• Distribution Business Review
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• no.2
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• pp.35-48
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• 2002

섬유·의류산업은 제조업 대비 업체수가 18.2%, 고용이 15.2%에 이르는 국민경제에서 매우 중요한 역할을 담당하고 있는 산업이다. 또한, 전체수출액대비 10.7%를 차지하며 지난 30여년간 수출전략산업으로 성장, 발전하여 왔다. 그러나 섬유·의류산업은 오늘날의 급격히 변화하고 있는 국내외 기업환경의 변화로 극심한 내수부진과 고질적인 재고부담에 따른 자금난 등으로 허덕이고 있다. 이렇듯 급속히 변모한 기업경영 환경속에서 섬유·의류산업은 생존을 위한 현실적 방도를 모색하지 않으면 안되게 되었다.(중략)

• 기계와재료
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• v.22 no.2
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• pp.92-105
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• 2010

국내 설비투자 증가율은 90년도 이후 GDP 증가율 하락과 함께 감소하였으며 GDP대비 제조업분야의 설비투자비율 역시 감소하는 등 투자가 활기를 띄지 못하고 있으며 국가의 미래 성장잠재력 강화의 걸림돌로 작용하고 있다. 본 연구는 시뮬레이션을 이용하여 설비투자로 인한 정량적 기대효과 분석을 수행하고 설비 투자 촉진 정책의 당위성과 파급효과를 살펴봄으로써 정책적 시사점을 도출하고자 하였다. 분석 결과 설비투자가 성장, 고용, 세수에서 주목할만한 긍정적인 효과를 주고 있음을 알 수 있다.

• Journal of Technology Innovation
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• v.21 no.3
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• pp.73-94
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• 2013

The prinary cause of the decreasing SME's competitiveness in technology is the intensifying human resource shortages. The government supports a part of labor costs for SMEs as a means of policy. There are two ways of supporting labor costs for R&D personnel. One is to hire R&D personnel first then support their partial labor costs. The other is to support labor costs first for R&D personnel in national R&D programs then hire R&D personnel. This study analyzes the effectiveness of two different ways by classifying sales, no. of employees, R&D expenditure, no. of researchers, and no. of MA/Ph.D. researchers. In terms of employing researchers with MA or Ph.D., the effectiveness on employment subsidy is significantly higher than that of R&D subsidy. Its effect has been relatively high in non-metropolitan areas and manufacturing industry.

• Journal of the Economic Geographical Society of Korea
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• v.8 no.2
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• pp.267-284
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• 2005

This study analyzes the effects of localities' competitiveness which can contribute to employment growth in industries, on economic development in the local jurisdictions. For this analysis, such competitiveness is measured by competitive shares calculated from the application of a shift-share method to the employment growth in industries each locality witnessed over the 1990s. And we use annual population growth rate and average annual per capita income (substituted by per capita head tax derived from income tax) of the early 2000s as variables of local economic development. The analysis targets 167 local jurisdictions in Korea for the employment growth in industries, and is mainly placed in a spatial econometric setting. The results of analysis are as follows : The competitive share of manufacturing has the effect of increasing annual population growth rate whereas that of construction has a negative effect on the population growth rate. As well, the competitive shares of manufacturing and of construction negatively influence average annual per capita income while that of community, social and personal services positively affects the income.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.360-375
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• 2019

This paper tries to study the ecosystem after constructing the network of the continuing transactions associated with distribution industry with the data of more than 50 thousands firms provided by the Korean enterprise data (KED) for 2015. After applying the clustering method, one of social network analysis tools, we find the firms in the network grouped into 732 clusters occupying about 80% of whole distribution industry sales in KED data. The firms in a cluster have most of their transactions with other firms in the cluster. But the clusters have smaller firm numbers in the cluster and sales portion of the biggest firms in the industry than the case of the manufacturing industry. The Input-output analysis for the biggest distribution firms show that the small and medium size enterprise(SME)s have very high sale dependency on a main firm in some clusters. This fact implies more efficient fair transaction policies within the clusters. And small number of big distribution firms have very high rear production linkage effects on SMEs or on the 10th or 31th group with high portion of SME employment. They should be considered important in the SME growth and employment policies.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.479-487
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• 2018

Recently, with the advent of the 4th Industrial Revolution, the diversified industrial base and stable employment market have led to increased concern on the metropolis centered manufacturing. However, To enhance the added value and competitiveness of the manufacturing industry in Seoul, it is necessary to develop specialized smart-based technology and production, and to establish a collaborative system among various businesses in the areas of planning, production, and logistics. Accordingly, I planned a service that is necessary for activation of the urban manufacturing industry in Dongdaemun area of Seoul to enable designers to construct an infrastructure for direct production. The proposed content is a hands-on application that provides information to producers who want to make their own unique products with which they can buy materials from Dongdaemun, Cheonggyecheon, and Uljiro areas.

• Journal of Labour Economics
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• v.29 no.2
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• pp.67-116
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• 2006

This study directly analyzes the wage distributions rather than indirectly looking at a few of their moments. It also investigates wage distributions using various descriptive and semi-parametric methods. The wage distributions of Korean manufacturing industries can in general be represented by three distinct forms, underdeveloped, advanced and the medium of the two. The discrepancies in these distribution forms are explained by differences in the labor-type distributions and their weights in the composition of wage distribution forms, and further clarified through various descriptive statistics based on them. However, the descriptive statistical analysis has a limit in that it shows mixed outcomes of different categoric variables. Then, this problem is resolved by applying a semi-parametric estimation of hazard function and the marginal effect evaluations of variable changes on estimated distributions not on the function. As a result of this marginal analysis, the common features and differences of categoric variables and their intensities of effects on distributions are revealed.

• KDI Journal of Economic Policy
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• v.9 no.1
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• pp.43-67
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• 1987

산업구조(産業構造)의 고도화과정(高度化過程)에서는 고용흡수력(雇傭吸收力)이 감소(減少)하는 양적측면(量的側面)의 과제(課題)와 기술인력(技術人力)의 수요(需要)가 상대적으로 증가(增加)하는 질적측면(質的側面)의 인력정책과제(人力政策課題)가 동시에 야기(惹起)된다. 본(本) 논문(論文)에서는 이러한 여건변화(與件變化)에 대응(對應)하는 정책과제(政策課題)를 도출(導出)하기 위하여 인력수요(人力需要)의 결정요인(決定要因)을 실증분석(實證分析)하였다. 거시분석(巨視分析)에서는 1970~84년(年) 기간(期間)의 연간(年間) 시계열자료(時系列資料)를 이용(利用)하여 노동수요함수(勞動需要函數)를 추정(推定)하여 산업별(産業別) 결정요인(決定要因)을 비교분석(比較分析)하였으며, 미시분석(微視分析)에서는 섬유(纖維) 자동차(自動車) 전자산업(電子産業)에서 임의추출(任意抽出)한 200개(個) 표본기업(標本企業)에 대한 횡단면자료(橫斷面資料)를 이용(利用)하여 기업(企業)의 인력수요행태(人力需要行態)를 분석(分析)하였다. 산업별(産業別) 노동수요(勞動需要) 분석결과(分析結果)를 보면, 자본비용(資本費用)에 대한 노동비용(勞動費用)의 상대적상승(相對的上昇)이 노동수요(勞動需要)를 감소(減少)시켜 왔으나, 고용(雇傭)은 기본적으로 자본투자(資本投資)로부터 더 큰 영향을 받는 것으로 나타났으며, 또한 자본(資本)의 고용창출효과가(雇傭創出效果), 특히 제조업부문(製造業部門)에서, 시간(時間)의 경과(經過)에 따라 감소(減少)하는 것으로 분석(分析)되었다. 미시분석결과(微視分析結果)를 보면, 전문대졸(專門大卒) 및 고졸학력(高卒學力) 근로자(勤勞者)에 대한 수요(需要)는 중소기업(中小企業)에서, 대졸(大卒) 및 중졸이하학력(中卒以下學歷) 근로자(勤勞者)는 대기업(大企業)에서 흡수(吸收)하려는 것으로 나타났으며, 생산요소중(生産要素中) 노동(勞動)에 대한 투자우선순위(投資優先順位)는 자동차산업(自動車産業)에서 높게 나타났으며, 숙련기능인격(熟練技能人格)에 대한 수요(需要)는 세 산업(産業) 모두 높게 나타났다.

• Journal of Service Research and Studies
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• v.6 no.3
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• pp.15-27
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• 2016

The current research suggests a new industry and employment structure accelerated by the 4th industrial revolution. An in-depth analysis on relevant researches and a macro analysis on industry and employment structure change have been performed. Past and present industrial revolutions have been reviewed based on the nature of employment and industry structure. With technological advances and increase in productivity, the services industry has developed during the 1st and 2nd industrial revolutions. Moreover, in the 4th industrial revolution era, more changes are expected within the services industry. A new U-model has been derived and a service economy acceleration model has been suggested. This research can be used for deriving desirable industry and economic policy. Future research is needed to develop a detailed solution for human resource management strategy for service economy in the 4th industrial revolution era.

• Journal of Service Research and Studies
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• v.7 no.3
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• pp.57-70
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• 2017

It is anticipated that the employment structure of the whole industry will change drastically as the Fourth Industrial Revolution era arrives. Particularly, there are numerous reseraches that the development of artifical intelligence will promote automation causing jobs in manufacturing industry to decrease; thus, the economy will be reorganized with service-centered jobs, which heavily depend on human ability. This study was conducted to verify the trend-forecasting model based on the theoretical analysis. We analyzed the change in employment structure over the past decades in each country and period to gain insights from the changes in the employment structure caused by the Fourth Industrial Revoltion. The results of this study are as follows: First, we investigaed whether the current economy is moving along the U-shaped model suggested by an existing researcher. As a result of the analysis, the data substantiated that the change of the employment structure is moving along the U-shaped model. It is also suggested that this U-shaped trend is expected to accelerate in the era of the Fourth Industrial Revolution. In the future, more accurate data analyses are needed to verify the model, and additional researches on the change in the employment structed is also needed.