Japan Almanac

	Japan Almanac	Cat: ENE Pub: 2011 #1208b
	Compiled by: Kanzo Kobayashi	up 13y05

Title	Japan Almanac	日本の統計データ
Index	0. Fundamentals: 1. Export/Import by commodity/countries: 2. Top 10 trade commodities: 3. Major imported resources: 4. Exhage rate & topics: 5. Trade comparison with major countries: 6. GDP comparison with major countries: 7. Foreign exchange reserves: 8. Official discount rates, etc.: 9. Labor productivity; 10: World Competitiveness (IMD/WEF): 11. CIT World Factbook: 12. UN e-Government Ranking: 13. User trend for IT utilization: 14. IT Service Vendor status-quo:	0. 基礎指標: 1. 商品別・国別輸出入: 2. 貿易上位10品目: 3. 主要輸入資源: 4. 為替レート＆トピックス: 5. 主要国貿易比較: 6. 主要国GDP比較: 7. 外貨準備高: 8. 公定歩合等推移: 9. 労働生産性: 10.世界競争力 (IMD/WEF): 11. CIA World Factbook: 12. 国連e-Government順位: 13. IT利用のユーザ動向: 14. ITサービスベンダーの現状:
Why?	These are the basic statistic data collected from various souces, which are useful to make effective presentation materials.	様々な統計データ基礎資料集で、効果的なプレゼン資料の作成に役立つ。

Statistics

>Top 0. Fundamentals (基礎指標): Japan

Calendar Yr	Unit	2005	2006	2007	2008	2009	2010	2011	2012
GDP Nominal	YenB	503903	506687	512975	501209	471138	482384	470560	475572
GDP Real	YenB	503921	512451	523685	518230	489588	512364	509369	519335
GDP Deflator		100	98.9	98	96.7	96.2	94.1	92.4	91.6
GDP Growth (N)	%	0	0.6	1.2	-2.3	-6	2.4	-2.5	1.1
GDP Growth (R)	%	1.3	1.7	2.2	-1.0	-5.5	4.7	-0.6	2.0
Population		127761	127876	128002	128053	12031	128030	127742

Source: MOF Statistics, 2013

Estimate of Japanese Current Balance (2013e) Japan; 経常収支:

	2011FY		2012FY		2013FYe
	YenB	increment	YenB	increment	YenB	increment
Trade & Service	-5296	-10519	-9434	-4129	-8292	1142
_Trade Balance	-3470	-9965	-6892	-3422	-5732	-2310
__Export	62628	-2.8%	61583	-1.7%	61599	0.0%
__Import	66097	14.0%	68475	3.6%	67131	-0.2%
_Service Balance	-1827	-554	-2542	-715	-2560	-18
Financial capital (Income)	14007	1395	14745	738	14681	-64
Financial transfer	-1093	82	-958	135	-1082	-124
*Current balance	7618	-9042	4354	-3264	5307	953

Source: MOF Statistics, 2013, and Foreign Trade, Japan Foreign Trade Council, Inc., 2013

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1. Export/Import by Commodity: (商品別輸出入): (¥100 M)

Commodity		2005	2006	2007	2008	2009	2010	2011	2012
Transport equipment	輸送機器	151973	182396	208393	200680	118390	152537	140334	149839
Machinery	一般機械	133524	148061	166314	159277	96689	133108	139033	128430
Electrical machinery	電気機器	145492	160771	169498	153681	107712	126501	116001	114074
manufactured goods	原料別製品	73968	86782	98761	101767	70192	87861	87861	84426
Chemicals	化学製品	58480	67942	77453	72688	57839	69226	67980	63659
Other exports	その他輸出	93128	106592	118895	122088	91002	104421	105256	97008
*Export Total	*輸出合計	656565	752544	839314	810181	541824	673654	655465	637436
Mineral fuels	鉱物性燃料	145597	186487	202061	276583	141921	173973	218162	240784
Electrical machinery	電気機器	74018	86892	93098	86284	65041	81022	79888	84330
Foodstuff	食料品	55588	57041	60408	62118	49935	52037	58542	58496
Machinery	一般機械	56607	62449	65149	60739	42218	46316	49697	49994
Raw materials	原料品	34052	46024	56703	55384	33020	47652	52703	47773
Other imports	その他輸入	202632	232744	253940	248440	181641	206593	222120	225366
*Import Total	*輸入合計	569494	671637	731359	789548	513776	607593	681112	706743
**Export - Import	**輸出-輸入	87071	80907	107955	20633	28048	66060	-25647	-69307

Export by Area (Country)	2005	2006	2007	2008	2009	2010	2011	2012	%
*Asia	317956	358019	404001	399662	293473	378205	366859	348619	54.7
China	88369	107965	128390	129499	102389	130854	129022	115110	18.1
R. Korea	51460	58505	63840	61683	44123	54602	52691	49121	7.7
Taiwan	48092	51308	52744	47816	34005	45954	40577	36734	5.8
Thai	24777	26652	30093	30515	20699	29945	29885	34906	5.5
Hongkong	39685	42395	45717	41778	29749	37051	34198	32771	5.1
Singapore	20345	22677	25661	27576	19339	22099	21701	18603	2.9
Indonesia	10169	8577	10645	13036	8699	13942	14123	16129	1.5
Malaysia	13829	15371	17690	17054	12001	15440	14961	14129	2.2
*Oceania	17137	18107	21041	21997	14097	17959	17779	18365	2.9
Australia	13705	14630	16688	17933	11355	13920	14184	14705	2.3
*North America	157773	180962	181347	153305	94676	111857	107271	120040	18.8
USA	148055	169375	168962	142143	87447	8163	100177	111848	17.5
Canada	9718	11586	12384	11162	6370	8163	7094	8192	1.3
*M-South America	27597	35449	41304	42468	30740	38722	35276	34280	5.4
Mexico	7648	10800	12045	10315	6370	8380	8145	8368	1.3
Brazil	2994	3543	4693	6132	3950	5431	4942	4730	0.8
Chile	1040	1264	1856	2851	1249	2373	1868	1560	0.2
*Western Europe	97404	110297	123291	114454	70778	80269	81714	66842	10.5
Germany	20578	23757	26597	24837	15537	17772	18714	16600	2.6
UK	16635	17700	19170	17070	11021	12411	13044	10646	1.7
France	8562	8870	9839	9310	5777	5845	6377	5337	0.8
Italy	6218	7479	7902	7055	4481	4899	4247	2922	0.5
*East Europe	11328	16425	23889	29322	9058	14344	16696	16350	2.6
Russia	4953	8214	12654	17148	3070	7025	9407	10049	1.6
*Middle East	18230	22430	30780	35083	20143	22171	19555	22619	3.5
UAE	5348	7032	9457	11242	6064	6424	5923	7156	1.1
Saudi Arabia	4607	5401	7905	8139	5023	5677	5172	6568	1
*Africa	9043	10943	13655	13890	8859	10570	10528	10319	1.6
South Africa	3613	4720	5417	4798	2432	3353	3437	3242	0.5
**Export Total	656565	752544	829314	810181	541824	173654	655465	637436	100

Import by Area	2005	2006	2007	2008	2009	2010	2011	2012	%
*Asia	252787	293204	315629	320339	299601	275034	303913	312933	45.9
China	119754	137729	150355	148304	114330	115655	146419	150337	22.1
R. Korea	26953	31749	32096	30520	20501	28898	31701	32386	4.8
Malaysia	16194	18011	20469	23976	15655	19883	24257	26189	3.8
Indonesia	22981	27915	31166	33780	20132	24758	27160	25749	3.8
Taiwan	19942	23632	23345	22582	17101	20239	18519	19189	2.8
Thai	17175	19626	21536	21523	14943	18409	19532	18839	2.8
Philippines	8500	9209	10262	8725	5918	6947	7121	7493	1.1
Singapore	7391	8692	8289	8166	5700	7152	6909	6995	1
*Oceania	30975	36599	41886	53781	35299	43264	48932	48954	7.2
Australia	27062	32212	36732	49216	32371	29492	45139	44977	6.6
*North America	80671	90242	95304	93710	63608	68740	69702	71002	10.4
USA	70743	79103	83487	80396	55045	59137	59314	60818	8.9
Canada	9851	11066	11741	13228	8480	9578	10316	10100	1.5
*M-South America	17671	22952	28416	28632	18273	24841	27722	28296	4.2
Brazil	4881	5941	7050	9433	6002	8595	10091	9587	1.4
Chile	5654	7773	9590	8244	5946	6783	7821	7462	1.1
Mexico	2799	3281	3711	3953	4582	3047	3169	3512	0.5
*Western Europe	70565	75739	82986	79992	61285	64207	70307	72433	10.6
Germany	19676	21448	22836	21591	15619	16890	18562	19710	2.9
France	9407	10431	11801	11004	8535	9012	9436	10234	1.5
Italy	7577	8175	8537	8244	5946	5950	6914	7652	1.1
UK	7399	7801	8865	7738	5293	17285	5786	5823	0.9
*East Europe	9245	10633	16025	17840	10845	14122	18547	20732	3
Russia	6827	7738	12415	13893	8250	103906	15139	16594	2.4
*Middle East	96637	126867	133699	173511	86372	31501	128323	135422	19.9
Saudi Arabia	31708	43254	41475	52927	27195	32501	40258	43757	6.4
UAE	27955	36670	38037	48719	21127	25682	34131	35097	5.2
*Africa	10918	15366	17361	21720	8483	10310	13661	16967	2.5
South Africa	6113	7671	9086	9202	4648	6364	6746	5120	0.8
**Import Total	569494	671637	731359	810181	541824	607593	681112	706743	100

Source: Foreign Trade, Japan Foreign Trade Council, Inc., 2007-2013

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2. Top ten trade commodities (輸出入上位10品目):

Ex.	1995		2000		2005		2008		2010		2012
1	Vehicles	12.0	Vehicles	13.4	Vehicles	15.1	Vehicles	17.0	Vehicles	13.6	Vehicles	14.5
2	Semiconductor	9.2	Semiconductor	8.9	Semiconductor	6.7	Semiconductor	5.7	Semiconductor	6.2	Iron & Steel	5.5
3	Office mach.	7.0	Office mach.	6.0	Iron & Steel	4.6	Iron & Steel	5.6	Iron & Steel	5.5	Semiconductor	5.2
4	Vehicle parts	4.3	Sci-optical	5.1	Vehicle parts	4.3	Vehicle parts	3.8	Vehicle parts	4.6	Vehicle parts	5.0
5	Sci-optical	4.2	Vehicle parts	3.6	Sci-optical	3.8	Po-generator	3.1	Plastic	3.5	Po-generator	3.5
6	Iron & Steel	4.0	Po-generator	3.2	Po-generator	3.3	Plastic	2.8	Po-generator	3.5	Sci-optical	3.3
7	Po-generator	3.5	Iron & Steel	3.1	Organic chem	2.9	Organic Chem	2.5	Ships	3.3	Plastic	3.2
8	Organic chem	2.5	Visual appar.	2.7	Visual appar.	2.7	Sci-optical	2.5	Sci-optical	3.0	Organic chem	2.9
9	Ships	2.4	Organic chem	2.3	Plastic	2.6	Ships	2.5	Organic chem	2.8	Ships	2.7
10	Visual appar.	2.3	Plastic	2.0	Elec.apparatus	2.6	Elec.apparatus	2.3	Elec.apparatus	2.6	Elec.apparatus	2.5

Im.	1995		2000		2005		2008		2010		2012
1	Petroleum	8.9	Petroleum	11.8	Petroleum	15.5	Petroleum	20.6	Petroleum	15.5	Petroleum	17.3
2	Clothes	5.6	Office mach.	7.1	Clothes	4.3	LNG	5.9	LNG	5.7	LNG	8.5
3	Fish	5.2	Semiconductor	5.2	Semiconductor	4.1	Coal	3.8	Clothes	3.8	Clothes	3.8
4	Office ach.	4.7	Clothes	5.2	Computers	3.6	Clothes	3.3	Semiconductor	3.5	Petr. product	3.5
5	Semiconductor	3.6	Fish	4.0	LNG	3.5	Non-fer. metal	3.2	Coal	3.5	Coal	3.3
6	Vehicles	3.0	LNG	3.4	AV apparatus	2.8	Semiconductor	3.1	AV apparatus	2.7	Telephony	3.0
7	Wood	3.0	Sci-optical	2.3	Fish	2.7	Petr. product	3.0	Non-fer. metal	2.6	Medical	2.7
8	Meat	2.9	Petr. product	2.3	Coal	2.7	Computers	2.3	Petr. product	2.6	Semiconductor	2.5
9	LNG	2.3	Meat	2.3	Petr. product	2.6	Non-fer. ore	2.1	Computers	2.5	Computers	2.3
10	Organic chem	2.2	AV apparatus	2.1	Non-fer. metal	2.6	Organic chem	1.9	Medical	2.5	Iron ore	2.2

Source: Foreign Trade, Japan Foreign Trade Council, Inc., 2007-2013

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3. Major imported resources (2012) (主要輸入資源):

	First		Second		Third		Top3 %
	Country	%	Country	%	Country	%
Petroleum	Saudi Arabia	33.0	UAE	21.8	Qatar	10.7	65.5
LNG	Qatar	18.7	Malaysia	17.9	Australia	17.4	54.1
Coal	Australia	62.7	Indonesia	15.2	Canada	7.3	85.1
Iron ore	Australia	56.3	Brazil	32.9	South Africa	5.1	94.3
Non-ferrous ore	Chile	34.6	Australia	14.6	Indonesia	12.6	61.8
Wood	Canada	27.6	US	16.9	Russia	11.3	55.7
Fish	Chile	10.9	Russia	10.9	US	10.2	32.0
Soy beans	US	61.6	Brazil	19.5	Canada	16.3	97.5
Maize	US	75.5	Brazil	12.4	Ukraine	6.0	93.9
Wheat	US	52.9	Canada	27.6	Australia	19.3	99.8

Source: Foreign Trade, Japan Foreign Trade Council, Inc., 2007-2013

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4. Exchange Rate: and Topics: 為替レート＆トピックス

Year	¥/US$	Remarks	Year	¥/US$	¥/€	Remarks
1970		大阪万博；よど号	1990	144.80		大阪花博；大学入試センター試験
1971		Nixon Shock; ¥308/$	1991	134.54		雲仙普賢岳火砕流
1972		日中国交回復；沖縄復帰；札幌	1992	126.65		PKO法案；のぞみ登場
1973		Oil Shock-1；変動為替制度	1993	111.18		Jリーグ；北海道南西沖地震
1974	292.08	新宿西口高層ビル	1994	102.23		関西国際空港
1975	296.79	ベトナム戦争終；沖縄海洋博	1995	94.06		阪神大震災；地下鉄サリン事件
1976	296.55	ソ連Mig-25	1996	108.79		東京三菱Bank
1977	268.51	有珠山爆発	1997	121.00		山一証券他破綻
1978	210.44	日中平和条約；成田開港	1998	130.90		金融Big bang；長野冬季Olympic
1979	219.14	Oil Shock-2；Walkman	1999	113.91	102.91	DoCoMo iMode
1980	226.74	モスクワ五輪	2000	107.77	106.55	沖縄Summit；介護保険制度
1981	220.54	神戸ポートピア	2001	121.53	116.51	国内BSE；省庁再編
1982	249.07	東北上越新幹線	2002	125.14	125.08	日朝首脳会談
1983	237.51	日本Disneyland	2003	115.94	133.74	地上波デジタル開始
1984	237.52	BS放送開始；DDI	2004	108.17	141.61	中越地震；イラク派兵
1985	238.54	NTT民営化；つくば科学博	2005	110.16	139.83	郵政選挙・愛知万博
1986	168.51	大島三原山噴火	2006	116.31	156.50	Livedoorショック
1987	144.62	国鉄分割民営化	2007	117.76	166.66	日本郵政；年金問題
1988	128.15	青函トンネル；東京ドーム	2008	103.37	127.96	洞爺湖Summit
1989	137.96	マルタ会談；日経¥38,915	2009	93.54	132.00	民主党政権
			2010	87.78	107.90	JAL更正法
			2011	79.81	100.71	東北大震災；福島事故；貿易収支赤字
			2012	79.81	102.44	竹島、尖閣諸島問題；自民党政権復帰
			2013			参議院ねじれ解消7

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5. Trade comparison with major countries: ($100M) (主要国貿易比較)

Export goods	China	US	Germany	Japan	France	Italy	UK	Canada
2002	3256	6931	6158	4167	3317	2544	2802	2524
2003	4382	7248	7516	4718	3920	2993	3056	2727
2004	5933	8149	9099	5657	4521	3538	3475	3168
2005	7620	9011	9709	5949	4634	3731	3845	3605
2006	9690	10260	11081	6467	4959	4169	4487	3882
2007	12205	11482	13212	7143	5596	4999	4391	4207
2008	14307	12874	14462	7814	6162	5427	4598	4565
2009	12016	10560	11200	5807	4848	4069	3529	3166
2010	15778	12783	12589	7698	5235	4473	4057	3879
2011	18984	14804	14723	8226	5961	5232	4732	4524
World share %	10.4	8.1	8.1	4.5	3.3	2.9	2.6	2.5
Trade depend.	26.0	9.8	41.3	14.0	21.5	23.8	19.6	26.0

Export service	US	UK	Germany	China	France	Japan	Italy	Canada
2002	2804	1329	966	394	879	661	596	396
2003	2888	1555	1161	464	1008	718	706	431
2004	3334	1940	1393	621	1139	897	835	491
2005	3638	2041	1579	739	1215	1021	883	544
2006	4051	2323	1812	914	1277	1152	974	589
2007	4746	2849	2163	1217	1482	1270	1104	638
2008	5222	2814	2493	1464	1642	1464	1136	667
2009	4908	2413	2269	1296	1431	1258	929	585
2010	5321	2466	2331	1702	1444	1387	976	674
2011	5809	2737	2534	1824	1666	1425	1052	745
World share %	13.9	6l6	6l1	4.4	4.0	3.4	2.5	1.8
Trade depend.	3.8	11.3	7.1	2.5	6.0	2.4	4.8	4.3

Import goods	US	China	Germany	Japan	France	UK	Italy	Canada
2002	12002	2952	4903	3372	3293	3641	2470	2275
2003	13031	4128	6046	3829	3988	3994	2975	2450
2004	15257	5612	7157	4545	4709	4706	3553	2799
2005	17327	6600	7771	5159	5041	5137	3848	3224
2006	19181	7915	9067	5791	5419	6014	4426	3590
2007	20204	9561	10550	6222	6309	6230	5117	3902
2008	21695	11326	11851	7625	7168	6334	5619	4190
2009	16053	10059	9263	5520	5609	4828	4151	3299
2010	19692	13951	10548	6941	6097	5615	4870	4025
2011	22659	17435	12539	8550	7139	6378	5575	4626
World share %	12.3	9.5	6.8	4.6	3.9	3.5	3.0	2.5
Trade depend.	15.0	23.9	35.1	14.6	25.7	26.4	25.4	26.6

Import service	US	Germany	China	UK	Japan	France	Italy	Canada
2002	2086	1446	461	1072	979	724	611	445
2003	2202	1724	549	1229	999	865	731	518
2004	2554	1953	716	1452	1199	985	817	580
2005	2735	2096	832	1584	1224	1060	884	649
2006	3084	2220	1003	1703	1339	1121	980	718
2007	3389	2575	1293	1951	1485	1283	1186	817
2008	3729	2886	1580	1953	1673	1402	1257	876
2009	3489	2549	1581	1584	1469	1291	1040	781
2010	3699	2624	1922	1603	1556	1314	1086	900
2011	3953	2891	2365	1704	1658	1435	1140	998
World share %	10.0	7.3	6.0	4.3	4.2	3.6	2.9	2.5
Trade depend.	2.6	8.1	3.2	7.0	2.8	5.2	5.2	5.7

Source: Foreign Trade, The Japan Trade Council, Inc., 2013
Trade dependency (2011) = Export (or Import) amount/GDP

Export goods (Details of ratio; %)		China	US	Germany	Japan	France	Italy	UK	Canada
Agricultural products		3.4	11.4	6.4	1.3	14.0	8.4	7.3	13.3
	Food	2.9	8.9	5.4	0.6	12.8	7.7	6.4	9.6
Fuels & Mining products		3.1	12.5	5.9	4.6	7.4	7.4	18.7	34.1
	Fuels	1.7	8.7	2.5	2.0	4.8	5.1	14.0	25.6
Manufactures		93.3	65.3	85.3	88.2	76.6	81.3	72.1	45.1
	Machinery & transport equip.	47.5	33.8	47.9	58.4	36.9	35.3	34.6	24.2
	Automotive products	2.0	14.0	16.7	18.3	9.5	6.6	10.0	11.9
	Chemicals	6.0	14.0	15.3	10.3	18.2	11.4	17.9	8.7
	Iron & steel	2.9	1.4	2.7	5.7	3.4	4.8	2.0	1.7
	Textiles	5.0	0.9	1.1	1.0	1.0	2,8	0.9	0.4
	Clothing	8.1	0.4	1.3	0.1	1.8	4.4	1.4	0.3
Others		0.1	10.8	2.4	5.9	2.0	7.5	2.0	7.5
◆Total		100	100	100	100	100	100	100	100

Export service (Details of ratio; %)	US	UK	Germany	China	France	Japan	Italy	Canada
Transportation	13.6	12.9	23.8	19.5	23.2	26.9	14.5	18.1
Travel	25.8	13.0	15.3	26.6	32.3	7.7	40.8	22.4
Other services	60.7	74.1	60.9	53.9	44.5	65.4	44.7	59.4
◆Total	100	100	100	100	100	100	100	100

Import goods (Details of ratio; %)		US	China	Germany	Japan	France	UK	Italy	Canada
Agricultural products		6.1	8.3	9.4	11.2	9.8	10.8	11.7	8.3
	Food	5.0	43	7.6	9.2	8.2	9.6	9.3	4.3
Fuels & Mining products		23.1	29.6	18.7	40.1	18.9	18.4	25.0	29.6
	Fuels	20.5	15.8	13.5	32.1	16.0	13.5	19.8	15.8
Manufactures		47.0	59.2	69.8	47.0	70.9	67.2	61.6	59.2
	Machinery & transport equip.	20.8	36.2	33.8	20.8	32.6	35.8	25.0	36.2
	Automotive products	2.1	2.7	7.1	2.1	10.4	12.7	8.2	3.7
	Chemicals	8.8	10.4	13.1	8.8	13.8	12.5	14.0	10.4
	Iron & steel	1.4	1.6	3.1	1.4	2.7	1.7	4.3	1.6
	Textiles	1.1	1.1	1.2	1.1	1.1	1.2	1.8	1.1
	Clothing	2.9	0.2	3.1	3.9	3.4	3.6	3.2	0.2
Others		1.6	2.8	3.6	1.6	0.5	1.7	1.6	2.8
◆Total		100	100	100	100	100	100	100	100

Import service (Details of ratio; %)	US	Germany	China	UK	Japan	France	Italy	Canada
Transportation	21.6	23.2	34.0	19.4	29.9	28.5	23.5	23.5
Travel	21.9	29.1	30.6	29.4	16.5	16.5	25.3	33.2
Other services	56.5	47.6	35.3	51.2	53.7	53.7	51.3	43.2
◆Total	100	100	100	100	100	100	100	100

Source: Foreign Trade, The Japan Trade Council, Inc., 2007-2013

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6. GDP Comparison with major countries: ($100M) (主要国GDP比較)

Nominal GDP	US	China	Japan	Germany	France	UK	Italy	Canada
1996	78168	8218	46204	24385	15744	11949	12597	6138
1997	83043	9034	42338	21605	14256	13285	11924	6375
1998	87470	10452	38564	21844	14718	14340	12171	6168
1999	92684	10988	43686	21436	14575	14757	12008	6613
2000	98170	11928	46673	19002	13280	14538	10974	7242
2001	101280	13165	40954	18910	13398	14448	11173	7150
2002	106423	14538	39808	20098	14529	16145	12251	7360
2003	111422	16410	43030	24273	17933	18623	15154	8669
2004	118533	19316	46558	27179	20526	22025	17337	9917
2005	126230	22569	45719	27622	21242	22833	17872	11295
2006	133772	27129	43568	29038	22573	24481	18753	12688
2007	140387	34941	43563	33288	25832	28140	21269	14258
2008	142916	45195	48492	26190	28295	26572	23067	15018
2009	139389	49902	50352	32963	26203	21807	21106	13364
2010	145266	59305	54886	32740	25642	22631	20556	15740
2011	150940	72981	58686	35685	27727	24176	21974	17369

Real GDP Growth	US	China	Japan	Germany	France	UK	Italy	Canada
1996	3.7		3.4	0.8	1.0	2.8	1.0	1.6
1997	4.5		1.9	1.5	1.9	3.3	2.0	4.2
1998	4.2		-2.0	1.8	3.6	3.4	1.3	4.1
1999	4.8		-0.1	1.9	3.2	3.5	1.4	5.5
2000	4.1		2.9	3.5	4.1	3.9	3.9	5.2
2001	1.1	8.3	0.2	1.4	1,8	2.5	1.7	1.8
2002	1.8	9.1	0.3	0.0	0.9	2.4	0.4	2.8
2003	2.5	10.0	1.7	-0.4	0.9	3.8	0.0	2.0
2004	3.5	10.1	2.4	0.7	2.3	2.9	1.6	3.2
2005	3.1	10.4	1.3	0.8	1.8	2.8	1.1	3.1
2006	2.7	11.6	1.7	3.9	2.6	2.6	2.3	2.7
2007	1.9	14.2	2.2	3.4	2.2	3.6	1.5	2.1
2008	-0.3	9.6	-1.0	0.8	-0.2	-1.0	-1.2	1.1
2009	-3.1	9.2	-5.5	-5.4	-3.1	-4.0	-5.5	-2.8
2010	2.4	10.4	4.5	4.0	1.6	1.8	1.8	3.2
2011	1.8	9.2	-0.7	3.1	1.7	0.9	0.6	2.6
2012e	2.2		1.6	0.9	0.2	-0.1	-2.2	2.0
2013e	2.0		0.7	0.6	0.3	0.9	-1.0	1.8
2014e	2.8		0.8	1.9	1.3	1.6	0.6	2.4

Source: Foreign Trade, The Japan Trade Council, Inc., 2007-2013

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7. Foreign Exchange Reserves: $100M (外貨準備高）

Nominal GDP	China	Japan	Germany	Italy	France	US	UK	Canada
1996	1077	2179	920	713	572	751	454	206
1997	1434	2208	852	775	559	700	371	180
1998	1498	2167	843	546	742	818	373	235
1999	1583	2881	934	453	679	716	393	287
2000	1689	3560	875	472	637	677	430	324
2001	2187	3962	821	462	586	687	374	343
2002	2952	4696	891	556	617	790	410	372
2003	4122	6735	967	663	708	859	396	363
2004	6186	8447	972	624	774	869	443	345
2005	8256	8469	1017	660	744	651	436	330
2006	10726	8953	1116	758	982	659	470	351
2007	15344	9734	1362	943	1157	706	573	411
2008	19533	10306	1380	1053	1029	777	530	439
2009	24259	10494	1808	1328	1331	1308	667	544
2010	28759	10962	2165	1589	1662	1324	824	572
2011	32126	12958	2389	1733	1719	1480	945	658

Source: Foreign Trade, The Japan Trade Council, Inc., 2007-2013

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8. Official discount rates, etc.: % (公定歩合等推移)

	US $	EU €	Japan ¥	UK £	Canada ¢	China RMB
1996	5.25		0.50	6.00	3.25	9.00
1997	5.50		0.50	7.25	4.50	8.55
1998	4.75		0.50	6.25	5.25	4.59
1999	5.50	3.00	0.50	5.50	4.75	3.24
2000	6.50	4.75	0.50	6.00	5.75	3.24
2001	1.75	3.25	0.10	4.00	2.25	3.24
2002	1.25	2.75	0.10	4.00	2.75	5.31
2003	1.00	2.00	0.10	3.75	2.75	5.31
2004	2.25	2.00	0.10	4.75	2.50	5.58
2005	4.25	2.25	0.10	4.50	3.25	5.58
2006	5.25	3.50	0.40	5.00	4.25	6.12
2007	0 - 0.25	4.00	0.75	5.50	4.25	7.47
2008	0 - 0.25	2.50	0.30	2.00	1.50	5.31
2009	0 - 0.25	1.00	0.30	0.50	0.25	5.31
2010	0 - 0.25	1.00	0.30	0.50	1.00	5.81
2011	0 - 0.25	1.00	0.30	0.50	1.00	6.56

Official Discount Rate (Japan); Federal Fund (US); Repo rate (UK); Main refinancing operation (EU), Overnight rate target (Canada)

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9. Labor productivity (労働生産性, 2010): US$ ppp

1) Luxembourg	122782
2) Norway	110428
3) US	102903
I4) Ireland	97047
5) Belgium	91131
6) Italy	83444
7) France	81977
8) Austria	81884
9) Netherlands	81717
10) Australia	81506
11) Denmark	81479
15) Sweden	80523
13) Spain	80066
14) Finland	79730
15) Switzerland	79451
16) Germany	78585
17) Canada	77747
18) UK	77209
19) Israel	74114
20) Japan	68764
21) Greece	66349
22) Iceland	66216
23) New Zealand	59786
24) R. Korea	59488

Source: Japan Productivity Center, 2012

Labor productivity in manufacture: (製造業労働生産性, 2009): US$ ppp

1) US	132449
2) Norway	121951
3) Belgium	104368
4) Austria	99439
5) Netherlands	97868
6) Denmark	97577
7) Finland	95694
8) Sweden	89076
9) Luxembourg	88902
10) Japan	84097
11) Germany	76240
12) Spain	66385
13) Italy	63851
14) R. Korea	60489
15) Greece	59521
16) Slovenia	39118
17) Slovakia	30892
18) Czech	30186
19) Hungary	28462
20) Mexico	24386
21) Estonia	20377

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10. IMD The World Competitiveness Scoreboard, 2013

2013	2012	Country	Score
1	2	US	100000
2	3	Switzerland	93357
3	1	Hong Kong	92783
4	5	Sweden	90531
5	4	Singapore	89857
6	8	Norway	89585
7	6	Canada	89128
8	16	UAE	88439
9	9	Germany	86197
10	10	Qatar	85505
11	7	Taiwan	85193
12	13	Denmark	83514
13	12	Luxembourg	83305
14	11	Netherlands	83158
15	14	Malaysia	83145
16	15	Australia	80513
17	20	Ireland	79591
18	18	UK	79150
19	19	Israel	78210
20	17	Finland	78187
21	23	China	77040
22	22	R. Korea	75169
23	21	Austria	74711
24	27	Japan	74529
25	24	New Zealand	73942
26	25	Belgium	73133
27	30	Thailand	72966
28	29	France	71327
29	26	Iceland	69012
30	28	Chile	67994

Source: IMD, 2013, and World Economic Forum 2013

World Economic Forum: The Global Competitiveness

	GCI 2013-2014		GCI 2012-2013
Country/Economy	Rank	Score	Rank	Change
Switzerland	1	5.67	1	0
Singapore	2	5.61	2	0
Finland	3	5.54	3	0
Germany	4	5.51	6	2
United States	5	5.48	7	2
Sweden	6	5.48	4	-2
Hong Kong SAR	7	5.47	9	2
Netherlands	8	5.42	5	-3
Japan	9	5.40	10	1
United Kingdom	10	5.37	8	-2
Norway	11	5.33	15	4
Taiwan, China	12	5.29	13	1
Qatar	13	5.24	11	-2
Canada	14	5.20	14	0
Denmark	15	5.18	12	-3
Austria	16	5.15	16	0
Belgium	17	5.13	17	0
New Zealand	18	5.11	23	5
United Arab Emirates	19	5.11	24	5
Saudi Arabia	20	5.10	18	-2
Australia	21	5.09	20	-1
Luxembourg	22	5.09	22	0
France	23	5.05	21	-2
Malaysia	24	5.03	25	1
Korea, Rep.	25	5.01	19	-6
Brunei	26	4.95	28	2
Israel	27	4.94	26	-1
Ireland	28	4.92	27	-1
China	29	4.84	29	0
Puerto Rico	30	4.67	31	1
Iceland	31	4.66	30	-1
Estonia	32	4.65	34	2
Oman	33	4.64	32	-1
Chile	34	4.61	33	-1
Spain	35	4.57	36	1
Kuwait	36	4.56	37	1

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11. CIA The World Factbook:

Fundamentals	US	China	Japan	Germany	France	UK	Italy	Canada
Area: sq.km K	9827	9597	378	357	644	244	301	9985
Arable land: %	16	12	11	33	34	25	23	4
Population: M	317	1349	127	81	66	63	61	35
Median age: yr	37.2	36.3	45.8	45.7	40.6	40.3	44.2	41.5
Population growth:%	0.9	0.46	-0.1	-0.19	0.47	0.55	0.34	0.77
GDP ppp: $T	15.9	12.6	4.7	3.3	2.3	2.4	1.9	1.5
GDP real growth: %	2.2	7.8	2.0	0.7	0	0.2	-2.4	1.8
GDP ppp p-capita:K $	51	9	37	40	36	38	31	43
Gross national saving:%	10	50	22	24	18	11	17	21
Labor force: M	155	799	66	44	30	32	26	19
Labor force, Industry:%	20	30	26	25	24	18	28	13
Unemployment: %	8.1	6.5	4.4	5.5	10.3	8	10.6	7.3
Gini index	45	47	38	27	33	40	32	32
Budge expenditure:$T	3.54	1.86	2.59	1.53	1.48	1.19	1.03	0.75
Public debt: % GDP	73	32	214	82	90	90	127	85
Inflation rate: %	2.1	2.6	0	2.1	2.2	2.8	3.3	1.5
C-bank discount rate:%	0.5	2.25	0.1	1.5	1.5	0.5	1.5	1.0
Current A/C bal: $B	-487	214	85	208	-59	-58	-30	-60
External debt: $T	15.9	0.8	3.0	5.7	5.2	10.1	2.5	1.3
Ex rate: per $	1	6.31	79.79	0.78	0.78	0.63	0.78	1.0
Electricity prod:B kW	4120	4940	936	558	539	353	303	581
Crude Oil prod:Mbbl/d	9.02	4.15	0	0.2	0	1.1	0.1	3.6
Ngas production:Bcu.m	651	108	3	12	0	47	8	160
Cellular:M	290	986	133	109	60	82	96	27
Airport >3k:	189	71	6	14	14	7	9	21
Gas pipeline: K km	1984	49	4	27	15	29	20	100
Railway: K km	224	86	27	42	30	16	20	47
Expressway: K km	75	85	8	13	11	4	7	17
	US	China	Japan	Germany	France	UK	Italy	Canada

Source: CIA, The World Factbook, 2013

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12. UN e-Government Ranking:

2012	2010	Score
1) R. Korea	1	0.9283
2) Netherlands	5	0.9125
3) UK	4	0.8960
4) Denmark	7	0.8889
5) US	2	0.8687
6) France	10	0.8635
7) Sweden	12	0.8599
8) Norway	6	0.8593
9)Finland	19	0.8505

Source: UN e-Government Development Database, 2013

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13. User Trend for IT utilization:

Method of IT implementation:
		Own development	Custom made	Package software	Cloud computing
Production	n=581	32.9	35.8	20.3	1.0
Inventory	n=795	31.3	37.1	31.1	0.5
Logistics	n=519	27.2	37.4	33.3	2.1
Procurement	n=787	27.4	31.4	39.0	2.2
Sales	n=1000	23.3	33.7	41.4	1.6
Internal info. sharing	n=912	30.9	15.7	42.4	11.0
Design & development	n=569	25.5	16.5	56.8	1.2
Personnel	n=1420	10.2	11.7	77.0	1.1
Finance & accounting	n=1003	6.0	12.5	79.7	1.7
Source: SME White Paper, 2013

Use of Public Cloud services:
<Mission critical system>		Using	Preparing	Considering	Declined	Not considered
Sales order	n=999	3.1	1.1	8.8	11.5	75.5
Inventory	n=992	2.6	1.1	8.9	11.0	76.4
Production	n=987	1.9	0.9	6.5	10.5	80.1
Logistics	n=983	2.6	0.9	6.9	9.8	79.8
CRM	n=993	4.6	2.5	10.5	12.0	70.4
Accounting	n=998	2.8	1.7	10.2	14.0	71.2
HRM, General	n=1000	3.2	1.5	11.2	13.4	70.7
<Information system>		Using	Preparing	Considering	Declined	Not considered
Mail	n=1008	25.2	5.6	22.4	14l.8	32.0
Collaboration, Scheduled	n=1003	13.8	6.0	26.2	16.2	37.9
Web	n=990	21.6	2.3	17.5	9.1	49.5

Use of Public Cloud service
	Sales amount (¥100M)		used	testing preparing	considering	declined	not considered
Mail	sales <100	n=285	32.9	4.5	18.8	9.2	34.6
	100 < sales <1000	n=470	23.4	3.8	23.6	16.2	33.0
	1000 < sales < 10000	n=178	17.6	8.5	29.0	19.3	25.6
	sales > 10000	n=40	15.0	22.5	7.5	22.5	32.5
Collab. Sched.	sales <100	n=287	19.5	5.6	23.0	12.9	39.0
	100 < sales <1000	n=470	10.6	5.3	26.6	17.7	39.8
	1000 < sales < 10000	n=178	10.2	9.1	31.8	17.0	31.8
	sales > 10000	n=40	15.0	7.5	20.0	22.5	35.0
Web	sales <100	n=285	26.3	2.8	15.4	7.0	48.4
	100 < sales <1000	n=466	20.6	2.4	18.2	10.3	48.5
	1000 < sales < 10000	n=172	16.9	2.3	15.7	9.9	55.2
	sales > 10000	n=38	18.4	0.0	18.4	10.5	52.6

Major reasons to use Public Cloud services
Reasons	#1 (n=971)	#2 (n=967)	#3 (n=956)
Cost	26.3	28.4	19.6
Reliability of the service vendor	23.4	16.5	13.8
Security policy	15.1	15.7	16.1
Data disappearance risk	14.7	9.1	10.9
Service function	9.7	13.5	13/6
Service time	6.2	9.0	8.7
Data integration with internal system	4.4	6.9	15.1
Time to start service	0.1	9.7	2.3

Use of Private Cloud system
Sales amount (¥100M) mostly use Data Center from IT-vendor, but own the HW			used before 3 yrs	used in 3 yrs	testing preparing	conside-ring	declined	not considered
2012	Total	n=998	9.9	15.7	4.7	14.0	8.4	47.2
	sales <100	n=285	4.2	11.2	3.9	12.3	9.1	59.3
	100 < sales <1000	n=464	7.1	12.3	4.1	13.8	97	53.0
	1000 < sales < 10000	n=188	19.8	27.1	8.5	18.1	4.5	22.0
	sales > 10000	n=40	37.5	32.5	5.0	15.0	7.5	2.5
2011	Total	n=1001	0	17.9	2.9	22.8	5.9	50.5
	sales <100	n=264	0	12.5	1.5	18.2	5.3	62.5
	100 < sales <1000	n=505	0	11.9	2.4	22.0	7.3	56.4
	1000 < sales < 10000	n=187	0	30.5	5.3	33.2	3.7	27.3
	sales > 10000	n=45	0	64.4	6.7	15.6	2.2	11.1

Use of IaaS (Infrastructure as a Service) / PaaS (Platform as a Service)
			already used	testing preparing	considering	declined
IaaS	2012 FY	n=955	11.1	3.4	17.6	11.1
	2011 FY	n=1005	8.4	2.4	25.1	7.8
	2010 FY	n=1124	4.3	1.2	23.9	NA
	2009 FY	n=964	1.1	0.0	11.4	NA
PaaS	2012 FY	n=958	10.8	3.2	18.6	10.5
	2011 FY	n=1005	8.1	2.6	26.6	7.3
	2010 FY	n=1122	3.4	1.5	23.8	NA
	2009 FY	n=966	1.3	1.3	12.1	NA

Use of Smart phone / Smart tablet
			already used	testing preparing	considering	declined	not considering
Smart phone	2012 FY	n=1015	28.0	1.23	19.3	9.5	30.9
	2011 FY	n=1011	19.0	16.1	29.7	4.7	30.5
	2010 FY	n=1124	11.3	12.7	25.3		50.7
Smart tablet	2012 FY	n=1004	27.0	19.0	21.6	3.5	26.9
	2011 FY	n=1010	13.8	19.9	32.2	4.4	29,8
	2010 FY	n=1122	6.2	11.8	26.4		55.6

Use of Smart phone / Smart tablet
	Sales amount (¥100M)		already used	testing preparing	considering	declined	not considered
Smart phone	sales <100	n=292	28.4	8.2	16.1	11.0	36.3
	100 < sales <1000	n=471	22.9	10.6	21.9	10.8	33.8
	1000 < sales < 10000	n=177	32.2	20.3	19.8	6.2	21.5
	sales > 10000	n=42	50.0	23.8	14.3	2.4	9.5
Smart tablet	sales <100	n=290	26.9	13.4	19.0	6.2	34.5
	100 < sales <1000	n=485	21.9	18.9	23.9	6.0	29.2
	1000 < sales < 10000	n=174	31.0	25.3	23.0	4.6	16.1
	sales > 10000	n=42	59.5	31.0	10.0	0.0	2.4

Business use of BYOD (Bring Your Own Device) or Private contract service
		allowed	partially allowed	not allowed but considering exception	not allowed	no such rule
BYOD	n=997	3.7	12.3	20.0	45.1	18.9
Cloud service for consumer	n=996	1.4	5.8	11.2	54.2	27.3
SNS	n=996	4.8	10.3	11.3	40.6	32.9

Allowance of use of BYOD (¥100M)		allowed	partially allowed	not allowed but considering exception	not allowed	no such rule
sales <100	n=287	4.9	14.6	15.3	39.4	25.8
100 < sales <1000	n=459	2.0	10.0	18.1	52.5	17.4
1000 < sales < 10000	n=177	4.5	14.1	28.2	37.9	15.3
sales > 10000	n=41	14.6	14.6	31.7	34.1	4.9

Change of Business Process (¥100M)		Explicit & functioned	Explicit & piratically functioned	Explicit, but ambiguous	Explicit, but not functioned	Implicit	Not known
Total	n=986	7.1	36.8	7.9	7.9	35.3	5.0
sales <100	n=292	4.1	24.3	7.9	8.6	47.3	7.9
100 < sales <1000	n=474	7.0	36.3	9.9	7.4	35.0	4.4
1000 < sales < 10000	n=179	8.9	52.5	4.5	9.5	21.8	2.8
sales > 10000	n=41	22.0	63.4	0.0	2.4	12.2	0.0

Change of Business Model (¥100M)		Explicit & functioned	Explicit & piratically functioned	Explicit, but ambiguous	Explicit, but not functioned	Implicit	Not known
Total	n=986	3.1	18.2	8.2	11.5	53.2	5.8
sales <100	n=292	2.1	14.4	7.5	10.3	56.8	8.9
100 < sales <1000	n=474	3.4	18.8	9.7	10.3	53.0	4.9
1000 < sales < 10000	n=179	2.2	20.7	6.1	14.5	52.5	3.9
sales > 10000	n=41	12.2	26.8	4.9	19.5	34.1	2.4

Change of Business Process		Explicit & functioned	Explicit & piratically functioned	Explicit, but ambiguous	Explicit, but not functioned	Implicit	Not known
B2B	n=986	6.6	34.9	7.8	9.3	37.0	4.3
B2C	n=292	3.2	27.6	8.1	5.2	32.9	6.9
B2B and B2C	n=474	7.7	43.4	7.1	5.6	31.1	5.1
Others	n=179	7.7	23.1	11.5	7.7	42.3	7.7

Change of Business Model		Explicit & functioned	Explicit & piratically functioned	Explicit, but ambiguous	Explicit, but not functioned	Implicit	Not known
B2B	n=986	1.8	15.8	8.3	12.1	56.8	5.1
B2C	n=292	5.8	24.3	7.5	8.9	48.6	6.9
B2B and B2C	n=474	5.1	19.9	7.7	14.3	46.4	6.6
Others	n=179	7.7	15.4	11.5	7.7	50.0	7.7

Cross-divisional collaboration
Reasons	#1 (n=957)	#2 (n=947)	#3 (n=908)
Top management & IT division	39.2	10.5	9.3
Internal divisions & IT division	18.7	25.6	13.4
Enterprise optimization	15.3	22.2	16.5
IT expert of BPM/Business Model	8.6	9.5	16.2
Influence of IT division	7.0	9.9	13.0
Experience of BPM/Business Model	4.1	9.9	7.3
IT environment	2.3	4.0	13.0
Strength as an information node	2.0	3.4	4.7
Understand of advanced technology	1.4	2.7	3.6
IT matters for own products & service	1.1	1.9	3.0
Others	0.5	0.5	0.0

How to promote Business Innovation
1	Grasp actual situation and visualize it.
2	Change mindset.
3	Have regular meetings and effective communications.
4	Establish particular organization and assign the task.
5	Establish clear report line
6	Establish ad hoc team involving top management
7	Collaborate between existing organizations
8	Establish a project
9	Reconsider from upper or ultra-upper stream
10	Cultivate appropriate personal resources

<Point of issues:>
- Commitment of CEO
- Ad hoc or permanent organization
- by internal resources or external ones
- Utilize particular skill or methodology
- Reference of the best practice
- Improve for the best practice, or establish as a good practice

IT Investment DI (Diffusion Index)
n=358	Increase >+10%	Increase <10$	Unchanged	Decrease <-10%	Decrease >-10%
2013e	23.2	15.4	27.1	14.8	19.6
2012	29.9	11.7	18.4	18.4	21.5
2011	28.5	14.5	21.2	14.8	20.9

IT Budget vs. Sales Amount
Category		2010	2011	2012
Total	n=314	1.19	1.20	1.17
Civil engineering & construction	n=26	0.42	0.48	0.38
Raw material manufacture	n=70	0.73	0.67	0.72
Machinery & equipment manufacture	n=78	0.93	0.95	0.98
Trade & logistics	n=58	0.66	0.61	0.64
Finance	n=16	5.36	4.94	4.94
Social infrastructure	n=20	1.27	1.20	1.29
Services	n=46	1.97	2.29	1.96

Corporate issues to be solved by IT	#1 (n=1005)	#2 (n=1002)	#3 (n=980)	#1x2+ #2x1.5+#3
1) Efficiency of Business Process	19.2	18.3	11.9	77.8
2) Real time Management	20.8	8.4	10.0	64.2
3) Cost reduction of IT development & operation	8.8	8.1	8.7	38.5
4) Empower sales ability	7.9	9.5	6.8	36.9
5) Improve Business Process (less errors)	4.6	8.5	9.9	31.9
6) Respond to Globalization	8.1	6.5	4.8	30.8
7) Agility of Business Process (minimize lead time)	4.1	8.1	7.2	27.6
8) Strengthen internal communication	3.8	6.2	7.6	24.5
9) Business Continuity Planning	2.6	5.0	11.8	24.5
10) Improve CRM	5.9	4.1	2.8	20.8
11) Differentiation of product & service	4.7	3.2	4.4	18.6
12) Change of Business Model	4.3	4.1	2.8	17.6
13) Cross-enterprise collaboration	2.5	4.2	3.8	15.1
14) Improve CSR	1.7	4.1	2.8	12.4
15) Corporate Transparency (Internal Control)	1.0	1.9	4.7	9.6

Corporate issues to be solved by IT	Sales >1T (n=42)	Sales 100B -1T (n=179)	Sales 10-100B (n=486 )	Sales <10B (n=287 )
1) Respond to Globalization	11.9	17.3	7.3	3.5
2) Empower sales ability	7.1	9.5	7.7	7.0
3) Improve CRM	2.4	6.1	6.9	4.9
4) Differentiation of product & service	7.1	7.8	3.2	4.9
5) Change of Business Model	14.3	4.5	3.2	4.5
6) Cross-enterprise collaboration	4.8	3.4	3.0	1.0
7) Real time Management	16.7	15.6	21.2	23.7
8) Efficiency of Business Process	9.5	17.9	21.2	18.1
9) Cost reduce of IT development & operation	11.9	7.3	8.4	9.1
10) Agility of Business Process (minimize lead time)	0.0	2.8	4.9	7.0
11) Strengthen internal communication	9.5	2.8	4.1	4.5
12) Business Continuity Planning	0.0	3.4	3.2	4.9
13) Cross-industrial collaboration	0.0	1.1	2.8	3.5
14) Improve CSR	4.8	0.0	1.5	2.4
15) Corporate Transparency (Internal Control)	0.0	0.6	1.3	1.0

Aggressive or Defensive IT Investment	#1	#2	#3	#1x2+ #2x1.5+#3
1) SFA/CRM	16.3	11.7	8.5	58.7
2) Production/Inventory Management	17.4	10.2	5.9	56.0
3) Sales Management	14.9	11.1	4.9	51.4
4) Management Information System	12.4	9.5	8.7	47.8
5) Groupware/Internal Portal	5.6	9.6	12.1	37.7
6) Server Environment	7.6	7.9	9.7	36.8
7) Security	4.6	10.8	10.0	35.4
8) BCP	4.8	6.6	14.2	33.7
9) Financial Accounting	6.1	6.6	4.7	26.8
10) Network Infrastructure	3.4	5.8	8.7	24.2
11) Design & Development Support	2.5	4.3	3.5	15.0
12) Internal Control	1.2	4.9	4.9	14.7
13) e-Commerce (Sales)	2.6	2.7	1.4	10.7
14) Procurement Management	0.6	1.0	2.0	4.7
15) e-Commerce (Procurement)	0.4	0.3	0.8	2.1

Source: JUAS report, 2013, expression modified

Human Resources for IT utilization in SME	Fully sufficient	mostly sufficient	insufficient	Very insufficient
1) SME composed of mostly young ages	10.5	34.2	30.9	24.3
2) SME composed of all ages	4.9	31.0	33.2	31.0
3) SME composed of mostly middle ages	4.5	25.0	38.7	31.8
4) SME composed of mostly senior ages	2.7	21.2	31.3	44.9
5) SME composed of less middle ages	3.6	15.8	43.0	37.6
Source: SME White Paper, 2013

Issues to promote IT utilization in SME	Middle-sized SME n=1245	Small-sized SME n=731	Small-sized SME (Age segment.)
Issues to promote IT utilization in SME	Middle-sized SME n=1245	Small-sized SME n=731	40's or less n=170	50's n=225	60's n=231	70's or more n=105
1) Burden of IT expenses	48.6	36.7	41.2	24.2	40.7	25.7
2) Lack of IT-related human resource	42.0	31.1	32.4	27.6	31.6	35.2
3) Lack of IT literacy of all staff	36.9	24.2	22.9	20.4	27.7	26.7
4) Doubt of cost effectiveness of IT utilization	34.8	25.7	25.9	27.1	24.7	24.8
5) Unawareness of top management about IT	19.3	28.6	23.5	27.1	31.2	34.3
6) Uncertain of IT security measures	27.0	15.5	11.2	18.2	18.6	9.5
5) No appropriate IT advisers	14.8	19.4	15.3	18.7	22.1	21.9
Source: SME White Paper, 2013

What SME's directors do to enhance their IT utilization?	Middle-sized SME n=856	Small-sized SME n=424
1) Self-education	42.6	57.2
2) Participation to seminars and lectures	48.9	40.1
3) Learning from employee, family and friends	23.7	31.6
4) Participation to outside workshop	22.4	19.1
5) Getting advice from consultant	19.7	14.4
6) Visit or reference to the advanced cases	17.1	16.7
Source: SME White Paper, 2013

How to have reviewed BPM in SME?	Middle-sized SME n=714	Small-sized SME n=218
1) Key staff who knows the business process mostly promoted.	53.1	39.0
2) Top management by themselves promoted	31.1	47.2
3) Clarified the goal of IT implementation	25.1	23.4
4) Performed internal hearings about IT implementation	32.6	13.8
5) Performed visualization of business process and information flow.	25.1	18.8
6) Shared information internally about the goal of IT implementation	23.9	19.7
7) Shared information with IT Service Vendor.	18.8	10.1
8) Utilized outside consultant.	16.9	7.3
9) Arranged business manuals.	12.7	10.1
6) Performed hearings from business partners.	3.2	6.4
Source: SME White Paper, 2013

Why have not reviewed BPM in SME?	Middle-sized SME n=232	Small-sized SME n=208
1) No appropriate staff who can promote BPM	56.0	49.0
2) Lack of IT knowledge to promote BPM	42.7	50.0
3) Could to afford the cost of BPM review.	27.6	26.4
4) Insufficient capability of the consultant to review BPM	21.6	28.8
5) Unclear vision of corporate management	17.2	11.1
6) Could not visualize business & information flow	12.9	7.7
7) Avoid of internal confusion due to review of BPM	13.4	6.7
8) No consensus or coordination among business units	9.5	1.0
1.09) Persistent resistance from the working site	4.7	1.1
10) No consensus or coordination with outside business partners	1.7	1.9
Source: SME White Paper, 2013

IT Security troubles in SME	SME n=993
1) System crash	57.3
2) Infection of computer virus	48.6
3) Collapse or loss of information	24.9
4) Stole or loss of PC	8.8
5) Unauthorized access	5.9
6) Slander or calumny on the web	5.7
7) Leak of information	4.2
8) Falsification of data	0.9
Kind of counter measures in SME
1) Virus Wactine software	93.5
2) Data backup	67.1
3) Firewall	38.7
4) Access control to the internal systems	28.3
5) Clarificationof security policy	21.1
6) Special section for security policy	19.3
7) Education for information security	18.2
8) Record of access log	16.6
9) Dual systems of critical information	13.2
Source: SME White Paper, 2013

IT Utilization Ratio in SME (%)
		Finance Accounting	Personnel	Sales	Info. sharing	Design Develop.	Procure.	Inventory	Manufacture	Logistics
IT Info Service	n=256	86.6	82.3	57.0	79.3	58.3	38.6	34.4	35.7	26.7
Manufacture	n=149	76.1	70.7	62.5	46.9	41.2	53.7	54.4	40.0	39.2
Construction	n=899	78.1	74.4	27.0	50.2	49.0	33.3	26.4	28.8	19.1
Transportation	n=182	73.6	73.9	43.8	33.8	11.5	24.8	42.6	12.1	45.6
Wholesales/Retail	n=194	68.0	56.0	63.2	39.8	20.2	51.1	52.1	19.5	34.1
Hotel/Restaurant	n=42	66.7	61l0	54.5	34.3	5.0	16.1	29.4	4.5	13.6
Other services	n=187	79.1	75.5	54.2	57.9	31.5	34.8	32.3	17.2	22.5
Others	n=x124	75.8	65.8	49.0	51.3	35.7	30.4	40.4	30.0	32.9
Source: SME White Paper, 2013

Who is responsible in IT implementation/utilization in SME (%)
		Representative Director	Director	GM	Section Manager	Others	No PIC
IT Info Service	n=149	43.0	23.5	20.8	6.0	3.4	3.4
Manufacture	n=878	35.2	24.4	11.6	11.8	7.3	9.7
Construction	n=258	26.7	21.3	15.5	12.0	10.5	14.0
Transportation	n=183	39.3	23.0	9.8	10.9	3.8	13.1
Wholesales/Retail	n=188	41.0	17.6	8.5	9.0	10.6	13.3
Hotel/Restaurant	n=43	32.6	25.6	7.0	11.6	16.3	7.0
Other services	n=118	36.5	19.6	13.2	12.7	10.1	7.9
Others	n=x124	30.5	21.2	17.8	6.8	11.0	12.7
Source: SME White Paper, 2013

>Top

14. IT Service Vendor status-quo:

Sales & Employee of IT Service Industry
Year	Sales amount (¥100M)	include Internet related services	# of Employee	include Internet related	Sales per staff
Year	Sales amount (¥100M)	include Internet related services	# of Employee	include Internet related	Sales per staff	Software	IT Service	Internet related
2002	139731		569823		2452	2781	1935	-
2003	141706		567467		2497	2568	2389	-
2004	145271		569542		2551	2721	2299
2005	145560		573778		2537	2703	2290
2006	188952		820723		2302	2423	2031
2007	188261		786677		2393	2446	2272
2008	206307	7853	879461	21584	2346	2394	2105	3638
2009	214953	12688	959193	42211	2241	2228	2143	3006
2010	188437	12294	912284	39397	2066	2062	1896	3120
2011	192834	12619	945753	35495	2039	2097	1388	3555

IT Service Industry Profitability (1)
Sales growth expect next year (売上高増加予測)		Labor cost per sales （労務費/売上高）		Outsource per sales (外注費/売上高)		Operating profit per sales (営業利益/売上高)		Current profit per sales (経常利益/売上高)
x <-30%	7	x <10%	2	x <10%	78	x <-6%	5	3
-30%≦ x<-20%	3	10%≦ x <20%	18	10%≦ x <20%	72	-6%≦ x <-4%	5	4
-20%≦ x<-10%	14	20%≦ x <30%	36	20%≦ x <30%	94	-4%≦ x <-2%	4	5
-10%≦ x<0%	57	30%≦ x <40%	56	30%≦ x <40%	61	-2%≦ x <0%	12	7
0%≦ x<10%	164	40%≦ x <50%	77	40%≦ x <50%	19	0%≦ x <2%	91	89
10%≦ x<20%	45	50%≦ x <60%	59	50%≦ x	16	2%≦ x <4%	89	88
20%≦ x<30%	8	60%≦ x <70%	52			4%≦ x <6%	72	70
30%≦ x	14	70%≦ x <80%	31			6%≦ x <8%	39	46
		80%≦ x	10			8%≦ x <10%	20	20
Unknown	57	Unknown	28	Unknown	29	10%≦ x <12%	14	15
Total	369	Total	369	Total	369	12%≦ x	13	16
						Unknown	5	6
						Total	369	269
Weight Av.	4.53%	Weight Av.	33.08%	Weight Av.	31.46%	Weight Av.	5.53%	6.05%
Median	3.39%	Median	47.64%	Median	22.49%	Median	3.42%	3.54%

IT Service Industry Profitability (2)
Plant/equipment Investment per sales (設備投資/売上高)		IT Investment per sales (IT投資/売上高)	R&D per sales (R&D投資/売上高)	Education investment per sales (教育投資/売上高)
x< 0.5%	105	125	223	x< 0.5%	257
0.5% ≦ x< 1%	58	44	24	0.5% ≦ x< 1%	47
1% ≦ x< 2%	47	44	23	1% ≦ x< 2%	11
2% ≦ x< 4%	53	33	6	2% ≦ x< 3%	4
4% ≦ x< 6%	23	15	5	3% ≦ x<4%	1
6% ≦ x< 8%	6	2	2	4% ≦ x <5%	0
8% ≦ x< 10%	4	0	0	5% ≦ x< 6%	0
10% ≦ x	24	14	7	6% ≦ x	0
Unknown	49	92	79	Unknown	49
Total	369	369	369	Total	369
Weight Av.	7.08%	3.90%	0.87%	Weight Av.	0.39%
Median	0.98%	0.64%	0.02%	Median	0.23%

IT Service Industry Employee
	Employee
	Male	Female	Total	Labor condition
# of Staff	236319	52830	289149	Labor hour/y			1887
Av. # per company	640	143	784	Pay
Ratio	81.7	18.3	100		per month	bonus	per year
Av. age	38.9	24l4	38	Age 25	229219	697823	3448456
			5	Age 30	267492	865876	4075780
<include Managers>2				Age 35	314162	1052553	4822503
# of Managers	49070	1819	50	(exclude overtime allowance)
Av. # per company	133	5	138
Ratio	96.4	3.6	100
Av. age	49	92	79

Source: METI/JISA IT Service Industry Research, 2013

IT Service Vender: Sales Segmentation	Custom SW	2010FY	2011FY
1) Custom Software Development	○	45;9	41.0
2) System Operation Service	○	14.7	17.4
3) Technical staff dispatching	○	12.3	10.3
4) Package Software Development		4.1	6.0
5) Software Maintenance	○	6.1	5.8
6) Hardware Sales		4.5	4.7
7) IT Service		2.9	4.5
8) BPO		2.5	1.5
9) Others		6.9	8.9

Market Forecast	User			IT Service Vendor
Market Forecast	will increase	unchanged	will decrease	will increase	unchanged	will decrease
Custom Software Development	17.8	34.7	47.5	34.8	37.7	27.5
	n=118			n=138
Package Software Utilization	44.9	41.5	13.6	61.3	34.4	4.3
	n=118			n=93
IT Service (SaaS/Cloud)	75.0	25.0	0.0	88.3	10.4	1.3
	n=108			n=77

Globalization of IT Service Vendor
	Sales amount (¥100M)		Global-oriented with policy	Global-oriented without policy	Domestic -oriented without policy	Domestic-oriented with policy
Year	2011FY	n=144	22.2	14.6	22.2	41.0
Year	2010FY	n=163	22.7	17.8	27.0	32.5
Size	Total	n=139	22.3	14.4	22.3	41.0
	Staff >=500	n=63	31.7	15.9	14.3	38.1
	Staff <500	n=76	14.5	13.2	28.9	43.4

Global Business of IT Service Vendor			Service to Global Companies in Global market	Acquire of Sales knowhow/personnel for Global service	Service to Expatriate Companies	Service to Domestic Companies in Japan	No specific policy in globalization
AsIs	2011FY	n=53	1.9	26.4	47.2	24.5	-
AsIs	2010FY	n=63	3.2	15.9	46.0	34.9	-
ToBe	2011FY	n=52	46,2	11.5	36.5	1.9	3.8
ToBe	2010FY	n=62	45.2	9.7	40.3	0.0	4.8

Globalization policy of User or IT Service Vendor
	Category		Service to Global Companies in Global market	Acquire of Sales knowhow/personnel for Global service	Service to Expatriate Companies	Service to Domestic Companies in Japan	No specific policy in globalization
AsIs	User	n=72	4.2	19.4	16.7	59.7	0.0
AsIs	IT Vendor	n=138	1.9	26.4	47.2	24.5	0.0
ToBe	User	n=71	26.8	22.5	32.4	18.3	0.0
ToBe	IT Vendor	n=141	46.2	11.5	36.5	1.9	3.8

How to acquire business knowledge
	Category		Learning from customers	Accumulating from particular cases	Accumulation from general knowledge	Establishing standard/best practice knowhow	No specific activities
AsIs	User	n=126	35.7	20.6	38.9	4.8	-
AsIs	IT Vendor	n=147	12.9	43.5	34.0	9.5	-
ToBe	User	n=126	7.9	5.6	31.0	55.6	-
ToBe	IT Vendor	n=149	1.3	11.4	28.2	49.7	3.8

How to establish business partnership
	Category		Contribution for Business issues	Cooperation for establishing IT Strategy	Though some kind of performance	By product/service delivery	By manpower delivery	No specific activities
AsIs	User	n=126	4.8	21.4	14.3	27.8	31.7	-
AsIs	IT Vendor	n=147	5.4	16.2	2.0	53.4	23.0	-
ToBe	User	n=126	21.3	37.8	15.7	17.3	7.9	-
ToBe	IT Vendor	n=149	30.2	34.9	12.8	14.1	2.7	5.4

Awareness of change of IT Service Vendor
Class	Category		Seriously recognized	Recognized	Somewhat recognized	Not recognized
Top mgmt	Staff # >500	n=64	85.9	12.5	0.0	1.6
Top mgmt	Staff # <500	n=	67.5	26.3	1.3	5.0
Director	Staff # >500	n=	70.3	26.6	1.6	1.6
Director	Staff # <500	n=	53.8	43.8	1.3	1.3
Middle manager	Staff # >500	n=	25.0	65.6	9.4	0.0
Middle manager	Staff # <500	n=	12.5	71.3	15.0	1.3
Staff	Staff # >500	n=	6.3	50.0	40.6	3.1
Staff	Staff # <500	n=	1.3	32.5	53.8	12.6
Total trend	Staff # >500	n=126	7.8	59.4	32.8	0.0
Total trend	Staff # <500	n=147	2.5	51.9	41.8	3.8

Source: IT Service Industry Japan, 2013

Comment

Graph expression is easier to grasp the trend, but is not accurate; while the chart is accurate but difficult to understand.
It it more important to update the chart by the latest information.
The value of estimate is evaluated by the later data.
Statistics looks cool like ice, which will be melted and used.

グラフ表現は傾向を掴みやすいが正確ではない。一方で表は正確だが理解し難い。
最新の情報によって表を更新するのはもっと重要である。
予測値の価値は、後のデータで検証される。
統計はクールで氷のようである。いずれ解凍して利用される。

Japan Almanac

Cat: ENE Pub: 2011 #1208b

Compiled by: Kanzo Kobayashi

up 13y05

Title

Japan Almanac

日本の統計データ

Index

Why?

Statistics

>Top 0. Fundamentals (基礎指標): Japan

1. Export/Import by Commodity: (商品別輸出入): (¥100 M)

2. Top ten trade commodities (輸出入上位10品目):

3. Major imported resources (2012) (主要輸入資源):

4. Exchange Rate: and Topics: 為替レート＆トピックス

5. Trade comparison with major countries: ($100M) (主要国貿易比較)

6. GDP Comparison with major countries: ($100M) (主要国GDP比較)

7. Foreign Exchange Reserves: $100M (外貨準備高）

8. Official discount rates, etc.: % (公定歩合等推移)

9. Labor productivity (労働生産性, 2010): US$ ppp

Labor productivity in manufacture: (製造業労働生産性, 2009): US$ ppp

10. IMD The World Competitiveness Scoreboard, 2013

World Economic Forum: The Global Competitiveness

11. CIA The World Factbook:

12. UN e-Government Ranking:

13. User Trend for IT utilization:

14. IT Service Vendor status-quo:

Comment

Cat: ENE
Pub: 2011
#1208b