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Time Series Analysis of Policy Discourse on Green Consumption in China: Text Mining and Network Analysis

Author

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  • Ying Lu

    (Department of International Business and Commerce, Graduate School of Konkuk University, Seoul 05029, Korea)

  • Sang Do Park

    (Department of Global Business, Konkuk University, Seoul 05029, Korea)

Abstract

Green consumption in China is a major promotion strategy for achieving sustainable development goals. It should be promoted from a long-term perspective based on cooperation from all levels of society. In addition, constantly revising the policy direction using policy discourse as feedback is necessary. This study analyzes policy discourse on green consumption in China from the long-term and time series perspectives. It employs text mining and network analysis by collecting Chinese online portal data on policy discourse over a period from 2000 to 2020. Using text mining, the study finds that green consumption develops through four stages, namely awareness, practice, diffusion, and social responsibility. From a long-term perspective, policymaking and the preparation of government guidelines take place during the awareness stage, the distribution of action plans and related guidelines from central to local governments takes place in the practice stage, and participation in green consumption in the different classes of society occurs in the diffusion stage. The conscious transition to green consumption by the government, the business sector, and the public can be found in the social responsibility stage. The results of the convergence of iterated correlation analysis reveal that policy discourse on green consumption initially transitions from a specific to a diversified topic. This means that, since there are many complex policy and social issues related to green consumption, it is necessary to select and focus on appropriate topics when setting policy directions. Lastly, core–periphery analysis indicates that growers related to global environmental issues, such as carbon neutrality and climate change, are leading green consumption in China. This confirms that green consumption is a key issue that the government and the public must practice to support the sustainable development of mankind, transcending constraints of time, space, class, and ideology. On the basis of its results, the study proposes a development strategy that can strike a balance between the universality and specificity of green consumption in China.

Suggested Citation

  • Ying Lu & Sang Do Park, 2022. "Time Series Analysis of Policy Discourse on Green Consumption in China: Text Mining and Network Analysis," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14704-:d:966547
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    Cited by:

    1. Bongsuk Sung & Hong Chen & Sang Do Park, 2024. "Who Drives Policy Discourse of China’s Energy Transition: Considering Time Series Perspective, Network and Core-Peripheral Analysis," SAGE Open, , vol. 14(2), pages 21582440241, May.
    2. Binbin Yang & Sang-Do Park, 2023. "Who Drives Carbon Neutrality in China? Text Mining and Network Analysis," Sustainability, MDPI, vol. 15(6), pages 1-24, March.
    3. Yu Cheng Lin & Sang Do Park, 2023. "Effects of FDI, External Trade, and Human Capital of the ICT Industry on Sustainable Development in Taiwan," Sustainability, MDPI, vol. 15(14), pages 1-24, July.

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