The moderating effects of institutional pressures on emergent green supply chain practices and performance
Open accessAbstract
While building their reputation as a major manufacturing prowess, Chinese industry has experienced increasing ecological pressures from a variety of institutional players including market, governmental, and competitive sources. In response to these pressures some organizations initiate emergent green supply chain management (GSCM) practices. A moderated hierarchical regression analysis of data provided by 341 Chinese manufacturer respondents was completed to examine the relationships between GSCM practice, environmental and economic performance, incorporating three moderating factors market, regulatory, and competitive institutional pressures. The results reveal that: (1) Chinese manufacturers have experienced increasing environmental pressure to implement GSCM practices; (2) the existence of market (normative) and regulatory (coercive) pressures influences organizations to have improved environmental performance, especially when these pressures cause adoption of eco-design and green purchasing practices; (3) manufacturers facing higher regulatory pressures tend to implement green purchasing and investment recovery; (4) competitive (mimetic) pressure existence significantly improves the economic benefits from adoption of a number of GSCM practices with no deleterious influences on environmental performance; (5) none of the institutional pressures contribute to or lessen possible “win-win” situations for organizations. Implications for operations strategists and organizational sustainability planners from these relationships are also discussed.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Zhu and Sarkis (2007: 4352) found 'manufacturers facing higher regulatory pressures tend to better implement green purchasing and investment recovery'.
“Zhu and Sarkis (2007: 4352) found 'manufacturers facing higher regulatory pressures tend to better implement green purchasing and investment recovery'.”
From Conceptualising the adoption of sustainable procurement: an institutional theory perspective (2014) · cites this paper as Zhu and Sarkis 2007
Cited by
Sorted by citations
Green supply chain management: A review and bibliometric analysis
Fahimnia, B., Sarkis, J., & Davarzani, H. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2015.01.003 · Cited by 2,131 · see citing works
Self-citationStakeholder pressure and the adoption of environmental practices: The mediating effect of training
Sarkis, J., Gonzalez‐Torre, P., & Adenso‐Diaz, B. (2010) · Journal of Operations Management · doi:10.1016/j.jom.2009.10.001 · Cited by 1,518 · see citing works
Self-citationZhu, Q., Sarkis, J., & Lai, K.-H. (2012) · International Journal of Production Research · doi:10.1080/00207543.2011.571937 · Cited by 614 · see citing works
Self-citationMotivating green public procurement in China: An individual level perspective
Zhu, Q., Geng, Y., & Sarkis, J. (2013) · Journal of Environmental Management · doi:10.1016/j.jenvman.2013.04.009 · Cited by 209 · see citing works
Self-citationRoman, A. V. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.12.014 · Cited by 141 · see citing works
Tian, Q., Liu, Y., & Fan, J. (2015) · Journal of Management & Organization · doi:10.1017/jmo.2015.14 · Cited by 83 · see citing works
AlNuaimi, B. K., & Khan, M. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.06.090 · Cited by 79 · see citing works
Conceptualising the adoption of sustainable procurement: an institutional theory perspective
Grob, S., & Benn, S. (2014) · Australasian Journal of Environmental Management · doi:10.1080/14486563.2013.878259 · Cited by 75 · see citing works
Liu, J., Ma, Y., Appolloni, A., & Cheng, W. (2021) · Journal of Public Procurement · doi:10.1108/jopp-04-2020-0035 · Cited by 56 · see citing works
Masudin, I., Wastono, T., & Zulfikarijah, F. (2018) · Cogent Business & Management · doi:10.1080/23311975.2018.1485212 · Cited by 45 · see citing works
Rahman, M., Wahab, S. A., & Latiff, A. S. A. (2022) · Journal of Future Sustainability · doi:10.5267/j.jfs.2022.11.100 · Cited by 9 · see citing works
Tinali, G. Z. P. (2022) · University of Dar es Salaam Library Journal · doi:10.4314/udslj.v17i1.3 · Cited by 8 · see citing works
- Authors
- Zhu, Q., & Sarkis, J.
- Affiliations
- Dalian University of Technology (CN)
- Clark University (US)
- Corresponding author
- Zhu, Qinghua
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2007-09-15
- Volume
- 45
- Issue
- 18-19
- Pages
- 4333-4355
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W2068346362
- Cited by
- 1,235
- References
- 0
- Citations by year
- 2026: 79 · 2025: 69 · 2024: 92 · 2023: 110 · 2022: 99 · 2021: 88 · 2020: 87 · 2019: 84 · 2018: 98 · 2017: 76 · 2016: 73 · 2015: 69 · 2014: 73 · 2013: 51 · 2012: 33
- FWCI
- 23.66
- Type
- journal article
- Language
- en
- Open access
- green
- papers.ssrn.com
- Locations
- International Journal of Production Research (publishedVersion)
- SSRN Electronic Journal (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
- Keywords
- green supply chain management, institutional pressures, market pressure, regulatory pressure, competitive pressure, environmental performance, economic performance, eco-design, green purchasing, investment recovery, Chinese manufacturing firms
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 ›
Are you an author, or do you see a problem with this page? Request a review