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New product development is possible with green patent: the moderating role of technological advancement and sustainable development goals

Yuan Gao et al.

International Journal of Intellectual Property Management2025https://doi.org/10.1504/ijipm.2025.145578article
ABDC C
Weight
0.37

What the paper says

The purpose of this study was to measure the impact of green patents, technology advancement, and sustainable development goals on new product development. A Likert-scale questionnaire was developed, and data was collected from the production managers of different Chinese large-scale firms. A sample of 285 respondents was collected with cross-sectional approach. The findings of this study were determined using partial least square – structural equation modelling (PLS-SEM). The empirical findings confirmed that the impact of green patents, technological advancement, and sustainable development goals is positive and strong on new product development. The study also confirmed that the moderation of technological advancement and sustainable development goals positively strengthens the relationship between green patents and new product development. The study concluded that the role of green patent is important for new product development in Chinese market. The research theoretically improved the body of knowledge and provided valuable recommendations for policy implications.

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https://doi.org/https://doi.org/10.1504/ijipm.2025.145578

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@article{yuan2025,
  title        = {{New product development is possible with green patent: the moderating role of technological advancement and sustainable development goals}},
  author       = {Yuan Gao et al.},
  journal      = {International Journal of Intellectual Property Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijipm.2025.145578},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.