doi:10.1016/j.jenvman.2006.09.003
Copyright © 2006 Elsevier Ltd All rights reserved.
Initiatives and outcomes of green supply chain management implementation by Chinese manufacturers
aSchool of Management, Dalian University of Technology, Dalian, Liaoning Province 116024, PR China
bGraduate School of Management, Clark University, 950 Main Street, Worcester, MA 01610-1477, USA
cDepartment of Logistics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, PR China
Received 8 October 2005;
revised 4 September 2006;
accepted 7 September 2006.
Available online 3 November 2006.
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Abstract
This paper aims to explore the green supply chain management (GSCM) initiatives (implementation) of various manufacturing industrial sectors in China and examine the links between GSCM initiatives and performance outcomes. We conducted a survey to collect data from four typical manufacturing industrial sectors in China, namely, power generating, chemical/petroleum, electrical/electronic and automobile, and received 171 valid organizational responses for data analysis. Analysis of variance (ANOVA) was used to analyze the data. The results are consistent with our prediction that the different manufacturing industry types display different levels of GSCM implementation and outcomes. We specifically found that the electrical/electronic industry has relatively higher levels of GSCM implementation and achieves better performance outcomes than the other three manufacturer types. Implications of the results are discussed and suggestions for further research on the implementation of GSCM are offered.
Keywords: Green supply chain management; Implementation; Industry comparisons; Performance
Table 1.
Profile of the respondent firms

Table 2.
Descriptive statistics, alpha values and item-total correlations on GSCM and its underlying factors

Note: Scales: 1=not considering it, 2=planning to consider it, 3=considering it currently, 4=initiate implementation and 5=implementing successfully.
Table 3.
Descriptive statistics, alpha values and item-total correlations on performance outcomes and its underlying dimensions

Note: Scales: 1=not at all, 2=a little bit, 3=to some degree, 4=relatively significant and 5=significant.
Table 4.
Results of confirmatory factor analysis for GSCM
a Initially fixed at 1.0 for the purpose of estimation.
Table 5.
Results of confirmatory factor analysis for performance outcomes

aInitially fixed at 1.0 for the purpose of estimation.
Table 6.
Comparison of mean values on GSCM and its underlying factors in the four industrial sectors

Note. Scales: 1=not considering it, 2=planning to consider it, 3=considering it currently, 4=initiate implementation and 5=implementing successfully.
Table 7.
Comparison of mean values on performance outcomes and its underlying factors in the four industrial sectors

Note: Scales: 1=not at all, 2=a little bit, 3=to some degree, 4=relatively significant and 5=significant.