Mobile QR Code QR CODE : Journal of the Korean Society of Civil Engineers

  1. ํ•œํ™”๊ฑด์„ค ๋Œ€๋ฆฌ, ์„์‚ฌ๊ณผ์ • (Hanwha E&C Co.)
  2. ์ œ์ฃผ๋Œ€ํ•™๊ต ํ† ๋ชฉ๊ณตํ•™๊ณผ ๋ถ€๊ต์ˆ˜, ๊ณตํ•™๋ฐ•์‚ฌ (Jeju National University)


๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ, ๋ฌผ๊ฐ€๋ณด์ •, ์ง€์ˆ˜์กฐ์ •๋ฅ , ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„๊ณต์‚ฌ
GDP deflator of construction investment, Escalation, Index adjustment rating, Sewer rehabilitation project

  • 1. ์„œ ๋ก 

  •   1.1 ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ 

  •   1.2 ์—ฐ๊ตฌ์˜ ๋ฒ”์œ„ ๋ฐ ๋ฐฉ๋ฒ•

  • 2. ๋ฌผ๊ฐ€๋ณ€๋™์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋™ํ–ฅ ๋ถ„์„

  • 3. ๊ณ„์•ฝ๊ธˆ์•ก์กฐ์ •์— ๋Œ€ํ•œ ์ด๋ก ์  ๊ณ ์ฐฐ

  •   3.1 ๊ณ„์•ฝ๊ธˆ์•ก์กฐ์ •์˜ ๋ฒ•์  ๊ทผ๊ฑฐ

  •   3.2 ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹

  •   3.3 ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹

  • 4. ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ๋ถ„์„

  •   4.1 ๋ถ„์„ ๋Œ€์ƒ ์„ ์ •

  •   4.2 ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ  ๋น„๊ต ๋ถ„์„ : Aํ˜„์žฅ ์‚ฌ๋ก€

  •   4.2.1 ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹ ์ ์šฉ์‹œ ๋ฌผ๊ฐ€๋ณ€๋™ ๋ถ„์„

  •   4.2.2 ์ง€์ˆ˜์กฐ์ •๋ฐฉ์‹ ์ ์šฉ์‹œ ๋ฌผ๊ฐ€๋ณ€๋™ ๋ถ„์„

  •   4.2.3 ๋ฌผ๊ฐ€๋ณ€๋™ ๋น„๊ต ๋ถ„์„

  •   4.3 B~Fํ˜„์žฅ์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ  ๋น„๊ต ๋ถ„์„

  •   4.3.1 Bํ˜„์žฅ์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ๋น„๊ต ๋ถ„์„

  •   4.3.2 Cํ˜„์žฅ์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ๋น„๊ต ๋ถ„์„

  •   4.3.3 Dํ˜„์žฅ์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ๋น„๊ต ๋ถ„์„

  •   4.3.4 Eํ˜„์žฅ์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ๋น„๊ต ๋ถ„์„

  •   4.3.5 Fํ˜„์žฅ์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ๋น„๊ต ๋ถ„์„

  •   4.4 ์‚ฌ๋ก€๋ถ„์„ ์ข…ํ•ฉ ๋ฐ ๋ฌธ์ œ์  ๋ถ„์„

  • 5. ๊ฒฐ ๋ก 

1. ์„œ ๋ก 

1.1 ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ 

๋ฏผ๊ฐ„ํˆฌ์ž์ œ๋„๋Š” ๋ฏผ๊ฐ„๋ถ€๋ฌธ์ด ์ •๋ถ€ ๋˜๋Š” ์ง€๋ฐฉ์ž์น˜๋‹จ์ฒด๋ฅผ ๋Œ€์‹ ํ•˜์—ฌ ์‚ฌํšŒ๊ฐ„์ ‘์ž๋ณธ์‹œ์„ค์˜ ๊ฑด์„ค๊ณผ ์šด์˜์„ ์œ„ํ•œ ์žฌ์›์„ ์กฐ๋‹ฌํ•˜๊ณ  ๋Œ€์‹  ๊ณต๊ณต๋ถ€๋ฌธ์œผ๋กœ๋ถ€ํ„ฐ ์ผ์ •๋ฒ”์œ„ ๋‚ด SOC์‹œ์„ค์— ๋Œ€ํ•œ ์šด์˜ ๋ฐ ์ˆ˜์ต์„ ๋ณด์žฅ๋ฐ›๋Š” ์ œ๋„๋ฅผ ๋งํ•œ๋‹ค. ๋Œ€ํ‘œ์ ์ธ ๋ฏผ๊ฐ„ํˆฌ์ž์‚ฌ์—… ์ค‘์˜ ํ•˜๋‚˜์ธ ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…์€ 2005๋…„๋ถ€ํ„ฐ ์‹œ์ž‘๋˜์–ด 2011๋…„๊นŒ์ง€ 94๊ฐœ ์‚ฌ์—…์ด ๋ฐœ์ฃผ๋˜์–ด ์‹œ๊ณต ๋ฐ ์ค€๊ณต๋˜์–ด ์šด์˜ ์ค‘์— ์žˆ๋‹ค.

์ œ์ฃผํŠน๋ณ„์ž์น˜๋„์˜ ๊ฒฝ์šฐ 2006๋…„๋ถ€ํ„ฐ ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…์„ ์‹œํ–‰ํ•˜์—ฌ 2006๋…„๋„ 3๊ฐœ ์‚ฌ์—…, 2008๋…„๋„ 2๊ฐœ ์‚ฌ์—…, 2009๋…„๋„ 1๊ฐœ ์‚ฌ์—…, 2010๋…„๋„ 1๊ฐœ ์‚ฌ์—… ๋“ฑ ํ˜„์žฌ ์ด 7๊ฐœ ์‚ฌ์—…์— ๋Œ€ํ•˜์—ฌ ์‹œํ–‰ ๋˜๋Š” ์ค€๊ณต ํ›„ ์šด์˜ ์ค‘์ด๋‹ค(Kang, 2013). ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…์€ ์ „๊ตญ์ ์œผ๋กœ ๋ง‰๋Œ€ํ•œ ์‚ฌ์—…๋น„๊ฐ€ ๋“ค์–ด๊ฐ€๋Š” ๋งŒํผ ๊ทธ์— ๋”ฐ๋ฅธ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก๋„ ํด ์ˆ˜๋ฐ–์— ์—†๋‹ค.

์žฌ์ •์‚ฌ์—…์ด ๋ฌผ๊ฐ€๋ณ€๋™์— ๋”ฐ๋ฅธ ๊ณ„์•ฝ๊ธˆ์˜ ์กฐ์ •๋ฐฉ์‹์œผ๋กœ ์ง€์ˆ˜์กฐ์ • ๋ฐ ํ’ˆ๋ชฉ์กฐ์ •๋ฐฉ์‹์„ ์ ์šฉํ•˜๊ณ  ์žˆ๋Š” ๋ฐ˜๋ฉด, ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…์˜ ์ด๋ฏผ๊ฐ„ํˆฌ์ž๋น„์— ๋Œ€ํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๋น„๋Š” ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๊ณ  ์žˆ๋‹ค.

์ด์— ๋”ฐ๋ผ ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…์˜ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก ์‚ฐ์ •๋ฐฉ๋ฒ•(๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹)๊ณผ ์žฌ์ •์‚ฌ์—…์—์„œ์˜ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก ์‚ฐ์ •๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ๋น„๊ต ํ•„์š”์„ฑ์ด ๋Œ€๋‘๋˜๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ œ์ฃผํŠน๋ณ„์ž์น˜๋„์—์„œ ์‹œํ–‰๋œ ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…์„ ๋Œ€์ƒ์œผ๋กœ ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹๊ณผ ์žฌ์ •์‚ฌ์—…์—์„œ ์ฃผ๋กœ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋Š” ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์„ ํ†ตํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์˜ ์ฐจ์ด๋ฅผ ๋น„๊ต ๋ถ„์„ํ•ด ๋ณด๊ณ ์žํ•˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ๊ทธ ์‹œ์‚ฌ์ ์„ ๋„์ถœํ•ด ๋ณด๊ณ ์ž ํ•œ๋‹ค.

1.2 ์—ฐ๊ตฌ์˜ ๋ฒ”์œ„ ๋ฐ ๋ฐฉ๋ฒ•

๋ณธ ์—ฐ๊ตฌ๋Š” ์ œ์ฃผํŠน๋ณ„์ž์น˜๋„ ๋‚ด์—์„œ ์ค€๊ณต์„ ์™„๋ฃŒํ•œ 2006~2009๋…„ ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL 6๊ฐœ ์‚ฌ์—…์žฅ์— ๋Œ€ํ•œ ์ž๋ฃŒ๋ฅผ ๊ทผ๊ฑฐ๋กœ ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, 6๊ฐœ ์‚ฌ์—…์žฅ์— ๋Œ€ํ•œ ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์„ ํ™œ์šฉํ•˜์—ฌ ์‚ฐ์ถœํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก๊ณผ ์žฌ์ •์‚ฌ์—…์—์„œ ํ”ํžˆ ์‚ฌ์šฉํ•˜๋Š” ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์„ ํ™œ์šฉํ•˜์—ฌ ์‚ฐ์ถœํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์„ ๋น„๊ต ๋ถ„์„ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค.

๋ณธ ์—ฐ๊ตฌ์˜ ๊ฐ๊ด€์„ฑ์„ ์œ„ํ•ด ์•„๋ž˜์™€ ๊ฐ™์€ ๋ฐฉ๋ฒ•์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค.

๋จผ์ €, ๋ฌผ๊ฐ€๋ณ€๋™์— ๋”ฐ๋ฅธ ๊ณ„์•ฝ๊ธˆ์•ก์กฐ์ •์— ๋Œ€ํ•œ ๊ทœ์ • ๋ฐ ์ด๋ก ์  ๊ณ ์ฐฐ์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋˜ํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๊ณผ ๊ด€๋ จ๋œ ๊ธฐ์กด์˜ ๋ฌธํ—Œ ๋ฐ ์—ฐ๊ตฌ๋™ํ–ฅ์„ ๋ถ„์„ํ•˜์—ฌ ์—ฐ๊ตฌ์˜ ์ฐจ๋ณ„ํ™”๋ฅผ ์‹œ๋„ํ•˜์˜€๋‹ค.

์ œ์ฃผํŠน๋ณ„์ž์น˜๋„์—์„œ ์ค€๊ณต์„ ์™„๋ฃŒํ•œ ์ œ์ฃผ์๋ฉด์ง€์—ญ๊ณผ ์„œ๊ท€ํฌ์๋ฉด์ง€์—ญ ๋ฐ ๋™์ง€์—ญ์˜ 6๊ฐœ ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…์— ๋Œ€ํ•œ ๊ณต์‚ฌ๋น„ ์ž๋ฃŒ๋ฅผ ์ทจ๋“ ๋ฐ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ† ๋Œ€๋กœ ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ๋ฐฉ์‹์— ๋”ฐ๋ฅธ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์„ ์‚ฐ์ถœํ•˜์˜€๋‹ค. 6๊ฐœ ์‚ฌ์—…์— ๋Œ€ํ•œ ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์— ์žˆ์–ด์„œ๋Š” ๋ฌผ๊ฐ€๋ณ€๋™์ ์šฉ๋Œ€๊ฐ€์˜ ์ˆœ๊ณต์‚ฌ์›๊ฐ€๋ฅผ ๊ตฌ์„ฑํ•˜๋Š” ์ œ๋น„๋ชฉ์„ 15์ข…์˜ ๋น„๋ชฉ๊ตฐ์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜๊ณ  ๊ฐ ๋น„๋ชฉ๊ตฐ๋ณ„๋กœ ์ง€์ˆ˜๋ณ€๋™๋ฅ ์„ ์‚ฐ์ถœํ•˜์˜€์œผ๋ฉฐ, ๋น„๋ชฉ๊ตฐ์— ๋Œ€ํ•œ ๊ธˆ์•ก ๊ฐ€์ค‘์น˜ ๊ณ„์ˆ˜๋ฅผ ์‚ฐ์ถœํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ† ๋Œ€๋กœ ์ง€์ˆ˜์กฐ์ •๋ฅ ์„ ์‚ฐ์ถœํ•˜์—ฌ ๊ณ„์•ฝ๊ธˆ์•ก ์ฆ๊ฐ์•ก์„ ์‚ฐ์ถœํ•˜์˜€๋‹ค. ํŠนํžˆ ๊ณ„์•ฝ๊ธˆ์•ก์กฐ์ •์— ๋Œ€ํ•œ ๊ทœ์ •์„ ๊ทผ๊ฑฐ๋กœ ํ•˜์—ฌ ๋ฌผ๊ฐ€๋ณ€๋™์ด ๊ฐ€๋Šฅํ•œ ์‹œ์ ์—์„œ ๋งคํšŒ ๊ณ„์•ฝ๊ธˆ์•ก ์กฐ์ •์•ก์„ ์‚ฐ์ถœํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ๋ฐฉ์‹์— ๋”ฐ๋ฅธ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก๊ณผ ์ง€์ˆ˜์กฐ์ •๋ฐฉ์‹์— ๋”ฐ๋ฅธ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์„ ๋น„๊ต ๋ถ„์„ํ•˜์˜€๋‹ค.

2. ๋ฌผ๊ฐ€๋ณ€๋™์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋™ํ–ฅ ๋ถ„์„

๋ฌผ๊ฐ€๋ณ€๋™์— ๋”ฐ๋ฅธ ๊ณ„์•ฝ๊ธˆ์•ก์กฐ์ •๊ณผ ๊ด€๋ จ๋œ ์—ฐ๊ตฌ๋Š” ์กฐ์ •๋ฐฉ์‹์˜ ์ •์ฑ…์  ์ ์šฉ์— ๋”ฐ๋ฅธ ๋ฌธ์ œ์ ๊ณผ ์กฐ์ •๋ฐฉ์‹์˜ ํ•ฉ๋ฆฌ์„ฑ์— ์ดˆ์ ์„ ๋งž์ถ”์–ด ์ง„ํ–‰๋˜๊ณ  ์žˆ๋Š” ์‹ค์ •์ด๋‹ค.

Park (2005)์€ ๋ฌผ๊ฐ€๋ณ€๋™์œผ๋กœ ์ธํ•œ ๊ณ„์•ฝ๊ธˆ์•ก์กฐ์ • ์‚ฌ๋ก€ ๋ฐ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ํ†ตํ•˜์—ฌ ๋ฌผ๊ฐ€๋ณ€๋™ ์‚ฐ์ถœ๊ณผ์ •์— ๋Œ€ํ•œ ๋ฌธ์ œ์ ์„ ๋ถ„์„ํ•˜๊ณ  ๋ฌผ๊ฐ€๋ณ€๋™์ œ๋„์˜ ๊ฐœ์„ ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ํŠนํžˆ ๋ฌผ๊ฐ€๋ณ€๋™์กฐ์ • ํ›„ ์„ค๊ณ„๋ณ€๊ฒฝ์— ๋”ฐ๋ฅธ ๋ฌผ๊ฐ€์ƒ์Šน๊ธˆ์•ก์˜ ์ •์‚ฐ ์‚ฌ๋ก€๋ฅผ ํ†ตํ•ด ์ •์‚ฐ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜์˜€๋‹ค.

Jeong (2008)์€ ์‚ฌ๋ก€๋ถ„์„์„ ํ†ตํ•˜์—ฌ ๋ฌผ๊ฐ€๋ณ€๋™์— ๋”ฐ๋ฅธ ์‹ค์ ๊ณต์‚ฌ๋น„ ๋“ฑ๋ฝ๋ฅ  ์‚ฐ์ถœ์˜ ๋ฌธ์ œ์  ๋ฐ ๊ฐœ์„ ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๋ฌธ์ œ์ ์œผ๋กœ๋Š” ์‹ค์ ๊ณต์‚ฌ๋น„์ง€์ˆ˜๋Š” ๊ณผ๊ฑฐ ๊ณ„์•ฝ๋‹จ๊ฐ€์ธ ์‹ค์ ๊ณต์‚ฌ๋น„๋ฅผ ์ง€์ˆ˜ํ™”ํ•œ ๊ฒƒ์ด๋ฏ€๋กœ, ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ  ์‚ฐ์ถœ์— ๋Œ€ํ•œ ๊ทผ๊ฑฐ๋กœ ๋ถ€์ ์ ˆํ•จ๊ณผ ๊ฑด์„ค๊ณต์‚ฌ๋น„์ง€์ˆ˜๋Š” ๊ฑด์„ค๊ณต์‚ฌ์—์„œ ๋Œ€ํ‘œ์ ์œผ๋กœ ์‚ฌ์šฉ๋˜๋Š” ์š”์†Œ๋“ค์— ๋Œ€ํ•œ ํ‰๊ท ์ ์ธ ๋ฌผ๊ฐ€๋ณ€๋™๋ถ„์„ ๋ฐ˜์˜ํ•˜์—ฌ ์‚ฐ์ถœ๋œ ์ง€์ˆ˜์ด๋‚˜ ํŠน์ • ๊ณต์‚ฌ์˜ ์„ธ๋ถ€ ๋‚ด์—ญ์„ ๋ชจ๋‘ ๊ณ ๋ คํ•˜์—ฌ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์„ ์‚ฐ์ถœํ•˜๊ธฐ์— ๋ถ€์ ์ ˆํ•จ์„ ์ง€์ ํ•˜์˜€๋‹ค. ๊ทธ์— ๋”ฐ๋ฅธ ๊ฐœ์„ ์‚ฌํ•ญ์œผ๋กœ๋Š” ๋ฒ•๋ น ๊ฐœ์ •์ด ์ด๋ฃจ์–ด์ ธ์•ผ ํ•˜๋ฉฐ, ์„ธ๋ถ€์ ์œผ๋กœ ๊ฑด์„ค๊ณต์‚ฌ๋น„์ง€์ˆ˜ ๊ฐœ๋ฐœ์ด ํ•„์š”ํ•˜๋‹ค๊ณ  ์ œ์‹œํ•˜์˜€๋‹ค(Hong et al, 2014).

Hong et al. (2014)๋Š” ์ œ์ฃผํŠน๋ณ„์ž์น˜๋„๋‚ด ์‹ค์ ๊ณต์‚ฌ๋น„๊ฐ€ ์ ์šฉ๋œ ๋„๋กœํ˜„์žฅ์— ๋Œ€ํ•œ ์‹ค์ ๊ณต์‚ฌ๋น„์˜ ์ง€์ˆ˜์กฐ์ •๋ฅ ๋ฐฉ์‹๊ณผ ํ‘œ์ค€ํ’ˆ์…ˆ ๊ทธ๋ฆฌ๊ณ  ๊ฑด์„ค๊ณต์‚ฌ๋น„์ง€์ˆ˜์— ๋”ฐ๋ฅธ ์กฐ์ •์— ๋Œ€ํ•œ ์‚ฌ๋ก€๋ถ„์„์„ ํ†ตํ•˜์—ฌ ์‹ค์ ๊ณต์‚ฌ๋น„ ๋“ฑ๋ฝ๋ฅ  ์‚ฐ์ถœ์— ๋Œ€ํ•œ ๋ฌธ์ œ์ ์„ ๋„์ถœํ•˜๊ณ  ๊ฐœ์„ ๋ฐฉ์•ˆ์„ ์ œ์•ˆํ•˜์˜€๋‹ค.

ํ˜„์žฌ๊นŒ์ง€ ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL ์‚ฌ์—…์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ๋ฌผ๊ฐ€๋ณ€๋™๋น„ ๋น„๊ต๋ถ„์„์— ๊ด€ํ•œ ์—ฐ๊ตฌ๋Š” ์•„์ง ๋ฏธํกํ•˜๋ฉฐ ์œ ์ผํ•˜๊ฒŒ Oh (2012)์˜ ์—ฐ๊ตฌ์‚ฌ๋ก€๊ฐ€ ์ œ์‹œ๋˜๊ณ  ์žˆ๋‹ค.

Oh (2012)์€ ๊ธฐ์กด ์žฌ์ •์‚ฌ์—…์—์„œ์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ์‚ฐ์ •๋ฐฉ์‹(์ง€์ˆ˜์กฐ์ •๋ฅ )๊ณผ GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์˜ ๊ทผ๋ณธ์ ์ธ ์ฐจ์ด์ ์„ ๋ถ„์„ํ•˜๊ณ  ๋ฐœ์ฃผ์ฒ˜ ์ž…์žฅ์—์„œ์˜ BTL ์‚ฌ์—…๋น„ ์ธก๋ฉด๊ณผ ๊ฑด์„ค์‚ฌ ์ž…์žฅ์—์„œ์˜ ๋ณ€๋™์„ฑ ๋ถˆํ™•์‹ค์„ฑ์— ๋”ฐ๋ฅธ ๋ฆฌ์Šคํฌ ์ €๊ฐ๋ฐฉ์•ˆ์„ ๋ถ„์„ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด์— ๋”ฐ๋ฅธ ๊ฐœ์„ ๋ฐฉํ–ฅ์œผ๋กœ๋Š” BTL ์‚ฌ์—…์€ ๋ฐœ์ฃผ์ฒ˜ ํŠน์„ฑ์ƒ ์šด์˜๊ธฐ๊ฐ„์„ ํฌํ•จํ•œ ์žฌ๋ฌด๋ชจ๋ธ์„ ์ˆ˜๋ฆฝํ•˜์—ฌ ๋‹ค์ˆ˜์˜ ํ”„๋กœ์ ํŠธ๋ฅผ ์šด์˜ํ•˜๋Š” ์ธก๋ฉด์—์„œ๋Š” ์žฅ์ ์ด ์žˆ์ง€๋งŒ ๊ฐ ํ”„๋กœ์ ํŠธ๋ณ„ ๋ฌผ๊ฐ€์ƒ์Šน์˜ ๊ฐ๊ด€์  ์ง€ํ‘œ๋ฅผ ๋ฐ˜์˜ํ•˜๋Š” ์ ์—์„œ๋Š” ํ•œ๊ณ„๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ๊ธฐ ๋•Œ๋ฌธ์—, ํ˜„์žฌ BTL์‚ฌ์—…์—์„œ์˜ ์ ์šฉ๋˜๊ณ  ์žˆ๋Š” ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ์˜ ์ ์šฉ์„ ์ง€์–‘ํ•˜๊ณ , ์‹ค์ œ ํ”„๋กœ์ ํŠธ์˜ ๋‚ด์—ญ์ด ๋ฐ˜์˜๋œ ์ง€์ˆ˜์กฐ์ •๋ฅ ์ด๋‚˜ ํ’ˆ๋ชฉ์กฐ์ •๋ฅ ์„ ์ ์šฉํ•ด์•ผ ํ•จ์„ ์—ญ์„คํ•˜๊ณ  ์žˆ๋‹ค.

์ด์™€ ๊ฐ™์ด ๊ธฐ์กด์˜ ์—ฐ๊ตฌ๋Š” ๋ฌผ๊ฐ€๋ณ€๋™์— ๋Œ€ํ•œ ๊ณ„์•ฝ๊ธˆ์•ก์กฐ์ •๋ฐฉ์‹์˜ ์ •์ฑ…์  ์ ์šฉ๊ณผ ํ’ˆ๋ชฉ์กฐ์ •๋ฅ /์ง€์ˆ˜์กฐ์ •๋ฅ ์— ๋Œ€ํ•œ ์ ์šฉ ํ•ฉ๋ฆฌ์„ฑ์— ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ๊ธฐ์กด์˜ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๊ฐ€ ๋งค์šฐ ์œ ์˜๋ฏธํ•œ ๊ฒฐ๊ณผ์ด์ง€๋งŒ, ์—ฐ๊ตฌ๋ฒ”์œ„๊ฐ€ ๊ฑด์„ค๊ณต์‚ฌ ์ „๋ฐ˜์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜๊ณ  ์žˆ์„ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๊ฐ€ ํŠน์ •์œ ํ˜•์˜ ํ”„๋กœ์ ํŠธ์— ์ ์šฉํ•จ์— ์žˆ์–ด์„œ ํ•œ๊ณ„์ ์„ ๋‚ดํฌํ•˜๊ณ  ์žˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…๊ณผ ๊ฐ™์€ ํŠน์ • ์œ ํ˜•์˜ ๊ฑด์„ค ํ”„๋กœ์ ํŠธ์— ์ ์šฉ๋˜๊ณ  ์žˆ๋Š” ๊ฑด์„ค GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ๋ฐฉ์‹์— ๋Œ€ํ•œ ๋น„๊ต ๋ถ„์„์€ ์‚ฌ๋ก€๊ฐ€ ๋ถ€์กฑํ•œ ์‹ค์ •์ด์–ด์„œ, ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…์— ์žˆ์–ด์„œ ๋ฌผ๊ฐ€์กฐ์ •์— ๋”ฐ๋ฅธ ์ •์ฑ…์ ์ธ ๊ณ ๋ ค์‚ฌํ•ญ์€ ์ œ์‹œ๊ฐ€ ๋˜์ง€ ๋ชปํ•˜๋Š” ์žˆ๋Š” ์‹ค์ •์ด๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ œ์ฃผํŠน๋ณ„์ž์น˜๋„ ๋‚ด์—์„œ ์ค€๊ณต ์™„๋ฃŒ๋œ ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…์„ ๋Œ€์ƒ์œผ๋กœ ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹๊ณผ ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์— ๋”ฐ๋ฅธ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์„ ๋น„๊ต ๋ถ„์„ํ•จ์œผ๋กœ์จ ์‹œ์‚ฌ์ ์„ ๋„์ถœํ•˜๊ณ ์ž ํ•œ๋‹ค.

3. ๊ณ„์•ฝ๊ธˆ์•ก์กฐ์ •์— ๋Œ€ํ•œ ์ด๋ก ์  ๊ณ ์ฐฐ

3.1 ๊ณ„์•ฝ๊ธˆ์•ก์กฐ์ •์˜ ๋ฒ•์  ๊ทผ๊ฑฐ

๋ฌผ๊ฐ€๋ณ€๋™์œผ๋กœ ์ธํ•œ ๊ณ„์•ฝ๊ธˆ์•ก์˜ ์กฐ์ •์€ โ€˜๊ตญ๊ฐ€๋ฅผ ๋‹น์‚ฌ์ž๋กœ ํ•˜๋Š” ๊ณ„์•ฝ์— ๊ด€ํ•œ ๋ฒ•๋ฅ  ์‹œํ–‰๋ นโ€™ ์ œ64์กฐ์—์„œ ์–ธ๊ธ‰ํ•˜๊ณ  ์žˆ๋‹ค. ๊ฐ ์ค‘์•™๊ด€์„œ์˜ ์žฅ ๋˜๋Š” ๊ณ„์•ฝ๋‹ด๋‹น๊ณต๋ฌด์›์€ ๋ฒ• ์ œ19์กฐ์˜ ๊ทœ์ •์— ์˜ํ•˜์—ฌ ๊ตญ๊ณ ์˜ ๋ถ€๋‹ด์ด ๋˜๋Š” ๊ณ„์•ฝ์„ ์ฒด๊ฒฐ(์žฅ๊ธฐ๊ณ„์†๊ณต์‚ฌ ๋ฐ ์žฅ๊ธฐ๋ฌผํ’ˆ์ œ์กฐ ๋“ฑ์˜ ๊ฒฝ์šฐ์—๋Š” ์ œ1์ฐจ ๊ณ„์•ฝ์˜ ์ฒด๊ฒฐ์„ ๋งํ•œ๋‹ค)ํ•œ ๋‚ ๋ถ€ํ„ฐ 90์ผ ์ด์ƒ ๊ฒฝ๊ณผํ•˜๊ณ  ๋™์‹œ์— ๋‹ค์Œ ๊ฐ ํ˜ธ์˜ ์–ด๋Š ํ•˜๋‚˜์— ํ•ด๋‹น๋˜๋Š” ๋•Œ์—๋Š” ๊ธฐํš์žฌ์ •๋ถ€๋ น์ด ์ •ํ•˜๋Š” ๋ฐ”์— ์˜ํ•˜์—ฌ ๊ณ„์•ฝ๊ธˆ์•ก(์žฅ๊ธฐ๊ณ„์†๊ณต์‚ฌ ๋ฐ ์žฅ๊ธฐ๋ฌผํ’ˆ์ œ์กฐ ๋“ฑ์˜ ๊ฒฝ์šฐ์—๋Š” ์ œ1์ฐจ ๊ณ„์•ฝ์ฒด๊ฒฐ์‹œ ๋ถ€๊ธฐํ•œ ์ด๊ณต์‚ฌ ๋ฐ ์ด์ œ์กฐ ๋“ฑ์˜ ๊ธˆ์•ก์„ ๋งํ•œ๋‹ค)์„ ์กฐ์ •ํ•œ๋‹ค. ์ด ๊ฒฝ์šฐ ์กฐ์ •๊ธฐ์ค€์ผ(์กฐ์ •์‚ฌ์œ ๊ฐ€ ๋ฐœ์ƒํ•œ ๋‚ ์„ ๋งํ•œ๋‹ค)๋ถ€ํ„ฐ 90์ผ ์ด๋‚ด์—๋Š” ์ด๋ฅผ ๋‹ค์‹œ ์กฐ์ •ํ•˜์ง€ ๋ชปํ•œ๋‹ค.

โ‘ ์ž…์ฐฐ์ผ(์ˆ˜์˜๊ณ„์•ฝ์˜ ๊ฒฝ์šฐ์—๋Š” ๊ณ„์•ฝ์ฒด๊ฒฐ์ผ์„, 2์ฐจ ์ดํ›„์˜ ๊ณ„์•ฝ๊ธˆ์•ก ์กฐ์ •์— ์žˆ์–ด์„œ๋Š” ์ง์ „ ์กฐ์ •๊ธฐ์ค€์ผ์„ ๋งํ•œ๋‹ค)์„ ๊ธฐ์ค€์ผ๋กœ ํ•˜์—ฌ ๊ธฐํš์žฌ์ •๋ถ€๋ น์ด ์ •ํ•˜๋Š” ๋ฐ”์— ์˜ํ•˜์—ฌ ์‚ฐ์ถœ๋œ ํ’ˆ๋ชฉ์กฐ์ •๋ฅ ์ด 100๋ถ„์˜ 3 ์ด์ƒ ์ฆ๊ฐ๋œ ๋•Œ,

โ‘ก์ž…์ฐฐ์ผ์„ ๊ธฐ์ค€์ผ๋กœ ํ•˜์—ฌ ๊ธฐํš์žฌ์ •๋ถ€๋ น์ด ์ •ํ•˜๋Š” ๋ฐ”์— ์˜ํ•˜์—ฌ ์‚ฐ์ถœ๋œ ์ง€์ˆ˜์กฐ์ •๋ฅ ์ด 100๋ถ„์˜ 3 ์ด์ƒ ์ฆ๊ฐ๋œ ๋•Œ

3.2 ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹

์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์€ ๊ณ„์•ฝ๊ธˆ์•ก์„ ๊ตฌ์„ฑํ•˜๋Š” ๋น„๋ชฉ์„ ์œ ํ˜•๋ณ„๋กœ ์ •๋ฆฌํ•˜์—ฌ โ€˜๋น„๋ชฉ๊ตฐโ€™์„ ํŽธ์„ฑํ•˜๊ณ  ๊ฐ ๋น„๋ชฉ๊ตฐ์˜ ์ˆœ๊ณต์‚ฌ์›๊ฐ€์— ๋Œ€ํ•œ ๊ณ„์ˆ˜(๊ฐ€์ค‘์น˜)๋ฅผ ์‚ฐ์ •ํ•œ ํ›„ ๋น„๋ชฉ๊ตฐ๋ณ„๋กœ ํ•œ๊ตญ์€ํ–‰์ด ๋งค์›” ๊ณตํ‘œํ•˜๊ณ  ์žˆ๋Š” ํ†ต๊ณ„์›”๋ณด์ƒ์˜ ์ƒ์‚ฐ์ž๋ฌผ๊ฐ€ ๊ธฐ๋ณธ๋ถ„๋ฅ˜์ง€์ˆ˜ ๋“ฑ์„ ๋Œ€๋น„ํ•˜์—ฌ ์ง€์ˆ˜์กฐ์ •๋ฅ (K)์„ ์‚ฐ์ถœํ•˜์—ฌ ๊ณ„์•ฝ๊ธˆ์•ก์„ ์กฐ์ •ํ•˜๋Š” ๊ฒƒ์„ ๋งํ•œ๋‹ค. ์ง€์ˆ˜์กฐ์ •๋ฅ (K)๊ฐ€ 100๋ถ„์˜ 3์ด์ƒ์ธ ๋•Œ ๊ทธ ์ฆ๊ฐ์•ก์„ ์‚ฐ์ถœํ•˜์—ฌ ๊ณ„์•ฝ๊ธˆ์•ก์„ ์กฐ์ •ํ•˜๋Š” ๋ฐฉ๋ฒ•์œผ๋กœ์„œ ๊ณ„์•ฝ์˜ˆ๊ทœ โ€˜์ •๋ถ€ ์ž…์ฐฐโ€ค๊ณ„์•ฝ ์ง‘ํ–‰ ๊ธฐ์ค€โ€™์— ๊ทธ ์‚ฐ์ถœ๋ฐฉ๋ฒ•์ด ์ž์„ธํ•˜๊ฒŒ ๊ทœ์ •๋˜์–ด ์žˆ์œผ๋ฉฐ ๋‹ค์Œ ์ˆœ์„œ์— ๋”ฐ๋ผ ์กฐ์ •ํ•œ๋‹ค.

โ‘ ๋ฌผ๊ฐ€๋ณ€๋™์ ์šฉ๋Œ€๊ฐ€์˜ ์ˆœ๊ณต์‚ฌ์›๊ฐ€๋ฅผ ๊ตฌ์„ฑํ•˜๋Š” ์ œ ๋น„๋ชฉ์„ 15์ข…์˜ โ€˜๋น„๋ชฉ๊ตฐโ€™์œผ๋กœ ๋ถ„๋ฅ˜

โ‘ก๋น„๋ชฉ๊ตฐ๋ณ„ ์ ์šฉ๋˜๋Š” ์ง€์ˆ˜์— ์˜ํ•˜์—ฌ โ€˜์ง€์ˆ˜๋ณ€๋™๋ฅ โ€™์„ ์‚ฐ์ถœ

โ‘ข์ˆœ๊ณต์‚ฌ์›๊ฐ€์— ๋Œ€ํ•œ ๋น„๋ชฉ๊ตฐ ๊ธˆ์•ก์˜ ๋น„์œจ๋กœ ๊ฐ€์ค‘์น˜ โ€˜๊ณ„์ˆ˜โ€™๋ฅผ ์‚ฐ์ถœ

โ‘ฃ๋น„๋ชฉ๊ตฐ๋ณ„ ์ง€์ˆ˜๋ณ€๋™๋ฅ ์— ๊ณ„์ˆ˜๋ฅผ ๊ณฑํ•˜์—ฌ ์ง‘๊ณ„ํ•œ โ€˜์ง€์ˆ˜์กฐ์ •๋ฅ โ€™์„ ์‚ฐ์ถœ

โ‘ค์ง€์ˆ˜์กฐ์ •๋ฅ ์„ ๋ฌผ๊ฐ€๋ณ€๋™ ์ ์šฉ๋Œ€๊ฐ€์— ๊ณฑํ•˜์—ฌ โ€˜๊ณ„์•ฝ๊ธˆ์•ก ์ฆ๊ฐ์•กโ€™์„ ์‚ฐ์ถœ

โ‘ฅ์ผ๋ฐ˜๊ด€๋ฆฌ๋น„โ€ค์ด์œค ๋ฐ ๋ถ€๊ฐ€๊ฐ€์น˜์„ธ๋Š” ๊ณ„์•ฝ๋‹น์‹œ ์ ์šฉ์œจ์„ ๋ฐ˜์˜, ์ง‘๊ณ„

โ‘ฆ์ง‘๊ณ„ํ•œ ์ง€์ˆ˜์กฐ์ •๋ฅ ์ด 3% ์ด์ƒ์ธ ๊ฒฝ์šฐ์— ๊ทธ ๋“ฑ๋ฝํญ์„ โ€˜๊ณ„์•ฝ๊ธˆ์•ก ์ฆ๊ฐ์•กโ€™์œผ๋กœ ์‚ฐ์ •

โ‘ง์„ ๊ธ‰์ด ์žˆ์„ ๊ฒฝ์šฐ ์„ ๊ธˆ ์ง€๊ธ‰์œจ๋กœ ์ฐจ๊ฐ ์ง€๊ธ‰

3.3 ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹

GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ๋Š” ๋ช…๋ชฉ GDP๋ฅผ ์‹ค์งˆ GDP๋กœ ๋‚˜๋ˆ„๊ณ  100์„ ๊ณฑํ•œ ๊ฐ’(GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ=(๋ช…๋ชฉ GDP/์‹ค์งˆ GDP)ร—100)์ด๋‹ค. ์ด๋•Œ ๋ช…๋ชฉ GDP๋ž€ ๋‹นํ•ด์—ฐ๋„์˜ ์ด์ƒ์‚ฐ๋ฌผ์„ ๋‹นํ•ด์—ฐ๋„์˜ ๊ฐ€๊ฒฉ(๊ฒฝ์ƒ๊ฐ€๊ฒฉ)์œผ๋กœ ๊ณ„์‚ฐํ•œ GDP์ด๊ณ , ์‹ค์งˆ GDP๋ž€ ๋‹นํ•ด์—ฐ๋„์˜ ์ด์ƒ์‚ฐ๋ฌผ์„ ๊ธฐ์ค€์—ฐ๋„์˜ ๊ฐ€๊ฒฉ(๋ถˆ๋ณ€๊ฐ€๊ฒฉ)์œผ๋กœ ๊ณ„์‚ฐํ•œ GDP๋ฅผ ๋งํ•œ๋‹ค. ์—ฌ๊ธฐ์„œ ๋ช…๋ชฉ ๊ตญ๋‚ด์ด์ƒ์‚ฐ(GDP valued at current prices)์€ ๊ฒฝ์ œ๊ทœ๋ชจ ๋“ฑ์˜ ํŒŒ์•…์— ์ด์šฉ๋˜๋Š” ์ง€ํ‘œ๋กœ์„œ ๊ตญ๋‚ด์—์„œ ์ƒ์‚ฐ๋œ ์ตœ์ข…์ƒ์‚ฐ๋ฌผ์˜ ์ˆ˜๋Ÿ‰์— ๊ทธ ๋•Œ์˜ ๊ฐ€๊ฒฉ์„ ๊ณฑํ•˜์—ฌ ์‚ฐ์ถœํ•˜๋ฏ€๋กœ ๋ช…๋ชฉ GDP์˜ ๋ณ€๋™๋ถ„์€ ์ตœ์ข…์ƒ์‚ฐ๋ฌผ์˜ ์ˆ˜๋Ÿ‰๊ณผ ๊ฐ€๊ฒฉ๋ณ€๋™๋ถ„์ด ํ˜ผ์žฌ๋˜์–ด ์žˆ๊ณ , ์‹ค์งˆ ๊ตญ๋‚ด์ด์ƒ์‚ฐ(GDP valued at xxxx constant prices)์€ ๊ตญ๋‚ด๊ฒฝ์ œ์˜ ์ƒ์‚ฐํ™œ๋™ ๋™ํ–ฅ์„ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฒฝ์ œ์„ฑ์žฅ๋ฅ  ์‚ฐ์ •์— ์ด์šฉ๋˜๋Š” ์ง€ํ‘œ๋กœ์„œ ๊ตญ๋‚ด์—์„œ ์ƒ์‚ฐ๋œ ์ตœ์ข…์ƒ์‚ฐ๋ฌผ์˜ ์ˆ˜๋Ÿ‰์— ๊ธฐ์ค€๋…„๋„(xxxx๋…„, ํ˜„์žฌ 2000๋…„)์˜ ๊ฐ€๊ฒฉ์„ ๊ณฑํ•˜์—ฌ ์‚ฐ์ถœํ•œ ๋ฌผ๋Ÿ‰์ธก์ •์น˜์ด๋ฏ€๋กœ ์‹ค์งˆ GDP์˜ ๋ณ€๋™๋ถ„์€ ๊ฐ€๊ฒฉ ๋ณ€ํ™”๋ถ„์„ ์ œ๊ฑฐํ•œ ์ˆœ์ˆ˜ํ•œ ์ƒ์‚ฐ์ˆ˜๋Ÿ‰์˜ ๋ณ€๋™๋ถ„๋งŒ์„ ๋‚˜ํƒ€๋‚ธ๋‹ค(The Bank of Korea, 2014).

๋Œ€ํ‘œ์ ์ธ ๋ฌผ๊ฐ€์ง€์ˆ˜์ธ ์†Œ๋น„์ž๋ฌผ๊ฐ€์ง€์ˆ˜์˜ ๊ฒฝ์šฐ ์†Œ๋น„์ž๊ฐ€ ๊ตฌ์ž…ํ•˜๋Š” ์žฌํ™”์™€ ์„œ๋น„์Šค๋ฅผ ๊ธฐ์ค€์œผ๋กœ ์‚ฐ์ถœํ•˜๊ณ , GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ์˜ ๊ฒฝ์šฐ ์ผ์ •๊ธฐ๊ฐ„ ๋™์•ˆ ๊ตญ๋‚ด์—์„œ ์ผ์–ด๋‚œ ๋ชจ๋“  ๊ฒฝ์ œํ™œ๋™(๊ฐ€๊ณ„์†Œ๋น„, ์ˆ˜์ถœ, ํˆฌ์ž, ์ •๋ถ€์ง€์ถœ ๋“ฑ)์„ ํฌ๊ด„ํ•˜์—ฌ ์‚ฐ์ถœํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋ฏ€๋กœ ์†Œ๋น„์ž๊ฐ€ ์ง์ ‘์ ์œผ๋กœ ์˜ํ–ฅ์„ ๋ฐ›๋Š” ๋ฌผ๊ฐ€๋ณ€๋™์„ ์ธก์ •ํ•  ๋•Œ์—๋Š” ์†Œ๋น„์ž๋ฌผ๊ฐ€์ง€์ˆ˜, ๊ตญ๊ฐ€์˜ ์ด์ฒด์ ์ธ ๋ฌผ๊ฐ€๋ณ€๋™์„ ์ธก์ •ํ•  ๋•Œ์—๋Š” GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜๊ฒŒ ๋œ๋‹ค.

๊ฑด์„คํˆฌ์ž GDP๋””ํ”Œ๋ ˆ์ดํ„ฐ๋Š” GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ์‚ฐ์ถœ์— ์‚ฌ์šฉ๋˜๋Š” ์ผ๋ถ€ ์ค‘์˜ ํ•˜๋‚˜์ด๋‹ค. GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฌผ๊ฐ€๋ณ€๋™ ์‚ฐ์ถœ๋ฐฉ์‹์€ ๋ณดํ†ต BTL์‚ฌ์—…์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ์‚ฐ์ •์— ์‚ฌ์šฉ๋˜์–ด ์ง€๋ฉฐ, ํ’ˆ๋ชฉ์กฐ์ •๋ฅ  ๋ฐ ์ง€์ˆ˜์กฐ์ •๋ฅ ์— ๋น„ํ•ด ์ •ํ™•๋„๊ฐ€ ๋–จ์–ด์งˆ ์ˆ˜ ์žˆ์œผ๋‚˜ ํ•œ๊ตญ์€ํ–‰์—์„œ ๋ฐœํ‘œํ•œ ์ž๋ฃŒ๋ฅผ ๊ทผ๊ฑฐ๋กœ ํ•˜์—ฌ ์†์‰ฝ๊ฒŒ ๊ณ„์‚ฐ์„ ํ•  ์ˆ˜ ์žˆ๋Š” ์žฅ์ ์ด ์žˆ๋‹ค.

4. ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ๋ถ„์„

4.1 ๋ถ„์„ ๋Œ€์ƒ ์„ ์ •

์ œ์ฃผํŠน๋ณ„์ž์น˜๋„๋‚ด ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…ํ˜„์žฅ ์ค‘์—์„œ 2014๋…„ 7์›” ๊ธฐ์ค€์œผ๋กœ ์ค€๊ณต์™„๋ฃŒ๋œ ํ˜„์žฅ์€ 06๋…„ ์‚ฌ์—… 3๊ฐœ์†Œ, 08๋…„ ์‚ฌ์—… 2๊ฐœ์†Œ, 09๋…„ ์‚ฌ์—… 1๊ฐœ์†Œ๋กœ ์ด 6๊ฐœ ํ˜„์žฅ์ด ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋„๋‚ด์—์„œ ์ค€๊ณต ์™„๋ฃŒ๋œ ๋ชจ๋“  ํ˜„์žฅ(6๊ฐœ ํ˜„์žฅ)์„ ๋ถ„์„ ๋Œ€์ƒ์œผ๋กœ ์„ ์ •ํ•˜์˜€์œผ๋ฉฐ, ๋ถ„์„ ๋Œ€์ƒํ˜„์žฅ์€ ๋ฌผ๊ฐ€์กฐ์ •๋ฐฉ์‹์œผ๋กœ ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์„ ํ™œ์šฉํ•˜๊ณ  ์žˆ๋‹ค(Table 1).

Table 1. Data collection of BTL sewer rehabilitation projects

Division

A project

B project

C project

D project

E project

F project

Notification day

2006.10.16

2006.10.16

2006.10.13

2008.12.23

2008.12.23

2009.09.30

Contract day

2008.03.03

2008.03.03

2008.02.29

2010.05.01

2010.05.01

2011.02.25

Completion day

2011.03.02

2011.07.02

2011.04.28

2013.07.31

2013.01.31

2013.12.24

Contract price (KRW)

47,844,000,000

35,478,000,000

72,078,000,000

74,700,000,000

51,930,000,000

35,723,606,120

Escalation method

GDP deflator of construction investment

GDP deflator of construction investment

GDP deflator of construction investment

GDP deflator of construction investment

GDP deflator of construction investment

GDP deflator of construction investment

Table 2. GDP Deflator of Construction Investment

Conversion

Year \ Quarter

1/4

2/4

3/4

4/4

Source data

2006

ใ€€

101.60

103.90

104.30

ใ€€

2007

105.60

107.00

108.50

109.70

ใ€€

2008

111.80

116.30

124.30

126.00

ใ€€

2009

122.30

121.30

122.20

123.10

ใ€€

2010

123.70

125.60

128.20

130.20

ใ€€

2011

131.70

133.00

136.00

137.60

ใ€€

2012

137.90

136.60

137.80

139.00

ใ€€

2013

137.90

136.10

138.80

ใ€€

Source : ECOS(http://ecos.bok.or.kr)

4.2 ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ  ๋น„๊ต ๋ถ„์„ : Aํ˜„์žฅ ์‚ฌ๋ก€1)

Aํ˜„์žฅ์€ ์ œ์ฃผ์‹œ ์๋ฉด์ง€์—ญ์ธ ์กฐ์ฒœ์ 5๊ฐœ ์ฒ˜๋ฆฌ๊ตฌ์—ญ, ์• ์›”์ 4๊ฐœ ์ฒ˜๋ฆฌ๊ตฌ์—ญ, ํ•œ๋ฆผ์ 2๊ฐœ ์ฒ˜๋ฆฌ๊ตฌ์—ญ, ํ•œ๊ฒฝ๋ฉด 3๊ฐœ ์ฒ˜๋ฆฌ๊ตฌ์—ญ์œผ๋กœ ํ•˜์ˆ˜๊ด€๊ฑฐ L=101.7Km (์˜ค์ˆ˜ L=79.6Km, ์šฐ์ˆ˜ L=22.1Km), ๋ฐฐ์ˆ˜์„ค๋น„ 4,417๊ฐ€๊ตฌ, ๋งจํ™€ํŽŒํ”„์žฅ 19๊ฐœ์†Œ, ์ž๊ฐ€์˜ค์ˆ˜ํŽŒํ”„์žฅ 139๊ฐœ์†Œ๋ฅผ ํฌํ•จํ•˜๊ณ  ์žˆ๋‹ค. ๋ฌผ๊ฐ€๋ณ€๋™๋น„ ์‚ฐ์ถœ์— ์žˆ์–ด ํ•˜์ˆ˜๊ด€๊ฑฐ BTL ํ˜„์žฅ์—์„œ ์ ์šฉ๋˜๋Š” ์ •๋ถ€๊ณ ์‹œ์ผ์„ ์กฐ์ •๊ธฐ์ค€์ผ๋กœ ๋™์ผํ•˜๊ฒŒ ์ ์šฉํ•˜์—ฌ ๊ฑด์„ค๊ณต์‚ฌGDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹๊ณผ ์ง€์ˆ˜์กฐ์ •๋ฐฉ์‹์œผ๋กœ ๋ฌผ๊ฐ€๋ณ€๋™๋น„์˜ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค.

4.2.1 ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹ ์ ์šฉ์‹œ ๋ฌผ๊ฐ€๋ณ€๋™ ๋ถ„์„

๋ฌผ๊ฐ€๋ณ€๋™๋น„ ์‚ฐ์ถœ์‹œ ์กฐ์ •๊ธฐ์ค€์ผ์€ ์ œ์ฃผํŠน๋ณ„์ž์น˜๋„์™€ ๋ฐœ์ฃผ์ฒ˜๊ฐ„ ์‹ค์‹œํ˜‘์•ฝ์„œ์ƒ์— ๊ฐ€๊ฒฉ์‚ฐ์ถœ๊ธฐ์ค€์‹œ์ ์ธ ์ •๋ถ€๊ณ ์‹œ์ผ์ด ์กฐ์ •๊ธฐ์ค€์ผ์ด ๋œ๋‹ค. ๊ธฐ์ค€์ง€์ˆ˜๋Š” ํ•œ๊ตญ์€ํ–‰์—์„œ ๋งค ๋ถ„๊ธฐ๋ณ„๋กœ ๋ฐœํ‘œ๊ฐ€ ๋˜๋ฉฐ, ๋ฐœํ‘œ๋˜๋Š” ์ง€์ˆ˜๋ฅผ ๊ธฐ์ค€์œผ๋กœ ํ•ด์„œ ๋ถ„๊ธฐ๋ณ„๋กœ ๋ฌผ๊ฐ€๋ณ€๋™๋น„๊ฐ€ ์‚ฐ์ถœ๋˜์–ด์ง„๋‹ค(Table 2).

Table 3์€ Aํ˜„์žฅ์˜ ๊ณต์‚ฌ๊ธฐ๊ฐ„์ธ 2008๋…„ 3์›” 3์ผ~2011๋…„ 3์›” 2์ผ๊นŒ์ง€ ๋ฐœ์ƒํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๋น„์˜ ์‚ฐ์ถœ๊ธˆ์•ก์„ ๋‚˜ํƒ€๋‚ด๊ณ  ์žˆ๋‹ค(์—ฌ๊ธฐ์„œ ์กฐ์ •๊ธฐ์ค€์ผ์€ 2006๋…„ 10์›” 16์ผ์ด ๋˜๊ณ  ๊ธฐ์ค€์ง€์ˆ˜๋Š” 2006๋…„ 3๋ถ„๊ธฐ ์ง€์ˆ˜์ธ 103.9๊ฐ€ ๊ธฐ์ค€์ด ๋œ๋‹ค). ๋ฌผ๊ฐ€๋ณ€๋™๋น„ ์‚ฐ์ถœ์‹œ ๋„๊ธ‰๊ธฐ์„ฑ๊ธˆ์•ก ๊ธฐ์ค€์œผ๋กœ ๊ธฐ์„ฑ๊ณต์ •๋ฅ ์ด ์‹ค์‹œํ˜‘์•ฝ ๋‹น์‹œ์˜ ์˜ˆ์ • ๋ˆ„๊ณ„๊ณต์ •๋ฅ ์„ ์ดˆ๊ณผํ•˜์—ฌ ๊ธฐ์„ฑ๊ธˆ์•ก์„ ์ฒญ๊ตฌํ•  ์ˆ˜๊ฐ€ ์—†๋Š” ์ „์ œ์กฐ๊ฑด์œผ๋กœ 2008๋…„ 2๋ถ„๊ธฐ๋ถ€ํ„ฐ ๋„๊ธ‰๊ธฐ์„ฑ๊ธˆ์„ ์ฒญ๊ตฌํ•˜์˜€๋‹ค๋ฉด ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ์˜ ๋น„๊ต์ง€์ˆ˜๋Š” ์ง์ „๋ถ„๊ธฐ๊ฐ€ ์ ์šฉ๋˜์–ด 2008๋…„ 1๋ถ„๊ธฐ ์ง€์ˆ˜(111.8)๋ฅผ ์‚ฌ์šฉํ•˜๊ฒŒ ๋˜์–ด ์žˆ๋‹ค. ์ด์ฒ˜๋Ÿผ Aํ˜„์žฅ์€ ๋งค ๋ถ„๊ธฐ๋ณ„ ๊ธฐ์„ฑ๋Œ€๊ฐ€๋ฅผ ์ง€๊ธ‰ํ•˜์˜€์œผ๋ฉฐ, ์กฐ์ •๊ธฐ์ค€์ผ 2006๋…„ 10์›” 16์ผ์„ ๊ธฐ์ค€์œผ๋กœ ํ•˜์˜€์„ ๋•Œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์€ ์ด 9,235,300,000์›์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค(Table 3).

PIC22FB.png

Source : ECOS(http://ecos.bok.or.kr)

Fig. 1. GDP Deflator Graph of Construction Investment

Table 3. Fluctuation Amount of A Project (by GDP Deflator Method)

Time

Construction percent completed

Completed amount

(KRW)

Base

index

Comparative index

(previous qr.)

Fluctuation

rate

Fluctuation amount

(KRW)

1/4 qr. in 2008

0.00%

103.9

109.7 

5.582%

 -

2/4 in 2008

0.15%

71,766,000 

103.9

111.8 

7.603%

5,400,000 

3/4 in 2008

1.54%

736,797,600 

103.9

116.3 

11.935%

87,900,000 

4/4 in 2008

3.66%

1,751,090,400 

103.9

124.3 

19.634%

343,800,000 

1/4 qr. in 2009

3.64%

1,741,521,600 

103.9

126.0 

21.270%

370,400,000 

2/4 in 2009

8.79%

4,205,487,600 

103.9

122.3 

17.709%

744,700,000 

3/4 in 2009

10.12%

4,841,812,800 

103.9

121.3 

16.747%

810,800,000 

4/4 in 2009

13.30%

6,363,252,000 

103.9

122.2 

17.613%

1,120,700,000 

1/4 qr. in 2010

13.94%

6,669,453,600 

103.9

123.1 

18.479%

1,232,400,000 

2/4 in 2010

18.94%

9,061,653,600 

103.9

123.7 

19.057%

1,726,800,000 

3/4 in 2010

13.33%

6,377,605,200 

103.9

125.6 

20.885%

1,331,900,000 

4/4 in 2010

6.97%

3,334,726,800 

103.9

128.2 

23.388%

779,900,000 

1/4 qr. in 2011

5.62%

2,688,832,800 

103.9

130.2 

25.313%

680,600,000 

Total

100.00%

47,844,000,000 

ใ€€

ใ€€

ใ€€

9,235,300,000 

4.2.2 ์ง€์ˆ˜์กฐ์ •๋ฐฉ์‹ ์ ์šฉ์‹œ ๋ฌผ๊ฐ€๋ณ€๋™ ๋ถ„์„

Aํ˜„์žฅ์— ๋Œ€ํ•ด์„œ ์ง€์ˆ˜์กฐ์ •๋ฐฉ์‹์— ๋”ฐ๋ฅธ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์„ ๋ถ„์„ํ•˜๊ณ ์ž 15๊ฐœ์˜ ๋น„๋ชฉ์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค. ๊ฐ ๋น„๋ชฉ๊ตฐ์˜ ์ˆœ๊ณต์‚ฌ์›๊ฐ€์— ๋Œ€ํ•œ ๊ณ„์ˆ˜(๊ฐ€์ค‘์น˜)๋ฅผ ์‚ฐ์ •ํ•œ ํ›„์— ์ง€์ˆ˜์กฐ์ •๋ฅ ์„ ์‚ฐ์ถœํ•˜์—ฌ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์„ ๋ถ„์„ํ•˜์˜€๋‹ค.

Aํ˜„์žฅ์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋น„ ์‚ฐ์ถœ์‹œ ์กฐ์ •๊ธฐ์ค€์ผ์€ ๊ฑด์„คํˆฌ์žGDP๋””ํ”Œ๋ ˆ์ดํ„ฐ ์‚ฐ์ถœ์‹œ์ ๊ณผ ๋™์ผํ•˜๊ฒŒ ์ •๋ถ€๊ณ ์‹œ์ผ์ธ 2006๋…„ 10์›” 16์ผ์ด ์กฐ์ •๊ธฐ์ค€์ผ์ด ๋˜๋ฉฐ, ์ฐฉ๊ณต์‹œ์ ์ธ 2008๋…„ 3์›” 3์ผ์„ ๋น„๊ต๊ธฐ์ค€์ผ๋กœ ์‚ฐ์ถœํ•˜์˜€์„ ๋•Œ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ (1์ฐจ)์€ 5.12%๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค(Table 4).

ํ˜„ํ–‰ ์ง€์ˆ˜์กฐ์ •๋ฐฉ์‹์— ๋”ฐ๋ผ 1์ฐจ ๋ฌผ๊ฐ€๋ณ€๋™ ๋ถ„์„๊ณผ ๋™์ผํ•˜๊ฒŒ ๋ฌผ๊ฐ€๋ณ€๋™์ด ๊ฐ€๋Šฅํ•œ ์‹œ์ ๋งˆ๋‹ค ๋งคํšŒ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์„ ์‚ฐ์ถœํ•œ ๊ฒฐ๊ณผ, Aํ˜„์žฅ์˜ ๊ฒฝ์šฐ ์ด 4ํšŒ์— ๊ฑธ์ณ ๋ฌผ๊ฐ€๋ณ€๋™์ด ๊ฐ€๋Šฅํ•˜์˜€์œผ๋ฉฐ ์ด๋กœ ์ธํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์€ 6,629,300,000์›์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค(Table 5).

4.2.3 ๋ฌผ๊ฐ€๋ณ€๋™ ๋น„๊ต ๋ถ„์„

Table 4. Analysis of Index Control Rate in A Project (1st Fluctuation)

Item of expenditure

Cost

(KRW)

Weight

(a)

Base index

Comparative index

Index adjustment rate

(d)=(c/b)

Coordination coefficient

(e)=(a*d)

2006.10.13 (b)

2008.03.03 (c)

A

Direct labor cost

 12,712,095,945

0.2880 

ใ€€

ใ€€

ใ€€

ใ€€

ใ€€

Indirect labor cost

 1,423,754,745

0.0323 

ใ€€

ใ€€

ใ€€

ใ€€

ใ€€

Total of labor cost

 14,135,850,690

0.3203 

100.00

106.75

1.0675 

0.34192025 

B'

Domestic equipment

 3,109,006,399

0.0704 

100.00

100.00

1.0000 

0.07040000 

B"

Foreign-made equipment

 1,450,287,937

0.0329 

100.00

98.29

0.9829 

0.03233741

ใ€€

Total of machinery equipment

 4,559,294,336

0.1033 

ใ€€

ใ€€

ใ€€

0.10273741

C

Secondary product

 582,805,840

0.0132 

71.72

78.58

1.0956 

0.01446192

D

Industrial product

 17,027,571,568

0.3858 

87.32

90.71

1.0388 

0.40076904

E

Electric power, water supply and city gas

 -

0.0000 

86.51

88.88

1.0273 

0.00000000

F

Agricultural product

 -

0.0000 

84.15

87.23

1.0366 

0.00000000

ใ€€

Total of material cost

 17,610,377,408

0.3990 

ใ€€

ใ€€

ใ€€

0.41523096

G1

Historical unit cost of civil eng. work

 -

0.0000 

100.00

101.64

1.0164 

0.00000000

G2

Historical unit cost of architecture work

 -

0.0000 

100.00

103.61

1.0361 

0.00000000

G3

Historical unit cost of mechanical work

 -

0.0000 

100.00

102.81

1.0281 

0.00000000

ใ€€

Total of historical unit cost

 -

0.0000 

ใ€€

ใ€€

ใ€€

0.00000000

H

Compensation insurance

 480,620,000

0.0109 

100.00

113.02

1.1302 

0.01231918

I

Occupational safety and health management expenses

 597,329,000

0.0135 

100.00

104.65

1.0465 

0.01412775

J

Employment insurance

 120,156,000

0.0027 

100.00

106.74

1.0674 

0.00288198 

K

Mutual benefit fund for retirement

 171,615,000

0.0039 

100.00

181.86

1.8186 

0.00709254 

L

National health insurance

 166,529,000

0.0038 

100.00

121.41

1.2141 

0.00461358

M

National annuity insurance

 306,362,000

0.0069 

100.00

107.63

1.0763 

0.00742647

N

National long-term care insurance

 -

0.0000 

100.00

121.41

1.2141 

0.00000000

ใ€€

Total of overhead expenses

 1,842,611,000

0.0417 

ใ€€

ใ€€

ใ€€

0.04846150

Z

Other items in general expenses

 3,569,478,798

0.0809 

ใ€€

ใ€€

ใ€€

ใ€€

ใ€€

Other general expenses

 2,414,162,574

0.0548 

ใ€€

ใ€€

ใ€€

ใ€€

ใ€€

Total of other expenses

 5,983,641,372

0.1357 

100.00

105.34

1.0534 

0.14294638

Net construction cost

 44,131,774,806

1.0000 

ใ€€

ใ€€

ใ€€

1.05129650

Index adjustment rate

5.12%

Table 5. Analysis of Fluctuation Amount in A Project (1st~4th Fluctuation)

Time

Construction percent completed

Completed amount

(KRW)

Fluctuation rate

Fluctuation rate

Fluctuation amount

(KRW)

Note

1/4 qr. in 2008

0.00%

       -

5.12%

5.12%

       -

2008.03.03 

2/4 in 2008

0.15%

71,766,000 

3.93%

9.05%

6,500,000 

2008.06.02

3/4 in 2008

1.54%

736,797,600 

3.95%

13.00%

95,700,000 

2008.09.02

4/4 in 2008

3.66%

1,751,090,400 

ใ€€

13.00%

227,600,000 

1/4 qr. in 2009

3.64%

1,741,521,600 

ใ€€

13.00%

226,300,000 

2/4 in 2009

8.79%

4,205,487,600 

ใ€€

13.00%

546,700,000 

3/4 in 2009

10.12%

4,841,812,800 

ใ€€

13.00%

629,400,000 

4/4 in 2009

13.30%

6,363,252,000 

ใ€€

13.00%

827,200,000 

1/4 qr. in 2010

13.94%

6,669,453,600 

ใ€€

13.00%

867,000,000 

2/4 in 2010

18.94%

9,061,653,600 

ใ€€

13.00%

1,178,000,000 

3/4 in 2010

13.33%

6,377,605,200 

3.34%

16.34%

1,041,400,000 

2010.09.01

4/4 in 2010

6.97%

3,334,726,800 

ใ€€

16.34%

544,500,000 

1/4 qr. in 2011

5.62%

2,688,832,800 

ใ€€

16.34%

439,000,000 

Total 

100.00%

47,844,000,000 

ใ€€

ใ€€

6,629,300,000 

Aํ˜„์žฅ์— ๋Œ€ํ•˜์—ฌ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์„ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์€ 25.313%์ธ ๋ฐ˜๋ฉด, ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์€ 16.34%๋ฅผ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ด๋กœ ์ธํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์˜ ์ฐจ์ด๋Š” 2,606,000,000์›์ธ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค(Table 6). ํŠนํžˆ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์„ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ณด๋ฉด, ์ „๋ฐ˜์ ์œผ๋กœ ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์„ ํ†ตํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์ด ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ๋ณด๋‹ค ์ง€์†์ ์œผ๋กœ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค(Fig. 2).

Table 6. Comparative Analysis of Fluctuation Amount in A Project

Time

Construction percent completed

Completed amount

(KRW)

Fluctuation amount(KRW)

GDP deflator method (1)

Index adjustment rate method (2)

Difference (2)-(1)

1/4 qr. in 2008

0.00%

-

-

-

-

2/4 in 2008

0.15%

71,766,000

5,400,000

6,500,000 

3/4 in 2008

1.54%

736,797,600

87,900,000

95,700,000 

4/4 in 2008

3.66%

1,751,090,400

343,800,000

227,600,000 

1/4 qr. in 2009

3.64%

1,741,521,600

370,400,000

226,300,000 

2/4 in 2009

8.79%

4,205,487,600

744,700,000

546,700,000 

3/4 in 2009

10.12%

4,841,812,800

810,800,000

629,400,000 

4/4 in 2009

13.30%

6,363,252,000

1,120,700,000

827,200,000 

1/4 qr. in 2010

13.94%

6,669,453,600

1,232,400,000

867,000,000 

2/4 in 2010

18.94%

9,061,653,600

1,726,800,000

1,178,000,000 

3/4 in 2010

13.33%

6,377,605,200

1,331,900,000

1,041,400,000 

4/4 in 2010

6.97%

3,334,726,800

779,900,000

544,500,000 

1/4 qr. in 2011

5.62%

2,688,832,800

680,600,000

439,000,000 

Total

100.00%

47,844,000,000

9,235,300,000

6,629,300,000

-2,606,000,000

PIC2500.gif

PIC2530.gif

Fig. 2. Comparative Analysis of Fluctuation Rate in A Project

Fig. 3. Comparative Analysis of Fluctuation Rate in B Project

4.3 B~Fํ˜„์žฅ์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ  ๋น„๊ต ๋ถ„์„

B~Fํ˜„์žฅ์˜ ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹๊ณผ ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ๋ถ„์„์€ Aํ˜„์žฅ์˜ ์‚ฌ๋ก€๋ถ„์„๊ณผ ๋™์ผํ•˜๊ฒŒ ์ด๋ฃจ์–ด์กŒ์œผ๋ฉฐ, ๋ถ„์„ ๊ฒฐ๊ณผ(๋ฌผ๊ฐ€๋ณ€๋™๋ฅ  ๋ฐ ๋ฌผ๊ฐ€๋ณ€๋™์•ก ์ฐจ์ด)๋งŒ์„ ๋…ผ์ˆ ํ•˜๊ณ ์ž ํ•œ๋‹ค.

4.3.1 Bํ˜„์žฅ์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ๋น„๊ต ๋ถ„์„

Bํ˜„์žฅ์€ ์ œ์ฃผ์‹œ ๋™์ง€์—ญ์ธ ๋ณ‘๋ฌธ์ฒœ ์ฒ˜๋ฆฌ๊ตฌ์—ญ(7๊ฐœ ๋ธ”๋Ÿญ), ์‚ฐ์ง€์ฒ˜๋ฆฌ๊ตฌ์—ญ(5๊ฐœ ๋ธ”๋Ÿญ)์œผ๋กœ ํ•˜์ˆ˜๊ด€๊ฑฐ L=67.2Km (์˜ค์ˆ˜ L=44.9Km, ์šฐ์ˆ˜ L=22.3Km), ๋ฐฐ์ˆ˜์„ค๋น„ 3,119๊ฐ€๊ตฌ, ๋งจํ™€ํŽŒํ”„์žฅ 12๊ฐœ์†Œ, ์ž๊ฐ€์˜ค์ˆ˜ํŽŒํ”„์žฅ 13๊ฐœ์†Œ๋ฅผ ํฌํ•จํ•˜๊ณ  ์žˆ๋‹ค.

Bํ˜„์žฅ์€ ๋งค ๋ถ„๊ธฐ๋ณ„ ๊ธฐ์„ฑ๋Œ€๊ฐ€๋ฅผ ์ง€๊ธ‰ํ•˜์˜€์œผ๋ฉฐ, ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์— ๋”ฐ๋ผ ์กฐ์ •๊ธฐ์ค€์ผ(2006๋…„ 10์›” 16์ผ)์„ ๊ธฐ์ค€์œผ๋กœ ํ•˜์˜€์„ ๋•Œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์€ ์ด 6,671,200,000์›์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์— ๋”ฐ๋ฅด๋ฉด, ์ด 4ํšŒ์— ๊ฑธ์นœ ๋ฌผ๊ฐ€๋ณ€๋™์ด ๊ฐ€๋Šฅํ•˜๋ฉฐ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์€ 4,579,700,000์›์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค.

Bํ˜„์žฅ์— ๋Œ€ํ•˜์—ฌ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์„ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์€ 26.756%์ธ ๋ฐ˜๋ฉด, ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์€ 15.49%๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ด๋กœ ์ธํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์˜ ์ฐจ์ด๋Š” 2,091,500,000์›์ธ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค(Fig. 3).

4.3.2 Cํ˜„์žฅ์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ๋น„๊ต ๋ถ„์„

Cํ˜„์žฅ์€ ์„œ๊ท€ํฌ ์๋ฉด์ง€์—ญ์ธ ๋‚จ์›์์ฒ˜๋ฆฌ๊ตฌ์—ญ(11๊ฐœ ์ฒ˜๋ฆฌ๋ถ„๊ตฌ), ํ‘œ์„ ๋ฉด ์ฒ˜๋ฆฌ๊ตฌ์—ญ(4๊ฐœ๋ธ”๋Ÿญ)์œผ๋กœ ํ•˜์ˆ˜๊ด€๊ฑฐ L=114.6Km (์˜ค์ˆ˜ L= 105.5Km, ์šฐ์ˆ˜ L=9.1Km), ๋ฐฐ์ˆ˜์„ค๋น„ 5,395๊ฐ€๊ตฌ, ๋งจํ™€ํŽŒํ”„์žฅ 31๊ฐœ์†Œ, ์ž๊ฐ€์˜ค์ˆ˜ํŽŒํ”„์žฅ 229๊ฐœ์†Œ๋ฅผ ํฌํ•จํ•˜๊ณ  ์žˆ๋‹ค.

Cํ˜„์žฅ ๋งค ๋ถ„๊ธฐ๋ณ„ ๊ธฐ์„ฑ๋Œ€๊ฐ€๋ฅผ ์ง€๊ธ‰ํ•˜์˜€์œผ๋ฉฐ, ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์— ๋”ฐ๋ผ ์กฐ์ •๊ธฐ์ค€์ผ(2006๋…„ 10์›” 13์ผ)์„ ๊ธฐ์ค€์œผ๋กœ ํ•˜์˜€์„ ๋•Œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์€ ์ด 12,635,600,000์›์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์— ๋”ฐ๋ฅด๋ฉด, ์ด 4ํšŒ์— ๊ฑธ์นœ ๋ฌผ๊ฐ€๋ณ€๋™์ด ๊ฐ€๋Šฅํ•˜๋ฉฐ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์€ 9,055,700,000์›์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค.

Cํ˜„์žฅ์— ๋Œ€ํ•˜์—ฌ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์„ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์€26.756%์ธ ๋ฐ˜๋ฉด, ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์€ 15.74%๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ด๋กœ ์ธํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์˜ ์ฐจ์ด๋Š” 3,579,900,000์›์ธ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค(Fig. 4).

PIC2560.gif

PIC259F.gif

Fig. 4. Comparative Analysis of Fluctuation Rate in C Project

Fig. 5. Comparative Analysis of Fluctuation Rate in D Project

PIC25CF.gif

PIC25FF.gif

Fig. 6. Comparative Analysis of Fluctuation Rate in E Project

Fig. 7. Comparative Analysis of Fluctuation Rate in F Project

4.3.3 Dํ˜„์žฅ์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ๋น„๊ต ๋ถ„์„

Dํ˜„์žฅ์€ ์ œ์ฃผ์‹œ ์๋ฉด์ง€์—ญ์ธ ์กฐ์ฒœ์ 6๊ฐœ ์ฒ˜๋ฆฌ๊ตฌ์—ญ, ์• ์›”์ 6๊ฐœ ์ฒ˜๋ฆฌ๊ตฌ์—ญ, ํ•œ๊ฒฝ๋ฉด 12๊ฐœ ์ฒ˜๋ฆฌ๊ตฌ์—ญ์œผ๋กœ ํ•˜์ˆ˜๊ด€๊ฑฐ L=110.2Km (์˜ค์ˆ˜ L=81.1Km, ์šฐ์ˆ˜ L=29.1Km), ๋ฐฐ์ˆ˜์„ค๋น„ 4,407๊ฐ€๊ตฌ, ๋งจํ™€ํŽŒํ”„์žฅ 44๊ฐœ์†Œ, ์ž๊ฐ€์˜ค์ˆ˜ํŽŒํ”„์žฅ 121๊ฐœ์†Œ๋ฅผ ํฌํ•จํ•˜๊ณ  ์žˆ๋‹ค.

Dํ˜„์žฅ์€ ๋งค ๋ถ„๊ธฐ๋ณ„ ๊ธฐ์„ฑ๋Œ€๊ฐ€๋ฅผ ์ง€๊ธ‰ํ•˜์˜€์œผ๋ฉฐ, ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์— ๋”ฐ๋ผ ์กฐ์ •๊ธฐ์ค€์ผ(2008๋…„ 12์›” 23์ผ)์„ ๊ธฐ์ค€์œผ๋กœ ํ•˜์˜€์„ ๋•Œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์€ ์ด 5,901,400,000์›์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์— ๋”ฐ๋ฅด๋ฉด, ์ด 4ํšŒ์— ๊ฑธ์นœ ๋ฌผ๊ฐ€๋ณ€๋™์ด ๊ฐ€๋Šฅํ•˜๋ฉฐ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์€ 7,649,500,000์›์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค.

Dํ˜„์žฅ์— ๋Œ€ํ•˜์—ฌ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์„ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์€ 8.016%์ธ ๋ฐ˜๋ฉด, ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์€ 14.57%๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ด๋กœ ์ธํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์˜ ์ฐจ์ด๋Š” 1,748,100,000์›์ธ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค(Fig. 5)

4.3.4 Eํ˜„์žฅ์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ๋น„๊ต ๋ถ„์„

Eํ˜„์žฅ์€ ์ œ์ฃผ์‹œ ๋™์ง€์—ญ์ธ ์ผ๋„1~2๋™, ์ด๋„2๋™, ๊ฑด์ž…๋™ ์ผ์›์œผ๋กœ ํ•˜์ˆ˜๊ด€๊ฑฐ L=68.9Km (์˜ค์ˆ˜ L=62.9Km, ์šฐ์ˆ˜ L=6.0Km), ๋ฐฐ์ˆ˜์„ค๋น„ 5,649๊ฐ€๊ตฌ, ๋งจํ™€ํŽŒํ”„์žฅ 5๊ฐœ์†Œ๋ฅผ ํฌํ•จํ•˜๊ณ  ์žˆ๋‹ค.

Eํ˜„์žฅ์€ ๋งค ๋ถ„๊ธฐ๋ณ„ ๊ธฐ์„ฑ๋Œ€๊ฐ€๋ฅผ ์ง€๊ธ‰ํ•˜์˜€์œผ๋ฉฐ, ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์— ๋”ฐ๋ผ ์กฐ์ •๊ธฐ์ค€์ผ(2008๋…„ 12์›” 23์ผ)์„ ๊ธฐ์ค€์œผ๋กœ ํ•˜์˜€์„ ๋•Œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์€ ์ด 3,617,800,000์›์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์— ๋”ฐ๋ฅด๋ฉด, ์ด 3ํšŒ์— ๊ฑธ์นœ ๋ฌผ๊ฐ€๋ณ€๋™์ด ๊ฐ€๋Šฅํ•˜๋ฉฐ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์€ 5,303,400,000์›์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค.

Eํ˜„์žฅ์— ๋Œ€ํ•˜์—ฌ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์„ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, ๊ฑด์„คํˆฌ์ž GDP๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์€ 8.016%์ธ ๋ฐ˜๋ฉด, ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์€ 10.85%๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ด๋กœ ์ธํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์˜ ์ฐจ์ด๋Š” 1,685,600,000์›์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค(Fig. 6).

4.3.5 Fํ˜„์žฅ์˜ ๋ฌผ๊ฐ€๋ณ€๋™ ๋น„๊ต ๋ถ„์„

Fํ˜„์žฅ์€ ์ œ์ฃผ์‹œ ์๋ฉด์ง€์—ญ์ธ ์กฐ์ฒœ์ 6๊ฐœ ์ฒ˜๋ฆฌ๊ตฌ์—ญ, ์• ์›”์ 6๊ฐœ ์ฒ˜๋ฆฌ๊ตฌ์—ญ, ํ•œ๊ฒฝ๋ฉด 12๊ฐœ ์ฒ˜๋ฆฌ๊ตฌ์—ญ์œผ๋กœ ํ•˜์ˆ˜๊ด€๊ฑฐ L=56.0Km (์˜ค์ˆ˜ L=53.8Km, ์šฐ์ˆ˜ L=2.2Km), ๋ฐฐ์ˆ˜์„ค๋น„ 1,469๊ฐ€๊ตฌ, ๋งจํ™€ํŽŒํ”„์žฅ 37๊ฐœ์†Œ, ์ž๊ฐ€์˜ค์ˆ˜ํŽŒํ”„์žฅ 138๊ฐœ์†Œ๋ฅผ ํฌํ•จํ•˜๊ณ  ์žˆ๋‹ค.

Fํ˜„์žฅ์€ ๋งค ๋ถ„๊ธฐ๋ณ„ ๊ธฐ์„ฑ๋Œ€๊ฐ€๋ฅผ ์ง€๊ธ‰ํ•˜์˜€์œผ๋ฉฐ, ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์— ๋”ฐ๋ผ ์กฐ์ •๊ธฐ์ค€์ผ(2009๋…„ 9์›” 30์ผ)์„ ๊ธฐ์ค€์œผ๋กœ ํ•˜์˜€์„ ๋•Œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์€ ์ด 4,392,700,000์›์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์— ๋”ฐ๋ฅด๋ฉด, ์ด 2ํšŒ์— ๊ฑธ์นœ ๋ฌผ๊ฐ€๋ณ€๋™์ด ๊ฐ€๋Šฅํ•˜๋ฉฐ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์€ 3,744,100,000์›์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค.

Fํ˜„์žฅ์— ๋Œ€ํ•˜์—ฌ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์„ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์€ 13.584%์ธ ๋ฐ˜๋ฉด, ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์€ 10.59%๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ด๋กœ ์ธํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์˜ ์ฐจ์ด๋Š” 648,600,000์›์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค(Fig. 7)

4.4 ์‚ฌ๋ก€๋ถ„์„ ์ข…ํ•ฉ ๋ฐ ๋ฌธ์ œ์  ๋ถ„์„

์ œ์ฃผํŠน๋ณ„์ž์น˜๋„๋‚ด ์ค€๊ณต์™„๋ฃŒํ•œ ํ•˜์ˆ˜๊ด€๊ฑฐ BTL์‚ฌ์—…์„ ์ข…ํ•ฉํ•˜๋ฉด A, B, Cํ˜„์žฅ(06๋…„ ์‚ฌ์—…)๊ณผ Fํ˜„์žฅ(09๋…„ ์‚ฌ์—…)์€ ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์ด ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹๋ณด๋‹ค ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์ด ๋†’๊ฒŒ ๋‚˜์˜ค๋Š” ๋ฐ˜๋ฉด, D, Eํ˜„์žฅ(08๋…„ ์‚ฌ์—…)์€ ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์ด ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹๋ณด๋‹ค ๋†’๊ฒŒ ๋‚˜์˜ค๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค(Table 7).

์ด๋ฅผ ๊ทธ๋ฆผ์œผ๋กœ ๋‚˜ํƒ€๋‚ด๋ฉด Figs. 8 and 9์™€ ๊ฐ™๋‹ค. A, B, C, Fํ˜„์žฅ์€ GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์ด ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š” ๋ฐ˜๋ฉด, D, Eํ˜„์žฅ์€ ๋ฐ˜๋Œ€๋กœ GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์ด ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹๋ณด๋‹ค ๋‚ฎ๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค.

Table 7. Comparative Analysis of All Projects by Each Escalation Methods

Division

GDP deflator method (A)

Index adjustment rate method (B)

Difference (C) = (B-A)

Fluctuation rate

(Average)

Fluctuation amount

(KRW, million)

Fluctuation rate

(Average)

Fluctuation amount

(KRW, million)

Fluctuation rate

(Average)

Fluctuation amount

(KRW, million)

A project

17.32%

9,235

12.86%

6,629

-4.46%

-2,606

B project

18.00%

6,671

12.52%

4,580

-5.48%

-2,091

C project

18.00%

12,636

12.51%

9,056

-5.49%

-3,580

D project

6.08%

5,901

8.85%

7,650

2.77%

1,749

E project

5.64%

3,618

8.94%

5,303

3.30%

1,685

F project

11.33%

4,393

9.84%

3,744

-1.49%

-649

PIC268D.gif

PIC26CC.gif

Fig. 8. Comparative Analysis of Fluctuation Rate by Each Escalation Methods

Fig. 9. Comparative Analysis of Fluctuation Amount by Each Escalation Methods

D, Eํ˜„์žฅ์˜ GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์˜ ์ˆ˜์น˜(๋ฌผ๊ฐ€๋ณ€๋™๋ฅ  ๋ฐ ๋ฌผ๊ฐ€๋ณ€๋™์•ก)์ด ๋‚ฎ๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š” ์›์ธ์€ ๋ถ„์„ํ•ด ๋ณด๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. D, Fํ˜„์žฅ์€ ๊ฐ™์€ ์‹œ๊ธฐ(2008๋…„ 12์›” 23์ผ)์— ์ •๋ถ€๊ฐ€ ๊ณ ์‹œํ•œ ํ˜„์žฅ์ด๋ฉฐ, ์ด ์‹œ๊ธฐ๊ฐ€ GDP๋””ํ”Œ๋ ˆ์ดํ„ฐ์˜ ๊ธฐ์ค€์ง€์ˆ˜๊ฐ€ ๋œ๋‹ค. ์ฆ‰, ์ด ์‹œ์ ์˜ ๊ธฐ์ค€์ง€์ˆ˜๋Š” 4๋ถ„๊ธฐ ์ง€์ˆ˜(126.0)๊ฐ€ ์‚ฌ์šฉ๋œ๋‹ค. Fig. 10์—์„œ ์•Œ ์ˆ˜ ์žˆ๋“ฏ์ด 2008๋…„ 4๋ถ„๊ธฐ ๊ธฐ์ค€์‹œ์ ์ด ๊ฐ€์žฅ ๋†’๊ฒŒ ๋‚˜์˜ค๊ธฐ ๋•Œ๋ฌธ์— ๋น„๊ต๋˜๋Š” ์ง€์ˆ˜๊ฐ€ ์ƒ๋Œ€์ ์œผ๋กœ ๋‚ฎ๊ฒŒ ๋‚˜์™€ ์ด ๊ธฐ๊ฐ„(2008๋…„ 4๋ถ„๊ธฐ~2010๋…„2๋ถ„๊ธฐ) ๋™์•ˆ์—๋Š” ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์ด ์˜ค๋ฅด์ง€ ์•Š๊ฒŒ ๋œ๋‹ค.

Dํ˜„์žฅ์€ ๊ณต์‚ฌ๊ธฐ๊ฐ„์ด 2010๋…„ 5์›” 1์ผ~2013๋…„ 7์›” 31์ผ์ด๋ฉฐ, Eํ˜„์žฅ์€ 2010๋…„ 5์›” 1์ผ~2013๋…„ 1์›” 31์ผ๊นŒ์ง€์ด๋‹ค. ์•ž์„œ ์–ธ๊ธ‰ํ•œ ๋ฐ”์™€ ๊ฐ™์ด D, Eํ˜„์žฅ์€ 2010๋…„ 2๋ถ„๊ธฐ ์ดํ›„๋ถ€ํ„ฐ GDP๋””ํ”Œ๋ ˆ์ดํ„ฐ๊ฐ€ ์ ์ฐจ์ ์œผ๋กœ ์ƒ์Šนํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๊ทธ ์ด์ „์—๋Š” ๋ฌผ๊ฐ€์ƒ์Šน๋ฅ ์ด ๋†’๊ฒŒ ๋ฐœ์ƒ๋˜์ง€ ์•Š๋Š”๋‹ค.

Fig. 11์€ GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ์ง€์ˆ˜์™€ ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์ธ ์ƒ์‚ฐ์ž๋ฌผ๊ฐ€์ง€์ˆ˜(๊ณต์‚ฐํ’ˆ, ๊ด‘์‚ฐํ’ˆ)์™€, ์‹œ์ค‘๋…ธ์ž„๋‹จ๊ฐ€๋ฅผ ๋น„๊ตํ•œ ๊ทธ๋ž˜ํ”„์ด๋‹ค. ๊ทธ๋ž˜ํ”„๋ฅผ ํ†ตํ•ด ์•Œ ์ˆ˜ ์žˆ๋“ฏ์ด, D, Eํ˜„์žฅ์˜ ๊ฒฝ์šฐ ์ •๋ถ€๊ณ ์‹œ์ผ(2008๋…„ 12์›” 23์ผ)์˜ ๊ธฐ์ค€์‹œ์ ์ธ 2008๋…„ 4๋ถ„๊ธฐ์˜ ๊ธฐ์ค€์ง€์ˆ˜๋ณด๋‹ค ๋‚ฎ์€ ์‹œ๊ธฐ์— ๋Œ€ํ•ด์„œ๋Š” ๋ฌผ๊ฐ€๋ณ€๋™์ด ์ ์šฉ๋˜์ง€ ์•Š์€ ๋ฐ˜๋ฉด, ์ง€์ˆ˜์กฐ์ •๋ฅ ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ƒ์‚ฐ์ž๋ฌผ๊ฐ€์ง€์ˆ˜์™€ ์‹œ์ค‘๋…ธ์ž„๋‹จ๊ฐ€๋Š” ๋™๊ธฐ๊ฐ„๋™์•ˆ ์ƒ์Šนํ•˜๋Š” ์ถ”์„ธ๋ฅผ ๋ณด์ด๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, D, Eํ˜„์žฅ์˜ ๊ฒฝ์šฐ GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ๋ฐฉ์‹์— ๋”ฐ๋ฅธ ๋ฌผ๊ฐ€๋ณ€๋™๋ณด๋‹ค ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์— ๋”ฐ๋ฅธ ๋ฌผ๊ฐ€์กฐ์ •์ด ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚˜๊ฒŒ ๋˜๋Š” ์›์ธ์„ ์—ฌ๊ธฐ์—์„œ ์ฐพ์„ ์ˆ˜ ์žˆ๋‹ค. ์ฆ‰, ๋ฌผ๊ฐ€๊ฐ€ ์‚ฐ์ •๋˜๋Š” ๊ธฐ์ค€์‹œ์ ์ด ์ค‘์š”ํ•˜๋‹ค๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค.

์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์€ 15๊ฐœ์˜ ๋น„๋ชฉ๊ตฐ์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์—ฌ ์ ์šฉํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์‹ค์งˆ์ ์ธ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์ง€๋งŒ, ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์—์„œ๋Š” ์ง€์ˆ˜๋ฅผ ์ผ๊ด„์ ์œผ๋กœ ์ ์šฉํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ  ์‚ฐ์ถœ์— ์žˆ์–ด ํ˜„์‹ค์ ์ธ ๋ฌผ๊ฐ€๋ฅผ ๋ฐ˜์˜ํ•˜์ง€ ๋ชปํ•จ์œผ๋กœ์จ ์ •ํ™•๋„๊ฐ€ ๋–จ์–ด์ง€๋Š” ๋‹จ์ ์ด ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค.

PIC272B.gif

Fig. 10. GDP Deflator Graph of Construction Investment (D, E Project)

PIC278A.gif

Fig. 11. Comparative Analysis of Producer Price Index (PPI) and GDP Deflator Index

5. ๊ฒฐ ๋ก 

๊ธฐ์กด์˜ ์—ฐ๊ตฌ๋Š” ๋ฌผ๊ฐ€๋ณ€๋™์— ๋”ฐ๋ฅธ ๊ณ„์•ฝ๊ธˆ์•ก์กฐ์ •๋ฐฉ์‹์— ๋Œ€ํ•œ ์ •์ฑ…์ ์ธ ๊ณ ๋ ค์‚ฌํ•ญ๊ณผ ๋ฌผ๊ฐ€์กฐ์ •๋ฐฉ๋ฒ•์˜ ํ•ฉ๋ฆฌ์„ฑ์— ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์„ ์ ์šฉํ•˜๊ณ  ์žˆ๋Š” ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…๊ณผ ๊ฐ™์€ ํŠน์ • ์œ ํ˜•์˜ ํ”„๋กœ์ ํŠธ์— ๋Œ€ํ•ด์„œ ๊ธฐ์กด ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์ ์šฉํ•จ์— ์žˆ์–ด์„œ๋Š” ํ•œ๊ณ„์ ์„ ๋ณด์ด๊ณ  ์žˆ๋‹ค.

๋”ฐ๋ผ์„œ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์„ ํ™œ์šฉํ•˜์—ฌ ๋ฌผ๊ฐ€๋ณ€๋™์„ ๋ฐ˜์˜ํ•˜๊ณ  ์žˆ๋Š” ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…์— ๋Œ€ํ•œ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์˜ ํ˜„ํ™ฉ์„ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•˜์—ฌ ์ผ๋ฐ˜์ ์ธ ์žฌ์ •์‚ฌ์—…์—์„œ ์ฃผ๋กœ ํ™œ์šฉ๋˜๊ณ  ์žˆ๋Š” ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹๊ณผ ๋น„๊ต ๋ถ„์„ํ•˜์˜€๋‹ค.

๋ถ„์„ ๊ฒฐ๊ณผ, A, B, C, Fํ˜„์žฅ์€ GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•œ ์ง€์ˆ˜๊ฐ€ ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์„ ์‚ฌ์šฉํ•œ ์ง€์ˆ˜๋ณด๋‹ค ๋†’์€ ๋“ฑ๋ฝ๋ฅ ๊ณผ ๋ฌผ๊ฐ€๋ณ€๋™๊ธˆ์•ก์„ ๋ณด์ž„์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, D, Eํ˜„์žฅ์˜ ๊ฒฝ์šฐ๋Š” ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์— ์˜ํ•œ ์ง€์ˆ˜๊ฐ€ ๋” ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ์œผ๋ฉฐ, ๊ทธ ์›์ธ์€ ์ •๋ถ€๊ณ ์‹œ์ผ์—์„œ ์ฐพ์„ ์ˆ˜ ์žˆ์—ˆ์œผ๋ฉฐ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฒฐ๋ก ์„ ์–ป์„ ์ˆ˜ ์žˆ์—ˆ๋‹ค.

(1)์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์€ ์ž…์ฐฐ์ผ๋กœ๋ถ€ํ„ฐ 91์ผ์ด ๊ฒฝ๊ณผ๋˜์–ด์•ผ ํ•˜๊ณ  ยฑ3.0%์˜ ๋“ฑ๋ฝ์กฐ๊ฑด์ด ๋งŒ์กฑ ๋˜์–ด์•ผ๋งŒ ํ•œ๋‹ค. ๊ทธ๋ฆฌ๊ณ  15๊ฐœ์˜ ๋น„๋ชฉ๊ตฐ์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์—ฌ ์ ์šฉํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์‹ค์งˆ์ ์ธ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์ด ๋ฐ˜์˜๋˜๋Š” ๋ฐ˜๋ฉด, ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์—์„œ๋Š” ์ง€์ˆ˜๋ฅผ ์ผ๊ด„ ์ ์šฉํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ  ์‚ฐ์ถœ์— ์žˆ์–ด ํ˜„์‹ค์ ์ธ ๋ฌผ๊ฐ€๋ฅผ ๋ฐ˜์˜ํ•˜์ง€ ๋ชปํ•จ์œผ๋กœ์จ ์ •ํ™•๋„๊ฐ€ ๋–จ์–ด์ง€๋Š” ๋‹จ์ ์ด ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค.

(2)ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL ํ˜„์žฅ์— ์‚ฌ์šฉ๋˜๋Š” ๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์˜ ๊ธฐ์ค€์ง€์ˆ˜๋Š” ๊ณ ์ •๊ฐ’์„ ์‚ฌ์šฉํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๊ธฐ์ค€์ด ๋˜๋Š” ์‹œ์ ์ด ์ค‘์š”ํ•จ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋งŒ์•ฝ, ๊ธฐ์ค€์‹œ์ ์˜ ์ง€์ˆ˜๊ฐ€ ์ดํ›„ ์ง€์ˆ˜๋ณด๋‹ค ๋†’์„ ๊ฒฝ์šฐ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์ด ์˜ฌ๋ผ๊ฐ€๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ƒ๋‹นํ•œ ์‹œ์ผ์ด ์†Œ์š”๋จ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. D, Eํ˜„์žฅ์ด ์ด์™€ ๊ฐ™์€ ์‚ฌ๋ก€์— ํ•ด๋‹นํ•œ๋‹ค.

(3)๊ฑด์„คํˆฌ์ž GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ๋ฐฉ์‹์˜ ๊ธฐ์ค€์ง€์ˆ˜๋Š” ๊ณ ์ •๊ฐ’์„ ์‚ฌ์šฉํ•˜๋ฉฐ ๋งค๋ถ„๊ธฐ๋ณ„ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์ด ๋ฐ˜์˜๋˜๊ธฐ ๋•Œ๋ฌธ์— ์ง€์ˆ˜์กฐ์ •๋ฅ ๊ณผ ๊ฐ™์€ ๋ฌผ๊ฐ€๋ณ€๋™์กฐ๊ฑด(๋ฌผ๊ฐ€๋ณ€๋™๋ฅ  ยฑ3.0%์™€ ์ž…์ฐฐ์ผ๋กœ๋ถ€ํ„ฐ 91์ผ ๊ฒฝ๊ณผ)์— ๊ตฌ์• ๋ฅผ ๋ฐ›์ง€ ์•Š๊ธฐ ๋•Œ๋ฌธ์— ์ „๋ฐ˜์ ์œผ๋กœ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ ์ด ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚˜๊ฒŒ ๋จ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ์œผ๋ฉฐ, ํ•˜์ˆ˜๊ด€๊ฑฐ์ •๋น„ BTL์‚ฌ์—…์˜ ์„ฑ๊ฒฉ์ƒ ๋Œ€๊ทœ๋ชจ ๊ณต์‚ฌ๊ธˆ์•ก์ด ํˆฌ์ž…๋˜๊ธฐ ๋•Œ๋ฌธ์— ์ด์— ๋”ฐ๋ฅธ ๋ฌผ๊ฐ€๋ณ€๋™ ๊ธˆ์•ก๋„ ์ƒ๋‹นํ•  ๊ฒƒ์ž„์„ ์œ ์ถ”ํ•  ์ˆ˜ ์žˆ๋‹ค.

์ด๋Ÿฌํ•œ ๋ฌธ์ œ์ ์„ ๊ฐœ์„ ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ํ–ฅํ›„ BTL์‚ฌ์—…์˜ ๋ฌผ๊ฐ€๋ณ€๋™๋ฅ  ์‚ฐ์ถœ์‹œ์— GDP ๋””ํ”Œ๋ ˆ์ดํ„ฐ ์ง€์ˆ˜๋ฅผ ์ด์‚ฌ์—…๋น„์— ์ผ๊ด„์ ์œผ๋กœ ์ ์šฉํ•˜๋Š” ๊ฒƒ๋ณด๋‹ค๋Š” ์ด์‚ฌ์—…๋น„์˜ ์ผ๋ถ€๋ถ„์ธ ํŠน์ •๊ณต์‚ฌ๋น„(ํŠน์ •๋น„๋ชฉ)์— ๋Œ€ํ•ด์„œ ์ง€์ˆ˜์กฐ์ •๋ฅ  ๋ฐฉ์‹์ธ ์ƒ์‚ฐ์ž๋ฌผ๊ฐ€์ง€์ˆ˜๋ฅผ ์‚ฌ์šฉํ•  ํ•„์š”๊ฐ€ ์žˆ์œผ๋ฉฐ, ์ด์— ๋Œ€ํ•œ ์ง€์†์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค.

Acknowledgements

์ด ๋…ผ๋ฌธ์€ 2014ํ•™๋…„๋„ ์ œ์ฃผ๋Œ€ํ•™๊ต ํ•™์ˆ ์ง„ํฅ์—ฐ๊ตฌ๋น„ ์ง€์›์‚ฌ์—…์— ์˜ํ•˜์—ฌ ์—ฐ๊ตฌ๋˜์—ˆ์Œ.

References

1 
ECOS (Economic Statistics System, The Bank of Korea) (http:// ecos.bok.or.kr).ECOS (Economic Statistics System, The Bank of Korea) (http:// ecos.bok.or.kr).Google Search
2 
Hong, J. H. and Lee, D. W. (2014). โ€œAnalysis of road construction project's escalation under historical data-based estimate system in Jeju.โ€ Journal of the Korean Society of Civil Engineers, Vol. 34, No. 2, pp. 667-676 (in Korean).10.12652/Ksce.2014.34.2.0667Hong, J. H. and Lee, D. W. (2014). โ€œAnalysis of road construction project's escalation under historical data-based estimate system in Jeju.โ€ Journal of the Korean Society of Civil Engineers, Vol. 34, No. 2, pp. 667-676 (in Korean).DOI
3 
Jeong, K. C. (2008). Problems and improvement schemes to historical cost fluctuation ratio calculation according to the escalation, Chung-Ang University, Master's Thesis (in Korean).Jeong, K. C. (2008). Problems and improvement schemes to historical cost fluctuation ratio calculation according to the escalation, Chung-Ang University, Master's Thesis (in Korean).Google Search
4 
Kang, J. S. (2013). The improvement of performance evaluation on BTL sewer rehabilitation projects in jeju, Jeju National University, Master's Thesis (in Korean).Kang, J. S. (2013). The improvement of performance evaluation on BTL sewer rehabilitation projects in jeju, Jeju National University, Master's Thesis (in Korean).Google Search
5 
Oh, B. H. (2012). Improvement of adjustment method for price fluctuation in build transfer lease projects, Chungbuk National University, Master's Thesis (in Korean).Oh, B. H. (2012). Improvement of adjustment method for price fluctuation in build transfer lease projects, Chungbuk National University, Master's Thesis (in Korean).Google Search
6 
Park, Y. H. (2005). An improvement plan of contract price adjustment through the problem analysis of the current price escalation regulation in construction projects, Chung-Ang University, Master's Thesis (in Korean).Park, Y. H. (2005). An improvement plan of contract price adjustment through the problem analysis of the current price escalation regulation in construction projects, Chung-Ang University, Master's Thesis (in Korean).Google Search
7 
The Bank of Korea (2014). National Accounts 2013 (in Korean).The Bank of Korea (2014). National Accounts 2013 (in Korean).Google Search