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A Study on the Creative Industry Population Based on Different Spatial and Non-Spatial Urban Structure

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** Ğᔢݡ⦺Ʊ ݡ⦺ᬱ ࠥ᜽Ŗ⦺ŝ ᕾᔍ ([email protected])

Received April 9, 2013/ revised June 2, 2013/ accepted August 7, 2013

Copyright ⵑ 2013 by the Korean Society of Civil Engineers

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0)

 ǣŠ––’ǣȀȀ†šǤ†‘‹Ǥ‘”‰ȀͳͲǤͳʹ͸ͷʹȀ•…‡ǤʹͲͳ͵Ǥ͵͵Ǥ͸Ǥʹͷͺ͵

™™™Ǥ•…‡Œ‘—”ƒŽǤ‘”Ǥ”

ኳᇂ⶿· ␂ኳᇂ⶿#ᦂ⢚ጪ⸮#≾㰒⮎#᫮ἶ#ㇻ⸮♮⮃#ⴶጪ#⮮ጪ

ੲ୨ֽ ȵจ୨ָ

Ahn, Jung Geun*, Hwang, Jeong Gyu**

A Study on the Creative Industry Population Based on Different Spatial and Non-Spatial Urban Structure

ABSTRACT

A number of cities have been constantly decreasing their residents by the low quality of life and environment. A creative industry is being noticed for not only securing the competitiveness of the city but also increasing the number of population. Thus, the urban structure for inducing creative industry population becomes to major issue to the most of local governments. This study aims to suggest the relationships between urban structure and creative industry population based on different urban sizes. To measure the population of creative industry, this study used the 'National Business Survey’ by the National Statistical Office, which classified the statistical data of industrial places on a basis of city, district, and borough. Based on the results of expert questionnaire surveys, it conducted an analysis on the importance of urban structure and drew some critical factors that have an important effect on attracting the population of creative industry. The relationships between creative industry population and urban structure evaluated by multiple regression analysis. This study found out that the cultural factors like cultural space or culture events were drawn as very significant factors that have a positive effect on the population of creative industry population. It is judged that the creation of culture environment, which can enrich the creative industry, is needed to strengthen the competitiveness of the cities.

Key words : Creative city, Creative industry, Urban structure, Urban competitiveness, Urban size, Urban culture

Ⅹಾ

ǎԕฯᮡࠥ᜽ॅᮡĞᱽᖒᰆශ⦹௞ᨱ঑ෙŁᬊ₞⇽⦹௞, ⇽ᔑශqᗭᨱ঑ෙᯙǍqᗭ, יಚᯙǍ᷾aᨱ঑ෙࠥ᜽⪽ಆqᗭ, ࠥᝍŖ࠺⪵ᨱ

঑ෙࠥ᜽ʑ܆ᙁ♕॒20ᖙʑᨱċᨕᅕḡ༜⦽ᔩಽᬕࠥ᜽᧲ᔢᨱḢ໕⦹Łᯩ݅. ᯕᨱ঑௝ᯕॅࠥ᜽ॅᮡࠥ᜽᮹ݚ໕⦽ྙᱽෝ⧕đ⦹Łࠥ

᜽Ğᰢಆᮥ⨆ᔢ᜽┍ᙹᯩ۵݅᧲⦽ႊᦩᵲ⦹ӹಽ₞᳑ࠥ᜽ᨱݡ⦽šᝍᯕ׳ᦥḡŁᯩ݅. ₞᳑ࠥ᜽۵ᵝၝॅᯕ݅᧲⦽ྙ⪵ᔾ⪽ŝᩍa⪽

࠺ᯕa܆⦹Ł⩢ᝁᱢᯙᔑᨦᮥḥ⯆⧁ᙹᯩ۵ᰆᗭa⣮ᇡ⦽ࠥ᜽ಽᕽŝ⦺ᯱ, ʑᚁᯱ, Õ⇶a, ॵᯱᯕթ, ᯲a, ᩩᚁa, ᮭᦦa॒᮹₞᳑ᔑᨦ

ᯙǍᨱ᮹⧕ᖁࠥࡽ݅. ঑௝ᕽᅙᩑǍ۵ǎԕࠥ᜽ෝᯙǍȽ༉ᄥಽǍᇥ⦹ᩍᨕਁ⦽ࠥ᜽Ǎ᳑a₞᳑ᔑᨦᯙǍ᪡šĥaᯩ۵ḡෝᱽ᜽⦹۵ߑ

༊ᱢᯕᯩ݅. ᩑǍđŝŲᩎ᜽ᨱᕽ۵ྙ⪵⧪ᔍᙹa₞᳑ᔑᨦᯙǍ᪡šĥaᯩᮝ໑ݡࠥ᜽ᨱᕽࠥྙ⪵⧪ᔍᙹ᪡ྙ⪵Ŗeᙹa₞᳑ᔑᨦᯙǍ ᨱᩢ⨆ᮥၙ⊹۵äᮝಽӹ┡ԍ݅. ⦽⠙ᵲᗭࠥ᜽ᨱᕽ۵ྙ⪵⧪ᔍᙹ᪡⪹Ğ᪅ᩝšญ᜽ᖅᯕ₞᳑ᔑᨦᯙǍᮁᯙᨱᩢ⨆ᮥၙ⊹۵äᮝಽӹ┡

ԍ݅. ঑௝ᕽ₞᳑ᔑᨦᯙǍᮁ᯦ᨱaᰆⓑᩢ⨆ᮥၙ⊹۵᫵ᗭaࠥ᜽ྙ⪵ᯥᨱ঑௝ࠥ᜽Ğᰢಆᮥv⪵⦹ʑ᭥⧕ᕽ۵݅᧲⦽ࠥ᜽ྙ⪵⪹Ğᮥ

᳑ᖒ⦹۵äᯕ᜽ɪ⦹݅.

áᔪᨕ ₞᳑ࠥ᜽, ₞᳑ᔑᨦ, ࠥ᜽Ǎ᳑, ࠥ᜽Ğᰢಆ, ࠥ᜽Ƚ༉, ࠥ᜽ྙ⪵

ݓًфʪ֨ćন

‡‰‹‘ƒŽƒ†”„ƒŽƒ‹‰

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1. ᕽು

ǎԕࠥ᜽ॅᮡ1960֥ݡᯕ⬥ᔑᨦၽᱥᨱ঑ෙŁᬊ₞⇽ಽᯙ⧕

ḡᗮᱢᮝಽᯙǍaᮁ᯦ࡹᨕᵝ┾, ࠥಽ, ᔢ⦹ᙹࠥ, ⦺Ʊ॒݅᧲⦽

ྜྷญᱢ ᜽ᖅ ⪶∊ᮥ ☖⧕ ᷾a⦹۵ ࠥ᜽ᱢ ᙹ᫵ᨱ ݡ⃹⦹ᩡ݅.

⦹ḡอ2000֥ᯕ⬥ݡᇡᇥ᮹ǎԕࠥ᜽ॅᮡĞᱽᖒᰆශࢵ⪵ᨱ

঑ෙŁᬊ₞⇽⦹௞, יಚᯙǍ᷾aᨱ঑ෙࠥ᜽⪽ಆqᗭ, ࠥᝍ

Ŗ࠺⪵ᨱ঑ෙࠥ᜽ʑ܆ᙁ♕॒20ᖙʑᨱċᨕᅕḡ༜⦽ᔩಽᬕ

ࠥ᜽᧲ᔢᨱḢ໕⦹ᩍŝÑ᮹ྜྷญᱢ᜽ᖅŖɪᮝಽ۵ᄡ⪵ࡽࠥ᜽⪹

Ğᨱݡ⃹⦹۵ߑⓑ⦽ĥෝ۱ӝíࡹᨩ݅. ᯕᨱ঑௝ݡᇡᇥ᮹

ḡᯱℕᨱᕽ۵ࠥ᜽᮹ݚ໕⦽ྙᱽෝ⧕đ⦹Łࠥ᜽Ğᰢಆᮥ⨆ᔢ

᜽┍ᙹᯩ۵݅᧲⦽ႊᦩᮥ᯦ࠥ⦹ʑ᭥⧕ᇡ݉⯩יಆ⦹Łᯩ݅.

ࠥ᜽ ⪽ಆᮥ ᷾ḥ ᜽┅Ł ࠥ᜽ᯙǍ ᷾aෝ ☖⧕ ࠥ᜽ Ğᰢಆᮥ

⨆ᔢ᜽┍ᙹᯩ۵ႊᦩᮝಽ↽ɝ₞᳑ࠥ᜽ᨱݡ⦽šᝍᯕ׳ᦥḡŁ

ᯩᮝ໑✚⯩₞᳑ࠥ᜽᳑ᖒᮥᖁࠥ⦹۵₞᳑ᔑᨦᯙǍෝᨕਜí

⧕ݚ ࠥ᜽ಽ ᮁᯙ ⧁ ᙹ ᯩ۵ aᨱ ⓑ šᝍᯕ ḲᵲࡹŁ ᯩ݅.

₞᳑ࠥ᜽۵݅᧲⦽ྙ⪵ᔾ⪽ŝᩍa⪽࠺ᯕa܆⦹Ł⩢ᝁᱢᯙ

ᔑᨦᮥḥ⯆⧁ᙹᯩ۵ᰆᗭa⣮ᇡ⦽ࠥ᜽ಽᕽŝ⦺ᯱ, ʑᚁᯱ, Õ⇶a, ॵᯱᯕթ, ᯲a, ᩩᚁa, ᮭᦦa॒₞᳑ᔑᨦᯙǍᨱ᮹⧕

ᖁࠥࡽ݅. ⦹ḡอࠥ᜽Ƚ༉ᨱ঑௝ᔾ⪽⪹ĞၰʑᨦᩍÕᯕ݅෕Ł

ࠥ᜽Ğᱽ, ᔍ⫭, ྙ⪵, Ŗe॒݅᧲⦽ࠥ᜽Ǎ᳑᮹₉ᯕᨱ঑௝

₞᳑ᔑᨦᯙǍᮁᯙᨱⓑᩢ⨆ᮥၙ⋁ᙹᯩ݅. ঑௝ᕽᅙᩑǍ۵

ǎԕࠥ᜽ෝȽ༉ᄥಽǍᇥ⦹ᩍᨕਁ⦽ࠥ᜽Ǎ᳑a₞᳑ᔑᨦᯙǍ

᪡šĥaᯩ۵aᨱݡ⦽ᇥᕾᮥ☖⧕ࠥ᜽Ƚ༉ᄥ₞᳑ᔑᨦᯙǍ

ᮁ᯦ᨱᩢ⨆ᮥၙ⊹۵ࠥ᜽Ǎ᳑ḡ⢽ෝࠥ⇽⦹Łࠥ᜽Ƚ༉ᄥ₞᳑

ࠥ᜽ ᱶ₦ႊ⨆ᮥ ᱽ᜽⦹۵ߑ ༊ᱢᯕ ᯩ݅.

2. ᖁ⧪ᩑǍၰᯕುŁₑ

2.1 টෘ઴֜

₞᳑ࠥ᜽ᨱݡ⦽ᩑǍ۵ǎԕࠥ᜽᮹᧲ᱢ➞₞ᯕᱶℕࡹ۵2000

֥ݡᯕ⬥⪽ၽ⯩ᙹ⧪ࡹᨩᮝ໑əݡ⢽ᱢᩑǍಽᕽʡᯙ℁(2009), ʡᮁၙ(2009), ⫊ᵡ(2009), ᯕ⬩(2011), ʡᖒᮡ(2011), ʡᩢᵝ (2011) ॒ᯕ ᯩ݅.

ʡᯙ℁(2009)ᮡ₞᮹ᖒᩍÕᯕḡᩎĞᱽᖒᰆŝʑᨦᔾᔑᖒᨱ

ၙ⊹۵ ᩢ⨆ ᩑǍෝ ☖⦹ᩍ ₞᮹ᖒ ĥ⊖ŝ ₞᮹ᖒ 3T(Talent, Technology, Tolerance)ḡᙹ۵ḡᩎĞᱽᖒᰆᐱอᦥܩ௝}ᄥʑ ᨦ᮹ ⅾ ᔾᔑᖒŝࠥ ☖ĥᱢᮝಽ ᮁ᮹ၙ⦽ šĥa ᯩ݅۵ äᮥ

ၾ⩵݅. ੱ⦽ḡᩎĞᱽᖒᰆᮥⅪḥ⦹ʑ᭥⧕₞᮹ᖒᩍÕᮥ᳑ᖒ⦹

۵ äᯕ ᵲ᫵⦹໑ ᯕ۵ ʑᨦ᮹ ᩑǍ}ၽ⚍ᯱ᪡ ޵ᇩᨕ ᬑᙹ⦽

ᯙᰍॅᮥᮁᯙ⦹۵ḡᩎᔍ⫭ ⪹Ğᯕ}ᄥʑᨦ᮹ᔾᔑᖒ⨆ᔢᨱ

ɮᱶᱢᮝಽʑᩍ⦹ʑভྙᯕ௝Łᵝᰆ⦹ᩡ݅. ʡᮁၙ(2009)۵ࠥ

᜽᮹₞᳑ᖒᯕࠥ᜽Ğᰢಆᨱၙ⊹۵ᩢ⨆ᨱݡ⧕⦽ǎŝᯝᅙ᮹

84 }ࠥ᜽ෝݡᔢᮝಽᇥᕾ⦹ᩡ݅. ᇥᕾđŝʑĥ, ᱥᯱ, ᱶᅕᔑᨦ

॒ᯝᇡ℉݉ᔑᨦᮡࠥ᜽Ğᰢಆᨱᮁ᮹⦽ᩢ⨆ᮥၙ⊹۵ᄡᙹಽ

ӹ┡ԍᮝӹჶශ, ᳦Ʊ, ᔍ⫭ᕽእᜅ॒ᯝᇡᕽእᜅᔑᨦᮡࠥ᜽Ğᰢ ಆᨱᇡᱶᱢᯙᩢ⨆ᮥᵡ݅Łᵝᰆ⦹ᩡ݅. ⫊ᵡ(2009)ᮡ࠺ᦥ᜽ᦥ

ݡࠥ᜽ǭࠥ᜽ᖒᰆ᫵ᯙᨱš⦽እƱᩑǍᨱᕽࠥ᜽ᖒᰆᨱᩢ⨆ᮥ

ၙ⊹۵᫵ᗭॅᮥᇥᕾ⦹ᩡ݅. ᩑǍđŝᔑᨦᖒᰆᨱᩢ⨆ᮥၙ⊹۵

᫵ᗭॅᮡ✚⨩ᙹ, Ł⦺ಆᯙǍእᮉ, ᫙ǎᯙእᮉ, 1ᯙݚჵᴥၽᔾශ, 1ᯙݚŖᬱ໕ᱢᯥᮥၾ⩵݅. ੱ⦽ᔾᔑᯱᕽእᜅᨦ᮹ᖒᰆᨱᯩᨕ

ᕽᬙᮡᄁᯕḶ, ࠥ␥॒ŝzᯕᔢ᭥ə൚ᮥ⩶ᖒ⦹Łᯩᮝ໑ᕽᬙᮥ

ᱽ᫙⦽ ǎԕ ݡࠥ᜽ॅᮡ ᯝᅙ᮹ ᖁḥ ࠥ᜽ᨱ እ⦹ᩍ ᕽእᜅᨦ

ᖒᰆ᫵ᯙᯕԏḡอ࠺ᦥ᜽ᦥࠥ᜽ॅᨱእ⦹ᩍᔢ᭥ə൚ᨱᗮ⦽݅

Łᱽ᜽⦹ᩡ݅. ᯕ⬩(2011)ᮡᕽᬙ᜽ෝእ೐⦽6ݡŲᩎ᜽᮹₞᳑

ĥɪᯕᨕਁ⦽✚ḶᮥaḡŁᯩ۵ḡෝᇥᕾ⦹ᩡ݅. ᩑǍđŝ₞᳑

ĥɪᮡ݅ෙĥ⊖ᨱእ⧕Ł⦺ಆ, Łᗭाᯱᯕ໑, י࠺᜽eᯕᱢŁ, ᦩᱶᱢᯙ Ḣᨦᮥ aḡŁ ᯩŁ ᗭाᮡ ʑᚁšಉ Ḣ᳦ŝ ₞᳑ᱢ

ᱥྙaa׳݅۵äᮥၾ⩵݅. ੱ⦽ᕽᬙ✚ᄥ᜽᮹₞᳑ĥɪእᮉŝ

ḩᱢᯙᙹᵡᮡᖙĥݡࠥ᜽ᙹᵡᨱɝᱲ⦹໑ŲᵝŲᩎ᜽۵₞᳑ĥ ɪᯕaᰆ዁෕íᖒᰆ⦹Łᯩ݅Łᵝᰆ⦹ᩡ݅. ⦽⠙ʡᖒᮡ(2011)

ᮡᙹࠥǭ66}᜽ǑǍෝݡᔢᮝಽ₞᳑ᔑᨦᖒᰆᨱᩢ⨆ᮥၙ⊹۵

᫵ᯙᮥ ᇥᕾ⦽ đŝ 1996֥ᨱ۵ ᕾᔍ⦺᭥ ᗭḡᯱᙹ, ǎၝᩑɩ

a᯦ᯱᙹ, Ŗᩑ᜽ᖅᙹ, ᫙ǎᯙ⪝ᯙȡ⪵ᯱᙹa₞᳑ᔑᨦᖒᰆᨱ

ᩢ⨆ᮥၙ⊹۵᫵ᯙᮝಽӹ┡ԍᮝӹ2005֥ᨱ۵CEO(Ł᭥ᯥḢᬱ šญᯱၰݡ⢽ᯕᔍ)ᙹ, ḡ᜾ʑၹᕽእᜅᨦ᳦ᔍᯱእᮉ, Ŗᩑ᜽ᖅ ᙹ, ᜽Ǒၝ⫭šᙹ, ᅕᮂ᜽ᖅᙹ, ᫙ǎᯙ⪝ᯙȡ⪵ᯱᙹa₞᳑ᔑᨦ

ᖒᰆᩢ⨆᫵ᯙᯥᮥᱽ᜽⦹ᩡ݅. ʡᩢᵝ(2011)۵Floridaaᱽ᜽⦽

₞᳑ᖒ ᄡᙹa ᬑญӹ௝ ࠥ᜽ Ğᱽၽᱥᨱ ၙ⊹۵ ᩢ⨆ᮥ ᱥǎ

83 }ࠥ᜽ෝݡᔢᮝಽᇥᕾ⦹ᩡ݅. ᇥᕾđŝᱽ᳑ᨦᇡྙᯥɩᄡ⪵

ᮉᮡ₞᳑ĥ⊖ḡᙹၰᅕ⩅ၙᦩḡᙹ᪡ᮁ᮹ၙ⦽šĥaᯩᮝ໑

Łᬊᄡ⪵ᮉŝ۵ᯙᱢᯱᅙḡᙹ, ᅕ⩅ၙᦩḡᙹ, ݅ྙ⪵ḡᙹ, əญŁ

℉݉ᔑᨦḡᙹa ᮁ᮹ၙ⦽ šĥᯙ äᮥ ၾ⩵݅.

݅᧲ᖒ, šᬊᖒ, əญŁ⦹ᯕ▭Ⓧᔑᨦᖒᰆe᮹šĥෝá☁⦽

đŝʑᚁᱢ₞᳑ᖒŝྙ⪵ᱢ₞᳑ᖒeᨱ᧲(positive)᮹ᔢššĥ a ᳕ᰍ⦹໑ ᅕ⩅ၙᦩ ḡᙹ᪡ ⦹ᯕ▭Ⓧ ᔑᨦ᮹ Ḳᵲŝ۵ v⦽

ᔢššĥa ᳕ᰍ⧉ᮥ ၾ⩵݅.

₞᳑ࠥ᜽šಉǎԕᖁ⧪ᩑǍॅᮡTable 1ŝzᯕݡᇡᇥ₞᳑ᖒ

ḡ⢽(Talent, Technology, Tolerance ॒)aḡᩎĞᱽᖒᰆၰ℉݉

ᔑᨦŝᩑšᯕᯩ۵aᨱⅩᱱᮥ฿⇵ᨩ݅. ⦹ḡอᅙᩑǍ۵ǎԕ

ᖁ⧪ᩑǍ᪡₉ᄥ⦹ᩍ“₞᳑ᔑᨦᯙǍ᪡ᩑšᯩ۵ࠥ᜽Ǎ᳑۵ࠥ᜽

Ƚ༉ᄥಽᨕਅǍ᳑ᯙa?”௝۵ᩑǍ᮹ྙ(Research Question)ᮥ

wŁࠥ᜽Ƚ༉ᄥಽ₞᳑ᔑᨦᯙǍ᪡ ࠥ᜽Ǎ᳑᪡᮹šĥȽ໦ᨱ

Ⅹᱱᮥ ฿⇵ᨩ݅.

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Table 1. Indexes of Creative City by Literature Review in Korea

Researchers Indexes

Sohn, Y. S. (2009)

Bank, Inauguration Enterprise, Broadcast Media, R&D Facility, Venture Business, Urban Residents, Export Amount, Income, Financial Independence, Foreigners, Welfare Facility, Culture Facility, Culture Events, Cultural Assets, Greenbelt Area, Wild Animal and Plant Conservation District, Air Pollution

Park, H. S. (2011) Culture Facility, College, Cultural Assets, Foreigners, Culture Budget, Financial Independence, Creative Expert, Income Tax Lee, H. (2011) Residents, Foreigners, Employees, Local Tax, GRDP, Income, Labor Hours

Kim, Y. M. (2009) Urban Industry Employees, High Technology Employees, Creative Experts, Foreigners

Kim, S. E. (2011) Creative Industry Sales, Researchers, Childcare Facilities, Culture Events, Sightseeing Facilities, Parks, National Pension Members, Aging Facilities, Citizen Center

Kang, S. Y. (2011) Population Density, Population, Aging Index, Foreigners, Housing Supply, Housing Ownership, Apartment Rate, Deterioration Housing, Travel Pattern, Local Tax, Subway Stations

Kim, Y. J. (2011) Income, High-Tech Employment, Patent, Culture & Art Employees, Population, Foreigners, Urban Areas

Hwang, J. (2009) Service Industry Employees, Patent Registration, College Degree Possessors, Foreigners, Crime Occurrence, Green Space

Jung, Y. H. (2011)

Creative Industry Employees, College Degree Possessors, Foreign Employees, Urban Park Area, Researchers, Universities, Health Care Professions, Culture Space, Culture Events, Financial Independence, R&D Investment, Business Service employees, Internet Using Rate, Public Transit Commuters, International Enterprises

Kim, J. H. (2011) GRDP, Aging, Population Increase, Universities, Culture&Art Industry Employees, IT Industry Employees, Financial Independence, Culture Service, Social Welfare Service

Kim, Y. I. (2010)

Creative Industry Employees, Venture Business, International Investment Enterprises, Internet Using Rate, R&D Researchers, Foreign Employees, R&D Investment Amount, Public Library Budget, Cultural Assets, Culture Industry Employees, Intangible Cultural Assets, Culture Budgets, Culture Related Government Officers, Local Culture Events

Table 2. Indexes of Creative City by Florida (U.S.A)

Section Indexes Contents

Tech- nology

Innovation Number of Patents to Industrial Property Office High-Tech

Innovation Rate of Output for High-Tech Industry Talent Creative Class Rate of Creative Class People

Human Capital Rate of Bachelor Degree Holders Tole-

rance

Gay Rate of Homosexual Couple Bohemian Number of Culture and Art Professionals Melting Pot Rate of Registered Foreigners Source: Creative Class and Creative Capital, Lee, C. H. 2011.

Table 3. Indexes of Creative City by Florida (Europe)

Section Indexes Contents

Tech- nology

Innovation Rate of Persons for Patent High-Tech

Innovation Rate of Output for High-Tech Industry R&D R&D Expenditure/GDP

Talent

Creative Class Rate of Creative Class People Human Capital Rate of Bachelor Degree Holders Science Talent Rate of Science Technology Professionals Tole-

rance

Attitude Attitude to Social Handicaps One’s Value Values of Religion, Family, Divorce Self Expression Quality of Life, Reliance, Leisure, Culture Source: Creative Class and Creative Capital, Lee, C. H. 2011.

2.2 ଲߨճఝ

2.2.1 ఢ୺ܑਏԹڄ

Jane Jacobs(1961) ᮹“The Death and Life of Great American Cities”ᨱᕽ₞᳑ࠥ᜽۵ᯙe᮹₞᳑ᖒᮥ☖⦽⩢ᝁ(Innovation)ᮝ ಽᮁᩑ⦹Ł⫮ʑᱢᯕ໑₞᳑ᱢᯙࠥ᜽Ğᱽ᜽ᜅ▽ᮥw⇹ࠥ᜽௝

ᱽ᜽⦹ᩡᮝ໑Landry(2000)۵“The Creative City”ᨱᕽ₞᳑ࠥ

᜽۵ࠥ᜽ྙᱽᨱݡ⦽₞᳑ᱢ⧕đᮥ᭥⦹ᩍ₞᳑ᱢ⪹Ğᮥอॅᨕ

ᬕᩢ⧕ӹa۵ࠥ᜽௝ᱶ᮹⧩݅. ⦽⠙Florida(2002)۵“The Rise of Creative Class” ᨱᕽ₞᳑ࠥ᜽۵݅᧲⦽⩶┽᮹₞᳑ᖒᯕᐭญ

ෝԕญŁჩᖒ⧁ᙹᯩ۵Ųჵ᭥⦽₞᳑ᱢᔾ┽ĥᩍÕᮥᱽŖ⦹۵

ࠥ᜽ಽᕽĞᱽၽᱥ᮹3T(Talent, Technology, Tolerance)a⧉̹

ၽᱥ⦹۵ࠥ᜽௝ᱶ᮹⧩݅. ੱ⦽Masayuki(2007)ᨱ঑෕໕₞᳑

ࠥ᜽۵ࠥ᜽ᨱᕽ⩥ݡᩩᚁ᮹ ᨱթḡaչℱӹ໑᜽ၝᯕ∊ᇥ⯩

əäᮥ ᷱʙ ᙹ ᯩ۵ ࠥ᜽ᯕŁ ᩩᚁྙ⪵᮹ ₞᳑ᖒᮥ ᔑᨦᮝಽ

ᔕฑ₞᳑ᔑᨦǑ᮹ၽᱥᯕࠥ᜽Ğᱽ᮹ᔩಽᬕᨵḥᯕࡹᨕŁᬊŝ

ᇡෝอॅᨕԕ۵ࠥ᜽ᯕ໑᜽ၝ᮹ᯱ⊹᮹᜾ᯕ׳Ł, ᖙĥ⪵ᩎపᮥ

⣩ᮡ ࠥ᜽௝Ł ᵝᰆ⦹ᩡ݅.

2.2.2 ఢ୺ܑਏ஺ඝ

₞᳑ࠥ᜽ḡ⢽۵₞᳑ࠥ᜽᮹ḩᱢᙹᵡᮥᱶపᱢᮝಽ⊂ᱶ⦹ʑ

᭥⦽ḡ⢽ಽᕽǎa✚ᖒ, ࠥ᜽✚ᖒ, ᩑǍᯱ॒ᨱ঑௝݅᧲⦹í

ᱽ᜽ࡹᨩᮝӹ⥭ಽญ݅᪡ၙᔍᮁ┅᮹₞᳑ࠥ᜽ḡ⢽aݡ⢽ᱢᯕ݅.

(4)

Table 4. Indexes of Creativity by Masayuki

Indexes Contents

Creative

Activities Rate of Artists, Scientists, Artisans Urban Life Income and Leisure Time,

Expenditure of Cultural Activities Basis of Creative

Activities

Number of Universities, Education Institutes, Theaters Historic Heritage Number of Cultural Properties and

Preservation Condition Economic Balance Number of Inaugurated and

Discontinued Businesses Citizen Activities Activities of NPO and

Women Social Participation Administration

Operation Financial Situation and Administrative Ability

Urban Size Classification

Indexes of Urban Structure Classification

Survey to Urban Experts

Analysis of Indexed of Urban Structure

Analysis of Creative Industry Population and Urban Structure based on Urban Sizes

Metropolitan City Large City Medium & Small City Fig. 1. Research Flows for the Analysis of Creative Industry

Population and Urban Structure

Table 5. Classification of Urban Sizes

Urban Sizes Cities

Metropolitan Cities

Seoul, Busan, Daegu, Incheon, Kwangju, Daejeon, Ulsan

Large Cities

Suwon, Sungnam, Anyang, Buchun, Ansan, Goyang, Namyangju, Yongin, Hwasung, Chungju, Chunan,

Junju, Pohang, Changwon, Kimhae

Small&

Medium Cities

18 Cities in Gyeonggi Province, 7 Cities in Kangwon Province, 2 Cities in Chungbuk Province, 5 Cities in Chungnam Province

5 Cities in Jeonbuk Province, 5 Cities in Jeonnam Province, 9 Cities in Gyeongbuk Province, 8 Cities in Gyeongnam Province

⥭ಽญ݅۵ə᮹ᱡᕽ“₞᳑ĥɪ᮹ࠥ௹(2002)”ᨱᕽࠥ᜽᮹ჩᩢ

ᮡ₞᳑ᖒᯕ⣮ᇡ⦽ᯙᰍᨱݍಅᯩ݅Łḡᱢ⦹໑₞᳑ᱢĥɪᯕ

ᖁ⪙⦹۵ ḡᩎ᮹ ᔍ⫭ᱢ ⪹Ğᨱ ᵝ༊⦹ᩍ Table 2, Table 3ŝ

zᯕ ၙǎŝ ᮁ౞ᨱ ᱢ⧊⦽ ʑᚁ, ᯙᰍ, šᬊᮥ ᱽ᜽⦹ᩡ݅.

ʑᚁᮡ✚⨩, ℉݉ʑᚁ, ᩑǍ}ၽ॒᮹ᇥ᧝ෝݡ⢽⦹໑ᯙᰍ۵

₞᳑ᔑᨦ᳦ᔍᯱ, Ł⦺ಆᯱ, ŝ⦺ʑᚁ᳦ᔍᯱ॒ᮥݡ⢽⦹Łšᬊᮡ

݅᧲⦽ྙ⪵, ၝ᳒, ᳦Ʊ॒ᨱݡ⦽⡍ᬊᖒŝ}ႊᖒᮥݡ⢽⦽݅.

⦽⠙ၙᔍᮁ┅۵ᯙǍ45อ໦ᯕÑᵝ⦹۵ᯝᅙ᮹ᱥ☖ࠥ᜽aӹ

ᯱ᪡㏠ᔍಡᇥᕾᮥ☖⦹ᩍTable 4᪡zᯕ₞᳑ࠥ᜽ḡ⢽ෝ₞᳑ᱢ

⪽࠺, ࠥ⫭ᱢ ᔾ⪽, ₞᳑⪽࠺᮹ ʑၹ, ᩎᔍᱢ ᮁᔑ, ࠥ᜽⪹Ğŝ

ᨕີܩ❑, Ğᱽʑၹ᮹Ɂ⩶, ᜽ၝ⪽࠺, ⧪ᱶᬕᩢ॒ᮥᱽ᜽⦹ᩡ݅.

3. ᩑǍႊჶ

₞᳑ࠥ᜽ෝ᳑ᖒ⦹۵⧖ᝍᱢᯙ᫵ᗭᯙ₞᳑ᔑᨦᯙǍ۵ࠥ᜽᮹

ᔾᔑᖒᮥ⨆ᔢ᜽⍽ࠥ᜽ᖒᰆᮥčᯙ⦹۵ᵲ⇵ᱢᯙᩎ⧁ᮥ⦽݅.

₞᳑ᔑᨦᯙǍaࠥ᜽Ƚ༉ၰࠥ᜽Ǎ᳑

1)

₉ᯕᨱ঑௝ᨕਁ⦽šĥ aᯩ۵aෝȽ໦⦹ʑ᭥⧕Fig. 1ŝzᯕࠥ᜽ෝȽ༉ᄥಽǍᇥ⦹

Łࠥ᜽Ǎ᳑ḡ⢽ෝࠥ⇽⦽⬥ᱥྙaᖅྙᮥ☖⦹ᩍᵲ᫵ࠥ᜽Ǎ᳑

ḡ⢽ෝ❭ᦦ⦹ᩍ₞᳑ᔑᨦᯙǍ᪡ࠥ᜽Ǎ᳑᪡᮹šĥෝ݅ᵲ⫭ȡ ᇥᕾ⦹ᩡ݅. ࠥ᜽Ƚ༉۵ Table 5᪡ zᯕ ᱥǎ ᜽ɪ ᯕᔢ 82}

ࠥ᜽ෝᯙǍȽ༉ᄥಽᕽᬙ✚ᄥ᜽ၰ6ݡŲᩎ᜽, ݡࠥ᜽

2)

, ᵲᗭࠥ

1)ࠥ᜽Ǎ᳑۵ᔍ⫭Ǎ᳑(social structure), ĞᱽǍ᳑(economic structure), ᯙǍǍ᳑(population structure) ॒እŖeᱢࠥ᜽Ǎ᳑᪡ྜྷญᱢ⪹Ğ ŝ᜽ᖅᮥݡ⢽⦹۵Ŗeᱢࠥ᜽Ǎ᳑(spatial structure)ಽǍᖒࢉ(י⇹

⯍, ࠥ᜽⦺}ು)

2)ḡႊᯱ⊹ჶᱽ175᳑ᨱᕽݡࠥ᜽۵ᕽᬙ✚ᄥ᜽᪡Ųᩎ᜽ෝᱽ᫙⦽ᯙǍ

3)

ಽǍᇥ⦹ᩡ݅. ݡࠥ᜽۵ᙹᬱ, ℎᵝ, ₞ᬱ॒15}᜽ෝ⡍⧉⦹

ᩡᮝ໑ ᵲᗭࠥ᜽۵ ⠪┾, ʡ⃽, ḥᵝ ॒ 60}᜽ෝ ⡍⧉⦹ᩡ݅.

ࠥ᜽Ǎ᳑۵ ₞᳑ࠥ᜽ šಉ ᖁ⧪ᩑǍᨱᕽ ᱽ᜽ࡽ ࠥ᜽ḡ⢽

(Table 1) ᵲ ࠥ᜽Ǎ᳑ šಉ ḡ⢽ෝ ⇵⇽⦹ᩍ ə ✚ᖒᨱ ঑௝

Table 6 ŝzᯕŖeᱢࠥ᜽Ǎ᳑ᇥ᧝᪡እŖeᱢࠥ᜽Ǎ᳑ᇥ᧝ಽ

Ǎᇥ⦹ᩡᮝ໑Ŗeᱢࠥ᜽Ǎ᳑ᇥ᧝۵⪹Ğ᜽ᖅ, ᅖḡ᜽ᖅ, ᔾ⪽᜽

ᖅᇡྙ॒ᮝಽǍᇥࡹŁእŖeᱢࠥ᜽Ǎ᳑ᇥ᧝۵ྙ⪵, ᔍ⫭, Ğᱽ ॒᮹ ᇡྙᮝಽ Ǎᇥ⦹ᩡ݅.

ࠥ᜽Ǎ᳑᮹✚ᖒᨱ঑௝ǍᇥࡽŖeᱢࠥ᜽Ǎ᳑ḡ⢽᪡እŖe ᱢࠥ᜽Ǎ᳑ḡ⢽۵ᱥǎ᮹₞᳑ࠥ᜽šಉᱥྙaॅᨱ᮹⦽ᖅྙ᳑

ᔍෝ ☖⦹ᩍ ᵲ᫵ࠥෝ ❭ᦦ⦹ᩡ݅.

50อ ᯕᔢ᮹ ࠥ᜽ಽ ᱽ᜽ࢉ

3) ḡႊᯱ⊹ჶᱽ175᳑ᨱᕽᵲᗭࠥ᜽۵Ųᩎ᜽ၰݡࠥ᜽ෝᱽ᫙⦽ᯙǍ

50อ ၙอ ࠥ᜽ಽ ᱽ᜽ࢉ

(5)

Table 6. Indexes of the Urban Structure of Creative City by Preceding Researches

Division Section Indexes of Urban Structure

Non- Spatial Urban Structure

Culture

Number of Culture Space

Number of People for Intangible Cultural Assets Number of National · Local Designated Cultural Assets

Number of Culture Events Number of Local Festivals Number of Artists

Number of Visitors for Sightseeing

Society

Population Increase Rate Population Density Unemployment Rate

Rate of Increasing Housing Price Rate of Aging

Number of Foreigners Number of Naturalized Persons

Economy GRDP

Amount of Export Employment of Foreigners Income Tax per Person

Rate of Knowledge Base Industries Number of Venture Business

Number of Foreign Investment Enterprises

Spatial Urban Structure

Environ- ment Facilities

Number of Parks Number of Creeks

Number of Environment Pollution Discharge Management Facilities

Number of Air Pollution Management Facilities Number of Wild Animal and Plant Conservation District Designations

Amount of Greenbelt Area Number of Water Quality Facilities

Welfare Facilities

Number of Aging Welfare Facilities Number of Children Welfare Facilities Number of Handicap Welfare Facilities Number of Woman Welfare Facilities Number of Bed Hospitals

Number of Professions for Health Care Members of National Pension

Community Facilities

Number of NGOs

Number of Local Broadcast Medias Number of Banking Facilities Number of R&D Facilities

Investment Amount to R&D per Researcher Number of Public Library

Number of people Using Superhigh Speed Internet

ࠥ᜽Ǎ᳑ḡ⢽ॅᨱݡ⦽ᱥྙaᖅྙᮡᱥǎᨱᗭᰍ⦽₞᳑ࠥ᜽

šಉᩑǍᬱ, ݡ⦺Ʊ, ŖŖʑš, ၝeʑᨦℕ, šŖᕽᨱɝྕ⦹۵

ᱥྙa108໦ᮥݡᔢᮝಽ2011֥11ᬵᬑ⠙ၰᯕີᯝᮥᯕᬊ⦽

ᖅྙ᳑ᔍෝ☖⧕bḡ⢽᮹ᵲ᫵ࠥෝ‘ๅᬑᵲ᫵⦹ḡᦫᮭ’, ‘ᵲ᫵⦹

ḡᦫᮭ’, ‘ᅕ☖‘, ‘ᵲ᫵’, ‘ๅᬑᵲ᫵’, ॒5ᱱLikert ⃺ࠥಽᖅྙ⦹ᩡ݅.

⦽⠙₞᳑ᔑᨦᯙǍ۵₞᳑ᔑᨦᨱɝྕ⦹۵ɝಽᯱॅಽᕽᩢǎ

ྙ⪵ၙॵᨕℕᮂᇡ(DCMS)ᨱᕽᱽ᜽⦽₞᳑ᔑᨦᮥʑᵡᮝಽ⦽ǎ

⢽ᵡᔑᨦᇥඹᨱ঑௝ǎԕ₞᳑ᔑᨦᮥᖅᱶ⦹ᩡ݅. ᖅᱶࡽ₞᳑ᔑ ᨦᨱݡ⦽ᯙǍ۵ᱥǎ᜽ǑǍ᮹ᔑᨦᗭᇥඹʭḡǍᇥࡽᱥǎᔍᨦ ℕ᳑ᔍ

4)

(☖ĥℎ)ᨱᕽᱽ᜽ࡽᯱഭෝ⪽ᬊ⦹ᩡ݅. ݅᧲⦽ࠥ᜽Ǎ᳑

ḡ⢽ᵲᱥྙaᖅྙ᳑ᔍᨱ᮹⧕₞᳑ᔑᨦᯙǍᨱᵲ᫵⦽ᩢ⨆ᮥ

ၙ⋁äᮝಽࠥ⇽ࡽࠥ᜽Ǎ᳑ḡ⢽ॅᮡ⫭ȡᇥᕾᮥ☖⦹ᩍࠥ᜽Ƚ

༉ᄥಽ ₞᳑ᔑᨦ ᯙǍ᪡᮹ šĥෝ ᇥᕾ⦹ᩡ݅.

݅ᵲ⫭ȡᇥᕾᮡEq. (1)ŝzᯕ᳦ᗮᄡᙹ۵₞᳑ᔑᨦᯙǍಽ

ᖅᱶ⦹ᩡŁࠦพᄡᙹ۵ࠥ᜽Ǎ᳑ḡ⢽a⪽ᬊࡹᨩᮝ໑bḡ⢽᮹

☖ĥᯱഭ۵ ǎa☖ĥ ⡍▙, ⦽ǎࠥ᜽☖ĥ, ☖ĥᩑᅕ ॒ ǎa᪡

ḡᯱℕᨱᕽ ၽe⦽ ᅕŁᕽෝ ☖⦹ᩍ ᙹḲ⦹ᩡ݅.

² á ƀ

×

âƀ

Î

±

Î

âƀ

Ï

±

Ï

âƀ

Ð

±

Ðâ

ƀ

ƉàÎ

±

ƉàÎ

âƃ (1)

ᩍʑᕽ

Y = ᳦ᗮᄡᙹ(₞᳑ᔑᨦ ᯙǍ)

±

Î

ì±

Ï

ìzì±

ƉàÎ

= ࠦพᄡᙹ(ࠥ᜽Ǎ᳑ ḡ⢽)

ƀ

×

ìƀ

Î

ìzìƀ

ƉàÎ

= ⇵ᱶ⧕᧝ ࢁ k}᮹ ⫭ȡĥᙹ ƃ = ᪅₉

ᖁ┾ࡽࠦพᄡᙹॅᮡŖᖁᖒáḥŝ⫭ȡ༉⩶ᱢ⧊ᨱⓑᩢ⨆ᮥ

ၙ⊹۵ᯱഭෝ₟ᦥԕ۵ᩢ⨆ḥ݉ʑჶᮥᔍᬊ⦹ᩍb༉⩶ษ݅

ᯕᔢᱱॅᮥᱽ᫙⦽ᯱഭෝᔍᬊ⦹ᩍᇥᕾ⦹ᩡ݅. ᩩ⊂༉⩶᮹ᮁ᮹ ᖒᮡR-squaresŝF-ᮁ᮹⪶ශsᮝಽá☁⦹ᩡᮝ໑༉⩶ԕᨱᕽ᮹

ࠦพᄡᙹᮁ᮹ᖒᮡP-ᮁ᮹⪶ශsᯕ0.05 ᯕ⦹ᯕ໕᳦ᗮᄡᙹ᪡ࠦ

พᄡᙹeᨱ ᮁ᮹⦽ šĥa ᯩ۵ äᮝಽ ⧕ᕾ⦹ᩡ݅.

4. ࠥ᜽Ǎ᳑ḡ⢽ᵲ᫵ࠥᇥᕾ

ࠥ᜽Ǎ᳑۵እŖeᱢࠥ᜽Ǎ᳑᪡Ŗeᱢࠥ᜽Ǎ᳑ᇥ᧝ಽǍᇥ

ࡹ໑እŖeᱢࠥ᜽Ǎ᳑ᇥ᧝۵ᔍ⫭, Ğᱽ, əญŁྙ⪵ᇡྙᮝಽ

Ǎᇥ⦹ŁŖeᱢࠥ᜽Ǎ᳑ᇥ᧝۵ᅖḡ᜽ᖅ, ⪹Ğ᜽ᖅ, ᔾ⪽᜽ᖅ

ᇡྙᮝಽǍᇥ⦹ᩡ݅. ࠥ᜽Ǎ᳑᮹ᇡྙᄥᵲ᫵ࠥ۵₞᳑ࠥ᜽šಉ

ᮥᩢ᭥⦹Łᯩ۵༉ुᔍᨦℕ(Ŗᰆ, ᔢᱱ, ᯲ᨦᰆ, Ųᨦᗭ, ׮ᰆ, ⇽ᰆᗭ,

ᩢᨦᗭ, ᅙᔍᅙᱱ, ᩑ௞ᔍᨦᗭࠥ ᄥ}᮹ ᳑ᔍ݉᭥)ෝ ᳑ᔍ݉᭥ಽ

⦹۵ 1֥ ᵝʑ᮹ ᩑe᳑ᔍ

(6)

Table 7. Degree of Importance of Sectional Urban Structure Division Section Importance Std. Deviation Order Non- Spatial

Urban Structure

Culture 3.8519 1.33125 1

Society 3.6759 .97471 4

Economy 3.6296 1.22736 6

Spatial Urban Structure

Welfare Facilities 3.7685 1.11579 2 Environment Facilities 3.7407 1.12217 3 Community Facilities 3.6667 1.01392 5

Table 8. Analysis of Multi-Regression for Non-Spacial Urban Structure

Culture R-Square F Value Prob> F

.545 64.99 .000

Source Non Std. Coeff. Std. Coeff. t - Value

p - Value B Std. Error Beta

Variable .597 .301 1.986 .050

Culture Space .535 .090 .509 5.965 .000

Culture Events .347 .097 .305 3.573 .001

Society R-Square F Value Prob> F

.257 19.52 .000

Source Non Std. Coeff. Std. Coeff. t - Value

p - Value B Std. Error Beta

Variable 1.636 .341 4.802 .000

Unemploy-me

nt Rate .362 .082 .397 4.417 .000

Population

Increase .203 .083 .220 2.450 .016

Economy R-Square F Value Prob> F

.325 26.681 .000

Source Non Std. Coeff. Std. Coeff. t - Value

p - Value B Std. Error Beta

Variable .774 .417 1.856 .066

GRDP .555 .102 .476 5.455 .000

Venture

Business .226 .105 .188 2.158 .033

Table 9. Analysis of Multi-Regression for Spacial Urban Structure Welfare

Facilities

R-Square F Value Prob> F

.347 29.38 .000

Source Non Std. Coeff. Std. Coeff. t - Value

p - Value B Std. Error Beta

Variable 1.170 .352 3.323 .001

Bed

Hospitals .368 .114 .331 3.243 .002

Children

Welfare .327 .101 .330 3.230 .002

Environment Facilities

R-Square F Value Prob> F

.421 39.86 .000

Source Non Std. Coeff. Std. Coeff. t - Value

p - Value B Std. Error Beta

Variable 1.888 .298 3.986 .000

Environment

Pollution .435 .123 .427 3.533 .001

Air Pollution .263 .120 .264 2.183 .031 Community

Facilities

R-Square F Value Prob> F

.141 9.78 .000

Source Non Std. Coeff. Std. Coeff. t - Value

p - Value B Std. Error Beta

Variable 2.103 .365 5.759 .000

Banking .246 .101 .241 2.447 .016

R&D .217 .093 .229 2.323 .022

ᱥྙaᨱ᮹⧕⠪aࡹᨕTable 7ŝzᯕእŖeᱢࠥ᜽Ǎ᳑ᇥ᧝ᨱ ᕽ۵ྙ⪵, ᔍ⫭, Ğᱽᇡྙᙽᮝಽ₞᳑ᔑᨦᯙǍᮁᯙᨱᵲ᫵⦽

äᮝಽӹ┡ԍᮝ໑Ŗeᱢࠥ᜽Ǎ᳑ᇥ᧝ᨱᕽ۵ᅖḡ᜽ᖅ, ⪹Ğ᜽

ᖅ, ᔾ⪽᜽ᖅᇡྙᙽᮝಽ₞᳑ᔑᨦᯙǍᮁᯙᨱᵲ᫵⦽äᮝಽ

ӹ┡ԍ݅.

4.1 णվԩୡܑਏ֜୺ंઉଭண૬஺ඝ

እŖeᱢࠥ᜽Ǎ᳑۵ྙ⪵, ᔍ⫭, ĞᱽᇡྙᮝಽǍᇥࡹ໑b

ᇡྙ᮹ ࠥ᜽Ǎ᳑ḡ⢽ ᵲ ₞᳑ᔑᨦ ᯙǍ ᮁᯙᨱ ᵲ᫵⦽ ᩢ⨆ᮥ

ၙ⊹۵ḡ⢽۵Table 7ᨱᕽᱽ᜽ࡽእŖeᱢࠥ᜽Ǎ᳑(ྙ⪵, ᔍ⫭, Ğᱽ) ᇡྙᮥ᳦ᗮᄡᙹಽᖅᱶ⦹ŁTable 6᮹ࠥ᜽Ǎ᳑ḡ⢽᮹

ᵲ᫵ࠥෝࠦพᄡᙹಽᖅᱶ⦹ᩍ݅ᵲ⫭ȡᇥᕾᮥ☖⦹ᩍࠥ⇽⦹ᩡ݅.

ྙ⪵ᇡྙᨱᕽ۵Table 8ŝzᯕྙ⪵Ŗe(⢽ᵡ⪵ĥᙹ0.509)ŝ

ྙ⪵⧪ᔍ(⢽ᵡ⪵ĥᙹ 0.305)a ᵲ᫵⦽ ḡ⢽ಽ ӹ┡ԍᮝ໑ ᯕॅ

ḡ⢽ॅ᮹ྙ⪵ᇡྙᵲ᫵ࠥᨱݡ⦽ᖅ໦ಆᮡ᧞55%ಽӹ┡ԍ݅.

⦽⠙ᔍ⫭ᇡྙᨱᵲ᫵⦽ᩢ⨆ᮥၙ⊹۵ḡ⢽۵ᝅᨦශ(⢽ᵡ⪵ĥᙹ

0.397)ŝᯙǍ᷾a(⢽ᵡ⪵ĥᙹ0.220)ಽӹ┡ԍᮝ໑ᯕॅḡ⢽ॅ

ᯕᔍ⫭ᇡྙᵲ᫵ࠥᨱݡ⦽ᖅ໦ಆᮡ᧞26%ಽԏíӹ┡ԍ݅.

ੱ⦽ Ğᱽᇡྙᨱ ᩢ⨆ᮥ ၙ⊹۵ ḡ⢽۵ ḡᩎ ᔾᔑ(⢽ᵡ⪵ĥᙹ

0.476) ŝᄅ⃹ʑᨦ(⢽ᵡ⪵ĥᙹ0.188)ᮝಽӹ┡ԍᮝ໑ᯕॅḡ⢽

ॅᯕ Ğᱽᇡྙ ᵲ᫵ࠥᨱ ݡ⦽ ᖅ໦ಆᮡ ᧞ 32%ಽ ӹ┡ԍ݅.

4.2 վԩୡܑਏ֜୺ண૬஺ඝ

Ŗeᱢࠥ᜽Ǎ᳑۵ᅖḡ᜽ᖅ, ⪹Ğ᜽ᖅ, ᔾ⪽᜽ᖅᇡྙᮝಽǍᇥ

ࡹ໑bᇡྙ᮹ࠥ᜽Ǎ᳑ᵲ᫵ḡ⢽ࠥ⇽ᮡTable 7ᨱᕽᱽ᜽ࡽ

Ŗeᱢࠥ᜽Ǎ᳑(ᅖḡ᜽ᖅ, ⪹Ğ᜽ᖅ, ᔾ⪽᜽ᖅ) ᇡྙᮥ᳦ᗮᄡᙹ

ಽᖅᱶ⦹ŁTable 6ŝzᮡࠥ᜽Ǎ᳑ḡ⢽᮹ᵲ᫵ࠥෝࠦพᄡᙹಽ

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Table 10. Importance Indexes of Urban Structure for Creative City Non-Spacial Urban Structure Spacial Urban Structure

Culture Space Bed Hospitals

Culture Events Children Welfare Unemployment Rate Environment Pollution

Population Increase Air Pollution

GRDP Banking

Venture Business R&D

Table 11. Analysis of Multi-Regression for the Urban Structure of Metropolitan Cities

Model R-Square F Value Prob> F

.993 861.26 .000

Source Non Std. Coeff. Std. Coeff. t - Value

p - Value B Std. Error Beta

Variable -14047.084 5315.077 -2.643 .046 Culture

Events 39.333 1.340 .997 29.347 .000

*Considerable at the level of 95%

Table 12. Analysis of Multi-Regression for the Urban Structure of Large Cities

Model R-Square F Value Prob> F

.655 14.26 .001

Source Non Std. Coeff. Std. Coeff.

t -Value p -Value B Std. Error Beta

Variable -1883.054 1686.339 -1.117 .286 Culture

Events 37.037 10.049 .613 3.686 .003

Culture

Space 75.297 30.994 .404 2.429 .032

*Considerable at the level of 95%

ᖅᱶ⦹ᩍ݅ᵲ⫭ȡᇥᕾᮥ☖⦹ᩍᙹ⧪⦹ᩡ݅. ᇥᕾđŝTable 9᪡

zᯕᅖḡ᜽ᖅᇡྙᨱᩢ⨆ᮥၙ⊹۵ḡ⢽۵᮹ഭʑš(⢽ᵡ⪵ĥᙹ

0.331)ŝᦥ࠺ᅖḡ᜽ᖅ(⢽ᵡ⪵ĥᙹ0.330)ಽӹ┡ԍᮝ໑ᯕॅḡ

⢽ॅᯕᅖḡ᜽ᖅᇡྙᵲ᫵ࠥᨱݡ⦽ᖅ໦ಆᮡ᧞35%ಽӹ┡ԍ݅.

⦽⠙⪹Ğ᜽ᖅᇡྙᨱᩢ⨆ᮥၙ⊹۵ḡ⢽۵⪹Ğ᪅ᩝšญ᜽ᖅ(⢽

ᵡ⪵ĥᙹ0.427)ŝݡʑ᪅ᩝšญ᜽ᖅ(⢽ᵡ⪵ĥᙹ0.264)ಽӹ┡

ԍᮝ໑ᯕॅḡ⢽ॅ᮹⪹Ğ᜽ᖅᇡྙᵲ᫵ࠥᨱݡ⦽ᖅ໦ಆᮡ᧞

42%ಽӹ┡ԍ݅. ੱ⦽ᔾ⪽᜽ᖅᇡྙᨱᩢ⨆ᮥၙ⊹۵ḡ⢽۵ɩᮖ ʑš(⢽ᵡ⪵ĥᙹ0.241)ŝᩑǍʑš(⢽ᵡ⪵ĥᙹ0.229)ᮝಽӹ┡

ԍᮝ໑ᯕॅḡ⢽ॅ᮹ᔾ⪽᜽ᖅᇡྙᵲ᫵ࠥᨱݡ⦽ᖅ໦ಆᮡ᧞

14%ಽ ๅᬑ ԏí ӹ┡ԍ݅.

₞᳑ࠥ᜽᪡šಉᯩ۵ᖁ⧪ᩑǍᨱᕽᱽ᜽ࡽࠥ᜽ḡ⢽ᨱɝÑ⧕

ࠥ⇽ࡽ42}᮹ࠥ᜽Ǎ᳑ḡ⢽᪡₞᳑ᔑᨦᯙǍ᪡᮹šĥෝᇥᕾ⦽

đŝTable 10ŝzᯕ12}᮹ࠥ᜽Ǎ᳑ḡ⢽a₞᳑ᔑᨦᯙǍ᪡

šĥa ᯩ۵ äᮝಽ ӹ┡ԍ݅.

5. ࠥ᜽Ƚ༉ᄥ₞᳑ᔑᨦᯙǍ᪡ࠥ᜽Ǎ᳑šĥᇥᕾ

ࠥ᜽Ğᱽ, ࠥ᜽ᔍ⫭, ࠥ᜽ྙ⪵, ࠥ᜽Ŗe॒݅᧲⦽ࠥ᜽Ǎ᳑

۵ࠥ᜽Ƚ༉ᨱ঑௝ⓑ₉ᯕaᯩᨕ₞᳑ᔑᨦᯙǍ᪡ࠥ᜽Ǎ᳑᪡

᮹šĥෝŲᩎ᜽, ݡࠥ᜽, ᵲᗭࠥ᜽ಽӹ٥ᨕࠥ᜽Ƚ༉ᄥಽᇥᕾ⦹

ᩡ݅.

5.1 ֈલਏ઩ছଭఢ୺ॺડ଴֜૕ܑਏ֜୺

ᕽᬙ✚ᄥ᜽ၰ6ݡŲᩎ᜽ᨱᕽ₞᳑ᔑᨦᯙǍ᪡ࠥ᜽Ǎ᳑ḡ⢽

ॅŝ᮹ šĥෝ ❭ᦦ⦹ʑ ᭥⧕ ᕽᬙ✚ᄥ᜽ ၰ Ųᩎ᜽ ₞᳑ᔑᨦ

ᯙǍෝ᳦ᗮᄡᙹಽᖅᱶ⦹ŁTable 10ᨱᕽᱽ᜽ࡽ₞᳑ᔑᨦᯙǍ

šಉᵲ᫵ࠥ᜽Ǎ᳑ḡ⢽ෝࠦพᄡᙹಽᖅᱶ⦹ᩍ݅ᵲ⫭ȡᇥᕾᮥ

⦹ᩡ݅. ᇥᕾđŝ Table 11ŝ zᯕ ࠥ᜽Ǎ᳑ ḡ⢽᮹ ₞᳑ᔑᨦ

ᯙǍᨱ ݡ⦽ ᖅ໦ಆᮡ ᧞ 99%ಽ ӹ┡ԍᮝ໑ ₞᳑ᔑᨦ ᯙǍᨱ

ᩢ⨆ᮥၙ⊹۵ḡ⢽۵12}ࠥ᜽Ǎ᳑ḡ⢽ᵲྙ⪵⧪ᔍ(⢽ᵡ⪵ĥᙹ

0.997)ಽ ӹ┡ԍ݅.

5.2 ۩ܑਏ઩ছଭఢ୺ॺડ଴֜૕ܑਏ֜୺

Ųᩎ᜽ෝᱽ᫙⦽ᱥǎ᮹ᯙǍ50อᯕᔢ15}ࠥ᜽ᨱᕽࠥ᜽Ǎ᳑

ḡ⢽ॅᯕ₞᳑ᔑᨦᯙǍ᪡ᨕਅšĥaᯩ۵ḡෝ❭ᦦ⦹ʑ᭥⦹ᩍ

ݡࠥ᜽₞᳑ᔑᨦᯙǍෝ᳦ᗮᄡᙹಽᖅᱶ⦹ŁTable 10ᨱᕽᱽ᜽

ࡽ₞᳑ᔑᨦᯙǍšಉᵲ᫵ࠥ᜽Ǎ᳑ḡ⢽ෝࠦพᄡᙹಽᖅᱶ⦹ᩍ

݅ᵲ⫭ȡᇥᕾᮥ⦹ᩡ݅. ᇥᕾđŝTable 12᪡zᯕࠥ᜽Ǎ᳑ḡ⢽

ॅ᮹₞᳑ᔑᨦᯙǍᨱݡ⦽ᖅ໦ಆᮡ᧞66%ಽӹ┡ԍᮝ໑12}

ᵲ᫵ࠥ᜽Ǎ᳑ ḡ⢽ ᵲ₞᳑ᔑᨦ ᯙǍᨱ ᩢ⨆ᮥၙ⊹۵ ḡ⢽۵

ྙ⪵⧪ᔍ(⢽ᵡ⪵ĥᙹ0.613)᪡ྙ⪵Ŗe(⢽ᵡ⪵ĥᙹ0.404)ᮝಽ

ӹ┡ԍ݅.

5.3 ணীܑਏ઩ছଭఢ୺ॺડ଴֜૕ܑਏ֜୺

ᯙǍȽ༉50อ໦ᯕ⦹᮹᜽ɪᯕᔢ60}ࠥ᜽ᨱᕽࠥ᜽Ǎ᳑

ḡ⢽ॅᯕ₞᳑ᔑᨦᯙǍ᪡ᨕਅšĥaᯩ۵ḡෝ❭ᦦ⦹ʑ᭥⧕

ᵲᗭࠥ᜽ ₞᳑ᔑᨦ ᯙǍෝ ᳦ᗮᄡᙹಽ ᖅᱶ⦹Ł Table 10ᨱᕽ

ᱽ᜽⦽ ₞᳑ᔑᨦ ᯙǍ šಉ ᵲ᫵ ࠥ᜽Ǎ᳑ ḡ⢽ෝ ࠦพᄡᙹಽ

ᖅᱶ⦹ᩍ݅ᵲ⫭ȡᇥᕾᮥ⦹ᩡ݅. ᇥᕾđŝTable 13ŝzᯕࠥ᜽

Ǎ᳑ḡ⢽ॅ᮹₞᳑ᔑᨦᯙǍᨱݡ⦽ᖅ໦ಆᮡ᧞53%ಽӹ┡ԍᮝ

໑₞᳑ᔑᨦᯙǍᮁᯙᨱᩢ⨆ᮥၙ⊹۵ḡ⢽۵ྙ⪵⧪ᔍ(⢽ᵡ⪵ĥ

ᙹ0.630)᪡⪹Ğ᪅ᩝšญ᜽ᖅ(⢽ᵡ⪵ĥᙹ0.275)ಽӹ┡ԍ݅.

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Table 13. Analysis of Multi-Regression for the Urban Structure of Medium & Small Cities

Model R-Square F Value Prob> F

.532 23.38 .000

Source Non Std. Coeff. Std. Coeff. t - value

p - value B Std. Error Beta

Variable -80.604 170.518 -.473 .638

Culture

Events 20.853 2.982 .630 6.993 .000

Environment

Pollution .417 .137 .275 3.034 .004

*Considerable at the level of 95%

Table 14. Indexes of Important Urban Structure in Different Urban Sizes

Urban Size

Indexes of Urban Structure Non-Spacial Urban

Structure Spacial Urban Structure Metropolitan Culture Events

Large Culture Events Culture Space

Small & Medium Culture Events Environment Pollution

݅᧲⦽ࠥ᜽Ǎ᳑ḡ⢽ᵲ⪹Ğ᪅ᩝšญ᜽ᖅᯕᵲᗭࠥ᜽ᨱᕽᵲ᫵

⦽ ḡ⢽ಽӹ┡ӽ äᮡ ᵲᗭࠥ᜽aŲᩎ᜽ ၰ ݡࠥ᜽ᨱእ⦹ᩍ

⪹Ğ᪅ᩝ႑⇽ᬱ(Ŗᰆ॒)ᯕฯᮡၹ໕ᨱ⪹Ğ᪅ᩝᬱᮥšญ⧁

ᙹ ᯩ۵ ᜽ᖅᮡ ๅᬑ ᩕᦦ⦹ʑ ভྙᯙ äᮝಽ ❱݉ࡽ݅.

঑௝ᕽ ⪹Ğ᪅ᩝ šญ᜽ᖅᮡ ᵲᗭࠥ᜽᮹ ᧲⪙⦽ ᯱᩑ⪹Ğᮥ

ᅕ᳕⦹Ł ᵝၝ᮹ ᔗ᮹ ḩŝ ⪹Ğ᮹ ḩᮥ }ᖁ᜽⍽ ᵲᗭࠥ᜽ෝ

ၽᱥ᜽⍽ ӹi ᙹ ᯩ۵ ᵲ᫵⦽ ࠥ᜽Ǎ᳑ ḡ⢽ಽ ӹ┡ԍ݅.

ࠥ᜽ Ƚ༉ᄥ ₞᳑ᔑᨦ ᯙǍ᪡ ࠥ᜽Ǎ᳑᪡᮹ šĥᇥᕾ đŝ

Table 14᪡zᯕࠥ᜽Ƚ༉ᨱšĥᨧᯕŖeᱢ·እŖeᱢࠥ᜽Ǎ᳑

ᵲྙ⪵Ǎ᳑a₞᳑ᔑᨦᯙǍᮁ᯦ᨱᩢ⨆ᮥၙ⊹໑✚⯩ྙ⪵⧪ᔍ a ₞᳑ᔑᨦ ᯙǍᨱ aᰆ ⓑ ᩢ⨆ᮥ ၙ⊹۵ äᮝಽ ӹ┡ԍ݅.

⦽⠙Ųᩎ᜽᪡ݡࠥ᜽ᨱᕽ۵Ŗeᱢࠥ᜽Ǎ᳑ᅕ݅۵እŖeᱢ

ࠥ᜽Ǎ᳑a₞᳑ᔑᨦᯙǍᨱⓑᩢ⨆ᮥၙ⊹۵äᮝಽӹ┡ԍᮝӹ

ᵲᗭࠥ᜽ᨱᕽ۵እŖeᱢࠥ᜽Ǎ᳑ᐱอᦥܩ௝Ŗeᱢࠥ᜽Ǎ᳑

ࠥ ₞᳑ᔑᨦ ᯙǍᨱ ᩢ⨆ᮥ ၙ⊹۵ äᮝಽ ӹ┡ԍ݅.

6. đು

21ᖙʑḡ᜾ᱶᅕᔍ⫭ᨱᕽ۵ɝಽᯱ᮹ᔗ᮹ḩ⨆ᔢ, י࠺᜽e

ᮁᩑ⪵, ᱶᅕ☖ᝁၰƱ☖᮹ၽݍᨱ঑ෙ᜽eᱢ·ŖeᱢÑญ}ֱ

ᗭ໙॒ᮝಽࠥ᜽⪹ĞᯕⓍíᄡ⪵⦹Łᯩᮝ໑ʑᨦॅᮡᮁ܆⦽

₞᳑ᱢᯙǍෝ⪶ᅕ⧁ᙹᯩ۵ࠥ᜽ᨱ᯦ḡ⦹۵Ğ⨆ᯕᱱ₉᷾a⦹

Ł ᯩ݅. ঑௝ᕽ ฯᮡ ḡᯱℕᨱᕽ۵ ₞᳑ᔑᨦ ᯙǍa ᖁ⪙⦹۵

ࠥ᜽Ǎ᳑᳑ᖒᨱⓑšᝍᯕᯩ݅. ₞᳑ᔑᨦᯙǍ᪡ࠥ᜽Ǎ᳑᪡᮹

šĥᨱݡ⦽ᩑǍđŝ₞᳑ᔑᨦᯙǍॅᯕᖁ⪙⦹۵ࠥ᜽۵ࠥ᜽᮹

Ƚ༉ᨱšĥᨧᯕࠦ✚⦽⇶ᱽ, ᮭ᜾, aྕ, ᩩᚁ, ᩎᔍ॒݅᧲⦽

ྙ⪵ᱢᯱᬱᮥ⪽ᬊ⦽ྙ⪵⧪ᔍaฯᮡŔᮥᖁ⪙⧉ᨱ঑௝ḡᯱℕ ᨱᕽ۵ࠥ᜽ྙ⪵ෝቭ௽ऽ⪵⦹Łྙ⪵⊽⪵ᱢ ࠥ᜽ၽᱥᱥఖᮥ

☖⦹ᩍ₞᳑ᱢᯙಆၰ₞᳑ʑᨦॅᨱíๅಆᱢᯙᵝÑ᪡ᨦྕ⪹Ğ

ᮥ ᳑ᖒ⧁ ᙹ ᯩࠥಾ יಆ⦹ᩍ᧝ ⦽݅.

✚⯩Ųᩎ᜽᪡ݡࠥ᜽ᨱᕽ۵ྙ⪵⧪ᔍ, ၝᗮᩩᚁᱥ᜽⧪ᔍ, ᮭᦦ

⇶ᱽ⧪ᔍ, əญŁॵᯱᯙšಉ⧪ᔍ॒݅᧲⦽ྙ⪵ᩩᚁ⧪ᔍᐱอ

ᦥܩ௝ࠥ᜽᮹ᮁ⮕Ŗeၰᯕᱥᱢḡ॒ᮥྙ⪵Ŗeᮝಽ⪽ᬊ⦹ᩍ

᧲⪙⦽ྙ⪵ၰᩩᚁ⪽࠺ᯕa܆⦹ࠥಾ᳑ᖒ⦹ᩍ₞᳑ᔑᨦᯙǍ

ᮁᯙᯕ᫵Ǎࡽ݅. ⦽⠙ᵲᗭࠥ᜽ᨱᕽ۵ࠥ᜽᮹ᮁǍ⦽ᱥ☖ŝᩎᔍ ᨱኼӹ۵ʑ᳕᮹ྙ⪵ᮁᔑᮥᱢɚ⪽ᬊ⦹۵⦽⠙ᩎᔍᅖᬱၰ

ᱥ☖ྙ⪵ĥ᜚ᮥ☖⦹ᩍbࠥ᜽᮹ྙ⪵ᱢ, ᩎᔍᱢᱶℕᖒᮥ⪶พ⦹

ᩍ᧝ā݅. ੱ⦽ᵲᗭࠥ᜽۵Ųᩎ᜽ၰݡࠥ᜽ᨱእ⦹ᩍʑၹ᜽ᖅᯕ

ᩕᦦ⧉ᨱ঑௝ࠥ᜽⪹Ğᮥ⏭ᱢ⦹í⧁ᙹᯩ۵⪹Ğ᪅ᩝšญ᜽ᖅ

॒ʑၹ᜽ᖅᨱ}ᖁᮥ☖⦹ᩍ᧲⪙⦽ᵝÑၰᨦྕ⪹Ğᮥ᳑ᖒ⦹ᩍ

᧝ā݅.

ᅙᩑǍᨱᕽᇥᕾ⦽ࠥ᜽Ǎ᳑ḡ⢽۵₞᳑ࠥ᜽šಉʑ᳕ᩑǍᨱ ᕽᱽ᜽ࡽḡᩎĞᱽᖒᰆၰ℉݉ᔑᨦŝᩑšᯕᯩ۵ḡ⢽ෝᵲᝍᮝ ಽ₞᳑ᔑᨦᯙǍ᪡᮹šĥෝᇥᕾ⦹ᩍࠥ᜽Ƚ༉ᄥ₞᳑ࠥ᜽᳑ᖒ

ᮥ ᭥⦽ ᱶ₦ႊ⨆ᮥ ᱽ᜽⦹ᩡ݅. ⦹ḡอ ⨆⬥ ᩑǍᨱᕽ۵ ᅕ݅

݅᧲⦽ࠥ᜽Ǎ᳑ḡ⢽ᖁᱶᮥ☖⧕ᝍ⊖ᱢᯙ ₞᳑ᔑᨦᯙǍ᪡᮹

šĥ ᇥᕾᮥ ☖⦽ ᱶ₦ႊ⨆ ᱽ᜽a ⦥᫵⦹݅.

References

Florida, R. (2002). The rise of the creative class, Basic Books, New York.

Gheem, I. C. (2009). The effects of creative climate on the regional economic growth and the total factor productivity of Korea firms, Ph. D Dissertation, Hansung University, Seoul, Korea (in Korean).

Hwang, J. (2009). A comparative study of urban growth factors for metropolitan areas in East Asia, Master's Thesis, Seoul National Universy, Seoul, Korea (in Korean).

Jacobs, J. (1961). The death and life of great american cities, Random House, New York.

Jung, Y. H. (2011). An analysis of major location factors for the creative industries according to Value Chains, Master’s Thesis, Hanyang University, Seoul, Korea (in Korean).

Kang, S. Y. and Lee, H. J. (2011). “The effects of local characteristics

on the urban creativity-focused on 25 districts in seoul-.” Journal

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of Korea Planners Associations, KPA, Vol. 46, No. 5, pp. 81-92 (in Korean).

Kim, H. J. and Park, K. P. (2010). “Spatial concentration and cluster of cities with creative class, technology, tolerance in Korea.”

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in Korea, Ph. D. Dissertation, Hanyang University, Seoul, Korea.

(in Korean).

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Kim, Y. M. (2009). The effect of urban competitiveness to creative city: Comparison between Korea and Japan, Master’s Thesis, Ewha Womans University, Seoul, Korea (In Korean).

Lee, C. H. (2011). “Creative class and creative capital: Critical Understanding Richard Florida's theory.” Korea Journal of Area Studies, Korean Association of Area Studies, Vol. 29, No. 1, pp.

109-131 (in Korean).

Lee, H. (2011). A study on the change and characteristic of urban creative class - focsuing on the change on creative class in Sroul and six largest cities, Master's Thesis, University of Seoul, Seoul, Korea (In Korean).

Sohn, Y. S. (2009). The development of an index evaluation model

for a creative city, Ph. D. Dissertation, Hongik University, Seoul,

Korea (in Korean).

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수치

Table 1. Indexes of Creative City by Literature Review in Korea
Table 4. Indexes of Creativity by Masayuki
Table 6. Indexes of the Urban Structure of Creative City by  Preceding Researches
Table 8. Analysis of Multi-Regression for Non-Spacial Urban Structure
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