.
5% said these contraceptive viruses were a "Bad idea", and another 3% said
a "Very bad idea".
5.3.4 Summary: Desirability Ratings
Thus, the citizenry holds positive attitudes towards this entire array
of potential genetic engineering products: they range from moderately positive
to overwhelmingly positive. At the top are "A treatment that would save
the lives of people who have blood cancer" (89 points out of 100), "A genetically
engineered drug that lowers blood pressure better than other drugs, reducing
the risk of heart attack" (87 points), and "Genetically engineered cotton
that resists insect pests -- this could greatly reduce the use of chemical
pesticides" (87 points). A bit less popular, although still highly desirable
in the public mind are "Healthier cooking oil and margarine, with more
of the desirable, unsaturated fats and fewer of the undesirable fats" (79
points out of 100) "Genetically modified viruses to protect farm crops
by attacking insect pests, such as beetles and locusts" (76 points), and
"Modified viruses to control imported animal pests (such as rabbits or
feral pigs) by preventing them from breeding" (76 points). The populace
was a little less favorable towards "Leaner, healthier pork (assuming it
is clearly labeled, so you can decide for yourself whether or not to buy
it)", granting it a desirability rating of 73 points. There is still a
substantial majority support for the modified pork, with 73% thinking it
a "Good idea" or a "Very good idea". Support is lowest for the genetically
engineered tomato: Australians accord it a desirability rating of 67 points
out of 100. Even in this case, a clear majority are in favour, with 64%
declaring genetically engineered tomatoes to be a "Good idea" or a "Very
good idea".
It is clear the Australian public is broadly supportive of a wide range
of genetic engineering projects. The average level of support is 79 points
out of 100 -- so the average Australian rates the average genetic engineering
project just a shade more favorable than a "good idea".
5.3.5 Potential Bias in These Questions?
It is clear that there is substantial variation in the public's views about
different genetically engineered products. As in overseas studies, support
is overwhelming for medical uses, high for general agricultural uses, and
least for genetically modified foods. As a consequence, there is no entirely
unambiguous answer to the question "how supportive of genetic engineering
is the Australian public" -- it depends, in part, on which product you
have in mind.
This ambiguity is quite normal for public policy issues. For example,
there is no unambiguous answer to the question "how supportive of government
spending is the Australian public?". Instead the answer depends on what
the spending is for -- for example support is high for spending on education,
moderate for spending on unemployment benefits, and low for spending on
foreign aid.
Because of this variability, someone who wanted to paint an overly optimistic
picture of public reaction to genetic engineering could concentrate entirely
on medical uses and (correctly) report overwhelming support. But someone
who wished to paint an overly pessimistic picture could concentrate entirely
on food for human consumption, and (correctly) report only majority support,
with a substantial minority uncertain. And in the extreme, someone could
imagine a genetic engineering project with dubious goals, ask about it
in a survey, and report widespread opposition.
We have chosen a middle road, reporting the average for a range of realistic
projects which are already underway in Australia or overseas, eschewing
the wild dreams of genetic engineering visionaries but also the dark scenarios
of genetic engineering's most imaginative foes.
There is, however, one way in which our choice of questions has perhaps
slightly tipped the scales against genetic engineering: our principal
example, the genetically engineered tomato, is the least popular product
on our list, and so, if anything, gives a slightly unfavourable introduction
to the topic. A more neutral choice would have been one of the agricultural
products , and a more favorable choice would be one of the medical products.
We thought the simplicity and familiarity of tomatoes (and the fact that
they are among the first genetically engineered products to reach the market
overseas) outweighed this slight disadvantage.
5.4 Structure of Opinion
on Genetic Engineering
A factor analysis shows that people who favour one genetic engineering
product tend strongly to favour all of them, and conversely those who are
dubious about one tend to be dubious about all. This justifies combining
them into a single scale for subsequent analysis:
[Definition] Attitudes to Genetic Engineering = mean( Good
vs. bad rating for: cancer treatment, blood pressure medicine, pest resistant
cotton, viruses to protect crops, viruses against animal pests, new tomatoes,
leaner pork, cooking oil with unsaturated fats)
There is some evidence of modest differences among these, particularly
between medical products on the one hand and agricultural and food products
on the other. But in the interest of simplicity, we ignore these differences
here.
5.5 Summary: Approval
The Australian public is broadly supportive of a wide range of genetic
engineering projects. The average Australian rates the average genetic
engineering project as a "good idea".
The most popular genetic engineering products are a treatment for blood
cancer, a drug that lowers blood pressure, and cotton that resists insect
pests. More than 90% of Australians favour these. Then comes healthier
cooking oil, genetically modified viruses to protect farm crops by attacking
insect pests, and viruses to control imported animal pests and lean pork.
Support is lowest for the genetically engineered tomato but even here a
clear majority is in favour, 64% declaring them to be a "good idea" or
a "very good idea" so long as they are clearly labeled.
To top of page
To next chapter
Table of Contents