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Record W2049291744 · doi:10.1080/09644010600562625

Balancing technological innovation and environmental regulation: an analysis of Chinese agricultural biotechnology governance

2006· article· en· W2049291744 on OpenAlex
James F. Keeley

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnvironmental Politics · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
FundersInstitute of GeneticsChinese Academy of Agricultural SciencesMinistry of Science and Technology of the People's Republic of ChinaChinese Academy of Sciences
KeywordsChinaAgricultureAgricultural biotechnologyState (computer science)Corporate governancePoliticsTransparency (behavior)Developing countryPolitical scienceBiotechnologyEconomic growthEconomicsManagementLawBiology

Abstract

fetched live from OpenAlex

Abstract China faces particular challenges in governing GMOs. In relation to technology development it has a ‘first-world’ level of technical capacity. In other respects, however, it faces a series of challenges more characteristic of a developing country. These include managing a very large smallholder sector, limited administrative capacity in some areas, and a political system where there are clear limits on the degree of debate and transparency around controversial issues. The Chinese case is also special in that the initiative for developing GM crops has largely come from the state, and technologies have in the main been developed by state institutes. At the same time the state has had to manage international processes around GMOs, along with domestic regulation and risk assessment. This article examines how China manages these different roles. It analyses how different biotechnology discourses play out through these institutional arrangements in case studies of Bt cotton and GM rice. Acknowledgements Thanks to Peter Newell, Jillian Popkins and Graeme Smith and anonymous reviewers for comments on an earlier version of this paper. The author is responsible for the final version. This paper draws on research material from the DFID-funded project ‘Biotechnology Policy Processes in Developing Countries’. Notes 1. San nong (three ‘nongs’: nongmin, nongye, nongcun) is a common rural development policy term referring to farmers, agriculture and rural areas. 2. Deng Xiaoping for instance was quoted as saying: ‘Solving tomorrow's agricultural problems in the end will come down to biotechnology, to relying on the most sophisticated technologies’ (863 Committee, Citation2001: 36). 3. Interviews with officials in the Ministry of Science and Technology suggest that the proposed development of the Star Wars missile defence system was a key stimulus. 4. http://english.sina.com/china/1/2005/0519/31660.html 5. China Daily (2002) Nation to draft laws on biosafety, 8 April. More recently a statement was made on the SEPA Biodiversity website, ‘Our country will implement a GMO biosafety law’, 19 May 2005 (‘Wo guo jiang zhiding: “Zhuan jiyin shengwu anquan fa”’) (http://www.biodiv.gov.cn/swdyx/144398862075822080/20050520/7840.shtml). 6. SEPA official, personal communication (2004). 7. Hajer illustrates his argument using a case study of acid rain in UK and the Netherlands. He argues that two key coalitions are identifiable: a traditional pragmatist coalition and an ecological modernisation coalition. For analysis of the role of discourse coalitions in environmental policy processes see Keeley and Scoones (Citation2003). 8. Personal communication, Chinese policy researcher, Beijing (2003). 9. The exact extent of Monsanto's influence is hard to gauge. Interviews with individual Chinese scientists suggest that informal links to Monsanto through study tours, periods of study at universities in the US, joint authorship of articles with Monsanto staff, or personal links with Chinese Monsanto employees can be quite strong. These links are generally not publicised. More generally foreign companies can push for influence through foreign trade talks. In relation to the trade in GM soya foreign companies were able to put substantial pressure on the Chinese government through US Secretaries for Trade and Agriculture. 10. Personal communication, Chinese ecological scientist (2002). Transparency in relation to funding proposals has been a problem and something that the Ministry of Science and Technology now claims to be addressing (see SciDevNet (2004) ‘China to make research funding more transparent’, 15 September). 11. Personal communications, Biosafety Committee member and SEPA official, Beijing (2002 and 2003). 12. ‘GM cotton has become the “miracle crop” of China since its commercial growth was first permitted in 1996, and more than a half of China's cotton is now GM. One of the main reasons for this success, say its advocates, it that it has both helped farmers to cut their production costs by an average of almost 30 per cent, and reduce their exposure to chemicals' (SciDevNet (2004) ‘China urged to step up GM efforts’, 5 March). 13. See, for example, SciDevNet (2004) ‘China urged to step up GM efforts’, 5 March; The Economist (2002) ‘Biotech's yin and yang’, 12 December. 14. GM maize and soya bean imports are permitted, but only in processed form. 15. For maize multinationals such as Monsanto, Syngenta and DuPont would be in a more competitive position relative to Chinese researchers. In wheat, technologies are less developed. 16. See The Economist (2005) ‘Genetically modified rice’, 28 April; SciDevNet (2005) GM rice ‘good for Chinese farmers’ health and wealth’, 29 April. 17. The varieties are Xianyou-63 an insect-resistant Bt rice developed by Zhang Qifa, and Youming-86 (insect resistant with the CPTI gene) developed by Zhu Zhen (Huang et al., Citation2005). 18. The Economist (2004) ‘Soya on rice to go: Brazil and China are set to commercialise genetically modified crops’, 18 November. 19. Interview with Cheng Jinggen, Biosafety Office, Ministry of Agriculture (2002). 20. See SciDevNet (2005) ‘China to assess claim illegal rice entered the food chain’, 14 April; Greenpeace report available at http://www.greenpeace.org/international/news/scandal-greenpeace-exposes-il 21. Rice biotechnologist and Biosafety Committee member Jia Shirong comments: ‘We have environmental safety reports. What is more, when we give the go-ahead China will take a cautious attitude, approving on a province-by-province basis, guaranteeing that GM rice varieties will not out-cross’ (Liu, Citation2004). 22. Personal communication, Biosafety Committee member, Beijing (2002).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.197
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it