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This chapter seeks to analyze trade in environmental goods between China and the EU and highlight prominent problems and future opportunities.

We explore trade empirically, based on the definition of environmental goods proposed by OECD and database from UN COMTRADE (HS96).

We find that value of trade in environmental goods between China and the EU has increased from $2.759 billion in 1996 to $42.446 billion in 2012, with an average annual growth rate of 21%. Trade is concentrated in Germany, the Netherlands, Italy, France, and Belgium (together accounting for 82%). China has a trade deficit in most categories of environmental goods. Overall, although trade in environmental goods between China and the EU has increased rapidly, the trade structure is unbalanced and the competitiveness of China’s environmental goods trade is still low.

This chapter provides a robust basis for analysis of trade in environmental goods between China and the EU.

Discussions on environmental goods trade are complicated by a lack of clear definition and lack of consistent data. This chapter provides a clear and consistent data set in order to have a robust basis for analysis of this important phenomenon.

This study aims to analyze and discuss whether and how consumer-to-manufacturer (C2M) mode empowered by e-commerce retail platforms’ big data affects the stock returns of firms in supply chains.

This study selects 195 companies affected by four C2M events as samples and empirically analyzes the impact mechanisms of C2M mode on supply chain firms’ stock returns by event study.

This paper finds that C2M announcements own a positive impact on the stock returns of supply chain firms. Further, the results show that the business and financial characteristics play a significant impact on the relationship between the C2M mode and firm stock return performance. For example, C2M mode leads to huge stock returns when firms cooperate with the platforms related to their business content. In addition, the business scope can strengthen the positive promotion of C2M mode in stock returns, while business concentration weakens the positive promotion of C2M mode in stock returns.

The results found in this paper can provide practical guidance for the firms in supply chains to further apply C2M mode from the business characteristics and financial performance view.