• Tidak ada hasil yang ditemukan

Calderon C and Serven L The Effect of Infrastructure Development on Growth and Income Distribution. Working Paper of the central Bank of

N/A
N/A
Protected

Academic year: 2021

Membagikan "Calderon C and Serven L The Effect of Infrastructure Development on Growth and Income Distribution. Working Paper of the central Bank of"

Copied!
31
0
0

Teks penuh

(1)

DAFTAR PUSTAKA

Abimanyu A. 2005. Kebijakan Fiskal dan Efektivitas Stimulus Fiskal di Indonesia: Aplikasi Model Makro-Modfi dan CGE-Indorani. Jurnal Ekononomi Indonesia ISEI 1:1-35

Aschauer DA. 1989. Is Public Expenditure Productive? Journal of Monetary Economics 23:177-200.

Afirman L dan Edy S. 2006. Analisis Hubungan Pengeluaran Pemerintah dan Produk Domestik Bruto dengan Menggunakan Pendekatan Granger Causality dan Vector Autoregression. Jurnal Keuangan Publik 4(1):25-66. Albarran P, Carrasco R, and Holl A. 2009. Domestik transport Cost Reduction

and Firms' Export Behaviour. FEDEA Working Paper 2008-13.

[BPS] Badan Pusat Statistik. 2008. Tabel Input Output Indonesia 2005. Jilid III. Jakarta: BPS.

[BPS] Badan Pusat Statistik. 2009a. Laporan Perekonomian Indonesia 2008. Jakarta: BPS.

[BPS] Badan Pusat Statistik. 2009b. Pengukuran dan Analisis Ekonomi Kinerja UKM dalam Hal Pembentukan Modal Tetap Bruto (Investasi) Nasional Tahun 2008: Laporan Akhir. Jakarta: BPS.

[Bappenas] Badan Perencanaan Pembangunan Nasional, Deputi Bidang Pengembangan Regional dan Otonomi Daerah. 2007. Laporan Hasil Kajian Tahun 2006: Penyusunan Model Perencanaan Lintas Wilayah dan Lintas Sektor. Jakarta: Bappenas.

Bank Dunia. 2007. Kajian Pengeluaran Publik Indonesia: Memaksimalkan Peluang Baru Kajian Pengeluaran Publik Indonesia 2007. Washington D.C: World Bank.

[BI] Bank Indonesia. 2009a. Buku Laporan Perekonomian Indonesia 2008. Jakarta: BI.

[BI] Bank Indonesia. 2009b. Laporan Neraca Pembayaran Indonesia: Realisasi Triwulan I Tahun 2009. Jakarta: BI.

[BI] Bank Indonesia. 2009c. Outlook Ekonomi Indonesia: Krisis Finansial Global dan Dampaknya terhadap Perekonomian Indonesia Januari 2009. Jakarta: BI.

Baumann R, Bryan E, and Victor AM. 2009. The Great Macroeconomics Experiment: Assesing the Effect of Fiscal Stimulus Spending on Employment Growth. Working Paper No. 09-10 College of the Holy Cross, Dept of Economics

Berndt ER and Hansson B. 1991. Measuring the Contribution of Public Infrastructure Capital in Sweden. National Bureau of Economic Research Working Paper. Number 3842.

(2)

Calderon C and Serven L. 2004. The Effect of Infrastructure Development on Growth and Income Distribution. Working Paper of the central Bank of Chile.

Chao D and Eden SHY. 2002. Public Sector Pricing, Capital Mobility and National Income: A Two Sector General Equilibrium Analysis. Pasific Economic Review, 7(3):555-571.

Corsetti G, Andre M, and Gernot M. 2009. Fiscal Stimulus with Spending Reversals. Working Paper: IMF.

Davig T and Eric ML. 2009. Expectation and Fiscal Stimulus. USA: CAEPR. Working Paper #006-2009. USA.

Daryanto A. 2009. Dinamika Daya Saing Industri Peternakan. Bogor: IPB Press. Delis A. 2008. Dampak Alokasi Dana Pembangunan Infrastruktur terhadap

Kinerja Ekonomi di Indonesia: Suatu Pendekatan Model Keseimbangan Umum [disertasi]. Bogor: Sekolah Pascasarjana, Institut Pertanian Bogor. Dixon PB, Parmenter BR, Powell A, and Wilcoxen PJ. 1992. Notes and Problems

in Applied General Equilibrium Economics. Amsterdam: North Holland. Dixon PB, BR Parmenter, J Sutton, and DP Vincent. 1982. ORANI: A

Multisectoral Model of the Australian Economy. Amsterdam: North Holland.

Escom. 2001. Dampak Kenaikan Harga BBM, Telepon dan TDL terhadap Inflasi. http://www.escom-online.com.

Estache A, Jean_Francois P, and Luc S. 2007. Impact of Infrastructure Spending in Mali: A CGE Modelling Approach. GREDI Working Paper 07-24.

Fedderke JW and Bogetic Z. 2006. Infrastructure and Growth in South Africa: Direct and Indirect Productivity Impacts of 19 Infrastructure Measures. World Bank Policy Reseach Working Paper Number 3989.

Granato MF. 2008. Regional Export Performance: First Nature, Agglomeration … and Destiny? The Role of Infrastructure. Research Working Paper of Andean Development Corporation.

He D, Zhiwei Z, and Wenlang Z. 2009. How Much will Be the Effect of China’s Fiscal-Stimulus Package on Output and Employment. Hongkong: HMA Working Paper 05/2009.

Hasan MF. 2009. Di Seputar Stimulus Fiskal. Harian Seputar Indonesia. Edisi 27 Janunari 2009.

Hirscman AO. 1957. Strategy of Development. Connecticut: Yale University Press.

Horridge M. 2001. Minimal: A Simplified general Equilibrium Model. Australia: Centre of Policy Studies and Impact Project, Monash University.

Jiang BQ. 2001. A Review of Studies on the Relationship between Transport Infrastructure Investments and Economic Growth. Vancouver: British Columbia.

(3)

Jhingan ML. 2008. Ekonomi Pembangunan dan Perencanaan. Guritno G, penerjemah; Rajawali, editor. Ed ke-12. Jakarta: PT Rajagrafindo Persada. Terjemahan dari: The Economics of Development and Planning.

[Kemenkeu] Kementerian Keuangan RI. 2009. Mengatasi Dampak Krisis Global melalui Program Stimulus Fiskal APBN 2009. Jakarta: Depkeu.

Krugman P. 1991. Increasing Returns and Economic Geography. Journal of Political Economy 99: 481-499.

Kunarjo. 2001. Defisit Anggaran Negara. Majalah Perencanaan Pembangunan, Edisi 23/2001.

Leeper EM, Todd BW, and Shu-Chun SY. 2009. Government Investment and Fiscal Stimulus in the Short and Long Runs. USA: CAEPR Working Paper:11-09.

Leigh A. 2009. How Much did the 2009 Fiscal Stimulus Boost Spending? Evidence from A Household Survey. Australia: Centre for Applied Macroeconomics Analysis, Australian National University. Working Paper 22/2009.

Lipsey RG, Courant PN, Puris DD, and Steiner PO. 1997. Pengantar Makro Ekonomi. Jakarta: Bina Rupa Aksara.

Makmun. 2009. Pasca Pilpres Pertumbuhan Ekonomi Indonesia Cerah. Edisi 21 Januari 2009. http://www.depkeu.com.

Mangkusoebroto, G. 2001. Ekonomi Publik. Edisi 3. Yogyakarta: BPFE.

Mankiw NG. 2007. Makroekonomi. Lisa F, Imam N, penerjemah; Hardani W, Devri B, Suryadi S, editor. Edisi ke-6. Jakarta: Penerbit Erlangga. Terjemahan dari: Macroeconomics.

Morrison CJ and Schwartz AE. 1992. State Infrastructure and Productive Performance. National Bureau of Economic Research Working Paper Number 3981.

Muhammad J. 2010. Perihal Industri Telekomunikasi Selular di Indonesia. Edisi 29 Januari 2010, http://www.bisnis.com.

Musgrave R and Peggy. 1990. The Public Finance in Theory and Practice. New York: Mc Graw Hill.

Mutakin F, Salam RA, dan Driyo AD. 2008. Peta Ekspor-Impor 2008 dan Proyeksi Ekspor Indonesia Tahun 2009. Economic Review No. 214.

Nicholson W. 2002. Mikroekonomi Intermediate dan Aplikasinya. Mahendra IGNB, Abdul A, penerjemah; Kristiaji WC, Yati S, Nurcahyo M, editor. Ed ke-8. Jakarta: Penerbit Erlangga. Terjemahan dari: Intermediate Microeconomics and Its Application.

Norton SW. 1992. Transaction Cost, Telecomunications, and the Microeconomics of Macroeconomics Growth. Economic Development and Cultural Change 40:175-196.

(4)

Okpora JO. 2007. Strategic Export Orientation and Internasionization Barriers: Evidence from SMEs in a Developing Economy. Journal of International Business and Cultural Studies.

Oktaviani R. 2000. The Impact of APEC Trade Liberalization on Indonesian Economy and Its Agricultural Sektor [disertasi]. The Sidney University. Oktaviani R. 2008. Model Ekonomi Keseimbangan Umum: Teori dan Aplikasinya

di Indonesia. Bogor: FEM IPB.

Oktaviani R, Dedi BH, Hermanto S, and Sahara. 2007. Impact of a Lower Oil Subsidy on Indonesia Macroeconomic Performance Agricultural Sector and Poverty Incidence: A Recursive Dynamic Computable General Equilibrium Analysis. MPIA Working Paper 2007-08.

Peacock AT and Wiseman J. 1961. The Growth of Public Expenditure in the United Kingdom. London: Oxford University Press.

Pei-Sun FZ. 2009. The Relationship between Transport Infrastructure and Economic Growth: An Empirical Analysis Comparing Developing and Developed Countries [tesis]. Dalarna University: School of Economics and Social Sciences.

Priyarsono DS, Widyastutik, dan Henny R. 2008. Ekonomi Publik. Jakarta: Universitas Terbuka.

Ratnawati A dan Boediarso TW. 2009. Dukungan Kebijakan Fiskal terhadap Pembangunan Ekonomi Berkelanjutan Menghadapi Krisis Ekonomi Global. di dalam: Oktaviani et al, editor. Orange Book: Pembangunan Ekonomi Berkelanjutan dalam Menghadapi Krisis Global. Bogor: IPB Pr. hlm 3-37. Reinhart CM and Vincent MR. 2009. Fiscal Stimulus for Debt Intolerant

Countries? Munich Personal RePEc Archive Paper No. 16973.

Sahara. 2003. Dampak Kenaikan Harga Bahan Bakar Minyak, Tarif Dasar Listrik, Tarif Telephon dan Penyaluran Dana Kompensasi terhadap Ekonomi Makro dan Sektoral di Indonesia [tesis]. Bogor: Sekolah Pascasarjana, Institut Pertanian Bogor.

Sahara dan Rina O. 2008. Penggunaan Program GEMPACK untuk Membangun Data Dasar dan Simulasi Model CGE. Bogor: FEM IPB.

Sambodo MT. 2009. Stimulus Fiskal dan Efektivitas Kebijakan Fiskal. Harian Seputar Indonesia. Edisi 29 Januari 2009.

Silva AK and Horridge M. 1996. Economic of Scale and Imperfect Competition in an Applied General Equilibrium Model of The Australian Economy. Working Paper of Centre of Policy Studies and Impact Project No OP-84. Australia: Monash University.

Sitepu RK dan Bonar MS. 2004. Dampak Investasi SDM terhadap Pertumbuhan Ekonomi dan Kemiskinan di Indonesia: Pendekatan Model CGE. Bogor: Sekolah Pascasarjana, Institut Pertanian Bogor.

(5)

Sugema I. 2001. Restrukturisasi Perbankan dan Instabilitas Fiskal dan Moneter. Bisnis dan Ekonomi Politik, 4(4):21-32.

Stiglitz JE. 2000. Economics of the Public Sektor. Third Ed. New York: W.W. Norton & Company.

Strulik H and Timo T. 2009. Fiscal Stimulus: A Neoclasical Perpective. Discussion Paper No. 421. Leibniz Universitet Hannover.

Torrisi G. 2008. Piblic Infrastructure: Definition, Classification and Measurement Issues. DEMQ Working Paper, University of Catania.

(6)
(7)

Lampiran 1 Blok persamaan pada file input tablo Model CGE Indomini. Blok Persamaan 1

! Mukti Indomini model 2010 ! ! Excerpt 1 of TABLO input file: ! ! Sets and flows data!

Set ! User categories: IO table columns ! IND # Industries #

(padi,plwj,tbmln,karet,klpswt,kpteh,tbkckh,kebln,trkhsl,htnhsl,ikanhsl,mykgas,tm bgln,mkmnrk,tklbhn,kykts,kmppk,klgmyk,plkrtlg,smn,indln,lrkgs,air,bttntt,irgjjpe l,bgnln,dgg,htlrst,agkdrt,agkair,agkudr,kom,lbgug,swpsh,pmrth,jsln);

! subscript i !

FINALUSER # Final demanders #

(Investment,Households,Government,Exports);

USER # All users #= IND union FINALUSER; ! subscript u ! IMPUSER # Non-export demanders: users of imports #

(padi,plwj,tbmln,karet,klpswt,kpteh,tbkckh,kebln,trkhsl,htnhsl,ikanhsl,mykgas,tm bgln,mkmnrk,tklbhn,kykts,kmppk,klgmyk,plkrtlg,smn,indln,lrkgs,air,bttntt,irgjjpe l,bgnln,dgg,htlrst,agkdrt,agkair,agkudr,kom,lbgug,swpsh,pmrth,jsln,

Investment,Households,Government); Subset

IMPUSER is subset of USER; IND is subset of IMPUSER;

Set ! Input categories: IO table rows !

COM # Commodities # (padi,plwj,tbmln,karet,klpswt,kpteh,tbkckh,kebln, trkhsl,htnhsl,ikanhsl,mykgas,tmbgln,mkmnrk,tklbhn,kykts,kmppk,klgmyk, plkrtlg,smn,indln,lrkgs,air,bttntt,irgjjpel,bgnln,dgg,htlrst,agkdrt,

agkair,agkudr,kom,lbgug,swpsh,pmrth,jsln); ! subscript c !

SRC # Source of commodities # (dom,imp); ! subscript s ! FAC # Primary factors # (Labor, Capital); ! subscript f ! Coefficient

(all,c,COM)(all,s,SRC)(all,u,USER) USE(c,s,u) # USE matrix #; (all,f,FAC)(all,i,IND) FACTOR(f,i) # Wages and profits #; (all,i,IND) V1PTX(i) # Production tax revenue #;

(all,c,COM) V0MTX(c) # import tax revenue #; File BASEDATA # Flows Data File #;

Read

USE from file BASEDATA header "USE"; FACTOR from file BASEDATA header "1FAC"; V0MTX from file BASEDATA header "0TAR"; V1PTX from file BASEDATA header "1PTX"; Blok Persamaan 2

! Excerpt 2 of TABLO input file: ! ! Useful aggregates of the base data !

(8)

Coefficient

(all,c,COM)(all,u,USER) USE_S(c,u) # USE matrix, dom+imp together#; (all,u,USER) USE_CS(u) # Total user expenditure on goods #; (all,c,COM)(all,s,SRC) SALES(c,s) # Total value of sales #;

(all,i,IND) V1PRIM(i) # Wages plus profits #; (all,i,IND) V1TOT(i) # Industry Costs #;

(all,c,COM) V0CIF(c) # Aggregate imports at border prices #; Formula

(all,c,COM)(all,u,USER) USE_S(c,u) = sum{s,SRC,USE(c,s,u)}; (all,u,USER) USE_CS(u) = sum{c,COM,USE_S(c,u)}; (all,c,COM)(all,s,SRC) SALES(c,s) = sum{u,USER,USE(c,s,u)}; (all,i,IND) V1PRIM(i) = sum{f,FAC,FACTOR(f,i)};

(all,i,IND) V1TOT(i) = V1PRIM(i) + sum{c,COM,USE_S(c,i)}; (all,c,COM) V0CIF(c) = SALES(c,"imp") - V0MTX(c);

Blok Persamaan 3

! Excerpt 3 of TABLO input file: ! ! Total demands for commodities ! Variable

(all,c,COM)(all,s,SRC)(all,u,USER)

x(c,s,u) # Demand by user u for good c, source s #;

(all,c,COM)(all,s,SRC) x0(c,s) # Total demand for good c, source s #; Equation E_x0

(all,c,COM)(all,s,SRC) SALES(c,s)*x0(c,s)= sum{u,USER,USE(c,s,u)*x(c,s,u)}; Blok Persamaan 4

! Excerpt 4 of TABLO input file: !

! Import/Domestic sourcing decision for all non-export users! Variable

(all,c,COM)(all,s,SRC) p(c,s) # User price of good c, source s #; (all,c,COM)(all,u,IMPUSER) p_s(c,u) # User price of composite good c #; (all,c,COM)(all,u,IMPUSER) x_s(c,u) # Use of composite good c #; Coefficient

(all,c,COM) SIGMA(c) # elasticity of substitution: domestic/imported #; (all,c,COM)(all,s,SRC)(all,u,IMPUSER) SRCSHR(c,s,u) # imp/dom shares #; Read SIGMA from file BASEDATA header "ARM";

Formula (all,c,COM)(all,s,SRC)(all,u,IMPUSER) SRCSHR(c,s,u) = USE(c,s,u)/USE_S(c,u); Equation E_x

(all,c,COM)(all,s,SRC)(all,u,IMPUSER)

x(c,s,u) = x_s(c,u) - SIGMA(c)*[p(c,s) - p_s(c,u)]; Equation E_p_s

(9)

Blok Persamaan 5

! Excerpt 5 of TABLO input file: ! ! Demands for capital and Labor ! Variable

(all,i,IND) x1prim(i) # Industry demand for primary-factor composite #; (all,i,IND) p1prim(i) # Price of primary factor composite #;

(all,i,IND) x1lab(i) # Employment by industry #; p1lab # Economy-wide wage rate #; (all,i,IND) x1cap(i) # Current capital stock #; (all,i,IND) p1cap(i) # Rental price of capital #;

Coefficient (all,i,IND) SIGMA1PRIM(i) # CES substitution, primary factors #; Read SIGMA1PRIM from file BASEDATA header "P028";

Equation E_x1lab

(all,i,IND) x1lab(i) = x1prim(i) - SIGMA1PRIM(i)*[p1lab-p1prim(i)]; Equation E_x1cap

(all,i,IND) x1cap(i) = x1prim(i) - SIGMA1PRIM(i)*[p1cap(i)-p1prim(i)]; Equation E_p1prim

(all,i,IND) V1PRIM(i)*p1prim(i)

= FACTOR("Labor",i)*p1lab + FACTOR("Capital",i)*p1cap(i); Blok Persamaan 6

! Excerpt 6 of TABLO input file: !

! Demands for composite inputs to production ! Variable

(all,i,IND) x1tot(i) # Industry output #;

(all,i,IND) a1prim(i) # All primary-factor augmenting technical change #; (all,i,IND) p1tot(i) # Unit cost of production #;

Equation E_x1 # demand for commodity composites # (all,c,COM)(all,i,IND) x_s(c,i)= x1tot(i);

Equation E_x1prim # demand for primary-factor composites # (all,i,IND) x1prim(i) = a1prim(i) + x1tot(i);

Equation E_p1tot # cost of production = cost of all inputs # (all,i,IND) V1TOT(i)*[p1tot(i)+ x1tot(i)] =

sum{c,COM,sum{s,SRC, USE(c,s,i)*[p(c,s) + x(c,s,i)]}} + FACTOR("Labor",i)*[p1lab + x1lab(i)]

+ FACTOR("Capital",i)*[p1cap(i)+ x1cap(i)]; Blok Persamaan 7

! Excerpt 7 of TABLO input file: ! ! Household demands !

Variable

p3tot # Consumer price index #; x3tot # Real household consumption #;

w3tot # Nominal total household consumption #; Equation E_x3

(10)

(all,c,COM) x_s(c,"Households") + p_s(c,"Households") = w3tot; Equation E_x3tot USE_CS("Households")*x3tot = sum{c,COM, USE_S(c,"Households")*x_s(c,"Households")}; Equation E_p3tot USE_CS("Households")*p3tot = sum{c,COM, USE_S(c,"Households")*p_s(c,"Households")}; Blok Persamaan 8

! Excerpt 8 of TABLO input file: ! ! Export demands !

Variable

(all,c,COM) pworld(c) # World prices, measured in foreign currency #; (all,c,COM) f4q(c) # Quantity shift in foreign demand #;

phi # Exchange rate, (local $)/(foreign $) #;

Coefficient (all,c,COM) EXP_ELAST(c) # Export demand elasticities #; Read EXP_ELAST from file BASEDATA header "P018";

Equation E_x4a (all,c,COM) x(c,"dom","Exports") =

f4q(c)-EXP_ELAST(c)*[{p(c,"dom")-phi}- pworld(c)]; Equation E_x4b (all,c,COM) x(c,"imp","Exports") = 0;

Blok Persamaan 9

! Excerpt 9 of TABLO input file: !

! Market clearing and prices for domestic commodities ! Subset COM is subset of IND;

Equation E_x1tot (all,c,COM) x1tot(c) = x0(c,"dom"); Variable

(change)(all,c,COM) Delptxrate(c) # Ordinary change in rate of domestic tax #; Equation E_pA

(all,c,COM)

p(c,"dom") = p1tot(c) +

100*[V1TOT(c)/(V1TOT(c)+V1PTX(c))]*Delptxrate(c); Blok Persamaan 10

! Excerpt 10 of TABLO input file: ! ! Prices for imported commodities ! Variable

(change)(all,c,COM) Delmtxrate(c) # Ordinary change in rate of import tax #; Equation E_pB

(all,c,COM)

p(c,"imp") = pworld(c)+phi + 100*[V0CIF(c)/SALES(c,"imp")]*Delmtxrate(c); Blok Persamaan 11

(11)

! GDP from income side !

Variable w0gdpinc # Nominal GDP from income side #; Coefficient V0GDPINC # GDP from income side #;

Formula V0GDPINC = sum{i,IND, sum{f,FAC, FACTOR(f,i)}} + sum{c,COM, V1PTX(c) + V0MTX(c)};

Equation E_w0gdpinc V0GDPINC*w0gdpinc =

sum{i,IND, FACTOR( "Labor",i)*[p1lab + x1lab(i)]} +sum{i,IND, FACTOR("Capital",i)*[p1cap(i) + x1cap(i)]}

+sum{c,COM, 100*V1TOT(c)*Delptxrate(c) + V1PTX(c)*[x1tot(c)+ p1tot(c)]} +sum{c,COM, 100*V0CIF(c)*Delmtxrate(c) +

V0MTX(c)*[x0(c,"imp")+pworld(c)+phi]}; Blok Persamaan 12

! Excerpt 12 of TABLO input file: ! ! Expenditure-side GDP measures ! Variable

w0gdpexp # Nominal GDP from expenditure side #; p0gdpexp # GDP price index, expenditure side #; x0gdpexp # Real GDP from expenditure side #; Coefficient

V0GDPEXP # GDP from expenditure side #; Formula

V0GDPEXP = sum{c,COM, sum{s,SRC,sum{u,FINALUSER, USE(c,s,u)}} - V0CIF(c)};

Equation E_w0gdpexp V0GDPEXP*w0gdpexp =

sum{c,COM, sum{s,SRC,sum{u,FINALUSER, USE(c,s,u)*[p(c,s)+x(c,s,u)]}} - V0CIF(c)*[x0(c,"imp")+ pworld(c)+phi]};

Equation E_p0gdpexp

V0GDPEXP*p0gdpexp = sum{c,COM,

sum{s,SRC,sum{u,FINALUSER, USE(c,s,u)*p(c,s)}} - V0CIF(c)*[pworld(c)+phi]};

Equation E_x0gdpexp x0gdpexp = w0gdpexp - p0gdpexp; Blok Persamaan 13

! Excerpt 13 of TABLO input file: ! ! More macro variables !

Variable

x4tot # Export volume index #; p4tot # Export price index #; p2tot # Investment price index #;

x0cif_c # Import volume index, CIF prices #; (change) delB # (Balance of trade)/GDP #; Equation E_x4tot

(12)

Equation E_p4tot

sum{c,COM, USE(c,"dom","Exports")*[p4tot - p(c,"dom")]} = 0; Equation E_p2tot

sum{c,COM, sum{s,SRC, USE(c,s,"Investment")*[p2tot - p(c,s)]}} = 0; Equation E_x0cif_c

sum{c,COM, V0CIF(c)*[x0cif_c - x0(c,"imp")]}=0; Equation E_delB 100*V0GDPEXP*delB= sum{c,COM, USE(c,"dom","Exports")*[p(c,"dom")+x(c,"dom","Exports")-w0gdpexp] - V0CIF(c)*[x0(c,"imp")+ pworld(c)+phi-w0gdpexp]}; Blok Persamaan 14

! Excerpt 14 of TABLO input file: ! ! Variables to assist factor market closure !

Variable realwage # Wage rate deflated by CPI #; employ # Aggregate employment #; (all,i,IND) gret(i) # Gross rate of return #; Equation E_realwage realwage = p1lab - p3tot;

Equation E_employ sum{i,IND, FACTOR("Labor",i)*[employ - x1lab(i)]}=0; Equation E_gret (all,i,IND) gret(i) = p1cap(i) - p2tot;

Blok Persamaan 15

! Excerpt 15 of TABLO input file: ! ! Updating rules !

Update

(all,c,COM)(all,s,SRC)(all,u,USER) USE(c,s,u) = p(c,s)*x(c,s,u); (all,i,IND) FACTOR("Labor",i) = p1lab*x1lab(i); (all,i,IND) FACTOR("Capital",i) = p1cap(i)*x1cap(i); (change)(all,c,COM) V0MTX(c) =

V0CIF(c)*Delmtxrate(c) + 0.01*V0MTX(c)*[x0(c,"imp")+ pworld(c)+phi]; (change)(all,c,COM) V1PTX(c) =

V1TOT(c)*Delptxrate(c) + 0.01*V1PTX(c)*[x1tot(c)+ p1tot(c)]; Blok Persamaan 16

! Excerpt 16 of TABLO input file: ! ! Summarize and check data !

File (new) SUMMARY # output file for summary data #;

Coefficient (all,c,COM) CHECK(c) # (costs + tax) - sales : should = 0 #;

Formula (all,c,COM) CHECK(c) = V1TOT(c) + V1PTX(c) - SALES(c,"dom"); Set COSTCAT # cost categories # = SRC union FAC;

Coefficient

(all,c,COSTCAT)(all,i,IND) COSTMAT(c,i) # Summary of industry costs #; Formula

(13)

(all,i,IND)(all,f,FAC) COSTMAT(f,i) = FACTOR(f,i); Write

CHECK to file SUMMARY header "CHEK"; COSTMAT to file SUMMARY header "COST"; SALES to file SUMMARY header "SALE"; V1PRIM to file SUMMARY header "1PRM"; V1TOT to file SUMMARY header "1TOT"; V0CIF to file SUMMARY header "0CIF"; V0GDPEXP to file SUMMARY header "GDPE"; V0GDPINC to file SUMMARY header "GDPI"; Blok Persamaan 17

! Excerpt 17 of TABLO input file: ! ! More summary data !

Set MAINUSER # broad user groups #

(Intermediate, Investment, Households, Government, Exports); Subset FinalUser is subset of MAINUSER;

Coefficient

(all,c,COM)(all,u,MAINUSER) MAINSALES(c,u) # Summary of sales #; Formula

(all,c,COM) MAINSALES(c,"Intermediate") = sum{i,IND,USE(c,"dom",i)}; (all,c,COM)(all,u,FINALUSER) MAINSALES(c,u) = USE(c,"dom",u); Coefficient (all,i,IND) CAPSHR(i) # Share of capital in primary factor costs #; Formula (all,i,IND) CAPSHR(i) = FACTOR("capital",i)/V1PRIM(i); Coefficient (all,c,COM) IMPSHR(c) # Share imports in local purchases #; Formula

(all,c,COM) IMPSHR(c) =

sum{u,IMPUSER,USE(c,"imp",u)}/sum{u,IMPUSER,USE_S(c,u)}; Write

MAINSALES to file SUMMARY header "MSAL"; CAPSHR to file SUMMARY header "KSHR"; IMPSHR to file SUMMARY header "MSHR"; ! end of file !

(14)
(15)

Lampiran 2 Hasil simulasi dampak stimulus fiskal bidang infrastruktur padatkarya terhadap output domestik (x0dom), harga output (pdom) dan harga faktor primer komposit (p1prim) sektoral

(%) Sektor Output domestik Harga domestik Harga faktor primer komposit SR LR SR LR SR LR 1. Padi 4.59 5.76 -3.88 -0.42 -1.65 2.16 2. Palawija 5.17 5.47 -3.59 -0.40 -1.27 2.09

3. Tanaman bahan makanan lainnya 3.80 4.85 -4.34 -0.15 -2.12 2.34

4. Karet 3.88 4.01 -2.12 -1.66 0.67 0.60

5. Kelapa sawit 4.55 5.49 -3.62 -1.27 -0.59 1.52 6. Kopi dan teh 3.58 4.25 -4.32 -1.00 -1.91 1.63 7. Tembakau dan Cengkeh 4.37 5.59 -3.53 -0.98 -1.01 1.66 8. Hasil perkebunan dan pertanian

lainnya

3.78 4.40 -4.16 -0.67 -1.68 1.97 9. Peternakan dan hasilnya 3.61 6.14 -3.77 -1.25 -0.89 1.35 10. Kehutanan dan hasilnya 2.96 2.48 -4.52 -0.63 -2.23 1.95 11. Perikanan dan hasilnya 3.17 4.97 -4.49 -0.52 -2.17 2.06 12. Minyak dan gas bumi 5.61 -3.26 -1.4 2.36 -1.44 2.54 13. Pertambangan dan penggalian

lainnya

1.19 1.42 4.78 1.23 7.06 1.97 14. Industri makanan, minuman dan

rokok

4.59 5.77 -5.03 -1.69 -2.42 1.60 15. Industri tekstil dan bahan tekstil 4.48 4.16 -5.1 -2.19 -2.54 1.49 16. Industri bahan kayu dan kertas 3.95 3.47 -5.51 -2.09 -3.01 1.62 17. Industri kimia dan pupuk 5.31 4.47 -2.86 -0.89 -1.59 1.36 18. Industri pengilangan minyak 4.54 3.29 -4.76 -1.21 -2.52 2.12 19. Industri plastik, karet dan bukan

logam

3.85 4.04 -4.19 -1.71 -3.3 1.31 20. Industri semen 0.73 0.68 -4.28 -1.23 -5.82 1.60 21. Industri lainnya 5.92 5.15 -3.44 -1.71 -1.10 1.51 22. Listrik dan gas 12.70 11.20 -5.35 -3.07 -0.80 1.91 23. Air bersih 9.53 10.79 -7.94 -5.23 -2.41 0.78 24. Bangunan tempat tinggal dan

bukan tempat tinggal

0.51 0.62 -6.46 -1.68 -8.67 1.53 25. Irigasi, jalan, jembatan dan

pelabuhan

0.26 0.44 -7.95 -1.71 -13.62 0.92 26. Bangunan lainnya 0.55 0.65 -7.51 -1.92 -13.42 0.85

27. Perdagangan 4.12 4.94 -5.91 -2.35 -2.41 1.62

28. Hotel dan restoran 4.54 6.43 -5.15 -2.03 -1.89 1.28 29. Angkutan darat dan penunjangnya 6.32 6.37 -7.69 -3.34 -6.37 1.06 30. Angkutan air 5.83 4.44 -7.69 -2.58 -10.55 1.31 31. Angkutan udara 6.21 6.71 -6.64 -2.68 -8.37 0.76

32. Komunikasi 6.77 7.46 -7.87 -3.99 -2.44 2.04

33. Lembaga keuangan 6.76 7.49 -7.43 -4.04 -2.31 1.62 34. Persewaan dan jasa perusahaan 7.93 7.44 -6.89 -3.40 -2.00 2.20 35. Pemerintahan umum 2.64 10.29 -0.7 -2.63 4.35 -1.04 36. Jasa lainnya 3.60 6.29 -2.16 -1.78 1.61 0.24 Keterangan:

SR = jangka pendek (short-run) LR = jangka panjang (long-run)

(16)

Lampiran 3 Hasil simulasi dampak stimulus fiskal bidang infrastruktur padatkarya terhadap permintaan tenaga kerja (x1lab) dan faktor primer komposit (x1prim) sektoral

(%)

Sektor Tenaga kerja

Faktor primer komposit SR LR SR LR

1. Padi 2.66 2.92 2.18 3.33

2. Palawija 3.43 2.60 2.75 3.04

3. Tanaman bahan makanan lainnya 1.64 2.14 1.41 2.44

4. Karet 3.16 0.45 1.49 1.62

5. Kelapa sawit 3.17 2.34 2.14 3.07

6. Kopi dan teh 1.69 0.86 1.2 1.85

7. Tembakau dan Cengkeh 2.77 2.51 1.97 3.17

8. Hasil perkebunan dan pertanian lainnya 1.79 1.56 1.39 2.00 9. Peternakan dan hasilnya 1.92 3.05 1.23 3.70 10. Kehutanan dan hasilnya 0.76 -0.37 0.59 0.12 11. Perikanan dan hasilnya 1.00 2.11 0.8 2.56 12. Minyak dan gas bumi 6.21 -3.46 5.61 -3.26 13. Pertambangan dan penggalian lainnya 1.59 1.38 1.19 1.42 14. Industri makanan, minuman dan rokok 0.16 0.75 0.11 1.23 15. Industri tekstil dan bahan tekstil 0.01 -0.93 0.01 -0.30 16. Industri bahan kayu dan kertas -0.71 -1.53 -0.5 -0.96 17. Industri kimia dan pupuk 1.23 -0.70 0.8 -0.01 18. Industri pengilangan minyak 0.08 -1.50 0.06 -1.13 19. Industri plastik, karet dan bukan logam -0.94 -1.13 -0.6 -0.42

20. Industri semen -5.02 -4.20 -3.58 -3.63

21. Industri lainnya 2.04 0.02 1.38 0.65

22. Listrik dan gas 3.90 1.09 2.98 1.61

23. Air bersih 0.15 0.15 0.08 1.23

24. Bangunan tempat tinggal dan bukan tempat

tinggal -4.27 -3.19 -3.02 -2.92

25. Irigasi, jalan, jembatan dan pelabuhan -5.56 -3.48 -3.26 -3.09 26. Bangunan lainnya -5.25 -3.28 -2.98 -2.88

27. Perdagangan 0.25 0.30 0.18 0.96

28. Hotel dan restoran 0.92 1.56 0.58 2.40

29. Angkutan darat dan penunjangnya -0.65 -0.46 -0.39 -0.34

30. Angkutan air -1.26 -2.22 -0.84 -2.15

31. Angkutan udara -0.91 -0.17 -0.49 -0.02

32. Komunikasi 0.04 0.62 0.03 0.68

33. Lembaga keuangan 0.43 0.32 0.3 0.98

34. Persewaan dan jasa perusahaan 1.68 0.56 1.4 0.94

35. Pemerintahan umum 3.95 5.82 0.45 7.94

36. Jasa lainnya 3.54 2.64 1.39 4.02

Keterangan:

SR = jangka pendek (short-run) LR = jangka panjang (long-run)

(17)

Lampiran 4 Hasil simulasi dampak stimulus fiskal bidang infrastruktur padatkarya terhadap ekspor dan impor sektoral

(%)

Sektor Ekspor Impor

SR LR SR LR

1. Padi 48.44 4.27 -14.53 3.52

2. Palawija 15.24 1.58 -6.21 3.89

3. Tanaman bahan makanan lainnya 23.74 0.71 -2.90 4.47

4. Karet 11.28 8.73 -1.55 -0.23

5. Kelapa sawit 19.68 6.42 -4.60 2.43

6. Kopi dan teh 20.10 4.27 -7.91 2.96

7. Tembakau dan Cengkeh 11.59 3.04 -5.18 3.51 8. Hasil perkebunan dan pertanian lainnya 17.97 2.63 -0.43 3.98 9. Peternakan dan hasilnya 15.29 4.75 -4.27 3.68 10. Kehutanan dan hasilnya 23.70 2.94 -8.20 3.25 11. Perikanan dan hasilnya 10.80 1.16 -3.22 4.20 12. Minyak dan gas bumi 27.90 -33.48 -3.79 16.89 13. Pertambangan dan penggalian lainnya -8.59 -2.33 19.48 7.78 14. Industri makanan, minuman dan rokok 23.75 7.27 -5.47 3.23 15. Industri tekstil dan bahan tekstil 47.23 17.75 -9.76 0.72 16. Industri bahan kayu dan kertas 39.02 13.06 -9.47 0.20 17. Industri kimia dan pupuk 20.75 6.00 -0.89 3.25 18. Industri pengilangan minyak 106.97 19.90 -1.99 3.50 19. Industri plastik, karet dan bukan logam 37.38 13.70 -7.66 1.43

20. Industri semen 38.34 9.66 -14.59 -3.92

21. Industri lainnya 29.71 13.72 -5.22 0.41

22. Listrik dan gas 36.07 19.07 -26.19 -10.25

23. Air bersih 58.70 34.97 -9.80 -0.76

24. Bangunan tempat tinggal dan bukan tempat

tinggal 28.71 6.60 -2.55 4.28

25. Irigasi, jalan, jembatan dan pelabuhan 36.97 6.75 -2.55 4.28

26. Bangunan lainnya 34.52 7.63 -2.55 4.28

27. Perdagangan 25.88 9.40 -5.22 3.17

28. Hotel dan restoran 22.25 8.10 -4.85 3.29 29. Angkutan darat dan penunjangnya 35.56 13.79 -6.07 2.43

30. Angkutan air 35.53 10.44 -4.96 2.58

31. Angkutan udara 29.63 10.80 -5.47 2.98

32. Komunikasi 36.31 16.66 -6.16 2.34

33. Lembaga keuangan 34.07 16.97 -6.15 1.91

34. Persewaan dan jasa perusahaan 31.14 14.04 -4.75 1.84

35. Pemerintahan umum 2.67 10.62 -1.34 1.60

36. Jasa lainnya 8.67 7.06 -3.26 3.29

Keterangan:

SR = jangka pendek (short-run) LR = jangka panjang (long-run)

(18)

Lampiran 5 Hasil uji signifikansi produktivitas (elastisitas) masing-masing peubah dalam penelitian menurut sektor PDB lapangan Usaha. 1 Sektor pertanian

Dependent Variable: LNO1

Variable Coefficient Std. Error t-Statistic Prob.

C 23.97797 10.36325 2.313751 0.0686

LNTK1 -0.701072 0.586146 -1.196071 0.2853

LNIG1 0.162314 0.030700 5.287078 0.0032

LNIS1 -0.091151 0.035452 -2.571070 0.0500

R-squared 0.940682 Mean dependent var 12.41778 Adjusted R-squared 0.905090 S.D. dependent var 0.089955 S.E. of regression 0.027713 Akaike info criterion -4.032738 Sum squared resid 0.003840 Schwarz criterion -3.945082 Log likelihood 22.14732 Hannan-Quinn criter. -4.221898 F-statistic 26.43025 Durbin-Watson stat 1.722880

Prob(F-statistic) 0.001708

2 Sektor pertambangan dan penggalian Dependent Variable: LNO2

Variable Coefficient Std. Error t-Statistic Prob.

C 12.38326 0.824062 15.02710 0.0000

LNTK2 -0.027583 0.061489 -0.448580 0.6725

LNIG2 0.007037 0.038282 0.183816 0.8614

LNIS2 -0.001345 0.011227 -0.119811 0.9093

R-squared 0.039877 Mean dependent var 12.03056 Adjusted R-squared -0.536196 S.D. dependent var 0.021605 S.E. of regression 0.026778 Akaike info criterion -4.101369 Sum squared resid 0.003585 Schwarz criterion -4.013713 Log likelihood 22.45616 Hannan-Quinn criter. -4.290529 F-statistic 0.069223 Durbin-Watson stat 0.793868

(19)

3 Sektor industri pengolahan Dependent Variable: LNO3

Variable Coefficient Std. Error t-Statistic Prob.

C -1.252117 11.56373 -0.108280 0.9180

LNTK3 0.751016 0.667927 1.124397 0.3119

LNIG3 0.304841 0.098855 3.083705 0.0274

LNIS3 0.031265 0.074478 0.419794 0.6921

R-squared 0.891813 Mean dependent var 13.04967 Adjusted R-squared 0.826901 S.D. dependent var 0.132178 S.E. of regression 0.054993 Akaike info criterion -2.662125 Sum squared resid 0.015121 Schwarz criterion -2.574470 Log likelihood 15.97956 Hannan-Quinn criter. -2.851285 F-statistic 13.73878 Durbin-Watson stat 1.575487

Prob(F-statistic) 0.007533

4 Sektor listrik, gas dan air bersih Dependent Variable: LNO4

Variable Coefficient Std. Error t-Statistic Prob.

C 4.237303 2.727228 1.553703 0.1810

LNTK4 0.110364 0.234522 0.470592 0.6577

LNIG4 0.423527 0.068625 6.171618 0.0016

LNIS4 0.023180 0.023712 0.977593 0.3732

R-squared 0.897495 Mean dependent var 9.309000 Adjusted R-squared 0.835992 S.D. dependent var 0.186767 S.E. of regression 0.075637 Akaike info criterion -2.024653 Sum squared resid 0.028604 Schwarz criterion -1.936998 Log likelihood 13.11094 Hannan-Quinn criter. -2.213813 F-statistic 14.59272 Durbin-Watson stat 2.267359

(20)

5 Sektor bangunan Dependent Variable: LNO5

Variable Coefficient Std. Error t-Statistic Prob.

C -9.083024 6.404151 -1.418303 0.2153

LNTK5 1.266579 0.421901 3.002078 0.0300

LNIG5 0.157672 0.049861 3.162227 0.0250

LNIS5 -0.032035 0.045946 -0.697243 0.5167

R-squared 0.868198 Mean dependent var 11.49211 Adjusted R-squared 0.789116 S.D. dependent var 0.188643 S.E. of regression 0.086629 Akaike info criterion -1.753262 Sum squared resid 0.037523 Schwarz criterion -1.665607 Log likelihood 11.88968 Hannan-Quinn criter. -1.942422 F-statistic 10.97854 Durbin-Watson stat 1.409524

Prob(F-statistic) 0.012227

6 Sektor perdagangan, hotel dan restoran Dependent Variable: LNO6

Variable Coefficient Std. Error t-Statistic Prob.

C -6.401133 5.270312 -1.214564 0.2788

LNTK6 1.062670 0.321688 3.303421 0.0214

LNIG6 0.226282 0.054224 4.173098 0.0087

LNIS6 -0.013886 0.022513 -0.616800 0.5644

R-squared 0.966345 Mean dependent var 12.53633 Adjusted R-squared 0.946152 S.D. dependent var 0.169285 S.E. of regression 0.039283 Akaike info criterion -3.334954 Sum squared resid 0.007716 Schwarz criterion -3.247298 Log likelihood 19.00729 Hannan-Quinn criter. -3.524114 F-statistic 47.85516 Durbin-Watson stat 1.887078

(21)

7 Sektor pengangkutan dan komunikasi Dependent Variable: LNO7

Variable Coefficient Std. Error t-Statistic Prob.

C -11.16761 3.302337 -3.381729 0.0196

LNTK7 1.144965 0.228055 5.020568 0.0040

LNIG7 0.476475 0.036856 12.92810 0.0000

LNIS7 0.041610 0.015082 2.758962 0.0399

R-squared 0.991965 Mean dependent var 11.50522 Adjusted R-squared 0.987145 S.D. dependent var 0.326239 S.E. of regression 0.036989 Akaike info criterion -3.455267 Sum squared resid 0.006841 Schwarz criterion -3.367611 Log likelihood 19.54870 Hannan-Quinn criter. -3.644427 F-statistic 205.7694 Durbin-Watson stat 3.492572

Prob(F-statistic) 0.000012

8 Sektor keuangan, persewaan dan jasa perusahaan Dependent Variable: LNO8

Variable Coefficient Std. Error t-Statistic Prob.

C 11.85505 3.809222 3.112198 0.0265

LNTK8 -0.086006 0.280789 -0.306300 0.7717

LNIG8 0.346747 0.060006 5.778532 0.0022

LNIS8 0.017258 0.015861 1.088102 0.3262

R-squared 0.908514 Mean dependent var 11.92222 Adjusted R-squared 0.853622 S.D. dependent var 0.183676 S.E. of regression 0.070273 Akaike info criterion -2.171748 Sum squared resid 0.024692 Schwarz criterion -2.084093 Log likelihood 13.77287 Hannan-Quinn criter. -2.360908 F-statistic 16.55106 Durbin-Watson stat 2.368201

(22)

9 Sektor jasa-jasa Dependent Variable: LNO9

Variable Coefficient Std. Error t-Statistic Prob.

C -4.084067 2.299357 -1.776178 0.1359

LNTK9 0.936403 0.148779 6.293910 0.0015

LNIG9 0.134441 0.034975 3.843876 0.0121

LNIS9 -0.049905 0.010600 -4.707929 0.0053

R-squared 0.986002 Mean dependent var 11.95167 Adjusted R-squared 0.977603 S.D. dependent var 0.139566 S.E. of regression 0.020887 Akaike info criterion -4.598275 Sum squared resid 0.002181 Schwarz criterion -4.510620 Log likelihood 24.69224 Hannan-Quinn criter. -4.787435 F-statistic 117.3963 Durbin-Watson stat 2.288838

(23)

Lampiran 6 PDB Indonesia menurut lapangan usaha (atas dasar harga konstan 2000) tahun 2000-2008 (miliar rupiah)

Lapangan Usaha 2000 2001 2002 2003 2004 2005 2006 2007 2008

1. Pertanian 216,831.5 223,891.5 231,613.5 240,387.3 247,163.6 253,881.7 262,402.8 271,586.9 284,337.8

2. Pertambangan dan penggalian 167,692.2 168,244.4 169,932.0 167,603.8 160,100.5 165,222.6 168,028.9 171,361.7 172,300.0

3. Industri pengolahan 385,597.9 398,323.8 419,387.8 441,754.9 469,952.4 491,561.4 514,100.3 538,077.9 557,765.6

4. Listrik, gas dan air bersih 8,393.8 9,058.3 9,868.2 10,349.2 10,897.6 11,584.1 12,251.1 13,525.2 14,993.7

5. Bangunan 76,573.4 80,080.4 84,469.8 89,621.8 96,334.4 103,598.4 112,233.6 121,901.0 130,815.7

6. Perdagangan, hotel dan restoran 224,452.2 233,307.9 243,266.6 256,516.6 271,142.2 293,654.0 312,520.8 338,945.7 363,314.0

7. Pengangkutan dan komunikasi 65,012.1 70,275.9 76,173.1 85,458.4 96,896.7 109,261.5 124,975.7 142,944.5 166,076.8

8. Keuangan, persewaan & jasa perusahaan 115,463.0 123,266.0 131,523.0 140,374.4 151,123.3 161,252.2 170,074.3 183,659.3 198,799.6

9. Jasa-jasa 129,753.8 133,957.5 138,982.4 145,104.9 152,906.1 160,799.3 170,705.4 181,972.1 193,700.5

Total 1,389,769.9 1,440,405.7 1,505,216.4 1,577,171.3 1,656,516.8 1,750,815.2 1,847,292.9 1,963,974.3 2,082,103.7

(24)

Lampiran 7 Jumlah tenaga kerja menurut lapangan usaha tahun 2000-2008 (jiwa)

Lapangan Usaha 2000 2001 2002 2003 2004 2005 2006 2007 2008

1. Pertanian 38,822,252 40,570,453 40,633,700 43,042,100 40,608,000 41,814,200 42,323,190 41,206,474 44,751,010

2. Pertambangan dan penggalian 851,905 783,213 631,800 732,800 1,034,700 808,800 947,097 994,614 967,423

3. Industri pengolahan 11,026,019 11,319,555 12,110,000 11,495,900 11,070,500 11,652,400 11,578,141 12,368,729 12,454,773

4. Listrik, gas dan air bersih 176,168 183,097 178,300 151,800 230,800 186,800 207,102 174,884 203,716

5. Bangunan 4,349,677 4,200,781 4,273,900 4,054,700 4,540,100 4,417,100 4,373,950 5,252,581 4,847,473

6. Perdagangan, hotel dan restoran 17,966,153 17,680,871 17,795,000 17,249,500 19,119,200 18,896,900 18,555,057 20,554,650 20,208,193

7. Pengangkutan dan komunikasi 5,258,719 4,926,803 4,672,600 4,939,700 5,480,500 5,552,500 5,467,308 5,958,811 5,866,795

8. Keuangan, persewaan & jasa perusahaan 1,113,645 1,117,481 991,700 1,306,500 1,125,100 1,042,800 1,153,292 1,399,490 1,290,575

9. Jasa-jasa 10,273,161 10,025,146 10,360,200 9,837,800 10,513,100 10,576,600 10,571,965 12,019,984 11,459,897

Total 89,837,700 90,807,400 91,647,200 92,810,800 93,722,000 94,948,100 95,177,102 99,930,217 102,049,857

(25)

Lampiran 8 Investasi pemerintah menurut lapangan usaha tahun 2000-2008 (miliar rupiah)

Lapangan Usaha 2000 2001 2002 2003 2004 2005 2006 2007 2008

1. Pertanian 4136.0 7159.6 8594.5 11587.3 12461.7 17731.5 29130.7 29621.7 33823.4

2. Pertambangan dan penggalian 53.5 88.3 105.4 134.7 146.6 199.1 331.6 324.4 350.1

3. Industri pengolahan 150.3 248.1 296.1 378.2 411.6 559.2 931.5 911.2 983.3

4. Listrik, gas dan air bersih 2628.8 4585.5 5509.6 7488.8 8039.8 11516.3 18883.1 19305.3 22209.2

5. Bangunan 4298.5 4727.6 6554.4 11521.9 11719.1 41505.7 53939.7 32868.9 36189.5

6. Perdagangan, hotel dan restoran 128.2 211.6 252.4 322.5 351.0 476.9 794.2 777.0 838.4

7. Pengangkutan dan komunikasi 5812.9 10247.3 12328.4 16942.8 18146.5 26226.5 42892.1 44166.2 51308.8

8. Keuangan, persewaan & jasa perusahaan 11.8 18.6 27.9 30.2 35.8 32.3 66.1 95.0 107.2

9. Jasa-jasa 7321.9 12087.3 14422.1 18424.5 20052.6 27242.0 45374.2 44389.1 47898.1

Total 24541.9 39373.9 48090.8 66831.0 71364.6 125489.4 192343.1 172458.8 193707.9

(26)

Lampiran 9 Investasi swasta menurut lapangan usaha tahun 2000-2008 (miliar rupiah)

Lapangan Usaha 2000 2001 2002 2003 2004 2005 2006 2007 2008

1. Pertanian 8,399.0 5,395.2 5,556.4 3,443.5 4,910.8 7,606.9 7,497.9 6,412.8 2,734.0

2. Pertambangan dan penggalian 59.4 2,443.0 1,244.3 903.5 1,278.3 1,924.9 909.5 3,609.4 2,277.3

3. Industri pengolahan 185,879.6 97,929.6 44,929.6 95,104.6 79,509.7 55,400.9 45,664.8 70,530.8 59,678.2

4. Listrik, gas dan air bersih 103.8 387.9 811.8 3,538.2 11,356.9 675.3 1,037.8 1,870.1 780.5

5. Bangunan 3,004.2 2,516.8 4,145.9 8,441.6 10,335.7 11,448.7 1,839.3 6,332.3 5,016.8

6. Perdagangan, hotel dan restoran 16,459.4 77,760.9 11,295.2 9,035.6 11,717.0 5,904.0 5,446.4 6,103.9 7,996.8

7. Pengangkutan dan komunikasi 13,686.2 5,424.7 36,322.6 37,238.1 7,336.3 29,604.5 7,062.7 31,417.9 83,101.0

8. Keuangan, persewaan & jasa perusahaan 3,119.5 6,142.1 68.4 88.6 3,154.9 2,094.5 2,336.7 607.5 1,695.9

9. Jasa-jasa 9,654.1 17,397.1 8,448.0 2,490.1 3,040.2 3,658.4 2,905.9 5,399.6 1,219.5

Total 240,365.3 215,397.4 112,822.2 160,283.7 132,639.7 118,318.1 74,700.9 132,284.3 164,499.9

(27)
(28)
(29)
(30)
(31)

Referensi

Dokumen terkait

karakter morfologi yang mungkin muncul pada tanaman generasi hasil mutasi. berikutnya, diharapkan apakah karakter yang muncul

Bahwa yang dimaksud dengan tinggi benda langit adalah busur pada lingkaran vertikal yang diukur dari titik perpotongan antara lingkaran horizon dengan lingkaran

“Effect of Capital Expenditures, Economic Growth and Poverty on Human Development in Central Kalimantan.” The International Organization of Scientific Research Journal of

Sebaliknya, saat g dan e sama dengan nol, maka bank sentral akan memiliki preferensi yang sama dengabn preferensi pemerintah dalam hal pengurangan inflasi; dan ini

[r]

Pengaruh berbagai komposisi media tanah : bokashi : cocopeat ( 50 : 25 : 25) berpengaruh nyata terhadap tinggi tanaman, jumlah daun, luas daun, bobot kering tanaman, diameter

2475 ต-อการศึกษาก็คือคณะราษฎรไดประกาศหลักนโยบาย 6 ประการ

Membongkar oposisi biner, yaitu dengan cara membalik oposisi biner—marginal jadi dominan, decentering, sous rature, dan pengubahan perpsektif; (benda-benda yang