䛄㒔ᕷ䞉ᆅᇦ䛾䜾䝻䞊䝞䝹➇தᡓ␎䛅᫬஦㏻ಙ♫䚸2019ᖺ᪥ᮏ䛾㒔ᕷᅪ

ฟᡤ䠖⥲ົ┬⤫ィᒁ䛂ᖹᡂ27ᖺேཱྀ㞟୰ᆅ༊඲ᅜᅗ䛃᪥ᮏ䛾୺せ㒔ᕷᅪSapporoFukuoka
Nagoya-Chukyo
Beppu

Sendai
Oita
Hiroshima

Tokyo-Kanto
Osaka-Kinki

http://maps.gsi.go.jp/#11/33.321062/131.688309/&base=std&ls=std%7Cdid2015&blend=0&disp=11&lcd=did2010&vs=c1j0h0k0l0u0t0z0r0s0f0&d=vl

Source: Ministry of Internal Affairs and Communications (2010) National Census᪥ᮏ䛾㒔ᕷᅪேཱྀ
JAPAN༓ே

40,00035,00030,00025,00020,00015,00010,0005,000
0ฟᡤ䠖World Urbanization Prospects 2018ୡ⏺ྛᅜ䛾㒔ᕷᅪฟᡤ䠖http://www.worldcitiestool.org/

ฟᡤ䠖https://ourworldindata.org/grapher/urban-and-rural-projections

Istanbul

Guangzhou, Guangdong

Kinshasa

TianjinRio de Janeiro

Lagos

ManilaKolkata (Calcutta)ୡ⏺䛾㒔ᕷேཱྀ᥎⛣䞉ண 䠄1950-2050䠅
BangkokLima

Chennai (Madras)

Jakarta

Bogotá

Paris

Bangalore

LahoreShenzhen

Moskva (Moscow)༓ே

Los Angeles-Long Beach-Santa Ana

ฟᡤ䠖World Urbanization Prospects 2018

Chongqing

Buenos Aires

Karachi

New York-Newark

Kinki M.M.A. (Osaka)

Dhaka

Beijing

Mumbai (Bombay)

Al-Qahirah (Cairo)

Ciudad de México (Mexico City)São Paulo

Shanghai

Delhi

Tokyo

ୡ⏺ྛᅜ䛾㒔ᕷᅪேཱྀ
40,000World

35,00030,00025,00020,00015,00010,0005,0000ୡ⏺㒔ᕷ/䜾䝻䞊䝞䝹䞉䝅䝔䜱䛸䛿ఱ䛛䠛ከᅜ⡠௻ᴗ䛾ᮏ♫䞉ᨭ♫䛾❧ᆅศᯒэୡ⏺㒔ᕷ䠄Primary/Secondary䠅ฟᡤ䠖GaWC Website
http://www.lboro.ac.uk/gawc/rb/rb301.html

ୡ⏺㒔ᕷ/䜾䝻䞊䝞䝹䞉䝅䝔䜱䛸䛿ఱ䛛䠛䛆 䝟䝖䝸䝑䜽䞉䝀䝕䝇 䛇䛂㐍໬䛩䜛㒔ᕷ䛃䠄䠍䠕䠍䠑ᖺ䠅э ⏘ᴗ㠉࿨ᚋ䛾ᕤᴗ໬䛾㐍ᒎ䛸ேཱྀቑຍ䛾୰䛷ᣑ኱䛩䜛䝻䞁䝗䞁䜢䛂ୡ⏺㒔ᕷ䛃䛸䛧䛶ᐃ⩏䛆 䝢䞊䝍䞊䞉䝩䞊䝹 䛇䛂ୡ⏺㒔ᕷ䛃䠄䠍䠕䠒䠒ᖺ䠅э 䝻䞁䝗䞁䛻䝟䝸䚸䝷䞁䝗䝇䝍䝑䝖䠄䜸䝷䞁䝎䠅䚸䝷䜲䞁䞉䝹䞊䝹䠄䝗䜲䝒䠅䚸䝙䝳䞊䝶䞊䜽䚸ᮾி䜢ຍ䛘䛯7䛴䛾㒔ᕷ䞉ᆅᇦ䜢䚸ୡ⏺ⓗ୰ᯡᶵ⬟䛜㐣ᗘ䛻㞟୰䛩䜛ୡ⏺
㒔ᕷ䛸つᐃ䛆 䝆䝵䞁䞉䝣䝸䞊䝗䝬䞁 䛇䛂ୡ⏺㒔ᕷ௬ㄝ䛃䠄䠍䠕䠔䠒ᖺ䠅эᅜቃ䜢㉺䛘䛯ປാຊ䛾⛣ື䛾Ⓨ⏕䚸ከᅜ⡠௻ᴗ䛻䜘䜛ᅜ㝿㈨ᮏ䛾㞟୰䞉㞟✚䜢ୡ⏺㒔ᕷ䛜ไᚚ䛩䜛䛣䛸䜢ᥦၐୡ⏺㒔ᕷ/䜾䝻䞊䝞䝹䞉䝅䝔䜱䛸䛿ఱ䛛䠛䛆 䝃䝇䜻䜰䞉䝃䝑䝉䞁 䛇
Global City 䠄䜾䝻䞊䝞䝹䞉䝅䝔䜱䠅䠄䠍䠕䠕䠍ᖺ䠅э䝙䝳䞊䝶䞊䜽䞉䝻䞁䝗䞁䞉ᮾி䛻䛴䛔䛶䚸㔠⼥ᴗ䛚䜘䜃㧗ᗘ䛺ᑓ㛛䝃䞊䝡䝇ᴗ䛜㧗ᗘ䛻㞟✚䛩䜛㒔ᕷ䜢䜾䝻䞊䝞䝹⤒῭䛾ྖ௧ሪ䛸䛧䛶䛾䜾䝻䞊䝞䝹䞉䝅䝔䜱䛸ᐃ⩏䛆 䝸䝏䝱䞊䝗䞉䝣䝻䝸䝎 䛇
Cities and the Creative Class 䠄䜽䝸䜶䜲䝔䜱䝤㒔ᕷㄽ䠅䠄䠎䠌䠌䠑ᖺ䠅э◊✲㛤Ⓨ䚸䝕䝄䜲䞁䚸㔠⼥䚸ἲᚊ䚸ᩍ⫱䛺䛹䛾▱㆑ປാ䜢ᢸ䛖䜽䝸䜶䜲䝔䜱䝤䜽䝷䝇䛸ྡ௜䛡䜙䜜䛯ᒙ䛜㒔ᕷ䛻䛚䛡䜛⤒῭ᡂ㛗䜢≌ᘬ䛆 䜶䝗䝽䞊䝗䞉䜾䝺䞊䝄䞊 䛇
Triumph of the Cities 䠄䠎䠌䠍䠎ᖺ䠅э㒔ᕷ䛣䛭䛜ே㢮᭱㧗䛾Ⓨ᫂䛷䛒䜚䚸ே䛸ே䛾䜲䞁䝍䝷䜽䝔䜱䝤䛺᥋ゐ䛜䜒䛯䜙䛩䜲䝜䝧䞊䝅䝵䞁䛜௒ୡ⣖௨㝆ୡ⏺䛾ᐩ䛾኱㒊ศ䜢ᙧᡂୡ⏺㒔ᕷ/䜾䝻䞊䝞䝹䞉䝅䝔䜱䛸䛿ఱ䛛䠛ேཱྀୡ⏺㒔ᕷ/䜾䝻䞊䝞䝹䞉䝅䝔䜱䛸䛿ఱ䛛䠛⤒῭⏕⏘䠄GDP䠅ୡ⏺ୖ఩40ᆅᇦ䠖ேཱྀ䝅䜵䜰18䠂 䠙GDP䝅䜵䜰66䠂ୡ⏺㒔ᕷ/䜾䝻䞊䝞䝹䞉䝅䝔䜱䛸䛿ఱ䛛䠛䜲䝜䝧䞊䝅䝵䞁䠄≉チ⏦ㄳ௳ᩘ䠅ୡ⏺ୖ఩40ᆅᇦ䠖ேཱྀ䝅䜵䜰18䠂 䠙䜲䝜䝧䞊䝅䝵䞁䝅䜵䜰86䠂㒔ᕷ䝅䝇䝔䝮䛸㒔ᕷ㛫䛾㝵ᒙᛶ• 㒔ᕷ䝅䝇䝔䝮䛿䚸」ᩘ䛾㒔ᕷ䛾⤖ྜ䠄Linkage䠅䛻䜘䛳䛶ᙧᡂ䛥䜜䜛• 㒔ᕷ䛿䛚஫䛔䛻⿵᏶䚸䛒䜛䛔䛿➇த䛩䜛• 㒔ᕷ䛾ᶵ⬟䛻ᛂ䛨䛯㝵ᒙ䠄Hierarchy䠅䜢ᵓᡂ䛩䜛• 㒔ᕷ䛿ᗎิ䠄Rank䠅䛵䛡䛥䜜䜛• 䜽䝸䝇䝍䝷䞊䠄Christaller, 1933䠅䛾୰ᚰᆅ⌮ㄽ¾ 㧗ḟ䛾㈈䜢౪⤥䛩䜛୰ᚰᆅ䛿䚸పḟ䛾㈈䜢౪⤥䛩䜛୰ᚰᆅ䜢ໟᦤ䛩䜛䚹䛧䛯䛜䛳䛶䚸᭱䜒㧗ḟ䛾㈈䜢౪⤥䛩䜛୰ᚰᆅ䛷䛿䚸䛒䜙䜖䜛㈈䛜౪⤥䛥䜜䜛䚹• ⸨⏣䞉௚䠄2000䠅䛂㧗ḟ䛾㒔ᕷ䛿పḟ䛾㒔ᕷ䛾䛺䛩䛣䛸䛿䛩䜉䛶䛺䛧䚸䛺䛚䛛䛴䛭䜜௨ୖ䛾䛣䛸䜢䛺䛩䛃㒔ᕷ䝅䝇䝔䝮䛸㒔ᕷ㛫䛾㝵ᒙᛶฟᡤ䠖ᯇཎ䠄1998䠅p.5䚹

୺せ㒔ᕷ䛻䛚䛡䜛⤒῭ⓗ୰ᯡ⟶⌮ᶵ⬟䛾≧ἣฟᡤ䠖㜿㒊䠄2004䠅p.56.

ᨭᡤᩘ䛻䜘䜛୺せ㒔ᕷ䛾㡰఩つᶍ᭤⥺䠄1950-2000䠅ฟᡤ䠖㜿㒊䠄2004䠅p.67.

୺せ௻ᴗᮏ♫䞉ᨭᡤ䛾㓄⨨䛻ᇶ䛵䛟᪥ᮏ䛾㒔ᕷ䝅䝇䝔䝮䠄2000䠅㒔ᕷ㛫䛾㝵ᒙᛶ䠄䝠䜶䝷䝹䜻䞊䠅ฟᡤ䠖㜿㒊䠄2004䠅p.108.

ୡ⏺㒔ᕷ◊✲䛻䛚䛡䜛㒔ᕷ㛫䛾㝵ᒙᛶ
䠄Friedmann, 1986䠅• ከᅜ⡠௻ᴗ䛾ᮏ♫䞉ᨭ♫䛾㞟✚䛻ᇶ䛵䛟䛂ୡ⏺㒔ᕷ䛃ฟᡤ䠖Friedmann (1986) p.71.

ୡ⏺㒔ᕷ◊✲䛻䛚䛡䜛㒔ᕷ㛫䛾㝵ᒙᛶ
䠄GaWC, 2002䠅• 㧗ᗘ䝃䞊䝡䝇௻ᴗ䠄఍ィ䞉ᗈ࿌䞉㖟⾜/㔠⼥䞉ἲᚊ䠅䛾❧ᆅ䞉䝛䝑䝖䝽䞊䜽ศᯒ䜢䜒䛸䛻䛂ୡ⏺㒔ᕷ䛃䛾㝵ᒙ䜢つᐃ
GLOBAL SERVICE FIRMS
ACCOUNTANCY ఍ィ
Arthur Anderson
Coopers & Lybrand
KPMG
Ernst & Young International
Price Waterhouse
ADVERTISING ᗈ࿌
Abbott Mead Vickers (BBDO)
DentsuDMB&B (MacManus Group)
Grey Worldwide
JWT (Thompson)
Lowe Howard -Spink
Ogilvy & Mather Direct
Worldwide
Publicis
Saatchi and Saatchi
TMP
Young & Rubiconฟᡤ䠖Taylor et al.䠄2002䠅pp.100-101䚹

BANKING AND FINANCE 㖟⾜/㔠⼥LAW ἲᚊ

ABN-AMRO
Barclays
BBV Group
Banker's Trust
Citibank
Compagnie Financiere de Paribas Sa
Credit Suisse
Creditanstalt-Bankverein
Dresdner Bank group
J P Morgan
HSBC
NatWest Group
Standard Chartered GroupUBS

Allen & Overy
Baker & McKenzie
Bryan Cave
Clifford Chance
Coudert Brothers
Dorsey & Whitney
Freshfields
Graham & James
Hogan & Hartson
Jones, Day, Reavis & Pogue
Leboeuf, Lam, Greene &MacRaeMiller, Canfield, Paddock, &Stone
Skadden Arps
Squire, Sanders & Dempsey
White & Case
Wilson, Elser, Moskowitz,
Edelman & Dickerୡ⏺㒔ᕷ◊✲䛻䛚䛡䜛㒔ᕷ㛫䛾㝵ᒙᛶ
䠄GaWC, 2002䠅• 㧗ᗘ䝃䞊䝡䝇௻ᴗ䠄఍ィ䞉ᗈ࿌䞉㖟⾜䞉ἲᚊ䠅䛾❧ᆅ䞉䝛䝑䝖䝽䞊䜽ศᯒ䜢䜒䛸䛻䛂ୡ⏺㒔ᕷ䛃䛾㝵ᒙ䜢つᐃฟᡤ䠖Taylor et al.䠄2002䠅pp.100-101䚹ୡ⏺㒔ᕷ◊✲䛻䛚䛡䜛㒔ᕷ㛫䛾㝵ᒙᛶ
䠄GaWC, 2012䠅ฟᡤ䠖http://www.lboro.ac.uk/gawc/world2012t.html

ᮾி䛾ୡ⏺㒔ᕷ໬ᨻ⟇
1986
1987

ᮾி䜸䝣䝅䝵䜰ᕷሙ㛤タᅜᅵᗇ䛄➨䠐ḟ඲ᅜ⥲ྜ㛤Ⓨィ⏬䛅 ᮾிᅪ䛾ୡ⏺㒔ᕷᶵ⬟䜢ᙉ໬

1989䝙䝳䞊䝶䞊䜽⾜ᨻ◊✲ᡤ 䛄ୡ⏺㒔ᕷᮾி䛾๰㐀䛅⤒῭௻⏬ᗇ 䛄ᮾி䛾ୡ⏺㒔ᕷ໬䛸ᆅᇦ䛾άᛶ໬䛅

1995
1996

ᮾி㒔 䛂ୡ⏺㒔ᕷ༤ぴ఍䛃୰ṆỴᐃ
㐠㍺┬䛄➨䠓ḟ✵ ᩚഛ஬⟠ᖺィ⏬䛅 ⩚⏣✵ 䞉ᡂ⏣✵ 䛾ᶵ⬟ᙉ໬

1998ᅜᅵᗇ䛄㻞㻝ୡ⣖䛾ᅜᅵ䛾䜾䝷䞁䝗䝕䝄䜲䞁䛅 ᆅᇦ䛾⮬❧䛾ಁ㐍䛸⨾䛧䛔ᅜᅵ䛾๰㐀

2000
2001
2002

ᮾி㒔 䛄ᮾிᵓ᝿㻞㻜㻜㻜䠖༓ᐈ୓᮶䛾ୡ⏺㒔ᕷ䛅ෆ㛶ᗓ㒔ᕷ෌⏕ᮏ㒊タ⨨ෆ㛶ᗓ䛄㒔ᕷ෌⏕ᇶᮏ᪉㔪䛅 㒔ᕷ䛾ᅜ㝿➇தຊ䛾ᙉ໬

2008
2009
2010
2011

ෆ㛶ᗓ䛄㒔ᕷ䛸ᬽ䜙䛧䛾Ⓨᒎ䝥䝷䞁䛅 ᅜ㝿➇தຊ䛾ᙉ໬䛸ᅜ㝿஺ὶ䛾᥎㐍ෆ㛶ᗓ䛄᪂ᡂ㛗ᡓ␎䠄ᇶᮏ᪉㔪䠅䛅 ኱㒔ᕷ䛾෌⏕䛸䛧䛶䛾ᅜ㝿➇தຊྥୖ
ᅜᅵ஺㏻┬䛄ᅜᅵ஺㏻┬ᡂ㛗ᡓ␎䛅 ኱㒔ᕷ䛾ᅜ㝿➇தຊ䛾ᙉ໬ෆ㛶ᗓ䛂ᅜ㝿ᡓ␎⥲ྜ≉༊䛃 ୡ⏺ⓗ䛻➇தຊ䛾㧗䛔༊ᇦ䛾ᩚഛ

2014
2015

ෆ㛶ᗓ䛂ᅜᐙᡓ␎≉༊䛃 ⏘ᴗ䛾ᅜ㝿➇தຊ䛾ᙉ໬
ᅜᅵ஺㏻┬䛄኱㒔ᕷᡓ␎䛅 㒔ᕷ෌⏕䛻䜘䜛ᅜ㝿➇தຊ䛾ᙉ໬ฟᡤ䠖ஂಖ㝯⾜䠄2019䠅䛄㒔ᕷ䞉ᆅᇦ䛾䜾䝻䞊䝞䝹➇தᡓ␎䛅ୡ⏺㒔ᕷ◊✲䛻䛚䛡䜛㒔ᕷ㛫䛾㝵ᒙᛶ
䠄GaWC, 2012䠅➨2㒔ᕷ௨ୗ
䛾㒔ᕷฟᡤ䠖http://www.lboro.ac.uk/gawc/world2012t.html

㒔ᕷ䛾ᅜ㝿➇தຊ䛾ᴫᛕᙧᡂ
2000ᖺ௦䡚• 䜰䝆䜰ᆅᇦ䛾ᛴ㏿䛺⤒῭Ⓨᒎ
¾ 䜰䝆䜰䛾㒔ᕷ䛾ୡ⏺㒔ᕷ䠄䜾䝻䞊䝞䝹㒔ᕷ䠅໬
¾ ᅜ㝿㒔ᕷ㛫➇த䛾⃭໬э• ᨻᗓ䛿ᮾி䛾ᅜ㝿➇தຊᙉ໬ᨻ⟇䛾᥎㐍
¾ 2001ᖺ䚸ᑠἨᨻᶒ䛻䛶䛂ᅜ㝿➇தຊ䛃䜢බᘧᩥ᭩䛻䛶ึ౑⏝¾ ᅜ㝿✵ 䞉 ‴ᙉ໬䚸㒔ᕷ෌⏕䚸ἲே⛯⋡⦆࿴䚸እ㈨⣔௻ᴗ䞉㧗ᗘேᮦㄏ⮴etc.
э• ᅜ㝿➇தຊ䜢つᐃ䛩䜛せᅉ䛿䜘䜚ከᵝ໬ᮾி䞉኱㜰䞉ྡྂᒇ䞉⚟ᒸ䛜ホ౯䛥䜜䛯2䛴䛾ୡ⏺㒔ᕷ䝷䞁䜻䞁䜾
Global Power City Index
䠄GPCI䠅
᳃グᛕ㈈ᅋ㒔ᕷᡓ␎◊✲ᡤ

Global Cities Competitiveness Index
䠄GCCI)
䜶䝁䝜䝭䝇䝖䞉䜲䞁䝔䝸䝆䜵䞁䝇䝴䝙䝑䝖

2䛴䛾䝷䞁䜻䞁䜾䛾ホ౯ศ㔝ẚ㍑• ⤒῭ศ㔝௨እ䛾୰ᯡ⟶⌮ᶵ⬟䜒ホ౯
GPCI

GCCI

ᣦᶆ⥲ᩘ 70ᣦᶆ⥲ᩘ 31⤒῭ 㻞㻟㻚㻜㻑⤒῭ຊ 㻟㻜㻑◊✲㛤Ⓨ 㻝㻝㻚㻡㻑ேⓗ㈨※ 㻝㻡㻑
ᩥ໬஺ὶ 㻝㻥㻚㻟㻑ᶵ㛵䛾ᙳ㡪ຊ
㻝㻡㻑ᒃఫ 㻝㻥㻚㻟

㔠⼥ᡂ⇍ᗘ 㻝㻜㻑䜾䝻䞊䝞䝹ッồᛶ 㻝㻜㻑⎔ቃ 㻝㻝㻚㻡㻑

≀ⓗ㈨ᮏ 㻝㻜㻑
⎔ቃ䞉⮬↛⅏ᐖ 㻡㻑♫఍ⓗ䞉ᩥ໬ⓗಶᛶ 㻡㻑

஺㏻䜰䜽䝉䝇 㻝㻡㻚㻠㻑ฟᡤ䠖᳃グᛕ㈈ᅋ㒔ᕷᡓ␎◊✲ᡤ䠄2014䠅pp.348-351䜘䜚➹⪅సᡂ䚹

Economist Intelligence Unit䠄2012䠅pp.32-35䜘䜚➹⪅సᡂ䚹

GPCI䛾ᵓ㐀
ྛᖹᆒⅬ䛾ྜィⅬ⤒῭
23.0%• 6ศ㔝䚸70ᶆ
䛻䜘䜚ホ౯

◊✲㛤Ⓨ
11.5%

ྛ
ศ
㔝
叏
ྜ
ィ
Ⅼ

ᩥ໬஺ὶ
19.3%

ᒃఫ
19.3%

⎔ቃ
11.5%

஺㏻䜰䜽䝉䝇

15.4%

ฟᡤ䠖᳃グᛕ㈈ᅋ㒔ᕷᡓ␎◊✲ᡤ䠄2014䠅pp.348-351䜘䜚➹⪅సᡂ䚹ྛᣦᩘ䛾ᖹᆒⅬྛᣦᶆ䜢ᣦᩘ໬ᕷሙ䛾つᶍ㻳㻰㻼䚸㻝ேᙜ䛯䜚㻳㻰㻼ᕷሙ䛾㨩ຊ㻳㻰㻼ᡂ㛗⋡䚸⤒῭⮬⏤ᗘ⤒῭㞟✚ドๆྲྀᘬᡤ䛾ᰴᘧ᫬౯⥲㢠䚸ୡ⏺䛾䝖䝑䝥㻟㻜㻜
௻ᴗ

ேⓗ㞟✚

ᚑᴗ⪅ᩘ䚸ᑐ஦ᴗᡤ䝃䞊䝡䝇ᴗᚑᴗ⪅ᩘ䝡䝆䝛䝇⎔ቃ㈤㔠Ỉ‽䚸ඃ⚽䛺ேᮦ☜ಖ䛾ᐜ᫆ᛶ䚸㻝ேᙜ䛯䜚䜸䝣䜱䝇㠃✚ἲつไ䞉䝸䝇䜽

ἲே⛯⋡䚸ᨻ἞䞉⤒῭䞉ၟᶵ䛾䝸䝇䜽◊✲㞟✚◊✲⪅ᩘ䚸ୡ⏺䝖䝑䝥㻞㻜㻜኱Ꮫ◊✲⎔ቃᩘᏛ䞉⛉Ꮫ䛻㛵䛩䜛Ꮫຊ䚸እᅜே◊✲⪅䛾ཷධែໃ䚸◊✲㛤Ⓨ㈝◊✲㛤Ⓨᡂᯝ

⏘ᴗ㈈⏘ᶒ䠄≉チ䠅䛾Ⓩ㘓ᩘ䚸୺せ⛉Ꮫᢏ⾡㈹ཷ㈹⪅ᩘ䚸◊✲⪅䛾஺ὶᶵ఍஺ὶ䞉ᩥ໬Ⓨಙຊ䝁䞁䝔䞁䝒㍺ฟ㢠䚸ᅜ㝿䝁䞁䝧䞁䝅䝵䞁㛤ദ௳ᩘ䚸ୡ⏺୺せ䛺ᩥ໬䜲䝧䞁䝖㛤ദ௳ᩘ㞟ᐈ㈨※䜰䞊䝔䜱䝇䝖䛾๰స⎔ቃ䚸䝴䝛䝇䝁ୡ⏺㑇⏘䚸ᩥ໬䞉Ṕྐ䞉ఏ⤫䜈䛾᥋ゐᶵ఍㞟ᐈ᪋タ๻ሙ䞉䝁䞁䝃䞊䝖䝩䞊䝹ᩘ䚸⨾⾡㤋䞉༤≀㤋ᩘ䚸䝇䝍䝆䜰䝮ᩘ

ཷධ⎔ቃ䝝䜲䜽䝷䝇䝩䝔䝹ᐈᐊᩘ䚸䝩䝔䝹⥲ᩘ䚸㈙≀䛾㨩ຊ䚸㣗஦䛾㨩ຊ஺ὶᐇ⦼እᅜேᒃఫ⪅ᩘ䚸ᾏእ䛛䜙䛾ゼၥ⪅ᩘ䚸␃Ꮫ
⏕ᩘ

ᑵᴗ⎔ቃ

᏶඲ኻᴗ⋡䚸⥲ປാ᫬㛫䚸ᚑᴗဨ䛾⏕ά‶㊊
ᗘ

ᒃఫ䝁䝇䝖

㈤㈚ఫᏯᖹᆒ㈤ᩱ䚸≀౯Ỉ‽Ᏻ඲䞉Ᏻᚰேཱྀᙜ䛯䜚ẅே௳ᩘ䚸⅏ᐖ䛻ᑐ䛩䜛⬤ᙅᛶ⏕ά⎔ቃ㻢㻜ṓ䛻䛚䛡䜛ᖹᆒవ࿨䚸ᆅᇦ䝁䝭䝳䝙䝔䜱䛾Ⰻዲ䛥䚸ேཱྀᙜ䛯䜚䛾་ᖌᩘ⏕ά฼౽ᛶேཱྀᐦᗘ䚸እᅜேᒃఫ⪅୍ேᙜ䛯䜚䛾እᅜேᏛᰯᩘ䚸ᑠ኎ᗑ⯒䛾඘ᐇᗘ䚸㣧㣗ᗑ䛾඘ᐇᗘ䜶䝁䝻䝆䞊㻵㻿㻻㻝㻠㻜㻜㻝ྲྀᚓ௻ᴗᩘ䚸෌⏕ྍ⬟䜶䝛䝹䜼䞊䛾ẚ⋡䚸䝸䝃䜲䜽䝹⋡ởᰁ≧ἣ㻯㻻㻞᤼ฟ㔞䚸㻿㻼㻹⃰ᗘ䚸㻿㻻䈻⃰ᗘ䞉㻺㻻䈻⃰ᗘ⮬↛⎔ቃỈ㉁䚸㒔ᚰ㒊䛾⥳⿕≧ἣ䚸Ẽᅜ㝿஺㏻䝛䝑䝖
䝽䞊䜽ᅜ㝿஺㏻䜲䞁䝣䝷
䜻䝱䝟䝅䝔䜱
㒔ᕷෆ஺㏻䝃䞊䝡䝇ᅜ㝿⥺┤⾜౽ᑵ⯟㒔ᕷᩘ 䚸ᅜ㝿⥺┤⾜㈌≀౽ᑵ⯟㒔ᕷᩘ䚸஺㏻฼౽ᛶ㒔ᚰ䛛䜙ᅜ㝿✵ 䜎䛷䛾䜰䜽䝉䝇᫬㛫䚸ேཱྀᙜ䛯䜚஺㏻஦ᨾṚஸ⪅ᩘ䚸䝍䜽䝅䞊㐠㈤ͤᩘ್%䛿⌮ㄽୖⓎ⏕䛩䜛ྛศ㔝䛾䜴䜵䜲䝖䛾ᛌ㐺ᛶᅜ㝿⥺᪑ᐈᩘ 䚸⁥㉮㊰ᮏᩘ
බඹ஺㏻䠄ᆅୗ㕲䠅䛾㥐ᐦᗘ䚸බඹ஺㏻䛾඘ᐇ䞉ṇ☜䛥䚸㏻໅䞉㏻Ꮫ䛾฼౽ᛶ䠄ྜィ70ᣦᶆ䠅GPCI-2012䛻䜘䜛3㒔ᕷ䛾ホ౯

49㒔ᕷ୰
• ᮾி
• ኱㜰
• ྡྂᒇ

4఩
17఩
41఩

ฟᡤ䠖᳃グᛕ㈈ᅋ㒔ᕷᡓ␎◊✲ᡤ䠄2013䠅p.107.

GPCI-2012䛻䜘䜛3㒔ᕷ䛾ホ౯ฟᡤ䠖᳃グᛕ㈈ᅋ㒔ᕷᡓ␎◊✲ᡤ䠄2013䠅GCCI䛾ᵓ㐀• 8ศ㔝䚸31ᣦᶆ䛻䜘䜚ホ౯30%ྛᣦᶆ䜢ᣦᩘ໬
ྡ┠GDP䠄25%䠅䚸୍ேᙜ䛯䜚GDP䠄10%䠅䚸ᖺ㛫ᾘ㈝1.4
୓䠁௨ୖ䛾ୡᖏᩘ 䠄10%䠅䚸ᐇ㉁GDP ᡂ㛗⋡䠄45%䠅䚸ᕷሙὶືᛶ䠄10%䠅

15%ேཱྀቑຍ⋡䠄12.5%䠅䚸⏕⏘ᖺ㱋ேཱྀ䠄8.3%䠅䚸䜰䞁䝖䝺䝥䝺䝘䞊䝅䝑䝥䠄25%䠅䚸ᩍ⫱Ỉ‽䠄33.3%䠅䚸་⒪Ỉ‽䠄8.3%䠅䚸እᅜேປാཧຍ⋡䠄12.5%䠅

15%㑅ᣲ䝥䝻䝉䝇䞉ከಙ᮲ᛶ(14.3%䠅 䚸⮬἞య䛾⤒῭⮬❧ᗘ䠄28.6%䠅䚸⛯ไ䠄14.3%䠅䚸つไ䠄14.3%䠅䚸ᨻᗓ䛾ຠ⋡
䠄28.6%䠅ྛᣦᶆ䛾ຍ㔜ᖹᆒⅬ

⤒῭ຊ
ேⓗ㈨※

ྛ
ศ
㔝
叏
ຍ
㔜
ᖹ
ᆒ
Ⅼ

ᶵ㛵䛾ᙳ㡪ຊ㔠⼥ᡂ⇍ᗘ10%㔠⼥䜽䝷䝇䝍䞊䛾ᗈ䛥䞉῝䛥䜾䝻䞊䝞䝹ッồᛶ10%䝣䜷䞊䝏䝳䞁500௻ᴗᩘ䠄20%䠅䚸ᅜ㝿⥺ᮏᩘ䠄20%䠅䚸ᅜ㝿఍㆟௳ᩘ䠄20%䠅䚸㧗➼ᩍ⫱䛾ᅜ㝿䝸䞊䝎䞊䝅䝑䝥
䠄20%䠅䚸ᅜ㝿ⓗ䛻᭷ྡ䛺䝅䞁䜽䝍䞁䜽ᩘ䠄20%䠅

≀ⓗ㈨ᮏ

䜲䞁䝣䝷䛾Ỉ‽䠄42.9%䠅䚸බඹ஺㏻䛾Ỉ‽䠄14.2%䠅䚸᝟
ሗ㏻ಙ䛾Ỉ‽䠄42.9%䠅

10%⎔ቃ䞉⮬↛⅏ᐖ5%♫఍ⓗ䞉ᩥ໬ⓗಶᛶ

5%ͤᩘ್%䛿ྛศ㔝䛾䜴䜵䜲䝖⮬↛⅏ᐖ䝸䝇䜽䠄33%䠅䚸⎔ቃ䜺䝞䝘䞁䝇䠄67%䠅
⾲⌧䛾⮬⏤䞉ேᶒ䠄20%䠅 䚸㛤ᨺᛶ䞉ከᵝᛶ䠄20%䠅䚸≢⨥
䠄20%䠅䚸ᩥ໬άᛶᗘ䠄40%䠅
ͤᩘ್%䛿ྛᣦᶆ䛾䜴䜵䜲䝖ฟᡤ䠖Economist Intelligence Unit䠄2012䠅pp.32-35䜘䜚➹⪅సᡂ䚹

GCCI-2012䛻䜘䜛3㒔ᕷ䠄ᅪ䠅䛾ホ౯120㒔ᕷ୰
• ᮾி
6఩
• ኱㜰
47఩
• ྡྂᒇ 50఩ฟᡤ䠖Hot spots. Benchmarking global city competitiveness䚸p.25

䠄ྜィ31ᣦᶆ䠅

2䛴䛾䝷䞁䜻䞁䜾䛾ホ౯⤖ᯝẚ㍑䠄೫ᕪ್䠅• ᡓ␎ⓗ䛺㝵ᒙୖ᪼䜢┠ᣦ䛩䜉䛝
80
London
New York
Paris
Tokyo

70

y = 0.7369x + 13.064
R² = 0.5392

60
Seoul
Amsterdam

BerlinSingapore

Hong Kong

ViennaSydneyBeijingFrankfurt
BarcelonaStockholm
ZurichCopenhagen
Brussels Madrid Toronto
Los Angeles
VancouverIstanbul
Geneva Boston
Chicago
Milan
Washington D.C.
San Francisco
Fukuoka
Taipei
Kuala Lumpur
Bangkok
Mexico City
NagoyaMoscow

GPCI

Shanghai

Osaka

50

40

Sao Paulo
MumbaiCairo

30➨2㒔ᕷ௨ୗ
䛾㒔ᕷ

20
20

30

40

50

60

80

70

GCCI

ฟᡤ䠖➹⪅సᡂGPCI-2012䛻䜘䜛ྡྂᒇ䛾ศᯒ• ศ㔝ู䛻1఩䛾㒔ᕷ䜢䝧䞁䝏䝬䞊䜽䠍఩㒔ᕷ䝇䝁䜰
ྡྂᒇ䝇䝁䜰ྡྂᒇ㡰఩
1఩㒔ᕷ䜢100Ⅼ䛸䛧䛯ሙྜ䛾ྡྂᒇ䛾䝇䝁䜰⥲ྜ
1452.5䠄䝻䞁䝗䞁䠅
761.0
41

⤒῭
338.9
䠄ᮾி䠅
161.6
33

◊✲䞉㛤Ⓨ
217.3
䠄䝙䝳䞊䝶䞊䜽䠅
51.7
24

ᩥ໬䞉஺ὶ
353.5
䠄䝻䞁䝗䞁䠅
11.2
45

ᒃఫ
298.7
䠄䝟䝸䠅
282.9
6

⎔ቃ
210.9
䠄ி㒔䠅
165.1
25

஺㏻䞉䜰䜽䝉䝇
251.3
䠄䝟䝸䠅
88.4
44

52.4

47.7

23.8

3.2

94.7

78.3

35.2

⎔ቃ

஺㏻䞉䜰䜽䝉䝇

ୡ⏺䝖䝑䝥㒔ᕷ䡒䡏ྡྂᒇ
100.0
90.0
80.0
70.0
60.0
50.0
40.0
30.0
20.0
10.0
0.0
⥲ྜ

ฟᡤ䠖᳃グᛕ㈈ᅋ㒔ᕷᡓ␎◊✲ᡤ䠄2013䠅p.107.

⤒῭

◊✲䞉㛤Ⓨ

ᩥ໬䞉஺ὶ

ᒃఫ

GPCI-2012䛻䜘䜛ྡྂᒇ䛾ศᯒ• ጜጒ㒔ᕷ䛾䝻䝃䞁䝊䝹䝇䜢䝧䞁䝏䝬䞊䜽䝻䝃䞁䝊䝹䝇䝇䝁䜰䝻䝃䞁䝊䝹䝇㡰఩ྡྂᒇ䝇䝁䜰
ྡྂᒇ㡰఩LA䜢100Ⅼ䛸䛧䛯ሙྜ䛾ྡྂᒇ䛾䝇䝁䜰

⥲ྜ
890.7
23
761.0
41

⤒῭
175.6
27
161.6
33

◊✲䞉㛤Ⓨ
116.4
6
51.7
24

ᩥ໬䞉஺ὶ
150.4
8
11.2
45

ᒃఫ
184.7
49
282.9
6

⎔ቃ
160.2
20
165.1
25

஺㏻䞉䜰䜽䝉䝇
103.5
40
88.4
44

85.4

92.0

44.4

7.4

153.2

103.1

85.4

䝻䝃䞁䝊䝹䝇䡒䡏ྡྂᒇ
160.0
140.0
120.0
100.0
80.0
60.0
40.0
20.0
0.0
⥲ྜ

⤒῭

◊✲䞉㛤Ⓨ

ᩥ໬䞉஺ὶ

ᒃఫ

⎔ቃ

஺㏻䞉䜰䜽䝉䝇

ྛᣦᩘ䛾ᖹᆒⅬྛᣦᶆ䜢ᣦᩘ໬ᕷሙ䛾つᶍ㻳㻰㻼䚸㻝ேᙜ䛯䜚㻳㻰㻼ᕷሙ䛾㨩ຊ㻳㻰㻼ᡂ㛗⋡䚸⤒῭⮬⏤ᗘ⤒῭㞟✚ドๆྲྀᘬᡤ䛾ᰴᘧ᫬౯⥲㢠䚸ୡ⏺䛾䝖䝑䝥㻟㻜㻜
௻ᴗ

ேⓗ㞟✚

ᚑᴗ⪅ᩘ䚸ᑐ஦ᴗᡤ䝃䞊䝡䝇ᴗᚑᴗ⪅ᩘ䝡䝆䝛䝇⎔ቃ㈤㔠Ỉ‽䚸ඃ⚽䛺ேᮦ☜ಖ䛾ᐜ᫆ᛶ䚸㻝ேᙜ䛯䜚䜸䝣䜱䝇㠃✚ἲつไ䞉䝸䝇䜽

ἲே⛯⋡䚸ᨻ἞䞉⤒῭䞉ၟᶵ䛾䝸䝇䜽◊✲㞟✚◊✲⪅ᩘ䚸ୡ⏺䝖䝑䝥㻞㻜㻜኱Ꮫ◊✲⎔ቃᩘᏛ䞉⛉Ꮫ䛻㛵䛩䜛Ꮫຊ䚸እᅜே◊✲⪅䛾ཷධែໃ䚸◊✲㛤Ⓨ㈝◊✲㛤Ⓨᡂᯝ

⏘ᴗ㈈⏘ᶒ䠄≉チ䠅䛾Ⓩ㘓ᩘ䚸୺せ⛉Ꮫᢏ⾡㈹ཷ㈹⪅ᩘ䚸◊✲⪅䛾஺ὶᶵ఍஺ὶ䞉ᩥ໬Ⓨಙຊ䝁䞁䝔䞁䝒㍺ฟ㢠䚸ᅜ㝿䝁䞁䝧䞁䝅䝵䞁㛤ദ௳ᩘ䚸ୡ⏺୺せ䛺ᩥ໬䜲䝧䞁䝖㛤ദ௳ᩘ㞟ᐈ㈨※䜰䞊䝔䜱䝇䝖䛾๰స⎔ቃ䚸䝴䝛䝇䝁ୡ⏺㑇⏘䚸ᩥ໬䞉Ṕྐ䞉ఏ⤫䜈䛾᥋ゐᶵ఍㞟ᐈ᪋タ๻ሙ䞉䝁䞁䝃䞊䝖䝩䞊䝹ᩘ䚸⨾⾡㤋䞉༤≀㤋ᩘ䚸䝇䝍䝆䜰䝮ᩘ

ཷධ⎔ቃ䝝䜲䜽䝷䝇䝩䝔䝹ᐈᐊᩘ䚸䝩䝔䝹⥲ᩘ䚸㈙≀䛾㨩ຊ䚸㣗஦䛾㨩ຊ஺ὶᐇ⦼እᅜேᒃఫ⪅ᩘ䚸ᾏእ䛛䜙䛾ゼၥ⪅ᩘ䚸␃Ꮫ
⏕ᩘ

ᑵᴗ⎔ቃ

᏶඲ኻᴗ⋡䚸⥲ປാ᫬㛫䚸ᚑᴗဨ䛾⏕ά‶㊊
ᗘ

ᒃఫ䝁䝇䝖

㈤㈚ఫᏯᖹᆒ㈤ᩱ䚸≀౯Ỉ‽Ᏻ඲䞉Ᏻᚰேཱྀᙜ䛯䜚ẅே௳ᩘ䚸⅏ᐖ䛻ᑐ䛩䜛⬤ᙅᛶ⏕ά⎔ቃ㻢㻜ṓ䛻䛚䛡䜛ᖹᆒవ࿨䚸ᆅᇦ䝁䝭䝳䝙䝔䜱䛾Ⰻዲ䛥䚸ேཱྀᙜ䛯䜚䛾་ᖌᩘ⏕ά฼౽ᛶேཱྀᐦᗘ䚸እᅜேᒃఫ⪅୍ேᙜ䛯䜚䛾እᅜேᏛᰯᩘ䚸ᑠ኎ᗑ⯒䛾඘ᐇᗘ䚸㣧㣗ᗑ䛾඘ᐇᗘ䜶䝁䝻䝆䞊㻵㻿㻻㻝㻠㻜㻜㻝ྲྀᚓ௻ᴗᩘ䚸෌⏕ྍ⬟䜶䝛䝹䜼䞊䛾ẚ⋡䚸䝸䝃䜲䜽䝹⋡ởᰁ≧ἣ㻯㻻㻞᤼ฟ㔞䚸㻿㻼㻹⃰ᗘ䚸㻿㻻䈻⃰ᗘ䞉㻺㻻䈻⃰ᗘ⮬↛⎔ቃỈ㉁䚸㒔ᚰ㒊䛾⥳⿕≧ἣ䚸Ẽᅜ㝿஺㏻䝛䝑䝖
䝽䞊䜽ᅜ㝿஺㏻䜲䞁䝣䝷
䜻䝱䝟䝅䝔䜱
㒔ᕷෆ஺㏻䝃䞊䝡䝇ᅜ㝿⥺┤⾜౽ᑵ⯟㒔ᕷᩘ 䚸ᅜ㝿⥺┤⾜㈌≀౽ᑵ⯟㒔ᕷᩘ䚸஺㏻฼౽ᛶ㒔ᚰ䛛䜙ᅜ㝿✵ 䜎䛷䛾䜰䜽䝉䝇᫬㛫䚸ேཱྀᙜ䛯䜚஺㏻஦ᨾṚஸ⪅ᩘ䚸䝍䜽䝅䞊㐠㈤ฟᡤ䠖Hot spots. Benchmarking global city competitiveness䚸p.25

GPCI䛾ᵓ㐀
ྛᖹᆒⅬ䛾ྜィⅬ⤒῭
23.0%• ᙉ໬䛜ồ䜑䜙䜜䜛ศ㔝䛸ᣦ
ᶆ

◊✲㛤Ⓨ
11.5%

¾ ᩥ໬஺ὶ
ྛ
ศ
㔝
叏
ྜ
ィ
Ⅼ

ᩥ໬஺ὶ
19.3%

ᒃఫ
19.3%

⎔ቃ
11.5%

஺㏻䜰䜽䝉䝇

15.4%

ฟᡤ䠖᳃グᛕ㈈ᅋ㒔ᕷᡓ␎◊✲ᡤ䠄2014䠅pp.348-351䜘䜚➹⪅సᡂ䚹

ͤᩘ್%䛿⌮ㄽୖⓎ⏕䛩䜛ྛศ㔝䛾䜴䜵䜲䝖䛾ᛌ㐺ᛶᅜ㝿⥺᪑ᐈᩘ 䚸⁥㉮㊰ᮏᩘ
බඹ஺㏻䠄ᆅୗ㕲䠅䛾㥐ᐦᗘ䚸බඹ஺㏻䛾඘ᐇ䞉ṇ☜䛥䚸㏻໅䞉㏻Ꮫ䛾฼౽ᛶ䠄ྜィ70ᣦᶆ䠅

GCCI-2012䛻䜘䜛Nagoya䛾ศᯒ• ጜጒ㒔ᕷ䛾䝻䝃䞁䝊䝹䝇䜢䝧䞁䝏䝬䞊䜽⥲ྜ㡰఩
19 Los Angeles䝇䝁䜰
50 Nagoya䝇䝁䜰LA䜢100Ⅼ䛸䛧䛯ሙྜ䛾ྡྂᒇ䛾
䝇䝁䜰

⥲ྜ

⤒῭ຊ

ேⓗ㈨※

61.5
52.3

45.7
33.0

76.9
63.7

85.0

72.2

82.8

ᶵ㛵䛾ᙳ㡪
䜾䝻䞊䝞䝹
㔠⼥ᡂ⇍ᗘ
≀ⓗ㈨ᮏ
ຊ
ッồᛶ
85.8
50.0
20.5
88.4
76.3
50.0
5.1
90.2
88.9

100.0

24.9

102.0

⎔ቃ䞉⮬↛ ♫఍ⓗ䞉ᩥ
⅏ᐖ
໬ⓗಶᛶ
54.2
95.0
62.5
74.2
115.3

78.1

LA vs Nagoya
120.0

100.0

80.0

60.0

40.0

20.0

0.0

ฟᡤ䠖᳃グᛕ㈈ᅋ㒔ᕷᡓ␎◊✲ᡤ䠄2013䠅p.107.

GCCI䛾ᵓ㐀• ᙉ໬䛜ồ䜑䜙䜜䜛ศ㔝䛸ᣦᶆ
¾ 䜾䝻䞊䝞䝹ッồᛶ30%ྛᣦᶆ䜢ᣦᩘ໬
ྡ┠GDP䠄25%䠅䚸୍ேᙜ䛯䜚GDP䠄10%䠅䚸ᖺ㛫ᾘ㈝1.4
୓䠁௨ୖ䛾ୡᖏᩘ 䠄10%䠅䚸ᐇ㉁GDP ᡂ㛗⋡䠄45%䠅䚸ᕷሙὶືᛶ䠄10%䠅

15%ேཱྀቑຍ⋡䠄12.5%䠅䚸⏕⏘ᖺ㱋ேཱྀ䠄8.3%䠅䚸䜰䞁䝖䝺䝥䝺䝘䞊䝅䝑䝥䠄25%䠅䚸ᩍ⫱Ỉ‽䠄33.3%䠅䚸་⒪Ỉ‽䠄8.3%䠅䚸እᅜேປാཧຍ⋡䠄12.5%䠅

15%㑅ᣲ䝥䝻䝉䝇䞉ከಙ᮲ᛶ(14.3%䠅 䚸⮬἞య䛾⤒῭⮬❧ᗘ䠄28.6%䠅䚸⛯ไ䠄14.3%䠅䚸つไ䠄14.3%䠅䚸ᨻᗓ䛾ຠ⋡
䠄28.6%䠅ྛᣦᶆ䛾ຍ㔜ᖹᆒⅬ

⤒῭ຊ
ேⓗ㈨※

ྛ
ศ
㔝
叏
ຍ
㔜
ᖹ
ᆒ
Ⅼ

ᶵ㛵䛾ᙳ㡪ຊ㔠⼥ᡂ⇍ᗘ10%㔠⼥䜽䝷䝇䝍䞊䛾ᗈ䛥䞉῝䛥䜾䝻䞊䝞䝹ッồᛶ10%䝣䜷䞊䝏䝳䞁500௻ᴗᩘ䠄20%䠅䚸ᅜ㝿⥺ᮏᩘ䠄20%䠅䚸ᅜ㝿఍㆟௳ᩘ䠄20%䠅䚸㧗➼ᩍ⫱䛾ᅜ㝿䝸䞊䝎䞊䝅䝑䝥
䠄20%䠅䚸ᅜ㝿ⓗ䛻᭷ྡ䛺䝅䞁䜽䝍䞁䜽ᩘ䠄20%䠅

≀ⓗ㈨ᮏ

䜲䞁䝣䝷䛾Ỉ‽䠄42.9%䠅䚸බඹ஺㏻䛾Ỉ‽䠄14.2%䠅䚸᝟
ሗ㏻ಙ䛾Ỉ‽䠄42.9%䠅

10%⎔ቃ䞉⮬↛⅏ᐖ5%♫఍ⓗ䞉ᩥ໬ⓗಶᛶ

5%ͤᩘ್%䛿ྛศ㔝䛾䜴䜵䜲䝖ฟᡤ䠖Economist Intelligence Unit䠄2012䠅pp.32-35䜘䜚➹⪅సᡂ䚹⮬↛⅏ᐖ䝸䝇䜽䠄33%䠅䚸⎔ቃ䜺䝞䝘䞁䝇䠄67%䠅
⾲⌧䛾⮬⏤䞉ேᶒ䠄20%䠅 䚸㛤ᨺᛶ䞉ከᵝᛶ䠄20%䠅䚸≢⨥
䠄20%䠅䚸ᩥ໬άᛶᗘ䠄40%䠅
ͤᩘ್%䛿ྛᣦᶆ䛾䜴䜵䜲䝖䠄ྜィ31ᣦᶆ䠅

2䛴䛾䝷䞁䜻䞁䜾䛾ホ౯⤖ᯝẚ㍑䠄೫ᕪ್䠅• ᡓ␎ⓗ䛺㝵ᒙୖ᪼䜢┠ᣦ䛩䜉䛝
80
London
New York
Paris
Tokyo

70

y = 0.7369x + 13.064
R² = 0.5392

60
Seoul
Amsterdam

BerlinSingapore

Hong Kong

ViennaSydneyBeijingFrankfurt
BarcelonaStockholm
ZurichCopenhagen
Brussels Madrid Toronto
Los Angeles
VancouverIstanbul
BostonGenevaChicago
Milan
Washington D.C.
San Francisco
Fukuoka
Taipei
Kuala Lumpur
Bangkok
Mexico City
NagoyaMoscow

GPCI

Shanghai

Osaka

50

40

Sao Paulo
MumbaiCairo

30➨2㒔ᕷ௨ୗ
䛾㒔ᕷ

20
20ฟᡤ䠖➹⪅సᡂ

30

40

50

60

70

80

GCCI

http://urc.or.jp/h26sougoukyousou-final

䛂➨3ᴟ䛾㒔ᕷ䛃䛾ᐃ⩏䛸㑅ᐃ• ୡ⏺䛾୺せ䛺㒔ᕷ䝷䞁䜻䞁䜾䛻ᥖ㍕䛥䜜䛶䛔䜛㒔ᕷ䜢㑅ᐃ䠄2014ᖺ᫬Ⅼ䛷101㒔ᕷ䠅• 䛣䜜䜙䛾㒔ᕷ䛾䛺䛛䛷䚸㤳㒔䞉⤒῭ⓗ㤳㒔䛷䛿䛺䛔㒔ᕷ䜢㑅ᐃ䠄37㒔ᕷ䠅• 䛣䜜䜙䛛䜙䚸㒔ᕷᅪேཱྀ500୓௨ୗ䛾㒔ᕷ䜢㑅ᐃ䠄16㒔ᕷ䠅• 䛣䜜䜙16㒔ᕷ䛾䛺䛛䛛䜙䚸䝆䝳䝛䞊䝤䛾䜘䛖䛺≉Ṧ䛺ᅜ㝿ⓗᶵ⬟䜢ᣢ䛴3㒔ᕷ䜢㝖እ䠄13㒔ᕷ䠅• ୡ⏺䛾ఫ䜏䜔䛩䛔㒔ᕷ䝷䞁䜻䞁䜾䛷ୖ఩䛻ホ౯䛥䜜䛯㒔ᕷ䜢㑅ᢥ䠄8㒔ᕷ䠅• 䛣䜜䜙8㒔ᕷ䛛䜙䚸䝅䜰䝖䝹䚸䝞䞁䜽䞊䝞䞊䚸䝯䝹䝪䝹䞁䚸䝭䝳䞁䝦䞁䚸䝞䝹䝉䝻䝘䚸⚟ᒸ䛾6㒔ᕷ䜢䚸䛂➨3ᴟ䛾㒔ᕷ䛃䛸つᐃ䛂➨3ᴟ䛾㒔ᕷ䛃䛾ᐃ⩏䛸㑅ᐃॢট‫ش‬ংঝ੃৘धखथ௬੼॑ਭऐथःॊ੃৘ Cities evaluated as a Global City 䠄101䠅৽ੋ੣੃䠄14䠅
Financial Capitals

੣੃䠄50䠅
Capitalsฟᡤ䠖➹⪅సᡂ

੣੃‫ੋ৽؞‬੣੃पჾਊखऩः੃৘䠄37䠅
Neither Capitals nor Financial Capitals੃৘෠যઠਐਰৣभ੃৘䠄16䠅

Abu Dhabi

Lima

AucklandBangalore

Addis Ababa

LisbonHo Chi Minh

Chennai

Amsterdam

LondonIstanbul

ChicagoAthensMadridJohannesburg

Chongqing

BangkokManamaKarachi

DallasBostonBeijing

ManilaLagos

GuangzhouFrankfurt

BerlinMexico City

Milan

HoustonBogotaMonacoNairobi

IncheonBrussels

Moscow

New York

Kolkata

Bucharest

Oslo

Sao Paulo

LahoreBudapest

Panama City

SydneyLos Angeles

Atlanta

Buenos Aires

Paris

Tel Aviv

Miami

Birmingham

Cairo

PragueTorontoMumbaiBusan

CaracasRiyadhZurichNagoyaCape Town೜ક௬੼भৈः
੃৘䠄8䠅
Cities evaluated withHigh Quality of Life

Copenhagen

Rome

Osaka

Krakow

Barcelona*

Delhi

Santiago

Philadelphia

Fukuoka*

Dhaka

Seoul

Rio de Janeiro

Hamburg

Doha

Singapore

San Francisco

Melbourne*

Dubai

Stockholm

ShanghaiMontreal

DublinTaipeiShenzhen

Munich*Hong Kong

Tokyo

Tianjin

Seattle*Jakarta

Tunis

Kinshasa

ViennaKuala Lumpur

Warsaw

Kuwait City

Washington

City-regions under 5 millionৈ২ॢট‫ش‬ংঝ੃৘䠄3䠅
Advanced Global Citiesৈ২ଢ଼஢‫؞‬ઇ୘ॡছ५ॱ‫ش‬ৈ২ଢ଼஢‫؞‬ઇ୘ॡছ५ॱ
Hi-Tech Research & Education Clusterব੠স੆७থॱ‫ش‬Financial Centreব੠৆੘ঁঈ
GenevaHub for International Politicsৈ২ॢট‫ش‬ংঝ੃৘ਰਗभ੃৘䠄13䠅
Cities not an Advanced Global City

Vancouver** IRBCਸೇ੃৘IRBC Member Cities䠄6䠅㻵㻾㻮㻯䜢༨䜑䜛䛂➨䠏ᴟ䛃䛾䜾䝻䞊䝞䝹㒔ᕷ
International Regions Benchmarking Consortium,5%&ਸೇ੃৘
IRBC Member Regions)8.82.$

6($77/(

9$1&289(50(/%2851(

081,&+%$5&(/21$ྛᅜᐙ䛻䛚䛡䜛ྛ㒔ᕷ䛾఩⨨䛵䛡
㒔ᕷྡ
ᡤᒓᅜ
ᗈᇦᅪ

䜭ᐲി
˄ѝ᷒䜭ᐲി˅
ѝᗳᐲ
˄ѝ᷒ᐲ˅
㤳㒔
㤳㒔䛛䜙䛾㊥㞳⚟ᒸ䝅䜰䝖䝹䝞䞁䜽䞊䝞䞊䝯䝹䝪䝹䞁᪥ᮏ䜰䝯䝸䜹ྜ⾗ᅜ䜹䝘䝎䜸䞊䝇䝖䝷䝸䜰
126,659
317,956
35,344
23,469஑ᕞ䝽䝅䞁䝖䞁ᕞ
䝤䝸䝔䜱䝑䝅䝳䝁䝻䞁䝡䜰ᕞ䝡䜽䝖䝸䜰ᕞ
13,108
6,971
4,400
5,713
⚟ᒸ㒔ᕷᅪᗈᇦ⾜ᨻ᥎㐍༠䝢䝳䞊䝆䜵䝑䝖䝃䜴䞁䝗ᆅᇦ༠䝯䝹䝪䝹䞁䞉䝯䝖䝻䝫䝸䝍䞁䜶䝸㆟఍䝯䝖䝻䞉䝞䞁䜽䞊䝞䞊㆟఍䜰⚟ᒸ㒔ᕷᅪᗈᇦ⾜ᨻ஦ᴗ⤌
ྜ
2,476
3,780
2,313
4,347
⚟ᒸᕷ
䝅䜰䝖䝹ᕷ
䝞䞁䜽䞊䝞䞊ᕷ䝯䝹䝪䝹䞁ᕷ
1,514
634
603
116
ᮾி
䝽䝅䞁䝖䞁DC䜸䝍䝽䜻䝱䞁䝧䝷
890 km
3,730 km3,520 km
460 km䝭䝳䞁䝦䞁䝗䜲䝒
80,209䝞䜲䜶䝹䞁ᕞ
12,519䝞䝹䝉䝻䝘䝇䝨䜲䞁
46,704䜹䝍䝻䝙䜰ᕞ
7,565

䜾䝺䞊䝍䞊䞉䝭䝳䞁䝦䞁䝞䝹䝉䝻䝘㒔ᕷᅪ2,730
䝭䝳䞁䝦䞁ᕷ
1,388
䝧䝹䝸䞁
500 km3,226䝞䝹䝉䝻䝘ᕷ
1,615
䝬䝗䝸䞊䝗
510 km

䝧䝹䝸䞁
⚟ᒸ

ᮾி

䝭䝳䞁䝦䞁

䝞䞁䜽䞊䝞䞊

䝞䝹䝉䝻䝘

䜸䝍䝽
䝅䜰䝖䝹
䝬䝗䝸䞊䝗

䝽䝅䞁䝖䞁㻰㻯
䜻䝱䞁䝧䝷ฟ඾䠖⚟ᒸ䜰䝆䜰㒔ᕷ◊✲ᡤ䠄2015䠅pp.17-27䜢䜒䛸䛻➹⪅సᡂ䚹ὀグ䠖ྛᩘ್䛿2013ᖺ᫬Ⅼ䛷බ⾲䛥䜜䛯ேཱྀ䠄༓ே䠅䜢♧䛩䚹䜾䝺䞊䛾䝌䞊䞁䛿ྛ㒔ᕷ䛾ᗈᇦᅪ䠄ᕞ䠅䜢♧䛩䚹‫੃ڲ‬৘भ෠ୠधযઠ

䝯䝹䝪䝹䞁‫੃ڲ‬৘भ෠ୠधযઠ
Barcelona

MunichMelbourne

VancouverSeattleFukuoka

050km
৘ୠ City Area৘ୠ॑௾ऎ੃৘෠ Metropolitan Area excluding City Areaَਸ਼‫گ‬ாُभ੃৘भ௬੼৶୛
ૣળ৘੦মଡ୳

মછभ௬੼্১

Fukuoka City Master Plan

Methodology on this Researchકाञः‫ؚ‬ষऌञः‫ؚ‬௮ऌञः॔४॔भઐ૴ುਡ੃৘‫ૣ؞‬ળ
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েણ‫؞‬॥঑গॽॸॕ Livability / Communityホ౯㡯┠ Evaluation Items

ேཱྀᵓᡂ$
Demographic Composition

ேཱྀືែ
Demographic Dynamics%⏕ά䛸ປാ䛾䝞䝷䞁䝇
Work-Life Balance&'㔠㖹ⓗ䛺㇏䛛䛥
Wealth of Life਍৸ਙ‫੅؞‬ਢਙ Security / Sustainability

ᣦᶆ Indicatorsホ౯㡯┠ Evaluation Items

ᖹᆒᖺ㱋Median Age

$

㧗㱋⪅ẚ⋡
Elderly Population Ratio≢⨥䛾ᑡ䛺䛥
Crime Rate୍ேᙜ䛯䜚GDP
GDP per Capita&་⒪䛾඘ᐇᗘ
Wellbeing'ởᰁ䛾ᑡ䛺䛥
Level of Pollution(Ẽೃ䛾ᛌ㐺䛥Climate)⮬↛䛾㇏䛛䛥Nature*㒔ᕷ䛾䝁䞁䝟䜽䝖䛥Compactness of City+

බඹ஺㏻䛾඘ᐇᗘ
Public Transportation

ᐙ㈤Ỉ‽House Rent Level⏕ά䛾䝁䝇䝖
(
Ease of Life㣗ᩱ㞧㈌㢮౯᱁Ỉ‽Grocery Price Levelእ㣗౯᱁Ỉ‽
Restaurant Price Levelᐤ㝃䛻䜘䜛䛥䛥䛘䛒䛔) Mutual Support by
Donationsᐤ㝃㔠㢠䛾ᑐ㻳㻰㻼ẚ䠄ᅜู䠅Donations as a Percentage of GDPὥỈⓎ⏕㢖ᗘ
Flood Frequency
ྎ㢼䠄䝃䜲䜽䝻䞁䠅Ⓨ⏕㢖ᗘ
Cyclone Frequency

ᖺ㛫ᖹᆒປാ᫬㛫
Annual Working Hours
୍ேᙜ䛯䜚ୡᖏᖺ㛫ᖹᆒྍฎศᡤᚓ
Household Disposable Income per Capitaேཱྀᙜ䛯䜚ẅே௳ᩘ
Number of Murdersᆅ㟈Ⓨ⏕㢖ᗘ
Earthquake Frequency⅏ᐖ㢖ᗘ䛾ᑡ䛺䛥%
Hazard Frequency

ேཱྀቑຍ⋡Population Growth Rateྜィ≉Ṧฟ⏕⋡
Fertility Rateᣦᶆ Indicatorsேཱྀᙜ䛯䜚་ᖌᩘ
Number of Physiciansฟ⏕᫬ᖹᆒవ࿨
Life Expectancy at Birth୍ேᙜ䛯䜚ᖺ㛫CO2᤼ฟ㔞
CO2 Emissions per Capita㻼㻹㻞㻚㻡ᖺ㛫ᖹᆒほ ್
Average Level of PM2.5
ᛌ㐺Ẽ ᭶ᩘ
Number of Comfortable Monthsᖹᆒᖺ㛫㞵ኳ᪥ᩘ
Annual Average Rainy Daysᕷᇦ୰ᚰ㒊䛾⥳ᆅ䛾ẚ⋡
Occupancy of Green in Central Areaᕷᇦ୰ᚰ㒊䛾Ỉ㠃䛾ẚ⋡
Occupancy of Water in Central Areaᕷᇦேཱྀᐦᗘ
City Area Density㒔ᕷᅪேཱྀᐦᗘ
Metropolitan Area Densityேཱྀᙜ䛯䜚䛾㕲㐨㥐ᩘ䠄䝖䝷䝮㝖䛟䠅
Number of Stations (Trams excluded)َਸ਼‫گ‬ாُभ੃৘भ௬੼੐ఏ
জ९‫ش‬५‫؞‬েਓৡ Resources / Productivityホ౯㡯┠ Evaluation Items

ᣦᶆ Indicators
100kmᅪෆ䛾ୡ⏺㑇⏘World Heritage Sites within 100 kmᩥ໬䠄Ṕྐ䠅㈨※Cultural and Historicalほග㈨※䛾඘ᐇᗘ
$
Tourism Resources䝷䞁䝗䝬䞊䜽
Landmarks䜰䜴䝖䝗䜰
OutdoorsᐟἩ᪋タ䛾඘ᐇᗘ
䝩䝔䝹௳ᩘ%
Accommodations
Hotels䝭䝳䞊䝆䜰䝮
Museumsⱁ⾡㚷㈹᪋タ䛾඘ᐇᗘ&Accessibility to Art䝅䜰䝍䞊Theatersእ㣗䛾඘ᐇᗘ
䝺䝇䝖䝷䞁௳ᩘ
'
Satisfaction of Dining
Restaurants䝇䝍䝆䜰䝮ᩘ䠄1୓ᖍ௨ୖ䠅䝇䝫䞊䝒ほᡓ᪋タ䛾඘ᐇᗘ Stadiums (more than 10,000 seats)
Accessibility to Sports(
Facilities䜸䝸䞁䝢䝑䜽኱఍㛤ദᐇ⦼
Olympic Games Experienceᆅᇦ䛾▱ྡᗘ
)
Local Branding Power*ேᮦ䛾㇏䛛䛥
Richness of Human
Resources+௻ᴗ䛾኎ୖつᶍCorporate Revenues,⤒῭ຊ䛾ᙉ䛥
Economic Power

Google䜻䞊䝽䞊䝗᳨⣴䝠䝑䝖ᩘ
Google Keyword Search Hitsປാຊேཱྀቑຍ⋡Labour Force Growth Rateேཱྀ䛻༨䜑䜛ປാຊேཱྀ䛾๭ྜ
Ratio of Labour Force in Populationॖঀঋ‫ش‬३ঙথ‫؞‬ઐ૴ Innovation / Interactionホ౯㡯┠ Evaluation Items≉チ⏦ㄳ௳ᩘ䛾ከ䛥$
Patent Applications䝇䝍䞊䝖䜰䝑䝥䛾ከ䛥%Startup Activities᧯ᴗ䛻䛛䛛䜟䜛⛯&
Business Tax኱Ꮫ䛾䜾䝻䞊䝞䝹ホ౯' Global Evaluation of
Universitiesᾏእேᮦ䛾๭ྜ
( Ratio of Overseas Human
Resources)ゼၥ⪅䛾ከ䛥
Number of Visitors኱つᶍᅜ㝿఍㆟䛾ከ䛥* Major International
Conferencesᅜ㝿✵ ᶵ⬟+ International Airport
Functionປാ⪅䛻༨䜑䜛㧗ᰯ༞௨ୖ䛾๭ྜ
Labour Force w/ Upper Secondary
Education
Fortune Global 500௻ᴗᮏ♫ᩘ
Fortune Global 500 HQᆅᇦෆ኎ୖ㔠㢠᭱኱௻ᴗ䛾኎ୖ㔠㢠
Highest Revenue of the Top Company
ᚑᴗ⪅୍ேᙜ䛯䜚GDP䠄⏕⏘ᛶ䠅
GDP per Employee (Productivity)GDPᡂ㛗⋡GDP Growth Rateᅜ㝿 ‴ᶵ⬟, International Seaport
Functionᣦᶆ Indicatorsேཱྀᙜ䛯䜚ᖺ㛫≉チ⏦ㄳ௳ᩘ䠄PCT䠅
Number of Patent Applications (PCT)ᖺ㛫᪂つ㛤ᴗ⋡䠄ᅜู䠅
Annual Business Startup Rateἲே⛯ᐇຠ⛯⋡
Effective Corporate Tax Rate
QS኱Ꮫ䝷䞁䜻䞁䜾ᥖ㍕኱Ꮫ
QS World Universities
QS኱Ꮫ䝷䞁䜻䞁䜾᭱ୖ఩ᰯ䛾㡰఩
Rank of the Top University on QSேཱྀ䛻༨䜑䜛እᅜ⏕䜎䜜䛾ᒃఫ⪅䛾๭ྜ
Foreign Born Residents
QS኱Ꮫ䝷䞁䜻䞁䜾᭱ୖ఩ᰯ␃Ꮫ⏕ẚ⋡International Students in Top University
ゼၥ⪅ᩘ䠄ᅜෆ䛛䜙䠅
Domestic Visitorsゼၥ⪅ᩘ䠄ᾏእ䛛䜙䠅International Visitorsᖺ㛫ᅜ㝿఍㆟㛤ദ௳ᩘ䠄㻵㻯㻯㻭䠅
Annual International Conferences (ICCA)ᅜෆ⥺ᖺ㛫᪑ᐈᩘ
Domestic Passengers
ᅜ㝿⥺ᖺ㛫᪑ᐈᩘ
International Passengers
ᅜෆ⥺┤⾜౽ᑵ⯟㒔ᕷᩘ
Domestic Direct Flight Destinationsྠ኱㝣ෆᅜ㝿⥺┤⾜౽ᑵ⯟㒔ᕷᩘ
Continental Direct Flight Destinations኱㝣㛫ᅜ㝿⥺┤⾜౽ᑵ⯟㒔ᕷᩘ
Inter Continental Direct Flight Destinations
୺せ✵ ⁥㉮㊰ᮏᩘRunways at the Major Airport
୺せ✵ 䜈䛾䜰䜽䝉䝇᫬㛫
Access Time to the Major Airportᅜ㝿䝁䞁䝔䝘㼀㻱㼁International Container TEUᅜෆ䝁䞁䝔䝘㼀㻱㼁
Domestic Container TEU䜽䝹䞊䝈ᐈ⯪஌㝆ேဨᩘ
Cruise Passengers

+ব੠૬௃ਃચ
ংঝ७টॼ‫؞‬ग़ঝ‫؞‬উছॵॺ૬௃

঑গথঊথব੠૬௃

ওঝ঎ঝথ૬௃

Barcelona-El Prat Airport

Munich Airport

Melbourne Airportෟ௒ଡ଼মਯ Runway: 3৘৔রੱ৖ऊैभ॔ॡ७५ৎ৑(ী)
Travel Time (minutes) from the City
Centre: 35ෟ௒ଡ଼মਯ Runway: 2৘৔রੱ৖ऊैभ॔ॡ७५ৎ৑(ী)
Travel Time (minutes) from the City
Centre : 35

ෟ௒ଡ଼মਯ Runway: 2৘৔রੱ৖ऊैभ॔ॡ७५ৎ৑(ী)
Travel Time (minutes) from the City
Centre : 20ংথॡ‫ش‬ং‫ش‬ব੠૬௃३॔ॺঝ‫ॱ؞‬॥ঐব੠૬௃

ૣળ૬௃

Vancouver International Airport

Seattle-Tacoma International Airport

Fukuoka Airportෟ௒ଡ଼মਯ Runway: 3৘৔রੱ৖ऊैभ॔ॡ७५ৎ৑(ী)
Travel Time (minutes) from the City
Centre : 20

ෟ௒ଡ଼মਯ Runway: 3৘৔রੱ৖ऊैभ॔ॡ७५ৎ৑(ী)
Travel Time (minutes) from the City
Centre : 32

ෟ௒ଡ଼মਯ Runway: 1৘৔রੱ৖ऊैभ॔ॡ७५ৎ৑(ী)
Travel Time (minutes) from the City
Centre : 110

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੕়௬੼ Overall Evaluation(Average points)
80.00

Barcelona
70.00

VancouverSeattleেણभସ Quality of Life

Fukuoka

Melbourne
60.00

Munich

50.00

40.00

30.00

20.00
20.00

30.00

40.00

50.00

60.00

70.00

80.00
(Average points)੃৘भਛশ Growth of Cityૣળभ౞ਟष਱ऐञ৅னभ३ॼজड़
३ॼজड़ The Scenario*৅ାੜਸী॑ব੠଍पౄਊ Increase of total visitors from the total flight increase**ృପপ৾भ೏৾েસ় International Students of Kyushu University;;ফभૣળभব੠଼ଥৡ
;;ফभ௬੼ Overall Evaluation in 20XX

(Average points)
80.00

Barcelona
70.00

VancouverSeattleেણभସ Quality of Life

Fukuoka

Melbourne

60.00

Munich
50.00

40.00

30.00

20.00
20.00

30.00

40.00

50.00

60.00

੃৘भਛশ Growth of City

70.00

80.00
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52

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97

http://www.flightconnections.com/

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83

http://www.flightconnections.com/

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59

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㻝㻞㻜㻘㻜㻜㻜ᖍ௨ୖ㻞㻜㻜㻜୓ே
ฟᡤ䠖demographia 䛂world urban areas 12th annual edition: 2016: 4䛃 http://www.demographia.com/db-worldua.pdf⚟ᒸ┴ゼၥእᅜேᩘୖ఩ᅜ䛾㻳㻰㻼㽢⚟ᒸ┴ᘏᐟἩ⪅ᩘ⚟ᒸ┴䜈䛾እᅜேゼၥ⪅ᩘୖ఩ᅜ䛾GDP
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㻤㻜㻜㻘㻜㻜㻜ே௨ୖ⚟ᒸᕷ䛾ᅜ㝿໬᥎㐍ᨻ⟇䠄㻝㻥㻤㻣䡚䠅
1987 ૣળ৘੦মଡ୳َણৡँॊ॔४॔भುਡ੃৘ُ
1989 ॔४॔୬਴ஞ೗༮ভ‫ेق‬ऊॺআ॔‫ك‬

1989 ૣળेऊॺআ॔੶୛ব੠ଃ੮‫ق‬ਠ‫ૣ؟‬ળेऊॺআ॔ব੠ઐ૴ଃ੮‫ك‬
1989 ॔४॔୬਴ஞऒनुভ৮ॖথૣળ
1990 ૣળ॔४॔ધ৲ೖ
1990 ॔४॔ঐথ५
1991 ॔४॔ইज़‫ش‬ढ़५ૣળ಩઺ມ
1992 ॔४॔୬਴ஞ७থॱ‫ش‬
1994 ॔४॔୬਴ஞ੃৘१঑ॵॺ
1996 ॔४॔‫؞‬ইॕঝ঒‫ش॔؞‬ढ़ॖঈ‫ૣق‬ળ৘௕છைपಡਝ‫ك‬
1999 ૣળ॔४॔஖୒ை
2003ૣળ৘ব੠৲௓ਤੑ઺

1989॔४॔୬਴ஞ೗༮ভ‫ेق‬ऊॺআ॔‫ك‬ฟᡤ䠖⚟ᒸ䜰䝆䜰㒔ᕷ◊✲ᡤ䠄2017䠅䛄⚟ᒸ䛾䜾䝻䞊䝞䝹䞉䝛䝑䝖䝽䞊䜽䛅⚟ᒸ✵䛾ᩚഛ䞉ᙉ໬䠄㻞㻜㻝㻣䡚䠅ฟᡤ䠖⚟ᒸ䜰䝆䜰㒔ᕷ◊✲ᡤ䠄2017䠅

1989॔४॔୬਴ஞऒनुভ৮in ૣળ༤ከ䛾‴ᶵ⬟䞉㻹㻵㻯㻱ᶵ⬟䛾ᣑᙇ䞉ᙉ໬䠄㻞㻜㻝㻣䡚䠅ฟᡤ䠖⚟ᒸ䜰䝆䜰㒔ᕷ◊✲ᡤ䠄2017䠅ᅜᐙᡓ␎≉༊䜾䝻䞊䝞䝹๰ᴗ㞠⏝≉༊᪋⟇䠄㻞㻜㻝㻠䡚䠅५ॱ‫ॵ॔ॺش‬উढ़ইख़
Fukuoka City Startup Café
http://startup.fukuoka.jp/५ॱ‫ॵ॔ॺش‬উঅ२Startup Visa५ॱ‫ॵ॔ॺش‬উঅ२ઐહਸ਼঳ಀ
The recipients of the first issued Startup Visa५ॱ‫ॵ॔ॺش‬উ੖ઘStartup Tax Reduction
Corporate Effective Tax Rate of Applicable Corporations
Targeted Area(preliminary calculation by Fukuoka City)

2016 F.Y.
Approx. 30%

DOWN to24% level
International
Medical

Source: Fukuoka City. ⚟ᒸᕷ≉༊㏻ಙ http://f-tokku.city.fukuoka.lg.jp/
Agricultureฟᡤ䠖⚟ᒸ䜰䝆䜰㒔ᕷ◊✲ᡤ䠄2017䠅

Fukuoka City Germany(10 S i l Z
)

China

Korea

⚟ᒸ䛾㒔ᕷ෌⏕䛾㉳⇿๣䛂ኳ⚄䝡䝑䜾䝞䞁䛃䠄㻞㻜㻝㻡䡚䠅䛂ኳ⚄䝡䝑䜾䝞䞁䛃䛻䜘䜛⤒῭Ἴཬຠᯝ䠄ᴫ⟬䠅㻱㼟㼠㼕㼙㼍㼠㼑㼐㼐㻌㻱㼏㼛㼚㼛㼙㼕㼏㼏㻌㻾㼕㼜㼜㼘㼑㼑㻌㻱㼒㼒㼑㼏㼠㼠㻌㼎㼥㼥㻌䇾㼀㼑㼚㼖㼕㼚 㻮㼕㼓㼓㻌㻮㼍㼚㼓䇿䇿㻌㻼㼞㼛㼖㼑㼏㼠‫ٲ‬భ෫એ஋‫ ؟‬৺1.7೅

444,000⋻ э 757,000⋻ ‫ٔق‬313,000⋻‫ك‬

Total floor space: Approx. 1.7 times
444,000 sq.m. э757,000 sq.m. (up 313,000 sq.m.)‫ٲ‬౻৷঻ਯ‫ ؟‬৺2.4೅

39,900য э 97,100য ‫ ٔق‬57,200য‫ك‬

Number of jobs in “Tenjin Big Bang” project area: Approx. 2.4 times
39,900 persons э97,100 persons (up 57,200 persons)‫ٲ‬10ফ৑भ૦ਝ਺ৱ஍ટ ‫ ؟‬৺2,900੏৞
Economic impact of construction investment over the next 10 years: Approx. 290 billion yen‫ٲ‬૦౹इ౥വ৏भ৽ੋણ৿ణ఺஍ટ‫ق‬ෞੜ‫ ؟ك‬൐ফ ৺8,500੏৞
Economic ripple effect after all the redevelopment of 30 old buildings is complete (net increase):
Approx. 850 billion yen annuallyऽठतऎॉॖও‫ش‬४
Future Image of Urban Planningٛ೹ਮभ஍ટॖও‫ش‬४ٜ
The impact of easing regulationਠষभఫ૬১ৈऔ਑଒
Height restriction under the current Civil Aeronautics Act

P ৉঱మ

76 meters (17 stories above ground)P ৉঱మ
67 meters (15 stories above ground)ৱમ‫ૣ؟‬ળ৘ ͤURCஶ๨
Source: Fukuoka City. *Preliminary translation by URC.

⚟ᒸ䛾㒔ᕷ෌⏕䛾㉳⇿๣䛂ኳ⚄䝡䝑䜾䝞䞁䛃䠄㻞㻜㻝㻡䡚䠅https://www.city.fukuoka.lg.jp/jutaku-toshi/kaihatsu/shisei/20150226.html

⚟ᒸ䛾ホ౯⤖ᯝ䠄㻞㻜㻝㻠ᖺ䋻㻞㻜㻝㻤ᖺ䠅੕়௬੼ 2014-2016-2018
(⥲ྜⅬ)

েણभସ

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Fuk16

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Mel16

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20

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40

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60

70

80
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35

300

30

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5

100

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2

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200

5

4

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3

35

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SeattleVancouver
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0

10

20

30km

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5

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Munichzঐথॲজথ ड़জग़থॱঝ ঑গ‫ش‬ॽॵ঄
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Fukuoka0z঍ॸঝ ४ঙ‫ش‬४॔
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zঋॼটখ঍‫ش‬
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10km

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Vancouver

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5

10

15km

QSপ৾ QS Universities
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zঐজথওॵ७ૣળ
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Melbourne Airportෟ௒ଡ଼মਯ Runway: 3৘৔রੱ৖ऊैभ॔ॡ७५ৎ৑(ী)
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Travel Time (minutes) from the City
Centre : 20

ෟ௒ଡ଼মਯ Runway: 3৘৔রੱ৖ऊैभ॔ॡ७५ৎ৑(ী)
Travel Time (minutes) from the City
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ෟ௒ଡ଼মਯ Runway: 1৘৔রੱ৖ऊैभ॔ॡ७५ৎ৑(ী)
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ʀʀʀϨϠʖφην΢ϩ͹ఈ஥୦ʀ౨‫ښ‬͹࣎େʰ௪‫ۊ‬ളΕʱ͖Δ͹մ๎ʀʀʀಝพۢ෨͖Δ͹఺ड़௔գ
ʤ2021े‫خ‬ୈீʥ→ʰ౨‫ښ‬Ͷ‫ͱ͚͵ڋ‬΍ྒྷ͏ʱʰͲ΍ɼ౨‫ښ‬Ͷߨ͜͵͚ͱͺࠖΖʱॊཔ͹Ϗϧξ΢ϞʁᶅᡫѮẲତẰɼᶆ҈͠ɼᶇਫ਼‫׈‬ཤสࢬઅɼᶈࢢүͱʀ‫گ‬ү‫ڧ؂‬ɼᶉࣙષ‫ڧ؂‬↓৿͢͏Ϗϧξ΢Ϟʁ ᶅ௪‫͢ۊ‬ҝ͠ɼᶆ҈͠ɼᶇਫ਼‫׈‬ཤสࢬઅɼᶈࢢүͱʀ‫گ‬ү‫ڧ؂‬ɼᶉࣙષ‫ڧ؂‬ᶣ౨‫ښ‬͹ਕ޳͹ླྀಊԿ→ ঀ‫ؽ‬೵͹ླྀಊԿ΃˰ỚợẰ‫ׅ࠙‬ỉ଺ˊỆிʮ‫ח‬ẆிʮᣃẆཎКғᢿỉ᠃λឬᢅૠỉਖ਼ᆆ

2020ʛ2021Ͷ఺೘௔գྖ͗‫ݰ‬ঙɽड़ఱʥ૱ແ঴े຿‫خ‬ຌୈீʤ2021.1ʥΓΕಝพۢ෨ʤྚഀતʥͲͺ఺ड़௔գͶ఺‫׷‬ɽிʮᣃཎКғᢿẦỤỉ᠃ЈέɥˮᣃࠊίᵲᵭᵮᵏᵎὸẔᏮЈέỉᢠ৸வˑẕṞிʮỴἁἍἋ
ṟᣃࠊೞᏡᨼᆢṠኺฎࣱṡ᫘ήଢ‫ۦ‬ṢἨἻὅἛࣱ
ड़ఱʥ૱ແ঴े຿‫خ‬ຌୈீʤ2021.1ʥ

ཎКғᢿẦỤỉ᠃Ј᣽‫ف‬ьᣃࠊड़ఱʥ૱ແ঴े຿‫خ‬ຌୈீʤ2021.1ʥ

ཎКғᢿẦỤỉ᠃Јᎍ‫ف‬ьྙɥˮᣃࠊ

ड़ఱʥ૱ແ঴े຿‫خ‬ຌୈீʤ2021.1ʥ

଺ˊỉກ් ίẸỉᾁὸὼɶᢿ‫ח‬ỉࢫлửᛠỚӕụẺẟὼίᾓᾧὺἅἿἜὸ ᶣ ἼἝỴ ᾌ ɶᢿ‫ח‬ỉ଺ˊᇌ‫ע‬ᢠ৸ỉ࠼؏҄ḵ Ẑிʮɟಊᨼɶẑỉஜ఍ႎ଱ദỉӧᏡࣱʀࠅౖ͹߶αηφߑଆ͖Δ͹୦‫٭‬ʀαηφްི͹߶͏ཱིஏમ୔
ʀ๑ਕ‫ۂة‬͹ࠅࡏ‫ڟ‬૬ྙ͹޴৏ʀࠅ຿ਫ਼‫׈‬Ͷ͕͜Ζ๝͖͠͹‫ڙ‬ण౨‫ښ‬Ͷғଚͪ͢ࠅౖ → ‫ۂة‬΍Պ‫ܯ‬΍߶αηφΝ‫͏ک‬ΔΗͱ͏Ζ
߶αηφΝෝ୴͢͵͏ཱིஏમ୔͗Ն೵Ͷ → ೖຌ‫ࡃܨ‬͹࠸ූ৏
ࠅ຿͹QOL͹޴৏ϨωΠ֋‫ۂ‬ͶΓΖ̐࣎ؔ‫ݏ‬͹֨୉ → ϨωΠԌતͶ৿͢͏ཱིஏમ୔

ἼἝỴ᧏ಅЭࢸỉᾁ଺᧓‫ח‬ỉ‫ ҄٭‬ίԼ߷ឪໜὸ
‫ݏ‬Үਕ޳ʁ4,104ຬਕ‫ݏ‬Үਕ޳ʁ5,217ຬਕ‫ݏ‬Үਕ޳ʁ6,228ຬਕષਆ

˛120෾‫ݳ(ݏ‬য়)˛120෾‫ݏ‬ʤ໌‫ݻ‬Բ֋‫࣎ۂ‬ʥ
˛120෾‫ݏ‬ʤ୉ࡗ֋‫࣎ۂ‬ʥ
www.marketanalyzer.jpʀ඾ઔӼΝ఼ًͳͪ͢రಕͳಕ࿑ͲΠέιηͲ͘Ζ࣎ؔ‫ݏ‬ʀరಕΉͪͺಕ࿑Ͳ౺ୣՆ೵͵3࣏ϟρεϣʤ༁1km࢝๏ʥ͹ਕ޳Νॄ‫ܯ‬ʀϨωΠʀరಕ͖Δࣙಊऄ΃͹৒‫͓׷‬ͺϨωΠӼͳ౨քಕʀࢃཇ৿‫ײ‬ત͹ n͹ͩΊ|ͳnͽ͖Ε| ͹ంऄӼ͹Ίߡྂͪ͢ɽ
ʀ৒‫ؔ࣎׷‬ʤ࠹श߳ऄӼ͖ΔࣙಊऄɼϨωΠͳࡑཔતΉͪͺࣙಊऄʥͺ֦10෾ͳઅఈɽʀਕ޳ͺฑ੔22೧ࠅ੐௒ࠬͶ‫͚Ͱخ‬ɽʀ඾ઔӼ͖Δ֦ϨωΠӼΉͲ͹ॶགྷ࣎ؔͶͯ͏ͱͺɼ‫ز‬෠‫ݟ‬ʰ‫ز‬෠‫ݟ‬ϨωΠ஦ԟ৿‫ײ‬ત‫׈‬༽કྲྀʱʤH26.3ʥΝࢂߡͶɼ໌‫ݻ‬ԲӼҐ੤ͺ‫཯ړ‬Ҍ෾Ν͢ͱҐԾ͹஍Ν༽͏ͪɽ໌‫ݻ‬ԲӼʁ40෾ɼ‫ز‬෠‫ݟ‬Ӽʁ59෾ɼௗ໼‫ݟ‬Ӽʁ49෾ɼࢃཨ‫ݟ‬Ӽʁ32෾ɼਈ಺ઔ‫ݟ‬Ӽʁ13෾ɼࢀ॑‫ݟ‬Ӽʁ61෾ɼ಺ྒྷ‫ݟ‬Ӽʁ73෾ฟ඾䠖୕⳻㼁㻲㻶䝸䝃䞊䝏䠃䝁䞁䝃䝹䝔䜱䞁䜾సᡂἼἝỴ᧏ಅЭࢸỉᾁ଺᧓‫҄٭ח‬ίӸӞ‫ދ‬ឪໜὸ‫ݏ‬Үਕ޳ʁ2,993ຬਕ
‫ݏ‬Үਕ޳ʁ5,949ຬਕ‫ݏ‬Үਕ޳ʁ6,428ຬਕ੡ଽો˛120෾‫ݳ(ݏ‬য়)˛120෾‫ݏ‬ʤ໌‫ݻ‬Բ֋‫࣎ۂ‬ʥ
˛120෾‫ݏ‬ʤ୉ࡗ֋‫࣎ۂ‬ʥ
www.marketanalyzer.jpʀ໌‫ݻ‬ԲӼΝ఼ًͳͪ͢రಕͳಕ࿑ͲΠέιηͲ͘Ζ࣎ؔ‫ݏ‬ʀరಕΉͪͺಕ࿑Ͳ౺ୣՆ೵͵3࣏ϟρεϣʤ༁1km࢝๏ʥ͹ਕ޳Νॄ‫ܯ‬ʀϨωΠʀరಕ͖Δࣙಊऄ΃͹৒‫͓׷‬ͺϨωΠӼͳ౨քಕʀࢃཇ৿‫ײ‬ત͹ n͹ͩΊ|ͳnͽ͖Ε| ͹ంऄӼ͹Ίߡྂͪ͢ɽ
ʀ৒‫ؔ࣎׷‬ʤ࠹श߳ऄӼ͖ΔࣙಊऄɼϨωΠͳࡑཔતΉͪͺࣙಊऄʥͺ֦10෾ͳઅఈɽʀਕ޳ͺฑ੔22೧ࠅ੐௒ࠬͶ‫͚Ͱخ‬ɽʀ໌‫ݻ‬ԲӼ͖Δ֦ϨωΠӼΉͲ͹ॶགྷ࣎ؔͶͯ͏ͱͺɼ‫ز‬෠‫ݟ‬ʰ‫ز‬෠‫ݟ‬ϨωΠ஦ԟ৿‫ײ‬ત‫༽׈‬કྲྀʱʤH26.3ʥΝࢂߡͶɼ໌‫ݻ‬ԲӼҐ੤ͺ‫཯ړ‬Ҍ෾Ν͢ͱҐԾ͹஍Ν༽͏ͪɽ‫ز‬෠‫ݟ‬Ӽʁ13෾ɼௗ໼‫ݟ‬Ӽʁ23෾ɼࢃཨ‫ݟ‬Ӽʁ40෾ɼਈ಺ઔ‫ݟ‬Ӽʁ59෾ɼ඾ઔӼʁ40෾ࢀ॑‫ݟ‬Ӽʁ11෾ɼ಺ྒྷ‫ݟ‬Ӽʁ23෾ɼ৿୉ࡗӼ18෾ฟ඾䠖୕⳻㼁㻲㻶䝸䝃䞊䝏䠃䝁䞁䝃䝹䝔䜱䞁䜾సᡂἼἝỴ᧏ಅЭࢸỉᾁ଺᧓‫҄٭ח‬ί‫᧵ٻ‬ឪໜὸ‫ݏ‬Үਕ޳ʁ2,927ຬਕ‫ݏ‬Үਕ޳ʁ2,943ຬਕ
‫ݏ‬Үਕ޳ʁ4,816ຬਕৗপଚʀ৿୉ࡗӼΝ఼ًͳͪ͢రಕͳಕ࿑ͲΠέιηͲ͘Ζ࣎ؔ‫ݏ‬ʀరಕΉͪͺಕ࿑Ͳ౺ୣՆ೵͵3࣏ϟρεϣʤ༁1km࢝๏ʥ͹ਕ޳Νॄ‫ܯ‬ʀϨωΠʀరಕ͖Δࣙಊऄ΃͹৒‫͓׷‬ͺϨωΠӼͳ౨քಕʀࢃཇ৿‫ײ‬ત͹ n͹ͩΊ|ͳnͽ͖Ε| ͹ంऄӼ͹Ίߡྂͪ͢ɽ
ʀ৒‫ؔ࣎׷‬ʤ࠹श߳ऄӼ͖ΔࣙಊऄɼϨωΠͳࡑཔતΉͪͺࣙಊऄʥͺ֦10෾ͳઅఈɽʀਕ޳ͺฑ੔22೧ࠅ੐௒ࠬͶ‫͚Ͱخ‬ɽʀ৿୉ࡗӼ͖Δ֦ϨωΠӼΉͲ͹ॶགྷ࣎ؔͶͯ͏ͱͺɼ‫ز‬෠‫ݟ‬ʰ‫ز‬෠‫ݟ‬ϨωΠ஦ԟ৿‫ײ‬ત‫༽׈‬કྲྀʱʤH26.3ʥΝࢂߡͶɼ໌‫ݻ‬ԲӼҐ੤ͺ‫཯ړ‬Ҍ෾Ν͢ͱҐԾ͹஍Ν༽͏ͪɽ໌‫ݻ‬ԲӼʁ18෾ɼ‫ز‬෠‫ݟ‬Ӽʁ41෾ɼௗ໼‫ݟ‬Ӽʁ51෾ɼࢃཨ‫ݟ‬Ӽʁ68෾ɼਈ಺ઔ‫ݟ‬Ӽʁ87෾ɼ඾ઔӼʁ40෾ɼࢀ॑‫ݟ‬Ӽʁ20෾ɼ಺ྒྷ‫ݟ‬Ӽʁ8෾

˛120෾‫ݳ(ݏ‬য়)˛120෾‫ݏ‬ʤ໌‫ݻ‬Բ֋‫࣎ۂ‬ʥ
˛120෾‫ݏ‬ʤ୉ࡗ֋‫࣎ۂ‬ʥ
www.marketanalyzer.jpฟ඾䠖୕⳻㼁㻲㻶䝸䝃䞊䝏䠃䝁䞁䝃䝹䝔䜱䞁䜾సᡂᾂ‫ٻ‬ᣃࠊ‫ח‬ỉᾁ଺᧓‫ח‬ʴӝỉ‫҄٭‬ȪȋǢ଺ˊƷ‫ם׎‬

䠄୓ே䠅
7,000

6,228 6,428

5,949
6,000

5,217

4,816

5,000
4,104

4,000
2,993 2,927

2,943

3,000
2,000

1,000
0
⌧≧

ྡྂᒇ㛤ᴗ
ရᕝ㉳Ⅼ

ྡྂᒇ㉳Ⅼ

኱㜰㛤ᴗ
኱㜰㉳Ⅼ

ிʮểӸᬜỉỼἧỵἋἅἋἚൔ᠋
࠰᧓ኖ≖Εό↝Ъถ
800,000

Ⅸᚾም↝Э੩↗⇝⇰∐⇐Ⅹ

700,000߇ࢼಅՃૠ‧••ʴᙹ೉↝ஜᅈ

600,000߈ிʮᬜԗᡀ↝᝹૰൦แ↖
࠰᧓᝹૰↞ኖ≚Εό⅛

500,000≚Εό

400,000߉Ӹᬜԗᡀ↚ᆆ᠃ↈ↻↟⅚
࠰᧓᝹૰↞ኖ≕†≛Εό
↚⅛

≔†≔Εό

300,000
200,000ℵˬↆ⅚ிʮЈࢌᝲ↞‫ف‬ьᙲ‫↝↌⅛׆‬᫇ኖ≔†≔Ε
ό⅛

≕†≛Εό

100,000

0
ྡ㥐࿘㎶
Ӹᬜԗᡀ

ᮾி㥐࿘㎶
ிʮᬜԗᡀ

ℶ࠰᧓↝⇐⇻⇉⇟ᇌ‫⇟⇙ע‬⇮↞⅚Ӹᬜԗᡀ↧↝ᆆ᠃↖ኖ≖†≔ΕόЪถↄ↻↺⅛

䜸䝣䜱䝇㈤ᩱ ༓෇/ᖺฟᙇ᪑㈝ቑศ ༓෇/ᖺ

ʤ2018೧ɼMURCࢾࢋʥṲஜᅈೞᏡỉᇌ‫ע‬ᢠ৸ɥẆӸӞ‫ދ‬ỉஊјࣱửᎋảỦ̖͌Ị᭗ẟẇṲӸӞ‫ދ‬ỆஜᅈೞᏡᨼᆢầ᭗ộủịẆᑋᆰᩔᙲẆลฺᩔᙲờ‫ف‬ᡶẴỦӧᏡࣱầ᭗ẟẇṲிʮỆɟಊᨼɶẶẵẆ᭗ἅἋἚನᡯỉԘጉẦỤᚐ્ẰủẺ‫ם׎‬МဇầӧᏡỆễỦẇ଺᧓‫ח‬ỉѬщ‫ ҄٭‬ίʴӝὸ˕̐࣎ؔ‫ݏ‬ਕ޳ʤ̐̎̏̎೧ਕ޳ʥ
㻞㻜㻝㻜ᖺ˕̐࣎ؔ‫ݏ‬ਕ޳ʤ̐̎̓̎೧ਕ޳ʥ

༢఩䠖୓ே
⌧≧

ရᕝ㉳Ⅼ
ྡྂᒇ㉳Ⅼ
኱㜰㉳Ⅼ

ྡྂᒇ㛤ᴗ
4,104
2,993
2,927

㻞㻜㻡㻜ᖺ

኱㜰㛤ᴗ
5,217
5,949
2,943

༢఩䠖୓ே
⌧≧

6,228
6,428
4,816

䠄୓ே䠅

ရᕝ㉳Ⅼ
ྡྂᒇ㉳Ⅼ
኱㜰㉳Ⅼ

ྡྂᒇ㛤ᴗ
3,397
2,421
2,311

኱㜰㛤ᴗ
4,319
4,929
2,322

5,102
5,286
3,917

䠄୓ே䠅

7,000
6,000

6,000

6,228 6,428

5,949

4,319

4,816

5,000

4,000

4,104

5,102 5,286

4,929

5,000

5,217

3,917

3,397

4,000
2,993 2,927

3,000

2,943

3,000

2,421 2,311

2,322

2,000

2,000

1,000

1,000
0

0
⌧≧

ྡྂᒇ㛤ᴗ
ရᕝ㉳Ⅼ

ྡྂᒇ㉳Ⅼ

኱㜰㛤ᴗ
኱㜰㉳Ⅼ

⌧≧

ྡྂᒇ㛤ᴗ
ရᕝ㉳Ⅼ

ྡྂᒇ㉳Ⅼ

኱㜰㛤ᴗ
኱㜰㉳Ⅼ

ड़ఱʁࠅౖި௪঴ࠅౖ੕ࡨ‫ۃ‬ʰࠅ਼ౖ஍৚ๅʤগཔਬ‫ܯ‬ਕ޳ϟρεϣυʖνʤࠅ੕‫ۃ‬ਬ‫ܯ‬ʥʥʱΝ΍ͳͶॄ‫ܯ‬ἼἝỴ᧏ಅࢸỉᵏ଺᧓‫ח‬Ὁᵐ଺᧓‫ח‬ʴӝίᵐᵎᵏᵎ࠰ʴӝểᵐᵎᵓᵎ࠰ʴӝὸ෼ཀྵద͵‫ݏ‬ҮͶۛ͏౨‫ښ‬ʁ୉ࡗʁ໌‫ݻ‬Բʻ̑ʁ̐ʁ̏

䕔㻢㻜ศᅪ

༢఩䠖୓ே

NW᮲௳
ேཱྀ᫬Ⅼ
ရᕝ㉳Ⅼ
ྡྂᒇ㉳Ⅼ
኱㜰㉳Ⅼ

⌧≧
2010ᖺ
2050ᖺ
2,336
2,040
814
695
1,447
1,128

ྡྂᒇ㛤ᴗ
2010ᖺ
2050ᖺ
2,597
2,257
929
794
1,447
1,128

኱㜰㛤ᴗ
2010ᖺ
2050ᖺ
2,597
2,257
1,604
1,322
1,820
1,446

‫ڦ‬ศᅪ
NW᮲௳
ேཱྀ᫬Ⅼ
ရᕝ㉳Ⅼ
ྡྂᒇ㉳Ⅼ
኱㜰㉳Ⅼ

⌧≧
2010ᖺ
2050ᖺ
4,104
3,397
2,993
2,421
2,927
2,311

ྡྂᒇ㛤ᴗ
2010ᖺ
2050ᖺ
5,217
4,319
5,949
4,929
2,943
2,322

኱㜰㛤ᴗ
2010ᖺ
2050ᖺ
6,228
5,102
6,428
5,286
4,816
3,917

༢఩䠖୓ே

ड़ఱʥࠅ਼ౖ஍৚ๅΓΕMURCॄ‫ܯ‬଺᧓‫ח‬ỉѬщ‫ ҄٭‬ί˖ಅὸ˕̐࣎ؔ‫਼ॶۂࣆݏ‬˕̐࣎ؔ‫ݏ‬ຌऀ਼䕔஦ᴗᡤᩘ༢఩䠖୓஦ᴗᡤ
⌧≧

ရᕝ㉳Ⅼ
ྡྂᒇ㉳Ⅼ
኱㜰㉳Ⅼ

ྡྂᒇ㛤ᴗ
162
137
127

༢఩䠖୓௻ᴗ
⌧≧

256
262
215

䠄୓஦ᴗᡤ䠅

ྡྂᒇ㛤ᴗ

ရᕝ㉳Ⅼ
ྡྂᒇ㉳Ⅼ
኱㜰㉳Ⅼ

60
44
39

኱㜰㛤ᴗ
75
85
39

89
90
73

䠄୓௻ᴗ䠅

300
256 262

245

250

215

211
200

162
150

䕔ᮏ♫ᩘ

኱㜰㛤ᴗ
211
245
128

137 127

128

100
50
0
⌧≧

ྡྂᒇ㛤ᴗ
ရᕝ㉳Ⅼ

ྡྂᒇ㉳Ⅼ

኱㜰㛤ᴗ
኱㜰㉳Ⅼ

100
90
80
70
60
50
40
30
20
10
0

89

85
75

90
73

60
44

39

39

⌧≧

ྡྂᒇ㛤ᴗ
ရᕝ㉳Ⅼ

ྡྂᒇ㉳Ⅼ

ड़ఱʁٗ‫ݜ‬ঐࣆ΢ϱνʖψεϥψϩʰ2012೧‫ࡃܨ‬ιϱγηϟρεϣυʖνʱΓΕॄ‫ܯ‬

኱㜰㛤ᴗ
኱㜰㉳Ⅼ

ἼἝỴ᧏ಅࢸỉᾀ଺᧓‫ח‬Ὁᾁ଺᧓‫ח‬ỉʙಅ৑ૠẆ˖ಅૠίஜᅈૠὸ
෼ཀྵద͵‫ݏ‬ҮͶۛ͏౨‫ښ‬ʁ୉ࡗʁ໌‫ݻ‬Բʻ̒ʁ̐ʁ̏

䕔㻢㻜ศᅪ

༢఩䠖୓

NW᮲௳
⌧≧
ྡྂᒇ㛤ᴗ
኱㜰㛤ᴗ
ேཱྀ᫬Ⅼ ஦ᴗᡤᩘ ௻ᴗᩘ ஦ᴗᡤᩘ ௻ᴗᩘ ஦ᴗᡤᩘ ௻ᴗᩘ
ရᕝ㉳Ⅼ
94
38
107
42
107
42
ྡྂᒇ㉳Ⅼ
37
12
47
16
82
27
኱㜰㉳Ⅼ
63
20
63
20
82
26
䕔㻝㻞㻜ศᅪ
༢఩䠖୓
NW᮲௳
⌧≧
ྡྂᒇ㛤ᴗ
኱㜰㛤ᴗ
ேཱྀ᫬Ⅼ ஦ᴗᡤᩘ ௻ᴗᩘ ஦ᴗᡤᩘ ௻ᴗᩘ ஦ᴗᡤᩘ ௻ᴗᩘ
ရᕝ㉳Ⅼ
162
60
211
75
256
89
ྡྂᒇ㉳Ⅼ
137
44
245
85
262
90
኱㜰㉳Ⅼ
127
39
128
39
215
73
ड़ఱʥ‫ࡃܨ‬ιϱηϟρεϣυʖνΓΕMURCॄ‫ܯ‬ἼἝỴ଺ˊỉ‫ם׎‬ỆấẟềỊ
ɶᢿ‫ח‬ͺɼਕ޳Ͳ΍‫Ͳ਼ۂة‬΍ߑଆదͶஇ‫ٻ‬ᾁ଺᧓‫؏ח‬ỉɶ࣎ɽẲẦẲᾀ଺᧓‫Ͳח‬ͺɼிʮɟಊᨼɶ͹ߑଆͺรΚΔ͵͏ɽẻẦỤẐίᵢᵶὺἅἿἜὸᶣἼἝỴẑᾌɶᢿ‫ח‬ỉ଺ˊͳ͵Ζ΄͚ᾀ଺᧓‫ח‬ỉᨼᆢͶखΕૌΉ͸ͻ͵Δ͵͏ɽʩ්ʴӝểᾖᾓᾟỉ᧙̞સࠅ͹ྃ‫ٮ‬༎ૻྖʤިླྀਕ޳ʥͳ*'3ͺਜ਼͹૮‫ܐؖؖ‬ʤ೧ౕʛ೧ౕʥ

*'3
ờ
ୱ
Ғ
⽇
஻
ԃ
Ở

530

ླྀಊ͗ଁ͓Ζͳ*'3΍֨୉
520

510

500
R² = 0.9666
490
28.5

29.0

29.5

30.0

30.5

31.0

ྃ‫ٮ‬༎ૻྖʤୱҒʁԱਕʥ

ฟ඾䠖ෆ㛶ᗓ䛂ᅜẸ⤒῭ィ⟬䛃䚸ᅜᅵ஺㏻┬䛂᪑ᐈᆅᇦὶືㄪᰝ䛃䜢ඖ䛻MURCヨ⟬αϫψ઴ͺྈं͹‫ܐؖ‬ͺୱ९ͫͮͪɽ→αϫψ‫ޛ‬ͺߍͶ෵ࡸͶߡ͓Ζචགྷ͍͗Ζɽग़ჷჄỉʩ්ʴӝỉᙸᡫẲસࠅద͵ਕ޳‫ݰ‬ঙԾͶ͕͏ͱ΍Ѭஎ‫΃ݟ‬͹ިླྀਕ޳ͺଁՅͤΖ‫ݡ‬௪͢ιϱφϪΠ৿νʖϝψϩɼϨωΠ஦ԟ৿‫ײ‬ત͹֋‫ۂ‬Ͷ൒͏ɼ‫͖֐ݟ‬Δ͹֐ࠅਕɼϑζϋη໪ద͹ިླྀਕ޳ͺ‫ݳ‬য়ΓΕ΍ଁՅͤΖ‫ݡ‬௪͢Ѭஎ‫΃ݟ‬͹ިླྀਕ޳͹ଁՅ෾ʤ೧ർʥ
ʤਕʙೖʥ


 ֐ࠅਕਕʙೖ
೧ʁʶਕʙೖ
೧ʁʶᵓᵓᵊᵎᵎᵎʴ὾ଐ
೧ʁʶ






≋ኖ․„•••ɢʴ‡࠰≌໌‫ݻ‬Բຬਕ࣎ؔ‫ݏ‬͹‫ܙ‬੔͹΢ϱϏέφ
ʶ๜ೖ֐ࠅਕ͹ଁՅʤMURCࢾࢋʥ



‫ݳ‬য়

 ؏ޭʀࢴ༽












೧
೧
೧
ϨωΠ
ϨωΠ
ιϱφϪΠ
સત֋‫ۂ‬
໌‫ݻ‬Բ֋‫ۂ‬৿νʖϝψϩ
೧
೧
೧

ϑζϋη

ʩ්ʴӝỆợỦෞᝲ‫ف‬ьỶὅἣἁἚѬஎ‫ݟ‬͹ިླྀਕ޳ଁՅ͗‫ͤ·ٶ‬΢ϱϏέφ͹ࢋఈຬਕ೧͹ިླྀਕ޳ଁՅ ˲ ༁Աԃʙ೧͹ஏҮ಼ভඇΝଁՅ

༁

Ңಊघஊ

䠄୓ே䠅

ஏҮ



ኖᵐᵊᵎᵎᵎɢʴ‫ف‬ь

೧

೧

ೖ‫ؾ‬Εʀॕഩ‫؜‬Όͪฑ‫ۋ‬ୱՃԃʙਕᵑᵊᵏᵖᵎΕό὾࠰ިླྀਕ޳ኖ
ʤMURCࢾࢋʥ

ἼἝỴ଺ˊỉʴӝถ‫ݲ‬গཔਕ޳ʤ౨ք‫ݟ‬ʥຬਕ‫ݰ‬ίग़ჷჄỂỊᵒᵏɢʴถὸ೧͹౨ք‫ݟ‬͹ਕ޳ͺ೧఼࣎ΓΕ༁౨ք‫ݟ‬સରͶଲͤΖࢤௌଞߑ੔ർ͹รԿʤ೧ˢ೧ʥ

໌‫ݻ‬ԲࢤΏѬஎ‫ݟ‬੤ࢀՑஏҮΝ஦ৼͶਕ޳͗ॄ஦
ʤએਕʥ  



ຬਕ‫ݰ‬༁
0.5䝫䜲䞁䝖
0.2~0.5
0.1~0.2
0.0~0.1-0.1~0.0~-0.1

ʤMURCࢾࢋʥ

೧

೧

ฟ඾䠖ᅜ❧♫఍ಖ㞀ேཱྀၥ㢟◊✲ᡤ䛂᪥ᮏ䛾ᆅᇦูᑗ᮶᥎ィேཱྀ䠄ᖹᡂ30ᖺ᥎ィ䠅䛃

೧

೧

ʴӝถ‫ݲ‬ỆợỦෞᝲෞ‫ڂ‬ỶὅἣἁἚѬஎ‫ݟ‬͹ఈेਕ޳‫ݰ‬ঙ͗‫ͤ·ٶ‬΢ϱϏέφ͹ࢋఈ༁ຬਕ͹ਕ޳‫ݰ‬ঙ ˲ ༁Աԃʙ೧͹ஏҮ಼ভඇ͗‫ݰ‬ঙͤΖ
䠄༓ே䠅

Ϫζϡʖ





ৱࣆഛ͏෼࢕ࣆኖᵒᵏɢʴถ‫ݲ‬
බӅ

ָߏ

೧

೧

೧ؔຬԃʙ೧͹ׄ͗Ү಼ভඇͳՀఈ

ᵒᵊᵎᵎᵎΕό὾࠰ኖఈेਕ޳

ʤMURCࢾࢋʥ

ʩ්ෞᝲỉ‫ف‬ьểܼᚘෞᝲỉถ‫ ݲ‬ίग़ჷჄỉ‫ئ‬ӳὸȪȋǢ᧏ಅƴǑǔ
ʩ්ෞᝲƷ‫ف‬ьᲶᲥΕόʴӝถ‫ݲ‬ƴǑǔܼᚘෞᝲƷถ‫ݲ‬ŢΕόᇷӭ⇁‫٭‬ⅷ↺ӕ↹ኵ↮ⅻ࣏ᙲᾌ๛သ‫ف‬ᡶƴǑǔʩ්ෞᝲƷ෇ࣱ҄৿୊Ҳఴࣖ‫ؙ‬ʤࠪʥͳαϱϗϱεϥϱιϱνʖʤӊʥ

ड़ఱʥ0,&( 1$*2<$-DSDQʤ఼̐ʥᾌ ᵫᵧᵡᵣỉࢫлѬஎ‫ݟ‬ηΩ΢ΦΫηϛ

ड़ఱʥѬஎ‫ݟ‬+3ငಅКቫ˄ь̖͌᫇ ίᵐᵎᵏᵕ࠰ὸɶᢿ‫ח‬ỊငಅನᡯỉҽỚỆʅẲẟ
‫ᧉݦ‬Ὁ২ᘐἇὊἥἋẆऴ‫إ‬ᡫ̮Ў᣼ỆэࢸငಅКࢼಅᎍᵏʴ࢘Ẻụቫ˄ь̖͌᫇ỉ঺ᧈྙɶᢿ‫ח‬Ịऴ‫إ‬ᡫ̮Ẇ᣿ᗡ̬ᨖẆɧѣငẆ‫ᧉݦ‬Ὁ২ᘐἇὊἥἋሁ
ỆấẟềẆဃငࣱầ˯ɦẲềẟỦẇ

‫˖ٻ‬ಅஜᅈૠ ίᵤᶍᶐᶀᶃᶑᴾᵥᶊᶍᶀᵿᶊᴾᵐᵎᵎᵎὸ཯ᾁ߸ỊᨥᇌẾềẟễẟẇ
቟ᾁᣃࠊ‫ח‬ỊႻ‫ݣ‬ႎỆΟˮỂẆἉỽἆὉ἟ỶἣὊἥἽᣃࠊ‫ח‬ỉᨼᆢ‫ٻ‬ɶᢿ‫ח‬ỊႻ‫ݣ‬ႎỆэˮỂẆ‫׎‬ϋỂỊᬍᣃ‫ח‬ỉᨼᆢầ‫͂ן‬ႎငಅನᡯỉҽỚửᏋớẺỜỆɶᢿ‫ח‬ỉᐯ඙˳ͺɼἋἑὊἚỴἕἩ͹ү੔ࢩԋͶ੕ࡨΝ஭ྙɽьảềிʮẦỤỉᆆ᠃ͶΓΖɼૼẺễငಅॄ੷΍༙ްɽཎỆẐίᵢᵶὺἅἿἜὸᶣἼἝỴẑᾌɶᢿ‫ח‬ỉ଺ˊΝ೨ಆͶ஖͏ͪஜᅈೞᏡỉᆆ᠃͗॑གྷɽ

ဃ෇ἅἋἚỉൔ᠋ ίἝἷὊἺὊἁᾌᵏᵎᵎὸɶᢿ‫ח‬Ịဃ෇ἅἋἚỆấẟề‫׎‬ᨥᇤʗщầẝỦẇிʮᣃỊẆ‫׎‬ᨥႎỆỚềờଢỤẦỆ᭗ἅἋἚẇᣃࠊ᧓ᆆѣ࠯‫ר‬ᡮࡇ ίἴὊἛᾌᐯѣ៻ὸɶᢿ‫ח‬ỊẆ഑቟ểൔ᠋Ẳề࠯‫ר‬ᡮࡇầ˯ẟẇί཯ỉỴỸἚἢὊὅẆ቟ỉἧἼὊỸỹỶỉ݃ɨầ᭗ẟὸˬẲẆᬍᣃ‫ח‬Ẇ᧙ᙱ‫ח‬ểൔ᠋ẴỦể‫͂ן‬ႎỆଔẟẇɶᢿ‫ח‬

ἢỶỺἽὅ߸

ᬍᣃ‫ח‬ἒἻἋὉἧỻὊἚὁὊἋᣃࠊ‫ח‬ɶᢿᾄჄỉிʮồỉʴӝ්Јཞඞ
1,000Ẕᵎ῍ᵏᵒബẕ

1,000

500

0

Ẕᵏᵓ῍ᵐᵗബẕ

1,000

0(1,000)(500)(2,000)(500)(3,000)(1,000)(1,500)(4,000)(1,500)(2,000)(5,000)(2,000)

R1

R3

0

R1

R3

1,000

500

500

(500)

(500)

(1,000)(1,000)(1,500)(1,500)(2,000)(2,000)

R1

R3

R3

Ẕӳᚘẕ
0
(1,000)(2,000)(3,000)(4,000)(5,000)(6,000)(7,000)(8,000)(9,000)0

0R1Ẕᵔᵎബ῍ẕ

1,000Ẕᵑᵎ῍ᵒᵒബẕ

500(1,000)Ẕᵒᵓ῍ᵓᵗബẕᵰᵏᾉἅἿἜЭᵰᵑᾉἅἿἜᅤ

R1

R3

R1

R3

ड़ఱʥे຿‫خ‬ຌୈீΓΕ
MURCࡠ੔

ɶᢿ‫ח‬ẦỤிʮồỉʴ஬්Јầ‫ٻ‬ẨẪẆग़ჷჄỂ᫋ᓸẇˬẲẆᏮὉிʮỉກ්ầᧈ᣼ჄẆ᩺‫ޢ‬ჄỆӏỎ‫ڼ‬ỜềẟỦẐ঺ᧈẴỦɶᢿ‫ח‬ẑỆ൭ỜỤủỦᙻໜ‫׎‬ᨥൔ᠋

⁠ࢊ‫ߑۂ‬ଆͶҽỚ͗๣͚͢঺ᧈࣱͶ‫ݔ‬೨⁡ஜᅈ͹ॄ੷͗๣͢͏
⁢ଡ࠾͵ʴ஬͹ॄ੷͗ओ͏
→ਕࡒ͗ிʮỆ්Ј͢ͱ͏ΖᶈἅἋἚͳᆆѣவˑͺ༑ҒʻࢸỊẐίᵢᵶὺἅἿἜὸᶣἼἝỴẑ଺ˊỉɶᢿ‫ח‬ᶅிʮỴἁἍἋͶ༑Ηɼଐஜஇ‫ٻ‬ỉᾁ଺᧓‫ח‬͹஦ৼΝ‫͖ͤ׈‬ᶆʰ୦ʀ౨‫ښ‬ʱ͹ण͜ࡾͳ͵ΕɼஜᅈೞᏡ͹ॄ੷͗॑གྷ
ᶇ౨‫ښ‬Ҳ‫ॄۅ‬஦͹੍ਜ਼Ͷ߫‫ݛ‬→߶αηφߑଆ͖Δմ๎͠Ηͪ˖ಅỉ‫׎‬ᨥᇤʗщ޴৏→஦෨‫ݏ‬Ͷ‫ࢢٶ‬ễʴ஬͗ॄ੷
→‫҄܇ݲ‬ỉΰ஌Ͷޭ໎→ɶᢿ‫׎‬ᨥᆰล͹ऩགྷ૓ड़΃Ẑ঺ᧈẴỦɶᢿ‫ח‬ẑỆᇌẼỊẻẦỦឱΨỉᛢ᫆Ṟ ኺฎӳྸࣱẻẬỂɶᢿ‫ח‬ầᢠịủỦẦᾎ→ಎΗΝ์͖ͦΖẐἨἻὅἛࣱẑ͹ཱི֮͗෈Նܿṟ ஜᅈೞᏡỉӖẬႤểễỦỼἧỵἋἥἽỊẝỦẦᾎ→໌‫ݻ‬Բ౐ৼ͹Ẑϐ᧏ႆẑͶΓΖΨϓΡη‫͗ڇڛ‬චགྷṠ ᭗ẟᵯᵭᵪửܱज़ỂẨỦဃ෇࿢‫ ؾ‬ίʴ஬ᆆ᠃ỉӖẬႤὸ→֦‫ݟ‬͹ਗໜᣃࠊỉᬜЭ‫˰އ‬ೞᏡ͹ैࣰ‫ک‬Կ(EX.)Ҳ‫ࢤٸ‬ʁӼ઴ஏۢ͹౐ࢤ‫ܯ‬ժรߍ౨քࢤʁӼ઴ஏۢ͹ౖஏۢժ੖ཀྵࣆ‫ۂ‬→ɶ‫؏ע᧓ޛ‬Ͷ͕͜ΖᣃࠊἇὊἥἋἾἫἽ޴৏
(EX.)υζνϩΪώϟϱφ
DXଲԢ‫ܗ‬͹ਫ਼‫׈‬γʖϑη౵ӸӞ‫ࠊދ‬ỉἉἥἕἁἩἻỶἛίᵐᵎᵏᵔ࠰ࡇᛦ௹ὸ

>085&㈨ᩱࡼࡾ㹛1986೧ࠔ͹࿣ຌ໨࿣஺໪

࿣ຌ໨ϐϩθ

໨ଆ௠ୁे୒ືॄஏۢʤ໨௠ஏۢʥ
෱ҽ4mҐԾ͹ಕ࿑Ν‫ڮ‬Ίঘ‫و‬ໝे୒͗ືॄ
ஏ‫਼ंݘ‬ͺ༁500݇ʤ→8ׄ͗࠸֋൅ͶࢂՅʥ

1986೧ɼ౐͗࠸֋൅༢಍ஏۢ͹ࢨఈਁϑϩͳτϪϑ௉ೖ͗࠸֋൅͹‫࢟֋͖͜;ݼ‬2000೧஥޽ɼ2003೧ॣ޽ʀ֋‫ۂ‬