MétaCan
Menu
Retour à la cohorte
Enregistrement W2049291744 · doi:10.1080/09644010600562625

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

2006· article· en· W2049291744 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

fundUn bailleur canadien est enregistré sur le travail.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueEnvironmental Politics · 2006
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueGenetically Modified Organisms Research
Établissements canadiensnon disponible
Organismes subventionnairesInstitute of GeneticsChinese Academy of Agricultural SciencesMinistry of Science and Technology of the People's Republic of ChinaChinese Academy of Sciences
Mots-clésChinaAgricultureAgricultural biotechnologyState (computer science)Corporate governancePoliticsTransparency (behavior)Developing countryPolitical scienceBiotechnologyEconomic growthEconomicsManagementLawBiology

Résumé

récupéré en direct d'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).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,783
Score d'incertitude au seuil0,374

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,197
Écart entre enseignants0,191 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle