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    ๋ฌด์šฉ ์˜์ƒ์„ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์ƒํ™œ๊ณผํ•™๋Œ€ํ•™ ์˜๋ฅ˜ํ•™๊ณผ, 2022. 8. ํ•˜์ง€์ˆ˜.Fashion images have recently been turned to digital contents and delivered to customers as moving images through video-based social media platforms. Video-based moving fashion content provides users a more realistic and vivid experience. In accordance with this, a large number of global fashion brands employ moving fashion content as a major tool for client engagement. Additionally, customers are exposed to new meaning and fashion culture through moving fashion images. Consumers perceive body movements and clothing as one moving figure in fashion video content, and moving fashion images display innovative modeling and aesthetics that set them apart from pictures of still bodies and clothing in photographs. However, there is no research on the visual impacts of body movements and clothing on the observer from the perspective of perceiving them as a formative structure. As a result, there is a growing demand for research on how moving bodies and clothing are observed and perceived using visual perception. In order to better understand body movements and clothing perception systems, this study will concentrate on dancing costumes that that maximize movement. The research questions of this study are as follows. First, setting up an observation system for body movements and clothing. Second, developing perception systems for body movements and clothing. Third, the specificity of body movements and clothing perception is derived. For this purpose, an experimental study based on embodiment research was designed for this study. The embodiment research used in this study included a literature review, questionnaire survey, and in-depth interview. The specific research methods and procedures are as follows. First, in the first stage of the study, items to observe body movements and clothes were derived based on the principles and factors of perception of body movements and clothes through theoretical consideration. In addition, in the second stage, experimental research was conducted to produce and observe image stimuli, to verify observation items of body movements and clothing, and to extract observation items that needed correction and supplementation. The visual perception experience of a moving body and clothing, which was not covered in the survey, was then investigated through an in-depth interview, and a system for observing body movements and clothing was developed. Finally, the body movement specificity and perception system were identified by analyzing the questionnaires and the results of in-depth interviews. The results of this study are as follows. First, observation items of body movements and clothing and factors affecting observation of each item were identified, and an observation system of body movements and clothing including these contents was developed. The observation items of body movements and clothing were classified into mainly moving body, moving clothing, body and clothing movement, and body and clothing space. The detailed observation items of the moving body are the parts of the moving body and the movement of the body, and the detailed observation items of the moving clothes are the change of lines, the change of shape, and the change of the surface. Furthermore, the detailed items to observe the movement of the body and clothes were the position and direction of the shape, the shape and size, and the movement of the body and clothes. Body movements and clothing space could be observed through categorizing them into space occupied, space to interact with the outside, space with the observer, space inside the clothing, and space between body and clothing. In addition, personal space-dynamic space, opened space-closed space, determinate space-indeterminate space, layer separated apparel-one layered apparel, apparel-body priority space-body-apparel priority space were presented as a pair of opposite adjectives to observe each space. Second, the perception of body movements and clothes was examined, and it was confirmed that body movements and perception of clothes appeared in the dimensions of shape perception and relational perception. Shape perception is the perception of body movements and clothing through shape change, including body shape, clothing shape, and body and clothing movement shape. Moreover, relationship perception is perceived through the process of recognizing and recognizing the relationship between body movements and clothing shape and texture. Relational perception is classified into the relation of visual priority due to movement, the relation of shape change causality due to body movements, and the interaction relation between body movements-shape of clothes-texture. Finally, body movements and perception of clothes were classified into body movements, shape of clothes, movements of body and clothes, and perception of texture, and the specificity of perception displayed in each item was examined. The specificities of body movements and clothing perception revealed in this study are as follows. First, in body movements perception, the characteristic of selective perception of body movements having visual priority and the characteristic of body movements perception error due to the expected effect of the costume shape appear. Second, in costume shape perception, the characteristics of ordinary shape perception by subjective impression, partial perception of shape by moving body parts, and simplified shape perception for complex motion information processing appear. Third, in the movement perception of body and clothing, there are overall perception of movement by sequential movement, multidimensional perception of movement by active selection of shape, and movement trace perception by afterimage effect. Fourth, texture perception has the characteristic that changes appearing on the surface of a material are perceived by visual touch and kinesthetic sense. In addition, it was confirmed that the texture plays an important role as a determinant of shaping perception that determines the shape and movement characteristics of body movements and clothing. The results of this study explain that the perception of body movements and clothes is different from the perception of a body and clothes in a stationary state like a photographic image. When choosing a costume design with body movements or a visual medium that ultimately portrays body movements, a new formative principle to be grasped is the distinctiveness of a moving body and shape perception of clothing. Moreover, the perception of body movements and clothes is perceived in a multidimensional sense with temporality, unlike still images, and perceptual activities based on visual changes of body movements and clothes will be factors and experiences that give pleasure to consumers and viewers. The academic and industrial significance of this study is as follows. First, it is meaningful in that it presented an observation system for body movements and clothes from an academic point of view. Therefore, it can be used as a framework for interpreting and analyzing moving images in various fields to which moving bodies and costumes are applied, such as dance and fashion. Second, it has academic significance in suggesting the body movements and clothing perception system and revealing the specificity of perception. The body movements and clothing perception system and the specificity of perception derived from this study explain the difference between the perception of a motion image from a still image such as a photographic image or a real object and the principle of motion formation. It is expected that this will be a basic study to establish the formativeness of moving clothes reflecting the trend of the times according to the change of the media environment. Third, it is meaningful that the theoretical framework was put into practice using the embodiment study. In this study, observation items of body movements and clothes were derived according to the implementation process of the embodiment study, and stimuli including clothes and images were produced. It is expected that the methodology introduced in this study can be used in various ways in follow-up studies on body movements and costumes as well as fashion and dance. Finally, it is expected to form a fundamental basis for designing clothes to which body movements are applied and to present standards for designing clothes to which body movements are applied. The body movements and clothing perception system can present a new formative perception capability to designers in terms of the relationship with the body, the relationship with space, and the shape, line, shape, and material of movement. This can be applied to dancing costumes, stage costumes, performance costumes, and various fields that require costumes combined with movement, such as fashion. It is expected that designers will create new designs with three-dimensional and dynamic design thinking and expression methods using the elements of relational perception and formative perception presented in this study.์ตœ๊ทผ ํŒจ์…˜ ์ด๋ฏธ์ง€๋Š” ๋””์ง€ํ„ธ ์ฝ˜ํ…์ธ ๋กœ ์ „ํ™˜๋˜์–ด ๋™์˜์ƒ ๊ธฐ๋ฐ˜์˜ ์†Œ์…œ ๋ฏธ๋””์–ด๋ฅผ ํ†ตํ•ด ์›€์ง์ด๋Š” ์˜์ƒ ์ด๋ฏธ์ง€๋กœ ์†Œ๋น„์ž์—๊ฒŒ ๋ณด๊ธ‰๋˜๊ณ  ์žˆ๋‹ค. ๋™์˜์ƒ ๊ธฐ๋ฐ˜์˜ ์›€์ง์ด๋Š” ํŒจ์…˜ ์ฝ˜ํ…์ธ ๋Š” ์‹ค์ œ์™€ ๊ฐ™์€ ์ƒ์ƒํ•œ ์‹ค๊ฐ์„ ๊ทน๋Œ€ํ™”ํ•˜์—ฌ ์†Œ๋น„์ž๋“ค์—๊ฒŒ ์ „๋‹ฌํ•˜๋Š” ํšจ๊ณผ๊ฐ€ ์žˆ๋‹ค. ์ด์— ๋งž์ถ”์–ด ๋‹ค์ˆ˜์˜ ๊ธ€๋กœ๋ฒŒ ํŒจ์…˜ ๋ธŒ๋žœ๋“œ๋“ค์€ ์›€์ง์ด๋Š” ํŒจ์…˜ ์ฝ˜ํ…์ธ ๋ฅผ ๋ธŒ๋žœ๋“œ์™€ ๊ณ ๊ฐ ๊ฐ„ ์ค‘์š”ํ•œ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜์˜ ์ˆ˜๋‹จ์œผ๋กœ ํ™œ์šฉํ•˜๊ณ , ์†Œ๋น„์ž๋“ค์€ ์›€์ง์ด๋Š” ํŒจ์…˜ ์ด๋ฏธ์ง€์˜ ๊ฒฝํ—˜์„ ํ†ตํ•ด ๊ทธ ์•ˆ์— ๋‚ด์žฌ ๋œ ์ƒˆ๋กœ์šด ์˜๋ฏธ์™€ ํŒจ์…˜๋ฌธํ™”๋ฅผ ๊ฒฝํ—˜ํ•œ๋‹ค. ํŒจ์…˜ ์˜์ƒ ์ฝ˜ํ…์ธ ์—์„œ ์†Œ๋น„์ž๋Š” ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์„ ํ•˜๋‚˜์˜ ์›€์ง์ด๋Š” ์กฐํ˜•์œผ๋กœ ์ง€๊ฐํ•˜๊ณ  ์›€์ง์ด๋Š” ํŒจ์…˜ ์ด๋ฏธ์ง€๋Š” ์‚ฌ์ง„์˜ ์ •์ง€๋œ ๋ชธ๊ณผ ์˜์ƒ์˜ ์ด๋ฏธ์ง€์™€ ์ฐจ๋ณ„ํ™”๋˜๋Š” ์ƒˆ๋กœ์šด ์กฐํ˜•๊ณผ ๋ฏธํ•™์„ ๋ณด์—ฌ์ค€๋‹ค. ํ•˜์ง€๋งŒ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์„ ์กฐํ˜• ๊ตฌ์กฐ๋กœ ์ธ์‹ํ•˜๋Š” ๊ด€์ ์—์„œ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์ด ๊ด€์ฐฐ์ž์—๊ฒŒ ๋ฏธ์น˜๋Š” ์‹œ๊ฐ์  ํšจ๊ณผ์— ๊ด€ํ•œ ์—ฐ๊ตฌ๋Š” ๋ถ€์žฌํ•œ ์ƒํ™ฉ์œผ๋กœ, ์‹œ์ง€๊ฐ์— ๊ธฐ๋ฐ˜ํ•œ ์›€์ง์ด๋Š” ๋ชธ๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ๊ณผ ์ง€๊ฐ์— ๊ด€ํ•œ ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ์ด ์ œ๊ธฐ๋œ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์›€์ง์ž„์ด ๊ทน๋Œ€ํ™”๋˜์–ด ๋‚˜ํƒ€๋‚˜๋Š” ๋ฌด์šฉ์˜์ƒ์„ ์ค‘์‹ฌ์œผ๋กœ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ์ฒด๊ณ„๋ฅผ ๊ณ ์ฐฐํ•˜๊ณ ์ž ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ์—ฐ๊ตฌ ๋ฌธ์ œ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ์ฒด๊ณ„๋ฅผ ๊ตฌ์ถ•ํ•œ๋‹ค. ๋‘˜์งธ, ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ์ฒด๊ณ„๋ฅผ ๊ตฌ์ถ•ํ•œ๋‹ค. ์…‹์งธ, ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ ์ง€๊ฐ์˜ ํŠน์ˆ˜์„ฑ์„ ๋„์ถœํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ด๋ฅผ ์œ„ํ•˜์—ฌ ์ฒดํ˜„์—ฐ๊ตฌ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์‹คํ—˜์—ฐ๊ตฌ๋ฅผ ์„ค๊ณ„ํ•˜์˜€์œผ๋ฉฐ ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ˆ˜ํ–‰ํ•œ ์ฒดํ˜„์—ฐ๊ตฌ๋Š” ๋ฌธํ—Œ ์—ฐ๊ตฌ, ์„ค๋ฌธ์กฐ์‚ฌ, ์‹ฌ์ธต ๋ฉด์ ‘์„ ํฌํ•จํ•œ๋‹ค. ๊ทธ ๊ตฌ์ฒด์ ์ธ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๊ณผ ์ ˆ์ฐจ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ๋จผ์ € ์—ฐ๊ตฌ์˜ ์ฒซ ๋‹จ๊ณ„์—์„œ๋Š” ์ด๋ก ์  ๊ณ ์ฐฐ์„ ํ†ตํ•ด์„œ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ์›๋ฆฌ์™€ ์š”์ธ์„ ๋ฐ”ํƒ•์œผ๋กœ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ ๊ด€์ฐฐ ํ•ญ๋ชฉ์„ ๋„์ถœํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋‘ ๋ฒˆ์งธ ๋‹จ๊ณ„์—์„œ๋Š” ์˜์ƒ ์ž๊ทน๋ฌผ์„ ์ œ์ž‘ํ•˜๊ณ  ์ด๋ฅผ ๊ด€์ฐฐํ•˜๋Š” ์‹คํ—˜์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์—ฌ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ ํ•ญ๋ชฉ์„ ๊ฒ€์ฆํ•˜๊ณ  ์ˆ˜์ •๊ณผ ๋ณด์™„์ด ํ•„์š”ํ•œ ๊ด€์ฐฐ ํ•ญ๋ชฉ์„ ์ถ”์ถœํ•˜์˜€๋‹ค. ๋‹ค์Œ์œผ๋กœ, ์„ค๋ฌธ์กฐ์‚ฌ์—์„œ ํŒŒ์•…ํ•  ์ˆ˜ ์—†์—ˆ๋˜ ์›€์ง์ด๋Š” ๋ชธ๊ณผ ์˜์ƒ์˜ ์‹œ์ง€๊ฐ ๊ฒฝํ—˜์„ ์กฐ์‚ฌํ•˜๊ธฐ ์œ„ํ•œ ์‹ฌ์ธต ๋ฉด์ ‘์„ ์ˆ˜ํ–‰ํ•˜์—ฌ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ์ฒด๊ณ„๋ฅผ ๊ตฌ์ถ•ํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์„ค๋ฌธ์กฐ์‚ฌ ๋‹ต๋ณ€์ง€์™€ ์‹ฌ์ธต ๋ฉด์ ‘์˜ ๊ฒฐ๊ณผ๋ฅผ ๋ถ„์„ํ•˜์—ฌ ๋ชธ์˜ ์›€์ง์ž„์˜ ์ง€๊ฐ์ฒด๊ณ„์™€ ํŠน์ˆ˜์„ฑ์„ ๋ฐํ˜”๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ ํ•ญ๋ชฉ๊ณผ ๊ฐ ํ•ญ๋ชฉ ๊ด€์ฐฐ์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ์š”์ธ์„ ๋ฐํ˜€ ์ด๋“ค์˜ ๋‚ด์šฉ์„ ํฌํ•จํ•˜๋Š” ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ์ฒด๊ณ„๋ฅผ ๊ตฌ์ถ•ํ•˜์˜€๋‹ค. ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ ํ•ญ๋ชฉ์€ ํฌ๊ฒŒ ์›€์ง์ด๋Š” ๋ชธ, ์›€์ง์ด๋Š” ์˜์ƒ, ๋ชธ๊ณผ ์˜์ƒ์˜ ์›€์ง์ž„, ๋ชธ๊ณผ ์˜์ƒ์˜ ๊ณต๊ฐ„์œผ๋กœ ๋ถ„๋ฅ˜๋œ๋‹ค. ์›€์ง์ด๋Š” ๋ชธ์˜ ์„ธ๋ถ€ ๊ด€์ฐฐ ํ•ญ๋ชฉ์€ ์›€์ง์ด๋Š” ์‹ ์ฒด์˜ ๋ถ€์œ„์™€ ์‹ ์ฒด์˜ ๋™์ž‘์ด๋ฉฐ, ์›€์ง์ด๋Š” ์˜์ƒ์˜ ์„ธ๋ถ€ ๊ด€์ฐฐ ํ•ญ๋ชฉ์€ ์„ ์˜ ๋ณ€ํ™”, ํ˜•์˜ ๋ณ€ํ™”, ํ‘œ๋ฉด์˜ ๋ณ€ํ™”์ด๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋ชธ๊ณผ ์˜์ƒ์˜ ์›€์ง์ž„์„ ๊ด€์ฐฐํ•˜๋Š” ์„ธ๋ถ€ ํ•ญ๋ชฉ์€ ํ˜•ํƒœ์˜ ์œ„์น˜์™€ ๋ฐฉํ–ฅ, ํ˜•ํƒœ์™€ ํฌ๊ธฐ, ๋ชธ๊ณผ ์˜์ƒ์˜ ์›€์ง์ž„์ด๋‹ค. ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ณต๊ฐ„์€ ์ ์œ ํ•˜๋Š” ๊ณต๊ฐ„, ์™ธ๋ถ€์™€ ์ƒํ˜ธ์ž‘์šฉํ•˜๋Š” ๊ณต๊ฐ„, ๊ด€์ฐฐ์ž์™€์˜ ๊ณต๊ฐ„, ์˜์ƒ ๋‚ด๋ถ€์˜ ๊ณต๊ฐ„, ๋ชธ๊ณผ ์˜์ƒ ์‚ฌ์ด์˜ ๊ณต๊ฐ„์œผ๋กœ ์œ ํ˜•ํ™”ํ•˜์—ฌ ๊ด€์ฐฐํ•  ์ˆ˜ ์žˆ๋‹ค. ๊ฐ ๊ณต๊ฐ„์„ ๊ด€์ฐฐํ•˜๊ธฐ ์œ„ํ•œ ์ƒ๋ฐ˜ ๋˜๋Š” ํ˜•์šฉ์‚ฌ ์Œ์œผ๋กœ ๊ฐœ์ธ๊ณต๊ฐ„-์—ญ๋™๊ณต๊ฐ„, ๊ฐœ๋ฐฉํ˜• ๊ณต๊ฐ„-ํ์‡„ํ˜• ๊ณต๊ฐ„, ๋ช…๋ฃŒํ˜• ๊ณต๊ฐ„-๋ถˆ๋ช…๋ฃŒํ˜• ๊ณต๊ฐ„, ๋ถ„๋ฆฌํ˜• ์˜์ƒ ๊ณต๊ฐ„-ํ†ตํ•ฉํ˜• ์˜์ƒ ๊ณต๊ฐ„, ์˜๋ณต ์šฐ์„ ํ˜• ๊ณต๊ฐ„-์‹ ์ฒด ์šฐ์„ ํ˜• ๊ณต๊ฐ„์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๋‘˜์งธ, ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ์„ ๊ณ ์ฐฐํ•˜์˜€๊ณ  ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ์€ ํ˜•ํƒœ ์ง€๊ฐ๊ณผ ๊ด€๊ณ„ ์ง€๊ฐ์˜ ์ฐจ์›์œผ๋กœ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ํ˜•ํƒœ ์ง€๊ฐ์€ ํ˜•ํƒœ์˜ ๋ณ€ํ™”๋ฅผ ํ†ตํ•ด์„œ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์„ ์ง€๊ฐํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ชธ์˜ ํ˜•ํƒœ, ์˜์ƒ์˜ ํ˜•ํƒœ, ๋ชธ๊ณผ ์˜์ƒ์˜ ์›€์ง์ž„์˜ ํ˜•ํƒœ๊ฐ€ ์ด์— ํฌํ•จ๋œ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๊ด€๊ณ„ ์ง€๊ฐ์€ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ์ด โ€˜๋ชธ์˜ ์›€์ง์ž„โ€™๊ณผ โ€˜์˜์ƒ ํ˜•ํƒœโ€™์™€ โ€˜์žฌ์งˆ๊ฐโ€™์˜ ๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜๊ณ  ์ธ์ง€ํ•˜๋Š” ๊ณผ์ •์„ ํ†ตํ•ด์„œ ์ง€๊ฐ๋˜๋Š” ๊ฒƒ์ด๋‹ค. ๊ด€๊ณ„ ์ง€๊ฐ์€ ์›€์ง์ž„์— ์˜ํ•œ ์‹œ๊ฐ ์šฐ์„ ์„ฑ์˜ ๊ด€๊ณ„, ๋ชธ์˜ ์›€์ง์ž„์— ์˜ํ•œ ํ˜•ํƒœ ๋ณ€ํ™” ์ธ๊ณผ์„ฑ์˜ ๊ด€๊ณ„, ๋ชธ์˜ ์›€์ง์ž„-์˜์ƒ ํ˜•ํƒœ-์žฌ์งˆ๊ฐ์˜ ์ƒํ˜ธ์ž‘์šฉ ๊ด€๊ณ„๋กœ ๋ถ„๋ฅ˜๋œ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ์„ ๋ชธ์˜ ์›€์ง์ž„, ์˜์ƒ ํ˜•ํƒœ, ๋ชธ๊ณผ ์˜์ƒ์˜ ์›€์ง์ž„, ์žฌ์งˆ๊ฐ ์ง€๊ฐ์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์—ฌ ๊ฐ ํ•ญ๋ชฉ์—์„œ ๋‚˜ํƒ€๋‚˜๋Š” ์ง€๊ฐ์˜ ํŠน์ˆ˜์„ฑ์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ๋ฐํžŒ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ ์ง€๊ฐ์˜ ํŠน์ˆ˜์„ฑ์€ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๋ชธ์˜ ์›€์ง์ž„ ์ง€๊ฐ์—์„œ๋Š” ์‹œ๊ฐ์  ์šฐ์„ ์„ฑ์„ ๊ฐ–๋Š” ๋ชธ์˜ ์›€์ง์ž„์˜ ์„ ํƒ์  ์ง€๊ฐ์˜ ํŠน์„ฑ๊ณผ ์˜์ƒ ํ˜•ํƒœ ๊ธฐ๋Œ€ํšจ๊ณผ์— ์˜ํ•œ ๋ชธ์˜ ์›€์ง์ž„ ์ง€๊ฐ์˜ค๋ฅ˜์˜ ํŠน์„ฑ์ด ๋‚˜ํƒ€๋‚œ๋‹ค. ๋‘˜์งธ, ์˜์ƒ ํ˜•ํƒœ ์ง€๊ฐ์—์„œ๋Š” ์ฃผ๊ด€์  ์ธ์ƒ์— ์˜ํ•œ ํ‰์ƒ์  ํ˜•ํƒœ ์ง€๊ฐ, ์›€์ง์ด๋Š” ์‹ ์ฒด ๋ถ€์œ„์— ์˜ํ•œ ํ˜•ํƒœ์˜ ๋ถ€๋ถ„์  ์ง€๊ฐ, ๋ณต์žกํ•œ ์›€์ง์ž„ ์ •๋ณด์ฒ˜๋ฆฌ๋ฅผ ์œ„ํ•œ ํ˜•ํƒœ์˜ ๋‹จ์ˆœํ™” ์ง€๊ฐ์˜ ํŠน์„ฑ์ด ๋‚˜ํƒ€๋‚œ๋‹ค. ์…‹์งธ, ๋ชธ๊ณผ ์˜์ƒ์˜ ์›€์ง์ž„ ์ง€๊ฐ์—์„œ๋Š” ์ˆœ์ฐจ์ ์ธ ์›€์ง์ž„์— ์˜ํ•จ ์›€์ง์ž„์˜ ์ „์ฒด์  ์ง€๊ฐ, ํ˜•ํƒœ์˜ ๋Šฅ๋™์  ์„ ํƒ์— ์˜ํ•œ ์›€์ง์ž„์˜ ๋‹ค์ฐจ์› ์ง€๊ฐ, ์ž”์ƒํšจ๊ณผ์— ์˜ํ•œ ์›€์ง์ž„ ํ”์  ์ง€๊ฐ ํŠน์„ฑ์ด ์žˆ๋‹ค. ๋„ท์งธ, ์žฌ์งˆ๊ฐ ์ง€๊ฐ์€ ์†Œ์žฌ์˜ ํ‘œ๋ฉด์—์„œ ๋‚˜ํƒ€๋‚˜๋Š” ๋ณ€ํ™”๋ฅผ ์‹œ๊ฐ์  ์ด‰๊ฐ๊ณผ ์šด๋™๊ฐ๊ฐ์— ์˜ํ•ด์„œ ์ง€๊ฐ๋œ๋‹ค๋Š” ํŠน์„ฑ์„ ๊ฐ€์ง„๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์žฌ์งˆ๊ฐ์€ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ํ˜•ํƒœ์™€ ์›€์ง์ž„์˜ ํŠน์„ฑ์„ ๊ฒฐ์ •ํ•˜๋Š” ์กฐํ˜• ์ง€๊ฐ ํŒ๋‹จ์˜ ๊ฒฐ์ •์ธ์ž๋กœ์„œ์˜ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ด์™€ ๊ฐ™์€ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ์€ ์‚ฌ์ง„ ์ด๋ฏธ์ง€์™€ ๊ฐ™์ด ์ •์ง€๋œ ์ƒํƒœ์˜ ๋ชธ๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ๊ณผ ์ฐจ๋ณ„์„ฑ์ด ์žˆ์Œ์„ ์„ค๋ช…ํ•œ๋‹ค. ์›€์ง์ด๋Š” ๋ชธ๊ณผ ์˜์ƒ์˜ ํ˜•ํƒœ ์ง€๊ฐ์˜ ํŠน์ˆ˜์„ฑ์— ๋Œ€ํ•œ ์ดํ•ด๋Š” ๋ชธ์˜ ์›€์ง์ž„์ด ์ ์šฉ๋œ ์˜์ƒ๋””์ž์ธ ๋˜๋Š”, ๋ชธ์˜ ์›€์ง์ž„์„ ์ตœ์ข…์ ์œผ๋กœ ๋ณด์—ฌ์ฃผ๋Š” ์‹œ๊ฐ ๋งค์ฒด์—์„œ ์˜์ƒ์„ ์„ ํƒํ•  ๋•Œ ์ˆ™์ง€ํ•ด์•ผ ํ•  ์ƒˆ๋กœ์šด ์กฐํ˜• ์›๋ฆฌ๋กœ ์ž‘์šฉํ•  ๊ฒƒ์ด๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ์€ ์ •์ง€ ์ด๋ฏธ์ง€์™€ ๋‹ฌ๋ฆฌ ์‹œ๊ฐ„์„ฑ์„ ๊ฐ€์ง„ ๋‹ค์ฐจ์›์—์„œ ์ง€๊ฐ๋˜๋Š” ๊ฒƒ์œผ๋กœ, ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์‹œ๊ฐ์  ๋ณ€ํ™”์— ๊ธฐ๋ฐ˜ํ•˜๋Š” ์ง€๊ฐ ํ™œ๋™์€ ์†Œ๋น„์ž์™€ ์‹œ์ฒญ์ž์—๊ฒŒ ์ฆ๊ฑฐ์›€์„ ์ฃผ๋Š” ์š”์ธ๊ณผ ๊ฒฝํ—˜์ด ๋  ๊ฒƒ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ํ•™๋ฌธ์  ์‚ฐ์—…์  ์˜์˜๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ํ•™์ˆ ์  ์ธก๋ฉด์—์„œ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ์ฒด๊ณ„๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค๋Š” ๋ฐ ์˜์˜๊ฐ€ ์žˆ๋‹ค. ์ด๋Š” ๋ฌด์šฉ ๋ถ„์•ผ๋ฟ ํŒจ์…˜๊ณผ ๊ฐ™์€ ์›€์ง์ด๋Š” ๋ชธ๊ณผ ์˜์ƒ์ด ์ ์šฉ๋œ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์—์„œ ์›€์ง์ด๋Š” ์ด๋ฏธ์ง€๋ฅผ ํ•ด์„ํ•˜๊ณ  ๋ถ„์„ํ•˜๋Š” ํ‹€๋กœ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ๋‘˜์งธ, ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ์ฒด๊ณ„๋ฅผ ์ œ์‹œํ•˜๊ณ  ์ง€๊ฐ์˜ ํŠน์ˆ˜์„ฑ์„ ๋ฐํ˜”๋‹ค๋Š” ๋ฐ์— ํ•™๋ฌธ์  ์˜์˜๊ฐ€ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ๋„์ถœํ•œ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ์ฒด๊ณ„์™€ ์ง€๊ฐ์˜ ํŠน์ˆ˜์„ฑ์€ ์‚ฌ์ง„ ์ด๋ฏธ์ง€ ๋˜๋Š” ์‹ค์ œ ๋Œ€์ƒ๊ณผ ๊ฐ™์ด ์ •์ง€๋œ ์ด๋ฏธ์ง€์™€์˜ ์›€์ง์ž„ ์ด๋ฏธ์ง€ ์ง€๊ฐ์˜ ์ฐจ๋ณ„์„ฑ๊ณผ ์›€์ง์ด๋Š” ์กฐํ˜• ์›๋ฆฌ๋ฅผ ์„ค๋ช…ํ•œ๋‹ค. ์ด๋Š” ๋ฏธ๋””์–ด ํ™˜๊ฒฝ์˜ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์‹œ๋Œ€์  ํ๋ฆ„์ด ๋ฐ˜์˜๋œ ์›€์ง์ด๋Š” ์˜์ƒ์˜ ์กฐํ˜•์„ฑ์„ ๊ตฌ์ถ•ํ•˜๋Š” ๊ธฐ์ดˆ ์—ฐ๊ตฌ๊ฐ€ ๋˜๊ธฐ๋ฅผ ๊ธฐ๋Œ€ํ•œ๋‹ค. ์…‹์งธ, ์ด๋ก ์  ํ”„๋ ˆ์ž„์„ ๊ตฌํ˜„ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ฒดํ˜„ ์—ฐ๊ตฌ๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค๋Š” ๋ฐ ์˜์˜๊ฐ€ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ฒดํ˜„ ์—ฐ๊ตฌ์˜ ์ˆ˜ํ–‰๊ณผ์ •์— ๋”ฐ๋ผ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ ํ•ญ๋ชฉ์„ ๋„์ถœํ•˜๊ณ  ์˜์ƒ๊ณผ ์˜์ƒ์„ ํฌํ•จํ•˜๋Š” ์ž๊ทน๋ฌผ ์ œ์ž‘ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ์†Œ๊ฐœํ•˜๋Š” ๋ฐฉ๋ฒ•๋ก ์ด ํŒจ์…˜๊ณผ ๋ฌด์šฉ ๋ฟ ์•„๋‹ˆ๋ผ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์— ๊ด€ํ•œ ํ›„์† ์—ฐ๊ตฌ๋“ค์—์„œ ๋‹ค์–‘ํ•˜๊ฒŒ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ๋ชธ์˜ ์›€์ง์ž„์ด ์ ์šฉ๋œ ์˜์ƒ์„ ๋””์ž์ธํ•˜๋Š” ์›๋ฆฌ์  ๊ธฐ๋ฐ˜์„ ํ˜•์„ฑํ•˜์—ฌ ๋ชธ์˜ ์›€์ง์ž„์ด ์ ์šฉ๋œ ์˜์ƒ์„ ๋””์ž์ธํ•˜๊ธฐ ์œ„ํ•œ ๊ธฐ์ค€์„ ์ œ์‹œํ•  ๊ฒƒ์œผ๋กœ ์ „๋ง๋œ๋‹ค. ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ์ฒด๊ณ„๋Š” ๋ชธ๊ณผ์˜ ๊ด€๊ณ„, ๊ณต๊ฐ„๊ณผ์˜ ๊ด€๊ณ„์™€ ์›€์ง์ž„์˜ ํ˜•ํƒœ, ์„ , ํ˜•, ์†Œ์žฌ์˜ ์ธก๋ฉด์—์„œ ์ƒˆ๋กœ์šด ์กฐํ˜• ์ง€๊ฐ์˜ ์—ญ๋Ÿ‰์„ ๋””์ž์ด๋„ˆ์—๊ฒŒ ์ œ์‹œํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด๋Š” ๋ฌด์šฉ ์˜์ƒ์„ ๋น„๋กฏํ•œ ๋ฌด๋Œ€์˜์ƒ, ํผํฌ๋จผ์Šค ์˜์ƒ, ํŒจ์…˜๊ณผ ๊ฐ™์ด ์›€์ง์ž„๊ณผ ๊ฒฐํ•ฉ ๋œ ์˜์ƒ์ด ํ•„์š”ํ•œ ์—ฌ๋Ÿฌ ๋ถ„์•ผ์—์„œ ์ ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ๋””์ž์ด๋„ˆ๊ฐ€ ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์‹œํ•˜๋Š” ๊ด€๊ณ„ ์ง€๊ฐ๊ณผ ์กฐํ˜• ์ง€๊ฐ์˜ ์š”์†Œ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ž…์ฒด์ ์ด๊ณ  ์—ญ๋™์ ์ธ ๋””์ž์ธ ์‚ฌ๊ณ ์™€ ํ‘œํ˜„ ๋ฐฉ์‹์œผ๋กœ ์ƒˆ๋กœ์šด ๋””์ž์ธ์„ ์ฐฝ์กฐํ•˜๊ธฐ๋ฅผ ๊ธฐ๋Œ€ํ•œ๋‹ค.๋ชฉ ์ฐจ ์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ๊ณผ ํ•„์š”์„ฑ 1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ๊ณผ ์—ฐ๊ตฌ ๋ฌธ์ œ 8 ์ œ 2 ์žฅ ์ด๋ก ์  ๋ฐฐ๊ฒฝ 12 ์ œ 1 ์ ˆ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ ๊ด€์ฐฐ์— ํ•„์š”ํ•œ ์›€์ง์ž„ ๋ถ„์„ ๋ฐฉ๋ฒ•๋ก  12 1. ๋ผ๋ฐ˜์˜ ์›€์ง์ž„ ๋ถ„์„ ์ด๋ก  12 2. ์›€์ง์ž„ ์š”์†Œ 17 ์ œ 2 ์ ˆ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ ๊ด€์ฐฐ์— ํ•„์š”ํ•œ ์˜์ƒ ๋ถ„์„ ๋ฐฉ๋ฒ•๋ก  28 1. ๋“ค๋กฑ์˜ ABC ์ง€๊ฐ์ฒด๊ณ„ 28 2. ABC์˜ ๊ณต๊ฐ„ ์ง€๊ฐ 33 ์ œ 3 ์ ˆ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ์›๋ฆฌ์™€ ์š”์ธ 37 1. ํ˜•ํƒœ ๋ณ€ํ™” ์ง€๊ฐ ์š”์ธ 39 2. ๊ณต๊ฐ„๊ณผ์˜ ์ƒํ˜ธ์ž‘์šฉ ์ง€๊ฐ ์š”์ธ 42 ์ œ 3 ์žฅ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 47 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 47 1. ์—ฐ๊ตฌ ์„ค๊ณ„ 47 2. ์„ค๋ฌธ ์กฐ์‚ฌ 53 3. ์‹ฌ์ธต ๋ฉด์ ‘ 58 4. ์—ฐ๊ตฌ ์ฐธ์—ฌ์ž 60 5. ๋ถ„์„ ๋ฐฉ๋ฒ• 62 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ ๋Œ€์ƒ ๋ฐ ๋ฒ”์œ„ 63 1. ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ ํ•ญ๋ชฉ 63 2. ์ž๊ทน๋ฌผ ๊ฐœ๋ฐœ 7 ์ œ 4 ์žฅ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ ๋ฐ ์ง€๊ฐ์˜ ์‹ค์ฆ์  ๊ณ ์ฐฐ 84 ์ œ 1 ์ ˆ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ ํ•ญ๋ชฉ ๊ฒ€์ฆ 84 1. ์›€์ง์ด๋Š” ๋ชธ 84 2. ์›€์ง์ด๋Š” ์˜์ƒ 100 3. ๋ชธ๊ณผ ์˜์ƒ์˜ ์›€์ง์ž„ 114 4. ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ณต๊ฐ„ ์œ ํ˜• 122 5. ๊ด€์ฐฐ ํ•ญ๋ชฉ ๊ฒ€์ฆ ๊ฒฐ๊ณผ 126 ์ œ 2 ์ ˆ ์‹ ์ฒด ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ ๋ฐ ์ง€๊ฐ์— ๊ด€ํ•œ ์‹ฌ์ธต ๋ฉด์ ‘ 129 1. ์›€์ง์ด๋Š” ์˜์ƒ์˜ ๊ด€์ฐฐ ๋ฐ ์ง€๊ฐ 129 2. ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ณต๊ฐ„ ๊ด€์ฐฐ ๋ฐ ์ง€๊ฐ 132 ์ œ 3 ์ ˆ ์ข…ํ•ฉ์  ๋…ผ์˜ 144 1. ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ ํ•ญ๋ชฉ์— ๊ด€ํ•œ ์ถ”๊ฐ€ ๊ฒ€์ฆ๊ณผ ์ˆ˜์ • ๋ฐ ๋ณด์™„ 144 2. ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ ํ•ญ๋ชฉ์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ์š”์ธ 148 ์ œ 5 ์žฅ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ ๋ฐ ์ง€๊ฐ์ฒด๊ณ„ 151 ์ œ 1 ์ ˆ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ด€์ฐฐ์ฒด๊ณ„ 151 1. ์›€์ง์ด๋Š” ๋ชธ์˜ ๊ด€์ฐฐ์ฒด๊ณ„ 151 2. ์›€์ง์ด๋Š” ์˜์ƒ ๊ด€์ฐฐ์ฒด๊ณ„ 153 3. ๋ชธ๊ณผ ์˜์ƒ์˜ ์›€์ง์ž„ ๊ด€์ฐฐ์ฒด๊ณ„ 156 4. ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ๊ณต๊ฐ„ ๊ด€์ฐฐ์ฒด๊ณ„ 157 ์ œ 2 ์ ˆ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ์˜ ์ง€๊ฐ์ฒด๊ณ„ 161 1. ํ˜•ํƒœ ์ง€๊ฐ 161 2. ๊ด€๊ณ„ ์ง€๊ฐ 175 ์ œ 3 ์ ˆ ๋ชธ์˜ ์›€์ง์ž„๊ณผ ์˜์ƒ ์ง€๊ฐ์˜ ํŠน์ˆ˜์„ฑ 182 ์ œ 6 ์žฅ ๊ฒฐ๋ก  186 ์ฐธ๊ณ ๋ฌธํ—Œ 193 ๋ถ€๋ก 208 Abstract 209๋ฐ•

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    15d-PGJโ‚‚์˜ ์„ธํฌ๋‚ด ํ•ญ์‚ฐํ™” ๋ฐฉ์–ด๊ธฐ์ž‘ ๊ฐ•ํ™”๋ฅผ ํ†ตํ•œ peroxynitrite๋กœ ์œ ๋ฐœ๋œ PC12 ์„ธํฌ์˜ ์‚ฌ๋ฉธ ์–ต์ œ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    An Empirical Analysis of Herd behavior of FDI from South Korea by country, industry and purpose

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์‚ฌํšŒ๊ณผํ•™๋Œ€ํ•™ ๊ฒฝ์ œํ•™๋ถ€, 2022. 8. ์ด์ธํ˜ธ.This study analyzed industrial agglomeration among the behaviors of Korea's foreign direct investment. In particular, it was attempted to examine the agglomeration from a more diverse perspective by defining and analyzing the herd behavior caused by informational externality, out of ways previously studied. In this study, two types of agglomeration were defined and analyzed. First, it was defined as โ€œefficiencyโ€ in which companies can have positive externality by the agglomeration in FDI. Second, it was defined as path dependent โ€œherd behaviorโ€ in which companies imitate the prior decisions of other economic agents in an uncertain situation. In the case of the former, โ€œefficiencyโ€ was measured by the accumulated FDI amount up to 1 year ago, and the latter, โ€œherd behaviorโ€, was defined and analyzed as the sum of the number of new FDI corporations in the last 3 years. In this study, the agglomeration was analyzed using data on FDI from 141 countries from 1990 to 2020. In particular, in order to derive various analysis results, the analysis targets were divided into manufacturing and service industries and analyzed by the industry, and the analysis targets were divided into market-access type and resource-seeking type and analyzed by the investment purpose. As a result of the analysis, first, in the case of total FDI, both efficiency factor and herd behavior were statistically significant, and between the two effects, the effect of herd behavior was greater. Second, as a result of analysis by industry, only herd behavior was statistically significant under same industries, and the efficiency factor was not. In the cross-analysis between manufacturing and service industries, it was found that both herd behavior and efficiency of FDI in the latter service industry were significant when FDI in the manufacturing industry was invested in advance. In addition, it was analyzed that the herd behavior under same industries was stronger than that under different industries. Third, as a result of analysis by the investment purpose, in all cases, the herd behavior was found to be statistically significant, and the herd behavior was greater than the efficiency. In particular, the herd behavior under same purposes was stronger than that under other purposes, and the herd behavior when the market-access type followed the preceding FDI was stronger than that when the resource-seeking FDI followed. The results of this study reveal that the path-dependent herd behavior of Korean companies is occurring in the FDI agglomeration and the effect of herd behavior is stronger than that of the efficiency. In addition, it shows that the effect of herd behavior is strong under same industries and in the latter market-access type. These results can be interpreted as showing the herd behavior not only in the financial sector but also in the real sector such as FDI, suggesting the need for a new perspective to analyze the agglomeration phenomenon.๋ณธ ์—ฐ๊ตฌ๋Š” ํ•œ๊ตญ์˜ ํ•ด์™ธ์ง์ ‘ํˆฌ์ž์˜ ํ–‰ํƒœ ๊ฐ€์šด๋ฐ ๊ตฐ์ง‘ ํ˜„์ƒ์— ๋Œ€ํ•ด์„œ ๋ถ„์„ํ•˜์˜€๋‹ค. ํŠนํžˆ ๊ตฐ์ง‘ํ˜„์ƒ์— ๋Œ€ํ•œ ๊ธฐ์กด์˜ ์—ฐ๊ตฌ์™€ ์ฐจ๋ณ„์ ์œผ๋กœ ์ •๋ณด์  ์™ธ๋ถ€์„ฑ์— ๊ธฐ์ธํ•˜๋Š” ์ ๋ฆผํ–‰ํƒœ๋ฅผ ์ •์˜ํ•˜์—ฌ ๋ถ„์„ํ•จ์œผ๋กœ์จ ๋ณด๋‹ค ๋‹ค์–‘ํ•œ ์‹œ๊ฐ์œผ๋กœ ๊ตฐ์ง‘ํ˜„์ƒ์„ ๊ณ ์ฐฐํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ตฐ์ง‘ํ˜„์ƒ์„ 2๊ฐ€์ง€๋กœ ์ •์˜ํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ฒซ์งธ, ๊ธฐ์—…๋“ค์ด ๊ตฐ์ง‘ํ•จ์œผ๋กœ์จ ๊ธ์ •์ ์ธ ์™ธ๋ถ€ํšจ๊ณผ๋ฅผ ๋ˆ„๋ฆด ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ๋ฐœ์ƒํ•˜๋Š” FDI๋ฅผ โ€œํšจ์œจ์„ฑโ€์œผ๋กœ ์ธํ•œ ๊ตฐ์ง‘ํ˜„์ƒ์œผ๋กœ ์ •์˜ํ•˜์˜€๋‹ค. ๋‘˜์งธ, ๋ถˆํ™•์‹คํ•œ ์ƒํ™ฉ์—์„œ ํƒ€ ๊ฒฝ์ œ์ฃผ์ฒด์˜ ์„ ํ–‰์ ์ธ ๊ฒฐ์ •์„ ๋”ฐ๋ผ์„œ ๋ฐœ์ƒํ•˜๋Š” FDI๋ฅผ โ€œ์ ๋ฆผโ€์œผ๋กœ ์ธํ•œ ๊ตฐ์ง‘ํ˜„์ƒ์œผ๋กœ ์ •์˜ํ•˜์˜€๋‹ค. ์ „์ž์˜ โ€œํšจ์œจ์„ฑโ€์˜ ๊ฒฝ์šฐ ๊ณผ๊ฑฐ 1๋…„ ์ „๊นŒ์ง€์˜ FDI ๋ˆ„์ ํˆฌ์ž๊ธˆ์•ก์œผ๋กœ ์ธก์ •ํ•˜์˜€๊ณ , ํ›„์ž์ธ โ€œ์ ๋ฆผโ€์€ ์ตœ๊ทผ 3๋…„๊ฐ„์˜ ์‹ ๊ทœ๋ฒ•์ธ์ˆ˜์˜ ํ•ฉ์œผ๋กœ ์ •์˜ํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” 1990๋…„๋ถ€ํ„ฐ 2020๋…„๊นŒ์ง€ 141๊ฐœ๊ตญ์˜ FDI ์‹ ๊ทœํˆฌ์ž๊ธˆ์•ก ๋ฐ ์‹ ๊ทœ๋ฒ•์ธ์ˆ˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ ๋ฆผํ˜„์ƒ์— ๋Œ€ํ•ด์„œ ๋ถ„์„ํ•˜์˜€๋‹ค. ํŠนํžˆ ๋‹ค์–‘ํ•œ ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ ๋„์ถœํ•˜๊ธฐ ์œ„ํ•ด์„œ ๋ถ„์„ ๋Œ€์ƒ์„ ์ œ์กฐ์—…๊ณผ ์„œ๋น„์Šค์—…์œผ๋กœ ๋‚˜๋ˆ„์–ด ์‚ฐ์—…๋ณ„๋กœ ๋ถ„์„ํ•˜์˜€์œผ๋ฉฐ, ์‹œ์žฅ์ ‘๊ทผํ˜•๊ณผ ์ž์›์ถ”๊ตฌํ˜•์œผ๋กœ ๋‚˜๋ˆ„์–ด ํˆฌ์ž๋ชฉ์ ๋ณ„๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ, ์ฒซ์งธ, ์ „์ฒด FDI์˜ ๊ฒฝ์šฐ, ํšจ์œจ์„ฑ๊ณผ ์ ๋ฆผ ๋ชจ๋‘ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•œ ์–‘(+)์˜ ๊ด€๊ณ„๊ฐ€ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, 2๊ฐœ์˜ ํšจ๊ณผ ์ค‘์—์„œ๋Š” ์ ๋ฆผ์˜ ํšจ๊ณผ๊ฐ€ ๋” ํฐ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋‘˜์งธ, ์‚ฐ์—…๋ณ„๋กœ ๊ตฌ๋ถ„ํ•˜์—ฌ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ๋™์ข… ์‚ฐ์—…์—์„œ๋Š” ์ ๋ฆผ๋งŒ์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•˜์˜€๊ณ , ํšจ์œจ์„ฑ์€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์ง€ ์•Š๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ œ์กฐ์—…๊ณผ ์„œ๋น„์Šค์—… ๊ฐ„ ๊ต์ฐจํ•˜์—ฌ ๋ถ„์„ํ•œ ๊ฒฝ์šฐ์—๋Š” ์ œ์กฐ์—…์ด ์„ ํ–‰ํ•˜์—ฌ ํˆฌ์ž๋œ ๊ฒฝ์šฐ ํ›„๋ฐœ ์„œ๋น„์Šค์—…์˜ FDI๋Š” ์ ๋ฆผ๊ณผ ํšจ์œจ์„ฑ ๋ชจ๋‘ ์œ ์˜๋ฏธํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์ง€๋งŒ ์„œ๋น„์Šค์—…์ด ์„ ํ–‰ํ•˜์—ฌ ํˆฌ์ž๋œ ๊ฒฝ์šฐ์—๋Š” ํ›„๋ฐœ ์ œ์กฐ์—…์˜ FDI๋Š” ์ ๋ฆผ๋งŒ ์œ ์˜๋ฏธํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ ๋™์ข… ์‚ฐ์—…์—์„œ์˜ ์ ๋ฆผํ–‰ํƒœ๊ฐ€ ์ด์ข… ์‚ฐ์—… ๊ฐ„์˜ ์ ๋ฆผํ–‰ํƒœ๋ณด๋‹ค ๊ฐ•ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์…‹์งธ, ํˆฌ์ž๋ชฉ์ ๋ณ„ ๋ถ„์„ ๊ฒฐ๊ณผ, ๋ชจ๋“  ๊ฒฝ์šฐ์—์„œ ์ ๋ฆผ์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๊ณ , ์ ๋ฆผ์ด ํšจ์œจ์„ฑ๋ณด๋‹ค ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํŠนํžˆ, ๋™์ผํ•œ ๋ชฉ์ ๊ฐ„ ์ ๋ฆผ์ด ๋‹ค๋ฅธ ๋ชฉ์ ๊ฐ„ ์ ๋ฆผ์— ๋น„ํ•ด ๊ฐ•ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์„ ํ–‰ FDI๋ฅผ ์‹œ์žฅ์ ‘๊ทผํ˜• FDI์ด ๋”ฐ๋ผ๊ฐˆ ๋•Œ์˜ ์ ๋ฆผ์ด ์ž์›์ถ”๊ตฌํ˜• FDI์ด ๋”ฐ๋ผ๊ฐˆ ๋•Œ์˜ ์ ๋ฆผ๋ณด๋‹ค ๋” ๊ฐ•ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ํ•œ๊ตญ ๊ธฐ์—…๋“ค์˜ FDI ๊ตฐ์ง‘ํ˜„์ƒ์— ๊ฒฝ๋กœ์˜์กด์ ์ธ ์ ๋ฆผํ–‰ํƒœ๊ฐ€ ๋ฐœ์ƒํ•˜๊ณ  ์žˆ์œผ๋ฉฐ ๊ทธ ํ˜„์ƒ์˜ ์ •๋„๊ฐ€ ํšจ์œจ์„ฑ์— ์˜ํ•œ ๊ตฐ์ง‘ํ˜„์ƒ๋ณด๋‹ค ๋” ๊ฐ•ํ•จ์„ ๋ฐํžˆ๊ณ  ์žˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋™์ข… ์‚ฐ์—…์ผ ๋•Œ, ๊ทธ๋ฆฌ๊ณ  ํ›„๋ฐœ ์‹œ์žฅ์ ‘๊ทผํ˜• FDI์—์„œ ์ ๋ฆผํ–‰ํƒœ๊ฐ€ ๊ฐ•ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์Œ์„ ๋ณด์ด๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ๊ธˆ์œต ๋ถ€๋ฌธ ๋ฟ ์•„๋‹ˆ๋ผ FDI์™€ ๊ฐ™์€ ์‹ค๋ฌผ ๋ถ€๋ฌธ์—์„œ๋„ ์ ๋ฆผํ–‰ํƒœ๊ฐ€ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒƒ์œผ๋กœ ํ•ด์„ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๊ตฐ์ง‘ํ˜„์ƒ์„ ๋ถ„์„ํ•˜๋Š” ์ƒˆ๋กœ์šด ์‹œ๊ฐ์ด ํ•„์š”ํ•จ์„ ์‹œ์‚ฌํ•œ๋‹ค.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ 1 ์ œ 2 ์žฅ ์ด๋ก ์  ๋ฐฐ๊ฒฝ ๋ฐ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  6 ์ œ 1 ์ ˆ ์ด๋ก ์  ๋ฐฐ๊ฒฝ 6 1. FDI ๊ฒฐ์ •์š”์ธ์— ๋Œ€ํ•œ ์ด๋ก ์  ๋ฐฐ๊ฒฝ 6 2. FDI ์ ๋ฆผํ˜„์ƒ์— ๋Œ€ํ•œ ์ด๋ก ์  ๋ฐฐ๊ฒฝ 7 ์ œ 2 ์ ˆ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  9 ์ œ 3 ์žฅ ์‹ค์ฆ๋ถ„์„ ๋ฐฉ๋ฒ•๋ก  ๋ฐ ๋ถ„์„์ž๋ฃŒ 14 ์ œ 1 ์ ˆ ์ ๋ฆผํ˜„์ƒ์— ๋Œ€ํ•œ ์ •์˜ ๋ฐ ๋ณ€์ˆ˜ ์„ค๋ช… 14 ์ œ 2 ์ ˆ ๋ชจํ˜• ์„ค์ • 17 1. ์ „์ฒด FDI ์ ๋ฆผํ˜„์ƒ 17 2. ์‚ฐ์—…๋ณ„ FDI ์ ๋ฆผํ˜„์ƒ 18 3. ํˆฌ์ž๋ชฉ์ ๋ณ„ FDI ์ ๋ฆผํ˜„์ƒ 19 4. ๋ถ„์„์ž๋ฃŒ 20 ์ œ 4 ์žฅ ์‹ค์ฆ๋ถ„์„ ๊ฒฐ๊ณผ 22 ์ œ 1 ์ ˆ ์ „์ฒด FDI ์ ๋ฆผํ˜„์ƒ 22 ์ œ 2 ์ ˆ ์‚ฐ์—…๋ณ„ FDI ์ ๋ฆผํ˜„์ƒ 23 1. ๋™์ข…์‚ฐ์—…๊ฐ„ ์ ๋ฆผํ˜„์ƒ ๋ถ„์„ ๊ฒฐ๊ณผ 23 2. ์ด์ข…์‚ฐ์—…๊ฐ„ ์ ๋ฆผํ˜„์ƒ ๋ถ„์„ ๊ฒฐ๊ณผ 26 ์ œ 3 ์ ˆ ํˆฌ์ž๋ชฉ์ ๋ณ„ FDI ์ ๋ฆผํ˜„์ƒ 28 1. ๋™์ผ๋ชฉ์ ๊ฐ„ ์ ๋ฆผํ˜„์ƒ ๋ถ„์„ ๊ฒฐ๊ณผ 28 2. ๋‹ค๋ฅธ๋ชฉ์ ๊ฐ„ ์ ๋ฆผํ˜„์ƒ ๋ถ„์„ ๊ฒฐ๊ณผ 31 ์ œ 4 ์ ˆ ์†Œ๊ฒฐ 33 ์ œ 5 ์žฅ ๊ฒฐ๋ก  35 ์ฐธ๊ณ ๋ฌธํ—Œ 40 Abstract 51์„

    ์ง์ ‘์ง€๋ถˆ์ œ๊ฐ€ ๊ฐ€๊ณ„์†Œ๋“๋ถ„๋ฐฐ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๋†๊ฒฝ์ œ์‚ฌํšŒํ•™๋ถ€,2003.Maste
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