| Literature DB >> 32617264 |
Rim Lassoued1, Diego Maximiliano Macall1, Stuart J Smyth1, Peter W B Phillips2, Hayley Hesseln1.
Abstract
The adoption of genome editing depends among others, on a clear and navigable regulatory framework that renders consistent decisions. Some countries like the United States decided to deregulate specific transgene-free genome edited products that could be created through traditional breeding and are not considered to be plant pests, while others are still challenged to fit emerging technologies in their regulatory system. Here we poll international experts in plant biotechnology on what approach should nations agree upon to accommodate current and future new breeding technologies and derived products. A key finding is product-based models or dual-product/process systems are viewed as potential appropriate frameworks to regulate outcomes of genome editing. As regulation of novel products of biotechnology is expected to impact research and trade, we test the impact of experts' worldviews on these issues. Results show that region influences worldviews of trade but not of agricultural innovation. In contrast, there was no effect of experts' worldviews on how products of novel biotechnologies should be regulated.Entities:
Keywords: CJEU ruling; Food security; Genome editing; Innovation; Trade; Worldviews
Year: 2020 PMID: 32617264 PMCID: PMC7322807 DOI: 10.1016/j.btre.2020.e00460
Source DB: PubMed Journal: Biotechnol Rep (Amst) ISSN: 2215-017X
The three dimensions of worldviews in a global political economy world.
| The | The | The |
|---|---|---|
| Prioritization of the state/nationalism | Prioritization of the individual/individualism | Prioritization of groups/group identity |
| State power | Economic power | Relational power between groups |
| Politics over economics | Economics over politics | Conflictual view of politics and economics |
| Mercantilist view | Laissez-faire view | Dependency-based view |
| State-driven process of innovation and economic development | Market-driven process of innovation and economic development | The need for socially-directed goals for innovation and economic development |
Source: Adapted from Cohn [52] and Gilpin [51].
Associated with policies which restrict imports (tariff/non-tariff barriers, quotas), increase stocks of gold and protects domestic industries.
Free market with less governmental involvement.
Resources flow from undeveloped states to wealthy nations, enriching the latter at the expense of the former.
Worldview survey questions on trade and R&D.
| Topic | Worldview | ||
|---|---|---|---|
| Realist | Liberal | Critical | |
| It has some benefits but should be limited where it causes domestic problems (e.g. regional unemployment, security risks, or erosion of national sovereignty). | It increases overall wellbeing and states should trade as openly with one another. | It primarily benefits those who are already wealthy, deprives working people of their jobs, and perpetuates dependence and underdevelopment in poorer countries. | |
| My government should invest heavily and take a large role in setting the R&D and innovation agenda. | Most impactful R&D and innovation takes place in the private sector and the agenda should be determined | R&D and innovation should be aimed primarily at addressing social issues. | |
Expert comments underlying their motives for opposing the 2018 CJEU ruling.
| Perceived problems with the EU system | Politics vs Science |
|---|---|
| The problem lies with the | The ruling is based on |
Respondents’ familiarity with biotech regulation, segmented by region and expertise (% of total).
| Regions | Total | Expert groups | ||||
|---|---|---|---|---|---|---|
| NA | Europe | ROW | Scientific | Social | ||
| Not at all/Slightly familiar | 8 | 2 | – | 3 | 7 | |
| Moderately familiar | 14 | 9 | 8 | 24 | 7 | |
| Very/Extremely familiar | 18 | 23 | 18 | 44 | 15 | |
| Total | 40 | 34 | 26 | 71 | 29 | |
| Chi-square statistic | χ² = 11.087, p = .026 | χ² = 11.236, p = .004 | ||||
Note: To increase the cell count, the scale options “Very familiar” and “Extremely familiar” were grouped together. Similarly for “not at all familiar” and “Slightly familiar”.
Critical factors related to the use of NBTs to develop new crops.
| List of critical factors | Score (%) |
|---|---|
| Public attitudes to public confusion about food safety and health risks | 38 |
| Cost of regulatory approval | 34 |
| Market access/trade rules | 32 |
| Cost of international biosafety compliance | 29 |
| Confidence in the science of modern genome-specific technologies | 21 |
| Cost to develop new variety | 21 |
| Consistency between domestic regulatory authorities | 19 |
| Rules related to environmental protection | 16 |
| Cost for firm compliance with risk management | 13 |
| Consistency between products | 12 |
The percent score is a weighted sum value (%) of the 5 ranked responses where 1st, 2nd, 3rd, 4th and 5th choices were weighted 0.5, 0.4, 0.3, 0.2 and 0.1, respectively.
Expert opinion on how NBTs should be regulated by region and by background (% of responses).
| Approach | Region | Total | Expert group | |||
|---|---|---|---|---|---|---|
| NA | Europe | ROW | Scientific | Social | ||
| Process-based regulation | 2.5 | 2.5 | 1 | 4 | 2 | |
| Product-based regulation | 23 | 19 | 17 | 43 | 16 | |
| Hybrid regulation | 10 | 10 | 6 | 15 | 11 | |
| Tailored regulation | 3 | 2 | 1 | 6 | – | |
| Other | 1 | 1 | 1 | 3 | – | |
| 39.5 | 34.5 | 26 | 100 | 71 | 29 | |
| Chi-square statistic | χ² = 2.001; df = 8; p = .981 | χ² = 7.142; df = 4; p = .129 | ||||
Factors that can improve transparency around biotech regulation: expert responses (%).
| Not at all important | Slightly important | Moderately important | Very important | Extremely important | |
|---|---|---|---|---|---|
| Efforts of regulators to communicate/report on own activities | 1 | 6 | 18 | 45 | 30 |
| Academic involvement | 0 | 3 | 23 | 40 | 34 |
| Farmers/growers involvement | 2 | 7 | 23 | 45 | 23 |
| Public engagement/consumer consultation | 3 | 10 | 22 | 46 | 19 |
| Voluntary corporate commitment | 2 | 16 | 26 | 41 | 15 |
| Access through freedom of information requests | 10 | 13 | 28 | 35 | 14 |
| NGO participation | 10 | 21 | 43 | 19 | 7 |
| Relaxed confidential business information | 15 | 22 | 37 | 18 | 8 |
Note: Each row sums to 100 %.
Participants’ worldviews of trade by region and by expertise.
| Worldviews | Region | Expert group | ||||
|---|---|---|---|---|---|---|
| NA | Europe | ROW | Total | Scientific | Social | |
| Realist | 8 | 13 | 12 | 27 | 6 | |
| Liberal | 34 | 22 | 11 | 43 | 24 | |
| 42 | 35 | 23 | 70 | 30 | ||
| Chi-square statistic | χ² = 8.075; df = 2; | χ² = 3.438; df = 1; p = 0.064 | ||||
We could have realist and critical WV responses merged together as both views are less optimistic (more pragmatic) compared to the liberal view regarding trade. In Table 8, we did not account for the critical responses (4%) as the proportion is insignificant.
Participants’ worldviews of R&D and innovation by region and by expertise.
| Worldviews | Region | Expert group | ||||
|---|---|---|---|---|---|---|
| NA | Europe | ROW | Total | Scientific | Social | |
| Realist | 20 | 21 | 13 | 37 | 17 | |
| Liberal and Critical | 20 | 13 | 13 | 34 | 12 | |
| 40 | 34 | 26 | 71 | 29 | ||
| Chi-square statistic | χ² = 1.008; df = 2; p = .604 | χ² = 0.242; df = 1; p | ||||
For statistical reasons (i.e. relatively balanced groups), liberal and critical responses were merged. We believe this is reasonable as both views consider more the social inclusion compared to the realist view regarding R&D and innovation.
The effect of trade and R&D worldviews on regulatory decision-making.
| Approach | Worldviews on trade | Total | Worldviews on R&D | ||
|---|---|---|---|---|---|
| Realist | Liberal | Realist | Liberal/Critical | ||
| Process-based regulation | 1 | 5 | 6 | 3 | 3 |
| Product-based regulation | 17 | 41 | 58 | 31 | 27 |
| Hybrid regulation | 12 | 15 | 27 | 16 | 11 |
| Tailored regulation | 2 | 4 | 6 | 3 | 3 |
| Other | 1 | 2 | 3 | 1 | 2 |
| 33 | 67 | 100 | 54 | 46 | |
| Chi-square statistic | χ² = 3.189; df = 4; p = .527 | χ² = 1.353; df = 4; p = .852 | |||