795 research outputs found
ใใฃใณใใผใซใใใๆง็ณๅจๆไปฃ็ณๅจใฎๅๆๆๅฉ็จใปๆ่กใปๅๅผๅ้ก : ็ณๅจ่ฃฝไฝๆ่กใฏๅฐๅๆงใจ้ขไฟใใใ๏ผโ
ใใใฃใณใใผใฎๆง็ณๅจๆๅใฏใใฎๅฐ็็ไฝ็ฝฎใซใใฃใฆไบใคใซๅบๅใใใใ้ๅฐ็ใช้บ่ทกใฏไฝๅฐๅนณๅใซไฝ็ฝฎใใใใใงๅ
ธๅ็ใชใขใใฃใใฃใขใณๆๅใๆดๆฐไธไธญๆใใๅฎๆฐไธๅๆใฎ้ใซ็่กใใใใฎใจๆใใใใไธๆนใ้ซๅฐใซใซในใๅฐๅธฏใฎๆด็ฉด้บ่ทกใฏ็คซๅจๆๅใๅๆ ใใฆใใใใใฎๅนดไปฃใฏ11,000 BP ใใไปฅ้ใซๅงใพใใใใใใชใใๆฌ่ซใฏใใใใไบใคใฎ็ฐใชใฃใๆๅใฎ็นๅพดใใพใจใใใจใจใใซใๅฐๆน็ใปๅฐๅ็ไผ็ตฑใซใใใๆ่ก่ซ็้ข้ฃใๆใใใซใใใใจใใใใฎใงใใ
Trade Competitions among the Top Exporting Partners in the ASEAN Market: Focusing on Agro-food Commodities
ํ์๋
ผ๋ฌธ (๋ฐ์ฌ)-- ์์ธ๋ํ๊ต ๋ํ์ : ๋๊ฒฝ์ ์ฌํํ๋ถ(๋๊ฒฝ์ ํ์ ๊ณต), 2012. 8. ๊นํํธ.ABSTRACT (in Korean)
๋๋จ์์์๊ตญ๊ฐ์ฐํฉ(ASEAN)์ด ๋์์์ ์ง์ญ์์์ ์์๋ฌด์ญํ์ ๋คํธ์ํน์ ์์ด ์ค์ํ ์ญํ ์ ํ๊ธฐ ์์ํ๋ฉด์ ์์ ๋ฌด์ญํ์ (FTA)์ด ํ๋ฐํ ๋งบ์ด์ง๊ณ ์์ผ๋ฉฐ ๋์์ ๋ค์๊ฐ ๋ฌด์ญ ์์คํ
์ ํน์ง๋ ๊ธ์ํ ํ์ฅํ๊ณ ์๋ค.
๋๋จ์์์๊ตญ๊ฐ์ฐํฉ์ ๋์ฐ๋ฌผ๋ฌด์ญ์ ์์ด ์ ์์ถ ์ง์ญ์ด์ง๋ง, ์ต๊ทผ 1์ธ๋น ์๋ ์ฆ๋, ์ฌ๋ฌ ๊ฐ์ง ๋ถ๊ฐ๊ฐ์น์ ํ์ ๋ํ ์์ต๊ด ๋ฐ ์ ํธ, ๋์ถ์ํ์ฐ์
์ ์ง์ค๋ ์ฆ๊ฐ, ์ธ๊ณํ ๋ฐ ๊ฐ๋ฐ๋์๊ตญ์์์ ํจ์คํธํธ๋์ ํ์ฐ ๋ฑ์ผ๋ก 2005๋
~2009๋
์ฌ์ด ๋์ฐ๋ฌผ๊ณผ ๋น๋์ฐ๋ฌผ ์์
์์ฅ์ด ์ด์์
๊ธ์ก 257,943 ๋ฐฑ๋ง๋ฌ๋ฌ(US)๋ก ์ปค์ง๊ธฐ ์์ํ์๋ค. ASEAN ์์ฅ์ผ๋ก ๊ฐ์ฅ ๋ง์ด ์์ถํ๋ ์ฃผ์ 20๊ตญ ๊ฐ์ด๋ฐ, ํนํ ๋ฏธ๊ตญ, ์ค๊ตญ, ํธ์ฃผ, ์ธ๋, ๊ทธ๋ฆฌ๊ณ ์ผ๋ณธ์ด ์์ถ 5๋๊ตญ๊ฐ๋ฅผ ํ์ฑํ๊ณ ์๋ค.
๋น์ค์ฌ์๊ด๊ฑฐ๋ฆฌ์ ๊ทผ(The un-centered correlation distance approach)๊ณผ ๊ฒฝ์์ํ๋ชจํ(competitive threat framework) ๊ฐ๋
์ ์ฌ์ฉํ์ฌ ๋ถ์ํ ๊ฒฐ๊ณผ, ๋ฏธ๊ตญ, ์ผ๋ณธ, ํธ์ฃผ๋ ASEAN ์์ฅ์์ ์ธ๋๋ฟ๋ง ์๋๋ผ ์ค๊ตญ๊ณผ ์ฌ๊ฐํ ๊ฒฝ์์ ํ๊ณ ์๋ค. ์ผ๋ณธ์ ๋ํ ํ๊ตญ๊ณผ์ ๊ฒฝ์์ ์ง๋ฉดํด ์๋ค. ์ค๊ตญ๊ณผ ์ธ๋๋ ์ง๋ฆฌ์ ์ ๊ทผ์ ์๋์ ์ฐ์์ฑ ๋๋ฌธ์ ASEAN ์์ฅ์์ ๋ค๋ฅธ ๋๋ผ๋ณด๋ค ๊ฒฝ์์ฐ์๋ฅผ ์ ํ ์ ์๋ ๊ฒ์ฒ๋ผ ๋ณด์ธ๋ค.
HS 4์๋ฆฌ ๊ธฐ์ค ์ด 323๊ฐ์ ASEAN ์์ฅ ์์
ํ์ ๋๊ณ ๋ฏธ๊ตญ(316๊ฐ ํ๋ชฉ), ์ผ๋ณธ(318๊ฐ ํ๋ชฉ), ํธ์ฃผ(304๊ฐ ํ๋ชฉ) ๋ฑ์ด ๊ฒฝ์์ ํ๊ณ ์๋๋ฐ, ์ต๊ทผ ์ค๊ตญ ์์ถ๋ก ์ธํด ์ํ์ ๋ฐ๊ณ ์๋ค. ์ํฅ์ ๋ฐ๋ ํ๋ชฉ๋ค ์ค์์ ๋ฏธ๊ตญ(63%), ์ผ๋ณธ(63%), ํธ์ฃผ(63%)์ ์์ถ์ด ์ค๊ตญ ์์ถ์ "์ง์ ์ ์ํ๊ณผ ๋ถ๋ถ์ ์ํ"์ ๋ฐ์๋ค.
HS 6์๋ฆฌ ํ๋ชฉ์ผ๋ก ์ข ๋ ์์ธํ ๋ถ์์ ์ํํ ๊ฒฐ๊ณผ, ์ค๊ตญ์ "์ ์ ์ฌ๊ณผ", "์ ์ ๋๋ ๊ฑด์กฐํ ํฌ๋", "์ ์ ๋๋ ๊ฑด์กฐํ ์ค๋ ์ง", "์ ์ ํ ๋ฐฐ ๋ฐ ๋ง๋ฅด๋ฉ๋ก", "์ ์ ํ ๋ง๋ค๋ฆฐ, ํด๋ ๋ฉํ์ธ & ์ํธ๋ฆฌ์ค" ๋ฑ ์ฃผ์ ์์ฉ ๊ณผ์ผ์ ๋ํด ASEAN ์์
์์ฅ์์ ์ง์ ์ ์ผ๋ก ๋ฏธ๊ตญ๊ณผ ํธ์ฃผ๋ฅผ ์ํํ๋ค. ๋ฏธ๊ตญ๊ณผ ์ผ๋ณธ์ "์์ค์ ์์ค์ฉ ์กฐ์ ํ, ํผํฉ์กฐ๋ฏธ๋ฃ", "์ํโข๋ธ๋ก๋์ ์ํโข๋ธ๋ก๋์ฉ ์กฐ์ ํ", "๊ท ์งํํ ํผํฉ์กฐ์ ์๋ฃํ", ๊ฒจ์์ ๋ถโข์กฐ๋ถ๊ณผ ์กฐ์ ํ ๊ฒจ์", "๋ฐ๋ก ๋ถ๋ฅ๋์ง ์๋ํ ์กฐ์ ์๋ฃํ ๊ธฐํ", "์๋ด๋ฐฐ"์ ๊ฐ์ ํ๋ชฉ์์ ์ค๊ตญ์ ์ง์ ์ ์ธ ์ํ์ ๊ฒช๊ณ ์์๋ค. ๊ฒ๋ค๊ฐ ์ด๋ค 3๊ตญ์ "๋ฉด์ง๋ฌผ(๋ฉด์ ํจ์ ๋์ด ์ ์ค๋์ 100๋ถ์ 85 ์ด์์ธ ๊ฒ์ผ๋ก์ 1์ ๊ณฑ๋ฏธํฐ ๋น ์ค๋์ด 200๊ทธ๋จ ์ดํ์ธ ๊ฒ์ ํํจ) ๊ธฐํ์๋ฌผ", "๋ฉด์ง๋ฌผ(๋ฉด์ ํจ์ ๋์ด ์ ์ค๋์ 100๋ถ์ 85 ์ด์์ธ ๊ฒ์ผ๋ก์ 1์ ๊ณฑ๋ฏธํฐ๋น ์ค๋์ด 200๊ทธ๋จ์ ์ด๊ณผํ๋ ๊ฒ์ ํํจ) ๊ธฐํ์ง๋ฌผ", "๋ฉด์ง๋ฌผ ๊ธฐํ ์ง๋ฌผ์ ๊ฒ"์ ๋ํ์ฌ ์ค๊ตญ์ ์ง์ ์ ์ธ ์ํ์ ๋ฐ์๋ค.
์๋์ ์ผ๋ก ๋์ ์ ์ฌ์ฑ(similarity) ์ง์๋ก ๋ฏธ๊ตญ, ์ผ๋ณธ, ํธ์ฃผ๋ ์ค๊ตญ์ ์์ถ๋ฟ๋ง ์๋๋ผ ์ธ๋์ ์์ถ๊ณผ๋ ASEAN ์์
์์ฅ์์ ๊ฒฝ์ํด์ผ ํ๋ค. ์ผ๋ณธ์ 243๊ฐ ์์ถ ํ๋ชฉ, ๋ฏธ๊ตญ์ 225๊ฐ ์์ถ ํ๋ชฉ, ํธ์ฃผ์ 218๊ฐ ์์ถ ํ๋ชฉ์ ์ง์ ๋๋ ๋ถ๋ถ์ ์ผ๋ก ์ธ๋์ ์์ถ์ ๋์ ์ ๋ฐ์๋ค. ์ง์ ์ ์ผ๋ก ์ธ๋์ ์์ถ์ ์ํฅ์ ๋ฐ์ ๋ฏธ๊ตญ๊ณผ ํธ์ฃผ์ ์ฃผ์ ๋์ฐ๋ฌผ์ "์ฅ์์ ๊ธฐํ(์ฌ๋ฃ์ฉ, ํ์ฝ, ๊ธฐํ)", "์ฅ์์ ์ข
์์ฉ", "๋ฐ๋ฆฌํธ", "์นด๋๋ฆฌ์๋", ๋ํ์(๋ณถ๊ฑฐ๋ ๊ธฐํ ์กฐ๋ฆฌ๋ฅผ ํ ๊ฒ์ ์ ์ธํ๋ฉฐ, ํ๊ฐ ๋๋ ํ์ํ ๊ฒ์ธ์ง์ ์ฌ๋ถ๋ฅผ ๋ถ๋ฌธํ๋ค), "์ฐธ๊นจ", "์ฃผ๋ก ํฅ๋ฃ์ฉใ์๋ฃ์ฉใ์ด์ถฉ์ฉใ์ด๊ท ์ฉ ๊ธฐํ ์ด์ ์ ์ฌํ ์ฉ๋์ ์ ํฉํ ์๋ฌผ ๋ฐ ๊ทธ ๋ถ๋ถ ๊ธฐํ", ์ฌ๋ฃ์ฉ ์๋ฌผ์ ์ข
์, ์ฑ์ ์ข
์, ์ฃผ๋ก ์์ฉ์ ์ ํฉํ ๊ณผ์ค์ ํต๊ณผ ๊ธฐํ์ ์๋ฌผ์ฑ ์์ฐํ(๋ณถ์ง ์๋ํ ์์ฝ๋ฆฌ์ ์ธํฐ๋ถ์ค ์ํฐ๋ฒ ๋ณ์ข
์ ์น์ปค๋ฆฌ๋ฟ๋ฆฌ๋ฅผ ํฌํจํ๋ค)์ผ๋ก์ ๋ฐ๋ก ๋ถ๋ฅ๋์ง ์๋ํ ๊ฒ ๊ธฐํ์ ๋ฉดโข๋ฉด์ฌ๋ฉด์ง๋ฌผ์ด์๋ค. ๊ฒ๋ค๊ฐ ํธ์ฃผ์ ์ ์ ํ"๊ณผ ๋ฏธ๊ตญ์ "์กฐ์ ์ฌ๋ฃ" ๋ํ ์ธ๋์ ์์ถ๋ก๋ถํฐ ์ํ์ ๋ฐ๊ณ ์๋ค.
"๊ฐ์ฅ ๊ธฐํ", "์ํโข๋ธ๋ก๋์ ์ํโข๋ธ๋ก๋์ฉ์กฐ์ ํ", "๊ท ์งํํ ํผํฉ์กฐ์ ์๋ฃํ", "์ 3901ํธ ๋ด์ง ์ 3913ํธ์ ํ๋ฆฌ๋จธ ๋๋ ๊ณ ๋ฌด๋ฅผ ๊ธฐ์ ๋ก ํ ์ ์ฐฉ์ ", "๊ท์ฐ์ผ์ ๊ธฐ์ ๋ก ํ ๊ธ๋ฃจ", "ํจ์ ๋ฐ ๋ฐ๋ก ๋ถ๋ฅ๋์ง ์๋ํ ์กฐ์ ํจ์", "๋ฑ์คํธ๋ฆฐ๊ณผ ๊ธฐํ ๋ณ์ฑ์ ๋ถ", " ๋ฉดโข๋ฉด์ฌ๋ฉด์ง๋ฌผ"๊ณผ ๊ฐ์ ์ผ๋ณธ ์ฃผ์ ์์ฐํ์ ์ธ๋์ ์์ถ ์์ฐํ์ผ๋ก ์ธํด ์ง์ ์ ์ํ์ ๋ฐ์๋ค. ๋ํ ํ๊ตญ์ ์ํ์ฌ ์ง์ ์ ์ผ๋ก ์ํ ๋ฐ์ ์ฃผ์ ์์ฐํ์ ๋ถ ๋๋ ์ค์ก์ ๋ถ. ์กฐ๋ถ. ํ ๋ฆฌํธ ๋ฐ ์์ง๋ฐ, ์ด๋ฅ. ๊ฐ๊ฐ๋ฅ. ์ฐ์ฒด๋๋ฌผ ๋๋ ๊ธฐํ ์์๋ฌด์ฒ์ถ๋๋ฌผ์ ๋ถ. ์กฐ๋ถ ๋ฐ ํ ๋ฆฌํธ, ํ์ง๋ฌผ (1์ ๊ณฑ๋ฏธํฐ๋น ์ฃผ๋์ด 100 ๊ทธ๋จ ์ดํ์ธ ๊ฒ์ ํํ๋ค), ํ๋ฐํ์ง ์๋ํ ๊ฒ. ๊ธฐํ ์ง๋ฌผ์ ๊ฒ ๊ณผ ์ผ์ํ ๊ฒ. ๊ธฐํ์ง๋ฌผ ์ด๋ค.
ASEAN ์์ฅ์ ๋ฌด์ญ๊ฒฝ์์์ ๋ฏธ๊ตญ, ์ผ๋ณธ, ํธ์ฃผ๋ "์ ์ด์ ", "์ด์ถฉ์ ", "์ด์ถฉ์ (๋์ฝ)", "์ฌ์ ๊ณต์
๋๋ ์ด์ ์ ์ฌํ ๊ณต์
์ฉ์ ๊ฒ", "ํ์ฑํ", "์กฐ์ ํ ๊ณ ๋ฌด๊ฐํฉ์ด์ง์ ", "์ด์์์๋ค์ดํธ", "์ํธ๋ ", "ํญ์๋ฌผ์ง", "์ ๊ธฐ-ํฉ ํํฉ๋ฌผ", "๋์ฝ์์ ์ ๊ฒ", "ํ๋์ค๋ฆฐ๊ณผ ํ๋์ค๋ฆฐ ์ฐ"๊ณผ ๊ฐ์ ๋น๋์ฐ๋ฌผ ํ๋ชฉ์์ ๋ชจ๋ ๋น๊ต ๋์ ๊ตญ๊ฐ ์ฆ, ์ค๊ตญ, ์ธ๋, ํ๊ตญ์ผ๋ก๋ถํฐ ์ง์ ์ ์ธ ์ํ์ ๋ฐ์๋ค.
์ค๋ ฅ๋ชจํ์ ์ ์ฉํ๋ฉด "์์
๊ตญ GDP", "1์ธ๋น ์์
๊ตญ GDP", "์์ถ๊ตญ GDP"๋ ์์ ๋ถํธ๋ฅผ ๊ฐ์ง๋ฉฐ ๋์ ํต๊ณ์ ์ ์์ฑ์ ๋ณด์ฌ์ค๋ค. ์ด๊ฒ์ ASEAN ์์
์์ฅ์์ ์์
๊ตญ์ GDP, ์์
๊ตญ์ 1์ธ๋น GDP, ์์ถ๊ตญ์ GDP์ ํจ๊ป ๋ฌด์ญ๋์ด ์ฆ๊ฐํ๋ค๋ ๊ฒ์ ์๋ฏธํ๋ค. FTA๋ฅผ ํ์ํ๋ ๋๋ฏธ๋ณ์์ ์ถ์ ์น๋ ์ ์๋ฏธํ ๊ณ์(2.39)๋ฅผ ๋ณด์ฌ์ฃผ๊ณ , ๋ํ ASEAN ์ญ๋ด ์์ ๋ฌด์ญํ์ ์ ํ์๊ตญ๊ฐ ๋ฌด์ญ์ 991% ์์น์์ผฐ๋ค. ๊ทธ๋ฌ๋ฏ๋ก ์์ ๋ฌด์ญ์ ASEAN ์์
์์ฅ ๋ด ์ฃผ์์์ถ๊ตญ๊ฐ๋ค์ ๋ฌด์ญ์์ ์ค์ํ ์ญํ ์ ํ์๋ค.
์ฃผ์ ์๋ฌผ์ ์์
์ ์๊ณผ ๊ธ์ก ๋ชจ๋ ์๋นํ ์ฆ๊ฐํ๋๋ฐ, ์ด ๊ฐ์ ์์
์ฆ๊ฐ๋ ASEAN ๊ตญ๊ฐ๋ค์ ๊ตญ๋ด ์์ฐ์๋ ํฌ๊ฒ ์ํฅ์ ๋ผ์น์ง ์์๋ค. ์ฌ๋ฌ ํ๋ชฉ์ ์์
์ ๋ณด์์ฌ๋ก์ ๊ตญ๋ด์์ ์๋น๋ ์ ์์๊ณ ๋ํ ASEAN ๊ตญ๊ฐ๋ค์ ์์ถ๋ฟ๋ง ์๋๋ผ ๊ตญ๋ด ์๋น๋ฅผ ์ํ ๋ถ๊ฐ๊ฐ์น ์ฐ์
์ ์์์ฌ๋ก์๋ ์ฌ์ฉ๋ ์ ์์๋ค.
ํค์๋: ๋ฌด์ญ ๊ฒฝ์, ASEAN ์์
์์ฅ, ์์ ๋ฌด์ญํ์ (FTA), ์ค๋ ฅ๋ชจํ, ๋์ฐํ
ํ๋ฒ: 2009-31277ABSTRACT
Since ASEAN is playing a significant role in the networking of bilateral trade agreements in the East Asia region, Free Trade Agreements (FTAs) become now the most prominent and rapidly expanding feature of the multilateral trading system.
Although ASEAN is a net exporting region for agricultural trade, due to rising per capita income, the diets and preferences of consumers on the different kinds of value added products, the demands of an increasingly concentrated food industry, globalization and the spreading presence of the fast-food industry in developing countries, most of its agriculture and some non-agriculture imports become large and growing during these periods until the total import amount 257,943 million US$ from the world in 2005-2009 periods. Among the top 20 exporters to ASEAN market, USA, China, Australia, India and Japan were five largest trade partners in ASEAN import market.
By using the un-centered correlation distance approach and the concept of competitive threat framework, the results show that USA, Japan and Australia were facing serious competition with China as well as India in ASEAN import market. Japan also faced trade competition with Korea. The relative geographic proximity of China and India to ASEAN markets seems to favor them several advantages in their competitions with other countries.
Among total 323 four-digit HS commodities of ASEAN import, USAs exports (316 commodities), Japans exports (318 commodities) and Australias exports (304 commodities) were affected by Chinas export threat. Among those affected items, USA (63%), Japan (63%) and Australia (63%) were subjected to Direct threat and Partial threat of Chinas exports.
After more detail analysis of six-digit items, China directly threatened to USA and Australia in major edible fruits such as fresh apples, fresh and dried grapes, fresh or dried oranges, fresh pears and quinces, and fresh mandarin, clementine & citrus in ASEAN market. USA and Japan were suffering Chinas direct threat in some items like Sauces nes, mixed condiment, mixed seasoning, Soups and broths and preparations thereof, Homogenised composite food preparations, Mustard flour or meal and prepared mustard, Food preparation nes and Tobacco, unmanufactured, stemmed or stripped. Moreover these three countries were subjected to China direct threat in Woven cotton nes, >85% 85% >200g/m2, dyed, nes, and Woven cotton nes, >85% <200g/m2, unbleached.
With the relatively higher similarity index, exports of USA, Japan and Australia were subjected to compete with not only Chinas exports but also Indias exports in ASEAN import market. Japans exports 243 items, USAs export 225 items and Australias exports 218 items were directly or partially challenged by Indias exports. The major agriculture export commodities directly affected by Indias export were Maize except seed corn, Maize (corn) seed, Millet, Canary seed, Ground-nuts shelled, not roasted or cooked, Sesamum seeds, Plants & parts, pharmacy, perfume, insecticide use nes, Seed, fruits and spores for sowing, nes, Seed, forage plants, for sowing nes, Seed, vegetable, nes for sowing, Vegetable products nes for human consumption and different kinds of Cotton for both USA and Australia. Moreover Australias Dairy products and USAs Residues and waste from the food industries were also threatened by Indias exports.
Japans major products like Sauces nes, mixed condiments, mixed seasoning, Soups and broths and preparations thereof, Homogenised composite food preparations, Adhesives based on rubber or plastic, package >1 kg, Glues or adhesives, prepared nes, package > 1kg, Enzymes nes, prepared enzymes nes, except rennet, Dextrins and other modified starches and major cotton products were subjected to Direct Threat by Indias export products. In addition to, Japans major products directly threatened by Korea were Flour or meal, pellet, fish, etc., for animal feed, Animal feed preparations nes, Plain weave cotton, >85% >200g/m2, unbleached, Woven cotton nes, >85% 85% <200g/m2, dyed and other different kinds of cotton in ASEAN import market.
For non-agriculture products, Herbicides, Insecticides, Pesticides, Finishing agents, dye carriers , Activated carbon, prepared rubber accelerators, Isocyanates, Ethylene, Antibiotics, Organo-sulphur compounds, Heterocyclic compounds, and Penicillins and their derivatives of USA, Japan and Australia were subjected to Direct Threat of each reference country in all trade competitions in ASEAN market.
By applying gravity model, the effect of the importers GDP, the importers GDP per capita and exporters GDP shows positive and highly significant. It means that trade rises with GDP of importers, GDP per capita of importers and GDP of exporters in ASEAN import market. The significant coefficient of dummy variable, FTAijt is (2.39) and the intra-ASEAN Free Trade Agreement increased trade between its members by 991%. Therefore, Free Trade Agreements play an important role in the trade of top exporters in ASEAN import market.
Even import amounts and value of the major crops increased significantly, increasing of import did not effect on their domestic productions of ASEAN countries. Importing products or commodities could be used for domestic consumption as complementary goods and could be also used as raw materials from value-added industries for domestic consumption as well as export in ASEAN countries.
Key words: trade competition, ASEAN import market, Free Trade Agreement (FTA), gravity model, agriculture products
Student ID number: 2009-31277Contents
Abstract i
List of Tables (in the body of text) ix
List of Figures (in the body of text) xiii
List of the Acronyms xvi
I. INTRODUCTION 1
1.1 Background of the study 1
1.2 Significance of the study 5
1.3 Objectives of the study 12
1.4 Organization of the study 13
II. LITERATURE REVIEWS 14
2.1 ASEAN Regional Trade 14
2.2 ASEAN Free Trade Agreements 16
2.3 Trade Competitions 20
2.3.1 Trade Competition between China and USA 20
2.3.2 Trade Competition between China and India 24
2.3.3 Trade Competition between China and Japan 26
2.3.4 Trade Competition between India and USA 30
2.3.5 Trade Competition between Korea and Japan 31
III. DESCRIPTION OF THE STUDY AREA 33
3.1 Association of South East Asian Nations (ASEAN) 33
3.2 Economic Situation of ASEAN 49
3.3 ASEAN Free Trade Agreements 52
3.4 ASEAN Relation with Top Trading Partners 55
3.4.1 ASEAN relation with USA 55
3.4.2 ASEAN relation with China 58
3.4.3 ASEAN relation with Japan 64
3.4.4 ASEAN relation with India 66
3.4.5 ASEAN relation with Australia 69
3.4.6 ASEAN relation with Korea 71
IV. RESEARCH METHODOLOGY 73
4.1 Trade Competitions in ASEAN import market 73
4.1.1 Data and Sampling 73
4.1.2 Analytical Framework 75
4.2 Effect of Free Trade Agreement (FTA) in ASEAN import market 80
4.2.1 The Gravity Model 80
4.2.2 Data and Methodology 82
V. RESULTS AND DISCUSSIONS 84
5.1 ASEAN agriculture and non-agriculture trade with the top partners 84
5.2 ASEAN agriculture and non-agriculture trade with United States 96
5.2.1 USA agriculture and non-agriculture exports to world 96
5.2.2 USA agriculture and non-agriculture exports to ASEAN 98
5.3 ASEAN agriculture and non-agriculture trade with China 101
5.3.1 China agriculture and non-agriculture exports to world 101
5.3.2 China agriculture and non-agriculture exports to ASEAN 105
5.4 ASEAN agriculture and non-agriculture trade with Japan 109
5.4.1 Japan agriculture and non-agriculture exports to world 109
5.4.2 Japan agriculture and non-agriculture exports to ASEAN 112
5.5 ASEAN agriculture and non-agriculture trade with India 115
5.5.1 India agriculture and non-agriculture exports to world 115
5.5.2 India agriculture and non-agriculture exports to ASEAN 119
5.6 ASEAN agriculture and non-agriculture trade with Australia 122
5.6.1 Australia agriculture and non-agriculture exports to world 122
5.6.2 Australia agriculture and non-agriculture exports to ASEAN 126
5.7 ASEAN agriculture and non-agriculture trade with Korea 129
5.7.1 Korea agriculture and non-agriculture exports to world 129
5.7.2 Korea agriculture and non-agriculture exports to ASEAN 132
5.8 Trade competitions among the emerging markets and declining markets136
5.8.1 Trade competition between China and United States 137
5.8.2 Trade competition between China and Japan 154
5.8.3 Trade competition between China and Australia 159
5.8.4 Trade competition between India and United States 165
5.8.5 Trade competition between India and Japan 175
5.8.6 Trade competition between India and Australia 180
5.8.7 Trade competition between Korea and Japan 185
5.9 Effect of Free Trade Agreement (FTA) 195
5.10 Production, export and import of some major crops in ASEAN 198
VI. CONCLUSIONS AND POLICY IMPLICATIONS 208
6.1 Conclusions 208
6.2 Policy implications 218
REFERENCES 225
APPENDICES 236
ABSTRACT (in Korean) 247
ACKNOWLEDGEMENT 250Docto
Rural and urban disparities in health-seeking for fever in Myanmar: findings from a probability-based household survey.
BackgroundThe World Health Organization (WHO) recognizes Myanmar as having the highest burden of malaria in the Greater Mekong Sub-region (GMS). Early diagnosis and proper treatment are critical in containing malaria. The objective of this study was to assess determinants of seeking treatment for fever from trained providers across rural and urban areas in Eastern Myanmar.MethodsA cross-sectional survey was conducted during the high malaria seasons in the eastern part Myanmar between August and September 2014. Multi-staged cluster sampling was used to sample households. A series of questions related to treatment-seeking for fever were asked. Bivariate and multivariate logistic regressions were conducted to identify independent correlates of seeking treatment for fever from trained providers.ResultsThe analysis was restricted to 637 participants who reported either themselves or their family members having had fever 2ย weeks prior to the interview. In the multivariate analysis, rural residents were less likely to have sought treatment from trained providers (AORย =ย 0.60, 95ย % CI 0.42-0.88; pย =ย 0.01) while residents who had fever patients between the ages of 5 and 14ย years (AORย =ย 1.60, 95ย % CI 0.90-2.53; pย =ย 0.05); and those who knew that sleeping under bed nets can prevent malaria (AORย =ย 2.08, 95ย % CI 1.00-4.30; pย =ย 0.05); were borderline more likely to have sought treatment.ConclusionThis study suggests that rural populations need improved access to trained providers. Additionally, future programmes should focus on increasing knowledge around malaria prevention and treatment
Effect of leucaena forage and silage substitution in concentrates on digestibility, nitrogen utilization and milk yield in dairy cows
This experiment was conducted to determine the effect of feeding leucaena forage and silage substitution in concentrate on the performances of dairy cows. Nine cross-bred Holstein Friesian cows (410ยฑ12kg) in the 12th week of lactation were randomly allocated to one of three treatment groups with three replicates/treatments in a completely randomized design. The three treatments were control diet without substitution of leucaena forage and silage (DLFS0), diet with substitution of leucaena forage 10% (DLF10) and diet with substitution of leucaena silage 10% (DLS10). Cows were fed treatments for 60 days. Although nutrient intakes were not significantly different (p>0.05) each other, digestibility of DLFS0 was significantly higher (p<0.05) than others. Conversely, nitrogen utilization and average milk yield of cows offered DLFS0 were significantly lower (p<0.05) than those of cows fed on DLF10 and DLS10. The highest feed cost (p<0.05) per kg of milk was found in DLFS0 and the lowest cost was observed in DLF10. Therefore, although the leucana forage and silage could be substitute up to 10% of concentrates without adverse effects on the performances of dairy cows, the substitution of leucaena forage gave the better performances than that of leucaena silage
Who continues to stock oral artemisinin monotherapy? Results of a provider survey in Myanmar.
BackgroundArtemisinin-based combination therapy (ACT) is a key strategy for global malaria elimination efforts. However, the development of artemisinin-resistant malaria parasites threatens progress and continued usage of oral artemisinin monotherapies (AMT) predisposes the selection of drug resistant strains. This is particularly a problem along the Myanmar/Thailand border. The artemisinin monotherapy replacement programme (AMTR) was established in 2012 to remove oral AMT from stocks in Myanmar, specifically by replacing oral AMT with quality-assured ACT and conducting behavioural change communication activities to the outlets dispensing anti-malarial medications. This study attempts to quantify the characteristics of outlet providers who continue to stock oral AMT despite these concerted efforts.MethodsA cross-sectional survey of all types of private sector outlets that were stocking anti-malarial drugs in 13 townships of Eastern Myanmar was implemented from July to August 2014. A total of 573 outlets were included. Bivariate and multivariable logistic regressions were conducted to assess outlet and provider-level characteristics associated with stocking oral AMT.ResultsIn total, 2939 outlets in Eastern Myanmar were screened for presence of any anti-malarial drugs in August 2014. The study found that 573 (19.5ย %) had some kind of oral anti-malarial drug in stock at the time of survey and among them, 96 (16.8ย %) stocked oral AMT. In bivariate analyses, compared to health care facilities, itinerant drug vendors, retailers and health workers were less likely to stock oral AMT (33.3 vs 12.9, 10.0, 8.1ย %, ORย =ย 0.30, 0.22, 0.18, respectively). Providers who cut blister pack or sell partial courses (40.6 vs 11.7ย %, OR 5.18, CI 3.18-8.44) and those who based their stock decision on consumer demand (32.8 vs 12.1ย %, OR 3.54, CI 2.21-5.63) were more likely to stock oAMT. Multivariate logistic regressions produced similar significant associations.ConclusionPrivate healthcare facilities and drug shops and providers who prioritize consumers' demand instead of recommended practices were more likely to stock oral AMT. Malaria elimination strategies should include targeted interventions to effectively reach those outlets
Bioactive secondary metabolites from the culture of the marine sponge-associated fungus Neosartorya fennelliae KUFA 0811
Mango Andrew. Alexandre Jevakhoff Kemal Atatรผrk : Les chemins de l'Occident, 1989. In: CEMOTI, nยฐ20, 1995. Mรฉdias d'Iran et d'Asie Centrale. pp. 415-418
- โฆ