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Enregistrement W4407729965 · doi:10.46690/elder.2024.04.02

Promoting environmental sustainability through interorganisational education: A network analysis of China’s blue sky action plan

2024· article· en· W4407729965 sur OpenAlexaboutno aff
Zhen Tian, Rui Hu

Notice bibliographique

RevueEducation and lifelong development research. · 2024
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueEnvironmental Education and Sustainability
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSustainabilityChinaAction planAction (physics)Plan (archaeology)BusinessSkyPolitical scienceManagementGeographyEconomicsEcologyMeteorology

Résumé

récupéré en direct d'OpenAlex

This study offers a micro analytical framework for examining air quality governance in China's rapidly growing megacities, shedding light on the multi-scalar, multi-sectoral learning that shape collaborative environmental policymaking at the local level. Drawing upon a blended methodology of social network analysis and semantic network analysis, the paper presents a granular, empirically-grounded account of the institutional arrangements, policy instruments, and discursive frames underlying Shenzhen's comprehensive approach to tackling air pollution challenges. The findings demonstrate the highly educated and coordinated nature of the city-level environmental governance strategy, which harnesses a diverse array of collaborative learning platforms, development-oriented education, and large-scale infrastructure projects across key sectors such as transportation, industry, and urban planning. This study contributes to elucidate the contextual factors, institutional configurations, and interorganizational learning that shape the evolution of collaborative environmental governance in diverse urban settings across the developing world. Cited as: Tian, Z., Rui, H. (2024) Promoting environmental sustainability through interorganisational education: A network analysis of China’s blue sky action plan. Education and Lifelong Development Research, 1(4): 156-165. https://doi.org/10.46690/elder.2024.04.02 References Addie, J.P.D., (2013). Metropolitics in motion: The dynamics of transportation and state reterritorialization in the Chicago and Toronto city-regions. Urban geography, 34(2), pp.188-217. Agostinis, G., & Urdinez, F. (2024). The nexus between authoritarian and environmental regionalism: An analysis of China's driving role in the Shanghai cooperation organization. In Sustainable Development, Regional Governance, and International Organizations (pp. 38-52). Routledge. Arantes, V., Zou, C., & Che, Y. (2020). Coping with waste: A government-NGO collaborative governance approach in Shanghai. Journal of environmental management, 259, 109653. Chen, Y., Yeh, A.G. and Zhang, Y., (2017). Political tournament and regional cooperation in China: a game theory approach. The Annals of Regional Science, 58(3), pp.597-622. Coenen, J., Bager, S., Meyfroidt, P., Newig, J., & Challies, E. (2021). Environmental governance of China's belt and road initiative. Environmental Policy and Governance, 31(1), 3-17. Cui Jing and Wang Xingxi, (2020). Institutional collective action, inter-governmental collaboration and economic growth: The case of the Chengdu-Chongqing urban agglomeration. Public Management and Policy Review, 9(4), pp.27-39. Deng, M., & Zhang, A. (2020). Effect of transaction rules on enterprise transaction costs based on Williamson transaction cost theory in Nanhai, China. Sustainability, 12(3), 1129. Dolan, D.A., (1990). Local government fragmentation: Does it drive up the cost of government?. Urban Affairs Quarterly, 26(1), pp.28-45. Dowding, K. (1995). Model or metaphor? A critical review of the policy network approach. Political studies, 43(1), 136-158. Elden, S. (2022). The state of territory under globalization: Empire and the politics of reterritorialization. In Territories, Environments, Politics (pp. 15-36). Routledge. Feng, Y., Wang, X., & Hu, S. (2021). Accountability audit of natural resource, air pollution reduction and political promotion in China: Empirical evidence from a quasi-natural experiment. Journal of Cleaner Production, 287, 125002. Gao, D., Li, G., & Li, Y. (2022). Government cooperation, market integration, and energy efficiency in urban agglomerations—based on the quasi-natural experiment of the Yangtze River Delta Urban Economic Coordination Committee. Energy & Environment, 33(8), 1679-1694. Ge, T., Hao, X., & Li, J. (2021). Effects of public participation on environmental governance in China: A spatial Durbin econometric analysis. Journal of Cleaner Production, 321, 129042. Howlett, M., & Rayner, J. (2013). Patching vs packaging in policy formulation: Assessing policy portfolio design. Politics and Governance, 1(2), 170-182. Hung, R. (2019). Chinese ecological pedagogy: Humanity, nature, and education in the modern world. Educational Philosophy and Theory, 51(11), 1073-1079. Klemow, K., Berkowitz, A., Cid, C., & Middendorf, G. (2019). Improving ecological education through a four‐dimensional framework. Frontiers in Ecology & the Environment, 17(2). Kostka, G., & Nahm, J. (2017). Central–local relations: Recentralization and environmental governance in China. The China Quarterly, 231, 567-582. Lee, J., & Son, J. (2017). The effects of consumer innovativeness on mobile app download: Focusing on comparison of innovators and noninnovators. Mobile Information Systems, 2017. Lihua, W. U., Tianshu, M. A., Yuanchao, B. I. A. N., Sijia, L. I., & Zhaoqiang, Y. I. (2020). Improvement of regional environmental quality: Government environmental governance and public participation. Science of the Total Environment, 717, 137265. Liang, Q., Hu, H., Wang, Z., & Hou, F. (2019). A game theory approach for the renegotiation of Public-Private Partnership projects in Chinese environmental and urban governance industry. Journal of cleaner production, 238, 117952. Liu, J., Li, W., & Wu, J. (2018). A framework for delineating the regional boundaries of PM2. 5 pollution: A case study of China. Environmental pollution, 235, 642-651. Liu, Y., Zhang, Y., Zhao, X., Farnoosh, A., & Ma, R. (2024). Synergistic effect of environmental governance instruments embedded in social contexts: A case study of China. Ecological Economics, 220, 108153. Jiang, Q., & Tang, P. (2023). All roads lead to Rome? Carbon emissions, pollutant emissions and local officials’ political promotion in China. Energy Policy, 181, 113700. Jian Xue, Laijun Zhao, Longzhen Fan & Ying Qian (2015) An interprovincial cooperative game model for air pollution control in China, Journal of the Air & Waste Management Association, 65:7, 818-827 Mu, R., & Cui, T. (2024). Facilitating inter-municipal collaboration through mandated collaborative platform: evidence from regional environmental protection in China. Public Management Review, 26(6), 1684-1705. Sommerer, T., & Lim, S. (2016). The environmental state as a model for the world? An analysis of policy repertoires in 37 countries. Environmental politics, 25(1), 92-115. Steinebach, Y. (2022). Instrument choice, implementation structures, and the effectiveness of environmental policies: A cross‐national analysis. Regulation & Governance, 16(1), 225-242. Stokes, L. C. (2020). Short circuiting policy: Interest groups and the battle over clean energy and climate policy in the American States. Oxford University Press, USA. Shen, C., Li, S., Wang, X., & Liao, Z. (2020). The effect of environmental policy tools on regional green innovation: Evidence from China. Journal of Cleaner Production, 254, 120122. Shenzhen Ecological Environment Bureau. (2022). Shenzhen Blue Sustainable Action Plan (2022-2025). Retrieved November 2024, from https://sf.sz.gov.cn/attachment/0/945/945959/9550144.pdf Tabassum, S., Pereira, F. S., Fernandes, S., & Gama, J. (2018). Social network analysis: An overview. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(5), e1256. W.Q. Wu, M. Zhang, Y.T. (2020). DingExploring the effect of economic and environment factors on PM2.5 concentration: a case study of the Beijing-Tianjin-Hebei regionJ. Environ. Manag., 268, p. 110703 Wang, N., & Chang, Y. C. (2014). The development of policy instruments in supporting low-carbon governance in China. Renewable and Sustainable Energy Reviews, 35, 126-135. Wang, X. and Zhou, D., (2021). Spatial agglomeration and driving factors of environmental pollution: A spatial analysis. Journal of Cleaner Production, 279, p.123839. Xu, S., Zheng, S., Huang, Z., Song, L., Long, Y., Zhan, X., ... & Zheng, C. (2022). Assessing progress towards sustainable development in Shenzhen 2005–2019. Journal of Cleaner Production, 349, 131496. Yi, H., Suo, L., Shen, R., Zhang, J., Ramaswami, A., & Feiock, R. C. (2018). Regional governance and institutional collective action for environmental sustainability. Public Administration Review, 78(4), 556-566. Zhao, J., Kou, L., Wang, H., He, X., Xiong, Z., Liu, C. and Cui, H., (2022). Carbon Emission Prediction Model and Analysis in the Yellow River Basin Based on a Machine Learning Method. Sustainability, 14(10), p.6153. Zhan, J. V., & Qin, S. (2017). The art of political ambiguity: top–down intergovernmental information asymmetry in China. Journal of Chinese Governance, 2(2), 149-168. Zhang, C., & Zhu, Y. (2020). The interest group theory of financial development in China: Openness and the role of interest groups. The World Economy, 43(4), 982-999.

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.

Comment cette classification a été obtenuedéplier

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)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,274
Score d'incertitude au seuil0,997

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
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 savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,025
Tête enseignante GPT0,344
Écart entre enseignants0,319 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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