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The hidden mechanism under the policies: governance logic and network of the collaborative governance of air pollution control in the CCEC, China

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Abstract

This paper analyzed 632 cross-regional collaborative air governance policy texts from 2000 to 2021, summarizing the collaborative governance model of air pollution in the Chengdu-Chongqing Economic Circle (CCEC). The study employed co-word clustering and social network analysis with the help of Nvivo12 and Gephi to analyze both the external and internal attributes of policy texts policies. These two methods, quantitative and qualitative, are employed in combination to address the inherent limitations of each. This approach allows for a more comprehensive and in-depth study, resulting in stronger and more robust results. We found that: (1) Policy texts embody the “Five Development Concepts” and adopt the principle of adapting measures to local conditions when using policy tools; (2) The interaction frequency among the four major engines in the governance mechanism exceeds 50% of the total interaction frequency within the governance network. The governance structure exhibits characteristics of a pyramid shape, with dominance by specialized and high-level units; (3) Apart from fluctuations in the average weighted degree and network density, all other indicators are increasing. This indicates that the governance network in CCEC is gradually expanding without sacrificing network density. In the process of governance network expansion in the CCEC, there is a pattern of initially increasing the network's scale and subsequently consolidating and improving network density. Building on these findings, this article summarizes the governance characteristics of the CCEC and proposes a set of Chinese solutions that balance economic development and ecological protection, along with policy recommendations that have strong reference significance for many underdeveloped and developing inland regions.

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Data availability

The policy data used to support the findings of this study are available from the corresponding author upon request.

References

  • Almetwally, A. A., Bin-Jumah, M., & Allam, A. A. (2020). Ambient air pollution and its influence on human health and welfare: An overview. Environmental Science and Pollution Research, 27, 24815–24830.

    Article  Google Scholar 

  • Ansell, C., & Gash, A. (2008). Collaborative governance in theory and practice. Journal of Public Administration Research and Theory, 18(4), 543–571. https://doi.org/10.1093/jopart/mum032

    Article  Google Scholar 

  • Bisht, Y. S. (2023). Sustainable material selection. In Progress in sustainable manufacturing (pp. 11–29). Springer, Singapore.

  • Bisht, Y. S., Kumar Shah, S., & Singh Rana, V. (2023). Road map for ethanol blending & prospective scope towards sustainable development in Indian scenario. Materials Today: Proceedings, S2214785323014219. https://doi.org/10.1016/j.matpr.2023.03.375

  • Chen, S., & Liu, N. (2022). Research on citizen participation in government ecological environment governance based on the research perspective of “dual carbon target.” Journal of Environmental and Public Health, 2022.

  • Chen, Q., & Shen, T. T. (2022). A study on the evolution of China’s science and technology innovation policy system—A quantitative analysis based on 157 policy texts from 1978 to 2020. China Science and Technology Forum, 12, 35–46. https://doi.org/10.13580/j.cnki.fstc.2022.12.007

    Article  Google Scholar 

  • Chen, S., & Chen, D. (2018). Haze pollution, government governance, and high-quality economic development. Economic Research, 53(02), 20–34.

    CAS  Google Scholar 

  • Chen, X., Li, J., Liu, Q., Luo, H., Li, B., Cheng, J., & Huang, Y. (2022). Emission characteristics and impact factors of air pollutants from municipal solid waste incineration in Shanghai China. Journal of Environmental Management, 310, 114732.

    Article  CAS  Google Scholar 

  • Cheshmehzangi, A., Tang, T. (2022). Chengdu–Chongqing city cluster: From an economic zone to a major economic circle in the western China. In: China’s city cluster development in the race to carbon neutrality (pp. 77–92). Singapore: Springer

  • Chow, J., Du, C. D., & Wu, X. (2023). Uncertainty and collaborative governance: The role of science in combating shipping air pollution in Hong Kong and the greater bay area, China. Journal of Environmental Policy & Planning, 25(1), 29–41.

    Article  Google Scholar 

  • Cooper, H. M. (1998). Synthesizing research: A guide for literature reviews (Vol. 2). Sage.

    Google Scholar 

  • de Lima, F. R. P., Da Silva, A. L., Godinho Filho, M., & Dias, E. M. (2018). Systematic review: Resilience enablers to combat counterfeit medicines. Supply Chain Management: An International Journal, 12(3), 117–135.

    Article  Google Scholar 

  • Deng, X., Liang, L., Wu, F., Wang, Z., & He, S. (2022). A review of the balance of regional development in China from the perspective of development geography. Journal of Geographical Sciences, 32(1), 3–22.

    Article  Google Scholar 

  • Denyer, D., & Tranfield, D. (2009). Producing a systematic review. Sage.

    Google Scholar 

  • Feng, T., Du, H., Lin, Z., & Zuo, J. (2020). Spatial spillover effects of environmental regulations on air pollution: Evidence from urban agglomerations in China. Journal of Environmental Management, 272, 110998.

    Article  CAS  Google Scholar 

  • Fischl, M., Scherrer-Rathje, M., & Friedli, T. (2014). Digging deeper into supply risk: A systematic literature review on price risks. Supply Chain Management: An International Journal, 19(5/6), 480–503.

    Article  Google Scholar 

  • Gou, K., & Liu, Y. (2022). Study on the policy of air pollution control in Chengdu–Chongqing economic circle, China. Energy Reports, 8, 68–76.

    Article  Google Scholar 

  • Huang, C. (2016). Quantitative research on policy literature. Science Press.

    Google Scholar 

  • Huang, C., Ren, T., & Zhang, J. (2015a). Quantitative research in policy literature: A new direction for public policy research. Journal of Public Administration, 2(129–137), 158–215.

    Google Scholar 

  • Huang, C., Zhao, P. Q., & Li, J. (2015b). A quantitative analysis of China’s science and technology innovation policy changes based on co-word analysis. Chinese Administration, 09, 115–122.

    Google Scholar 

  • Iyer, S. R., Balashankar, A., Aeberhard, W. H., Bhattacharyya, S., Rusconi, G., Jose, L., Soans, N., Sudarshan, A., Pande, R., & Subramanian, L. (2022). Modeling fine-grained spatio-temporal pollution maps with low-cost sensors. Npj Climate and Atmospheric Science, 5(1), 76.

    Article  CAS  Google Scholar 

  • Jiang, G. J., & Yuan, Z. (2022). The operation mechanism and governance logic of air quality point manager system: An example of air quality point manager system in Y district of C city. Administrative Forum, 05, 127–137. https://doi.org/10.16637/j.cnki.23-1360/d.2022.05.010

    Article  Google Scholar 

  • Kheirbek, I., Ito, K., Neitzel, R., Kim, J., Johnson, S., Ross, Z., Eisl, H., & Matte, T. (2014). Spatial variation in environmental noise and air pollution in New York city. Journal of Urban Health, 91, 415–431.

    Article  Google Scholar 

  • Liu, H. J., & Qiao, L. C. (2021). Spatial interaction impact network and bilateral cooperative governance of air pollution in China and Europe—An empirical study based on big data causal inference technique. Statistical Research, 02, 45–56. https://doi.org/10.19343/j.cnki.11-1302/c.2021.02.004

    Article  Google Scholar 

  • Liu, P., Li, X., & Wang, L. (2015). Research on social network analysis software - computer science. (12), 171–174.

  • Liu, Y., & Ye, Q. (2022). Motivation and capacity: A policy study on collaborative air pollution management in the Chengdu plain economic zone. Public Management and Policy Review, 06, 49–58.

    Google Scholar 

  • Lv, H., Xu, S., Liu, Y., & Luo, W. (2022). Evaluation and comparison of air pollution governance performance: An empirical study based on Jiangxi province. Sustainability, 14(22), 15397.

    Article  CAS  Google Scholar 

  • Manisalidis, I., Stavropoulou, E., Stavropoulos, A., & Bezirtzoglou, E. (2020). Environmental and health impacts of air pollution: A review. Frontiers in Public Health, 8, 14. https://doi.org/10.3389/fpubh.2020.00014

    Article  Google Scholar 

  • Pedroso, C. B., Tate, W. L., da Silva, A. L., & Carpinetti, L. C. R. (2021). Supplier development adoption: A conceptual model for triple bottom line (TBL) outcomes. Journal of Cleaner Production, 314, 127886.

    Article  Google Scholar 

  • Qian, Q., & Zhu, M. (1985). Chinese theme vocabulary indexing handbook. Beijing: Science and Technology Literature Publishing House.

    Google Scholar 

  • Sun, W. T., Tang, S. L., Duan, J. G., & Yang, L. (2023). Exploration of the evolutionary path of China’s Chinese herbal medicine industry policy based on co-word analysis. China Health Economics, 01(9), 13–18.

    Google Scholar 

  • Suo, L. M., & Kan, Y. Q. (2021). Understanding the diversity of collaborative air pollution management organizations in China: Typological differences and selection logic. Journal of South China Normal University, 03(113), 127–207.

    Google Scholar 

  • Tao, P. (2014). From localization to collaborative governance: The transformation of the Beijing Tianjin hebei air pollution control model. Hebei Law, 32(10), 120–129.

    Google Scholar 

  • Torraco, R. J. (2005). Writing integrative literature reviews: Guidelines and examples. Human Resource Development Review, 4(3), 356–367.

    Article  Google Scholar 

  • Tranfield, D., Denyer, D., Marcos, J., & Burr, M. (2004). Co-producing management knowledge. Management Decision. https://doi.org/10.1108/00251740410518895

    Article  Google Scholar 

  • Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375

    Article  Google Scholar 

  • Verbeek, T., & Hincks, S. (2022). The ‘just’management of urban air pollution? A geospatial analysis of low emission zones in Brussels and London. Applied Geography, 140, 102642.

    Article  Google Scholar 

  • Wang, Y., & Zhao, Y. (2021). Is collaborative governance effective for air pollution prevention? A case study on the Yangtze river delta region of China. Journal of Environmental Management, 292, 112709.

    Article  Google Scholar 

  • Weiwei (2019) Analysis of environmental cooperative governance network of urban agglomerations and its influencing factors (Master’s thesis, University of Electronic Science and Technology). https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CMFD202001&filename=1019850680.nh.

  • Yan, H., Song, Q., Tian, D., & Zhu, X. (2020). Preliminary study on performance management and assessment mechanism of natural resources in the Yangtze River Delta region. Environmental Protection, 48(16), 51–55.

    Google Scholar 

  • Yang, X., Wu, H., Ren, S., Ran, Q., & Zhang, J. (2021b). Does the development of the internet contribute to air pollution control in China? Mechanism discussion and empirical test. Structural Change and Economic Dynamics, 56, 207–224.

    Article  Google Scholar 

  • Yang, Y., Zhao, L., Wang, C., & Xue, J. (2021a). Towards more effective air pollution governance strategies in China: A systematic review of the literature. Journal of Cleaner Production, 297, 126724.

    Article  Google Scholar 

  • Zeng, W., Chen, X., Dong, H., & Liu, Y. (2023). Doing more with less: How to design a good subgroup governance model for the air pollution transport network in “2+ 26” cities of China? Journal of Environmental Management, 327, 116909.

    Article  CAS  Google Scholar 

  • Zhang, L., & You, Y. (2019). The evolutionary process and governance logic of China’s environmental economic policy. East China Economic Management, 07, 34–43. https://doi.org/10.19629/j.cnki.34-1014/f.180913005

    Article  Google Scholar 

  • Zhang, P., & Wu, J. (2020). Performance targets, path dependence, and policy adoption: Evidence from the adoption of pollutant emission control policies in Chinese provinces. International Public Management Journal, 23(3), 405–420.

    Article  CAS  Google Scholar 

  • Zhang, X., Han, L., Wei, H., Tan, X., Zhou, W., Li, W., & Qian, Y. (2022). Linking urbanization and air quality together: A review and a perspective on the future sustainable urban development. Journal of Cleaner Production, 346, 130988.

    Article  CAS  Google Scholar 

  • Zheng, S. M., & He, Y. J. (2021). Institutions, incentives and behavior: Explaining the multiple logics of regional environmental governance: The case of air pollution control in the Pearl river delta. Social Science Research, 04, 55–66.

    Google Scholar 

  • Zheng, S.-M., Peng, R., & Gao, C.-Y. (2019). The logic and outlook of environmental policy changes in China—based on co-word and cluster analysis. Journal of Jishou University, 02, 7–20. https://doi.org/10.13438/j.cnki.jdxb.2019.02.002

    Article  Google Scholar 

  • Zhou, M. M. (2020). Research on the structure of the network of collaborative air pollution management in the Yangtze river delta city cluster. Journal of Chongqing Institute of Science and Technology, 04, 62–66. https://doi.org/10.19406/j.cnki.cqkjxyxbskb.2020.04.015

    Article  Google Scholar 

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Funding

Humanities and Social Sciences Research Fund of Ministry of Education, 18YJC630105, Yan Liu, Social Science Fund of the Science and Technology Department of Sichuan Province, 2021JDR0218, Yan Liu.

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  1. School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China

    Keyi Gou & Yan Liu

  2. Chengdu Research Institute, University of Electronic Science and Technology of China, Chengdu, 610200, Sichuan, China

    Yan Liu

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  1. Keyi Gou
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Correspondence to Yan Liu.

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Gou, K., Liu, Y. The hidden mechanism under the policies: governance logic and network of the collaborative governance of air pollution control in the CCEC, China. Environ Dev Sustain (2024). https://doi.org/10.1007/s10668-024-04871-4

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