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Motives and antecedents affecting green purchase intention: Implications for green economic recovery

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  • Hong, Ying
  • Hu, Jiangting
  • Chen, Mengyu
  • Tang, Shoulian

Abstract

Green consumption is not only a component but also a key to recovering the green economy. The present study developed a theoretical model to understand better the antecedents of consumers’ green purchase intentions in the social network era. Based on the theory of planned behavior, this study primarily focused on the impact of green consumption characteristics represented by environmental and health factors. Additionally, the influences of word-of-mouth and social factors were also considered. Data were collected from 709 valid structured questionnaires and analyzed by partial least squares structural equation model. The results confirmed the applicability of the theory of planned behavior in predicting green purchase intention. Notably, the findings reveal that environmental concern, environmental knowledge, health status, health consciousness, self-identity, and word-of-mouth have significant direct or indirect effects on green purchase intention. In summary, this study contributes to the researcher’s knowledge of green consumption, highlights the crucial role of green consumption characteristics, and provides practical policy implications for green recovery.

Suggested Citation

  • Hong, Ying & Hu, Jiangting & Chen, Mengyu & Tang, Shoulian, 2023. "Motives and antecedents affecting green purchase intention: Implications for green economic recovery," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 523-538.
    • Handle: RePEc:eee:ecanpo:v:77:y:2023:i:c:p:523-538
    DOI: 10.1016/j.eap.2022.12.005
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    5. Wang, Pei & Xue, Weixian & Wang, Zhuan, 2024. "Fog and haze control and enterprise green total factor productivity - evidence from China," Finance Research Letters, Elsevier, vol. 65(C).
    6. Li, Zengrong & Wu, Yanqiu & Rasoulinezhad, Ehsan & Sheng, Yishen & Bi, Chunyu, 2023. "Green economic recovery in central Asia by utilizing natural resources," Resources Policy, Elsevier, vol. 83(C).
    7. Qu, Xueping & Xu, Aidi, 2023. "Ways to promote investments in sustainable energy utilities in the central Asian regional economic cooperation program region," Utilities Policy, Elsevier, vol. 84(C).
    8. Zhao, Xing & Guo, Yifan & Feng, Tianchu, 2023. "Towards green recovery: Natural resources utilization efficiency under the impact of environmental information disclosure," Resources Policy, Elsevier, vol. 83(C).
    9. Yang, Jinghang & Xing, Yuanyuan & Han, Yuanyuan, 2023. "Utilization of E-commerce for fossil fuels allocation and green recovery," Resources Policy, Elsevier, vol. 85(PB).
    10. Hu, Hui & Xiong, Shuaizhou & Wang, Zeyu & Wang, Zishuo & Zhou, Xiang, 2023. "Green financial regulation and shale gas resources management," Resources Policy, Elsevier, vol. 85(PB).
    11. Hu, Qian & Gu, Yongkun, 2024. "Copper economic dynamics: Navigating resource scarcity, price volatility, and green growth," Resources Policy, Elsevier, vol. 89(C).
    12. Hu, Xiaofeng, 2023. "Green economic recovery in Central Asia by utilizing natural resources," Resources Policy, Elsevier, vol. 83(C).
    13. Li, Ran & Luo, Yang, 2024. "Green credit and regional industrial structure upgrading: Evidence from China," Finance Research Letters, Elsevier, vol. 65(C).

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