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This study explores the impact of green supply chain (GSC) practices on the enterprise performance in the context of Chinese manufacturing enterprises. A sample of 415 companies’ data was collected from the Chinese manufacturing industry. There are five predictors, including green distribution, green purchasing, green manufacturing, green information system, and eco-design, that were measured for the GSC practices. The GSC practices were measured by five predictors, including green distribution, green purchasing, green manufacturing, green information system, and eco-design. By using exploratory analysis and linear multiple regression analysis, the findings show that except for green distribution, rest of the independent variables have been found to be positively significant to predict enterprise performance. However, the green purchasing has revealed the greatest impact on enterprise performance. Therefore, senior management of the enterprises should implement green practices in their supply chain to increase the overall performance. In future, researchers can conduct comparative studies between manufacturing industry and other industries. In addition, they may bring in some other independent variables, including green logistics, co-operation with customers, and green transportation system. In this research, we estimate the economic and environmental performances together as enterprise performance. But in future, researchers may also calculate the economic and environmental performances separately.

This research paper examines the effect of three factors of green supply chain (GSC) practices on organizational performance in the perspective of Pakistani FMCG companies. A sample of 191 companies was collected from the FMCG industry. The GSC practices were measured by three independent variables including green transportation, green distribution and green purchasing. By using exploratory factor analysis and linear multiple regression, the findings show that except green purchasing rest of the two variables (green transportation and green distribution) have been found positive and significant to estimate organizational performance. Therefore, the managers and directors of the FMCG firms should adopt green practices in their distribution and transportation operations to enhance overall organizational performance. The key contribution of this study from theoretical side is that it is possible to sign a negative impact of green purchasing on organizational performance in the context of Pakistani FMCG industry.

This research paper recognizes the association between corporate social responsibility (CSR) practices and firm reputation. The researcher collected the data from 239 fast moving consumer goods enterprises located in the industrial area of Kuala Lumpur, Malaysia. The CSR practices are measured by recycling of products, green purchasing, environmental awareness/protection programs, and direct support to the community. This research adopts a simultaneous regression technique to test hypotheses. The results show that CSR practices have a strong positive relationship with enterprise reputation. Meanwhile, direct support to community and environmental protection programs have a greater positive effect on firms’ reputation as compared to green purchasing and recycling of products. In addition, CSR practices arouse sympathy in consumers’ minds, which translates into repeat buying of products.

Green supply chain management (GSCM) comprises of the Manufacturing process that minimizes waste and pollution. It also integrates environmental thinking into supply chain management; from conceptual product design to the delivery of final product to the consumers, and also involves end-of-life management. Many business organizations have implemented GSCM and many more are in the process to put into practice. Its implementation is supported by few factors which are known as GSCM drivers. These drivers could assist in adoption of Green supply chain management. The aim of this paper is to develop a relationship amongst the identified GSC drivers; including management commitments, regulatory pressure etc. This paper is also helpful in understanding mutual influences of drivers, it helps in identifying those drivers which support other drivers as well as those drivers which are most influenced by other drivers (dependent) using interpretive structural modeling (ISM) and it classifies these drivers depending upon their driving and dependency on power.