|
||||
Department of Agriculture and Food Systems
|
||||
|
|
Agribusiness Review - Vol. 3 - 1995Paper 7 Prospects for the commercial use of transgenic plants:
|
Relative advantage:
|
Risk:
|
Compatibility:
|
Complexity:
|
Trialability:
|
Observability:
|
Source: Constructed.
The considerable extent of debate over transgenics, which is occurring, reflects the potentially dramatic impact of this technology. It seems most appropriate that these sometimes contentious issues are considered pro-actively rather than relying solely on a reactive approach following any problems, which may occur. This pro-active and anticipatory approach is in line with the precautionary principle, as described in the 1992 Australian Inter-Governmental Agreement on the Environment.
Since the pioneering work of Dillman (1978) telephone surveys have become an important social science research tool. A telephone survey approach was chosen as it allowed a cost-effective way of achieving a high response rate from a geographically dispersed sample in a limited time. The sample chosen comprised participants in a series of workshops, facilitated by the Cooperative Research Centre for Tropical Pest Management, on topics associated with issues related to insects and weeds. About two-thirds of the sample were interested primarily in insects and the remainder were primarily interested in weeds. The sample was mainly located in Queensland, but also extended to New South Wales and Victoria. Telephone contact numbers for this sample were readily available, and it was decided that up to five calls would be made to each number in an effort to secure a response.
The survey questionnaire included an introductory paragraph explaining the meaning of the term 'transgenic plant'. In the context of the survey a transgenic plant was defined as "a crop plant which has been genetically-engineered to give either insect-resistance or herbicide-tolerance". Following this, respondents were asked to evaluate their own level of knowledge about transgenics on a scale from 'none/very low' to 'very high'. Responses to this question served to filter out those considered to have insufficient (none/very low) knowledge to answer further questions about transgenics. Respondents who gave an indication of having adequate knowledge were then asked several open-ended questions about sources of knowledge about transgenics. One of these questions asked about knowledge of current field trials in Australia. For each of the open-ended questions the interviewer probed for comprehensive information but did not prompt the respondent with possible answers. Respondents were given every opportunity to say "don't know" to questions which they were simply unable to answer.
Other questionnaire items mainly explored attitudes to the issues shown in Table 1 about the wider use of transgenic plants. These key issues were framed in terms of 16 statements using a six point agree/disagree (Linkert) response format. The statements were phrased so that a similar number were positively worded and negatively worded to avoid bias. This series of statements was repeated by the interviewer for both herbicide-tolerant and insect-resistant plants in turn.
Finally, the questionnaire contained demographic questions about occupation educational level and gender of the respondent. Several supplementary questions related to the future role to be played by the CRC for Tropical Pest Management, the number of years working in pest management, and any further comments which the respondent wished to make. Preliminary data analysis was carried out using the Microsoft Access database, and the SAS software package was used for statistical calculations.
In December 1994 and January 1995 a total of 259 telephone calls were made to 103 different work contact numbers. In five cases the telephone was disconnected or engaged, in eight cases there was no answer, and in 27 cases the person sought was not available (usually because that person was away on leave). Only three people contacted refused to be interviewed, and only one interviewee broke off the interview part way through. Fifty-nine interviews were completed. The effective survey response rate was calculated as the total number of completed interviews, divided by the total number plus refusals and incomplete interviews. This worked out to be 93.7 per cent (59/63 multiplied by 100) and was considered to be a very high response rate, thus minimising bias due to non-response.
In December 1994 and January 1995 a total of 259 telephone calls were made to 103 different work contact numbers. In five cases the telephone was disconnected or engaged, in eight cases there was no answer, and in 27 cases the person sought was not available (usually because that person was away on leave). Only three people contacted refused to be interviewed, and only one interviewee broke off the interview part way through. Fifty-nine interviews were completed. The effective survey response rate was calculated as the total number of completed interviews, divided by the total number plus refusals and incomplete interviews. This worked out to be 93.7 per cent (59/63 multiplied by 100) and was considered to be a very high response rate, thus minimising bias due to non-response.
Table 2 : Responses to demographic and situational questions (N=46)
Demographic / situational variable | Response categories | Response | |
(N) | (%)(a) | ||
Knowledge level: | Low | 15 | 32 |
Medium | 22 | 48 | |
High | 8 | 17 | |
Very high | 1 | 2 | |
Years in pest management: | Less than 1 | 3 | 7 |
1 to5 | 5 | 11 | |
5 to 10 | 7 | 15 | |
More than 10 | 31 | 67 | |
Occupation: | Farmer/consultant | 14 | 30 |
Researcher/scientist | 18 | 39 | |
Extension/advisory | 14 | 30 | |
Education level reached: | Primary/lower secondary | 5 | 11 |
Upper secondary | 16 | 35 | |
Tertiary | 25 | 54 | |
Gender: | Male | 38 | 83 |
Female | 8 | 17 |
(a): Percentages in this and other tables may not total 100 due to rounding.
Thirteen of the 59 respondents, as a result of the filter question on knowledge levels were not taken through the complete questionnaire. Five of these thirteen had not heard about the development of transgenic plants for pest management and the other eight assessed their level of knowledge on the subject to be "very low". Interestingly, all of these 13 had had an interest in the pest management area for more than five years and so their self-assessed very low knowledge level could not be attributed to general inexperience. However, most were farmers or other field personnel who did not focus solely on pest management issues and had an education level of grade 10 or less.
Table 2 shows a demographic breakdown (by occupation, educational level, gender) and situation breakdown (by knowledge level, years in pest management) for the 46 respondents who completed the full questionnaire. As shown, most of these respondents had tertiary education and more than ten years experience in pest management. Only eight of the 46, however, assessed their knowledge levels about transgenics to be high' or 'very high'. The 46 were quite evenly distributed across the occupational categories of researcher/scientist, farmer/consultant (which also included a few other non-research industry people), and extension/advisory (which also included miscellaneous other personnel). Despite conscientious efforts to interview as many females as possible this proved to be difficult due to the preponderance of males working in pest management and only eight females completed the full questionnaire.
Number of respondents | ||||
Source (N=46) | Main source (multiple response possible) | Most important source (single response) | ||
Contact with researchers/colleagues | 41 | (32%) | 20 | (45%) |
Conferences/meetings | 11 | (9%) | 8 | (17%) |
Academic journals | 27 | (21%) | 6 | (13%) |
Seminars/courses | 16 | (13%) | 4 | (9%) |
Research publications from Govt. agencies | 4 | (3%) | 4 | (9%) |
Industry journals | 11 | (9%) | 2 | (4%) |
Field trials/field days | 3 | (2%) | 1 | (2%) |
Other | 2 | (2%) | 1 | (2%) |
Newspapers | 5 | (4%) | ||
Books/magazines | 4 | (3%) | ||
TV / radio | 3 | (2%) | ||
Total | 127 | 46 |
All 46 respondents who completed the full questionnaire were asked about their main sources of information about transgenic plants and an average of slightly less than three answers per respondent was received. Responses (from more to less frequent) included contact with researchers/colleagues, academic journals, conferences/meetings, seminars/courses and others as detailed in column one of Table 3. Column two of Table 3 refers to information sources seen as the single most important. Again contact with researchers/colleagues was by far the most important, this time followed by conferences/meetings, academic journals, and others as shown.
One interesting finding here was that no respondents nominated mass media information sources (newspapers, TV, radio, etc.) as their single most important. The general trend is clearly toward word-of-mouth sources and away from mass media. This is in line with many other studies, which have shown that mass media are good for raising awareness about new technologies but interpersonal communication is much more salient and better at changing attitudes ( Rogers 1983).
Each of the occupational groups reported that talking to researchers/colleagues was the most important source of information. Researchers/scientists also relied heavily on academic journals while farmers also relied on conferences/meetings.
In terms of educational levels, talking to colleagues and researchers was once again seen by all categories as the most important source of information. The second most important source for graduates was conferences and meetings; for postgraduates it was academic journals.
Forty two per cent of males and half of the females cited researchers/colleagues as their most significant source of information about transgenic plants. For females this was followed by academic journals (38 per cent) and for males, conferences and meetings (21 per cent).
By far the most widely known trials of Australian transgenic plants, named by 72 per cent of the sample, were in Bt cotton. This result is attributed to the relatively high proportion of respondents interested in insects and the high profile that these trials have enjoyed. Trials of potatoes with leaf roll virus resistance were the next most widely known with 22 per cent of respondents indicating awareness. Thirteen per cent of respondents were unable to name a specific trial which they had heard of or read about, the majority of these respondents evaluated their level of knowledge as 'low' and this lent some credibility to their self assessment.
Responses to 16 attitudinal statements, derived from issues identified in Table I. about herbicide-tolerant plants were obtained using a six-point Likert scale. Responses ranged from 'strongly agree 1 (rated one on the scale) to 'strongly disagree' (rated five) with a midpoint of 'neither agree nor disagree'. A response of 'don't know' was also available for those respondents who had no opinion on a specific issue. Analysis mainly involved calculating the mean score and standard deviation based on the first five points of the scale, as shown in columns one and two of Table 4, while column three shows the number of 'don't knows' registered for each statement.
On this basis, respondents as a whole strongly agreed that herbicide-tolerant plants could easily be trialed on a small-scale. There was slight agreement that herbicide-tolerant plants would be suitable for a range of crops, would contribute to sustainable agriculture, had largely unknown associated risks, and would significantly reduce agricultural production costs. There was slight disagreement with the statement that herbicide-tolerant plants were incompatible with 'clean and green' agriculture, and strong disagreement that they were incompatible with 'PM and were a threat to the survival of the family farm.
Table 4 : Attitudes towards herbicide-tolerant plants
Statement and category (N=46) | Mean(a) | Standard deviation(a) | Don't know |
---|---|---|---|
Strong Agreement | |||
Easy to trial on a small scale | 1.3 | 0.6 | 2 |
Slight Agreement | |||
Would suit many different types of crops | 1.9 | 1.2 | 4 |
Will contribute to sustainable agriculture | 2.2 | 1.4 | 1 |
Environmental risks are largely unknown | 2.3 | 1.4 | 2 |
Will significantly reduce agricultural production costs | 2.4 | 1.3 | 3 |
Mixed Opinion | |||
Difficult to observe use on a particular farm | 2.0 | 1.4 | 5 |
Will reduce pesticide use | 2.8 | 1.5 | 3 |
Large scale use is complex to manage | 3.0 | 1.6 | 4 |
Slight Disagreement | |||
Incompatible with Australia's 'clean and green' image in agriculture | 3.6 | 1.4 | 0 |
Strong Disagreement | |||
Threat to the survival of the family farm | 4.3 | 1.1 | 7 |
Incompatible with integrated pest management (IPM) | 4.7 | 0.6 | 3 |
Unknown | |||
Use in food crops is compatible with a healthy diet | 2.2 | 1.3 | 10 |
Will quickly become obsolete as resistance develops | 2.9 | 1.3 | 9 |
Will mean large increases in agricultural productivity | 3.0 | 1.3 | 6 |
Poses a threat to biodiversity | 3.5 | 1.4 | 7 |
Easy to understand how they work | 3.8 | 1.3 | 6 |
(a): Calculated for responses based on a scale of one (strongly agree) to five (strongly disagree).
Three other statements had a high standard deviation, combined with a significant number of 'don't know' responses, indicative of a wide range of views and these statements are categorised in Table 4 as 'mixed opinion'. Closer examination of the difference of the demographic group means (using the t-test) of the mixed opinion classification gave very little indication of possible causes for the wide range of responses. A comparison of mean responses by number of years in pest management and level of knowledge was also scrutinised but again no significant differences were apparent between categories within groups. The variation in responses on the mixed opinion statements therefore seemed to be randomly distributed across the sample and could not be easily explained by variables related to demographics or the respondent's situation.
Statement and category | Mean value(a) |
|
Male | Female | |
Environmental | ||
Will contribute to sustainable agriculture | 2.0(b) | 3,3(b) |
Environmental risks are largely unknown | 2.3 | 2.0 |
Will reduce pesticide use | 2.8 | 3.1 |
Poses a threat to biodiversity | 3,7(h) | 2.5(b) |
Economic | ||
Will significantly reduce agricultural production costs | 2.3 | 3.1 |
Will mean large increases in agricultural productivity | 2.9 | 3.3 |
Managerial | ||
Will quickly become obsolete as resistance develops | 2.9 | 2.9 |
Easy to trial on a small scale | 1.4 | 1.0 |
Would suit many types of crops | 1.7 | 2.6 |
Difficult to observe if in use on a particular farm | 2.1 | 2.0 |
Large scale use is complex to manage | 3.0 | 3.0 |
Easy to understand how they work | 3.8 | 4.0 |
Incompatible with integrated pest management (IPM) | 4.7 | 4.4 |
Social | ||
Threat to the survival of the family farm | 4.3 | 4.4 |
Use in food crops is compatible with a healthy diet | 2.0(b) | 3.0(b) |
Incompatible with Australia's 'clean and green' image in agriculture | 3.8(b) | 2.5(b) |
a): Calculated for responses based on a scale of one (strongly agree) to five (strongly disagree). (b): Significant difference at the p<0.05 level using the t-test
Five other statements in Table 4 reflected a high proportion of 'don't knows' in conjunction with a high standard deviation and these have been labelled as 'unknown'.
Almost 25 per cent of respondents did not know if the use of transgenics was compatible with a healthy diet or whether transgenics may quickly become obsolete due to resistance of pest populations. These views were not associated with any particular demographic or situational group.
A gender breakdown was done with statements arranged by environmental, economic, managerial, and social grouping (Table 5). Alter studying mean values it was clear that more negative responses from female respondents were evident for all but three statements. A more sceptical attitude from females was most clear for social and environmental issues with statistically significant differences on four of these statements at the p<O.05 level.
Statement and category (N=46) | Mean(a) | Standard deviation(a) | Don't know |
---|---|---|---|
Strong Agreement | |||
Will reduce pesticide use | 1.5 | 1.0 | 1 |
Will contribute to sustainable agriculture | 1.7 | 1.2 | 1 |
Would suit many different types of crops | 1.7 | 1.2 | 1 |
Slight Agreement | |||
Difficult to observe if in use on a particular farm | 2.0 | 1.4 | 1 |
Environmental risks are largely unknown | 2.1 | 1.3 | 2 |
Will significantly reduce agricultural production costs | 2.2 | 1.4 | 3 |
Mixed Opinion | |||
Easy to trial on a small scale | 2.3 | 1.5 | 4 |
Will mean large increase in agricultural productivity | 2.5 | 1.5 | 5 |
Large scale use is complex to manage | 3.2 | 1.8 | 2 |
Easy to understand how they work | 3.5 | 1.5 | 3 |
Poses a threat to biodiversity | 3.8 | 1.5 | 3 |
Strong Disagreement | |||
Incompatible with Australia's clean and green' image in agriculture | 4.3 | 1.1 | 0 |
Threat to the survival of the family farm | 4.5 | 0.9 | 2 |
Incompatible with integrated pest management (IPM) | 4.8 | 0.7 | 0 |
Unknown | |||
Use in food crops is compatible with a healthy diet | 2.0 | 1.2 | 8 |
Will quickly become obsolete as resistance develops | 2.4 | 1.3 | 7 |
(a): Calculated for responses based on a scale of one (strongly agree) to five (strongly disagree)
As shown in Table 6, respondents as a whole strongly agreed that insect-resistant plants would reduce pesticide use, contribute to sustainable agriculture and are suitable for many types of crops. They slightly agreed that it would be difficult to observe if insect-resistant plants were in use, that the environmental risks are largely unknown and that a reduction in costs would be a result of use. There was strong disagreement that insect-resistant plants are incompatible with a 'clean and green' image of agriculture, are incompatible with 'PM and represent a threat to the survival of the family farm.
Statement and category | Mean value(a) |
|
Male | Female | |
Environmental | ||
Will contribute to sustainable agriculture | 1.6 | 2.4 |
Environmental risks are largely unknown | 2.2 | 1.8 |
Will reduce pesticide use | 1.3(b) | 2.4(b) |
Poses a threat to biodiversity | 3.9 | 3.4 |
Economic | ||
Will significantly reduce agricultural production costs | 1.9(b) | 3.6(b) |
Will mean large increases in agricultural productivity | 2.3(b) | 3.6(b) |
Managerial | ||
Will quickly become obsolete as resistance develops | 2.6 | 1.6 |
Easy to trial on a small scale | 2.3 | 2.3 |
Would suit many different types of crops | 1.6 | 2.3 |
Difficult to observe use on a particular farm | 2.1 | 1.6 |
Large scale use is complex to manage | 3.2 | 3.3 |
Easy to understand how they work | 3.7 | 2.8 |
Incompatible with integrated pest management | 4.8 | 4.5 |
Social | ||
Threat to the survival of the family farm | 4.5 | 4.5 |
Use in food crops is compatible with a healthy diet | 1.8(b) | 3.1(b) |
Incompatible with Australia's 'clean and green' image in agriculture | 4.4 | 3.9 |
(a): Calculated for responses based on a scale of one (strongly agree) to five (strongly disagree). (b): Significant difference at the p<0.05 level using the t-test.
Five statements had such a varied response across the sample that they were classified as 'mixed opinion'. This response variation could not be explained by occupation, education or gender. The high number of no 'opinion' responses on compatibility with a healthy diet and development of resistance led to a classification of 'unknown'.
As for herbicide-tolerant plants, a further breakdown by gender of all statements displayed by economic, social, environmental and managerial categories was carried out for insect-resistant plants. Once again there are clear differences in the attitudes of male and female respondents, as illustrated in Table 7. There is a more questioning acceptance of biotechnology by female respondents (evident from more negative responses to the majority of statements) with some statistically significant differences in the environmental, social and economic categories.
Statement and category | Factor loading | Innovation attribute |
---|---|---|
Factor 1: Relative advantage | ||
Will significantly reduce agricultural production costs | 0.836 | Relative advantage |
Will mean large increases in agricultural productivity | 0.737 | Relative advantage |
Will contribute to sustainable agriculture | 0.591 | Relative advantage |
Will reduce pesticide use | 0.554 | Relative advantage |
Factor 2: Mainly risk | ||
Poses a threat to biodiversity | 0.772 | Risk |
Poses a threat to family farm survival | 0.657 | Risk |
Would Suit many different types of crops | -0.501 | Compatibility |
Factor 3: Mainly compatibility | ||
Incompatible with Australia's 'clean and green' image in agriculture | 0.751 | Compatibility |
Use in food crops is compatible with a healthy diet | 0.709 | Compatibility |
Will reduce pesticide use | 0.531 | Relative advantage |
Factor 4: Mainly Complexity | ||
Environmental risks are largely unknown | 0.589 | Complexity |
Easy to trial on a small scale | -0.536 | Trialability |
Large scale use is complex to manage | 0.464 | Complexity |
Easy to understand how they work | -0.358 | Complexity |
Factor 5: Observability | ||
Difficult to observe use on a particular farm | 0.460 | Observability |
Factor 6: Compatibility | ||
Incompatible with integrated pest management | 0.535 | Compatibility |
The central purpose of factor analysis is to explore interrelationships among a large number of variables and summarise these in a concise manner as an aid to conceptualisation. Factor analysis of the responses to the 16-attitudinal statements was carried out in an attempt to explore the efficacy of the theoretical innovation attribute dimensions discussed in the literature review section of this paper. 'Varimax' and 'promax' rotations (see Tabachnick and Fidell 1989) were carried out for both herbicide-tolerant and insect-resistant plant data. In each case the level of sampling adequacy was calculated to be slightly above the 0.5 minimum value generally considered appropriate for factor analysis ( Child 1990). The 'varimax' rotation results were easiest to interpret and are the only ones reported here.
The insect-resistant plant data factorised reasonably well into the innovation attributes as summarised in Table 8.. Only the most important statements (with higher positive or negative factor loadings) contributing to each factor are shown; statements with factor loadings within the range from -0.40 to +0.40 were considered to be of limited importance and have been discarded from the set. Obviously the distinction between the innovation attributes is in some cases blurred as evidenced by some overlap in most factors. It should also be noted that the Table 7 statement will quickly become obsolete as resistance develops failed to load significantly into any of the factors. The statement will reduce pesticide use loaded into both factors one and three.
The results of the factor analysis for herbicide-tolerant plants provided a similar, but less distinctive pattern, with more blurring between the factors. This result may be related to the limited knowledge that respondents had about herbicide-tolerant plants, discussed in the next section.
Respondents' level of knowledge about herbicide-tolerant plants was generally much lower than for insect-resistant plants, which is un-surprising given the professional interests and geographical distribution of the sample, mentioned earlier. In all there were 65 'don't know' responses to attitudinal statements about herbicide-tolerant plants compared to 41 'don't know' responses to statements about insect resistance. 'Don't know' responses were markedly higher for herbicide-tolerant plants in the specific areas of suitability for a wide range of crops, increased agricultural productivity, ease of understanding, threat to biodiversity, compatibility with a healthy diet and development of resistance. Clearly, then, there are a substantial number of pest managers who were uncertain about some of the wider impacts of transgenic plants and who are likely to need more information about these issues.
Respondents' level of knowledge about herbicide-tolerant plants was generally much lower than for insect-resistant plants, which is un-surprising given the professional interests and geographical distribution of the sample, mentioned earlier. In all there were 65 'don't know' responses to attitudinal statements about herbicide-tolerant plants compared to 41 'don't know' responses to statements about insect resistance. 'Don't know' responses were markedly higher for herbicide-tolerant plants in the specific areas of suitability for a wide range of crops, increased agricultural productivity, ease of understanding, threat to biodiversity, compatibility with a healthy diet and development of resistance. Clearly, then, there are a substantial number of pest managers who were uncertain about some of the wider impacts of transgenic plants and who are likely to need more information about these issues.
The number of attitudinal statements attracting a strong response from most respondents on herbicide-tolerance (2) was much lower than for insect-resistance (5). The number of statements for herbicide-tolerant plants classified as unknown (5) was higher than for insect-tolerance (2). Again these trends reflect respondents' higher level of familiarity with issues pertaining to insect-resistant plants.
Most respondents felt strongly that herbicide-tolerant plants are easy to trial on a small scale, are no threat to the family farm, and are compatible with IPM. They strongly believed that the use of insect-resistant plants:
Respondents were generally unsure about whether the use of herbicide-tolerant and insect-resistant plants for food production would contribute to a healthy diet, or whether pest resistance would lead to early obsolescence. Again these are key areas where pest managers are likely to want more information in the future.
This paper represents another step towards better understanding the 'human dimension' associated with the commercialisation of transgenic plants for crop protection in Australia. Interest from pest management professionals in the topic of transgenic plants was found to be very high, and the telephone survey method was quite effective, as shown by the low refusal rate and several requests for a copy of the survey findings. However, only 76 per cent of those contacted appeared to have adequate knowledge about transgenics to complete the full questionnaire. So there is clearly considerable scope for stepping-up marketing and educational activities about transgenic plants, especially for those professionals (such as farmers) who have pest management as one interest among many. Personal communication, especially contact with researchers/colleagues, was the main source of information used by respondents, and the interpersonal approach is likely to be more effective a~ attitude development and change than the mass media. These findings therefore provide general guidance on marketing/educational strategies which may be useful to both agribusiness and other organisations such as the new Gene Technology Information Unit funded by the Australian Government ( Schacht 1995). A follow-up survey could canvass views about (and guide) specific future strategies associated with key variables such as price. promotion, and distribution channels for transgenic plants.
The clear message from respondents is that transgenic plants should be seen as part of an IPM package, and not as a 'magic bullet' solution to pest management problems. There were also some anecdotal comments to the effect that 'PM may become more important with the introduction of transgenic plants. This reflects the general feeling that transgenic plants will not herald a totally new era for agriculture, but rather that they are simply another important tool to be used in the fight against pests and weeds. In this context some respondents expressed concern about the possible indiscriminate use of the Bt gene in transgenic cotton plants which could result in the build-up of pest resistance and the loss of a valuable bio-technological resource. Some of these general findings reflect sentiments recently expressed by the Queensland Agricultural Biotechnology Centre (1995), and hopefully the proposed Gene Technology Authority will give these. Certainly the cotton industry is actively exploring industry-wide technical management options for the commercial release of Bt cotton (see, for example, mart 1995).
Survey results showed that significant gender differences were evident in attitudes towards transgenic plants. Although the proportion of female respondents was small, some statistically significant findings were evident and data suggested that the attitudes of females surveyed were generally more negative and sceptical. Zechendorf 's (1994) summary of biotechnology surveys found that "relatively higher degrees of risk are perceived by women" and cited a 1991 Swiss survey as evidence of this. Gender differences in attitudes toward agricultural biotechnology deserve further exploration, perhaps through more survey work or intensive interviews.
Apart from surveys, participatory workshops may also be used to build on existing survey findings to better understand some of the complex 'people issues' associated with implementing pest management strategies to improve field results. A workshop, which brings together some of the pest managers surveyed and other stakeholders with an interest in the use of transgenics would be useful. A participatory workshop approach would promote the interpersonal and interactive communication, which appears to be central to attitude formation, and coordinated action. Such workshops could be conducted on a regional basis, could focus on particular cropping industries, and a range of stakeholders. A suggested workshop theme could be the use of transgenics in IPM, and some of the non-technical issues highlighted in this paper could be discussed in this context. The process used by The CRC for Tropical Pest Management in facilitating pest management workshops which result in practical action plans for the future ( Foster , Brough & Norton 1994) indicates how these workshops could be conducted. Participatory workshops about agro-biotechnology have also been successfully used overseas (see for example National Agricultural Biotechnology Council 1993).
On a slightly different tack, O'Keeffe and Manifold (1995) explained that the general innovation attributes discussed above give some indication of the likely maximum level and rate of adoption of innovations and so are a useful tool in helping to assess potential market returns. The factor analysis carried out clearly shows that relative advantage, compatibility and risk are important attributes influencing the acceptance of insect resistant plants and gives some indication of the applicability and importance of other attributes. This information, in conjunction with traditional benefit-cost analysis, could provide a sound basis for a comprehensive market analysis for insect resistant plants, which would provide agribusiness corporations with an estimate of potential future returns on funds invested in research and development.
Australian Gen-Ethics Network, (1992) The Troubled Helix, Volumes one and two, Australian Conservation Foundation, Melbourne.
Australian Gen-Ethics Network, (1994) The Troubled Helix, Volume three, Australian Conservation Foundation, Melbourne.
Australian Science and Technology Council (ASTC), (1993) Gene Technology:
Issues for Australia, Occasional paper No.27, Canberra: AGPS.
Brough E, Foster J, and Norton G, (in press) 'Transgenic Plants: A Challenge for Integrated Pest Management', Australasian Biotechnology.
Child D, (1990) The Essentials of Factor Analysis, Cassell, London.
CSIRO , (1992) Towards a Cleaner Environment, Division of Plant Industry, Canberra.
Dillman D A, (1978) Mail and Telephone Surveys, John Wiley & Sons, New York
Fayle D, and Payne M, (1994) 'Biotechnology in Australia in 1993', Australasian Biotechnology, 4(6), December, pp.325-332.
Fliege l F C, (1993) Diffusion Research in Rural Sociology: The Record and Future Prospects, Greenwood Press, London.
Foster J, Brough E, and Norton G, (1994) 'Integrated Pest Management in Australia:
Making it Happen', Agricultural Science, September, 7(5), pp. 39- 42 .
Gotsch N, and Rieder P, (1995) 'Biodiversity, Biotechnology, and Institutions among Crops: Situation and Outlook', Journal of Sustainable Agriculture, 5(1/2), pp.5-40.
Could F, (1988) 'Genetic Engineering, Integrated Pest Management and the Evolution of Pests', Trends in Ecology and Evolution, 3, pp.515-518.
Healy M P, (1991) Strategic Technologies for Maximising the Competitiveness of Australia's Agriculture-based exports, Information Paper No. lP2/1991, Bureau of Rural Resources, Canberra.
Hindmarsh R, (1991) 'The Flawed "Sustainable" Promise of Genetic Engineering', The Ecologist, 21(5) September/October, pp. 196-205.
Hindmarsh R, (1992) 'Agricultural Biotechnologies: Ecosocial Concerns for a Sustainable Agriculture', in Lawrence, F Vanclay, and B Furze, Agriculture, Environment and Society: Contemporary Issues for Australia, MacMillan, South Melbourne, pp.278-303.
Hindmarsh R, Lawrence G, and Norton J, (1995) 'Manipulating Genes or Public Opinion?', Search, 26(4), pp.117-121.
Kelley J, (1995a) Public Perceptions of Genetic Engineering: Australia, 1994, The Australian National University, Canberra.
Kelley J, (1995b) 'Australian Support for Genetic Engineering', Search, 26(5), pp.141-144.
Lawrence G, (1984) 'Sunrise on the Corporate Farm', Chain Reaction, 36, pp.18-22.
Lawrence G, and Norton J, (1994) 'Industry Involvement in Australian Agro-biotechnology: The Views of Scientists', Australasian Biotechnology, 4(6), pp. 362-368.
Lawrence G, and Vanclay F, (1993a) 'Biotechnology and Globalisation: The Contribution of Biotechnology to Agro-food Restructuring in Australia', presented at the European Congress of Rural Sociology, Wageningen, The Netherlands, August.
Lawrence G, and Vanclay F, (1993b) 'Agro-biotechnologies in Australia: Attitudes of Scientists to Biotechnology's Likely Social/Structural Impacts', presented at the 56th annual meeting of the Rural Sociological Society, Florida, August.
Lawrence G, McKenzie H, and Vanclay F, (1993) 'Biotechnology in Australian Agriculture: The Views of Farmer Representatives', Prometheus, 11(2), December, pp.234-251.
Mannion A M, (1995) 'Agriculture, Environment and Biotechnology', Agriculture, Ecosystems & Environment, 53, pp.31-45.
McLean C, (1993) Australian Research on Genetically Modified Organisms for Use in Agriculture, working paper, Bureau of Resource Sciences, Canberra.
McLean C D, Evans G, and Rowland P (1995) 'Herbicide Resistant Crops and their Place in Australian Agriculture', Agricultural Science, 8(2), pp.4547.
McLean G D, and Nicholls T J, (1992) 'The Use of Genetically Modified Organisms in Australian Agriculture', Australasian Biotechnology, June, 2 (3), pp. 172-174.
Mussared D, (1994) 'Time for politicians to engineer a genetics debate', Canberra Times, September 10.
National Agricultural Biotechnology Council (1993) Agricultural Biotechnology: A Public Conversation about Risk, NAB C, New York.
OECD (1993a) Field Releases of Transgenic Plants, J986-]992: An Analysis, OECD Paris.
OECD (1993b) Safety Considerations for Biotechnology: Scale-up of Crop Plants, OECD, Paris.
O'Keeffe M, and Manifold F, (1995) 'Estimating the Market Potential of Innovations. Agricultural Science, 8(3), May, pp.36-40.
Ostlund L K, (1974) 'Perceived Innovation Attributes as Predictors of Innovativeness Journal of Consumer Research, 1, pp.23-29.
Parliament of the Commonwealth of Australia, (1992) Genetic Manipulation; The Threat or the Glory, Report by the House of Representatives Standing Committee on Industry, Science and Technology, AGPS, Canberra.
Paterson I, (1994) 'Genetic Engineering: The Next Farm Revolution', Australian Farm Journal, February, pp.16-21.
Prime Minister's Science and Engineering Council, (1993) Gene Technology, Department of the Prime Minister and Cabinet, Canberra.
Queensland Agricultural Biotechnology Centre, (1995) 'Pesticides, Herbicides, Genes and 1PM', Just Genes Newsletter, 3(1) p.4.
Rogers E M, (1983) Diffusion of innovations, 3rd edition, Free Press, New York.
Schacht C, (1995) 'Gene Technology Unit will Foster Informed Debate', media release 114/95, Minister for Small Business, Customs and Construction, Canberra.
Schibeci R, Barns I, Davison A, and Kennealy 5, (1994) Public Perceptions of Biotechnology: First Report, Murdoch University, Perth.
Schmidt K, (1995) 'Whatever Happened to the Gene Revolution?', New Scientist, 145(1959), 7th January, pp.21-25.
Tabachnick B G, and Fidell L 5, (1989) Using Multivariate Statistics, second edition, Harper Collins, London.
Tait J, (1990) Biotechnology - Interactions between Technology, Environment and Society, Commission of the European Communities, Belgium.
Tuart L, (1995) 'A Possible Bt Management Strategy', The Australian Cotton Grower, 16(3), May/June, p.36.
US Office of Technology Assessment (1989) New Developments in Biotechnology:
Patenting Life Special Report, OTA-BA-370, US Government printing office, Washington.
Young D, (1995) 'Pay-offs to agricultural genetic engineering research', Outlook '95 Conference Proceedings, Vol.2, pp.51-58.
Zechendorf B, (1994) 'What the Public Thinks About Biotechnology', Biotechnology, 12(9), September, pp.870-875.
Contact the University : Disclaimer & Copyright : Privacy : Accessibility |
Date Created: 03 June 2005 |
The University of Melbourne ABN: 84 002 705 224 |