18 resultados para Karen (Southeast Asian people)
Resumo:
This study aims to examine the international value distribution structure among major East Asian economies and the US. The mainstream trade theory explains the gains from trade; however, global value chain (GVC) approach emphasises uneven benefits of globalization among trading partners. The present study is mainly based on this view, examining which economy gains the most and which the least from the East Asian production networks. Two key industries, i.e., electronics and automobile, are our principle focus. Input-output method is employed to trace the creation and flows of value-added within the region. A striking fact is that some ASEAN economies increasingly reduce their shares of value-added, taken by developed countries, particularly by Japan. Policy implications are discussed in the final section.
Resumo:
In East Asia, de facto integration is taking place because Free Trade Agreements (FTAs) and Economic Partnership Agreements (EPAs) are flourishing in the region. ASEAN aims to form an ASEAN Economic Community (AEC) by 2015 with the completion of the ASEAN Free Trade Area (AFTA). Surrounding countries have been competing with each other to forge FTAs or EPAs with ASEAN, including China, Japan, Korea, Australia and New Zealand, and India. As a result, ASEAN has become a trading hub in East Asia. Bilateral FTAs/EPAs are also partly in place among 16 countries (ASEAN + 6). These economic ties in trade, services and investment are accelerating this region’s development as the world’s largest production base and biggest consumption market, helping to turn around the global recession in the aftermath of the so-called Lehman Shock. However, some problems also need to be pointed out in the East Asian integration such as the spaghetti bowl effect, severe competition, labor issues, environmental destruction and power struggles.
Resumo:
Examining the spatial structure of clusters is essential for deriving regional development policy implications. In this study, we identify the manufacturing clusters in Cambodia, the Lao People's Democratic Republic, and Thailand, using two indices—global extent (GE) and local density (LD)—as proposed by Mori and Smith (2013). We also analyze four different combinations of these indices to highlight the spatial structures of industrial agglomerations. Since industrial clusters often spread over administrative boundaries, the GE and LD indices—along with cluster mapping—display how the detected clusters fit into specific spatial structures.