• Title/Summary/Keyword: R&D Investments

검색결과 172건 처리시간 0.64초

An Assessment of ICT Infrastructure, Deployment and Applications in the Science and Technology (S&T) Research Institutions in Ghana

  • Kwafoa, Paulina Nana Yaa;Entsua-Mensah, Clement
    • International Journal of Knowledge Content Development & Technology
    • /
    • 제11권1호
    • /
    • pp.29-48
    • /
    • 2021
  • The paper discusses the ICT infrastructure as far as the availability of (computers, local or wide area networks, Internet connectivity and its reliability, size of the bandwidth and its optimization, etc.) in the S&T research institution. It also examined the profile of the research scientists and looked at the type of ICT infrastructure that is available for their use as well as the reliability of the Internet connectivity within these research institutions. It looked at the broadband capacities of the research institutions and the ICT capabilities in respect of the technical and managerial support back-up that are available to the research institutions. The study used the survey research method with a questionnaire as well as personal observation to gather the data. From the data gathered, it was realized that the internet connectivity and the size of the bandwidth that the R&D institutions subscribed to differed significantly. Again, the extent to which the research scientists were able to access the internet in their respective institutions depended on the quality of the local network in place. Generally, the investments in ICT were made for different management objectives, and these were meant to facilitate the generation of new knowledge as well as make measurable improvements in R&D activities.

A Study on the Implications of Korea Through the Policy Analysis of AI Start-up Companies in Major Countries (주요국 AI 창업기업 정책 분석을 통한 국내 시사점 연구)

  • Kim, Dong Jin;Lee, Seong Yeob
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
    • /
    • 제19권2호
    • /
    • pp.215-235
    • /
    • 2024
  • As artificial intelligence (AI) technology is recognized as a key technology that will determine future national competitiveness, competition for AI technology and industry promotion policies in major countries is intensifying. This study aims to present implications for domestic policy making by analyzing the policies of major countries on the start-up of AI companies, which are the basis of the AI industry ecosystem. The top four countries and the EU for the number of new investment attraction companies in the 2023 AI Index announced by the HAI Research Institute at Stanford University in the United States were selected, The United States enacted the National AI Initiative Act (NAIIA) in 2021. Through this law, The US Government is promoting continued leadership in the United States in AI R&D, developing reliable AI systems in the public and private sectors, building an AI system ecosystem across society, and strengthening DB management and access to AI policies conducted by all federal agencies. In the 14th Five-Year (2021-2025) Plan and 2035 Long-term Goals held in 2021, China has specified AI as the first of the seven strategic high-tech technologies, and is developing policies aimed at becoming the No. 1 AI global powerhouse by 2030. The UK is investing in innovative R&D companies through the 'Future Fund Breakthrough' in 2021, and is expanding related investments by preparing national strategies to leap forward as AI leaders, such as the implementation plan of the national AI strategy in 2022. Israel is supporting technology investment in start-up companies centered on the Innovation Agency, and the Innovation Agency is leading mid- to long-term investments of 2 to 15 years and regulatory reforms for new technologies. The EU is strengthening its digital innovation hub network and creating the InvestEU (European Strategic Investment Fund) and AI investment fund to support the use of AI by SMEs. This study aims to contribute to analyzing the policies of major foreign countries in making AI company start-up policies and providing a basis for Korea's strategy search. The limitations of the study are the limitations of the countries to be analyzed and the failure to attempt comparative analysis of the policy environments of the countries under the same conditions.

  • PDF

Analysis of the abroad and domestic research trends on climate change and its economical effect on the power plant (기후변화협약 시행에 따른 대응 방안 및 발전분야 영향 분석)

  • Woo, Kwangje;Hwang, Jae Dong;Jeong, Seok Yong;Jang, Gil Hong
    • Clean Technology
    • /
    • 제7권1호
    • /
    • pp.43-49
    • /
    • 2001
  • To meet $CO_2$ emission regulation, this study describes the present state of $CO_2$ reduction technology and the effect of the regulation on power industry. In Japan, R&D investment is actively continuing through a long-term R&D project, along with trying to meet the reduction demand by the ways of energy saving and abroad business. EU has made a lot of investments in increasing the efficiency of power generation and developing alternative energy sources. The US is making provision of the portion of reduction by using energy saving program and emission trading, and the current DOE-driven program is addressing the development of cost-effective power systems. In the country, the research to reduce $CO_2$ emission has been mainly driven by the government and research institute supported by the government. Meanwhile, if the reduction obligation imposed on Portugal which is the least strict condition will be enforced in Korea, it is likely that about 50 running power plants should be stopped or shut down after 2015, in spite of voluntary reduction efforts such as conversion to clean fuels, etc. according to the government's long-term electric power need and supply plan.

  • PDF

An analysis of determinants for artificial intelligence industry competitiveness (인공지능 산업의 국가 경쟁력 결정요인 분석)

  • Hong, Jae-Pyo;Kim, Eun-Jung;Park, Ho-Young
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • 제21권4호
    • /
    • pp.663-671
    • /
    • 2017
  • This study analyzed the determinants influencing competitiveness of artificial intelligence industry of Korea. Analysis showed that the factors having the greatest influence on the national competitiveness of the artificial intelligence industry were, in decreasing order of importance, R&D, capital, and ICT competitiveness. Given the capital-intensive characteristic of the artificial intelligence technology, it is important to enhance the national R&D capacity in artificial intelligence technology and ICT, and to make substantial investments in the establishment of related infrastructure. Considering that the development and utilization of ICT infrastructure serves as the basis for artificial intelligence technology, the high standards of Korean consumers are expected to have a positive catalytic effect on the acquisition of national competitiveness for the artificial intelligence industry. For companies to respond in a timely manner to the rapid dissemination and high impact of artificial intelligence technology, they must prepare for such advancements by improving their competencies.

A Survey for Conversion into Knowledge Based Industry of Construction Industry (건설산업의 지식정보화 기반을 위한 기초적 고찰)

  • Lee Tai Sik;Lee Dong Wook;Bae Keon
    • Proceedings of the Korean Institute Of Construction Engineering and Management
    • /
    • 한국건설관리학회 2001년도 학술대회지
    • /
    • pp.462-467
    • /
    • 2001
  • There are growing interests for knowledge-based information to build up competitiveness both in public and in private. Construction industry compared to other industries, shows strong knowledge usages in products and process. R&D investment over the construction industry has been decreased since economic crisis (IMF), so technology status of domestic construction industry has gap of 4.6 years with developed countries. Information infra also lowers in use of information and investment than other industries. In case of knowledge management, usage of information technology and vision establishment show high status but knowledge sharing and evaluation stay in low level. For the administration of knowledge-based information, there are needs of continuous R&D investments, educations for inspiring employees to knowledge share, systems for knowledge estimation and evaluation, and organizational culture.

  • PDF

The Analysis of Subcontracting Trade in the IT Industry located in Gyeonggi-Do (경기지역 IT산업의 하도급거래 분석)

  • Yoon, Choong-Han;Son, Jong Chil
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • 제15권5호
    • /
    • pp.3146-3152
    • /
    • 2014
  • This paper investigates the determinants for the controlling power and the concentration of the subcontracting trade between the downstream producer and the upstream supplier using a survey data for the IT industry in Gyeonggi-Do. The estimation results of the ordered logit and least square analyses are as follows. First, a firm. s controlling power across the downstream producer and the upstream supplier in the subcontracting trade would grow bigger when the company is bigger, more manufacture-oriented, and has higher ratio of export in sales. Second, the analysis for the upstream suppliers indicates that the higher dependent ratio of the subcontracting trade in the sales, the lower the concentration ratio of the R&D in the sales. Lastly, the analysis of the downstream producers indicates that the higher the dependent ratio of the subcontracting trade in the sales, the higher the concentration ratio of the R&D in the sales, which is distinctively contrast with the analysis result of the upstream suppliers. The overall estimation results are, hence, unsupporting to the transaction cost theory which predicts the increase of R&D investments in both downstream producer and upstream supplier.

Rainfed Areas and Animal Agriculture in Asia: The Wanting Agenda for Transforming Productivity Growth and Rural Poverty

  • Devendra, C.
    • Asian-Australasian Journal of Animal Sciences
    • /
    • 제25권1호
    • /
    • pp.122-142
    • /
    • 2012
  • The importance of rainfed areas and animal agriculture on productivity enhancement and food security for economic rural growth in Asia is discussed in the context of opportunities for increasing potential contribution from them. The extent of the rainfed area of about 223 million hectares and the biophysical attributes are described. They have been variously referred to inter alia as fragile, marginal, dry, waste, problem, threatened, range, less favoured, low potential lands, forests and woodlands, including lowlands and uplands. Of these, the terms less favoured areas (LFAs), and low or high potential are quite widely used. The LFAs are characterised by four key features: i) very variable biophysical elements, notably poor soil quality, rainfall, length of growing season and dry periods, ii) extreme poverty and very poor people who continuously face hunger and vulnerability, iii) presence of large populations of ruminant animals (buffaloes, cattle, goats and sheep), and iv) have had minimum development attention and an unfinished wanting agenda. The rainfed humid/sub-humid areas found mainly in South East Asia (99 million ha), and arid/semi-arid tropical systems found in South Asia (116 million ha) are priority agro-ecological zones (AEZs). In India for example, the ecosystem occupies 68% of the total cultivated area and supports 40% of the human and 65% of the livestock populations. The area also produces 4% of food requirements. The biophysical and typical household characteristics, agricultural diversification, patterns of mixed farming and cropping systems are also described. Concerning animals, their role and economic importance, relevance of ownership, nomadic movements, and more importantly their potential value as the entry point for the development of LFAs is discussed. Two examples of demonstrated success concern increasing buffalo production for milk and their expanded use in semi-arid AEZs in India, and the integration of cattle and goats with oil palm in Malaysia. Revitalised development of the LFAs is justified by the demand for agricultural land to meet human needs e.g. housing, recreation and industrialisation; use of arable land to expand crop production to ceiling levels; increasing and very high animal densities; increased urbanisation and pressure on the use of available land; growing environmental concerns of very intensive crop production e.g. acidification and salinisation with rice cultivation; and human health risks due to expanding peri-urban poultry and pig production. The strategies for promoting productivity growth will require concerted R and D on improved use of LFAs, application of systems perspectives for technology delivery, increased investments, a policy framework and improved farmer-researcher-extension linkages. These challenges and their resolution in rainfed areas can forcefully impact on increased productivity, improved livelihoods and human welfare, and environmental sustainability in the future.

Financial Analysis by Conditional Quantile Regression on Corporate Research & Development Intensity for KOSDAQ-listed Firms in the Korean Capital Market (국내 자본시장의 코스닥 상장기업들의 연구개발비 비중에 대한 분위회귀모형을 활용한 재무적 분석)

  • Kim, Hanjoon
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • 제21권5호
    • /
    • pp.179-190
    • /
    • 2020
  • This research analyses the financial characteristics of corporate R&D intensity in the Korean capital market. It is important to pay greater attention to this subject, given the current situation of the shortage of core components domestically in Korea. Three hypotheses are postulated to investigate the financial factors of R&D investments for KOSDAQ-listed firms during the post-era of the global financial turmoil. By applying a conditional quantile regression (CQR) model, three variables included R&D intensity in the previous year (Lag_RD), the squared term of Lag_RD, and interaction between the high-tech sector and Lag_Rd, reveal significant effects on the current R&D ratio. Whereas more than half of the total variables show variable impacts between firms with higher and lower R&D intensity, only Lag_RD and squared term of Lag_RD were found to be significant. It is expected that these results may contribute to being financial catalysts for an optimal level of R&D expenditures, thereby maximizing firm value for shareholders in KOSDAQ-listed firms.

An Empirical Study on the IPO Firms' Financial Performance Achieved by R&D Expenditures Using Statistical Models (IPO Affect Firm's Performance after IPO, between KOSPI) (연구개발비가 기업경영 성과에 미치는 영향에 관한 연구 (IPO이전과 이후 코스피기업의 시계열 분석을 중심으로))

  • Park, Kyung-Joo;Yang, Dong-Woo
    • Journal of Korea Technology Innovation Society
    • /
    • 제9권4호
    • /
    • pp.842-864
    • /
    • 2006
  • This paper deals with an empirical study to statistically analyse various financial performances of the selected IPO firms using their investments on research and development(R&D) as an independent variables. The major results of statistical analyses have come up with the followings: 1) The regression analyses for change in average annual total market stock value/total assets over that of R&D expenditures showed the positive relationship, However, those of sales volume and net assets per share showed negative without statistical significances. 2) The statistical analyses in effect of the 3-year average total market stock value/total assets over the 3-year average R&D expenditures resulted in the positive coefficients what are statistically significant at 95% level. 3) Another statistical analysis showed that the financial performances of the IPO finns with deferred assets were better than those of the firms without them. In sum, the degree of investment on R&D by the IPO firms are expected to positively affect their financial performances except the Finns without having proper original technologies.

  • PDF

An Empirical Analysis of the Effectiveness of Financial Support Policy for Venture Firms in Daejeon Region (대전지역 벤처기업 자금지원 효과 실증 분석)

  • Bai, Yun;Kim, Taegi;Li, Yancheng;Oh, Keunyeob
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
    • /
    • 제19권3호
    • /
    • pp.81-95
    • /
    • 2024
  • This study empirically analyzed the effectiveness of government financial support policies for venture enterprises in the Daejeon region, using raw data obtained from the Small and Medium Venture Business Administration's survey results from 2016 to 2021. Daejeon, considering its economic significance, has a significant proportion of venture enterprises in its economy compared to the national average, with a focus on technological development. Conducting regression analysis yielded several key findings. Firstly, loan and guarantee support is effective for improving sales and market share, while R&D support is effective for technological development. Second, R&D and loan support have the most significant impact on sales in the fourth stage (maturity), while guarantee support is most influential in the third stage. Third, in industry analysis, the coefficients representing the effects of financial support were larger across all performance indicators compared to firm level data analysis. Based on these empirical analysis results, the study proposes several policy implications as follows. First, the government should actively provide funding support to venture companies rather than leaving investments to the capital market. Second, the methods and targets of funding support should vary according to the purpose of the support. Third, it is necessary to establish a platform that connects venture companies with private investors to commercialize developed technologies. Fourth, the funding support of venture capital for technology-intensive venture companies should be expanded.

  • PDF