MEB [1] [2] [3] MEB [4] Böhringer et al. (1997) Rut
|
|
- けんじ たつざわ
- 7 years ago
- Views:
Transcription
1 MEB <hiro.takeda@gmail.com>. GAMS 1
2 MEB [1] [2] [3] MEB [4] Böhringer et al. (1997) Rutherford et al. (2002) Rutherford and Light (2002) Armington 27 1 (AGE ) Armington 1 2
3 i I ( 1 ) ES = {COC, SLA, COK, CRU, PET, NAT, GAS, LIM} EC = {COC, SLA, CRU, PET, NAT, GAS} CL = {COK, LIM}. ELE = {ELE} ENE = EC ELE NENE = I \ ENE EN = ES ELE + COL + LIM NEN = I \ EN COL LIM 1 1: (27 ) AGR CSC LIM IAM COC MAC SLA OIP CRU CON NAT ELE OMI GAS FOO SWW TET COM PPP RES CHM TCB PET PUB OPP SER COK 2.2 3
4 輸 出 生 産 活 動 炭 素 の 排 出 中 間 財 供 給 国 内 市 場 へ の 供 給 炭 素 の 排 出 労 働 資 本 供 給 財 生 産 要 素 税 排 出 の 流 れ 輸 出 R O W 入 入 入 供 給 A r m i n g t o n 統 合 投 へ資 の 財 供 生 給 産 投 資 財 生 産 輸 輸 輸 最 終 消 費 へ の 供 給 消 費 ( 貯 投 蓄 資 ) 要 素 供 給 家 計 排 出 権 収 入 資 本 税 労 働 税 生 産 へ の 間 接 税 財 要 素 の 供 給 税 収 排 出 権 収 入 炭 素 排 出 消 費 税 政 府 支 出 へ の 供 給 投 資 財 供 給 資 労 本 働 所 所 得 得 税 税 ト ラ ン ス フ ァ ー 政 府 輸 入 関 税 1: 4
5 ( ) η 0 σ FE & σ F,i σ E 2: COC ( ), SLA ( ), CRU ( ), NAT ( ), PET ( ), GAS ( ), ELE ( ) LIM ( ) COK ( ) 2 1) COL LIM 2) 3) 4) COL LIM 5) 6) 6 4 5
6 PET CRU GAS NAT 2 CES σ CES Q F i L D i KD i [ Q F i = fi F (L D i, Ki D ) = αi FL (L D i) σ F,i 1 σ F,i + (1 α FL i )(K D i ) σ F,i ] σf,i 1 σ F,i 1 σ F,i σ F,i CES Q EE i j QE ji Q EE i = f EE i ({Q E ji}) = j ENE αji(q E E ji) σ E 1 σ EE σ EE σ EE 1 CES Q FE i (1) (2) Q FE i ] = fi FE (Q F i, Q EE i ) = [α i F (Q F i) σ FE 1 σ FE + (1 αi F )(Q EE i ) σ σ FE 1 FE σ FE 1 σ FE (3) Q FE i QNEN ji Q NC ji COL LIM QCL ji i Q i Q i = f Q i ({QNEN ji }, {Q NC ji }, {Q CL { } Q NEN = min, ji ā NEN ji j NEN ji}, {Q FE { Q NC ji ā NC ji i }) (4) } { } Q CL ji, ā CL, QFE i ji ā FE (5) i j ES ā CES j CL p F i min L,K [ p L i L + r K i K f F i (L, K) = 1 ] (6) p L i = (1 + tl i )pl rk i = (1 + tk i )rk t L i tk i 3 (1) p F i 3 p F i = [ (αi FL ) σ F,i ( p L i) 1 σ F,i + (1 αi FL ) σ F,i ( r i K ) 1 σ ] 1 F,i 1 σ F,i 6
7 p E j (j EC), pa,ele p L, r K p F i pee i } p E j p FE i (j CL) c Q i p A j 3: p EE i min {Q E j } p E jq E j fi EE ({Q E j }) = 1 (7) j ENE = (αji) E σee ( p E j) 1 σee j 1 1 σ EE (8) p E j = pe j (j EC) pe,ele = pa,ele pe j j pa,ele p FE i p FE i min {Q F,Q EE } [ p F i Q F + p EE i Q EE f FE i (Q F, Q EE ) = 1 ] = [ (α F i ) σfe (p F i) 1 σfe + (1 α F i ) σfe (p EE i ) 1 σfe] 1 1 σ FE ( ) COL LIM c Q i = j NEN p A jā NEN ji + j ES p A jā NC ji + j CL p E jā CL ji + p FE i ā FE i p A j j 4 3 Böhringer et al. (1997) Rutherford et al. (2002) Rutherford and Light (2002) (contant elaticity of tranformation, CET) 5 4 p A j Armington j 5 ( ) ( ) 7
8 D i X i Q i Q i = f O i (X i, D i ) = ] [α i X (X i ) 1+η η + (1 αi X )(D i ) 1+η η 1+η η η CET p D i px i p Q i p Q i = max X,D [px ix + p D id f O i (X, D) = 1] p Q i pd i px i ( ) (9) p Q i p Q i = [ (α X i ) η (p X i) 1+η + (1 α X i ) η (p D i) 1+η] 1 1+η t Q i ( ) (1 t Q i )pq i i (1 t Q i )pq i = cq i Shephard Shephard c Q i p FE = ā FE i i Shephard p FE i p F i = [ α F i p FE ] σfe i p F i p F i p L = i [ α FL i p L i p F ] σf,i i 3 i L D i L D i = [ α FL i p L i p F i ] σf,i [ α F i p FE ] σfe i p F ā FE i Q i i 8
9 i Ki D [ (1 α FL i )p F i K D i = r K i ] σf,i [ α F i p FE i p F i ] σfe ā FE i Q i i j EC Eji D [ ] α E Eji D ji p FE σee [ i (1 α F = i )p FE ] σfe i p E j p EE ā FE i Q i j EC i p E i pa,ele [ ] α E Eji D ji p FE σee [ i (1 α F = i )p FE ] σfe i p A j p EE ā FE i Q i, j = ELE i COK LIM ā NEN ji Q i j NEN ā CL ji Q i j CL ā NC ji Q i j ES Shephard ( ) [ ] η Xi S = pq i p X i p X Q i = Q i i Di S = pq i p D Q i = i [ α X i pq i p D i (1 α X i )pq i ] η Q i 2.3 (period utility) (lifetime utility) ( ) 9
10 σ LC σ CC σ EC σ C 4: U W CES 6 [ ] σu 1 U = U({W } ) = (W ) σ U 1 σ U σ U (9) =t α W t 4 CES 3 CES [ ] σec C ENE = C ENE ({C i } i ENE ) = (αi EC )(C i ) σ σ EC 1 EC 1 σ EC α W i ENE CES [ ] σc C NENE = C NENE ({C i } i NENE ) = (αi C )(C i ) σ C 1 σ C 1 σ C (11) i NENE CES C = NENE C(C, C ENE ) = [ α NENE (C NENE ) σcc 1 σ CC + (1 α NENE )(C ENE ) σcc 1 σ CC ] σ CC σ CC 1 C LE CES W W = W (LE, C ) = [α LE (LE ) σ LC 1 σ LC + (1 α LE )( C ] ) σ LC 1 σ LC σ LC 1 σ LC 6 " # σ X U = t σ U 1 σ W U 1 σ 1 =t CES W CES (10) (12) (13) 10
11 C i LE CES C ENE C i (10) p EC min {C i} i ENE [ i ENE p C ic i C ENE ({C i }) = 1 p C i = (1 C i )pe i, pc,ele = (1 C ELE )pa,ele C i p C i p EC p C i 7 (10) p EC p EC = [ i ENE i ) σec ( p C i) 1 σec ] 1 1 σ EC (α EC [ ] p C min p C ic i C NENE ({C i }) = 1 {C i} i NENE = [ i NENE p C i = (1 C i )pa i i NENE (α C i ) σ C ( p C i) 1 σ C ] 1 1 σ C p CC [ min p C C NENE + p EC {C NENE,C ENE C ENE C(C NENE, C ENE ) = 1 ] } = [ (α NENE ) σcc (p C ) 1 σcc + (1 α NENE ) σcc (p EC ) 1 σcc] 1 1 σ EC ] 7 11
12 p LE c W [ min p LE LE, C LE + p CC C W (LE, C ) = 1 ] = [ (α LE ) σlc (p LE ) 1 σlc + (1 α LE ) σlc ( p CC ) 1 σlc] 1 1 σ LC = (1 t I )p L ti p L p CC = (1 + t C )p CC t C p W p U min W [ = =t [ ] p W W U({W } ) = 1 =t (α W ) σ U (p W ) 1 σ U ] 1 1 σ U (preent price) R p W = R t, c W { 1 = t R t, = l=t (1 + r ) 1 > t r 1 (current price) p W p EC, p C, p CC, p W, p U p C i pec p C pec p C p CC p CC p LE p W p W p U p C i p LE p U 2 (14) U = Y H /p U (15) Y H ( ) ( ) ( ) 12
13 2: p C i (i ENE) pec p C i (i NENE) pc } p CC p LE } R c W = p W p U p W ( ) Shephard W Shephard p U p W [ α W = p U ] σu (16) p W W c W p LE = [ α LE c W p LE ] σlc (17) (16) (17) LE = [ α LE c W p LE ] σlc [ α W p U ] σu U (18) p W p W p CC = [ (1 α LE )c W p CC ] σlc (19) C D = [ (1 α LE )c W p CC ] σlc [ α W p U ] σu U (20) p W Shephard i NENE [ α Ci D C = i p C p C i ] σc [ α NENE p CC ] σcc CD p C i NENE (21) 13
14 i ENE C D i = [ α EC i p C i p EC ] σec [ (1 α NENE )p CC ] σcc CD p EC i ENE (22) ( ) L (18) ( ) L S = L LE p LE L S p LE L 8 r KE t A r KE = (1 t A )r K r KE K TRN 1 NA H r NA H K + r NA H + TRN + p LE L (23) r KE EXP 9 INV NA H +1 NA H INV + NA H +1 NA H = r KE K + r NA H + Ω (24) Ω = p LE L + TRN EXP H INV p I I ( ) INV = p I I quadratic adjutment cot J I ( )] J I = J [1 + Φ 8 p LE LS 9 EXP p W W/Rt, K (25) 14
15 J Φ ( ) J Φ = ϕ J (26) 2 K K ϕ (25) (24) p I J [1 + Ω ] + NA H +1 NA H = r KE K + r NA H + Ω (27) (27) K +t = (1 δ)k + J K J NA H 10 max U({W }) (28).t. p I J [1 + Ω ] + NA H +1 (1 + r )NA H r KE K Ω = 0 (29) K +1 = (1 δ)k + J (30) Given K t and NA H t. (31) 11 L = U({W }) (32) [ λ R t, p I J (1 + Ω ) + NA H +1 (1 + r )NA H ] (33) =t µ R t, [K +1 (1 δ)k J ] (34) =t NA H J K L NA H = 0 : λ = λ 1 = t + 1, t + 2, (35) [ ] L µ = 0 : = p I 1 + Φ + Φ J = t, t + 1, (36) J λ K L = 0 : r K + µ [ ] 2 (1 δ) + p I K λ Φ J = (1 + r ) λ 1 µ 1 = t + 1, t + 2, (37) K λ µ µ /λ hadow price p K p KA µ /λ p KA p I Φ [ J K ] 2 (38) p KA K p KA (36) (37) [ ] = p I 1 + Φ + Φ J = t, t + 1, (39) p K r K K + p K (1 δ) + p KA = (1 + r )p K 1 = t + 1, t + 2, (40) 10 W W 11 current value 15
16 (39) p I ( ) p I Φ ( ) p I Φ p I Φ J /K ( ) (39) ( + 1 ) (39) hadow price (40) ( ) 12 p K 1 (1 + r )p K 1 ( ) r KE 1 1 δ (1 δ)p K r KE + p K +1(1 δ) + p KA ( ) (40) 13 (40) > t = t K t 14 Φ (39) (40) [ p K = p I 1 + ϕ J ] = t, t + 1, (41) K r K + p K (1 δ) + p KA = (1 + r )p K 1 = t + 1, t + 2, (42) [ p I J 1 + ϕ ] J + NA H +1 NA H = r KE K + r NA H + Ω (43) 2 K p I ϕ(j ) 2 /(2K ) [ p I J 1 + ϕ J ] + NA H +1 = r KE K + p I ϕ J 2 + (1 + r )NA H + Ω (44) K 2 K 12 hadow price 13 (40) r = rke p K 1 pk p K δ + pk pk 1 1 p K 1 + pka p K 1 ( ) ( ) ( ) ( ) ( ) (40) no arbitrage condition 14 (40) 16
17 (41) p K J + NA H +1 = r KE J = K +1 (1 δ)k p KA p K K +1 + NA H +1 = [ r KE > t (42) (46) K + p I ϕ J 2 + (1 + r )NA H + Ω (45) 2 K + p K (1 δ) + p KA ] K + (1 + r )NA H + Ω (46) p K K +1 + NA H +1 = (1 + r ) [ p K 1K + NA H ] + Ω > t (47) t + 1 forward iteration p K t K t+1 + NA H [ t+1 = R t,t p K T K T +1 + NA H ] T +1 T R t, Ω (48) =t+1 t (46) p K t K t+1 + NA H t+1 = [ r KE t (48) (49) t T + p K t (1 δ) + p KA ] t Kt + (1 + r t )NA H t + Ω t (49) [ r K t + p K t (1 δ) + p KA ] t Kt +(1 + r t )NA H t (50) [ R t,t p K T K T +1 + NA H ] T T +1 + R t, Ω t = 0 (51) T no Ponzi game lim R [ t,t p K T K T +1 + NA H ] T +1 = 0 (52) T ( ) =t R t, EXP = [ rt K =t + p K t (1 δ) + p KA ] t Kt + (1 + r t )NA H t + =t R t, [ p LE L + TRN ] (53) (15) Y H Armington Armington 5 CES CES Armington A i A i = A i (D i, M i ) = [ αi AD σ A,i 1 σ (D i ) A,i + (1 αi AD )(M i ) σ A,i ] σa,i 1 σ A,i 1 σ A,i (54) 17
18 Armington σ A,i 5: Armington Armington ( 1 ) 4 Armington p A i min [ p D id + p M i M A i (D, M) = 1 ] (55) [ = (p D i) 1 σa + (1 αi AD )( p M i ) 1 σa] 1 1 σ A (56) α AD i p M i = (1 + tm i )p M i pa i Armington ( ) Di AD M i D AD i = pa i p D A i = i M i = pa i p M A i = i [ α AD p A i p D i ] σ A [ (1 α AD )p A i p M i A i (57) ] σ A A i (58) Armington I A I i Armington a I i Armington i [ ] A I I = min i (59) i p I a I i p I = i p A ia I i (60) (world price) 18
19 15 p ROW i p FX i p M i p M i = p FX p ROW i (61) p ROW i = p X i/p FX (62) 1 p ROW i = 1 (63) p M i = p FX p X i = p FX (64) i p X i pfx i 1 i p M i p FX 1 i 1 p FX ( ) TRN 15 ( ) 16 ( ) ( ) 19
20 Armington Armington i a G i ( ) p G = i p A ia G i G p G G M G M G = i t L i p L L D i + i t K i r K K D i + i t Q i pq i Q i + t I p L L S + t A r K K + t C p CC C + t M i p M i M i C i p A ici D i i NENE i ENE C i p E ic D i 3 ( ) GS GS = M G p G G TRN G (65) GBS forward iteration GBS = NA G +1 NA G = GS + r NA G (66) (1 + r t )NA G t = R t,t NA G T +1 T R t, GS (67) =t (1 + r t )NA G t = lim T R t,t NA G T +1 (68) [ ] R t, p G G + TRN = M G (69) =t =t 20
21 p E i Armington γ i i EC t CE p E i p E i = p A i + γ i t CE (70) Armington A EC i Armington A EC i A EC i = j ā CL ij Q j + C D i i CL (71) A EC i = j E D ij + C D i i EC (72) CE D = i ES γ i A EC i (73) 2.7 Armington D i Armington Di AD D i = D AD i (74) Armington Armington i Armington A i ( LIM COK) LIM COK ( LIM COK) 4 21
22 (LIM COK ) i NENE A i = C D i + j ā Q ij Q j + ā I i I + ā G i G i NENE (75) LIM COK (i CL) A i = C D i + j ā CL ij Q j + j ā NC ij Q j + ā I i I + ā G i G i CL (76) (i ELE) A i = C D i + j E ij + ā I i I + ā G i G i ELE (77) ( LIM COK) (i EC) A i = C D i + j E ij + j ā NC ij Q j + ā I i I + ā G i G i EC (78) L S = i L D i (79) r K K = i K D i (80) ( ) CAS CAS = NA F +1 NA F = TS + r ROW NA F (81) TS i pw i [X i M i ] r ROW NA F r ROW forward iteration (1 + rt ROW )NA F t = Rt,T ROW NA F T T =t R ROW t, TS (82)
23 (1 + r ROW t )NA F t = lim T RROW t,t NA F T +1 =t R ROW t, TS (83) (1 + r ROW t )NA F t = lim T RROW t,t NA F T +1 (84) (84) =t i =t R ROW X i = R ROW t, TS = 0 (85) =t i R ROW M i (86) X i X i M i M i (86) p FX (73) CE D CED CE S tce CE S = CE D (87) 3 [1] [2] [3] [4] 23
24 3.1 (σ LC ) Böhringer et al. (1997) Rutherford et al. (2002) Rutherford and Light (2002) ( 3 ) Armington GTAP verion 5 17 ( 4 5) η σ EE σ FE 3: η 4 σ FE 0.5 σ F i i 5 σ EE 0.5 σ Ai i Armington 4 σ LC ( ) σ CC 0.3 σ EC 2 σ C 1 σ U 0.5 σ LC 4: Armington (σ Ai ) AGR, FOO, TET 2.2 OMI, LIM, COC, SLA, CRU, NAT, IAM, MAC, OIP, ELE, GAS, 2.8 SWW PPP 1.8 CHM, PET, OPP, COK, CSC, CON, COM, RES, TCB, CAB, 1.9 PUB, SER 17 See < 24
25 5: (σ F i ) AGR, FOO OMI, LIM, COC, SLA, CRU, NAT 0.2 TET, PPP, CHM, PET, OPP, COK, CSC, IAM, MAC, OIP 1.26 ELE, GAS, SWW, RES, TCB, PUB, CON, SER, 1.4 COM [1] CES (α F i αx i αfl i ) [2] (σ LC ) CES Armington α AGE σ LC (ε L ) α LC AGE 19 ε L (2003) ε L = LE U (13) LE U [ ] α LE U LE σlc X = p LE (α LE ) σlc (p LE ) 1 σlc + (1 α LE ) σlc (p CC ) 1 σlc X p LE L + r KE K + rna H + TRN SAVE H ε LE ε LE ln LEU ln p LE = [ ] 1 ple LE σ LC + ple L X X 18 Rutherford (1998) Shoven and Whalley (1992, p. 115) 19 Shoven and Whalley (1992) 20 (2003) Aano (1997) 0.39 Pencavel (1986) 0.2 ε L = =
26 σ LC σ LC ε LE [ ] 1 σ LC = 1 p LE ε LE + ple L LE/X X (88) L L = L LE ε L ln L ln p LE = ε LE LE L (89) (88) (89) σ LC ε L σ LC = [ 1 1 p LE LE/X ε L ] L LE + ple L X p LE L L X ε L σ LC 3.3 ( ) Step 1: Step 2: Step 1 Step 3: GDP GDP Step 1 Step 1 3 [1] L [2] G [3] TRN p G r ROW r r r p W p W +1 = pw 1 + r (90) 26
27 1 21 W p W (α W ) (9) α W CES W p W α W r K t rt K δ r r K t K +1 = K K +1 = (1 δ)k + J J /K = δ (91) J t K t J I [ I = J 1 + ϕ ] J 2 K (91) [ I = δk 1 + ϕ ] 2 δ p I t 1 I t V I t V I t = δk [ 1 + ϕ 2 δ ] (92) r rt KE δ (42) p K t 1 = p K t (41) r KE t + p K t (1 δ) + p KA t = (1 + r t )p K t (93) p K t = p I t [1 + ϕδ] = 1 + ϕδ
28 (93) r KE t p KA t p KA t = [1 + ϕδ](r + δ) p KA t (94) = p I t (38) (91) [ ] 2 ϕ Jt = ϕ 2 K t 2 δ2 (95) rt KE K t Vt K rt KE K t = Vt K (96) (92) (94) (96) Vt K Vt I ϕ r δ rt K K t Vt K Vt I (92) (94) (96) 23 [ ] 2 [ ] 2 r r δ δ min Lo = + (97) r,δ,r KE t,k t,p KA t.t. V I t r KE t r = δk [1 + ϕδ/2] = [1 + ϕδ](r + δ) p KA t p KA t = ϕδ 2 /2 rt KE K t = Vt K r δ ( ) r = 0.03 δ = 0.07 r = δ = rt KE = K t = 1561 p KA t = δ Step 2 Step 1 L (1997) (1997) (2002) (96) 23 Böhringer et al. (1997) 28
29 6: (%) Year Rate Year Rate Year Rate Year Rate
30 3.3.3 Step 3 [1] [2] [1] [1] GDP GDP [2] [2] [1] [2] primary factor-augmented energy augmented Q FE i [ Q FE i = αi F ( β F Q F i) σ FE 1 σ FE + (1 α F i ) ( β E Q EE i ) σ FE 1 σ FE ] σfe σ FE 1 (98) β F βe primary factor energy input βf β E QFE i β F βe i primary factor energy ξ F ξ E β F = (1 + ξ F ) t β F t β E = (1 + ξ E ) t β E t (99) β F t β E t 1 β F βe ξ F ξ E ξ F ξ E ξ F ξ E G [1] ξ F GDP GDP [2] ξ E 30
31 [3] G GDP 24 [1] [2] GDP CO2 AIM/Trend model (AIM Project Team, 2002) AIM/Trend model 2032 GDP CO2 AIM/Trend model GDP CO GDP CO2 ξ F ξ E G Step 3 ( ) Lau et al. (2002) (terminal period) J T = W T (100) J T 1 W T 1 T t T 24 GDP GDP p G G/GDP pg t Gt/GDPt 25 Lau et al. (2002) 31
32 (53) T =t p W W = [ r KE t + p K t (1 δ) + p KA ] t Kt + NA H t [ R t,t p K T K T +1 + NA H ] T [ ] T +1 + p LE L + TRN =t K T +1 NA H T +1 (pot terminal period) no Ponzi game R t,t [p K T K T +1 + NA H T +1] NA H t = NA H T +1 = 0 ( ) K T +1 (100) J T T 26 T [ ] T R t, p G G + TRN = R t, M G (101) =t T p RF X i = =t i =t T =t i p RF M i (102) 4 MEB (marginal exce burden MEB) MEB (1) differential approach (2) balanced-budget approach (Ballard, 1990) (1) (1) (2) ( ) (1) differential approach [1] 1% [2] 26 (68) (1 + r t)na G t = R t,t NA G T +1 NA G t = 0 NAG T +1 (84) (1 + r ROW t )NA F t = RROW t,t NA F T +1 (1 + r ROW t )NA F t = 0 32
33 [3] EV MEB MEB = 100 EV (103) 5 7 (1995 ) ( 1999 ) [1] [2] [3] ( ) [4] ( ) [5] ( ) [6] ( ) SNA SNA KDB (Keio Economic Obervatory Data Bae) (, 1997, pp. 49)
34 7: (35 ) AGR LIM COC SLA CRU NAT OMI FOO TET PPP CHM PET OPP COK CSC IAS NFM MET GMA EMA TRE PIN OIP CON ELE GAS SWW COM FAI RES TRN CAB PUB OPS SER 34
35 ( ) 6 27 ( ) ( ) KDB KDB KDB KDB 1995 [1] KDB ( ) β i β i = i i [2] β i i + (104) = β i + (105) 1995 i 27 SNA
36 5.3.2 = + + = + + = = [1] [2] ( 1997 ) 7 21 [3] [4] {x 1,, x n} x α = x/ P i x i α x i = αx i x i 36
37 8: ( ) 13.7 ( ) 0.8 ( ) (1) (2) (1) (2) = + ( ) 29 37
38 5.4.2 = = + = + 24 ( ) 30 38
39 31 = % ( 7 ) (? ) 540 ( 1997 ) % 7.2 %
40 = 26.4% = + (= ) = + = + + = + (106) (106) = + = 40
41 = ( 1 ) ( ) CRU ( ) NAT ( ) PET ( ) OPP ( ) CRU NAT 27 PET NAT CRU CRU NAT NAT CRU CRU NAT PET OPP PET OPP PET OPP
42 5.6.5 Yi C Yi R i i A ij j j A ij = Y R i i (107) A ji = Y C i i (108) [ ] 2 Aij Āij (109) Lo = i,j Ā ij Āij ( ) (109) (107) (108) (109) A ij EID (, 2002) 3EID 399 3EID (10 13 kcal) LIM 42
43 10 ELE ( ) IAM ( ) CHM ( ) TCB ( ) CSC ( ) 10 PET GAS PET 11 COC CRU NAT PAC GSW 12 PET LPG 58% 13 ELE, IAM, CHM, CSC, TCB 9: (16 ) AGR AGR MIN OMI, LIM, COC, SLA, CRU, NAT FOO FOO TET TET PPP PPP CHM CHM PAC PET, OPP, COK CSC CSC IAM IAM MAO GMA, OIP CRE CON, RES ELE ELE GSW GAS, SWW COM COM TCB TCB SER SER, PUB 43
44 10: (10 13 kcal) COC SLA CRU NAT PET COK GAS AGR FOO TET PPP CHM CSC IAM ELE COM TCB SER MIN PAC MAO CRE GSW LIM (limetone) 11: (10 13 kcal) COC CRU NAT PET CHM 2.45 PAC GSW
45 12: (%) COC SLA CRU NAT PET COK GAS : (%) (%) AGR 1.10 FOO 0.40 TET 0.40 PPP 0.70 CHM 0.80 CSC 4.00 IAM 1.40 ELE 8.90 COM 0.20 TCB 5.60 SER 0.30 MIN 0.80 PAC 2.10 MAO 0.10 CRE 0.30 GSW
46 COK SLA COK CRU PET NAT GAS 319MtC 3EID (320MtC) CHM, CSC, IAM, ELE, TCB 7 ( 13%) CHM, CSC, IAM, ELE, TCB 14: (MtC) AGR FOO TET PPP CHM CSC IAM ELE COM TCB SER MIN PAC MAO CRE GSW EID 320MtC 3EID 3EID (1) (2) 3EID PET 2 46
47 AGR CFI CHM CRE CSC ELE FOO GSW IAS MAC MIN MPD Carbon emiion by ector (MtC) PAC PPP SER TET TRN FCON Coal Ga Petroleum Limetone 6: (MtC) 15: (%) LIM COC SLA CRU NAT PET COK GAS
48 7: 16: (%) ( /100 ) AGR FOO TET PPP CHM CSC IAM ELE COM TCB SER MIN PAC MAO CRE GSW
49 5.8.3 (1) (2) (3) (4) (5) (6) (7) 7 (1) (5) 5 17 V K i i ( ) T K i i τ K i = T K i V K i i V L i i ( ) T L i τ L i = T L i V L i 18 3 ( ) 18 ( ) % (1997) [1] [2]
50 17: (10 ) (%) (10 ) (%) AGR OMI LIM SLA NAT FOO TET PPP CHM PET OPP COK CSC IAM MAC OIP CON ELE GAS SWW COM RES TCB PUB SER
51 18: (%) ( ) : (%) (1 )
52 AIM Project Team (2002) AIM/Trend Model. (available at: Aano, Seki (1997) Joint Allocation of Leiure and Conumption Commoditie: A Japanee Extended Conumer Demand Sytem , Japanee Economic Review, Vol. 48, pp Ballard, Charle L. (1990) Marginal Welfare Cot Calculation: Differential Analyi v. Balanced Budget Analyi, Journal of Public Economic, Vol. 41, No. 2, pp Böhringer, Chritoph, Andrea Pahlke, and Thoma F. Rutherford (1997) Environmental Tax Reform and the Propect for a Double Dividend, Jan. Mimeo, (available at: Lau, Morten I., Andrea Pahlke, and Thoma F. Rutherford (2002) Approximating Infinite-Horizon Model in a Complementarity Format: A Primer in Dynamic General Equilibrium Analyi, Journal of Economic Dynamic and Control, Vol. 26, pp Pencavel, John (1986) Labor Supply of Men: A Survey, in O. Ahenfelter and P. R. G. Layard ed. Handbook of Labor Economic, Vol. 1, Amterdam: North-Holland, Chap. 1. Rutherford, Thoma F. and Mile K. Light (2002) A General Equilibrium Model for Tax Policy Analyi in Colombia: The MEGATAX Model. ARCHIVOS DE ECONOMÍA, Documento 188. Rutherford, Thoma F., Mile K. Light, and Gutavo Hernández (2002) A Dynamic General Equilibrium Model for Tax Policy Analyi in Colombia. ARCHIVOS DE ECONOMÍA, Documento 189. Rutherford, Thoma F. (1998) CES Preference and Technology: A Practical Introduction. in Economic Equilibrium Modeling with GAMS: An Introduction to GAMS/MCP and GAMS/MPSGE (GAMS/MPSGE Solver Manual), pp , (available at: Shoven, John B. and John Whalley (1992) Applying General Equilibrium, New York: Cambridge Univerity Pre. Varian, Hal R. (1992) Microeconomic Analyi, New York: W. W. Norton & Company, 3rd edition. (1997) 540 (1997) KEO Keio Economic Obervatory Monograph Serie 8 (1997) 7 (2002) ( 14 1 ) (1999) 7 (1995 ) 52
53 (2002) (3EID) LCA (CGER: Center for Global Environmental Reearch) (2003) (1997)
(2004 ) 2 (A) (B) (C) 3 (1987) (1988) Shimono and Tachibanaki(1985) (2008) , % 2 (1999) (2005) 3 (2005) (2006) (2008)
,, 23 4 30 (i) (ii) (i) (ii) Negishi (1960) 2010 (2010) ( ) ( ) (2010) E-mail:fujii@econ.kobe-u.ac.jp E-mail:082e527e@stu.kobe-u.ac.jp E-mail:iritani@econ.kobe-u.ac.jp 1 1 16 (2004 ) 2 (A) (B) (C) 3 (1987)
More information0.,,., m Euclid m m. 2.., M., M R 2 ψ. ψ,, R 2 M.,, (x 1 (),, x m ()) R m. 2 M, R f. M (x 1,, x m ), f (x 1,, x m ) f(x 1,, x m ). f ( ). x i : M R.,,
2012 10 13 1,,,.,,.,.,,. 2?.,,. 1,, 1. (θ, φ), θ, φ (0, π),, (0, 2π). 1 0.,,., m Euclid m m. 2.., M., M R 2 ψ. ψ,, R 2 M.,, (x 1 (),, x m ()) R m. 2 M, R f. M (x 1,, x m ), f (x 1,, x m ) f(x 1,, x m ).
More informationAuerbach and Kotlikoff(1987) (1987) (1988) 4 (2004) 5 Diamond(1965) Auerbach and Kotlikoff(1987) 1 ( ) ,
,, 2010 8 24 2010 9 14 A B C A (B Negishi(1960) (C) ( 22 3 27 ) E-mail:fujii@econ.kobe-u.ac.jp E-mail:082e527e@stu.kobe-u.ac.jp E-mail:iritani@econ.kobe-u.ac.jp 1 1 1 2 3 Auerbach and Kotlikoff(1987) (1987)
More informationp *2 DSGEDynamic Stochastic General Equilibrium New Keynesian *2 2
2013 1 nabe@ier.hit-u.ac.jp 2013 4 11 Jorgenson Tobin q : Hayashi s Theorem : Jordan : 1 investment 1 2 3 4 5 6 7 8 *1 *1 93SNA 1 p.180 1936 100 1970 *2 DSGEDynamic Stochastic General Equilibrium New Keynesian
More informationISTC 3
B- I n t e r n a t i o n a l S t a n d a r s f o r Tu b e r c u l o s i s C a r (ÏS r c ) E d is i k e - 3 ) a =1 / < ' 3 I n t e r n a t i o n a l s t a n d a r d s f o r T B C a r e e «l i s i k e 3
More information1 1 ( ) ( 1.1 1.1.1 60% mm 100 100 60 60% 1.1.2 A B A B A 1
1 21 10 5 1 E-mail: qliu@res.otaru-uc.ac.jp 1 1 ( ) ( 1.1 1.1.1 60% mm 100 100 60 60% 1.1.2 A B A B A 1 B 1.1.3 boy W ID 1 2 3 DI DII DIII OL OL 1.1.4 2 1.1.5 1.1.6 1.1.7 1.1.8 1.2 1.2.1 1. 2. 3 1.2.2
More information(1987) (1990) (1991) (1996) (1998) (1999) (2000) (2001) (2002) 3 ( ) ( ) hkyo
(987) (990) (99) (996) (998) (999) (2000) (200) (2002) 3 ( ) ( ) kiaurayohiaki@rv.econ.oaka-u.ac.jp KimuraShin@rv.econ.oaka-u.ac.jp hkyoji@ipcku.kanai-u.ac.jp 2 3 4 5 2 2. j 2 N 23 59 60 80 37 37 38 58
More informationSolution Report
CGE 3 GAMS * Date: 2018/07/24, Version 1.1 1 2 2 GAMSIDE 3 2.1 GAMS................................. 3 2.2 GAMSIDE................................ 3 2.3 GAMSIDE............................. 7 3 GAMS 11
More information136 pp p µl µl µl
135 2006 PCB C 12 H 10-n Cl n n 1 10 CAS No. 42 PCB: 53469-21-9, 54 PCB: 11097-69-1 0.01 mg/m 3 PCB PCB 25 µg/l 136 pp p µl µl µl 137 1 γ 138 1 γ γ γ µl µl µl µl µl µl µl l µl µl µl µl µl l 139 µl µl µl
More information3 3 i
00D8102021I 2004 3 3 3 i 1 ------------------------------------------------------------------------------------------------1 2 ---------------------------------------------------------------------------------------2
More information24.15章.微分方程式
m d y dt = F m d y = mg dt V y = dy dt d y dt = d dy dt dt = dv y dt dv y dt = g dv y dt = g dt dt dv y = g dt V y ( t) = gt + C V y ( ) = V y ( ) = C = V y t ( ) = gt V y ( t) = dy dt = gt dy = g t dt
More information1 1 2 GDP 3 1 GDP 2 GDP 3 GDP GDP GDP 4 GDP GDP GDP 1 GDP 2 CPI 2
Macroeconomics/ Olivier Blanchard, 1996 1 2 1........... 2 2............. 2 2 3 3............... 3 4...... 4 5.............. 4 6 IS-LM................. 5 3 6 7. 6 8....... 7 9........... 8 10..... 8 8
More informationC. R. McKenzie 2003 3 2004 ( 38 ) 2 2004 2005 (Keio Household Panel Survey) control group treatment group 1
KEIO UNIVERSITY MARKET QUALITY RESEARCH PROJECT (A 21 st Century Center of Excellence Project) DP2005-020 * C. R. McKenzie** 2003 3 2004 ( 38 ) 2 2004 2005 (Keio Household Panel Survey) control group treatment
More informationdvipsj.4131.dvi
7 1 7 : 7.1 3.5 (b) 7 2 7.1 7.2 7.3 7 3 7.2 7.4 7 4 x M = Pw (7.3) ρ M (EI : ) M = EI ρ = w EId2 (7.4) dx 2 ( (7.3) (7.4) ) EI d2 w + Pw =0 (7.5) dx2 P/EI = α 2 (7.5) w = A sin αx + B cos αx 7.5 7.6 :
More information,..,,.,,.,.,..,,.,,..,,,. 2
A.A. (1906) (1907). 2008.7.4 1.,.,.,,.,,,.,..,,,.,,.,, R.J.,.,.,,,..,.,. 1 ,..,,.,,.,.,..,,.,,..,,,. 2 1, 2, 2., 1,,,.,, 2, n, n 2 (, n 2 0 ).,,.,, n ( 2, ), 2 n.,,,,.,,,,..,,. 3 x 1, x 2,..., x n,...,,
More informationDSGE Dynamic Stochastic General Equilibrium Model DSGE 5 2 DSGE DSGE ω 0 < ω < 1 1 DSGE Blanchard and Kahn VAR 3 MCMC 2 5 4 1 1 1.1 1. 2. 118
7 DSGE 2013 3 7 1 118 1.1............................ 118 1.2................................... 123 1.3.............................. 125 1.4..................... 127 1.5...................... 128 1.6..............
More informationJorgenson F, L : L: Inada lim F =, lim F L = k L lim F =, lim F L = 2 L F >, F L > 3 F <, F LL < 4 λ >, λf, L = F λ, λl 5 Y = Const a L a < α < CES? C
27 nabe@ier.hit-u.ac.jp 27 4 3 Jorgenson Tobin q : Hayashi s Theorem Jordan Saddle Path. GDP % GDP 2. 3. 4.. Tobin q 2 2. Jorgenson F, L : L: Inada lim F =, lim F L = k L lim F =, lim F L = 2 L F >, F
More information8.1 Fubini 8.2 Fubini 9 (0%) 10 (50%) 10.1 10.2 Carathéodory 10.3 Fubini 1 Introduction [1],, [2],, [3],, [4],, [5],, [6],, [7],, [8],, [1, 2, 3] 1980
% 100% 1 Introduction 2 (100%) 2.1 2.2 2.3 3 (100%) 3.1 3.2 σ- 4 (100%) 4.1 4.2 5 (100%) 5.1 5.2 5.3 6 (100%) 7 (40%) 8 Fubini (90%) 2006.11.20 1 8.1 Fubini 8.2 Fubini 9 (0%) 10 (50%) 10.1 10.2 Carathéodory
More information受賞講演要旨2012cs3
アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート アハ ート α β α α α α α
More informationú r(ú) t n [;t] [;t=n]; (t=n; 2t=n]; (2t=n; 3t=n];:::; ((nä 1)t=n;t] n t 1 (nä1)t=n e Är(t)=n (nä 2)t=n e Är(t)=n e Är((nÄ1)t=n)=n t e Är(t)=n e Är((n
1 1.1 ( ) ö t 1 (1 +ö) Ä1 2 (1 +ö=2) Ä2 ö=2 n (1 +ö=n) Än n t (1 +ö=n) Änt t nt n t lim (1 n!1 +ö=n)änt = n!1 lim 2 4 1 + 1 n=ö! n=ö 3 5 Äöt = î lim s!1 í 1 + 1 ì s ï Äöt =e Äöt s e eëlim s!1 (1 + 1=s)
More informationTitle 最適年金の理論 Author(s) 藤井, 隆雄 ; 林, 史明 ; 入谷, 純 ; 小黒, 一正 Citation Issue Date Type Technical Report Text Version publisher URL
Title 最適年金の理論 Author(s) 藤井, 隆雄 ; 林, 史明 ; 入谷, 純 ; 小黒, 一正 Citation Issue 2012-06 Date Type Technical Report Text Version publisher URL http://hdl.handle.net/10086/23085 Right Hitotsubashi University Repository
More information3 10 14 17 25 30 35 43 2
THE ASSOCIATION FOR REAL ESTATE SECURITIZATION 40 2009 July-August 3 10 14 17 25 30 35 43 2 ARES SPECIAL ARES July-August 2009 3 4 ARES July-August 2009 ARES SPECIAL 5 ARES July-August 2009 ARES SPECIAL
More information1 GDP Q GDP (a) (b) (c) (d) (e) (f) A (b) (e) (f) Q GDP A GDP GDP = Q 1990 GNP GDP 4095 3004 1091 GNP A Q 1995 7 A 2 2
/, 2001 1 GDP................................... 2 2.......................... 2 3.................................... 4 4........................................ 5 5.....................................
More information4
4 5 6 7 + 8 = ++ 9 + + + + ++ 10 + + 11 12 WS LC VA L WS = LC VA = LC L L VA = LC L VA L 13 i LC VA WS WS = LC = VA LC VA VA = VA α WS α = VA VA i WS = LC VA i t t+1 14 WS = α WS + WS α WS = WS WS WS =
More information467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 B =(1+R ) B +G τ C C G τ R B C = a R +a W W ρ W =(1+R ) B +(1+R +δ ) (1 ρ) L B L δ B = λ B + μ (W C λ B )
More informationii
ii iii 1 1 1.1..................................... 1 1.2................................... 3 1.3........................... 4 2 9 2.1.................................. 9 2.2...............................
More informationz.prn(Gray)
1. 90 2 1 1 2 Friedman[1983] Friedman ( ) Dockner[1992] closed-loop Theorem 2 Theorem 4 Dockner ( ) 31 40 2010 Kinoshita, Suzuki and Kaiser [2002] () 1) 2) () VAR 32 () Mueller[1986], Mueller ed. [1990]
More information第85 回日本感染症学会総会学術集会後抄録(III)
β β α α α µ µ µ µ α α α α γ αβ α γ α α γ α γ µ µ β β β β β β β β β µ β α µ µ µ β β µ µ µ µ µ µ γ γ γ γ γ γ µ α β γ β β µ µ µ µ µ β β µ β β µ α β β µ µµ β µ µ µ µ µ µ λ µ µ β µ µ µ µ µ µ µ µ
More information第86回日本感染症学会総会学術集会後抄録(II)
χ μ μ μ μ β β μ μ μ μ β μ μ μ β β β α β β β λ Ι β μ μ β Δ Δ Δ Δ Δ μ μ α φ φ φ α γ φ φ γ φ φ γ γδ φ γδ γ φ φ φ φ φ φ φ φ φ φ φ φ φ α γ γ γ α α α α α γ γ γ γ γ γ γ α γ α γ γ μ μ κ κ α α α β α
More informationK E N Z U 2012 7 16 HP M. 1 1 4 1.1 3.......................... 4 1.2................................... 4 1.2.1..................................... 4 1.2.2.................................... 5................................
More informationCO CO2 1 CO2 CO2 CO2 CO CO2 CO2 CO2 9 3CO2 CO2 a, b2 a a1 a2 a3 a4 b a 3 ELC-CO2 CO2 CO2 CO2 Vol.2 No Spring 3
CO2 CO2 CO2 LCA HAYASHI, Yoshitsugu KATO, Hirokazu UENO, Yoichi 1 CO2 2 CO2 1 3 2 1 1 8 6 4 2 4 2 % 89 1975 198 199 CO2 CO2 2 CO2 1 1989 35,7 CO2 21 26. 5 1 15 19971 19.4 115. 12.6 117.2 1,5cc1,2kg15 12km/l1,km1
More information橡同居選択における所得の影響(DP原稿).PDF
** *** * 2000 13 ** *** (1) (2) (1986) - 1 - - 2 - (1986) Ohtake (1991) (1993) (1994) (1996) (1997) (1997) Hayashi (1997) (1999) 60 Ohtake (1991) 86 (1996) 89 (1997) 92 (1999) 95 (1993) 86 89 74 79 (1986)
More informationDGE DGE 2 2 1 1990 1 1 3 (1) ( 1
早 稲 田 大 学 現 代 政 治 経 済 研 究 所 ゼロ 金 利 下 で 量 的 緩 和 政 策 は 有 効 か? -ニューケインジアンDGEモデルによる 信 用 創 造 の 罠 の 分 析 - 井 上 智 洋 品 川 俊 介 都 築 栄 司 上 浦 基 No.J1403 Working Paper Series Institute for Research in Contemporary Political
More information46 Y 5.1.1 Y Y Y 3.1 R Y Figures 5-1 5-3 3.2mm Nylon Glass Y (X > X ) X Y X Figure 5-1 X min Y Y d Figure 5-3 X =X min Y X =10 Y Y Y 5.1.2 Y Figure 5-
45 5 5.1 Y 3.2 Eq. (3) 1 R [s -1 ] ideal [s -1 ] Y [-] Y [-] ideal * [-] S [-] 3 R * ( ω S ) = ω Y = ω 3-1a ideal ideal X X R X R (X > X ) ideal * X S Eq. (3-1a) ( X X ) = Y ( X ) R > > θ ω ideal X θ =
More informationC-1 210C f f f f f f f f f f f f f f f f f f f f r f f f f f f f f f f f f f R R
4 5 ff f f f f f f f f f f f f ff ff ff r f ff ff ff ff ff ff R R 7 b b ï φφ φφ φφ φ φ φφ φφφφφφφφ φφφφ φφφφ ù û û Æ φ ñ ó ò ô ö õ φφ! b ü ú ù û ü ß μ f f f f f f f f f f b b b z x c n 9 f φ φ φ φ φ φ
More information油圧1.indd
4 2 ff f f f f f f f f f f f f ff ff ff r f ff ff ff ff ff ff R R 6 7 φφ φφ φφ φ φ φφ φφφφφφφφ φφφφ φφφφ φφ! φ f f f f f f f f f f 9 f φ φ φ φ φ φ φ φ φφ φφ φ φ φ φ SD f f f KK MM S SL VD W Y KK MM S SL
More information( ) 2003 15 5 1 2007 19 4 30 2003 15 5 1 2007 19 4 30 2001 13 5 20 2005 17 5 19 2007 19 4 2011 23 4 No 1 2 3 4 5 6 1 2 3 1 2, 3 4 5 6 7 No 1 1 1 1 1 1 No A 1 22,847 A 1 8,449 15 B 5,349,170 C 5,562,167
More information42 3 u = (37) MeV/c 2 (3.4) [1] u amu m p m n [1] m H [2] m p = (4) MeV/c 2 = (13) u m n = (4) MeV/c 2 =
3 3.1 3.1.1 kg m s J = kg m 2 s 2 MeV MeV [1] 1MeV=1 6 ev = 1.62 176 462 (63) 1 13 J (3.1) [1] 1MeV/c 2 =1.782 661 731 (7) 1 3 kg (3.2) c =1 MeV (atomic mass unit) 12 C u = 1 12 M(12 C) (3.3) 41 42 3 u
More information●70974_100_AC009160_KAPヘ<3099>ーシス自動車約款(11.10).indb
" # $ % & ' ( ) * +, -. / 0 1 2 3 4 5 6 7 8 9 : ; < = >? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y " # $ % & ' ( ) * + , -. / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B
More informationBB 報告書完成版_修正版)040415.doc
3 4 5 8 KW Q = AK α W β q = a + α k + βw q = log Q, k = log K, w = logw i P ij v ij P ij = exp( vij ), J exp( v ) k= 1 ik v i j = X β αp + γnu j j j j X j j p j j NU j j NU j (
More informationスプレッド・オプション評価公式を用いた裁定取引の可能性―電力市場のケース― 藤原 浩一,新関 三希代
403 81 1 Black and Scholes 1973 Email:kfujiwar@mail.doshisha.ac.jp 82 404 58 3 1 2 Deng, Johnson and Sogomonian 1999 Margrabe 1978 2 Deng, Johnson and Sogomonian 1999 Margrabe 1978 Black and Scholes 1973
More information基礎数学I
I & II ii ii........... 22................. 25 12............... 28.................. 28.................... 31............. 32.................. 34 3 1 9.................... 1....................... 1............
More information2001 Mg-Zn-Y LPSO(Long Period Stacking Order) Mg,,,. LPSO ( ), Mg, Zn,Y. Mg Zn, Y fcc( ) L1 2. LPSO Mg,., Mg L1 2, Zn,Y,, Y.,, Zn, Y Mg. Zn,Y., 926, 1
Mg-LPSO 2566 2016 3 2001 Mg-Zn-Y LPSO(Long Period Stacking Order) Mg,,,. LPSO ( ), Mg, Zn,Y. Mg Zn, Y fcc( ) L1 2. LPSO Mg,., Mg L1 2, Zn,Y,, Y.,, Zn, Y Mg. Zn,Y., 926, 1 1,.,,., 1 C 8, 2 A 9.., Zn,Y,.
More information地域総合研究第40巻第1号
* abstract This paper attempts to show a method to estimate joint distribution for income and age with copula function. Further, we estimate the joint distribution from National Survey of Family Income
More informationPart () () Γ Part ,
Contents a 6 6 6 6 6 6 6 7 7. 8.. 8.. 8.3. 8 Part. 9. 9.. 9.. 3. 3.. 3.. 3 4. 5 4.. 5 4.. 9 4.3. 3 Part. 6 5. () 6 5.. () 7 5.. 9 5.3. Γ 3 6. 3 6.. 3 6.. 3 6.3. 33 Part 3. 34 7. 34 7.. 34 7.. 34 8. 35
More information2019 1 5 0 3 1 4 1.1.................... 4 1.1.1......................... 4 1.1.2........................ 5 1.1.3................... 5 1.1.4........................ 6 1.1.5......................... 6 1.2..........................
More information財政赤字の経済分析:中長期的視点からの考察
1998 1999 1998 1999 10 10 1999 30 (1982, 1996) (1997) (1977) (1990) (1996) (1997) (1996) Ihori, Doi, and Kondo (1999) (1982) (1984) (1987) (1993) (1997) (1998) CAPM 1980 (time inconsistency) Persson, Persson
More informationEvaluation of a SATOYAMA Forest Using a Voluntary Labor Supply Curve Version: c 2003 Taku Terawaki, Akio Muranaka URL: http
14 9 27 2003 Evaluation of a SATOYAMA Forest Using a Voluntary Labor Supply Curve 1 1 2 Version: 15 10 1 c 2003 Taku Terawaki, Akio Muranaka URL: http://www.taku-t.com/ 1 [14] 3 [10] 3 2 Andreoni[1] Duncan[7]
More informationMicrosoft Word - 章末問題
1906 R n m 1 = =1 1 R R= 8h ICP s p s HeNeArXe 1 ns 1 1 1 1 1 17 NaCl 1.3 nm 10nm 3s CuAuAg NaCl CaF - - HeNeAr 1.7(b) 2 2 2d = a + a = 2a d = 2a 2 1 1 N = 8 + 6 = 4 8 2 4 4 2a 3 4 π N πr 3 3 4 ρ = = =
More information1 1 3 1.1 (Frequecy Tabulatios)................................ 3 1........................................ 8 1.3.....................................
1 1 3 1.1 (Frequecy Tabulatios)................................ 3 1........................................ 8 1.3........................................... 1 17.1................................................
More informationshuron.dvi
01M3065 1 4 1.1........................... 4 1.2........................ 5 1.3........................ 6 2 8 2.1.......................... 8 2.2....................... 9 3 13 3.1.............................
More information1 1 2 2 3 3 RBS 3 K-factor 3 5 8 Bragg 15 ERDA 21 ERDA 21 ERDA 21 31 31 33 RUMP 38 42 42 42 42 42 42 4 45 45 Ti 45 Ti 61 Ti 63 Ti 67 Ti 84 i Ti 86 V 90 V 99 V 101 V 105 V 114 V 116 121 Ti 121 Ti 123 V
More informationS I. dy fx x fx y fx + C 3 C dy fx 4 x, y dy v C xt y C v e kt k > xt yt gt [ v dt dt v e kt xt v e kt + C k x v + C C k xt v k 3 r r + dr e kt S dt d
S I.. http://ayapin.film.s.dendai.ac.jp/~matuda /TeX/lecture.html PDF PS.................................... 3.3.................... 9.4................5.............. 3 5. Laplace................. 5....
More informationさくらの個別指導 ( さくら教育研究所 ) A AB A B A B A AB AB AB B
1 1.1 1.1.1 1 1 1 1 a a a a C a a = = CD CD a a a a a a = a = = D 1.1 CD D= C = DC C D 1.1 (1) 1 3 4 5 8 7 () 6 (3) 1.1. 3 1.1. a = C = C C C a a + a + + C = a C 1. a a + (1) () (3) b a a a b CD D = D
More information5 36 5................................................... 36 5................................................... 36 5.3..............................
9 8 3............................................. 3.......................................... 4.3............................................ 4 5 3 6 3..................................................
More information1 Nelson-Siegel Nelson and Siegel(1987) 3 Nelson-Siegel 3 Nelson-Siegel 2 3 Nelson-Siegel 2 Nelson-Siegel Litterman and Scheinkman(199
Nelson-Siegel Nelson-Siegel 1992 2007 15 1 Nelson and Siegel(1987) 2 FF VAR 1996 FF B) 1 Nelson-Siegel 15 90 1 Nelson and Siegel(1987) 3 Nelson-Siegel 3 Nelson-Siegel 2 3 Nelson-Siegel 2 Nelson-Siegel
More informationWEO guidline Japanese OAP
World Economic Outlook(WEO, 世 界 経 済 見 通 し) データベースの 検 索 方 法 WEOデータベースでは 各 国 の 各 種 経 済 指 標 を 国 地 域 カテゴリ 別 に 検 索 することができ また 検 索 したデータをExcelファイルとしてダウンロードすることができます WEOは 春 と 秋 ( 通 常 4 月 と9 月 /10 月 )に 発 行 され
More informationuntitled
5 28 EAR CCLECCN ECCN 1. 2. 3. 4. 5.EAR page 1 of 28 WWW.Agilent.co.jp -> Q&A ECCN 10020A 10070A 10070B 10070C 10071A 10071B 10072A 10073A 10073B 10073C 10074A 10074B 10074C 10076A 10229A 10240B 10430A
More informationCRA3689A
AVIC-DRZ90 AVIC-DRZ80 2 3 4 5 66 7 88 9 10 10 10 11 12 13 14 15 1 1 0 OPEN ANGLE REMOTE WIDE SET UP AVIC-DRZ90 SOURCE OFF AV CONTROL MIC 2 16 17 1 2 0 0 1 AVIC-DRZ90 2 3 4 OPEN ANGLE REMOTE SOURCE OFF
More information18 2 20 W/C W/C W/C 4-4-1 0.05 1.0 1000 1. 1 1.1 1 1.2 3 2. 4 2.1 4 (1) 4 (2) 4 2.2 5 (1) 5 (2) 5 2.3 7 3. 8 3.1 8 3.2 ( ) 11 3.3 11 (1) 12 (2) 12 4. 14 4.1 14 4.2 14 (1) 15 (2) 16 (3) 17 4.3 17 5. 19
More informationexample2_time.eps
Google (20/08/2 ) ( ) Random Walk & Google Page Rank Agora on Aug. 20 / 67 Introduction ( ) Random Walk & Google Page Rank Agora on Aug. 20 2 / 67 Introduction Google ( ) Random Walk & Google Page Rank
More informationサイバネットニュース No.121
2007 Spring No.121 01 02 03 04 05 06 07 08 09 10 12 13 14 18 01 02 03 04 05 06 07 L R L R L R I x C G C G C G x 08 09 σ () t σ () t = Sx() t Q σ=0 P y O S x= y y & T S= 1 1 x& () t = Ax() t + Bu() t +
More information平成19年度
1 2 3 4 H 3 H CC N + 3 O H 3 C O CO CH 3 CH O CO O CH2 CH 3 P O O 5 H H H CHOH H H H N + CHOH CHOH N + CH CH COO- CHOH CH CHOH 6 1) 7 2 ) 8 3 ) 4 ) 9 10 11 12 13 14 15 16 17 18 19 20 A A 0 21 ) exp( )
More informationNobelman 絵文字一覧
Nobelman i-mode EZweb J-SKY 1 88 2 89 3 33 4 32 5 5 F[ 6 6 FZ 7 35 W 8 34 W 9 7 F] W 10 8 F\ W 11 29 FR 12 30 FS 13 64 FU 14 63 FT 15 E697 42 FW 16 E678 70 FV 17 E696 43 FX 18 E6A5 71 FY 19 117 20 E6DA
More information6. [1] (cal) (J) (kwh) ( 1 1 100 1 ( 3 t N(t) dt dn ( ) dn N dt N 0 = λ dt (3.1) N(t) = N 0 e λt (3.2) λ (decay constant), λ [λ] = 1/s 1947 2
filename=decay-text141118.tex made by R.Okamoto, Emeritus Prof., Kyushu Inst.Tech. * 1, 320 265 radioactive ray ( parent nucleus) ( daughter nucleus) disintegration, decay 2 1. 2. 4 ( 4 He) 3. 4. X 5.,
More information遺産相続、学歴及び退職金の決定要因に関する実証分析 『家族関係、就労、退職金及び教育・資産の世代間移転に関する世帯アンケート調査』
2-1. (2-1 ) (2-2 ) (2-3 ) (Hayashi [1986]Dekle [1989]Barthold and Ito [1992] [1996]Campbell [1997] [1998]Shimono and Ishikawa [2002]Shimono and Otsuki [2006] [2008]Horioka [2009]) 1 2-1-1 2-1-1-1 8 (1.
More informationBIS CDO CDO CDO CDO Cifuentes and O Connor[1] Finger[6] Li[8] Duffie and Garleânu[4] CDO Merton[9] CDO 1 CDO CDO CDS CDO three jump model Longstaff an
CDO 2010 5 18 CDO(Collateralized Debt Obligation) Duffie and Garleânu[4] CDO CDS(Credit Default Swap) Duffie and Garleânu[4] 4 CDO CDS CDO CDS CDO 2007 CDO CDO CDS 1 1.1 2007 2008 9 15 ( ) CDO CDO 80 E-mail:taiji.ohka@gmail.com
More information日本糖尿病学会誌第58巻第2号
β γ Δ Δ β β β l l l l μ l l μ l l l l α l l l ω l Δ l l Δ Δ l l l l l l l l l l l l l l α α α α l l l l l l l l l l l μ l l μ l μ l l μ l l μ l l l μ l l l l l l l μ l β l l μ l l l l α l l μ l l
More informationUNEP sustainable consumption sustainable production 1980 rebound effect rebound effect IO-EHA 1 CO 2 rebound effect CO 2 rebound effect
2005 3 Discussion Paper No. 95 UNEP sustainable consumption sustainable production 1980 rebound effect rebound effect IO-EHA 1 CO 2 rebound effect CO 2 rebound effect 2005 3 1 (Environmental Household
More information熊本県数学問題正解
00 y O x Typed by L A TEX ε ( ) (00 ) 5 4 4 ( ) http://www.ocn.ne.jp/ oboetene/plan/. ( ) (009 ) ( ).. http://www.ocn.ne.jp/ oboetene/plan/eng.html 8 i i..................................... ( )0... (
More informationWinter 図 1 図 OECD OECD OECD OECD 2003
266 Vol. 44 No. 3 I 序論 Mirrlees 1971 Diamond 1998 Saez 2002 Kaplow 2008 1 700 900 1, 300 1, 700 II III IV V II わが国の再分配の状況と国際比較 OECD Forster and Mira d Ercole 2005 2006 2001 Winter 08 267 図 1 図 2 2000 2
More information4.2.................... 20 4.3.................. 21 4.4 ( )............... 22 4.5 ( )...... 24 4.6 ( )........ 25 4.7 ( )..... 26 5 28 5.1 PID........
version 0.01 : 2004/04/16 1 2 1.1................. 2 1.2.......................... 3 1.3................. 5 1.4............... 6 1.5.............. 7 2 9 2.1........................ 9 2.2......................
More informationα = 2 2 α 2 = ( 2) 2 = 2 x = α, y = 2 x, y X 0, X 1.X 2,... x 0 X 0, x 1 X 1, x 2 X 2.. Zorn A, B A B A B A B A B B A A B N 2
1. 2. 3. 4. 5. 6. 7. 8. N Z 9. Z Q 10. Q R 2 1. 2. 3. 4. Zorn 5. 6. 7. 8. 9. x x x y x, y α = 2 2 α x = y = 2 1 α = 2 2 α 2 = ( 2) 2 = 2 x = α, y = 2 x, y X 0, X 1.X 2,... x 0 X 0, x 1 X 1, x 2 X 2.. Zorn
More informationビールと発泡酒の税率と経済厚生
RIETI Discussion Paper Series 12-J-019 RIETI Discussion Paper Series 12-J-019 2012 年 6 月 ビールと 発 泡 酒 の 税 率 と 経 済 厚 生 * 慶 田 昌 之 ( 立 正 大 学 ) 要 旨 本 稿 では, 近 年 ビール 系 飲 料 として 販 売 されている 発 泡 酒 の 登 場 によって 発 生 している
More information,, 2. Matlab Simulink 2018 PC Matlab Scilab 2
(2018 ) ( -1) TA Email : ohki@i.kyoto-u.ac.jp, ske.ta@bode.amp.i.kyoto-u.ac.jp : 411 : 10 308 1 1 2 2 2.1............................................ 2 2.2..................................................
More informationわが国企業による資金調達方法の選択問題
* takeshi.shimatani@boj.or.jp ** kawai@ml.me.titech.ac.jp *** naohiko.baba@boj.or.jp No.05-J-3 2005 3 103-8660 30 No.05-J-3 2005 3 1990 * E-mailtakeshi.shimatani@boj.or.jp ** E-mailkawai@ml.me.titech.ac.jp
More information一般演題(ポスター)
6 5 13 : 00 14 : 00 A μ 13 : 00 14 : 00 A β β β 13 : 00 14 : 00 A 13 : 00 14 : 00 A 13 : 00 14 : 00 A β 13 : 00 14 : 00 A β 13 : 00 14 : 00 A 13 : 00 14 : 00 A β 13 : 00 14 : 00 A 13 : 00 14 : 00 A
More information橡Taro11-卒業論文.PDF
Recombination Generation Lifetime 13 9 1. 3. 4.1. 4.. 9 3. Recombination Lifetime 17 3.1. 17 3.. 19 3.3. 4. 1 4.1. Si 1 4.1.1. 1 4.1.. 4.. TEG 3 5. Recombination Lifetime 4 5.1 Si 4 5.. TEG 6 6. Pulse
More informationn ξ n,i, i = 1,, n S n ξ n,i n 0 R 1,.. σ 1 σ i .10.14.15 0 1 0 1 1 3.14 3.18 3.19 3.14 3.14,. ii 1 1 1.1..................................... 1 1............................... 3 1.3.........................
More information13Ad m in is t r a t ie e n h u lp v e r le n in g Ad m in is t r a t ie v e p r o b le m e n,p r o b le m e n in d e h u lp v e r le n in g I n d ic
13D a t a b a n k m r in g R a p p o r t M ィC Aa n g e m a a k t o p 19 /09 /2007 o m 09 :3 1 u u r I d e n t if ic a t ie v a n d e m S e c t o r BJB V o lg n r. 06 013-00185 V o o r z ie n in g N ie
More informationCopyrght 7 Mzuho-DL Fnancal Technology Co., Ltd. All rghts reserved.
766 Copyrght 7 Mzuho-DL Fnancal Technology Co., Ltd. All rghts reserved. Copyrght 7 Mzuho-DL Fnancal Technology Co., Ltd. All rghts reserved. 3 Copyrght 7 Mzuho-DL Fnancal Technology Co., Ltd. All rghts
More information( β K ) p β W W p β K K aβ β W W β β K K ) 1/(βW +β K ) 3 ln C =lnα + 1 β W + β K ln Q (3) 1/(β W + β K ) ( β W + β K ) 4 ( ) ( ) (1998 2 1 3 ) ( 1998
3 1 1993-1995 ( Cobb-Douglas ) (1998 2 3 ) ( ) 17 (1998 2 1 ) 1 Christensen, Jorgensonand Lau (1973) 1983 ( ) 2 W = K = β W,β K > 0 Q = aw βw K βk (1) C = αq 1/(βW +βk) (2) 10 ( (A) (A03) ) ( ) ( ) 1 2
More informationSchaltschrank-Kühlgerät Cooling unit Climatiseur Koelaggregaat Kylaggregat Condizionatore per armadi Refrigerador para armarios SK 3359.xxx SK 373.xxx SK 338.xxx SK 3383.xxx SK 3384.xxx SK 3385.xxx SK
More information平成18年度弁理士試験本試験問題とその傾向
CBA CBA CBA CBA CBA CBA Vol. No. CBA CBA CBA CBA a b a bm m swkmsms kgm NmPa WWmK σ x σ y τ xy θ σ θ τ θ m b t p A-A' σ τ A-A' θ B-B' σ τ B-B' A-A' B-B' B-B' pσ σ B-B' pτ τ l x x I E Vol. No. w x xl/ 3
More informationpaper01.PDF
(1) (1) (2) (2) (3) (3) (4) * () (1996 12 1 2 3 [1994] B S B=S W D L (a) (b) B B=S = ( ) S D D Modigliani=Miller Ross and Westerfield [1988] Sharpe [1976] Treynor [1977] (a) V F F (b) F (c) (d) V F 4 L
More informationˆ CGE ž ž ˆ 2 CGE 2 1 ˆ n = 1,, n n ˆ k f = 1,, k ˆ ˆ ˆ 3
CGE 2 * Date: 2018/07/24, Verson 1.2 1 2 2 2 2.1........................................... 3 2.2.......................................... 3 2.3......................................... 4 2.4..................................
More informationX-FUNX ワークシート関数リファレンス
X-FUNX Level.4a xn n pt 1+ 1 sd npt Bxn3 cin + si + sa ( sd xn) 3 n t1 + n pt xn sd ( t1+ n pt) Bt t t cin + xn si sa ( sd xn) n 1 + +
More informationGrund.dvi
24 24 23 411M133 i 1 1 1.1........................................ 1 2 4 2.1...................................... 4 2.2.................................. 6 2.2.1........................... 6 2.2.2 viterbi...........................
More informationD:/BOOK/MAIN/MAIN.DVI
8 2 F (s) =L f(t) F (s) =L f(t) := Z 0 f()e ;s d (2.2) s s = + j! f(t) (f(0)=0 f(0) _ = 0 d n; f(0)=dt n; =0) L dn f(t) = s n F (s) (2.3) dt n Z t L 0 f()d = F (s) (2.4) s s =s f(t) L _ f(t) Z Z ;s L f(t)
More informationMott散乱によるParity対称性の破れを検証
Mott Parity P2 Mott target Mott Parity Parity Γ = 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 t P P ),,, ( 3 2 1 0 1 γ γ γ γ γ γ ν ν µ µ = = Γ 1 : : : Γ P P P P x x P ν ν µ µ vector axial vector ν ν µ µ γ γ Γ ν γ
More information