11 research outputs found
A Study on the Port Clustering-Ulsan Metropolitan City Case
Abstract
A Study on the Port Clustering
- Ulsan Metropolitan City Case οΌ
Song, Byung Gi
Recently, Korea has emphasized on the effort to maximize
efficiency on the national and regional economy as to carry out high-profitable logistics activities accompanying with constructing port-hinterland complexes to serve for a port and inviting logistics facilities and related-manufacturer strategically.
The study had been done in three main steps. Firstly, previous studies were reviewed theoretically, then a concept of a cluster was defined. Secondly the inter-relation analysis was explained, then it defined a concept of a port-logistics cluster. Finally, the strategy to building a port-logistics cluster in Ulsan was suggested using the year 2003-inter-industry relation tables of the Bank of Korea(404 classifications) and Ulsan(153 classifications).
The summarized results from this study are shown below.
First of all, The concept of a port-logistics business is defined. The previous studies on a port-logistics cluster emphasized on forwarding capacity of ports and defined the cluster as a cluster of a port and directly-related businesses. However, a port is highly related to the businesses depending on in-out-freight from the port and so the port-logistics cluster is defined as a cluster of ships, freight, and companies, which is the final consumers of freight.
Secondly, it is classified organizationally for related and depended industries to the port-logistics business. The classification done by the inter-industry relation table of the Bank of Korea is extended further from the classification of industries related a port, which was already handled in the previous studies.
Thirdly, the inter-relation analysis for national and local level is carried out simultaneously. A cluster, in which companies, public institutions, and research centers are placed together, is affected by the economy of the location where a cluster is located. Thus, an analysis based on the local inter-industry relation table is essentially required for a quantitative analysis. In this study, the inter-industry relation tables of the Bank of Korea and Ulsan are compared and analysed and then the results are also compared and analysed. From the result, the port-logistics business has high-ripple effect and needed to invest as a local strategic industry. On the other side, traditional freight business has low-ripple effect. As shown in the result, a strategic investment on the port-logistics business is required.
Finally, the strategy to build a port-logistics cluster is suggested by analysing factors about the pre and post effects on the inter-industry relation table and selecting businesses for invitation. For the cluster in Ulsan, building SOC for the port-logistics industry and restructuring local strategic industries are required. This work will be done by establishing a free economy zone, inviting the financial business, the distribution business, building up cooperation system among educational institutes, companies, and research institutes, and a public committee to take in charge.
The result of the study will be used as one of base studies for building policies for a port-logistics cluster suitable to individual local areas showing the methodology for port-policy making on the aspect of local governments.1. μ λ‘ 1
1.1 μ°κ΅¬μ λ°°κ²½ λ° λͺ©μ 1
1.2 μ°κ΅¬ μνλ°©λ² 3
2. μ νμ°κ΅¬ κ³ μ°° λ° μ°κ΅¬λ°©λ²λ‘ 5
2.1 μ νμ°κ΅¬ κ³ μ°° 5
2.1.1 νλ§λ¬Όλ₯ν΄λ¬μ€ν°μ κ΄ν μ°κ΅¬ 5
2.1.2 μ°μ
μ°κ΄λΆμμ κ΄ν μ°κ΅¬ 11
2.2 μ°κ΅¬λ°©λ²λ‘ 16
2.2.1 ν΄λ¬μ€ν° μ°κ΅¬λ°©λ² 16
2.2.2 μ°μ
μ°κ΄λΆμ 18
2.2.3 μμΈλΆμ 41
3. νλ§λ¬Όλ₯μ°μ
κ³Ό νλ§λ¬Όλ₯ν΄λ¬μ€ν° κ°κ΄ 47
3.1 λ¬Όλ₯μ λ¬Όλ₯μ°μ
47
3.1.1 λ¬Όλ₯μ κ°λ
47
3.1.2 κ΄λ ¨ λ²λ Ή κ²ν 48
3.1.3 λ¬Όλ₯μ°μ
μ κ²½μ μ λΆλ₯ 50
3.2 νλ§λ¬Όλ₯ν΄λ¬μ€ν° 51
3.2.1 ν΄λ¬μ€ν°μ κ°λ
λ° μ ν 51
3.2.2 νλ§λ¬Όλ₯ν΄λ¬μ€ν° 54
3.2.3 νλ§λ¬Όλ₯ν΄λ¬μ€ν° νν© λ° μ¬λ‘ 58
4. μΈμ°μ§μ νλ§λ¬Όλ₯μ°μ
μ μ€ν λ° νκΈν¨κ³Ό λΆμ 70
4.1 νλ§λ¬Όλ₯μ°μ
μ λΆλ₯ 70
4.1.1 νκ΅νμ€μ°μ
λΆλ₯μ μν λΆλ₯ 70
4.1.2 μ°μ
μ°κ΄νμ μν λΆλ₯ 71
4.2 λ¬Όλ₯μ°μ
νν© 74
4.3 νλ§ λ¬Όλ₯μ°μ
μ μ¬κ±΄λΆμ 78
4.3.1 μ
μ§λΆμ 78
4.3.2 μ Β·νλ°© μ°μν¨κ³Ό 80
4.3.3. λΆκ°κ°μΉ 83
4.3.4 λ
Έλμ λ°ν¨κ³Ό 84
4.4 λΆμκ²°κ³Ό 85
5. μΈμ°μ§μ νλ§λ¬Όλ₯ν΄λ¬μ€ν° ꡬμΆμ λ΅ 88
5.1 νλ§λ¬Όλ₯ν΄λ¬μ€ν° ꡬμ 88
5.1.1 νλ§λ¬Όλ₯ν΄λ¬μ€ν° κ΅¬μ± 88
5.1.2 νλ§λ¬Όλ₯ν΄λ¬μ€ν° ꡬμΆμ μ°¨ 90
5.1.3 νλ§λ¬Όλ₯ν΄λ¬μ€ν° κ΅¬μ± μ£Όμ²΄λ³ μν 91
5.2 νλ§λ¬Όλ₯ν΄λ¬μ€ν° μ‘°μ± 93
5.2.1 μΈμ°μ§μ νλ§μμ‘΄μ°μ
μ μ 93
5.2.2 νλ§μμ‘΄μ°μ
μ°κ΄μ
μ’
μ μ μ 94
5.2.3 μ μΉλμμ°μ
μ
μ§νΉμ± λΆμ 104
5.2.4 μ°μ
λ°°μΉλ°©μ 106
5.3 νλ§λ¬Όλ₯ν΄λ¬μ€ν° μ‘μ± 110
6. κ²° λ‘ 113
6.1 μ°κ΅¬κ²°κ³Ό 113
6.2 ν₯ν μ°κ΅¬κ³Όμ 115
μ°Έκ³ λ¬Έν 117
κ΅λ¬Έμ΄λ‘ 121
λΆ λ‘ 12
A Fundamental Study for National Manpower Supply and Demand forecast
λ³Έ μ°κ΅¬μ λͺ©μ μ μ°μ
λ³Β·μ§μ
λ³ μΈλ ₯μκΈ μ λ§ λͺ¨ν λ° μΈμ μμ μκΈ(μ§μ
κ΅μ‘μ ν¬ν¨ν κ΅μ‘λΆλ¬Έκ³Ό μ§μ
νλ ¨λΆλ¬Έμ μΈλ ₯μκΈ)μ λ§ λͺ¨νμ κ°λ°νκ³ , μ΄μ κΈ°μ΄νμ¬ μΈλ ₯μ μ€Β·μ₯κΈ° μμ, 곡κΈμ κ³λμ μΌλ‘ μμΈ‘ν¨μΌλ‘μ¨ μΈμ μμκ°λ° μ μ±
μ립과 μ§νμ ν¨μ¨μ μΌλ‘ νμ©λ μ μλ μ λ§μλ£λ₯Ό μ μνλλ° μλ€. ꡬ체μ μΌλ‘ λ€μ μΈ κ°μ§μ μ°κ΅¬λͺ©μ μ λ¬μ±νκΈ° μνμ¬ 3κ°λ
κ³νμ μ립νμ¬ μ°μ°¨μ μΌλ‘ μΆμ§ν μμ μ΄λ©° 첫째, κΈ°μ‘΄ μ°κ΅¬μ νκ³ λΆμ λ° μ μ§κ΅μ μΈλ ₯μκΈ λͺ¨ν κ²ν λ₯Ό ν΅ν΄ κ΅λ΄ νμ€μ λ§λ μΈλ ₯μκΈμ λ§ λͺ¨ν κ°λ°(1μ°¨ λ
λ), λμ§Έ, 1μ°¨ λ
λμ κ°λ°ν λͺ¨νμ ν λλ‘ μ°μ
μ€λΆλ₯ λ° μ§μ’
μΈλΆλ₯ μΈλ ₯μκΈμ μ λ§(2μ°¨ λ
λ), μ
μ§Έ, νκ΅κΈλ³, μ 곡μ νλ³ λ± κ΅μ‘λΆλ¬Έμ κ³ λ €ν μΈλ ₯μκΈ μ λ§ λͺ¨νμ κ°λ°νκ³ , λμκ° νλ ¨μ§μ’
, νλ ¨μ ν λ± μ§μ
νλ ¨ μμλ₯Ό νμ
ν μ μλ μΈλ ₯μκΈ μ λ§ λͺ¨νμ κ°λ°νμ¬ μ΄λ€ λͺ¨νμ μν μΈλ ₯μκΈμ μ λ§(3μ°¨ λ
λ)νκ³ μ νλ€.This paper examines the methods in national manpower supply and demand forecast used by using literature reviews and presents model to predict manpower projection in Korea. The national manpower supply and demand forecast has provided users projections, especially in the fields of career guidance and education planning, with information to enhance their understanding of the situations faced in developing human resource development.
Measurement of manpower projection accuracy, however, is not a simple task. Broad trends in manpower projection have been projected fairly accurately, but accuracy has not increased over time. One traditional measure is to compare projected manpower supply and demand with actual manpower supply and demand and compute the difference in percentage terms.
Over the years, the manpower projection procedures and methodologies used to develop the projections have undergone many changes as new data series and developed models became available and economic and statistical tools improved. In general, one approach to developing detailed manpower projections involved the use of input-output analysis. Essentially, this technique requires that final demand (GDP divided into its components-investment, consumption, government expenditures, and foreign trade) be specified by producing industry. The Bank of Korea input-out model consists of two basic matrices for each year, a "use" and a "make" table (expressed in coefficient form). Once projected values of the "use" and "make"relationships are available the projection of commodity demand developed in proceeding steps is converted into a projection of domestic industry output.
Projecting national manpower supply and demand forecast requires an integrated projection of the total economy and its various sector.
We make our own model to project the state of the manpower supply and demand in Korea which was modified BLS(Bureau of Labor Statistics) projections. The U. S. department of labor (BLS) projections are developed in a series of six steps, each of which is based on separate projection procedures and models, and various related assumptions. These six steps make with : (1) the size and demographic composition of the labor force, (2) the growth of the aggregate economy, (3) final demand or gross domestic product (GDP) subdivided by consuming sector and product, (4) interindustry relationships (input-output), (5) industry output and employment, (6) occupational employment.
Despited modified in BLS model, use of new technical aspects of the methods used to develop manpower projections in Korea Research
Institute for Vocational Education & Training (KRIVET). Many impediments are faced in manpower supply and demand forecast. One is that manpower projections are highly interrelated with the labor force, economics, and industry employment projections. A second obstacle faced in manpower projections stems from the changes in occupational classification that occur between the time the projections were developed and target year.
The KRIVET approach to national manpower supply and demand forecast requires a large amount of specialized data, much of which is assembled especially for this purpose. Especially, identifying the factors that caused differences between projected and actual data is sometimes difficult to uncover 10 or more years after the projections were developed. Improving data and developing technical model are a prime concern to KRIVET. KRIVET continues to devote significant research to this task since improvement in methods and techniques invariably involves developing new or refined data series.
The information on future employment opportunities by occupation is used by educators, counselors, and other helping young persons choose a career, and by officials who plan education and training program in Korea (end).μ°κ΅¬μμ½
I. μλ‘ 1
1. μ°κ΅¬μ νμμ± λ° λͺ©μ 1
2. μ°κ΅¬ μ§λ¬Έ 3
3. μ°κ΅¬λ΄μ© 4
4. μ°κ΅¬μ λ°©λ² 5
β
‘. κ΅λ΄ μΈλ ₯μκΈ μ λ§ μ°κ΅¬ λν₯ 7
1. μ°μ
μ°κ΄λΆμμ μν μ€μ₯κΈ° μΈλ ₯μκΈ μ λ§ 7
2. λ
Έλμμ₯μ μ€Β·λ¨κΈ° μμΈ‘ 8
3. λΆλ¬Έλ³ μΈλ ₯μκΈ μ λ§ 18
β
’. μΈλ ₯μκΈμ λ§ λͺ¨ν κ°λ°μ μν μ μ§κ΅μ μΈλ ₯μκΈ λͺ¨ν λΆμ 23
1. λ―Έκ΅ λ
Έλν΅κ³κ΅(BLS)μ μΈλ ₯μκΈ μ λ§ 23
2. μΌλ³Έ λ
Έλμ±(κ³ μ©μ μ±
μ°κ΅¬ν)μ λ
Έλλ ₯ μκΈ μ λ§ 58
β
£. μΈλ ₯μκΈμ λ§μ μν λͺ¨ν 71
1. λ
Έλλ ₯ κ³΅κΈ μ λ§ λͺ¨ν 71
2. λ
Έλλ ₯ μμ μ λ§ λͺ¨ν 85
3. λ€λΆλ¬Έλͺ¨νμ μ΄μ©ν μ§μ’
μ°μ
μ·¨μ
ꡬ쑰 μ λ§ 93
V. κ²°λ‘ 109
VI. ν₯ν μΆμ§ κ³Όμ 113
1. μκ³μ΄μμ μλ£ν보 λ° κ΅¬μΆ 113
2. μ λ’°λ ν보λ₯Ό μν μΈλ ₯μκΈ μ λ§ 114
3. μΈλ ₯μκΈ μ λ§ λ°©λ²μ μ λν 116
4. μ§μ
μ λ¬Έκ° ν보 λ° κ΄λ ¨ λ€νΈμν¬ κ΅¬μΆ 116
μ°Έκ³ λ¬Έν 119
Abstract 123
λΆλ‘ 1. μΈλ ₯μκΈ μ λ§μ μ¬μ©λ ν΅κ³μλ£ 127
λΆλ‘ 2. ν¬μ
κ³μμ μΆμ λ°©λ²(RAS) 13
Spatial planning system
λ
ΈνΈ : The full name of PKPP series is A Primer on Korea Planning and Policy
μ§μκ°λ° ν¬μνμ½μ λ λμ λ°©μ(A study on the intergovernmental agreement system for regional development cooperation)
λ
ΈνΈ : μ΄ μ°κ΅¬λ³΄κ³ μμ λ΄μ©μ κ΅ν μ°κ΅¬μμ μ체 μ°κ΅¬λ¬Όλ‘μ μ λΆμ μ μ±
μ΄λ 견ν΄μλ μκ΄μμ΅λλ€
ννλ²¨νΈ κ΅¬μΆμ μν μν΄ λ¨λΆμ κ²½μ§μ μ΄μ©λ°©μ(A proposal for building peace belt in the western sea border area between North and South Korea)
λ
ΈνΈ : μ΄ μ°κ΅¬λ³΄κ³ μμ λ΄μ©μ κ΅ν μ°κ΅¬μμ μ체 μ°κ΅¬λ¬Όλ‘μ μ λΆμ μ μ±
μ΄λ 견ν΄μλ μκ΄μμ΅λλ€
μ€κ΅ μ°λμ± μν΄μ μ΄μ£Όλ ΈμΈμ΄ κ²½ννλ κ°μ‘±κ΄κ³μ κ°μ‘± λλ΄
νμλ
Όλ¬Έ (λ°μ¬)-- μμΈλνκ΅ λνμ : μ¬νκ³Όνλν μ¬ννκ³Ό, 2018. 2. λ°κ²½μ.λ³Έ μ°κ΅¬λ μ€κ΅μ¬νμ λμν κ³Όμ μμ λΆμ°λμλ μ΄μ£Όκ°μ‘±μ΄ λ
ΈμΈμ΄μ£Όλ₯Ό ν΅ν΄ μ¬κ²°ν©μ μ΄λ£¬ μ΄ν μ΄λ€ κ°μ‘±κ΄κ³λ₯Ό λ§λ€μ΄ κ°λμ§, λ
ΈμΈμ λν κ°μ‘± λλ΄μ μ΄λ»κ² μνλκ³ μλμ§λ₯Ό μ΄ν΄λ³΄μλ€.
λ³Έ μ°κ΅¬λ μ€κ΅μ λμν ꡬλμμ μ€μν μ λ΅μ μμΉμ μ²ν΄ μλ λμμΈ λμμ, μ΅κ·Όμ λ¨Όμ μ΄μ£Όν΄μ¨ μλ
μΈλλ₯Ό μ€μ¬μΌλ‘ λ
ΈμΈμ΄μ£Όλ₯Ό ν΅ν κ°μ‘±μ¬κ²°ν©μ΄ νλ°νκ² μΌμ΄λλ μν΄μ(ε¨ζ΅·εΈ, Weihai)λ₯Ό μ°κ΅¬μ§μμΌλ‘ μ μ νμ¬, νμ¬ μν΄μμ μμ£Όνκ³ μλ μ΄μ£Όλ
ΈμΈ 30λͺ
μ νμ§νμ¬ μ¬μΈ΅λ©΄λ΄μ μ€μνμλ€.
μμ§λ μλ£λ νμμ μ€λͺ
ν μ μλ κ°λ
μ΄ μμ§ μΆ©λΆν νμΈλμ§ μμκ³ κ°λ
κ°μ κ΄κ³μ λν μ€λͺ
μ΄ λΆμ‘±νκ±°λ ꡬ체νλμ§ μμμΌλ©°, μ΄λ‘ μ κΈ°λ°μ΄ κ°μΆμ΄μ§μ§ μλ λΆμΌλ€μμ μ μ νκ² νμ©λ μ μλ κ·Όκ±°μ΄λ‘ μ μ κ·Όλ°©μ(Strauss & Corbin, 1990)μ μ μ©νμ¬ λΆμνμλ€.
λ©΄λ΄μλ£λ₯Ό κ°λ°©μ½λ©κ³Ό μΆ μ½λ©, μ νμ½λ©μ ν΅ν΄ λΆμν κ²°κ³Ό 58κ° κ°λ
, 23κ° νμ λ²μ£Ό, 9κ° λ²μ£Όλ₯Ό λμΆνμλ€. μ΄μ£Όλ
ΈμΈμ΄ μ΄μ£Όν μ΄νμ κ²½ννλ κ°μ‘±κ΄κ³μ λλ΄ μμμ κ°κ΄ν΄μ€ μ μλ ν΅μ¬λ²μ£Όλ μλ
μΈλ μ€μ¬μ κ±°μ£Όλ°©μ, μνΈμ§μκ΄κ³, λλ΄ κ·λ²μ νμ±μΌλ‘ μΈν΄ λ€μν μ νμ μλ
μ€μ¬μ κ°μ‘±κ΄κ³κ° λ§λ€μ΄μ§κ³ , λ
ΈμΈμ΄ λΆλͺ¨μ μ±
μμ λ€νμ λμλ μ μ°¨ μ£Όλ³ν λλ κ³Όμ μΌλ‘ λμΆλμλ€.
λμνλ‘ λΆμ°λμλ€κ° λ€μ μ¬κ²°ν©μ μ΄λ£¬ μ΄μ£Όκ°μ‘±μ μ΄μ£Ό ν κ°μ‘±κ΄κ³μ κ΅¬μ± κ³Όμ μ μλμ κ°λ€. κ°νκ°λ°© μ΄ν μ€κ΅μ μ¬νꡬ쑰μ μμΈμΌλ‘ μ ν΅μ μ°μ
λμμ λμ΄ μ§μμ λ λ μ μ νλ€κ° μν΄μμμ μ μ°©νκ² λ μ΄μ£Όμλ€μ μΈλ κ°μ μνΈ λλ΄μ μν΄ λ€μ μν΄μμ λͺ¨μ΄κ² λμλ€. μ΄λ€μ κ°μ‘±μ΄ 보μ ν μμ, κ°μ‘± λ΄μ λλ΄ μμ, μκ°μ΄ μ§λ¨μ λ°λΌ λ³ννλ μν©μ λ°λΌ λ€μνκ² κ±°μ£Όλ°©μ, μνΈμ§μκ΄κ³, λλ΄ κ·λ²μ ꡬμ±νκ³ μ‘°μ νμλλ° κ²°κ΅ κ°μ‘±κ΄κ³λ μλ
κ° μ€μ¬μ΄ λκ³ λ
ΈμΈμ΄ μμΈλλ λ°©μμΌλ‘ ꡬμ±λμλ€. κ±°μ£Ό λ°©μμ μμ΄μ μΈλκ°λ±, μ£Όνλ¬Έμ , μλ
μ μ¬μ΄μ£Ό λ± λ€μν μ΄μ λ‘ μΈν΄ λ
ΈμΈμ μ μ°¬ λ€μΈλ λκ±°κ°μ‘± λ°μΌλ‘ λ°λ €λκ² λμκ³ λΆκ±°νκ² λ λ
ΈμΈλ€μ λλ΄μ΄ νμνκ² λμ΄λ λ€μ μλ
μ λκ±°νκΈ° μ΄λ €μ λ€. μνΈμ§μ κ΄κ³μ μμ΄μ μΈλ κ° λΆμ
μ ν΅ν΄ μλ
κ° μμ°μμμ μ°¨μ§νκ³ λ
ΈμΈμ μλ
λ₯Ό 보쑰νλ λ°©μμΌλ‘ μ‘°μ§λ¨μΌλ‘μ¨ μλ
μ€μ¬μ μνλ°©μμ΄ νμ±λκ³ μμλ€. λ λ
ΈμΈμ΄ λ
립λ₯λ ₯μ κ°μ§ λμλ μλ
μκ² κ²½μ μ μ§μ, κ°μ¬ μ§μ, μ‘μ μ§μ λ± ν λμ μ§μμ μ 곡νμμμλ λΆκ΅¬νκ³ λ
ΈμΈμ΄ μλ
μκ² μμ‘΄νκ² λ λμλ μλ
μ λ§λ²μ΄ λ± μ΄μ λ‘ μλ
λ‘λΆν° μ νλ λμλ°μ λ°μ§ λͺ»νλ λΆνλ±ν μνΈμ§μκ΄κ³κ° λ§λ€μ΄μ§κ³ μμλ€. λλ΄ κ·λ²μ μμ΄μ λ
ΈμΈμ΄ λ
립 λ₯λ ₯μ κ°μ§ λμλ λΆλͺ¨μ μ±
μμ κ°μ‘° λ°μ μλ
μκ² μ΅λμ λμμ μ 곡λλ‘ μꡬ λ°κ³ μλ
μ λμμ΄ νμν λμλ μλ
μκ² λ―ΈμΉλ λ―Όνλ₯Ό μ΅μννλλ‘ μꡬ λ°λ λλ΄ κ·λ²μ΄ νμ±λκ³ μμλ€. ννΈ μλ
λ λ
ΈμΈμ΄ ν λμ μ§μμ μ 곡ν΄μ£Όλ μκΈ°μλ λ
ΈμΈμ λν λΆμ μ무λ₯Ό κ°νκ² λλ μ§λΌλ λ
ΈμΈμ΄ μμ‘΄νκ² λ λμλ λ§λ²μ΄ λ± νμ€μ μΈ νκ³λ‘ μΈν΄ λ
ΈμΈμ΄ νμν λμμ μΆ©λΆν μ 곡νμ§ λͺ»νκ³ μλ€. μ΄λ¬ν κ³Όμ μ κ±°μ³ μ΄μ£Ό κ°μ‘± μμλ λ€μν μ νμ μλ
μ€μ¬μ κ°μ‘±κ΄κ³κ° λ§λ€μ΄μ‘λ€.
μ΅μ’
μ μΌλ‘ ꡬμ±λ μλ
μ€μ¬μ κ°μ‘±κ΄κ³λ λ
ΈμΈμ΄ μλ
μ κ°μ μ§λΆμλμ μννλ©΄μ κ²½μ κ΄λ¦¬λ ν¨κ»νλ λκ±°ν κ°μ‘±κ΄κ³, λ
ΈμΈμ΄ μλ
μ κ°μ μ§λΆμλμ μννλ©΄μ κ²½μ λ λΆλ¦¬ λμ΄ μλ λκ±° λΆλμ¬(εε±
δΈε貑)ν κ°μ‘±κ΄κ³, λ
ΈμΈκ³Ό μλ
κ° κ·Όκ±°λ¦¬μ κ±°μ£Όνλ©΄μ λ°μ ν μνΈμ§μκ΄κ³λ₯Ό λ§Ίλ 근거리 λΆκ±°ν κ°μ‘±κ΄κ³, λ
ΈμΈκ³Ό μλ
κ° κ·Όκ±°λ¦¬μ λΆκ±°νμ¬ μννμ§λ§ λ§€μΌ ν¨κ» μμ¬νλ 근거리 λΆκ±° λμ‘°(εε±
εηΆ)ν κ°μ‘±κ΄κ³, λ
ΈμΈμ΄ μλ
κ° κ±°μ£Όνκ³ μλ λμμ μλ‘μμ μ
μν΄ μλ 근거리 μ
μν κ°μ‘±κ΄κ³, λ
ΈμΈκ³Ό μλ
κ° μλ‘ λ€λ₯Έ λμμ λΆλ¦¬λμ΄ μλ μ거리 λΆλ¦¬ν κ°μ‘±κ΄κ³κ° μλ€.
λ³Έ μ°κ΅¬λ κ·Όκ±°μ΄λ‘ μ λΆμ λ°©μμ ν΅ν΄ μ€κ΅ μ΄μ£Όλ
ΈμΈμ΄ κ²½ννλ κ°μ‘±μ¬κ²°ν©μ΄νμ κ°μ‘±κ΄κ³μ λλ΄ μμμ 체κ³μ μΌλ‘ μ 리νμ¬ νλμ λ―Έλμ΄λ‘ μ κ°λ°ν΄ λ΄μΌλ‘μ¨, μ΄μ£Όλ
ΈμΈμ΄ λμν κ³Όμ μμ κ²½ννλ κ°μ‘±κ΄κ³μ κ°μ‘± λλ΄μ μ΄ν΄νκ³ μ΄λ‘ ννλλ° κΈ°μ΄μλ£λ₯Ό μ 곡ν μ μμ κ²μ΄λ€. λ λμν κ³Όμ μμ λ°μνλ λ
ΈμΈ λλ΄ λ¬Έμ λ₯Ό ν΄κ²°νκ³ μ μ κΈ°λλ μ€κ΅ μ¬νμ μλ‘μ΄ κ°μ‘±μ λ΅(κ°μ‘±μ¬κ²°ν©)μ κ΄μ°°ν΄ λ΄μΌλ‘μ¨, λΉκ΅νμ κ΄μ μμ λμνλ‘ μΈν΄ λ λ‘ μ½νλλ λμμμ μ¬νμ κ°μ‘± λλ΄ λ¬Έμ μ λν μ΄λ‘ μ μ§νμ λνμ€ μ μμ κ²μ΄λ€.1. μ λ‘ 1
1.1. λ¬Έμ μ κΈ° 1
1.2. λ¬Ένκ³ μ°° 6
1.2.1. μ€κ΅ λμνμ μ·곡κ°μ νΉμ± 6
1.2.1.1. μ€κ΅ λμνμ λ°μ λ¨κ³ 6
1.2.1.2. μ€κ΅ λμνμ 곡κ°μ μ κ°κ³Όμ 11
1.2.1.3. μ€κ΅ λμν κ³Όμ μμμ μΈκ΅¬μ΄λ 14
1.2.2. λμν κ³Όμ μμμ κ°μ‘±μ λμκ³Ό μΈλκ΄κ³ 16
1.2.2.1. λμν κ³Όμ μμμ κ°μ‘±μ λ΅: κ°μ‘± ꡬμ±μμ λ¨κ³μ μ΄μ£Ό 16
1.2.2.2. μ΄μ£Ό λ¨κ³ λ³ κ°μ‘±κΈ°λ₯μ 곡κ°μ λ°°λΆκ³Ό μν μ¬ λΆμ
19
1.3. μ°κ΅¬λ°©λ² 26
1.3.1. λΆμν 26
1.3.2. μ©μ΄ μ μ 27
1.3.3. μ°κ΅¬λ°©λ² 30
1.3.3.1. κ·Όκ±° μ΄λ‘ μ μ κ·Ό 30
1.3.3.2. μ°κ΅¬ μ°Έμ¬μ μ μ 31
1.3.3.3. μ°κ΅¬μλ£ μμ§κ³Ό λΆμ 35
1.3.3.4. μ°κ΅¬μ νλΉμ±κ³Ό μ λ’°λλ₯Ό 보μ₯νκΈ° μν μ‘°μΉλ€ 42
1.3.3.5. μ°κ΅¬λμ λ°°λ €μ μ°κ΅¬κ³Όμ μμμ μ€λ¦¬μ κ³ λ―Ό 43
1.3.4. λ©΄μ μ¬λ‘ μκ° 45
1.3.5. λ
Όλ¬Έμ κ΅¬μ± 66
2. μν΄μμ λμν 67
2.1. μ€κ΅ λμν ꡬλμμ μν΄μμ μμΉμ μν 67
2.2. μν΄μμ λμν κ³Όμ 70
2.2.1. 1990λ
λ μν΄μμ λμν 70
2.2.2. 2000λ
λ μν΄μμ λμν 72
2.2.3. 2010λ
λ μν΄μμ λμν 76
3. λ
ΈμΈ μ΄μ£Όμ λ§₯λ½ 79
3.1. κ°μ‘±μ λΆμ° 79
3.1.1. μ ν΅μ μ°μ
λμμ μ ν΄λ‘ μΈν μ΄μ£Ό 80
3.1.1.1. κ΅μ κΈ°μ
λ―Όμνλ‘ μΈν λλΆ 3μ± μΆμ μ€μ
μλ€μ μ΄μ£Ό 80
3.1.1.2. μ·¨μ
κΈ°ν κ°μλ‘ μΈν μμν λμ κ±°μ£Όμλ€μ μ΄μ£Ό 86
3.1.1.3. μ΄μ
ν νκ²½μΌλ‘ μΈν μ€κ³΅μ
λμ κ±°μ£Όμλ€μ μ΄μ£Ό 88
3.1.2. λμ΄μ μλμ λΉκ³€μΌλ‘ μΈν μ΄μ£Ό 89
3.2. λ
ΈμΈμ΄μ£Όλ₯Ό ν΅ν κ°μ‘±μ μ¬κ²°ν© 92
3.2.1. κ°μ‘±κ΅¬μ±μμ ν‘μΈ 92
3.2.1.1. μλ
μΈλμ μΌ κ°μ μ립λ 92
3.2.1.2. λ
ΈμΈμΈλμ λλ΄ λΆμ¬ μν© 95
3.2.1.3. 근거리 κ±°μ£Όμ λν μꡬ 97
3.2.2. κΈ°ννκ²½μ ν‘μΈ 99
3.2.3. νΈκ΅¬μ λμ ν‘μΈ 101
4. μ΄μ£Ό μ΄νμ κ±°μ£Ό λ°©μ 102
4.1. μ΄μ£Ό μ΄κΈ° κ±°μ£Όλ°©μμ μ ν 102
4.1.1. μνΈ μμ‘΄μ μν λκ±° 102
4.1.2. λ
립 μ μ§λ₯Ό μν 근거리 κ±°μ£Ό 109
4.1.3. λκ±° 쑰건 λΆμ¬λ‘ μΈν 근거리 κ±°μ£Ό λ° μ
μ 111
4.2. μ΄μ£Ό νκΈ° κ±°μ£Όλ°©μμ μ‘°μ 115
4.2.1. μΈλ κ° κ²©μ°¨λ‘ μΈν λΆκ±° λ° μ
μ 115
4.2.2. μμ λ
ΈμΈ λλ΄μ μν λΆκ±° λ° μ
μ 118
4.2.3. μ£Όν νμλ‘ μΈν λΆκ±° λ° μ
μ 120
4.2.4. λ
κ±° ννΌλ₯Ό μν 근거리 μ
μ 122
4.2.5. μ μ°© μ€ν¨λ‘ μΈν μλ
μ μ¬μ΄μ£Ό 123
4.2.6. κ°μ‘±λ€νΈμν¬ νμ±μ μν κΈ°ν κ°μ‘±κ΅¬μ±μμ νμμ΄μ£Ό 124
5. μ΄μ£Ό μ΄νμ μνΈ μ§μκ΄κ³ 130
5.1. μμ‘΄ μν© λ°μ μ μλ
μ λν μ§μ 130
5.1.1. μ‘μμ κ°μ¬ 보쑰 130
5.1.2. μλ
μ λν κ²½μ μ μ§μ 135
5.1.3. μμ λ°°μ°μ μλ° μ λ΄ 139
5.1.4. μλ
μ μ¬μ
μ λν λ
Έλλ ₯ μ§μ 144
5.1.5. κ°κ³λ₯Ό μν λ
Έν λ
Έλ 145
5.2. μμ‘΄ μν© λ°μ ν λΆλͺ¨μ λν μ§μ 147
5.2.1. μλμμ΄ μλ λΆλͺ¨μ λν κ²½μ μ μ§μ 147
5.2.2. λΆκ±° λ° μ
μν λΆλͺ¨μ λν μ μμ λλ΄ 151
5.2.3. λΉμ μν©μ μ²ν λΆλͺ¨μ λν μΌμμ λλ΄ 154
6. μ΄μ£Ό μ΄νμ λλ΄ κ·λ² 156
6.1. λ
ΈμΈμ λλ΄ κ·λ² 156
6.1.1. μμ‘΄ μν© λ°μ μ μλ
μ λν μ§μ κ°μ‘° 156
6.1.1.1. μλ
μ λν λΆλͺ¨ μ±
μμ κ°μ‘° 156
6.1.1.2. λ
ΈμΈμ νμ μ ν΅ν κ°μ‘± κ²°μλ ₯ κ°ν 164
6.1.2. μμ‘΄ μν© λ°μ ν μλ
μ λν λ―Όν μ΅μν κ°μ‘° 167
6.1.2.1. μλ
μ λλ΄ νμμ λν μ¬μ 167
6.1.2.2. μλ
μ λλ΄ λΆμ¬μ λν κ΄λν νλ 168
6.1.2.3. μλ‘μμ λν μμ© 173
6.2. μλ
μ λλ΄ κ·λ² 179
6.2.1. μμ‘΄ μν© λ°μ μ΄μ μλ
μ λμ λΆμ μλ¬΄κ° 179
6.2.2. μμ‘΄ μν© λ°μ μ΄ν λΆλͺ¨ λλ΄μ λν νμ€μ νκ³ 180
6.2.2.1. λΆλͺ¨μ λ―Όν μ΅μν λ
Έλ ₯μ λν 거리λκΈ° 180
6.2.2.2. λΆλͺ¨μ λλ΄μ λν μλ€μ μν κ°μ 182
6.2.2.3. λΆλͺ¨μ λλ΄μ λν λΈμ μν κ°ν 187
7. λ€μν μ νμ μλ
μ€μ¬μ κ°μ‘±κ΄κ³μ νμ± 189
7.1. λκ±°ν κ°μ‘±κ΄κ³ 191
7.2. λκ±° λΆλμ¬(εε±
δΈε貑)ν κ°μ‘±κ΄κ³ 192
7.3. 근거리 λΆκ±°ν κ°μ‘±κ΄κ³ 193
7.4. 근거리 λΆκ±° λμ‘°(εε±
εηΆ)ν κ°μ‘±κ΄κ³ 194
7.5. 근거리 μ
μν κ°μ‘±κ΄κ³ 195
7.6. μ거리 λΆλ¦¬ν κ°μ‘±κ΄κ³ 196
8. κ²°λ‘ λ° λ
Όμ 197
8.1. μ°κ΅¬κ²°κ³Ό μμ½ 197
8.2. λ
Όμ 197
8.3. μ°κ΅¬μ νκ³μ νμμ°κ΅¬μ λν μ μΈ 200
[μ°Έκ³ λ¬Έν] 202
Abstract 209Docto
κ΅ν κ· νλ°μ μ μν ν΅ν©κ΅ν μΆ μΆμ§μ λ΅(A study on the integrated territorial axes for the balanced regional development strategy)
λ
ΈνΈ : μ΄ μ°κ΅¬λ³΄κ³ μμ λ΄μ©μ κ΅ν μ°κ΅¬μμ μ체 μ°κ΅¬λ¬Όλ‘μ μ λΆμ μ μ±
μ΄λ 견ν΄μλ μκ΄μμ΅λλ€
μ€κ΅μ λμνμ λ°μ μΆ - κ°μΈμ μ
νμΈμμΉ΄λ°λ―Έ
- λνλ―Όκ΅ νμ μ μ°μνμ λμ/ 2009-11-13 λ°ν / μ κ΅ν / λ°μμ₯ / 376λ©΄ / 19,000μISBN 978-89-460-4187-5 93980
λΆμΌ : νμ Β·μ§μκ°λ°, 곡κ°Β·νκ²½, μ§μμ°κ΅¬λμ, μ€κ΅μ°κ΅¬
[μ±
μκ°]
μ΄ μ±
μ μ£Όμ λ΄μ©μ 1949λ
10μ μ€νμΈλ―Όκ³΅νκ΅μ μΆλ²μ μ νν μκΈ°λΆν° νμ¬κΉμ§, λμλ°μ κ³Ό κ·Έμ λ°λ₯Έ 곡κ°κ΅¬μ‘° λ³ν λ° λ°μ μΆ νμ± λν₯μ κ³ μ°°Β·μ 리ν κ²μ΄λ€. κ·Έμ€μμλ 1978λ
κ°νκ°λ°© μ μ±
κ²°μ , λ°νλ₯Ό μ νν μκΈ°μ λν₯κ³Ό κ·Έ ν 30λ
κ° μ§νλ κ°νκ°λ°© κ³Όμ μμμ λμνμ 곡κ°κ΅¬μ‘° λ³νμ βλ°μ μΆβ νμ± κ³Όμ μ 체κ³μ μΌλ‘ λΆμ, μ 리νμλ€.μ΄λ¬ν κ±°μμ λν₯μ 리μ ν¨κ» μ¬λ‘λμμ λν μ¬μΈ΅κ³ μ°°μ λνλλ°, μ£Όμ μ¬λ‘λμλ‘λ κ°νκ°λ°© μ΄κΈ°μΈ 1980λ
λλΆν° κ°νκ°λ°© μ μ±
μ μ€νμ₯ ꡬμ€μ νλ©° μ£Όμ λ°μ μΆμ νμ±ν κ΄λ₯μ± μ μ κ²½μ νΉκ΅¬λ₯Ό μ€μ¬μΌλ‘ νλ μ£Όκ° μΌκ°μ£Ό μ§μκ³Ό, 1990λ
λ μ΄ν μ₯κ° μΌκ°μ£Ό μ§μμ ν΅μ¬ μ±μ₯ μ§μμΌλ‘ λ°μ μ΄ μμλμ΄ μ€κ΅ μ κ΅μ κ²½μ λ°μ μ μ£Όλν νΈλ₯ μ ꡬλ₯Ό ν¬ν¨νλ μνμ΄, κ·Έλ¦¬κ³ 2000λ
λμ λ€μ΄μλ©΄μ 본격μ μΌλ‘ λ°μ ν λ² μ΄μ§-ν
μ§μΆμ μ€μ¬λμμ΄μ μλμΈ λ² μ΄μ§μ μ ννλ€.
κΈ°ν μλ λ° μΆκ° μμ
1949λ
10μ μΆλ²ν μ€νμΈλ―Όκ³΅νκ΅μ΄ 1978λ
λ§μ κ°νκ°λ°© μ μ±
μ μνν μ§ μ΄λλ§ 30λ
μ΄ νλ λ€. κ·Έλμ μ€κ΅μ΄ μ΄λ£¬ κ²½μ Β·μ¬νΒ·μ μΉ λ°©λ©΄μ λ°μ κ³Ό λ³νλ κ·Έ μκ³Ό μ§, μλμ ν λ± λͺ¨λ μΈ‘λ©΄μμ κΈ°λ‘μ μ΄λ€. μ€κ΅μ κ²½μ λ°μ μ μ°μ
ꡬ쑰μ λ³νμ ν¨κ» κ΅ν 곡κ°κ΅¬μ‘°μ νμ λ³νμν€κ³ μλ€. κ΅λ΄μ μ€κ΅ κ΄λ ¨ μ°κ΅¬λ μμ Β·μ§μ μΈ‘λ©΄μμ ν° νμΌλ‘ μ§μ λκ³ μμΌλ, λλΆλΆ κ²½μ λ° λ¬΄μ λΆμΌμ μΉμ°μ³ μλ€. μ§μΒ·λμ κ°λ°, κ·Έλ¦¬κ³ κ³΅κ°κ΅¬μ‘°μ κ΄μ μμ μ€κ΅μ νμ€μ κ°κ΄Β·μ’
ν©ν μ μλ λ§€μ° λΆμ‘±ν μ€μ μ΄λ€.μ΄ μ±
μ μ΄λ° λ¬Έμ μΈμμ λ°νμΌλ‘ κ°νκ°λ°© μ΄ν μ€κ΅ κ΅ν 곡κ°κ΅¬μ‘° λ³νκ³Όμ μ κ±°μ λμμ λ°ν₯κ³Ό λ°μ μΆ νμ± κ³Όμ μ΄λΌλ κ΄μ μμ μ΄ν΄λ³΄κ³ , μ΄λ₯Ό ν΅ν΄ μ€κ΅μ κ²½μ λ°μ μ΄ μ§μ λ° λμ 곡κ°κ΅¬μ‘°μ νμ±κ³Ό λ°μ μ λ―ΈμΉ μν₯κ³Ό λλ ₯, κ·Έλ¦¬κ³ κ·Έμ λ°λ₯Έ κ΅ν 곡κ°κ΅¬μ‘°μ νμ± λ° λ°μ μΆμΈλ₯Ό λΆμν κ²μ΄λ€. μ΄ μ±
μ κ°μλ‘ μ€μμ±μ΄ 컀μ§λ μ€κ΅μμ₯μ λμμΌλ‘, κ·Έ κΈ°λ³Έ μ μ±
κΈ°μ‘°μΈ κ°νκ°λ°© μ μ±
μ λ§₯λ½κ³Ό μ΄λ₯Ό μ£Όλνλ μ€κ΅ 곡μ°λΉμ κΈ°λ³Έ λ
Έμ μ λν μ΄ν΄λ₯Ό λκ³ , κ°νκ°λ°© μ΄ν 30λ
κ° μ§μμ κ²½μ μ±μ₯κ³Ό ν¨κ» 곡κ°μ λΆν¬ λ° λ°°μΉ κ΅¬μ‘° μΈ‘λ©΄μμ μ§νλκ³ μλ λ³νλν₯μ 체κ³μ μΌλ‘ νμ
νκ³ , μ μ€ν λμ±
μ μ립νκΈ° μν νμ μ 곡ν κ²μ΄λ€.
λ΄μ© μκ°
μ΄ μ±
μ λ΄μ©μ μ΄ 4λΆ 10μ₯μΌλ‘ ꡬμ±λμ΄ μμΌλ©°, κ° λΆ λ° μ₯λ³ μ£Όμ λ΄μ©μ λ€μκ³Ό κ°λ€. μ 1λΆμμλ μ€κ΅μ λμλ°μ μ¬ λ° λμμ°κ΅¬ λν₯μ κ³ μ°°, μ 리νλ€. μ 1μ₯μμλ μ€κ΅ λμλ°μ μ¬λ₯Ό κ³ λ, κ·Όλ, λ―Όκ΅, κ·Έλ¦¬κ³ μ€νμΈλ―Όκ³΅νκ΅ μκΈ°λ‘ κ΅¬λΆν΄ κ³ μ°°νκ³ , μ 2μ₯μμλ μ€κ΅ λ΄ κ³΅κ°κ΅¬μ‘° λ° λ°μ μΆ κ΄λ ¨ μ°κ΅¬ λν₯μ κ³ μ°°, μ 리νλ€. μ 2λΆμμλ μ€κ΅μ κ°νκ°λ°©κ³Ό λμλ°μ , κ·Έλ¦¬κ³ λμνμ λ°λ₯Έ 곡κ°κ΅¬μ‘°μ λ³νμ νλ¦μ κ³ μ°°, μ 리νλ€. μ 3μ₯μμλ κ°νκ°λ°© μ νμ λ°°κ²½κ³Ό μ§ν κ³Όμ , κ·Έλ¦¬κ³ λμ
κ°νμμ μμνμ¬ ν₯μ§κΈ°μ
, κ²½μ νΉκ΅¬, κ°μ²΄μ곡기μ
μ λ°μ κ³Όμ μ ν΅ν΄ μ§νλ λμλ°μ κ³Όμ μ κ³ μ°°, μ 리νλ€. μ 4μ₯μμλ μ€κ΅ λμνμ νΉμ§κ³Ό λλ ₯μ κ°νκ°λ°© μ΄μ κ³Ό μ΄ν, κ·Έλ¦¬κ³ μ§μ λ° λλμ κ³΅κ° μ°¨μ λ²μλ‘ κ΅¬λΆν΄ κ³ μ°°, μ 리νλ€. μ 5μ₯μμλ μ€νμΈλ―Όκ³΅νκ΅ μΆλ² μ΄ν μ€κ΅μ κ΅ν 곡κ°κ΅¬μ‘° λ³ν μ°νμ κ³ μ°°νλ€. κ°νκ°λ°© μ΄μ μλ ꡬμλ ¨μ μμ‘°λ‘ μΆμ§ν 156ν μ€μ 곡μ νλͺ© 건μ€κ³Ό κ΅λ°© λͺ©μ μμ μΆμ§ν 3μ 건μ€, κ°νκ°λ°© μ΄νμλ 1980λ
λμ κ²½μ νΉκ΅¬λ₯Ό μ€μ¬μΌλ‘ νλ μ°ν΄ μ§κ΅¬, 1990λ
λμ μνμ΄ νΈλ₯ μ ꡬ, 2000λ
λ μ΄νμ λ² μ΄μ§ μ€κ΄μ΄ λ° ν
μ§ λΉνμ΄ μ ꡬμ κ°λ° λ° κ°λ°© λν₯, κ·Έλ¦¬κ³ βμλΆ λκ°λ°β, βλλΆ μ§ν₯β, βμ€λΆ κ΅΄κΈ°βλΌλ ꡬνΈλ‘ λνλλ κ±°μμ μ§μλ°μ μ λ΅μ λν 곡κ°κ΅¬μ‘° μΈ‘λ©΄μ μν₯κ³Ό μλ―Έλ₯Ό λΆμ, κ³ μ°°νλ€.μ 3λΆμμλ μ μ , μνμ΄, λ² μ΄μ§ 3κ° λλμμ λ°μ λν₯κ³Ό λμκ°λ° λ° λμκ³ν μ°νκ³Ό νν©μ μ¬μΈ΅κ³ μ°°νλ€. μ 6μ₯μμλ μ μ κ²½μ νΉκ΅¬μ μ€μΉ λ°°κ²½ λ° κ³Όμ , λμλ°μ κ³Ό λμκ³ν μ°ν λ±μ κ³ μ°°νλ€. μ 7μ₯μμλ μνμ΄μ λμλ°μ κ³Όμ κ³Ό νΉμ§, μ₯κ° μΌκ°μ£Ό μ§μ κ΅ν΅λ§μ λ°μ μ°νκ³Ό λμ곡κ°κ΅¬μ‘°μ λ³ν κ³Όμ λ±μ λ΄μ©μ κ³ μ°°νλ€. μ 8μ₯μμλ λ² μ΄μ§μ λμλ°μ λ° λμκ³ν μ°ν, λμ곡κ°κ΅¬μ‘° λ° μ°μ
λ°°μΉ λ³ν λ±μ κ³ μ°°, μ 리νλ€.λ§μ§λ§μΌλ‘ μ 4λΆμμλ μ 9μ₯μμ μ€κ΅ λ΄ μ£Όμ λμκ΅°κ³Ό λ°μ μΆμ νμ± λ° λΆν¬ λν₯μ κ³ μ°°, μ 리νκ³ , μ 10μ₯μμ μ±
μ λ΄μ©μ μ΄κ²°νλ€.μ 1λΆ μ€κ΅μ λμλ°μ μ¬ λ° λμμ°κ΅¬ λν₯
μ 1μ₯ μ€κ΅ λμλ°μ μ¬ κ°κ΄
1. κ³ λ μ€κ΅μ λμλ°μ μ°ν2. κ·Όλ μ€κ΅μ λμλ°μ κ³Ό λΆν¬3. λ―Όκ΅ λ° μ μ€κ΅ μκΈ°μ λμλ°μ κ³Ό λΆν¬
μ 2μ₯ μ€κ΅ λ΄ κ³΅κ°κ΅¬μ‘° λ° λ°μ μΆ κ΄λ ¨ μ°κ΅¬ λν₯
1. μ€κ΅ μΈλ¬Έμ§λ¦¬νμ λ³ν2. λμ λ° μ§μλ°μ κ³Ό μ μ±
3. μ§μ λμ곡κ°κ΅¬μ‘°μ λν μ°κ΅¬4. λμκ΅° μ°κ΅¬
μ 2λΆ μ€κ΅μ κ°νκ°λ°©κ³Ό λμν
μ 3μ₯ κ°νκ°λ°© 30λ
κ³Ό λμλ°μ
1. κ°νκ°λ°©μ λ°°κ²½κ³Ό μ§ν κ³Όμ 2. λμ
κ°νμ μμ: μνμ΄μ± μ€μ€κ° μμ°λ λλ―Όλ€μ βμμ¬νμ½β3. κ²½μ νΉκ΅¬μ μ€μΉ λ° λ°μ 4. ν₯μ§κΈ°μ
κ³Ό κ°μΈ μ곡기μ
μ λ°ν₯5. κ°νκ°λ°©μ μ¬ν λ¨κ³: μ’
ν©μ°κ³κ°νμνꡬ
μ 4μ₯ μ€κ΅ λμνμ νΉμ§κ³Ό λλ ₯
1. κ°νκ°λ°© μ΄μ μ λμν κ³Όμ κ³Ό νΉμ§2. κ°νκ°λ°© μ΄ν λμνμ νΉμ§3. μ€κ΅ λμνμ μ£Όμ λλ ₯4. κ±°μ μ§μμ λμν λλ ₯5. λλμ κ΅μΈν λλ ₯
μ 5μ₯ μ€κ΅ κ΅ν 곡κ°κ΅¬μ‘°μ λ³ν
1. μ μ€κ΅ μΆλ² μ΄μ 2. κ°νκ°λ°© μ΄μ 3. κ°νκ°λ°© μ΄ν
μ 3λΆ μ μ , μνμ΄, λ² μ΄μ§μ λ°μ κ³Ό λμκ³ν
μ 6μ₯ μ μ κ²½μ νΉκ΅¬μ λ°μ κ³Ό λμκ³ν
1. μ μ κ²½μ νΉκ΅¬μ κ°ν© λ° λ°μ κ³Όμ 2. λμλ°μ κ³Ό λμκ³ν3. λμκ³νμ λ°μ μ°ν4. μ μ λμκ³ν체κ³μ νΉμ±
μ 7μ₯ μνμ΄μ λ°μ κ³Ό λμκ³ν
1. μνμ΄μμ κ°ν©κ³Ό κ²½μ λ°μ κ³Όμ μμ νΉμ§2. λμν λ° λμλ°μ κ³Όμ μμ νΉμ§3. μ₯κ° μΌκ°μ£Ό μ§μ κ΅ν΅λ§κ³Ό λμλ°μ 4. λμκ³νκ³Ό λμ곡κ°κ΅¬μ‘°μ λ³ν5. λμ곡κ°κ΅¬μ‘°μ λ³ν κ³Όμ
μ 8μ₯ λ² μ΄μ§μ λ°μ κ³Ό λμκ³ν
1. λ² μ΄μ§μ κ°ν©2. λ² μ΄μ§μ λμν νν©3. κ°νκ°λ°© μ΄ν λ² μ΄μ§μ λμλ°μ 4. λ² μ΄μ§ λμκ³ν μ°ν5. λμ곡κ°κ΅¬μ‘° λ³νμ νΉμ§6. λμ곡κ°κ΅¬μ‘°μ μ°μ
λ°°μΉ λ³ν
μ 4λΆ λμκ΅°κ³Ό λ°μ μΆ
μ 9μ₯ λμκ΅°κ³Ό λ°μ μΆ νμ± λν₯
1. λμκ΅°μ κ°λ
κ³Ό κ΄λ ¨ μ μ±
2. μ€κ΅ λ΄ μ£Όμ λμκ΅°μ νμ± λ° λΆν¬λν₯3. 3λ λμκ΅°4. κΈ°ν μ£Όμ λμκ΅°5. μ£Όμ λ°μ μΆμ νμ± λ° λ°μ μ λ§
μ 10μ₯ μ΄