MARGINAL PROPENSITY TO CONSUME Rumah tangga menerima pendapatan dari tenaga kerja dan modal yang mereka miliki, membayar pajak kepada pemerintah dan kemudian memutuskan berapa banyak dari pendapatan setelah pajak digunakan untuk konsumsi dan berapa banyak yang ditabung. Pendapatan yang diterima rumah tangga sama dengan output perekonomian Y, pemerintah kemudian menarik pajak dari rumah tangga sejumlah T. Pendapatan setelah dikurangi pajak, Y T, didefinisikan sebagai pendapatan disposabel (disposable income) atau pendapatan yang biasa dibelanjakan. Rumah tangga membagi pendapatan disposabelnya di antara konsumsi dan tabungan. Diasumsikan tingkat konsumsi bergantung secara langsung pada tingkat disposable income atau pendapatan disposabel. Semakin tinggi disposable income, semakin besar konsumsi. Hubungan antara konsumsi dan disposable income disebut fungsi konsumsi (consumption consumption). Kecenderungan mengkonsumsi marginal (marginal propensity to consume, MPC) adalah jumlah perubahan konsumsi ketika pendapatan disposabel (disposable income) meningkat satu dolar. Nilai MPC berkisar di antara nol dan satu: kenaikan pendapatan sebesar satu dolar akan meningkatkan konsumsi, tetapi peningkatannya akan kurang dari satu dolar. Jadi, jika rumah tangga memperoleh pendapatan tambahan sebesar satu dolar, mereka akan menabung sebagian dari pendapatan tambahan itu. Misalnya, jika MPC adalah 0,7, maka rumah tangga mengeluarkan 70 sen dari setiap dolar tambahan disposable income untuk barang dan jasa serta menabung 30 sen. Marginal propensity to consume dapat ditulis dalam persamaan : EMBED Equation.DSMT4 atau dapat ditulis EMBED Equation.DSMT4 dimana a adalah perubahan konsumsi dan b perubahan disposable income yang diproduksi oleh konsumsi. Di Indonesia, sejak tahun 2000 hingga tahun 2007, rata-rata prosentase konsumsi antara rumah tangga dan pemerintah sebesar 89,31 % dan 10,69%. Dengan rata-rata gross domestic product sebesar 2.344.244 miliar rupiah, didapat rata-rata marginal propensity to consume di Indonesia untuk periode 2000 2007 sebesar 0,72. Dengan kata lain, rata-rata penduduk dan Indonesia pada periode 2000 2007 mengeluarkan 72 persen atau sekitar 1.694.889 miliar rupiah dari pendapatan disposabelnya untuk barang dan jasa. Untuk lebih jelasnya dapat dilihat pada tabel dan grafik berikut ini. Tabel Marginal Propensity to Consume di Indonesia T Tahun 2000 2007 EMBED Excel.Chart.8 \s PAGE PAGE 1(FG+ ' 8 o =N .Mjlmno }njX)L hk`CJUVaJhk`CJaJ!jhk`hk`CJEHUaJ#j(L hk`hk`CJUVaJhk`hk`CJaJjhk`hk`CJUaJ hk`htHhtH htH6htHhtH6 htHhh~M5CJaJhhtH5CJaJh5CJaJ$ &'(GHI .mn_` $dha$gd $dha$gd $dha$gd dhgd$dh`a$gd $a$gd $a$gd OY'_` xpi_Y_Y_Y_ h0Jjh0JUhtHhjhUj.L hCJUVaJjhUhhCJaJ htHjC hhUhh5CJaJhh5CJaJ h6 h hk`6 hk`hk`CJaJjhk`hk`CJUaJ! j&hk`hk`CJEHUaJ" &`#$gd $dha$gd hhtHh h h0Jjh0JUh0JmHnHu6&P1 h:p. A! 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US$) 3Final consumption expenditure, etc. (constant LCU) 2Final consumption expenditure, etc. (current LCU) 2Final consumption expenditure, etc. (current US$) MFinance (% of managers surveyed ranking this as a major business constraint) SFinancial information infrastructure index (0=less developed to 10=more developed) Firing cost (weeks of wages) ;Fixed line and mobile phone subscribers (per 1,000 people) (Food exports (% of merchandise exports) (Food imports (% of merchandise imports) (Food production index (1999-2001 = 100) @Food, beverages and tobacco (% of value added in manufacturing) 2Foreign direct investment, net (BoP, current US$) 2Foreign direct investment, net inflows (% of GDP) :Foreign direct investment, net inflows (BoP, current US$) 3Foreign direct investment, net outflows (% of GDP) Forest area (% of land area) Forest area (sq. km) (Fuel exports (% of merchandise exports) (Fuel imports (% of merchandise imports) GDP (constant LCU) GDP (current LCU) GDP (current US$) +GDP deflator (base year varies by country) GDP growth (annual %) GDP per capita (constant LCU) 4GDP per capita, PPP (constant 2000 international $) .GDP per capita, PPP (current international $) JGDP per unit of energy use (constant 2000 PPP $ per kg of oil equivalent) )GDP, PPP (constant 2000 international $) #GDP, PPP (current international $) Investment in energy with private participation (current US$) @Investment in telecoms with private participation (current US$) AInvestment in transport with private participation (current US$) LInvestment in water and sanitation with private participation (current US$) Irrigated land (% of cropland) KLabor force participation rate, female (% of female population ages 15-64) GLabor force participation rate, male (% of male population ages 15-64) ILabor force participation rate, total (% of total population ages 15-64) 0Labor force with primary education (% of total) 2Labor force with secondary education (% of total) 1Labor force with tertiary education (% of total) -Labor force, female (% of total labor force) WLabor regulations (% of managers surveyed ranking this as a major business constraint) RLabor skills (% of managers surveyed ranking this as a major business constraint) Land area (sq. km) (Land under cereal production (hectares) ULegal rights of borrowers and lenders index (0=less credit access to 10=more access) Lending interest rate (%) ) Life expectancy at birth, female (years) 'Life expectancy at birth, male (years) (Life expectancy at birth, total (years) $Liquid liabilities (M3) as % of GDP !Listed domestic companies, total =Literacy rate, adult female (% of females ages 15 and above) 9Literacy rate, adult male (% of males ages 15 and above) ;Literacy rate, adult total (% of people ages 15 and above) 6Literacy rate, youth female (% of females ages 15-24) 2Literacy rate, youth male (% of males ages 1524) 4Literacy rate, youth total (% of people ages 15-24) -Livestock production index (1999-2001 = 100) "Long-term debt (DOD, current US$) 1Long-term unemployment (% of total unemployment) :Long-term unemployment, female (% of female unemployment) 6Long-term unemployment, male (% of male unemployment) FMachinery and transport equipment (% of value added in manufacturing) RMalaria prevention, use of insecticide-treated bed nets (% of under-5 population) @Malnutrition prevalence, height for age (% of children under 5) @Malnutrition prevalence, weight for age (% of children under 5) >Management time dealing with officials (% of management time) 0Manufactures exports (% of merchandise exports) 0Manufactures imports (% of merchandiseimports) &Manufacturing, value added (% of GDP) -Manufacturing, value added (annual % growth) /Manufacturing, value added (constant 2000 US$) *Manufacturing, value added (constant LCU) )Manufacturing, value added (current LCU) )Manufacturing, value added (current US$) 5Market capitalization of listed companies (% of GDP) 8Market capitalization of listed companies (current US$) "Merchandise exports (current US$) "Merchandise imports (current US$) Merchandise trade (% of GDP) -Micro, small and medium enterprises (number) 7Micro, small and medium enterprises (per 1,000 people) ;Military expenditure (% of central government expenditure) Military expenditure (% of GDP) #Military expenditure (current LCU) ,Military personnel (% of total labor force) Military personnel, total Mobile phone subscribers ,Mobile phone subscribers (per 1,000 people) 'Money and quasi money (M2) as % of GDP 3Money and quasi money (M2) to total reserves ratio (Money and quasi money growth (annual %) 8Mortality rate, adult, female (per 1,000 female adults) 4Mortality rate, adult, male (per 1,000 male adults) /Mortality rate, infant (per 1,000 live births) $Mortality rate, under5 (per 1,000) MMultilateral debt service (% of public and publicly guaranteed debt service) 'Net barter terms of trade (2000 = 100) 'Net capital account (BoP, current US$) )Net current transfers (BoP, current US$) 1Net current transfers from abroad (constant LCU) 0Net current transfers from abroad (current LCU) 0Net current transfers from abroad (current US$) "Net domestic credit (current LCU) 6Net errors and omissions, adjusted (BoP, current US$) (Net financial flows, IBRD (current US$) 'Net financial flows, IDA (current US$) 4Net financial flows, IMF concessional (current US$) 7Net financial flows, IMF nonconcessional (current US$) *Net financial flows, others (current US$) 4Net financial flows, RDB concessional (current US$) 7Net financial flows, RDB nonconcessional (current US$) !Net foreign assets (current LCU) Net income (BoP, current US$) &Net income from abroad (constant LCU) %Net income from abroad (current LCU) %Net income from abroad (current US$) 3Net incurrence of liabilities, domestic (% of GDP) 6Net incurrence of liabilities, domestic (current LCU) 2Net incurrence of liabilities, foreign (% of GDP) 5Net incurrence of liabilities, foreign (current LCU) ANet intake rate in grade 1 (% of official school-age population) INet intake rate in grade 1, female (% of official school-age population) GNet intake rate in grade 1, male (% of official school-age population) Net migration %Net taxes on products (constant LCU) $Net taxes on products (current LCU) $Net taxes on products (current US$) &Net trade in goods (BoP, current US$) 3Net trade in goods and services (BoP, current US$) #New businesses registered (number) ?Official development assistance and official aid (current US$) 5Official exchange rate (LCU per US$, period average) 3Ores and metals exports (% of merchandise exports) 3Ores and metals imports (% of merchandise imports) @Organic water pollutant (BOD) emissions (kg per day per worker) 5Organic water pollutant (BOD) emissions (kg per day) Other expense (% of expense) Other expense (current LCU) 8Other manufacturing (% of value added in manufacturing) Other taxes (% of revenue) Other taxes (current LCU) FOut-of-pocket health expenditure (% of private expenditure on health) "Patent applications, nonresidents Patent applications, residents $Permanent cropland (% of land area) -Persistence to grade 5, female (% of cohort) +Persistence to grade 5, male (% of cohort) ,Persistence to grade 5, total (% of cohort) Personal computers &Personal computers (per 1,000 people) Physicians (per 1,000 people) 1PM10, country level (micrograms per cubic meter) XPolicy uncertainty (% of managers surveyed ranking this as a major business constraint) "Population ages 0-14 (% of total)#Population ages 15-64 (% of total) *Population ages 65 and above (% of total) +Population covered by mobile telephony (%) 'Population density (people per sq. km) Population in largest city 7Population in the largest city (% of urban population) /Population in urban agglomerations > 1 million GPopulation in urban agglomerations > 1 million (% of total population) Population, female (% of total) ;Portfolio investment, bonds (PPG + PNG) (NFL, current US$) 0Portfolio 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Indonesia5,Total reserves (includes gold, current US$) I_ A~ A?A viwA v tAvuA !VA A Ap\A cASuIA%uzt,AZZA/ A$jA3AnXyAATA WA FAOAo&3tCAMVXAk$OAAJnA AA ,oB!HKB"P cB#R< B$~UeB%mz B&|gB'.=-IB(cB)'JwB*|)HVB+)mm,B,0fB-c_ B. B/ \1 B 0.. Indonesia-$Total reserves in months of imports .. .. .. . .. . .. . .. .. . .. . .. . .. . .. . .. .. .. .. .. .. .. .. .. ..G%X @ [Yb@UI@ @7 @ r @!*sF= @"Bey> @# @$k@KX:@TA=@Z@-"\ @%~k7 @&e : @'BQQr @(\@)in^@*kI1@+("o@,ScUZ.@-)g@ . .d@/8`O@ 0.. Indonesia1(Total reserves minus gold (current US$) zDAAf a?ZA AS A%uzAZK1A/jAriLA[AnX/AANCA qA ANmAMvEAAktA ./AAAtA@kPA A!H>B"IvB#tB$~O B%m- B&gB'j>B(zJ'B) B*|_B+ ) )m`B,0B-c_G B.uF B/b:B 0.. Indonesia&Total tax rate (% of profit) & .. .. .. . .. . .. . .. .. . .. . .. . .. . .. . .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. !.. ".. #.. $.. %.. &.. '.. (.. ).. *.. +.. ,.. -.. .../@@0 IndonesiaTrade (% of GDP) :@@7@ %@ :@ %@@R A@ p#9@ :@ _ts7@3@k .. .. .. . .. . .. . .. .. . .. . .. . .. . .. . .. .. .. .. .. .. .. .. .. ..J.@aa+@P P"@YLg1!@}*@n{@/JQ@ -R @~ r@ 5 @!$Ub @"h+@#"X'? @ $.. %.. &.. '.. (.. ).. *.. +.., iY:0@-PZ50@.TZc3@/t76@ c 0.. Indonesia>5Transport services (% of commercial service imports) > .. .. .. . .. . .. . .. .. . .. . .. . .. . .. . .. .. .. .. .. .. .. .. .. ..MD@"G:F@ E"I@4i|F@OTy?@pA@zUJA@ $ B@]Y[C@ "J"G@!H@"/F@#nC@$xA@% _B@&IiA@'U,@@($k?@)fei:@*Mi:@+nI8@, ">@-# v0@-jF!4@ $ 5@?de6@ 49@!!\N:@"e;@#>^@ %]@@&) )LB@'C@(@ A $ 7 SummaryInformation(DocumentSummaryInformation841Table RSummaryInformation( '\V.+,0 PXh px LebakChAIndonesia Development Indicator Chart1Worksheets ChartsOh+'0t[CfMS=O[b0 ,*~E.K0'l %p6b9.w%&c+Kr'cj}5D hW$?s/ o_GWxW;B):Ek x{tQ-u}Dlm tCv$bDXP%6cQ42gDy^dX\s\*+fi_ mU06c]Ub__u,ol^pc,yZYi.zcfXSR]:zcN#~rcq>Gs.s43/YZuKl}JW=;J{!R]{zc_/c3 7Rw[1>IY[;I\^$f^E=Ns~' c3QnX\ {$em\#q_qcz9r~-K~cqczcEE#9rU W_o `lJf 7p.u?(l Y@sh!%?|}JkuZU\i {|}E+#8SJY{'r7>w]Fq2}eP~%qU %r7>VqwV*n_R^qr=YsC9LAqr}r7>75 q8 ,{>T{8lw4^)#o?${ v51N bF\nFa1Nqs1N[ c1Nqs1N[ c1Nqs1N[ c1Nqs1N[ c1Nqs1N[ c1Nqs1N9N-jf*a1~B1akc6F|.cRn%I? 7;r+]r7`Rn%B 0nTJne[ 2q{;U)i?7grncyrgni/x|dK_}>Cg>a9aG1VCB=wrCIQ3tb`{8z1~yqAy,9t /nqW]u#3R]] }W-Y_]vW coo.T;L+aL\|;y s{;Ac[zhjO@3-!C; . 3KRO98y?vr\p3 Nx}}Y_+|hM} x1 6X1 ^9jSrL0 {Sr\ea 9"s| q3GUJv3G1od8=sx319_ZOMbF= )xvYWk2rvJ8]9=.S1o5) 8rr;qrr;c6# gxg _"`$ i .C'5XdMKuU7l7`< HT\dl dilm Silmilm NormalS S1lmMicrosoft Word 10.0@0 @FV@ oVuO.+,D.+,@hp DocumentSummaryInformation8&CompObjj Lebakn ATitleH 6> MTWinEqns FMicrosoft Word Document MSWordDocWord.Document.89q@@@NormalCJ_HaJmHsHtHDA@DDefault Paragraph FontRi@RDT Table Normal4 l l4 a (k@( No List4 @4F Footer!.)@. 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