Mapping agricultural value chains with international input-output data

In recent years, the analysis of trade in value added has been explored by many researchers. Although they have made important contributions by developing GVC-related indices and proposing techniques for decomposing trade data, they have not yet explored the method of value chain mapping—a core element of conventional value chain analysis. This paper introduces a method of value chain mapping that uses international input-output data and reveals both upstream and downstream transactions of goods and services induced by production activities of a specific commodity or industry. This method is subsequently applied to the agricultural value chain of three Greater Mekong Sub-region countries (i.e., Thailand, Vietnam, and Cambodia). The results show that the agricultural value chain has been increasingly internationalized, although there is still room for obtaining benefits from GVC participation, especially in a country such as Cambodia.

Measuring smile curves in global value chains

The concept and logic of the "smile curve" in the context of global value chains has been widely used and discussed at the individual firm level, but rarely identified and investigated at the country and industry levels by using real data. This paper proposes an idea, based on an inter-country input-output model, to consistently measure both the strength and length of linkages between producers and consumers along global value chains. This idea allows for better identification and mapping of smile curves for countries and industries according to their positions and degrees of participation in a given conceptual value chain. Using the 1995-2011 World Input-Output Tables, several conceptual value chains are investigated, including exports of electrical and optical equipment from China and Mexico and exports of automobiles from Japan and Germany. The identified smile curves provide a very intuitive and visual image, which can significantly improve our understanding of the roles played by different countries and industries in global value chains. Further, the smile curves help identify the benefits gained by these countries and industries through their participation in global trade.