Abstract
The development of the environmental services trade is crucial to achieving climate goals and a green economic transition. Based on environmental services trade data from 2001 to 2019, this work uses the social network analysis (SNA) method to depict the structural features of global environmental services trade networks, empirically testing the influencing mechanism of network evolution based on the quadratic assignment procedure (QAP) model. The results indicate that the global environmental services trade is now in a rebound stable period. The market of the environmental services trade is becoming increasingly diversified, the accessibility and convenience of trade are constantly being enhanced, and there is an obvious core–edge structure in the network. Belgium, Italy, and the Netherlands are at the center of the global environmental services trade network; Greece, as the most prominent trade catch-up country, has gradually become an important “bridge” and “hub.” Climate change, geographical distance, and population size are the key factors affecting the global trade network of environmental services; environmental regulation, economic distance, and green technology distance have no significant impact on the development of the global environmental services trade, and language difference is no longer an obstacle to the growth of this trade. The results indicate that countries should develop in-depth transnational trade cooperation in the field of environmental services and do so with a more open attitude. The government should give sufficient policy support to the import and export of environmental services, guaranteeing the development of the environmental services trade.
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Data are available from the authors upon request.
Notes
This paper uses the cooperative patent classification (CPC-Y02) table from the European Patent Office website to download green technology patents. https://worldwide.espacenet.com/patent/cpc-browser#!/CPC=Y02.
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Funding
This research was supported by the National Natural Science Foundation of China (grant numbers: (71704069, 71802099) and supported by Jiangsu University Youth Talent Cultivation Program.
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Yuan Jiang: methodology, writing—original draft. Yaya Li: software, data analysis, writing—original draft. Yanrong Li: data collecting and analysis. Yueran Xu: visualization. Eleonora Veglianti: writing—review & editing.
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Jiang, Y., Li, Y., Li, Y. et al. Research on the structural characteristics and influencing factors of global environmental services trade networks. Environ Sci Pollut Res 30, 53063–53076 (2023). https://doi.org/10.1007/s11356-023-26152-9
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DOI: https://doi.org/10.1007/s11356-023-26152-9