Silviase/jgov_v1.4_full_ann huggingface dataset:
models. This choice of the number of lags is the same as that of Christiano, Eichenbaum, and Evans (1999, 2005) about the U.S. economy. Thus, our estimations assume four lags. We present estimates of the five-variable VAR(4) models in Section 5.

With regard to structure, there are three popular assumptions: unstructured VAR, full recursive VAR, and structured VAR. We adopt full recursive VAR in this paper. $ ^{5} $

#### 4.2. Recursive VAR model

A full recursive formulation is a popular method to introduce an interperiod structure (short-run restrictions) into a reduced VAR. We have to impose restrictions on interperiod correlation to identify the shocks to each variable.

When we estimate five-variable VAR, we need ten restrictions to identify them. The expression of our model emerges as follows. The simplest method to impose restrictions is by assuming a determinant order of variables.

$$ \begin{pmatrix}{{{1}}}&{{{0}}}&{{{0}}}&{{{0}}}&{{{0}}} \\{{{\alpha_{1}}}}&{{{1}}}&{{{0}}}&{{{0}}}&{{{0}}} \\{{{\alpha_{2}}}}&{{{\alpha_{3}}}}&{{{1}}}&{{{0}}}&{{{0}}} \\{{{\alpha_{4}}}}&{{{\alpha_{5}}}}&{{{\alpha_{6}}}}&{{{1}}}&{{{0}}} \\{{{\alpha_{7}}}}&{{{\alpha_{8}}}}&{{{\alpha_{9}}}}&{{{\alpha_{10}}}}&{{{1}}}\end{pmatrix}\begin{pmatrix}{{{G}}} \\{{{mp}}} \\{{{C}}} \\{{{I}}} \\{{{\pi}}}\end{pmatrix}=const.+A\begin{pmatrix}{{{G}}} \\{{{mp}}} \\{{{C}}} \\{{{I}}} \\{{{\pi}}}\end{pmatrix}+\begin{pmatrix}{{{\varepsilon_{t}^{G}}}} \\{{{\varepsilon_{t}^{mp}}}} \\{{{\varepsilon_{t}^{C}}}} \\{{{\varepsilon_{t}^{I}}}} \\{{{\varepsilon_{t}^{\pi}}}}\end{pmatrix} $$

where G is government spending; mp is proxies of the monetary policy; C, I, and $ \pi $ are real consumption and investment and inflation rate, respectively; A(L) and const. are lag operator and constant; and $ \varepsilon^{x} $ is the innovation of each parameter. None of these variables are serially correlated.

We assume that the fiscal and monetary policy affects real variables during the same period, but real block affects policy parameters only with lags. In addition, we assume that government spending is more exogenous than the monetary policy due to the policy-making process. We also assume that inflation is the most endogenous factor.

Because there are many alternative Cholesky orders, we have to estimate the other order VAR to check the robustness whenever we estimate recursive VAR. The implications of the estimation of alternative orders are similar to that of our assumptions.

#### 4.3. Sample Periods
Taking the structural change into consideration, we divide samples into four sub-periods. Using MCMC methods, Kamata and Sugo (2006) conclude that there was a structural change of policy rules around 1991. Miyao (2002) reports the possibility of a structural change around 1997. Therefore, we choose the following four sub-sample periods: (a) 1980:Q1–1991:Q4, (b) 1980:Q1–1996:Q4, (c) 1992:Q1–2006:Q1, and (d) 1997:Q1–2006:Q4.

As noted above, we have some difficulties in deciding the number of samples. As using the Baxter–King filter reduces the sample range, we perform type (c) estimation using the samples of 1992:Q1–2003:Q1, and do not estimate type (d). Furthermore, it is difficult to rationalize using call rate as the proxy of the monetary policy, since the short-term nominal interest rate in Japan has been changed by a small amount after 1997. Therefore, we do not estimate type (d) with call rate. Finally, we estimate 27 VAR models of our interest.

### 5. Estimation Results

In this section, we compare the impulse response functions (IRF) of VAR models, which we explained in the previous section. We concentrate on the responses of the consumption, the investment and the inflation rate from policy variables and try to find the commonalities across several alternative estimation strategies.

Figure 2 through $ 13^{6} $ report the responses of each variable from one S.D. innovation of policy variables. In each figure, (a) the blue lines are the IRFs of 1980:Q1–1991:Q4; (b) the pink lines are those of 1980:Q1–1996:Q4; (c) the orange lines are those of 1992:Q1–2006:Q1; and (d) the green lines are those of 1997:Q1–2006:Q4.

#### 5.1. Fiscal Policy

Figure 2 shows the IRFs of real consumption from the government spending shock with the short-term nominal interest rate as the proxy of the monetary policy. In the results of 80–91 sub-period (a) estimations, the government expenditure stimulated the consumption in three of four detrend methods. In sub-period (a), we find that the real consumption reacts positively to the positive government spending shock; however, in the responses of sub-period (b), only two of four detrending methods report a positive effect from the fiscal policy. The outstanding commonality of these IRFs is that the effect of the fiscal policy diminishes in the (c) and (d) sub-periods relative to (a) or (b).

Figure 3 depicts the IRFs of real consumption from the government spending shock with the
growth of the monetary aggregate as the proxy of the monetary policy. Whether the fiscal policy brings positive or negative reactions depends on the detrending methods; however, their quantitative effects decline and sometimes fall into negative in the (c) and (d) sub-periods.

Figure 4 reports the IRFs of real investment from the government spending shock with the short-term nominal interest rate as the proxy of the monetary policy. Same as the responses to the consumption depicted in figure 2, the effects of fiscal policies are gradually reduced and turn to negative as time goes by. In the detrended data via the Baxter–King filter, we find a positive reaction to the government spending shock in a previous half of 1990s, but this also drops into negative in a sub-period (c) estimation result. These tendencies are very similar to those in figure 5, which reports the IRFs with the growth rate of the monetary aggregate of the proxy of the monetary policy.

From these IRFs, we find that the robust inclination is the decline of the dynamic effects of the government expenditure policy shock. This is also pointed out by Kato (2003) and Watanabe et al. (2008). There are two possible explanations for this tendency. One is the Mundell–Fleming effect due to the reduction of the Japanese economy’s presence in the world economy. The other is the increase of the ratio of the so-called Ricardian household.

The Mundell–Fleming model, the textbook model for an open economy, suggests that fiscal policy never causes any reactions of real variables because of the appreciation of the exchange rate in the small open economy. $ ^{7} $ The Japanese economy became smaller and more open during the “lost decade” because of its low growth rate and the emergence of the developing countries and communist countries like China and Russia.

According to Gali et al. (2004, 2007), myopic or liquidity constrained consumers have gradually become a key assumption in the DSGE models. If the proportion of such consumers is high, the economy has more traditional Keynesian model-like features rather than the Neoclassical or the New Keynesian ones. However, our results suggest that the Japanese economy has Neoclassical or New Keynesian features with regard to the effects of fiscal stimulation. The deficits of the Japanese central and local governments have become 1.6 times as much as the GDP. This fact reminds many agents of the linkage between contemporary fiscal stimulation and future tax increases.

#### 5.2. Monetary Policy

As noted above, there are some severe difficulties in investigating the effect of monetary policy on the Japanese economy in recent years. The most striking problem is selecting the proxy for the monetary
policy. Typical contemporary macroeconomic models assume that the central bank tries to stabilize the economy by using the short-term nominal interest rate as a policy instrument. In Japan, however, the nominal interest rate hit its lowest level after the mid-1990s. Therefore, there have been several changes of monetary policy instruments. To overcome these problems, we use two different variables as the proxy for the monetary policy instruments: the short-term nominal interest rate and the monetary aggregate $ (M2 + CD) $ ^{8}

Figure 6 depicts the IRFs of real consumption from an increase of the nominal rate as the proxy of the monetary policy. There are some common features among the detrended data. One is that the influence of the monetary policy on consumption became earlier and shorter in the data period. For instance, the peaks of responses from the monetary policy are after quarter 7 in the (a) and (b) sub-periods and after quarter 2 in the (c) sub-period in the logged and quadratic detrended data. It is sometimes said that the influence of interest rate over real variables is weakened; however, we cannot find this tendency from these estimation results.

Figure 7 reports the IRFs of real consumption from an increase in the monetary aggregate as the proxy of the monetary policy. In the 1980s and the early 1990s, the additional money supply stimulates the consumption, as shown in textbook-style economics. However, these relationships disappear in the IRFs in the samples from the latter half of the 1990s and the 2000s. This might be a fine example of a liquidity trap a la Krugman (1998).

Figure 8 shows the IRFs of real investment from the tightening monetary policy shock with the short-term nominal interest rate as the proxy of the monetary policy. Three series except the logged one show the same tendencies as the consumption depicted in Figure 6. $ ^{9} $ Figure 9 presents the IRFs of real investment from the monetary policy shock with the monetary aggregate, and also expresses the shifting of the influence from money to real variables, as noted above.

The rationalizations of these findings are as follows: The changes of the nominal interest rate still influence real variables, but the zero lower bound of the nominal interest rate keeps us away from stimulation by cutting the interest rate. In other words, even in the latter half of the 1990s and the early 2000s, the increase of the interest rate fairly worsens the real economy.

#### 5.3. Price Puzzle

Figure 10 depicts the IRFs of the inflation rate from the government spending shock with the short-term nominal interest rate as the proxy of the monetary policy, and figure
11 shows the IRFs with the growth of the monetary aggregate as the proxy of the monetary policy.

Most estimated results suggest that the government spending shock accelerate inflation up through only 1 to 3 period. After that, government expenditure lowers the inflation rate, which is consistent with the traditional AD-AS model, where the expansion of the government spending causes upward shift of the AD curve and causes the inflation. Therefore, our results are completely different from traditional Keynesian models.

These results stem from the negative reactions of real variables as noted above. The positive fiscal stimulation causes the negative reactions of the real consumption and the real investment. It means that the fiscal policy do not cause the upward shifts of the AD curve, but the downward shifts. From these reasons, “the price puzzle” from the government spending shocks are not puzzle, but the ineffectiveness of the fiscal policy.

Figure 12 reports the IRFs of the inflation rate from a rise of the nominal rate as the proxy of the monetary policy and figure 13 describes the IRFs with the growth of the monetary aggregate as the proxy of the monetary policy.

Tightening monetary policy accelerate the inflation within 6 to 8 quarters. There are typical examples of “the price puzzle”. The possible explanation of these results is from the forward looking behavior of the monetary authority. When the central bank faces the future acceleration of the inflation rate, she tightens the monetary instruments. After that, the anxiousness of her becomes true but the effect of tightening monetary policy appears after 8 to 12 quarters because of the policy lags. These situations cause the price puzzle of earlier period. Therefore, the price puzzle of the monetary policy stems from the omitted variables which we didn’t include the theoretical and empirical models.

### 6. Concluding Remarks

We investigate the robust tendencies of contemporary Japanese economics and its macroeconomic policies by employing different detrending methods. We find three common features from the estimation results: First, we find a gradual decline in the influence of fiscal policy. Second, the impact of interest rate changes is not declining in the manner many economists believe. And, third, there has been a collapse of the linkage of monetary aggregates and real economy.

The first result suggests that the role of fiscal policy in stabilization must be reconsidered. It is difficult to use government funds to stimulate the economy when the government has a large deficit or the economy is facing global competition.
The second and third results as well as the existence of the lower bound of the nominal interest rate indicate that traditional monetary policy has lost its power in the deflation and stagnation era. We have to try and find other types of policies with the help of dynamic models.
## References

Bayoumi, Tamin (2001), “The Morning After: Explaining the Slowdown in Japanese Growth in the 1990s,” Journal of International Economics, No. 53, pp.241-259.

Baxter, Marianne and Robert G. King (1999), “Measuring business cycles: Approximate bandpass filters,” Review of Economics and Statistics, 81(4): 575-93.

Christiano, Lawrence J., Martin. Eichenbaum and Charles L. Evans (1999), “Monetary policy shocks: what have we learned and to what end?” in Handbook of Macroeconomics, vol. 1, chapter 2.

Christiano, Lawrence J., Martin Eichenbaum and Charles L. Evans (2005), “Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy,” Journal of Political Economy, 113(1), pp.1-45.

Christiano, Lawrence and Terry J. Fitzgerald (2003), “The bandpass filter,” International Economic Review, 44(2): 435-65.

Fernandez-Villaverde, J. and J. F. Rubio-Ramirez (2005), “Estimating Dynamic Equilibrium Economics: Linear versus Nonlinear Likelihood,” Journal of Applied Econometrics, 20, pp.891-910.

Gali, J., J. David Lopez-Salido and Javier Valles (2004), “Rule of Thumb Consumer and the Design of Interest Rate Rules,” Journal of Money, Credit and Banking, 36(4).

Gali, J., J. David Lopez-Salido and Javier Valles (2007), “Understanding the Effect of Government Spending on Consumption,” Journal of the European Economic Association, 5(1).

Harada, Yutaka and Yasuyuki Iida (2004), “Explaining Japan’s Great Stagnation: An Inquiry using Vector Auto Regression Models,” ESRI Discussion Paper No.123 (in Japanese).

Hodrick, Robert J. and Edward C. Prescott (1997) “Postwar US business cycles: an empirical investigation,” Journal of Money, Credit, and Banking, 29(1): 1-16.

Kamata, Koichiro and Tomohiro Sugo (2006), “Seisaku kinri zero seiyaku-ka ni okeru Kinyu Seisaku Kouka no Cyusyutsu,” Bank of Japan, Working Paper Series, No. 06-J-13 (in Japanese).

Kato, Ryo (2003), “Zaisei Seisaku Jyousu no Nichi-Bei Hikaku,” Bank of Japan, Working Paper Series, No. 03-J-4 (in Japanese).

Kuttner, Ken and Adam Posen (2001), “The Great Recession: Lessons for Macroeconomic Policy from Japan,” Brookings Papers on Economic Activity, No. 2, pp.93-185.

Krugman, Paul R. (1998), “It’s Baaack! Japan’s Slump and the Return of the Liquidity Trap,” Brookings Papers on Economic Activity, vol. 29, pp 137-206.

Kydland, Fin, E. and Edward C. Prescott (1982), “Time to Build and Aggregate Fluctuations,” Econometrica, 50, 1345-1370.
Miyao, Ryuzou (2002), “The Effects of Monetary Policy in Japan,” Journal of Money, Credit and Banking, Vol. 34, No. 2, May 2002.

Ono, Yoshiyasu (2006) “Fallacy of the Multiplier Effect: Correcting the Income Analysis,” ISER Discussion Paper No.673.

Pantula, Sastry G., Graciela Gonzalez-Ferias and Wayne A. E. Fuller (1994) “A Comparison of Unit-Root Test Criteria,” Journal of Business and Economic Statistics, 461-471.

Urasawa, Satoshi (2008) “Business Cycle Fluctuations in Japanese Macroeconomic Time Series,” Journal of the Asia Pacific Economy, forthcoming.

Sims, Christopher A., James H. Stock and Mark W. Watson (1990) “Inferences in Linear Time Series Models with Some Unit Roots,” Econometrica 58: 113-144.

Smets, Frank, and Raf Wouters (2003), “An Estimated Stochastic Dynamic General Equilibrium Model of the Euro Area,” Journal of European Economic Association, 1(5): 1123-1175.

Watanabe, Tsutomu, Tomoyoshi Yabu and Arata Ito (2008), “Seidojyoho wo Mochita Zaisei-Jyousu no Keisoku,” Hitotsubashi University, Understanding Inflation Dynamics of the Japanese Economy Working Paper Series No.28.
Figure1: Cyclical Components of logged real GDP
Figure 2: Responses of the consumption from the government spending (call rate)

Figure 3: Responses of the consumption from the government spending (M2+CD)
Figure 4: Responses of the Investment from the government spending (call rate)

Figure 5: Responses of the Investment from the government spending (M2+CD)
Figure 6: Responses of the consumption from the monetary tightening (call rate)

Figure 7: Responses of the consumption from the monetary easing (M2+CD)
Figure 8: Responses of the Investment from the monetary tightening (call rate)

Figure 9: Responses of the Investment from the monetary easing (M2+CD)
Figure 10: Responses of the inflation rate from the government spending (call rate)

Figure 11: Responses of the inflation rate from the government spending (M2+CD)
Figure 12: Responses of the inflation rate from the monetary tightening (call rate)

Figure 13: Responses of the inflation rate from the monetary easing (M2+CD)
平成25年度決算参照

# 平成25年度歳入決算明細書 平成25年度各省各庁歳出決算報告書 平成25年度一般会計国の債務に関する計算書 旧臨時軍事費特別会計歳入歳出整理額計算書 平成25年度決算調整資金の増減及び現在額計算書 平成25年度貨幣回収準備資金の増減及び現在額計算書

(第 187 回 国 会 提 出)
## 目次

平成25年度歳入決算明細書 ___ 1

## 平成25年度各省各庁歳出決算報告書

皇室费 67
国会所管 71
裁判所管 87
会计検査院所管 95
内阁所管 101
内阁府所管 113
総務省所管 181
法務省所管 219
外務省所管 251
財務省所管 275
文部科学省所管 305
厚生労働省所管 361
農林水産省所管 451
経済産業省所管 543
国土交通省所管 587
環境省所管 699
防衛省所管 …… 731
平成25年度一般会計国の債務に関する計算書 …… 753
旧臨時軍事費特別会計歳入歳出整理額計算書 …… 851
平成25年度決算調整資金の増減及び現在額計算書 …… 861
平成25年度貨幣回収準備資金の増減及び現在額計算書 …… 865
(参考)

コード番号について …… 869
( 1 )

平成25年度一般会計歳入決算明細書
平成25年度一般会计歳入決算明細書
歳 入 予 算 額	徵収決定歳額(円)	収納歳入額(円)	不納欠損額(円)	収納未歳歳入額(円)	歳入予算額と収納歳入額との差(△は減)(円)
当初予算額(円)	予算補正追加額予算補正修正減少額(△)	合 計(円)
92,611,539,328,000	6,817,369,331,0001,351,941,193,000	98,076,967,466,000	106,048,854,854,341	106,044,663,640,273	1,042,397,610	3,148,816,458	7,967,696,174,273
歳入決算部款項目別表
部・款・項・目	歳入予算額(円)	徵収決定歳額(円)	収納歳入額(円)	不納欠損額(円)	収納未歳歳入額(円)	歳入予算額と収納歳入額との差(△は減)(円)
1000-00租税及印紙収入	45,354,000,000,000	46,952,947,319,405	46,952,947,319,405	0	0	1,598,947,319,405
1100-00租税	44,252,000,000,000	45,826,878,252,117	45,826,878,252,117	0	0	1,574,878,252,117
1101-00所得稅	14,785,000,000,000	15,530,813,072,225	15,530,813,072,225	0	0	745,813,072,225
1101-01源泉所得稅	12,156,000,000,000	12,759,155,378,361	12,759,155,378,361	0	0	603,155,378,361
1101-02申告所得稅	2,629,000,000,000	2,771,657,693,864	2,771,657,693,864	0	0	142,657,693,864
1102-00法人稅
1102-01法人稅	10,065,000,000,000	10,493,717,924,435	10,493,717,924,435	0	0	428,717,924,435
1103-00相続稅
1103-01相続稅	1,495,000,000,000	1,574,335,824,303	1,574,335,824,303	0	0	79,335,824,303
1120-00消費稅
1120-01消費稅	10,649,000,000,000	10,829,300,620,888	10,829,300,620,888	0	0	180,300,620,888
1104-00酒稅
1104-01酒稅	1,347,000,000,000	1,370,852,118,776	1,370,852,118,776	0	0	23,852,118,776
1118-00たばこ税
1118-01たばこ税	991,000,000,000	1,037,547,530,170	1,037,547,530,170	0	0	46,547,530,170
1106-00揮発油税
( 4 ) 一般会計歳入決算明細書

部・款・項・目	歳入予算額(円)	徴収決定済額(円)	収納済歳入額(円)	不納欠損額(円)	収納未済歳入額(円)	歳入予算額と収納済歳入額との差(△は減)(円)
1106-01 揮 発 油 税	2,566,000,000,000	2,574,263,279,081	2,574,263,279,081	0	0	8,263,279,081
1107-00 石油 ガス 税
1107-01 石油 ガス 税	11,000,000,000	10,265,162,665	10,265,162,665	0	0	734,837,335
1117-00 航空機燃料税
1117-01 航空機燃料税	50,000,000,000	52,187,687,930	52,187,687,930	0	0	2,187,687,930
1154-00 石油 石油 炭 税
1154-02 石油 石油 炭 税	564,000,000,000	599,473,222,740	599,473,222,740	0	0	35,473,222,740
1123-00 電源開発促進税
1123-01 電源開発促進税	330,000,000,000	328,291,920,700	328,291,920,700	0	0	1,708,079,300
1116-00 自動車重量税
1116-01 自動車重量税	386,000,000,000	381,356,369,478	381,356,369,478	0	0	4,643,630,522
1114-00 関 税
1114-01 関 税	1,003,000,000,000	1,034,379,248,880	1,034,379,248,880	0	0	31,379,248,880
1115-00 と ん 税
1115-01 と ん 税	10,000,000,000	9,971,813,289	9,971,813,289	0	0	28,186,711
1124-00 地 価 税
1124-01 地 価 税	0	116,293,877	116,293,877	0	0	116,293,877
1150-00 旧 税
1150-01 旧 税	0	6,162,680	6,162,680	0	0	6,162,680
1200-00 印 紙 収 入
1201-00 印 紙 収 入	1,102,000,000,000	1,126,069,067,288	1,126,069,067,288	0	0	24,069,067,288
1201-01 収 入 印 紙	805,000,000,000	803,051,874,725	803,051,874,725	0	0	1,948,125,275
1201-02 現 金 収 入	297,000,000,000	323,017,192,563	323,017,192,563	0	0	26,017,192,563
3000-00 官業益金及官業収入
3200-00 官業収入	44,845,588,000	43,877,436,133	43,699,218,772	21,901,694	156,315,667	1,146,369,228
3201-00 病 院 収 入	17,434,042,000	15,825,271,413	15,711,300,861	2,142,740	111,827,812	1,722,741,139
3201-01 宮内庁病院収入	41,483,000	45,421,988	45,421,988	0	0	3,938,988
3201-04 国立障害者リハビリテーションセンター病院収入	1,082,554,000	757,500,119	756,005,458	0	1,494,661	326,548,542
一般会计嵌入决算明细书 (5)

部・款・項・目	歳入予算額(円)	徴収決定済額(円)	収納済歳入額(円)	不納欠損額(円)	収納未済歳入額(円)	歳入予算額と収納済歳入額との差(△は減)(円)
3201-05 国立ハンセン病療養所病院収入	235,608,000	9,004,711	9,004,711	0	0	△ 226,603,289
3201-02 防衛省病院収入	16,074,397,000	15,013,344,595	14,900,868,704	2,142,740	110,333,151	△ 1,173,528,296
3202-00 診療所収入
3202-01 国立知的障害児施設等診療所収入	6,133,000	8,262,289	8,207,769	0	54,520	2,074,769
3203-00 国有林野事業収入
3203-01 国有林野事業収入	27,405,413,000	28,043,902,431	27,979,710,142	19,758,954	44,433,335	574,297,142
4000-00 政府資産整理収入	197,555,181,000	327,735,177,365	327,679,055,213	47,424,239	8,697,913	130,123,874,213
4100-00 国有財産処分収入	94,556,961,000	136,346,954,742	136,338,256,829	0	8,697,913	41,781,295,829
4101-00 国有財産売払収入	71,126,961,000	85,623,266,735	85,614,568,822	0	8,697,913	14,487,607,822
4101-01 土地売払代	61,244,561,000	81,283,756,717	81,275,058,804	0	8,697,913	20,030,497,804
4101-02 立木竹売払代	258,840,000	217,719,174	217,719,174	0	0	△ 41,120,826
4101-03 建物売払代	137,612,000	696,644,758	696,644,758	0	0	559,032,758
4101-05 船舶売払代	272,494,000	383,888,700	383,888,700	0	0	111,394,700
4101-50 航空機売払代	1,116,281,000	1,357,831,153	1,357,831,153	0	0	241,550,153
4101-04 工作物売払代	1,173,000	21,395,330	21,395,330	0	0	20,222,330
4101-09 証券売払代	8,096,000,000	1,662,030,903	1,662,030,903	0	0	△ 6,433,969,097
4103-00 東日本大震災復興国有財産売払収入	23,430,000,000	50,289,685,007	50,289,685,007	0	0	26,859,685,007
4103-01 土地売払代	23,430,000,000	50,248,130,436	50,248,130,436	0	0	26,818,130,436
4103-03 建物売払代	0	41,554,571	41,554,571	0	0	41,554,571
4150-00 有償管理換収入
4150-01 有償管理換収入	0	434,003,000	434,003,000	0	0	434,003,000
4200-00 回収金等収入	102,998,220,000	191,388,222,623	191,340,798,384	47,424,239	0	88,342,578,384
4201-00 特別会計整理収入	45,420,370,000	123,299,267,075	123,299,267,075	0	0	77,878,897,075
4201-06 産業投資特別会計整理収入	18,192,886,000	18,192,885,997	18,192,885,997	0	0	△ 3
4201-11 国有林野事業特別会計整理収入	27,227,313,000	105,105,820,977	105,105,820,977	0	0	77,878,507,977
4201-03 貿易特別会計整理収入	158,000	548,101	548,101	0	0	390,101