Ⅰ Ⅱ Ⅲ Ⅳ Ⅴ 1 Ⅰ 2 3 4 5 6 7 8
9 10 11 12 1 2 3 4 1 2 3 1 Ⅳ 2 Ⅲ - 4 -
3 Ⅱ 4 5 6 7 1 2 Ⅲ 1 Ⅱ 1 2 1
1 Ⅰ Ⅱ Ⅲ Ⅳ Ⅴ Ⅵ Ⅶ
() (Ⅰ) : 4 (Korean Child Friendly City, KCFC) OECD TALIS - OECD TALIS Starting Strong Survey 2018-3 -
- 4 -
- 5 -
8,364,535 8,236,119 7,952,768 283,351 3.4% 6,819,416 6,779,000 6,770,000 9,000 0.1% 6,819,416 6,779,000 6,770,000 9,000 0.1% 2,470,847 2,687,842 2,758,000 70,158 2.6% 2,304,789 2,385,562 2,533,000 147,438 6.2% 166,058 302,280 225,000 77,280 25.6% - - - - - 443,515 404,099 404,000 99 0.1% 1,307,054 1,245,059 1,245,000 59 0.1% 1,956,000 1,800,000 1,721,000 79,000 4.4% 642,000 642,000 642,000 - - - - - - - - - - - - - - - - - 1,545,119 1,457,119 1,182,768 274,351 18.8% 1,501,000 1,413,000 1,161,000 252,000 17.8% - - - - - 39,119 39,119 16,768 22,351 57.1% 5,000 5,000 5,000 - - - - - - - - - - - - - - - - - - - - - - - - - - - 8,364,535 8,236,119 7,952,768 283,351 3.4% 2,995,668 3,231,032 3,315,000 83,968 2.6% 4,216,352 3,891,988 3,531,768 360,220 9.3% 443,515 404,000 404,000 - - 709,000 702,000 702,000 - - - - - - - - 6 -
8,364,535 8,236,119 7,952,768 283,351 2,995,668 3,231,032 3,315,000 83,968 4,216,352 3,891,988 3,531,768 360,220 1,307,054 1,245,059 1,245,000 59 1,072,148 1,010,153 1,010,000 153 133,000 133,000 133,000-140,000 140,000 140,000-94,906 94,906 95,000 94 1,956,000 1,800,000 1,721,000 79,000 - ( 11-16) 90,000 - - - - -3~5 ( 12-17) 383,500 350,000-350,000 -, ( 13-17) 107,000 110,000-110,000 - ( 13-17) 108,200 80,000-80,000 - ( 15-19) 89,300 80,000 70,000 10,000 - - ( 16-18) 100,000 90,000 79,000 11,000 - - ( 16-20) 200,000 150,000-150,000 - KICCE( 17-21) - 120,000 100,000 20,000 - -2018~2022 ( 18-22) - - 100,000 100,000 - ( 18-22) - - 300,000 300,000 - ( 18-21) - - 60,000 60,000 - - - 100,000 100,000 - ( 15~17) 188,000 160,000-160,000-7 -
- ( 18-20) - - 80,000 80,000 - - - 160,000 160,000 (( 16-20) - (Ⅱ)( 16~27) 500,000 500,000 512,000 12,000 - () 110,000 110,000 110,000 - -() 50,000 50,000 50,000 - -() 30,000 - - - 953,298 846,929 565,768 281,161 443,515 404,099 404,000 99 709,000 709,000 702,000 7,000-8 -
Ⅰ Ⅰ
. ( 2) -. -. ( ) ( 4) - - - - - - - 1,,,. -,. -,. -,,,,. - 13 -
- 2013 1.19 OECD, 2010 11% 2050 38%. -,. - 1, 2. -,,. -,. -. -,. - ( Perry Preschool Project, 2003; EPPE Project, 2007). -. - ECEC(Early Childhood Education and Care),,,. - OECD ECEC. - ECEC,,. - 14 -
- ( Perry Preschool Project, 2003; EPPE Project, 2007). -. - ECEC(Early Childhood Education and Care),,,. - OECD ECEC. - ECEC,,., 3-5....., - 15 -
..,,...,. Hub Hub - 16 -
1. --()- 1-4. 14. (),..,.,,,,,, ( ) 17 3 *, ** * ( ㆍ ㆍ ) ㆍ () **,, 2. 2-1. 17. () ㅇ ( ),, 22 34 ㅇ () - 17 -
-,, -, ( ) - ㆍ 2-4. 4 33., ICT 4 () ㅇ ( ) AI, ㆍ, 3. 3-1. 42. () ㅇ ( ) 18 0~5 10, 17 (30, 3) - 18 ㆍ () 25 43., () ㅇ ( ) 17 43.7 22 80, 20 40 ( ) 44. () ㅇ ( ) - 17 15 5%, 45. () ㅇ ( ) 22,, ㆍ 3-2. 48. () ㅇ ( ㆍ ) 22 30%, 17, ㅇ ( ㆍ ) 18 (0~5, 10), 22 40% ㅇ (- ) 17 3 2, 18 (10to4 ) ㅇ ( ) ㅇ ( ),, - 18 -
- 17-49. () ( ) 18, ㆍ ( 17 25% 22 40%) ㅇ ( ) ㆍ ㆍ - ( 18),, ( ㆍ ) * ㆍ ㅇ ( ) - (,, ), - ㆍ ㆍ ( 17~) 50. () ㅇ ( ) ㆍ,, 51. () ㅇ ( ) ㆍ (), ( ), ㆍ * ㆍ ( 18 6 ) - ㆍ ( 18) -, ㆍ ( 17~) 53. () ㅇ ( ) ㆍ ㆍ -, 54. () ㅇ ( ㆍ ) ( 21, 1), ( 20) ㆍ ( 18~) - STEAM ㆍ ㅇ ( ) 1 OECD, ㆍ ( ㆍ ), ㅇ ( ) 18, -,,, ( 18) ㅇ ( ) 18, ( 18) -, ( 17 3~5 20 ) - 19 -
3-3. 58. () ( ), ㆍ - 19 ㆍ ㆍ 3-4. 65. () ㅇ ( ) ㆍ - * * ㆍ () ㆍ ㆍ ㅇ ( ) ㅇ ( ) - ㅇ ( ) ㆍ 3-5. 71. () ㅇ ( ㆍ ) 17 3 2, 18-10 to 4, ㆍ ㆍ 4. 4-1. 74. () ㅇ ( ) 18-76. () ㅇ ( ) 17, ( 19) ㅇ ( ) 17 ㆍ ㆍ ㆍ ( ) ㅇ ( ) ㆍ ( 17), ㅇ ( ㆍ ), ( 17) 5. 5-2. 94. () ㅇ () ㆍ - 20 -
Ⅱ,.,,,,. - 23 -
,, (KICCE ),.,,. 2018( Ⅱ) (III): : KICCE,. - 24 -
,. (Ⅰ) : OECD TALIS - OECD TALIS Starting Strong Survey 2018. 2018~2022,. (Ⅳ):,. (, ), ( ) :,, : :, - 25 -
- 26 -
- 27 -
Ⅰ..,,. (,, ) - 28 -
3,,.. - 29 -
- 30 -
Ⅲ Ⅲ
Ⅲ Ⅰ - 33 -
- 34 -
- 35 -
- 36 -
Ⅳ Ⅱ - 37 -
. Ⅲ - 38 -
. Ⅱ... - 39 -
- 40 -
Ⅳ Ⅳ
Ⅳ () (Ⅰ) : (Korean Child Friendly City, KCFC) - 43 -
2.. 809,000 70,000 79,000 100,000 100,000-44 -
300,000 60,000 100,000. 240,000 80,000 160,000... - 45 -
. - 46 -
Ⅴ Ⅴ
(1) () (Ⅰ) : 1) 2017. () 49. -,,.,,,. (, 2013)., (, 2012)., (, 2014)., (, 2014). 1) 3 연구로 2 차년에는시설, 3 차년에는프로그램중심으로추진예정임. - 53 -
(, 2014). (, 2014)., / (, 2014). (, 2013)., /.. /.., (). () - 54 -
,, - 55 -
,,,,,,,..,,,,,,,,, /, / (3) 1, 2, 3.,, : ( ) - 56 -
:, :, -,.. -,, 4.,. : : 4 :,, :,, 3 :,, - 300, 300, 300, 300 1,200 :,,,,, 100 : 2 ( 2 ) : :,, - 57 -
,,,, :, () (), :,,, 2018 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3-58 -
() (Early Childhood Education) (Preschool Teacher) (Teacher Policy) (Kindergarten) (Child Care Center - 59 -
() 78,000 13,100 700 5,150 1,310 10,408 3,132 18,800-60 -
( ) 2,200 23,200-61 -
( ) - 62 -
(2) - 63 -
, (, 2017,, 2017, 2017 1 11 ) - 64 -
-: -(): (2013) -: -FGI:,, -:,,,,, - -, -: -(): (2015) -:, - -2 : 2013 - :, - :,, - -,, - :, - -: - - -(): (2015) -: - -:, - :,,,,, -. -. -: -(1): 100,, -(2): 500, -: 1) 2), 3) -: -, - -, - - ( ) - 65 -
,, -,, - 66 -
- - - - - 67 -
2018 2 3 4 5 6 7 8 9 10 11 I. 16. () (public-private partnership) (child care) (governance) (care system), - 68 -
() ( ) 2,500,000 1 6 = 15,000,000 70,000 1 9 5 = 3,150,000 2,000 100 = 200,000 20,000 7 = 140,000 (, ) (8,180+101 95) 160p 1.1 = 3,128,000 282,400 10 = 2,824,0000 100,000 3 8 = 2,400,000 20,000 3 5 = 300,000 100,000 3 2 = 600,000 50,000 4 = 200,000 50,000 2 2 = 200,000 6,000 3 3 2 = 108,000 150,000 6 4 = 3,600,000 IRB 200,000 2 = 400,000-200,000 2 = 400,000-18,150 340 5,952 350 3,300 508 7,900-69 -
300,000 3 = 900,000 100,000 3 2 = 600,000 1) : 100,000 10 = 1,000,000 2) : 50,000 10 = 500,000 100,000 5 = 500,000 (, ) 25,000 6 10 = 1,500,000 25,000 4 10 = 1,000,000-1: 35,000 500 = 17,500,000-2: 35,000 100 = 3,500,000 2,500 21,000 ( ) ( ) - 70 -
(3),.. 2017.1.1., 2019.12.31..,..,,,,. - 71 -
,,. - 72 -
, 2019.12.31., - 73 -
,,, 2018 1 2 3 4 5 6 7 8 9 10 11 12 (1/1) 10 2018.2.1 2018.11.30-74 -
M M2 () (child care and (education (child (governance) education policy) finance) care finance) - 75 -
() 1. 2. 3. 4. 5. 6. 7. ( ) 2,500,000 1 5 = 12,500,000 70,000 1 3 4 = 840,000 2,000 300 = 600,000 20,000 20 = 400,000 / 5,000 12 = 60,000 (8,180+101 95) 1.1 150 = 2,933,000 188,900 10 = 1,889,000 ( ) 500,000 1 = 500,000 450,000 1 = 450,000 1,230,000 1 = 1,230,000 PC 70,000 1 5 = 350,000 - ( ) 100,000 5 7 = 3,500,000-20,000 5 10 = 1,000,000 100,000 7 4 = 2,800,000 ( ) 50,000 4 3 = 600,000 50,000 3 2 = 300,000 6,000 3 9 4 = 648,000 ( ) 400,000 3 = 1,200,000 100,000 10 4 = 4,000,000 : 200,000 2 = 400,000 : 300,000 3 = 900,000 350,000 2 = 700,000 IRB 200,000 1 = 200,000-100,000 5 8 = 4,000,000 13,340 1,060 4,822 2,530 7,300 2,748 10,200-76 -
8. 25,000 20 4 = 2,000,000 25,000 4 10 = 1,000,000 3,000 ( ) () () ( ) - 77 -
(4) 252 (, ),,.,,,. 1 (2015~2019)(, 2015: 54) - 78 -
3 (2016~2020)(, 2016: 64-85),, (, 2016: 258), (, 2012: 36)., (, 2015). (, 2015) (, 2015: 25) +,, (, 2016: 258-260),,,. PMI (Consultatiebureau) - 79 -
(2016),,. (, ),,, - 80 -
2 () GIS () PMI () - 81 -
,, (,, ) : (, ) : 500, 500 1,000 - - (: + ) - - GIS () FGI,,, PMI,, 2~3 15. - 82 -
.,..,, () () 2018 1 2 3 4 5 6 7 8 9 10 11 12-83 -
I J I5 I6 J3 () (Integrated Support System) ( Support (Service (Support pregnancy (networking) Integration) rearing) and childbirth) 親 親 2 2 45 48 53-84 -
() ( ) 2,500,000 1 5 = 12,500,000 70,000 1 11 5 = 3,850,000 2,000 300 = 600,000 20,000 20 = 400,000 / 5,000 12 = 60,000 (8,180+101 95) 1.1 150 = 2,933,000 43,610 10 = 436,100 920,000 60,000 2 = 120,000 50 120page 120 = 720,000 80,000 1 = 80,000 ( ) - 700,000 2 = 1,400,000 - ( ) 100,000 4 7 = 2,800,000-20,000 4 14 = 1,120,000 (,, 6 8) - 2,220,600 2 = 4,441,200 - (,, ) ( 1 1 ) ($35 8+$160 6+$78 8) 1,130= 2,106,320 ( 1 2 ) ($30 8+$137 6+$59 8) 1,130= 1,724,380 50,000 4 2 = 400,000 50,000 3 2 = 300,000 6,000 4 4 4 = 384,000 100,000 10 3 = 3,000,000 300,000 2 = 600,000 : 200,000 2 = 400,000 : 300,000 3 = 900,000 16,350 1,060 4,289 1,400 12,192 1,084 13,500-85 -
200,000 3 = 600,000 100,000 4 = 400,000 (,,, ) 400,000 4 1 = 1,600,000 2,500,000 2 = 5,000,000 ( ) 50,000 20 = 1,000,000 25,000 120 = 3,000,000 25,000 20 6 = 3,000,000 25,000 15 3 = 1,125,000 25,000 4 10 = 1,000,000 () : 20,000 500 = 10,000,000 : 20,000 500 = 10,000,000 ( ) 8,125 20,000 ( ) - 86 -
(5), DB.,,,..,.,,..,,,., - 87 -
. (),, (, 2013). 3 (2016~2020), 3 (2016~2020),.,. 2016 11 ( ) ( ),.,,,.,.,.,,.,.. - 88 -
,.,.,,.,,,. - 89 -
( ),,,,,,,, ( ),,,,,.,.., FGI,,,, - 90 -
,, (Focus Group Interview) ( ) 400., (, ), FGI.,, (, ), (Hebamme) (Tagesmutter)., 3, (),.,.,,. - 91 -
2018 1 2 3 4 5 6 7 8 9 10 11 12 FGI / I I6 () (Baby-sitter) (Baby-sitter) (Home Based Child Care) - 92 -
() 78,000 ( ) - 93 -
( ) ( ) - 94 -
(6) 4.. 2016 3. 1.21 OECD. 2016 4 0.26 0.03...,,, - 95 -
. 4,,,. 4. 4. 4,.,.. 4. 4,. 4. - 96 -
4 4-97 -
. 4, 4-98 -
4 2018 1 2 3 4 5 6 7 8 9 10 11 12 회의 / 면담등구체적진행은상황에따라조정가능함. - 99 -
Ⅰ Ⅰ6 4 () (The Fourth Industrial Revolution) (birth) (child-rearing) (big data) (data-based) () 70,000 1 13 7 = 6,370,000 ( ) 33,870-100 -
2,500,000 1 11 =27,500,000 2,000 200 = 400,000 20,000 20 = 400,000 5,000 20 = 100,000 (, ) (8,180+101 95) 1.1 200 = 3,911,000 87,900 10 = 879,000 ( ) - 800,000 1 = 800,000 PC 70,000 1 7 = 490,000 70,000 1 11 = 770,000 - ( ) 100,000 3 4 = 1,200,000-20,000 3 10 = 600,000 100,000 4 = 400,000 50,000 3 3 = 450,000 6,000 3 5 7 = 630,000 100,000 5 7 = 3,500,000 : 200,000 2 = 400,000 : 300,000 3 = 900,000 IRB 300,000 2 = 600,000 100,000 2 40 = 8,000,000 25,000 6 10 = 1,500,000 6 = 900,000 900 4,790 2,060 1,800 1,480 13,400 2,400 ( ) 10,000,000 1 6 = 60,000,000 60,000 ( ) - 101 -
() () ( ),.,,. - 102 -
(7), 55( ),.,,,,.,..,,,,, - 103 -
.,,..,,,.,.,. - 104 -
, ( ),,,,,, - 105 -
,, (50 ),,, 2018 1 2 3 4 5 6 7 8 9 10 11 12-106 -
2018 1 2 3 4 5 6 7 8 9 10 11 12 I(), M(), I6( ), M2() () (Local Childcare Finance) (Local Early Childhood Education Finance) (Financial Analysis),,,,, - 107 -
() 45,000 ( ) 2,500,000 1 5 = 12,500,000 70,000 1 4 3 = 840,000 2,000 300 = 600,000 20,000 20 = 400,000 / 5,000 12 = 60,000 10,000 50 2 = 1,000,000 (8,180+101 95) 1.1 300 = 5,866,000 168,000 10 = 1,680,000 ( ) - 700,000 1 = 700,000 PC 70,000 1 5 = 350,000 70,000 1 3 = 210,000 - ( ) 100,000 2 8 = 1,600,000-20,000 3 10 = 600,000 100,000 3 3 = 900,000 50,000 2 = 100,000 50,000 3 2 = 300,000 13,340 2,060 8,916 1,260 3,100 724-108 -
6,000 3 6 3 = 324,000 100,000 5 6 = 3,000,000 - : 200,000 2 1 = 400,000 - : 300,000 3 1 = 900,000 200,000 1 2 = 400,000 IRB 200,000 1 = 200,000 ( ) 3,000,000 1 = 3,000,000-60,000 50 = 3,000,000-100,000 5 2 = 1,000,000, 10,000 100 1 = 1,000,000 25,000 8 6 = 1,200,000 25,000 5 4 3 = 1,500,000 ( ) 11,900 3,700 ( ) - 109 -
(8).,,.,,.,,.,,.. 2016,.... - 110 -
2016 1.17 10. - (Eurofound, 2016).. 2016 68.8%. 41.5%.. - (Eurofound, 2016).... 2015 65% 50,,.... - 111 -
..,,,.,,. - 112 -
(,, ), ( ),, - 113 -
(400), (400), (400),, FGI (15), (15), (15), FGI EU (Work-life balance) Eurofound - 114 -
FGI 2018 1 2 3 4 5 6 7 8 9 10 11 12 I. I6 - - () (Work-life balance) (family-friendly working condition) (child care) - (, ) - 115 -
- () ( ) 2,500,000 1 5 = 12,500,000 70,000 1 12 8 = 6,720,000 : 70,000 3 13 1 = 2,730,000 3,000 100 = 300,000 20,000 10 = 200,000 / 5,000 12 = 60,000 (8,180+101 95) 1.1 150 = 2,933,000 50 400page 150 = 3,000,000 315,236 10 = 3,152,360 (,, ) 850,000 3 = 2,550,000 1,000,000 1 = 1,000,000 PC 70,000 1 5 = 350,000 70,000 1 8 = 560,000 21,950 560 9,085 4,460-116 -
- 100,000 3 5 = 1,500,000-20,000 3 10 = 600,000 100,000 2 5 = 1,000,000 ((), 2, 3 4)) 2,321,500 2 = 4,643,000 ( 2, 1, 3 4) (35$*4+160$*4+78$*3) 1,130 2 = 2,291,640 ( ) 100,000 4 = 400,000 50,000 3 1 = 150,000 300,000 1 = 300,000 6,000 3 5 4 = 360,000 ( ) 300,000 1 = 300,000 100,000 5 5 = 2,500,000 200,000 2 = 400,000 300,000 3 = 900,000 IRB 2(200,000 2) = 400,000 ( ) 1,000,000 1 = 1,000,000 ( 3 ) 1,000,000 1 = 1,000,000 200,000 6 = 1,200,000 150,000 5 = 750,000-100,000 15 = 1,500,000 100,000 15 = 1,500,000 100,000 15 = 1,500,000 25,000 10 4 = 1,000,000 20,000 25 2 = 1,000,000 25,000 4 10 = 1,000,000 25,000 150 = 3,750,000 () - 10,035 1,510 12,650 6,750 18,000-117 -
15,000 400 = 6,000,000-15,000 400 = 6,000,000-15,000 400 = 6,000,000 ( ) () () ( ) - 118 -
(9),,. 2016 1.17,. 2016 40 6 1970 100 7..,.., 10., 1991 89,441 2016 145. 1991 3,690 2016 41,084. 0~2 2011~2013 3. - 119 -
2011 2012 2000 8,494 2015 8,930. 2013,,,. 2000 85.8% 2016 82.1%. 70%.,,, (20~39 65 ).,,,,,,,,,,,..,,,, 75%.,.,.,,. - 120 -
-: -(): (2007) -:,, -: -(): (2016) -: -: -(): (2016) -:,,,, -,,. - -:,, 232 - - - - DB -, - -:,,, - -, - - :, -:,, - -, -,,, -, - - - - - -,, - - - - - - - - 121 -
, (, ), : ~ 2018, : ~ 2018,,,, (,, ),,, - 122 -
, ~,,,, (1991~2017),,,, -, -,, 300 2012~2017,, GIS,,,, - 123 -
2018 1 2 3 4 5 6 7 8 9 10 11 12 A J M (childcare (demand (low fertility () (kindergarten) center) prediction) policy) ( ),, - 124 -
() 1. 2. 3. 4. 5. 6. 7. ( ) 2,500,000 1 5 = 12,500,000 70,000 1 9 10 = 6,300,000 2,000 200 = 400,000 50,000 4 = 200,000 50,000 10 = 500,000 (, ) (8,180+101 95) 1.1 193P = 3,774,000 56,400 10 = 564,000 50 2000page 5 = 500,000 PC 70,000 1 5 = 350,000 ( ) 700,000 1 = 700,000 - ( ) 100,000 2 5 = 1,000,000-20,000 3 10 = 600,000 100,000 3 3 = 900,000 ( ) 50,000 20 = 1,000,000 50,000 3 10 = 1,500,000 6,000 3 3 3= 162,000 100,000 6 10 = 6,000,000 18,800 1,100 4,838 1,050 2,500 2,662 43,300-125 -
8. : 200,000 2 = 400,000 : 300,000 3 = 900,000 : GIS, - 3,000,000 2 = 6,000,000 ( ) - (, ) 50,000 300 2 = 30,000,000 25,000 10 10 = 2,500,000 25,000 5 10 = 1,250,000 3,750 ( ) - 126 -
(10) (Korean Child Friendly City, KCFC).,, (,, 2007). - - 2018,, - 1 (2015-127 -
~2019) -,,,. 2013.,,. WHO, (2009), (2009) -,,,,,,,,,,,,, - 2017 10 46 //, - 128 -
(Korean Child Friendly City, KCFC), 1990 1. (KCFC),, - 129 -
-: -():(, ) (2016) -: -: -(): ( ), (2015) -: -: -(): (2015) -: - -: -: (,,,,, ) - - : - - -:, -:1), 2) - 대국민조사 : 국내거주국민 5000 명대상아동친화도시관련수요자욕구조사 - (deep-depth interview) : 1) ( 기인증, 비인증, 인증추진중지자체담당공무원 ), 2) 아동및해당부모를대상으로시행 - : 서울, 경기, 충정, 부산, 전라권역당대표지자체와유관연구최초로오스트리아, 독일주요도시방문하여자료수집및사례조사 - :, NGO, - - - - - - - - - - - - -, - - - 130 -
(), ( ) UN ( : ),,,, 5 NGO, - /,,, - 131 -
(KCFC),, --, - : 3,000 - : (deep-depth interview) - - - - -,,,, 5, - -- - - 132 -
-, ( ) 2018 2 3 4 5 6 7 8 9 10 11 I. 16. () (Communit (Child (governa (Child (Child (Quality of (Law birth y) friendly) nce) right) welfare) life) rate) - 133 -
() 80,000 ( ) 2,500,000 1 6 = 15,000,000 70,000 1 15 5 = 5,250,000 70,000 1 10 5 = 3,500,000 2,500 100 = 250,000 30,000 3 = 90,000 (, ) (8,180+101 95) 160p 1.1 = 3,128,000 50 200page 10 = 100,000 23,750 340 5,403-134 -
217,472 10 = 2,174,720 PC 70,000 1 6 = 420,000 70,000 1 4 = 280,000 - ( ) 100,000 3 8 = 2,400,000-20,000 3 10 = 600,000 ( 2, 5 7) - 2,259,600 2 = 4,519,200 - ( 2, 2 ) ($30*7 + $137*5 + $59*7) 1,130 2 = 2,956,080 50,000 4 = 200,000 50,000 2 2 = 200,000 6,000 3 8 3 = 432,000 200,000 2 = 400,000 300,000 3 = 900,000 IRB 200,000 1 = 200,000 1,000,000 2 = 2,000,000 1: (, ) 2: 2,500,000 2 = 5,000,000 1) : 100,000 10 = 1,000,000 2) : 50,000 10 = 500,000 100,000 5 = 500,000 700 12,075 832 13,900 5,000-135 -
18,000 ( ) ( ) - 136 -
(11) OECD TALIS 2) - OECD TALIS Starting Strong Survey 2018. 4... OECD, 2) 교원 은교사와원장을통칭하는표현으로, 본사업의한국명칭을 OECD TALSI 국제유아교원조사 로함을반영함. 다만, 교원 / 교사용어를맥락에따라함께사용함. - 137 -
,., OECD (ISCED 0.2). 3),,. OECD ECEC(Early Childhood Education and Care) 2018. ECEC,. 1 -: - / -3-5 / 3) 유아교원 (3-5 세아동대상교사와원장, ISCED 0.2) 만을대상으로 TALIS 국제비교연구에참여함. 향후 2 주기사업에서는관련예산의확보를고려하여영아교사 (0-2 세아동대상교사 ) 도함께조사하는방안을논의할수있음. - 138 -
2 3 :OECD TALIS 2017 -(): (2017) -: OECD TALIS Starting Strong Survey, 3-5 (Field Trial) -TALIS Starting Strong Survey -2018 - -: - : TALIS 2 - -TALIS -(): (2015) - -: OECD-TALIS -/,,, -: - -(): (2015) -:, 3, -OECD TALIS 2018 - (3-5), OECD. - () - - - - / (Main Survey) -OECD - 258 2,006 258 - -/,, -/ - -, <TALIS 2008-2013 > - - - () - - - - - - - - - (ECEC Staff). -2017,. - 139 -
연도사업진행조사대상 2017 (Field Trial) 42 359 2018 (Main Survey) 258 2,264 2019 OECD TALIS 3S 2020 (2018- ) :,,,,, :,,,, 2018 TALIS 3S (N=2,264: 258, 2,006) OECD TALIS NPM(National Project Manager), NDM(National Data Manager)/NSM(National Sampling Manager) - 140 -
OECD ECEC 3S (NPM) (1/4 분기 ) 본조사수행준비및 7 차네트워크회의 - (2/4) (NPM) - (3/4) 8 *. 2018 1 2 3 4 5 6 7 8 9 10 11 12 TALIS 3S TALIS 3S TALIS 3S M () I () M2 () I6( ) / OECD TALIS () (staff) (International Survey) (OECD) TALIS Starting Strong Survey - 141 -
OECD () ECEC () () () () 129,300 70,000 1 7 3 = 1,470,000 70,000 1 7 5 = 2,450,000 13,920 2,500,000 1 4 = 10,000,000 2,000 200 = 400,000 20,000 18 = 360,000 760 (, ) (8,180+101 95) 1.1 150 = 2,933,000 OECD () 40,000,000 1 = 40,000,000 54,483 10 = 544,830 ( ) - 500,000 1 = 500,000 250,000 2 = 500,000 70,000 1 4 = 280,000 - ( ) 43,478 1,280 13,124-142 -
100,000 3 2 = 600,000-20,000 3 5 = 300,000 100,000 5 = 500,000 50,000 3 2 = 300,000 6,000 3 3 7 = 378,000 100,000 5 5 = 2,500,000 (Center Coordinator) 50,000 258 1 = 12,900,000 (, ) 300,000 2 2 = 1,200,000 200,000() 2 = 400,000 300,000() 3 = 900,000 IRB 200,000 1 = 200,000-100,000 3 5 = 1,500,000 25,000 10 8 = 2,000,000 / () 15,000 1 2,264 = 33,960,000 1,178 19,600 2,000 33,960-143 -
- 144 -
(12) 양식 EBOP01 EBOP02. EBOP03,. EBOP04 EBOP05 () EBOP06-145 -
EBOP07 2009. 4. 30. 2011. 12. 30. 2014. 2. 4. 2016. 12. 30. 1(). 2( ) 1 1 ( 2011. 12. 30). 2. 1..... 2...... (T/F ) 3( ) 1 ( 2011. 12. 30). 2,,. 3. 4. - 146 -
EBOP07 4( ) 1 (, ). 2 1. 3 3 ( 2011. 12. 30). 2. 3 2,. 3. 2. 5( ) 1, 2 1 ( 2011. 12. 30). 2 ( 2011. 12. 30). 3,. 3 : 1 ( 2011. 12. 30, 2014. 2. 4) 1 (). 2 (). (2011. 12. 30) 1 (). (2014. 2. 4) - 147 -
EBOP07 1 (). (2016. 12. 30.) 1 (). - 148 -
. (1) KICCE ERP02 ERP03.,,. ERP04,,, ERP05 ERP06,.. - 151 -
ERP07 (10/) 2018. 1. 1. 2018.12.31. () ERP08 30,000 20,000 15 = 300,000 13 9,000,000 1 = 9,000,000 (8,180+101 115) 1.1 50 5 = 5,443,000 50 6000page 1 = 300,000 68,700 10 = 687,000 ( ) -, 650,000 4 = 2,600,000-20,000 3 2 = 120,000 50,000 5 5 = 1,250,000 6,000 4 25 = 600,000, - 400,000 2 2 = 1,600,000-200,000 5 2 = 2,000,000-300,000 1 2 = 600,000-200,000 2 8 = 3,200,000 300 15,430 2,600 1,370 600 7,400, 25,000 30 2 = 1,500,000 10,000 10 8 = 800,000 2,300-152 -
( ) ERP09-153 -
(2) ERP01 ERP02 ERP03.,.. ERP04 KICCE 3 International Journal of child care and education policy 2 ERP05 ERP06,.,.. - 154 -
ERP07 (11/) 2018.1.1. 2018.12.31. () 40,000 ( ) 2,500,000 1 6 = 15,000,000 15,000-1,107 250 3= 830,000-2,590 {120,000() 2+150,000() 2 +170,000() 2} 2 = 1,760,000 KICCE - 50 120page 250 3=4,500,000-4,000 55 3 = 660,000 12,310 KICCE - () 500(715,000) 10 = 7,150,000-60 20,000 1 3 = 60,000 KICCE - 100,000 9 3 = 2,700,000-50,000 3 10 3 = 4,500,000 9,200 KICCE - 100,000 2 5 2 = 2,000,000-840 20,000 14 3 = 840,000 ERP08 ( ) ERP09-155 -
(3) ERP01 ERP02 ERP03 (The ECEC Hub of the Asia region). ERP04,, 13 - MOU MOU MOU OECD, UNESCO, UNICEF, World Bank, ARNEC -,, (),, - 156 -
,,, - (NCCIC), (ERIC), (NAEYC), (PECERA), (EECERA), OMEP( ) PECERA, SRCD, NAEYC, EECERA, OMEP,, ERP05, ERP06 ERP07 (10/) 2018. 1. 1. 2018.12.31. () ERP08 40,000 () 10,000 50 = 500,000 VIP : 50,000 20 = 1,000,000 : 2,500 100 = 250,000 () 50 2000page 2 = 200,000 500 2,173-157 -
72,316 10 = 723,160 ( ) - 800,000원 1회 = 800,000 () - 100,000 2 2 = 400,000-20,000 2 5 = 200,000 1) MOU (, 2, 1, 1, 57) - 2,220,600 3 1 = 6,661,800 - (), 2, 1, 1 ) ($35 7+$223 5+$107 7) 1,130 3=7,149,514 2) (,, 3, 1, 34) - 860,850 3 = 2,582,550 - (, 3, 1 ) ($35 4+$223 3+$107 4) 1,130 3=4,193,432 () 6,000 4 5 2 = 240,000 250,000 4 = 1,000,000 () 100,000 5 3 = 1,500,000 () ( ) 1,000,000 1 = 1,000,000 13 25,000 120 = 3,000,000 25,000 8 3 = 600,000 - MOU 80,000 5 2 = 800,000-80,000 15 = 1,200,000 MOU 6,000,000 1 = 6,000,000 800 21,187 240 3,500 5,600 6,000-158 -
( ) ERP09-159 -
(4) ERP01 ERP02 ERP03, ERP04 (: OECD,, ), 2, ERP05 ERP06-160 -
(11/) 2018. 1. 1. 2018.12.31 ERP07 () ERP08 30,000 ( ) - 1,500,000 6(6) 1 = 9,000,000-500,000 4 1 = 2,000,000 2,000 500 = 1,000,000 (8,180+101 95) 1.1 150 2 = 5,866,000 (8,180+101 95) 1.1 100 = 1,955,000 50 4,000page 3 = 600,000 81,900 10 = 819,000 - ( ) 100,000 2 4 = 800,000-20,000 3 10 = 600,000 6,000 5 2 6 = 360,000 ( ) 1,000,000 2 1 = 2,000,000 500,000 6 = 3,000,000 25,000 10 8 = 2,000,000 11,000 1,000 9,240 1,400 360 5,000 2,000 ( ) ERP09-161 -
- 162 -
. (1) ESP01 ESP02 ESP03.,,.. ESP04,,, ESP05 ESP06. - 165 -
.. ESP07 (11/) 2018. 1. 1. 2018.12.31. () ESP08 42,000 () - 3,000 34 3 1 = 306,000-3,000 34 2 1 = 204,000 ( ) - 5,000 34 3 1 = 510,000-5,000 34 2 1 = 340,000 (8,180+101 25) 1.1 30 1 = 353,000 (8,180+101 95) 1.1 100 = 1,956,000-72 50 34 5 1=612,000 2,000 34 5 1=340,000-108 50 34 6 1=1,102,000 2,000 34 6 1= 408,000 164,500 2 = 329,000-100,000 4 6 = 2,400,000-20,000 2 5 = 200,000 1,360 5,100 2,600-166 -
6,000 4 10 = 240,000-100,000 10 2 = 2,000,000-200,000 6 2 = 2,400,000-150,000 6 2 = 1,800,000-150,000 6 2 =1,800,000-200,000 4 3 = 2,400,000-25,000 15 2 = 750,000-25,000 10 2 = 500,000-25,000 10 2 = 500,000 8 = 1,400,000 25,000 10 3 = 750,000 () 25,000 10 2 = 500,000 10,000,000 1 = 10,000,000 7,900,000 1 = 7,900,000 240 10,400 4,400 17,900 ( ) ESP09-167 -
(2) ESP01 ESP02 ESP03,,,.,,. ESP04 : 1(, ) () : 4 (e-newsletter): : KICCE Policy Brief: 3 : 1 ESP05-168 -
ESP06,.,. (11/) 2018. 1. 1. 2018.12.31. () ESP07 ESP08 47,000 650,000 4 = 2,600,000 300,000 12 = 3,600,000 () 12,500 80 1 = 1,000,000 3,875 80 1 = 310,000 (, ) - 1,000,000 1 = 1,000,000-215 20p 500 2 = 4,300,000-2,000,000 1 = 2,000,000-50 130page 600 1 = 3,900,000 ( ) 400,000 12 = 4,800,000 50 50page 800 4 = 8,000,000 50 22page 500 12 = 6,600,000 KICCE Policy Brief 50 80page 170 3 = 2,040,000 50 346page 150 1 = 2,600,000 50 330page 100 1 = 1,650,000 7,510 36,890 - ( ) 200-169 -
() ESP08 100,000 1 1 = 100,000-20,000 1 5 = 100,000-3.0 100,000 2 1 = 200,000-100,000 2 1 = 200,000 200,000 3 = 600,000 200,000 3 = 600,000 25,000 6 2 = 300,000 25,000 4 2 = 200,000 25,000 3 4 = 300,000 400 1,200 800 ( ) ESP09-170 -
EGGP01 ㆍ ESP02 ESP03 ESP04 ESP05 ESP06-171 -
ESP07 (11/) 2018. 1. 1 2018.12.31 () ESP08 6,000 100,000 4 = 400,000 400 100,000 2 1 = 200,000 6,000 2 2 5 = 120,000 320-100,000 2 7 = 1,400,000-20,000 2 10 = 400,000-200,000 1 = 200,000-200,000 2 = 400,000, 2,480,000 = 2,480,000 25,000 4 4= 400,000 1,800 600 2,480 400 ( ) ESP09-172 -
(1) Ⅳ. 5, 2018 4. (, 2016), (, 2016).,,. 2010 (, 2010), 1,594 9.2%, 11.6%. 2005 (, 2010). (, 2016) 2011 2,515 2015 930, (, 2016)., - 177 -
.,,.,. -, ().,..,.,,. 1 -: - - (3 - : 6, 21 ) -(): - : - (207 ) - 178 -
2 3 (2016) 10 -: -: 10 -: 200,. -: -(): (2014) -: -: Ⅱ: -(): (2013) -: -, -, - -,, - -: 20 - :, 20 - - - : 350 - : 6,543 510 - : 50 -: - - -: 500-100 -: 10 - - - - - - - - -, - - - -,, - - - 2015 2017 3,. - 179 -
2015,. 2016,,,. 2017,. 5 4. 1(2015). 2(2016). 3(2017). 4(2018). 5(2019). 4(2018).,, - (, ) - - - 180 -
-, -. - -,,,, -. -., 500 -. 100 -, - 181 -
10, 10. 2018 1 2 3 4 5 6 7 8 9 10 11 12 I I4 / I6-182 -
(unmarried (unmarried (child care (supporting () (child rearing) mother) father) policy) child care)... () ( ) 19,780 600 3,600 2,860-183 -
( ) ( ) 4,840 2,720 9,600 4,000 22,000-184 -
( ) - 185 -
(2) Ⅲ 4 (2016~2020) 2002 4 (2016~2020) 4 (2016~2020),.. - 186 -
- - 3, 5 212 6. - (2014). : -:. (2015). : -: (NASA) 4, 5.,. -,,,,. - -, - - -,, - NASA Mission-X, 4, 5 4, 5 -,, - (2016). - (I): - (,, ) - -: 4 5 - ( ) KICCE, 4, 5 (2015). - - : -: OECD. - 4 5 NASA Mission-X - - - OECD ISCED0. -. -. - - ( ) - ( ) - - 1 2 KICCE - KICCE - - 187 -
(2014). :, (2015). :,, NASA Mission-X, 4, 5 KICCE (2016). (I): 4 5 NASA Mission-X (). (Ⅱ): 4 5 KICCE (1, 2) KICCE,, 1 2 KICCE 4~5 6~7-188 -
( 1, 1) KICCE,, () 4, 5, 6, 7 250 1,000, NASA Mission-X Working Group Face-to-Face Meeting 2017 (Ⅱ), 2018 NASA Mission X Face-to-Face Meeting - 189 -
,,, 2018 1 2 3 4 5 6 7 8 9 10 11 12 J J4-190 -
() (young child) (physical activity) (health) (nutrition) (obesity) () 70,000 2 13 4 = 7,280,000 70,000 1 13 5 = 4,550,000 ( ) 2,500,000 1 5 = 12,500,000 2,000 200 = 400,000 20,000 20 = 400,000 10,000 10 = 100,000 24,330 900-191 -
(8,180+101 95) 200 1.1 = 3,910,500 10,000 1,000 = 10,000,000 50,000 20 = 1,000,000 50 300page 10 = 150,000 41,148 10 = 411,482 ( ) - 1,000,000 1 = 1,000,000 PC 70,000 1 4 = 280,000 70,000 1 5 = 350,000 70,000 1 5 = 350,000 - ( ) 100,000 3 8 = 2,400,000-20,000 3 10 = 600,000 (, 2, 5 7) - 2,220,600 2 = 4,441,200 - ( 2,, 2) ($30*7 + $176*5 + $81*7) 1,130 2 = 3,744,818 50,000 4 = 200,000 50,000 2 4 = 400,000 6,000 3 8 3 = 432,000 200,000 1 = 200,000 100,000 4 10 = 4,000,000 200,000 2 = 400,000 300,000 3 = 900,000 50,000 10 = 500,000 IRB 200,000 1 = 200,000 2,500,000 2 = 5,000,000 10,000 1,000 = 10,000,000 25,000 8 10 = 2,000,000 15,472 1,980 11,186 1,232 21,000 2,900-192 -
6 = 600,000 25,000 4 3 = 300,000 ( ) ( ). - 193 -
(3) KICCE (Ⅱ)..,.,. 2017 5 KICCE, 2. 1-194 -
. 2(2018) 1,.. 2017 1. 1,. - : KICCE i-pol (2007-2015) - (): KICCE - : KICCE,, - : (KEDI POLL 1-10) - (): KEDI(1999, 2001, 2006, 2008, 2010-2015) - : - : 2014 ( ) - (): (2014) - : 1977. -. - KICCE i-pol. - : 19 75, 2,000 (2015 ) - : (2015 ) - :,,, 9 53 (2015 ) - : 17,664 13 37,000 - - i-pol /. - - - - - - - - - 195 -
- : (The Phi Delta Kappa/Gallup Poll of the Public s Attitudes Toward the Public Schools) - (): Phi Delta Kappa(1969-2015) - : 12, - : (Early Childhood Longitudinal Survey) - (): (National Center for Education Statistics) - : (Kindergarten cohort) (Birth cohort), - : - ():,, (2013) - :,,. - : - ():,, (2015) - :,. -, (, ) - :, 14 21 35 - : 18-2014 2015-1,001-3,499 - : - 1 (Kindergarten cohort) - :,,,,,, - 2 (Birth cohort) - : 2001, 14,000 -, -,, 3,, ( 1,500). -,. - (, ). - - : 1,045 98. -,,. -. - - - - - - -,,, -,,, -, (,, ),,, -, -. -,. -. - - - -, - 196 -
,,. - ( ). - - - ( 5., 100. 3.0,, 1 -, - - KICCE - 197 -
-. -. -,, 5. -,..,.,,. ( ) -,. - 19,,, 2,000. - pool. -,,. - 198 -
- 2. - 400 1 (100). FGI,,,.. KICCE POLL (1 ) 3.0. 100( ) / 2018 1 2 3 4 5 6 7 8 9 10 11 12-199 -
I(), M(), I6( ), M2() KICCE () (KICCE POLL) (Child care culture) (Child care policy) (), (), ( ),. () 1. 28,640-200 -
2. 3. 4. 5. 6. 7. 8. 9. 70,000 1 13 4 = 3,640,000 ( ) 2,500,000 1 10 =25,000,000 2,000 200 = 400,000 20,000 20 = 400,000 5,000 20 = 100,000 (, ) (8,180+101 95) 1.1 200 = 3,911,000 4,000 2,000 = 8,000,000 28,900 10 = 289,000 ( ) - 400,000 1 = 400,000 PC 70,000 1 10 = 700,000 - ( ) 100,000 3 6 = 1,800,000-20,000 3 4 = 240,000 ( ) 100,000 4 = 400,000 50,000 3 3 = 450,000 6,000 3 5 3 = 270,000 100,000 5 5 = 2,500,000 200,000 4 = 800,000 - : 200,000 2 = 400,000 - : 300,000 3 = 900,000 IRB 200,000 2 = 400,000 FGI 100,000 6 5 = 3,000,000 25,000 10 5 = 1,250,000 10,000 3 100 = 3,000,000 25,000 6 5 = 750,000 () - 900 12,200 1,100 2,040 1,120 8,000 5,000 41,000-201 -
12,000 1 2,000 = 24,000,000-11,000 2 500 = 11,000,000 500,000 12 = 6,000,000 ( ) ( ) (, ). - 202 -
(4) 2018~2022 2017 5,..,. 2006 3, (3 ) (1.13). 4,. - 1 22, ( ). (2016) 2013 62,984, 2014 66,446, 2016 70,228. -,,. 111,419, 61,321, 35,450, 30,199 (, 2016),.,,., 2015,.,. - 203 -
,,.,,.,. -: - (2010-2015) - -(): (2010), (2011), - (2012), (2013, 2014, - 2015) -:, (: ). -: - (2010-2015) - -(): (2011, 2012, 2013), (2014), - (2015) - -:, (:, ). -: - -/ -(): (2016) DB -: 2006,. - -: - *2015: *2014: 5, *2013: *2012:, *2011: -: - *2011: *2012:,, *2013: *2014:, *2015: - - - - - - 204 -
5 - - -, - - - -,. - - (1) -2-2. -.,. 1(2018 ).. -. -, 1) (;, ; ) 2). - 1),,,,,. - 2) (, ),,..,. 2, (). 2 (). - 205 -
.,, (, ),, (: ) (1 ) (1., ) (STAKES),, (),,,. 1,000, 2,000, 1,000 -, (:,, ),,,,. -,, - 206 -
. 2018 1 2 3 4 5 6 7 8 9 10 11 12 I M I6 M2 () (Child Care Policy) (Early Children Education) (Early Children Care) (Policy Evaluation) ((Policy Proposal) - 207 -
() 70,000 1 14 7 = 6,860,000 ( ) 2,500,000 1 6 = 15,000,000 3,000 100 = 300,000 10,000 20 1 = 200,000 / 5,000 20 = 100,000 (8,180+101 95) 1.1 200 = 3,911,000 58,470 10 = 584,700 ( ) 500,000 2 = 1,000,000 PC 70,000 1 7 = 490,000 70,000 1 6 = 420,000 - ( ) 100,000 3 5 = 1,500,000-20,000 3 1 5 = 300,000-100,000 4 2 = 800,000 21,860 600 4,496 1,910 10,474-208 -
(, 4 6: 1, 1) - 2,581,150 2 = 5,162,300 - ( 100,000 4 = 400,000 50,000 3 2 = 300,000 ( ) 300,000 3 = 900,000 6,000 3 10 2 = 360,000 300,000 2 = 600,000 100,000 14 = 1,400,000 IRB 200,000 1 = 200,000 200,000 2 = 400,000 300,000 3 = 900,000 20,000 3 15 = 900,000 30,000( ) 10 = 300,000 50,000( ) 10 = 500,000 25,000 8 10 =2,000,000 25,000 4 10 = 1,000,000 -,, 3,000 12,000 3,000 = 36,000,000-12,000 1,000 = 12,000,000 2,500,000 1 = 2,500,000 2,560 4,600 3,000 50,500 ( ) - 209 -
( ) - 210 -
(5),,,.,.,.,.,. 2017 5, 5.,,. 2017 5.,. - 211 -
,,,.,,.,.,,., (, ),. A-1..,.,.,.,. -, (, ) A-1., A-3. KICCE - 212 -
- A-2.. A-2.. -, 2017 3 2.2%, 9.8%, 3.1%, 2.8%.., 1, 2..,. A-3. KICCE.,,,.,,., (, ) - 213 -
,,.,,.. -: -(): (2016) -:,. -: -(): (2016) -: -: (1991, 1996, 2001) -(): (1991, 1996, 2001) -:,. - - - (1,202), - - - 62 6-27,000 -: - - Simulation -(): (2011) - - -, - - - - - - - - - - -(Rotation model) -(Rotation Sampling) - 214 -
-: 2005 (rotation sample). -: Survey of Income and Program Participation(SIPP) -(): (Census Bureau)(2004, 2008, 2014) -:,,. -: (Ⅳ) -(): (2016) -: -: 2015 - -(): (2016) -:. -: : 2004-2014 -(): (2014) - 4 -: -2 : (2012, 2013 -: 1,312( 1,820) (: ) -: 2,593( 3,650) -:,,,, - : 2004, 2009, 2012,, - -. -,,,. - 16 9., - 6 5, 19 4( 23 6, 4 8 ) - 11 8. -, 563. 0-234, 5.4%. - 1 195, 6 4,114. - 45.6%, 21.4%. - 96,400 2.7% - 35.2%, 23.5%. - : 1-215 -
-: 2004 10,,,. -: -(): (2015) -: 0-5 -: 250, 1000,. - - : - - -: - - -(): - (2012) -:,. -: KICCE -(): (2013) -:, 3 -: KICCE (II) -(): (2014) -: 2,. - - 2 - - (1997~2013 ) - 2-1, 2-1 2004 157,600, 2009 189,500, 2012 208,700 ( ) - - ( ) - : 2014 2024 2.3% - :. - :,.,, 5. - - - -. -,.. -. -2014 - -2013-2014 - 216 -
-: KICCE - (Ⅲ) -(): (2015) -:,,. -. -, -, - 2018 2022 - - - - (1997~2014 ) - 3-1, 2, 3 - - ( ) - - - - - - - : - - - - - - - - -/. -, -,, - - - - - - - -, -, - -,, -2013-2018 ( ) - - - 217 -
5, 3( ), 2018 2022 5 A-1.,. A-1.. - A-1.. -,,.,,. A-1.. - 1 2-3 ( ) 4 5 6-7 8 9-10 11 12 -,,, A-2., 5.,,. - 218 -
-,,,. -, -, -. - 1 (2018). - 2 (2019) 1,, - 3 (2020),,. - 4 (2021) - 5 (2022), 4-219 -
A-3. KICCE (2018-2022) - - 2013 KICCE. - -, (2018-2022) - - - A-3. KICCE - 1 (2018) :, 6-2 (2019) 2013-3 (2020) - 4 (2021) VAR(Vector AutoRegression) / - 5 (2022) 2013-2022 3 5. 1 3 () - 220 -
, 5. A-1., -. -,. A-1.,. - (Rotation). 1,600( 2,400 ), A-1.,, -,. -,. - 221 -
,. A-2. - A-3. KICCE - A-3. KICCE - - 2018 () 2 2018 1 2 3 4 5 6 7 8 9 10 11 12-222 -
I. I6. () (Consumption Survey) (Parents () Perception of Childrearing Costs) (Rotation Panel Survey) (Demand for (Childcare (Childrearing ECEC Cost) Price Index) services) (,, ), - 223 -
3 1 3 2 3 2 3 4 3 5 2 1 2 42 48 49 65 71 18, 26 () 300,000 < > 70,000 1 14 5 = 4,900,000 ( ) 2,500,000 1 7 = 17,500,000 1. < > 70,000 1 5 4 = 1,400,000 ( ) 2,500,000 1 1 = 2,500,000 39,450 2. <KICCE > 70,000 1 15 3 = 3,150,000 ( ) 2,500,000 1 4 = 10,000,000 < > 3,000 100 = 300,000 10,000 5 10 = 500,000 5,000 10 10 = 500,000 < > 2,450-224 -
2,000 100 = 200,000-5,000 10 = 50,000 <KICCE > 2,000 250 = 500,000 20,000 20= 400,000 < > (8,180+101 95) 200 1.1 = 3,911,000 29,736 10 = 297,360 50 1000apge 5 = 250,000 3. < > (8,180+101 95) 200 1.1 = 3,911,000 15,900 10 = 159,000 13,288 <KICCE > (8,180+101 95) 1.1 200p = 3,911,000 84,900 10 = 849,000 < > (SAS) 6,000,000 1 = 6,000,000 ( ) 550,000 1 = 550,000 PC 70,000 1 7 = 490,000 70,000 1 3 = 210,000 4. < > ( ) 500,000 2 = 1,000,000 13,540 <KICCE > (SAS) 4,500,000 1copy = 4,500,000 PC 70,000 1 3 = 210,000 70,000 1 4 = 280,000 ( ) - 225 -
5. 300,000 1 = 300,000 < > - 100,000 3 5 = 1,500,000-20,000 3 5 = 300,000 (, 56) - - 3,108,350 2() = 6,216,700 - ( 2, 2 ) - ($30*6 + $137*5 + $59*6) 1,130 2 = 2,754,940 - < > - 100,000 2 1 = 200,000 - ( ) 100,000 2 3 = 600,000-20,000 3 5 = 300,000 <KICCE > - ( ) 100,000 3 2 = 600,000-20,000 3 5 = 300,000 100,000 2 3 = 600,000 < > ( ) 100,000 2 = 200,000 50,000 4 2 = 400,000 6,000 2 5 7 = 420,000 300,000 2 = 600,000 13,372 6. < > ( ) 50,000 2 = 100,000 50,000 2 2 = 200,000 300,000 2 = 600,000 6,000 4 5 4 = 480,000 <KICCE > 4,600-226 -
100,000 2 1 = 200,000 ( ) 100,000 5 1 = 500,000 6,000 5 10 = 300,000 300,000 2 = 600,000 < > 150,000 4 5 = 3,000,000 : 200,000 2 = 400,000 : 300,000 3 = 900,000 100,000 5 = 500,000 500,000 2 = 1,000,000-100,000 10 = 1,000,000 7. < > 100,000 5 4 = 2,000,000 : 200,000 2 = 400,000 : 300,000 3 = 900,000 100,000 4 5= 2,000,000 16,900 8. <KICCE > 100,000 3 5 = 1,500,000 : 200,000 2 = 400,000 : 300,000 3 = 900,000 100,000 5 4 = 2,000,000 < > 25,000 7 10 = 1,750,000 25,000 10 5 = 1,250,000 25,000 4 10 = 1,000,000 < > 25,000 8 5 = 1,000,000 9,000-227 -
25,000 4 10 = 1,000,000 9. <KICCE > 25,000 8 10 = 2,000,000 25,000 4 10 = 1,000,000 < > ( ) - ( ) 10,000,000 1(1) = 10,000,000 - () 80,000 1,600 = 128,000,000 ( 2,700 ) - ( ) 3,400,000 1 = 3,400,000 < > ( ) 1,000,000 1 = 1,000,000 <KICCE > - 50,000 25 6 6 = 45,000,000 187,400 ( ) () ( ) () ( ) 1( ) ( ) (A-1) (A-1) ( ) (A-2) - 228 -
() (A-3),,,, (,,, ). - 229 -
(5)-1..,. 2013,. (, 2016).,,.,. 2017 5, 5. KICCE., 2017 5.,., - 230 -
,.,,.,.,,. ( ),,.,,.. -,, -,. -: -(): (2016) -: - - - (1,202), - - - 231 -
, -. -: -(): (2016) -: -: (1991, 1996, 2001) -(): (1991, 1996, 2001) -:,. - - 62 6-27,000 -: - - Simulation -(): (2011) -: 2005 (rotation sample). -: Survey of Income and Program Participation(SIPP) -(): (Census Bureau)(2004, 2008, 2014) -:,,. - 4 -, - - - - - - - - - - -(Rotation model) -(Rotation Sampling) - -. -,,,. -. -, - - ( ) - - - - - - - - - - 232 -
A-1.,. A-1.. - A-1.. -,,.,. -,. -,. A-1.. - 1 2-3 ( ) 4 5 6-7 8 9-10 11 12,, - 233 -
, A-1.,. (Rotation). - (:6). -,. -,,. 1,600( 2,400 ), -., A-1., -,. - 234 -
,.,,, ( ),,.. 2018 1 2 3 4 5 6 7 8 9 10 11 12-235 -
I. I6. () (Consumption (Rotation Panel (Demand for (Childcare Cost) Survey) Survey) ECEC services) 3 1 3 2 3 2 3 5 42 48 49 71 () 200,000 1. 70,000 1 14 5 = 4,900,000 ( ) 2,500,000 1 7 = 17,500,000 22,400 2. 1,300-236 -
3. 4. 5. 6. 7. 8. 3,000 100 = 300,000 10,000 5 10 = 500,000 5,000 10 10 = 500,000 (8,180+101 95) 200 1.1 = 3,911,000 29,736 10 = 297,360 50 1000apge 5 = 250,000 (SAS) 6,000,000 1 = 6,000,000 ( ) 550,000 1 = 550,000 PC 70,000 1 7 = 490,000 70,000 1 3 = 210,000-100,000 3 5 = 1,500,000-20,000 3 5 = 300,000 (, 56) - - 3,108,350 2() = 6,216,700 - ( 2, 2 ) - ($30*6 + $137*5 + $59*6) 1,130 2 = 2,754,940 ( ) 100,000 2 = 200,000 50,000 4 2 = 400,000 6,000 2 5 7 = 420,000 300,000 2 = 600,000 150,000 4 5 = 3,000,000 : 200,000 2 = 400,000 : 300,000 3 = 900,000 100,000 5 = 500,000 500,000 2 = 1,000,000-100,000 10 = 1,000,000 25,000 7 10 = 1,750,000 4,458 7,250 10,772 1,620 6,800 4,000-237 -
9. 25,000 10 5 = 1,250,000 25,000 4 10 = 1,000,000 ( ) - ( ) 10,000,000 1(1) = 10,000,000 - () 80,000 1,600 = 128,000,000 ( 2,700 ) - ( ) 3,400,000 1 = 3,400,000 ( ) 141,400 ( ) ( ) - 238 -
(5)-2. 2012 0-2 5, 2013 3,4 0-5. 2012, 2 15 2, 2011 2 20 2 5 (, 2016). 2012, 2013,, (, 2016). 2016 1 16 9,, 0 8 4, 1 4 5, 2 11 5, 3 23 6 4 25 4, 5 27 5 (, 2016)..,.,. 2018 2022 5, - 239 -
.,., (, ).,,..,,. -: (V) -(): (2016) -: -: -2 : (2012, 2013 -: 1,312( 1,820) (: ) - 16 9., - 6 5, 19 4( 23 6, 4 8 ) - 11 8. -, 563. 0-240 -
-: 2015 - -(): (2016) -:. -: : 2004-2014 -(): (2014) -: 2004 10,,,. -: -(): (2015) -: 0-5 - 2018 2022 - - -: 2,593( 3,650) -:,,,, - : 2004, 2009, 2012,, -: 250, 1000,. - - : - - - - : - - - 234, 5.4%. - 1 195, 6 4,114. - 45.6%, 21.4%. - 96,400 2.7% - 35.2%, 23.5%. - : 1 2004 157,600, 2009 189,500, 2012 208,700 ( ) - - ( ) - : 2014 2024 2.3% - :. - :,.,, 5. -, -, - - 241 -
- -,,, 5. 5 A..,,. -,,,. -,. -,. - 1 (2018) -,,,,, - 242 -
,. -,,, (,,,, ), ( ), (, ). -,,,,. -. 2 (2019) 1 2019., 3 (2020),,. 4 (2021) - 243 -
5 (2022), 4 OECD (A-1 ),.,., 2018 1 2 3 4 5 6 7 8 9 10 11 12-244 -
I I6 () (Infant Education and Child-care Service Cost) (Demand for Infant-care) - 245 -
3 2 3 4 3 5 2 1 49 65 71 18, () 20,000 1. 2. 3. 4. 5. 6. 7. 70,000 1 5 4 = 1,400,000 ( ) 2,500,000 1 1 = 2,500,000 2,000 100 = 200,000-5,000 10 = 50,000 (8,180+101 95) 200 1.1 = 3,911,000 15,900 10 = 159,000 ( ) 500,000 2 = 1,000,000-100,000 2 1 = 200,000 - ( ) 100,000 2 3 = 600,000-20,000 3 5 = 300,000 ( ) 50,000 2 = 100,000 50,000 2 2 = 200,000 300,000 2 = 600,000 6,000 4 5 4 = 480,000 100,000 5 4 = 2,000,000 3,900 250 4,070 1,000 1,100 1,380 5,300-246 -
8. 9. : 200,000 2 = 400,000 : 300,000 3 = 900,000 100,000 4 5= 2,000,000 25,000 8 5 = 1,000,000 25,000 4 10 = 1,000,000 ( ) 1,000,000 1 = 1,000,000 2,000 1,000 1. ( ) - 247 -
(5)-3. KICCE 2017 3 2.2%, 9.8%, 3.1%, 2.8%. 2016 107 2 31.0%, 90% (, 2016). 2012,. 2012 (,, ),.., 1, 2..,. - 248 -
. -: - - -(): - (2012) -:,. -: KICCE -(): (2013) -:, 3 -: KICCE (II) -(): (2014) -: 2,. -: KICCE (Ⅲ) -(): (2015) -:,,. - - 2 - - (1997~2013 ) - 2-1, 2-1 - - (1997~2014 ) - 3-1, 2, 3 - - - -. -,.. -. -2014 - -2013-2014 -, -,, -: KICCE - -2016 2-249 -
(Ⅳ) - -(): - (2016) - -: - - -/., 2016 KICCE. 2013-2016 () 3 - - - - - - - - - - -/. --2013-2018 ( ) - - (2018-2022) 2013 KICCE., (2018-2022) 1 (2018) - 250 -
, (1) 6 2 (2019) 2013 3 (2020) 4 (2021) VAR(Vector AutoRegression) / 5 (2022) 2013-2022 2013-2017 2018 2018 (,,,, ) - 251 -
/ 6 2018.,, 2 2018 1 2 3 4 5 6 7 8 9 10 11 12-252 -
I I6 () (Childrearing Price Index) (Parents Perception of Childrearing Costs) (,, ), 3 2 2 1 2 80,000 () 48 18, 26 13,150 900 4,760-253 -
PC 70,000 1 3 = 210,000 70,000 1 4 = 280,000 ( ) 300,000 1 = 300,000 - ( ) 100,000 3 2 = 600,000 5. - 20,000 3 5 = 300,000 100,000 2 3 = 600,000 100,000 2 1 = 200,000 ( ) 100,000 5 1 = 500,000 6. 6,000 5 10 = 300,000 100,000 3 5 = 1,500,000 7. : 200,000 2 = 400,000 : 300,000 3 = 900,000 25,000 8 10 = 2,000,000 8. 25,000 4 10 = 1,000,000 9. - 50,000 25 6 6 = 45,000,000 5,290 1,500 1,600 4,800 3,000 45,000 ( ) () () ( ) - 254 -
(),,,, (,,, ). - 255 -
(6),, - 256 -
(2014). -:,, - - - (2015). - - - -:, (2016). - - - -: - -,, -, - - - - -,,, - - - 257 -
- - - - - -. -, - -, (,,,,,,,, ), - -,,, (customized), (visiting) 1:, 2:,, 3:, 4:, - 258 -
30,, ( 1 ) ( ) 20 40 ( 2 ) 30 10 20 ( ) 30/ 60/,, 2018 1 2 3 4 5 6 7 8 9 10 11 12-259 -
I I6 () (parent education) (parenting) (family diversity) (dual-earner couples) (customized home visiting service) - 260 -
() 60,000 70,000 1 13 5 = 4,550,000 70,000 1 14 9 = 8,820,000 ( ) 2,500,000 1 1 = 2,500,000 2,000 200 = 400,000 20,000 36 = 720,000 10,000 10 = 100,000 (8,180+101 95) 200 1.1 = 3,910,500 50 300page 10 = 150,000 118,750 10 = 1,187,500 PC 70,000 1 5 = 350,000 70,000 1 9 = 630,000 70,000 1 1 = 70,000 - ( ) 100,000 3 10 = 3,000,000-20,000 3 18 = 1,080,000 50,000 10 = 500,000 15,870 1,220 5,248 1,050 4,080 2,232-261 -
50,000 2 4 = 400,000 6,000 3 8 3 = 432,000 300,000 3 = 900,000 100,000 4 10 = 4,000,000 200,000 2 = 400,000 300,000 3 = 900,000 IRB 200,000 1 = 200,000 (1 ) 70,000 40 = 2,800,000 (2 ) 70,000 20 = 1,400,000 25,000 8 5 = 1,000,000 10,000 100 1 = 1,000,000 6 = 600,000 300,000 2 30 = 18,000,000 9,700 2,600 18,000 ( ) () () ( ) - 262 -
(7) : KICCE 2011 5 2012, 2013 3~4 3~5. 2012 5 (, 2012). 2013 3~5 3~5 (, 2013). 2013, 2014 (, 2013;, 2014). 2013,,. 2014 5,.,,. 5 (, 2014). - 263 -
., (; ),. 3~5,. 3~5. 2017 2013 3~5. 3-5,,. 2017 3-5, 2018,,. - 264 -
-: 5 -(): (2014) - 5 -: 5 : -(): (2012) - 5 -: 3~4 -(): (2013) - 3~5 3~4 -: 5 -(): (2013) -, -: 3-5 -(): (2014) - - -5-5 - - - - - - - - - - - -(/) - - - - -5-5 -5-5 -5-5 -5-3~4-3~4-3~4-3~4-5 -5 - -3-5 3~5 5-265 -
- 3-5 3, 4, 5. - 3~5 3-5,,,. 3,4,5 -,,, -3-5 - -,, -5 -,, - 3~5 3~5-3~5-3~5-3~5-3~5 (1) 2018 3~5 3~5 (1) - 2(, ) - 5,, -,,,, 5-5 (1) - 266 -
- 3~5 (2019) 3~5, (, ), 2020 (2020 ~),, - 3~5, 3~5 3~5 3~5, 3~5 3~5 3~5 3~5-267 -
3~5 3~5 3~5 -,, 3~5 (2019) 3~5 3~5,, 년도 2018년 2019년 2020년 2021년 2022년 예산 1억 3억 1억5천 1억5천 1억5천 3~5 전산자료관리및분석 2018 3~5 3~5,,,. - 268 -
5 2018 1 2 3 4 5 6 7 8 9 10 11 12 I. M. I6 M2 (early ( Nuri () (child care) childhood (observation) web-based Curriculum ) education) - 269 -
() 100,000 1. 2. 3. 4. 5. 7,000 1 18 10 = 12,600,000 ( ) 2,500,000 1 8 = 20,000,000 3,000 200 = 600,000 10,000 1 40 = 400,000 (8,180+101 95) 1.1 150 = 2,933,000 65,700 10 = 657,000 5,000,000 1 = 5,000,000 5,000,000 1 = 5,000,000 10,000,000 1 = 10,000,000 300,000 2 = 600,000 100,000 3 2 = 600,000-100,000 3 4 = 1,200,000-32,600 1,000 3,590 20,600 2,400-270 -
20,000 3 10 = 600,000 100,000 6 = 600,000 50,000 3 3 = 450,000 6. 300,000 2 = 600,000 6,000 3 5 4 = 360,000-100,000 10 7 = 7,000,000 IRB - 200,000 2 1 = 400,000 7. - 1,000,000 6 = 6,000,000-100,000 10 2 = 2,000,000() - 80,000 10 2 = 1,600,000(), 25,000 30 12 = 9,000,000 8. 25,000 5 4 = 500,000 9. 10,000,000 1 = 10,000,000 2,010 18,300 9,500 10,000 ( ) - 271 -
- 272 -
(1) UN 2030 15 (Sustainable Development Goals: SDGs). SDGs 15 (Millenium Development Goals: MDGs),,, (, 2016). SDGs 2016 2020 5 2 (, 2015 11). 2 SDGs., 24, (Country Partnership Strategies: CPS) (, 2016).,. SDGs (SDG 4) (target 4.2).. - 275 -
,.,. (ECCE). UN (lowest-income level country),. UNESCO,, 6, 11 15 ECCE Teacher Competency Framework. 2,, 3.,.,,,.., ROSA EAPRO, ARNEC (Asia Regional Network of Early Childhood), KDI, (2013. 9), 31 22 220. - 276 -
2 (2016 7, ) 37 SDG Target 4.2.,,. 1), 2) (), 3). SDG 4.2. 3, 1 : 2 : 3 : -: -(): (2007, 2008, 2009) -: 3 -: (I): - -,, - -,,,, -, -, - 277 -
(): (2010) - SWAT -:. 3 (2010-2012) - -,, - - - - - (2) - - - - - - - 1 : ( ),,,,,,,,, - - - 278 -
EFA Global Monitoring Report - UNESCO, OECD, UNICEF, ARNEC, World Bank, -,, ( 3) - UNICEF, ARNEC, World Bank, Plan, -, KOICA(), EWB( ),,, (UNESCO Bangkok Asia-Pacific Regional Bureau for Education) ARNEC(Asia Regional Network of Early Childhood) MOU (2013. 8), 2013 ARNEC. - - - ARNEC, 1 (+ARNEC 1), 1 2 - (3 ) - - ( 1, 23): 3,, ARNEC - -, 2 pool - - 279 -
- ( ) - (Country background report) -, - ( ) - (ARNEC ) - ARNEC - 1 pool - () - -, - ( ) - ( ) ( ) - 3 - - - ( ) (ARNEC ) - ( ) - - ( ) 1) 2) - 60 ( 20) - 280 -
- 30 (, 10 ) - :,,,,, - : : -, KOICA, EWB,,,, -,,,,, / (2) :, ARNEC ( 1 ) - ():, - ():, : 3,, ARNEC : 15, 23 ( ) ( 1) : : 2018 10, :, : 3, ARNEC, (, - 281 -
, ), --- --- --- --- 2018 1 2 3 4 5 6 7 8 9 10 11 12 --- --- --- --- --- --- --- --- --- --- --- --- --- I, M I. 16. M. 2. () (Development Assistance) (Asia-Pacific Region) (Early Childhood Education and Care) (Needs Assessment) (Action Plan) - 282 -
( SDG 4.2 ),, ( SDG 4.2 ),, (, ) (0~5) () ( ) 2,500,000 1 1 = 2,500,000 ( ) - 283 -
420,000 2 = 840,000-284 -
( ) ( ) - 285 -
- 286 -
(2) Ⅲ.,,,, (, 2016, 13).,. 2006 2017 2, 3 2017 10.,,,..,,., CARE.,,, - 287 -
(, 2016).,, (, 2016). (2016, 2017) CARE. CARE. CARE (Common Value), (Ability), (Resource), (Empowering) 4 (, 2016). 2016 2020 < 1>. - 288 -
3 2017 10 2., 1 2., (), (), ( ).. - 289 -
-: - - -(): (2016) - -:, 2015 (, 2015) - - - - 3 2017 10 2. - - -CARE 3 -CARE, - - - 290 -
1 (2016): 3 CARE consulting 90. 3. 2 (2017): 2016, 2017 10. - 2017. CARE consulting, 3 90. 3 (2018): CARE consulting,. 100 CARE consulting. CARE consulting. 3 2017 10-291 -
. CARE 3 2017 CARE 3. CARE. CARE. CARE 1 2. CARE 3. CARE, 2.. CARE 3., - 292 -
1 2,, 2016 2017,.,.,,. 2,.. 100 CARE. 100., - 293 -
. 2018 1 2 3 4 5 6 7 8 9 10 11 12 I () I 6( ) (child care center quality monitering ) (evaluation-based consulting) - 294 -
: : () 1. 2. 3. 4. 5. 6. 70,000 1 15 10 = 10,500,000 ( ) 2,500,000 1 12 =30,000,000 (2018) 6,500,000=6,500,000 2,000 200 = 400,000 20,000 30 = 600,000 (, ) (8,180+101 95) 1.1 200 = 3,911,000 242,900 10 = 2,429,000 ( ) 700,000 1 = 700,000 PC 70,000 1 10 = 700,000 70,000 1 12 = 840,000-100,000 4 5 = 2,000,000-20,000 5 10 = 1,000,000 100,000 5 6 = 3,000,000 100,000 2 = 200,000 50,000 3 2 = 300,000 47,000 1,000 6,340 2,240 6,000 1,220-295 -
7. 8. 9. 6,000 4 5 6 = 720,000 100,000 5 6 = 3,000,000 IRB 200,000 2 1 = 400,000 200,000 4 = 800,000 200,000 2 = 400,000 300,000 3 = 900,000-150,000 4 5 = 3,000,000-150,000 1 40 = 6,000,000 25,000 10 8 = 2,000,000 ( ) 25,000 15 8 = 3,000,000 25,000 4 12 = 1,200,000 () - 9,000,000 = 9,000,000 - () 1,000,000 1 =1,000,000 3-20,000,000 3 = 60,000,000 - ( 3) 1,500,000 3 =4,500,000 1,000,000 1 1 = 1,000,000 14,500 6,200 75,500 ( ) () () - 296 -
30,,, (3) - 297 -
- 298 -
(1) 2018 (Ⅱ). (Ⅱ) 2008 2,150, 1,685 20 2027.,,,, (),., 1,770 90%, 70%. OECD Start Strong Ⅲ,,. (Ⅱ). 1,093, 18, 129, 335., KDI,. - 301 -
2018 ( 4),., 3,,,. (:, )..,., 10-302 -
1~8, (2017 10 13 ). 1,093, 18, 335. 4 4, 143. KDI,,. 90%, 70%.. 1 5.54 7 1, 2 30., 47.6%, 35.3%. - 303 -
2006 2008 (). 0~ 3 7~9 11~12 13-15 16-18 19 2 ~6 (1~3) (4~6) ( 1~3) ( 1~3) ( 1) 2008 1 2009 2 1 2010 3 2011 4 2012 5 2013 6 2 2014 7 2015 8 2016 9 3 2017 10 2018 11 2019 12 2020 13 4 2021 14 2022 15 2023 16 2024 17 5 2025 18 2026 19 2027 20 6 2018 (Ⅱ) 11. 11 10, 2017 4. 2017, 12. 11. - 304 -
, TAPI PAPI TAPI - (,,,, ) - (,, ) - (,, ) - (,, ) - (,, ) - (, ) - (, ) - (,, ) - (,, ) - (, ) - (Big 5) CAWI - (, ) - (, ) - (, /, ) 10 1~10. 2017 10 3. 2008 2017 10. 9,. 9,.,.,,,. - 305 -
,.,. 11,, 11. 9,,.. 1. 2. 11 3. 9, 2018 1 2 3 4 5 6 7 8 9 10 11 12-306 -
, 9 2018 1 2 3 4 5 6 7 8 9 10 11 12 Ⅰ Ⅰ6 () (panel study) (longitudinal (human (children) (child-rearing) study) development), - 307 -
() 1. 2. 3. 4. 5. 6. 70,000 1 13 5 = 4,550,000 ( ) 2,500,000 4 10 = 100,000,000 2,000 100 = 200,000 / 20,000 10 = 200,000 1,500 200 = 300,000 (, ) (8,180+101 95) 1.1 200 = 3,911,000-10,000 20 = 200,000-400page 25 200 = 2,000,000 -, (500 300) + (100,000 1)= 250,000-2,200,000 1 = 2,200,000 18,900 10 = 189,000 ( ) - 2,500,000 1 = 2,500,000-1,280,000 1 = 1,280,000-20,000 6 4 1 = 480,000 - (,,, ) 100,000 6 4 1 = 2,400,000-1,000,000 2 = 2,000,000-2,000,000 2 = 4,000,000 ( ) 100,000 4 1 = 400,000 ( ) 104,550 700 8,750 3,780 8,880 3,940-308 -
7. 8. 9. 2,000 1 1,770 = 3,540,000 150,000 4 5 = 3,000,000 / 100,000 9 1 = 900,000 -,, 150,000 20 1 = 3,000,000-1,300,000 2 = 2,600,000 : 200,000 2 = 400,000 : 300,000 3 = 900,000 400,000 1 5 = 2,000,000 200,000 2 = 400,000 25,000 10 5 = 1,250,000 (, ) 15,000 280 = 4,200,000 25,000 4 3 = 300,000 25,000 30 3 = 2,250,000 () - ( ) (TAPI 4) 280,000,000 1 = 280,000,000 - () 45,000,000 1 = 45,000,000-28,200,000 1 = 28,200,000 7,000,000 1 = 7,000,000 13,200 8,000 360,200 ( ) ( ) - 309 -
- 310 -
ㆍ EGGP01 EGGP02 ㆍ EGGP03 365... EGGP06 1. 2. DB 3. 4. MIS 5. 6. DB 7. (NAS, SAN) 8. 9. NAS (, ) 10. SAN (, MIS DB ) 11., DB 12. AD - 315 -
EGGP06 13. USB 14. 15. VMware - - 1. USB 2. 3. 4. NAC 5. 6. DDOS 7. ( ) 1. 1. (2005 ) 1 2. (2005, 2007) 2 EGGP10 EGGP12 (11/) 2018. 1. 1. 2018.12.31-316 -
() EGGP13 110,000-1,100,000 12=13,200,000 - V3 PC 80, PC 80, PMS 80, 3, 1, 80 12,000,000 1=12,000,000-2,400,000 1=2,400,000-5,000,000 2=10,000,000-300,000 12=3,600,000-700,000 12=8,400,000 - NAC 300,000 12=3,600,000 - USB 300,000 12=3,600,000-200,000 12=2,400,000-600,000 1=600,000-200,000 12=2,400,000 - NAS 500,000 12=6,000,000 - SAN 500,000 12=6,000,000-18 600,000 12=7,200,000 - PC 41,200 68,800-317 -
() EGGP13 300,000 12=3,600,000-300,000 1=3,600,000 - VMware 10,000,000 1=10,000,000 - (WAC) 11,400,000 1=11,400,000 ( ) ESP09-318 -
EGGP01 EGGP02 ㆍ, EGGP03. EGGP06 - - EGGP10-319 -
EGGP10 EGGP12 (3/) 2018. 1. 1. 2018.12.31 () EGGP13 50,000 () 4,000,000 1 = 4,000,000 3,700,000 5 = 18,500,000 250,000 1 = 250,000 250,000 1 = 250,000 31,000 19,000-320 -
- 322 -
(1) EFP02 EFP03 ( ),. 2017 : 2558 3, 4 : : 2017. 1 ~ EFP04 EFP05 EFP07 (12/) 2018. 1. 1 2018.12.31 () EFP08 702,000 702,000,000 = 702,000,000 702,000-323 -
() EFP08-324 -
(1) EEP01 EEP02,. 양식 EEP04 -, - -, - - 3-5 - ( ) - -, EEP05. () EEP06 565,768 565,768,000 = 565,768,000 565,768-327 -
EEP07 2006. 1. 26 1 1 () ( ). 2 (). 3 ()., 500. 2 4 ( ) ( ). 3 5 ( ),. 6 ( )1. 2. 7 ( )1 100%. 2,. 3 25%. - 328 -
EEP07 4,. 5.,. 6. 7 1 4. 8 ( ),. 9 ( ). 10 ( ). 11 (). 4 12 ( ). 13 ( )1,,,. 14 () 1. 15 (),. 16 ( ). - 329 -
7,952,768 7,952,768 6,770,000 3,315,000 1,182,768 3,531,768 404,000 702,000-337 -
- 338 -
- 341 -
- 342 -
- 343 -
7,952,768 7,952,768 6,770,000 3,315,000 6,770,000 1,960,946-624,038 1,182,768 250,379 1,161,000 479,637 - - 16,768-5,000 3,531,768-1,245,000-1,010,000 140,000 95,000 1,721,000 565,768 404,000 22,300 299,000 28,110 54,590 702,000-347 -
7,952,768 6,770,000 6,770,000 2,758,000 404,000 1,245,000 1,721,000 642,000 - - - 1,182,768 1,161,000 1,161,000 16,768 16,768 5,000 5,000 - - - 351 -
7,952,768 3,315,000 1,960,946 1,831,011 1,735,971 95,040 129,935 129,215 720 624,038 586,250 586,250 37,788 37,788 250,379 227,419 31,944 81,702 70,290 2,325 41,158 22,960 2,960 6,000 7,800-6,200 479,637-355 -
445,320 217,976 100,301 79,983 5,239 23,524 18,297 34,317 16,774 8,433 5,735 376 1,687 1,312 3,531,768 1,245,000 1,010,000 140,000 95,000 1,721,000 565,768-404,000 22,300 299,000 28,110 54,590 702,000 702,000-356 -
- 358 -
인건비 - 359 -
7,952,768 Ⅰ 3,315,000 1,960,946 1,831,011 1,735,971 1,735,971,420 = 95,040 </> 750,000 1 12 = 9,000 </> 950,000 1 12 = 11,400 </> 500,000 1 12 = 6,000 </> </> </> 129,935 129,215 720 <(,)> 450,000 3 12 = 16,200 400,000 1 12 = 4,800 350,000 11 12 = 46,200 30,000 4 12 = 1,440 129,215,000 = 129,215-361 -
<(,)> 30,000 2 12 = 720 624,038 586,250 586,250 <> 37,788 37,788 <> 586,250,000 = 586,250 37,787,940 = 250,379 227,419 31,944 31,944,000 = : 2 : 4, : 2(1) : 2, : 6, : 10 81,702 81,702,000 = : 300,000() : 200,000() : 100,000() 70,290 70,290,000 = : 130,000() - 362 -
2,325 2,325,000 = 41,158 41,158,000 = 22,960 2,960 2,960,000 = 2,960 : 4, : 2(1) : 2, : 6, : 10 6,000 6,000,000 = 6,000 : 100,000() 7,800 7,800,000 = : 130,000() 6,200 479,637 445,320 217,976 6,200,000 = 6,200 217,976,000-363 -
100,301 79,983 79,983 5,239 79,982,891 23,524 18,297 34,317 16,774 16,774,000 8,433 187,407,940 5,735 187,407,940 376 5,734,683 1,687 187,407,940-364 -
1,312 187,407,940-365 -
기본연구사업
Ⅱ 3,531,768 1,245,000 1,010,000 (1) () (Ⅰ) : 78,000 13,100 <> 5,600 <( )> 7500 < > 400 700 <> 200 < 100 < 2,933 5,150 600 < > 1,617 1,310 10,408 <> < 700 210 < ( )> 400-369 -
- ( ) 400-480 4,643 4,285 <> 600 < > 300 3,132 18,800 < > 400 1,000 < ( )> 400 <> 432 < 600 < 600 < 2,000 900 < 300-370 -
600 < > 400 900 < 3,000 400 600 1,600 < 5,000 2,500 < > 450 300 2,200 250 600 600 23,200 < > 19,200 (2) 60,000 18,150 4,000 <> 70,000 1 9 5 = 3,150 <( )> - 371 -
2,500,000 1 6 = 15,000 < > 2,000 100 = 200 340 </ > 20,000 7 = 140 <(, )> (8,180+101 95) 160p 1.1 = 3,128 5,952 < > 282,400 10 = 2,824 < 350 350 <> - 100,000 3 2 = 600 3,300-100,000 3 8 = 2,400-20,000 3 1 5 = 300 <( )> 50,000 4 = 200 < > 508 50,000 2 2 = 200 <> 6,000 3 3 2 = 108 < > 150,000 6 4 = 3,600 <IRB > 7,900 200,000 2 = 400 < > - 200,000 2 = 400-372 -