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Motivating green public procurement in China: An individual level perspective
Abstract
Green public procurement (GPP) practices have been recognized as an effective policy tool for sustainable production and consumption. However, GPP practices adoption, especially in developing countries, is still an issue. Seeking to help understand these adoption issues, we develop a conceptual model which hypothesizes moderation effects of GPP knowledge on the relationships between GPP drivers and practices. Using primary data collected from 193 Chinese government officials, we find that regulations, rewards & incentive gains, and stakeholders exert pressure to motivate adoption of GPP practices. Knowledge of GPP regulations, responsibilities and experiences in developed countries is found to be limited. The study also found that voluntary regulations may actually be demotivating GPP practices. This study contributes to further theoretical and practical understanding of GPP practices. The findings can be helpful for policy makers, especially those in developing countries, to establish promotion and diffusion mechanisms for GPP practices as an important sustainable development tool.
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“Rewards and incentives can also have a positive impact on the implementation of GPP (Zhu et al., 2013).”
From Green public procurement as an effective way for sustainable development: A systematic literature review and bibliometric analysis (2025) · cites this paper as Zhu et al., 2013
In the citing paper
“Rewards and incentives Zhu et al. (2013)”
From Green public procurement as an effective way for sustainable development: A systematic literature review and bibliometric analysis (2025) · cites this paper as Zhu et al. (2013)
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Metadata
- Authors
- Zhu, Q., Geng, Y., & Sarkis, J.
- Affiliations
- Dalian University of Technology (CN)
- Chinese Academy of Sciences (CN)
- Clark University (US)
- Corresponding author
- Geng, Yong
- Venue
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Published
- 2013-09
- Volume
- 126
- Pages
- 85-95
- ISSN
- 0301-4797 (ISSN-L)
- OpenAlex
- W2006811003
- Cited by
- 209
- References
- 60
- Citations by year
- 2026: 8 · 2025: 20 · 2024: 20 · 2023: 33 · 2022: 23 · 2021: 19 · 2020: 24 · 2019: 7 · 2018: 18 · 2017: 13 · 2016: 11 · 2015: 11 · 2014: 2
- FWCI
- 23.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Environmental Management (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Fund for Distinguished Young Scholars (71025002)
- National Key Basic Research Program of China (2011CB013406)
- Natural Science Foundation of China (71033004, 712111042)
- Chinese Academy of Sciences (2008-318)
- Ministry of Science and Technology (2011BAJ06B01)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Public Procurement and Policy
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Keywords
- green public procurement, government officials, voluntary regulation, regulatory pressure, rewards and incentives, stakeholder pressure, sustainable consumption and production, China, developing countries
- MeSH terms
- China, Conservation of Natural Resources, Government, Individuality, Models, Psychological, Models, Theoretical, Motivation, Surveys and Questionnaires
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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