Is green manufacturing expensive? Empirical evidence from China

Yunshi Mao and Jing Wang

International Journal of Production Research, 2019, vol. 57, issue 23, 7235-7247

Abstract: With increasingly serious environmental problems, a circular economy production system is in urgent needs. This study explores whether green manufacturing (GM) is expensive and how external institutional environmental pressures influence the cost of GM among industrial enterprises in emerging economies. Through an analysis of 10,380 observations of 1470 listed manufacturing firms in the Chinese share market from 2008 to 2015, this paper finds that GM increases operating cost (OC). In addition, the positive relationship between GM and OC is strengthened with reduced pollution level in the local city. Furthermore, synergistic effects of the local pollution level and the local government’s pollution information transparency are found. Firms’ OC increases more as firms carry out GM when both the local pollution level and pollution information transparency of local government are high, or when the local pollution level and the local government’s pollution information transparency are low.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2018.1480842 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:57:y:2019:i:23:p:7235-7247

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20

DOI: 10.1080/00207543.2018.1480842

Access Statistics for this article

International Journal of Production Research is currently edited by Professor A. Dolgui

More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().