7 research outputs found

    μ‚¬νšŒ λ„€νŠΈμ›Œν¬ 이둠에 κ·Όκ±°ν•œ 좩남 μžλ™μ°¨ λΆ€ν’ˆμ‚°μ—…μ˜ 지식 λ„€νŠΈμ›Œν¬ 뢄석 -λŒ€ν•™ 곡동 μ—°κ΅¬κ°œλ°œ ν”„λ‘œμ νŠΈλ₯Ό μ€‘μ‹¬μœΌλ‘œ

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    1. 연ꡬ λ°°κ²½ 및 λͺ©μ  지역 λ°œμ „ μ •μ±…μ˜ μƒˆλ‘œμš΄ νŒ¨λŸ¬λ‹€μž„μœΌλ‘œ λ„€νŠΈμ›Œν¬κ°€ λ°°νƒœλ˜λŠ” ν•œνŽΈ, μ„±μž₯의 κ·Όμ›μœΌλ‘œ μ§€μ‹μ˜ 역할이 κ°•μ‘°λ˜λŠ” κ°€μš΄λ°, κ΅­λ‚΄β€€μ™Έμ—μ„œλŠ” 지식 λ„€νŠΈμ›Œν¬λ₯Ό κ°•ν™”ν•˜κΈ° μœ„ν•œ λ…Έλ ₯듀이 경주되고 μžˆλ‹€. κ·ΈλŸ¬λ‚˜ κ·Έκ°„μ˜ λ…Έλ ₯은 λŒ€μ²΄λ‘œ κ±°λ²„λ„ŒμŠ€ 체계λ₯Ό κ΅¬μΆ•ν•˜κ±°λ‚˜ μƒˆλ‘œμš΄ 물리적 μ‹œμ„€μ„ μœ μΉ˜ν•˜λŠ” 데에 μ£Όμ•ˆμ μ„ 두어 μ™”κ³ , 지식 λ„€νŠΈμ›Œν¬λ₯Ό μ‹€μ²΄μ μœΌλ‘œ λ‹€λ£¨λ €λŠ” λ…Έλ ₯은 λ―Έμ•½ν•œ 츑면이 μžˆμ—ˆλ‹€. μΆ©λ‚¨μ˜ 신산업인 μžλ™μ°¨ λΆ€ν’ˆμ‚°μ—… λ˜ν•œ 지식 λ„€νŠΈμ›Œν¬μ— λŒ€ν•œ μ½”λ””λ„€μ΄νŒ…μ΄ ꡬ체적이라고 λ³΄κΈ°λŠ” μ–΄λ €μš΄ 상황이닀 - 이후 μƒλž΅μ œ 1 μž₯ μ„œ λ‘  1. 연ꡬ배경 1 (1) μ§€μ—­λ°œμ „ μ •μ±…μ˜ μƒˆλ‘œμš΄ νŒ¨λŸ¬λ‹€μž„μœΌλ‘œμ„œμ˜ λ„€νŠΈμ›Œν¬ 1 (2) μ„±μž₯의 κ·Όμ›μœΌλ‘œμ„œμ˜ 지식 1 (3) μΆ©λ‚¨μ˜ μ‹ μ„±μž₯ : μžλ™μ°¨ λΆ€ν’ˆμ‚°μ—… 2 2. 문제 제기 및 연ꡬ λͺ©μ  3 (1) 문제 제기 3 (2) 연ꡬ λͺ©μ  4 3. 연ꡬ방법둠 4 (1) λ„€νŠΈμ›Œν¬ μ—°κ΅¬μ˜ 일반적 동ν–₯κ³Ό μ‚¬νšŒ λ„€νŠΈμ›Œν¬ 뢄석 4 (2) μ„ ν–‰μ—°κ΅¬μ™€μ˜ 방법둠적 차별성 5 4. μ—°κ΅¬μ˜ 흐름 7 제2μž₯ λ„€νŠΈμ›Œν¬ 이둠에 λŒ€ν•œ λ¬Έν—Œ 연ꡬ 1. λ„€νŠΈμ›Œν¬ νŒ¨λŸ¬λ‹€μž„μ˜ 동인과 이둠 체계 8 (1) λ„€νŠΈμ›Œν¬ νŒ¨λŸ¬λ‹€μž„μ˜ 동인 8 (2) 닀쀑적 λ„€νŠΈμ›Œν¬ λΆ„λ₯˜ 체계와 κ·Όλ³Έκ°œλ… : μ‚¬νšŒ λ„€νŠΈμ›Œν¬ 이둠 11 (3) μ‚¬νšŒ λ„€νŠΈμ›Œν¬ 이둠의 νŠΉμ„± 13 2. λ„€νŠΈμ›Œν¬ 이둠의 곡간적 계보 15 3. λ„€νŠΈμ›Œν¬ μ—°κ΅¬μ˜ 동ν–₯ 및 κ΄€λ ¨ 연ꡬ 18 (1) λ„€νŠΈμ›Œν¬ μ—°κ΅¬μ˜ 동ν–₯ 18 (2) κ΄€λ ¨ 연ꡬ : μ‚¬νšŒ λ„€νŠΈμ›Œν¬ 뢄석을 μ€‘μ‹¬μœΌλ‘œ 19 제3μž₯ 연ꡬ섀계 1. λ„€νŠΈμ›Œν¬ 자료의 쟁점과 논리 23 (1) 쟁점 1 : μ–΄λ–€ λ„€νŠΈμ›Œν¬ 관계λ₯Ό λŒ€μƒμœΌλ‘œ ν•  것인가? 23 (2) 쟁점 2 : μ–΄λ–€ μ—°κ²° 강도λ₯Ό κ΄€κ³„μ˜ λ‹¨μœ„λ‘œ μ„€μ •ν•  것인가? 24 (3) 논리 1 : 지역에 λ°°νƒœλœ 지식생산 κ±°μ μœΌλ‘œμ„œμ˜ λŒ€ν•™ 24 (4) 논리 2 : κ°•ν•œ 연결에 μ˜ν•œ ν˜μ‹ νš¨κ³Ό 25 2. μ›μžλ£Œμ˜ 성격 및 가곡 26 (1) μ›μžλ£Œμ˜ 성격 26 (2) 자료의 가곡 26 3. 탐색 방법 30 (1) 뢄석 μ§€ν‘œμ— μ˜ν•œ 탐색 30 (2) μ‹œκ°ν™”μ— μ˜ν•œ 탐색 35 제4μž₯ 좩남 μžλ™μ°¨ λΆ€ν’ˆμ‚°μ—… 지식 λ„€νŠΈμ›Œν¬μ˜ νŠΉμ„± 1. λ„€νŠΈμ›Œν¬μ˜ ꡬ쑰적·곡간적 뢄석 37 (1) λ„€νŠΈμ›Œν¬μ˜ ν˜•νƒœ : 쒁은세상 λ„€νŠΈμ›Œν¬ 37 (2) λ„€νŠΈμ›Œν¬ μ°Έμ—¬κΈ°κ΄€μ˜ 곡간 뢄포 40 (3) λ„€νŠΈμ›Œν¬ νŒŒμ›ŒκΈ°κ΄€μ˜ λ„μΆœ 및 곡간적 νŠΉμ„± 45 2. λ„€νŠΈμ›Œν¬μ˜ μ‹œκ³„μ—΄μ  뢄석 53 (1) λ„€νŠΈμ›Œν¬μ˜ ꡬ쑰적 연계 ν˜•νƒœ λ³€ν™”, 2005λ…„-2007λ…„ 53 (2) λ„€νŠΈμ›Œν¬μ˜ 곡간적 연계 ν˜•νƒœ λ³€ν™”, 2005λ…„-2007λ…„ 57 3. λ„€νŠΈμ›Œν¬μ˜ 진화 기제 뢄석 60 (1) λ„€νŠΈμ›Œν¬μ˜ 진화 μœ ν˜• 60 (2) 좩남 μžλ™μ°¨ λΆ€ν’ˆμ‚°μ—… 지식 λ„€νŠΈμ›Œν¬μ˜ 진화 기제 62 제5μž₯ μ—°κ΅¬κ²°κ³Όμ˜ μš”μ•½ 및 μ •μ±… μ œμ–Έ 1. μ—°κ΅¬κ²°κ³Όμ˜ μš”μ•½ 66 2. μ •μ±… μ œμ–Έ 68 μ°Έκ³ λ¬Έν—Œ 70 뢀둝 1 : 좩남 μžλ™μ°¨ λΆ€ν’ˆμ‚°μ—… 지식 λ„€νŠΈμ›Œν¬μ˜ 연결쀑앙성 77 뢀둝 2 : 좩남 μžλ™μ°¨ λΆ€ν’ˆμ‚°μ—… 지식 λ„€νŠΈμ›Œν¬μ˜ 사이쀑앙성 81 뢀둝 3 : κ΅­λ‚΄ μžλ™μ°¨ λΆ€ν’ˆμ‚°μ—… μƒμœ„ 100개 κΈ°μ—… 8

    Relocation of Public Organizations and Construction of Innovative Cities : Urban Dynamics Analyses

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    이 μ—°κ΅¬μ—μ„œλŠ” μ‹œμŠ€ν…œμ  사고λ₯Ό 톡해 ν˜μ‹ λ„μ‹œ κ±΄μ„€ν”„λ‘œμ νŠΈκ°€ λŒ€λ‘λœ 논리뢀터 재 κ³ μ°°ν•˜λ©°, ν˜μ‹ λ„μ‹œκ°€ κ±΄μ„€λ˜μ–΄ λ„μ‹œ κΈ°λŠ₯을 μ„±κ³΅μ μœΌλ‘œ μ •μ°©μ‹œν‚€κ±°λ‚˜ μ•„λ‹ˆλ©΄ μ‹€νŒ¨ν•  μˆ˜λ„ μžˆλŠ” λ„μ‹œλ™νƒœμ„±μ˜ 원인과 κ²°κ³Όλ₯Ό μΈκ³Όμˆœν™˜μ  ꡬ쑰λ₯Ό 톡해 규λͺ…ν•΄ λ΄„μœΌλ‘œμ¨, ν˜μ‹  λ„μ‹œμ˜ 건섀과 κ΄€λ¦¬γ†μš΄μ˜κ³Ό μ—°κ΄€λœ 닀차원적인 μ΄μŠˆλ“€μ— λŒ€ν•œ 정책논리λ₯Ό κ°œλ°œν•˜λŠ” 데에 κΈ°μ—¬ν•˜κ³ μž ν•œλ‹€. μ΄λŸ¬ν•œ 연ꡬλͺ©μ μ„ λ‹¬μ„±ν•˜κΈ° μœ„ν•˜μ—¬ 이 μ—°κ΅¬μ—μ„œλŠ” ꡬ체적으둜 μ‹œμŠ€ν…œ λ‹€μ΄λ‚΄λ―ΉμŠ€ 및 μ–΄λ²ˆ λ‹€μ΄λ‚΄λ―ΉμŠ€ λ°©λ²•λ‘ μ—μ„œ κ°•μ‘°ν•˜κ³  μžˆλŠ” μ‹œμŠ€ν…œμ  사고와 이λ₯Ό λΆ„μ„γ†λ„κ΅¬ν™”ν•œ 인과지도(causal map) 기법을 μ΄μš©ν•˜μ—¬ κ³΅κ³΅κΈ°κ΄€μ˜ μ§€λ°©μ΄μ „κ³„νšμ— κ΄€ν•œ μ°¬λ°˜μ–‘λ‘ μ„ μ’…ν•©μ μœΌλ‘œ μ‘°λ§ν•œλ‹€. λ”λΆˆμ–΄, μœ μ‚¬μ‚¬λ‘€μ—μ„œ λ‚˜νƒ€λ‚œ λ™νƒœμ  νŠΉμ„±μ„ κ²€ν† ν•˜λ©°, ν˜μ‹ λ„μ‹œμ˜ 건섀에 λ”°λ₯Έ λ„μ‹œ κΈ°λŠ₯정착에 κ΄€ν•œ λ™νƒœμ„±μ˜ ν”Όλ“œλ°± ꡬ쑰도 μ²΄κ³„μ μœΌλ‘œ λΆ„μ„ν•œλ‹€. ν˜μ‹ λ„μ‹œμ˜ 건섀과 κ΄€λ ¨ν•˜μ—¬, ν˜μ‹ λ„μ‹œ 자체뿐만 μ•„λ‹ˆλΌ μˆ˜λ„κΆŒ, λΉ„μˆ˜λ„κΆŒ, μ£Όλ³€μ§€μ—­μ˜ λ„μ‹œλ™νƒœμ„±μ—λŠ” λ‹€μ–‘ν•œ μš”μΈλ“€μ˜ μƒν˜Έμž‘μš©μ΄ μ‘΄μž¬ν•˜λ©°, μ΄λŸ¬ν•œ μƒν˜Έμž‘μš© μš”μΈλ“€μ΄ μΌλ‹¨μ˜ μˆœν™˜μ  인과관계 ꡬ쑰λ₯Ό ν˜•μ„±ν•˜κ³ , μ„œλ‘œ 영ν–₯을 μ£Όκ³ λ°›λŠ”λ‹€λŠ” 점을 이 μ—°κ΅¬λŠ” ν™•μΈν•˜μ˜€λ‹€. ν˜μ‹ λ„μ‹œμ— κ΄€ν•œ μˆœν™˜μ  인과관계 ν”Όλ“œλ°± κ΅¬μ‘°μ—μ„œ μ΄ˆλž˜λ˜λŠ” λ‹€μ–‘ν•œ λ™νƒœμ  λ©”μΉ΄λ‹ˆμ¦˜μ˜ μ „λͺ¨λ₯Ό νŒŒμ•…ν•˜μ§€ μ•Šμ€ ν˜μ‹ λ„μ‹œ 건섀에 κ΄€ν•œ 일방적인 λ…Όμ˜λ‚˜ μ •μ±…μ˜ 수립 및 집행은 κ°λ‹Ήν•˜κΈ° μ–΄λ €μš΄ μ‚¬νšŒμ  λΉ„μš©μ„ λ°œμƒμ‹œν‚€κ±°λ‚˜ μΉ˜μœ ν•˜κΈ° μ–΄λ €μš΄ ν›„μœ μ¦μ„ 낳을 μˆ˜λ„ μžˆλŠ” λ°”, μ΄λŸ¬ν•œ μœ ν˜•μ˜ 연ꡬλ₯Ό κ±°λ“­ν•¨μœΌλ‘œμ¨ μ‚¬νšŒμ  λΉ„μš©μ„ μ΅œμ†Œν™”ν•˜κ±°λ‚˜ λΆ€μž‘μš©μ„ κ·Ήμ†Œν™”ν•  수 μžˆλŠ” μΌλ‹¨μ˜ ꡬ쑰λ₯Ό λͺ…ν™•ν•˜κ²Œ νŒŒμ•…ν•  수 μžˆλ„λ‘ μ‘°μ²˜ν•΄μ•Ό ν•œλ‹€. As part of the grand project for balanced territorial development, Korean government has been preparing tentative plans to build a dozen of innovative cities in the Non-Capital Region, all of which would accommodate the relocated Capital-based public organizations. Without due policy designs and application processes, however, the government initiatives have also caused d a series of supporting and opposing arguments. In sum, most of the current discussions are not fully adequate in explaining why the innovative cities are necessary and how they could benefit more balanced regional development. As an effort to address these issues, analytical logics for the proposed innovative cities are developed using urban dynamics models. To provide policy leverages, various development scenarios are simulated focusing on the expected growth and maturity of the innovative cities. The research findings indicate that the success of the proposed cities depends on the dynamic movement of the key variables, both from those cities and the Capital Region. They also point out that the Korean government may have to endure a huge amount of social cost or unwanted byproducts without due attention to the dynamic mechanisms embedded in the development process. Finally, it is concluded that the urban dynamics-oriented approach towards the innovative cities could assist the major stake-holders in developing robust and responsive policy initiatives given the current uncertainties

    Boost, Control, or Both of Housing Market: Key Issues in 831 Housing Policies

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    Over several decades, Korean government has overwhelmed private sectors in dealing with housing issues within its jurisdiction. Especially, the current Roh government has repeatedly stressed the fact that housing per se has been degenerated into major means towards accumulation of wealth and various social problems have arisen from the skyrocketing housing prices. In order to cope with housing issues in a broader perspective, the government did not hesitate to announce Comprehensive Real Estate Programs on August 31, 2005. In Korea, the so-called 831 Countermeasures has brought unprecedented arguments both for and against, most of whom still seem to stick to anecdotal or self-centered judgment ahead of objective criteria. In an integrated point of view, applying the traditional methodology of system dynamics (SD), the paper aims at proposing basic Korean housing dynamics models. It focuses on divulging major Causal Loop Diagrams (CLD) in Korean housing sector. Secondly, it observes how Korean housing market responds to a series of positive and negative impacts originated from the 8-31 Countermeasures. Between environmental and price factors, as the former exerts stronger impact on the positive loops, the study tries to develop policy guidelines hinged on an appropriate management of dynamic housing cycles, not to mention the price transfer into the neighboring areas. Thirdly, derived from simulation works, it proposes policy alternatives which would contribute to strengthening virtuous feedbacks and/or weakening vicious ones. Among them, the essential policy measure is given to how to minimize the governments direct involvement and how to boost housing markets role in deciding housing price. In the same vein, as the speculative or imputed demands always exist, policy alternative(s) based on housing attractiveness reflecting regional variation and price disparity should be given due attention
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