"Revealed" Comparative Advantage in Japan and the United States

Balassa, Béla; Noland, Marcus

doi:10.11130/jei.1989.4.2.8

Cited by 122 publications

(75 citation statements)

References 2 publications

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“…First, Balassa & Noland (1989) examines changes in comparative advantage of Japan and the United States. During the period 1967-1983, they find that the pattern of Japan's specialization has changed dramatically.…”

Section: Results Of the Previous Researchmentioning

confidence: 99%

“…Nonetheless, Japan experiences the loss of comparative advantage in natural resources intensive products. For the United States, Balassa & Noland (1989) contend that the country specializes in physical capital-intensive and capital-intensive goods while increasing the labor-intensive products in natural resources. To sum up, Balassa & Noland (1989) argue that Japan and the United States increase their comparative advantage in high technology.…”

Section: Results Of the Previous Researchmentioning

confidence: 99%

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Indonesian Comparative Advantage Entering the ASEAN Economic Community

Riandi

Pratomo

2017

JESP

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The purpose of this study is to examine the comparative advantage of Indonesian commodities in order to enter the ASEAN Economic Community (AEC). This study uses the export data during the period of 2003-2013 among five ASEAN countries participating in the AEC, including Indonesia, Malaysia, The Philippines, Singapore, and Thailand. All data obtained from the UN Comtrade database following the Harmonized System (HS) at the two-digit classification level. This study applies dynamic revealed comparative advantage (DRCA) index developed by Edwards and Schoer (2001) which is the development of revealed comparative advantage (RCA) index by Balassa (1965). The results show that Indonesia is ready to enter the AEC. From this research, there are several Indonesian main commodities which have comparative advantage in ASEAN, including fish, crustaceans, molluscs, aquatic invertebrates ones (HS-03), edible fruit, nuts, peel of citrus fruit, melons (HS-08), oil seed, oleagic fruits, grain, seed, fruit, etc, nes (HS-12), lac, gums, resins, vegetable saps and extracts nes (HS-13), rubber and articles thereof (HS-40), paper & paperboard, articles of pulp, paper and board (HS-48), special woven or tufted fabric, lace, tapestry etc (HS-58), articles apparel, accessories, not knit or crochet (HS-62), and vehicles other than railway, tramway (HS-87). Those commodities are in line with Indonesian government export's strategy direction which mainly focuses on several sectors, including fishery, vegetable products, rubber, wood and wood products, textiles, and transportation. Therefore, Indonesian government should focus to improve those commodities in AEC.

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Section: Results Of the Previous Researchmentioning

confidence: 99%

Section: Results Of the Previous Researchmentioning

confidence: 99%

Indonesian Comparative Advantage Entering the ASEAN Economic Community

Riandi

Pratomo

2017

JESP

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“…The central idea to determine a country"s export 'strong' sectors by analysing its actual export flows was pioneered by Liesner (1958). This procedure was refined by Bela Balassa (1965Balassa ( , 1989) to form the now popularly known 'Balassa Index'. Since the actual export flows "reveal" the country"s sectoral strength, it is also known as Revealed Comparative Advantage.…”

Section: Methodsmentioning

confidence: 99%

Revealed Comparative Advantage: An Analysis of Exports of Rwanda

Gupta¹,

Kumar²

2017

IOSR JEF

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“…Of particular note are indices in the studies of Liesner (1958), Balassa (1965 and, Kunimoto (1977), Donges & Riedel(1977), Bowen(1983), Balassa & Noland(1989) and Vollrath(1991) utilized to measure international competitive power. Indices that were most widely applied in studies measuring competitiveness in different sectors in Turkey were Ballassa and Vollrath (Çakmak, 2005, Tosun & Demirbaş, 2008Fidan 2009Fidan , Çoban et al, 2010Filiztekin & Karaata, 2010;Gülmez, 2012;Öztürk et al, 2013;Tunalioglu et al, 2013;Arısoy 2014;Erkekoğlu, 2014;Yurttançıkmaz et al, 2014).…”

Section: Methodsmentioning

confidence: 99%