• Title/Summary/Keyword: 산업별분석

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A sectoral comparison of the influence of the intellectual property rights system on technological innovation and financial performance: Korean pharmaceutical, semiconductor and shipbuilding industries (지식재산권 강화가 기술혁신과 경영성과에 미치는 영향의 산업별 비교연구: 한국의 제약, 반도체, 조선 산업)

  • Cho, Kyung-Chul;Kim, Chang-Seok;Shin, June-Seuk
    • Journal of Technology Innovation
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    • v.21 no.2
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    • pp.169-197
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    • 2013
  • Despite many theoretical and empirical studies, general causality between IPRs system, firm technological innovation and financial performance is not clear. This study notices that the core factor to create financial performance is different by each industry. The study analyzed the effect of IPRs system on innovation and economic growth targeting 3 industries; pharmaceutical industry to which the basic track of creating performance is applied (strengthening IPRs${\rightarrow}$increasing R&D input/output${\rightarrow}$increasing sales); semiconductor industry where the relationship between stronger IPRs and R&D input/output is weak; and shipbuilding industry which has weak correlation between R&D and sales. It used panel data for 15 years since TRIPs when the patent institution in Korea reached up to the level of advanced countries, and applied the dynamic regression model which estimates the fixed effect model with difference-GMM. As a result, stronger IPRs increased R&D input/output, and financial performance in pharmaceutical industry, but has no influence on semiconductor and shipbuilding industries. That is, it is necessary to customize the construction of system and policy for strengthening IPRs by each industry, and unitary strengthening or weakening may have no significant impact on financial performance improvement in specific sectors.

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CGE Analysis of the US-China Trade War and Policy Implications to the World Trade (미-중 무역분쟁의 경제적 효과와 세계경제 함의)

  • Song, Back-Hoon;Lee, Chang-Soo
    • Korea Trade Review
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    • v.43 no.5
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    • pp.47-66
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    • 2018
  • This study analyzes the potential economic effects of a trade war between the U.S. and China. The CGE model is used to estimate the macroeconomic variables of each country and the change in imports/exports by industry by considering three different scenarios: (i) the US imposes a 25% of tariff on China; (ii) the US and China impose a 25% tariff bilaterally; (iii) the United States expands protection in vehicles and metals to Korea, Japan, and the EU. According to the results of the study, when the US and China initiate a trade war, GDP and welfare of both countries decline. China's decline in GDP and welfare are larger than those of the United States, which implies a trade war is more favorable to the U.S. than to China. In the long run, China's GDP and welfare decline widens further. While the trade volumes of the US and China are greatly reduced, the trade volumes of other countries does not significantly fluctuate. Finally, if the US extends protection policy to Korea, Japan and the EU, it creates undesirable effects on the US. In particular, damage to the US jeopardizes its advantageous position in a trade war with China. In order to emphasize the unfairness of protectionist policy and the damage to Korean industry, Korea needs to establish a strategy to counter US protectionist policy.

A Study on Financial Stability Ratios in Small and Medium Size Business (중소기업 재무안정성 비율에 대한 연구)

  • 고재중
    • Journal of the Korea Society of Computer and Information
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    • v.3 no.3
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    • pp.129-137
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    • 1998
  • A position of small and medium size business is increasing in the national economic. On the other hand, there are many difficulties in the small and medium size business. The most difficult problem is the financial supply for the small and medium size business. This study is analzing the financial stability ratios of the small and medium size business in comparision with financial ratios of a large enterprise and industrial average ratio. As the result, the degree of financial stability ratio of small and medium size business is lower than industrial standard ratio. While the degree of financial stability and liquidity ratios of the small and medium size business is higher than industry average ratio. the degree of dependence of borrowing of the small and medium size business is lower. Therefore, it is necessary for nation and administration organization to supply financing for the small and medium size business.

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An Industry-Service Classification Development of Metaverse Platform (메타버스 플랫폼 활용 산업-서비스 분류체계 개발)

  • Yun, Seung-Mo;Leem, Choon-Seong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.253-258
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    • 2021
  • With the 4th Industrial Revolution and the development of technology, markets of the VR&AR have increased. Also due to COVID-19 pandemic, demands for a digital environment were required because of physical space constraints. Firms are trying to solve this problem by using Metaverse platforms. However, with markets such as Metaverse, VR, AR, and Digital Twins are expanding, prior research on Metaverse definition or classification system is insufficient. Based on understanding VR&AR, Digital Twin, this study established a Industry-Service classification for Metaverse by defining Case studies on Metaverse and through prior research. And by Industry-Service classification for Metaverse this paper propose Metaverse Industry-Service Matrix to analyze the trend and possibility of Metaverse Platform

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농업관련기업의 빅데이터 수용의도에 미치는 영향: 농업관련기업 종사자 중심으로

  • Ryu, Ga-Hyeon;Heo, Cheol-Mu
    • 한국벤처창업학회:학술대회논문집
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    • 2021.11a
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    • pp.129-134
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    • 2021
  • 농업은 잦은 자연재해, 코로나 같은 예측하기 힘든 불확실성이 높아지는 상황이며 이를 해결하기 위해 새로운 기술적 접근방안과 돌파구 마련이 필요하다. ICT의 급속한 발전과 4차 산업혁명 시대가 도래하면서 데이터의 중요성은 더욱 커지고 있다. 빅데이터는 농업이 직면한 다양한 기술적 난제를 해결함과 동시에 생산,소비,유통 분야의 밸류체인 혁신을 통해 높은 경쟁력을 확보할 수 있게 핵심 요소가 될 것이다. 실제 농업 분야의 해외 사례를 살펴보면 주로 빅데이터에 대한 수집 분석이 기업을 중심으로 이루어지고 있고 기업의 새로운 가치 창출에 중요한 역할을 담당하고 있어 상업적 측면에서 활용가치가 매우 높음을 알 수 있다. 우리나라도 기업의 빅데이터 활용을 위한 다양한 시도가 이루어지고 있으나 아직은 대기업, 소수의 혁신기술 기반 중소기업이 대부분이다. 기업의 빅데이터 활용에 영향을 미치는 연구는 계속 진행되고 있으나, 산업별 특성이 반영되어 결과는 상이하게 나타났다. 또한 대부분의 연구가 조직 차원에서 초기 도입 의도에 영향을 주는 요인 파악에 집중하였다. 반면 기업이 빅데이터를 활용하여 성과를 창출하기 위해서는 각 분야 현업 종사자들의 지속적인 활용 의도에 영향을 미치는 요인에 관한 연구가 필요하다. 따라서 본 연구는 혁신기술 수용 의도를 파악하는데 높은 설명력을 나타내는 통합기술수용이론(UTAUT)과 혁신성향 변수를 활용하여 농업 관련 기업 종사들의 빅데이터 수용 의도에 미치는 영향 요인들을 살펴보고 경제적 혜택과 실용적 혜택의 매개 효과를 분석하고자 한다. 실제 농업 관련 기업 종사자 대상 설문을 통한 실증 연구를 통해 현장 종사자들의 빅데이터 활용 수준을 높이고 우수의 고급 인력을 확보하여 육성하기 위한 방안을 제시하여 농업관련분야 기업의 빅데이터 활성화 정책 도출에 시사점을 제시하고자 한다.

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Analysis on the Business Model of Korean Home Network Industry by Participating Enterprises (국내 홈네트워크 산업의 참여사업자의 비즈니스 모델 분석)

  • Noh, Mi-Jin;Kim, Ju-Seong
    • The Journal of the Korea Contents Association
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    • v.8 no.9
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    • pp.172-184
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    • 2008
  • The purpose of this study analyzes services and the markets creating the profit of the national home network industry and the promotion strategy will be proposed. First, the technologies and products of the home network industry are analyzed, and the value chain of this industry is grasped. Second, the home network industry is classified into the communication common carrier, the construction carrier, the content/solution carrier, and the electronic business carrier. Third, The business model of the home network industry reconstructed based on the researches of Morris et al.(2005) and Chesbrough and Rosenbloom(2002), and the strategies are analyzed. We performed the industrial analysis as the company environment analysis, factor analysis of the value creation, business strategy analysis and so on.

Analysis of Sectoral Energy Use Pattern with Energy Input-Output Approach (에너지산업연관분석을 이용한 산업별 에너지 사용 pattern 분석)

  • Chung, Whan-Sam;Tohno, Susumu;Shim, Sang-Yul
    • Journal of Energy Engineering
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    • v.17 no.3
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    • pp.145-152
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    • 2008
  • Approaching to the era of high energy price and energy sources scarcity, the demand for governmental intervention to mitigate the short-term shocks is highly increasing. When any energy policy is implemented, double-side effects would be derived. To begin with positive aspect, by decreasing energy import, unnecessary currency outflow can be prevented and the resultant saved money will be appropriately allocated. Furthermore, industrial competitiveness will be assured by reducing use of expensive energy. On the contrary, inappropriate energy saving policy may lead to unexpected negative effects that would hinder improvement in productivity due to indiscreet replacing energy by equipments. In order to enhance effectiveness of energy policy, efforts should be made in advance to understand the energy use pattern of each industry sector which composes the economy. Therefore, in this study, an energy input-output method, one of the macroscopic approaches, is applied to analyze energy use patterns of each industry sector in Korea. Using this method, a quantitative assessment is performed to obtain the energy use intensity and the amount of energy uses with respect to energy types.

The evaluation of aid effectiveness using the input-output analysis: the case of Vietnam (산업연관분석을 활용한 원조의 국가단위 효과 평가 - 한국 유상원조의 베트남 지원효과를 중심으로 -)

  • Park, Bokyeong;An, Jiyoun
    • International Area Studies Review
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    • v.22 no.2
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    • pp.211-218
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    • 2018
  • The evaluation of aid effectiveness at the national level has mostly focused on qualitative evaluation. This paper attempts to quantitatively evaluate EDCF 's support for Vietnam in 1995 ~ 2016 on the economy. First, we compare the strengths and weaknesses of various methodologies that can be used for quantitative assessment: panel analysis based on growth theory, input-output analysis, social account matrix analysis, CGE model, DSGE model, and time series analysis. Using the input-output analysis, we estimate that total output and value added have been generated about $5.9 billion and $1.7 billion in Vietnam, respectively. The increase in income per capita from the support was estimated to have contributed to a 0.21%p reduction in the poverty rate in Vietnam.

Analyzing Topic Trends and the Relationship between Changes in Public Opinion and Stock Price based on Sentiment of Discourse in Different Industry Fields using Comments of Naver News (네이버 뉴스 댓글을 이용한 산업 분야별 담론의 감성에 기반한 주제 트렌드 및 여론의 변화와 주가 흐름의 연관성 분석)

  • Oh, Chanhee;Kim, Kyuli;Zhu, Yongjun
    • Journal of the Korean Society for information Management
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    • v.39 no.1
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    • pp.257-280
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    • 2022
  • In this study, we analyzed comments on news articles of representative companies of the three industries (i.e., semiconductor, secondary battery, and bio industries) that had been listed as national strategic technology projects of South Korea to identify public opinions towards them. In addition, we analyzed the relationship between changes in public opinion and stock price. 'Samsung Electronics' and 'SK Hynix' in the semiconductor industry, 'Samsung SDI' and 'LG Chem' in the secondary battery industry, and 'Samsung Biologics' and 'Celltrion' in the bio-industry were selected as the representative companies and 47,452 comments of news articles about the companies that had been published from January 1, 2020, to December 31, 2020, were collected from Naver News. The comments were grouped into positive, neutral, and negative emotions, and the dynamic topics of comments over time in each group were analyzed to identify the trends of public opinion in each industry. As a result, in the case of the semiconductor industry, investment, COVID-19 related issues, trust in large companies such as Samsung Electronics, and mention of the damage caused by changes in government policy were the topics. In the case of secondary battery industries, references to investment, battery, and corporate issues were the topics. In the case of bio-industries, references to investment, COVID-19 related issues, and corporate issues were the topics. Next, to understand whether the sentiment of the comments is related to the actual stock price, for each company, the changes in the stock price and the sentiment values of the comments were compared and analyzed using visual analytics. As a result, we found a clear relationship between the changes in the sentiment value of public opinion and the stock price through the similar patterns shown in the change graphs. This study analyzed comments on news articles that are highly related to stock price, identified changes in public opinion trends in the COVID-19 era, and provided objective feedback to government agencies' policymaking.

A Decomposition Analysis of Energy Productivity Change in Korean Manufacturing Industries: A Distance Function Approach (제조업 에너지 생산성 분해분석)

  • Kim, Kwang-Uk;Hwang, Seok-Joon
    • Environmental and Resource Economics Review
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    • v.24 no.2
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    • pp.411-433
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    • 2015
  • This paper decomposed energy productivity changes across 14 Korean manufacturing industries into 5 components, technological catch-up(EC), technological progress(TC), and changes in labor-energy ratio(LC), capital-energy ratio(KC) and energy mix(EMC). Then we also figured out the possible relationship between energy productivity change and export growth rate across the industries. It is found that (1) technological progress, changes in capital-energy ratio and energy mix contribute to energy productivity growth in Korea during the sample period, (2) technological progress is the primary driving forces for energy productivity growth, (3) increase in export growth rate had a positive impact on energy productivity growth excepting a part of energy-intensive industries.