Value Chain Dynamics and Growth of Local Firms:The Case of Motorcycle Industry in Vietnam

Vietnam’s burgeoning market for motorcycles has attracted global industry eaders,players from developing countries, and local firms. This has led to a dynamic evolution of value chains. This paper presents an explanation of the varieties of the growth patterns xperienced by the local suppliers, focusing on the roles of customer and local supplier strategies. Case studies showed that while the role of customers may be important, strategies of suppliers to improve the ompetitive edge in the production of otorcycle components and to diversify into other products account for important ariations of growth trajectories among local suppliers. Findings presented in this paper suggest the need to direct more attention to strategy that local firms use to boost their competitive edge in business.

Interindustrial Structure in the Asia-Pacific Region: Growth and Integration, by Using 2000 AIO Table

Over the past 20 years Asian countries have achieved a certain degree of economic growth and at the same time deepened spatial interdependence. In January 2006, IDE completed the 2000 Asian International Input-Output Table, which covers eight major East Asian countries/regions as well as Japan and the United States. Given the dynamic changes in the economies of East Asia, this paper attempts to summarize the characteristics and their patterns of change in industrial structures and trade structures of the countries/regions in the Asia-Pacific region from the three viewpoints of time, space, and industry, by using the AIO table for 1985, 1990, 1995, and 2000.

Spatial patterns of manufacturing clusters in Vietnam

The formation of industrial clusters is critical for sustained economic growth. We identify the manufacturing clusters in Vietnam, using the Mori and Smith (2013) method, which indicates the spatial pattern of industrial agglomerations using the global extent (GE) and local density (LD) indices. Spatial pattern identification is extremely helpful because industrial clusters are often spread over a wide geographical area and the GE and LD indices—along with cluster mapping—display how the respective clusters fit into specific spatial patterns.