U.S. Exports of Advanced Technology Products (ATP) to China

2009 ◽  
Author(s):  
Alexander B. Hammer ◽  
Robert B. Koopman ◽  
Andrew Martinez
Keyword(s):  
Advanced Technology ◽  
Technology Products

scholarly journals Market Mechanisms of the Strategy of Innovative Development of the Russian Aviation Industry: Problems and Indicators of the Economy of Intellectual Property

2021 ◽  
Vol 1 ◽  
pp. 19-25
Author(s):  
V.Kh. Zinnurov ◽  
Keyword(s):  
Intellectual Property ◽  
Institutional Environment ◽  
Advanced Technology ◽  
Innovation Activity ◽  
Aviation Industry ◽  
Innovative Development ◽  
Property Market ◽  
Global Trends ◽  
Technology Products ◽  
The Status

Relevance. The article is based on the report of the author at the specialized session “Intellectual Property and competitiveness of enterprises in attracting investment and production diversification: key performance indicators (industry and corporate level)” within the framework of the XII International Forum “Innovative Development through the Intellectual Property Market”, which was held in Moscow on 30.10.2020. Despite approved strategy documents in place for development of Russian aviation industry and governmental programs being implemented, the Russian intellectual property market formation has not been considered among top tier priorities. Methodology: the study analyzes the global aviation industry trends and the outcomes of governmental programs on development of Russian aviation industry. Results. Based on the analysis of the global trends in innovation activity of aerospace industry leaders and the status of development initiatives in the Russian aviation industry and specifically the United Aircraft Corporation, conclusions are made with regard to the quality of institutional environment for support of innovations, with a rationale for facilitation of efforts by industry enterprises in their identifying, protecting and commercializing the intellectual property. Discussion. The study addresses a major issue of how, in the situation of a dominant share of public investments in the aviation industry, to facilitate and promote a proper level of activity in commercialization of intellectual property results by state-owned/sponsored enterprises, and ensure a sustainable level of support for private sector enterprises in the creation of advanced technology products.

Will Technological Progress Cure the "Advanced Technology Products" Trade Account Deficit?

2010 ◽  
Vol 10 (4) ◽  
pp. 1850215 ◽  
Author(s):  
Jannett Highfill ◽  
Michael McAsey
Keyword(s):  
United States ◽  
Technological Progress ◽  
Demand Function ◽  
The United States ◽  
Production Costs ◽  
Advanced Technology ◽  
Trade Model ◽  
Technology Products ◽  
Trading Partners ◽  
Trade Account

In the debate about United States subsidies of private sector R&D, it is sometimes argued that the state of our technology is closely related to our current account deficits, particularly in what has been called the “Advanced Technology Products” (ATP) trade account. The corollary is that taking appropriate actions to increase research and development activities will both improve our technology and reduce the size of the ATP trade account deficit. The paper exams this proposition in a two-country two-firm intra-industry trade model, where firms play a two-stage quality-quantity game. The primary result of the paper is that if, as compared to its trading partners, the United States has about the same demand function but higher production costs then increases in R&D are likely to reduce an ATP trade account deficit. If, on the other hand, both costs and the value customers place on the product are high in the United States as compared to its trading partners, then increases in R&D are likely to increase the size of the ATP trade account deficit.

scholarly journals Circular economy in clusters' performance evaluation

Equilibrium ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. 537-559 ◽  
Author(s):  
Kristina Razminiene
Keyword(s):  
Competitive Advantage ◽  
Circular Economy ◽  
Small And Medium Enterprises ◽  
Regional Growth ◽  
Value Added ◽  
Resource Efficiency ◽  
Advanced Technology ◽  
Technology Products ◽  
Performance Development ◽  
Medium Enterprises

Research background: The value of clusters in developing advanced technology products and services as well as promoting regional growth is acknowledged by many policymakers and researchers (Lee et al., 2012). Hence, clusters are identified as enablers of the circular economy and resource efficiency in this study. Companies aim to enhance competencies and create competitive advantages in global competition and this can be achieved through pulling from a common and accessible pool of resources, information and demand for innovation which means that companies can profit from belonging to a cluster. Purpose of the article: The main aim of the article is to overview the scientific literature that addresses the circular economy, identify clusters and their role in the circular economy and suggest how small and medium enterprises could engage in a circular economy through clusters' performance development. Methods: Bibliometric literature analysis enables identifying the latest trends in scientific articles regarding a circular economy and clusters. The analytical hierarchy process (AHP) allows for composing the scheme of the cluster’s competitive advantage within circular economy. Findings & Value added: The findings suggest that resource efficiency is considered to be one of the most important ambitions and clusters can work as enablers of a circular economy for small and medium enterprises (SMEs), gaining a competitive advantage at the same time. Clusters can encourage and provide conditions in which SMEs would turn to a circular economy. The scheme of Cluster's competitive advantage proposed by the author can help cluster's coordinators, policymakers and all the concerned parties to verify the importance of clusters' involvement in the circular economy.

Special Issue on Promoting Intellectual Sports

1998 ◽  
Vol 10 (1) ◽  
pp. 1-1
Author(s):  
Shigeo Hirose ◽  
Keyword(s):  
Skill Training ◽  
Advanced Technology ◽  
Special Issue ◽  
Birth Process ◽  
Engineering Technology ◽  
Effective Measure ◽  
Technology Products ◽  
Creative Education ◽  
Product Manufacturing ◽  
Human Birth

Are you acquainted with Hackel's hypothesis? Humans evolved over several billion years from simple creatures living in the sea, to quadrupeds, and finally to bipeds. According to the hypothesis of Ernst Heinrich Hackel (1834-1919), the same evolution takes place in eggs in the human birth process; that is, the phylogeny followed by the species reappears in the process of ontogeny. This hypothesis implies a very important suggestion regarding the training of young engineers who will be the support and driving force of the advanced technology society. Humans built a wonderful advanced technology society by accumulating the technologies developed by their predecessors. If this is to continue, what will be the best way of training genuine engineers able to further develop current advanced technologies? Neither top-down desk theory that teaches theories recursively based on experience nor superficial technical skill training designed to enable students to use state-of-the- art technology products can produce really creative engineers. Most important is not such education but the real experience in which students touch an object, designs the object themselves, and complete the object; that is, the process in which students experience for themselves the phylogeny of technology that humans followed in the process of ontogeny as individual engineers. The training of engineers is the most suitable field for applying Hackel's hypothesis. We are living in an age flooded with products that make the most of advanced technology. Most products incorporate advanced technology in the form of a black box, which makes the essence of an object more difficult to understand than in the past. Systematic efforts should be made to introduce a new system in which children experience Hackel's hypothesis without difficulty. One effective measure of achieving this objective is to popularize intellectual sports -- games of making objects that liberate people from the conventional fixed concept of objector product manufacturing synonymous with manufacturing activities, and enables them to unconsciously train their engineering sense by letting them naturally accept manufacturing in the process of their growth. F1 contests and human bird contests are examples of such games, but robot contests are a much better example. This is because human-like robots easily attract people's attention and that the process of constructing robots enables people to learn engineering technology ""naturally."" Based on this view, we have compiled reports on the experiences of instructors who conduct creative education through manufacturing of articles, particularly instructors conducting robot contests. The information provided in this special issue will, we hope, serve as research material for instructors starting engineering education and creative education through manufacturing. We aldo hope this issue will contribute to the spread of intellectual sports.

Modeling and Diagnosis of Motion Error of Multi-Axis Machines Using a Ball Bar Test

1996 ◽  
Vol 118 (3) ◽  
pp. 531-539 ◽  
Author(s):  
Shyr-Long Jeng ◽  
Wei-Hua Chieng ◽  
An-Chen Lee
Keyword(s):  
Degrees Of Freedom ◽  
Advanced Technology ◽  
Polar Coordinates ◽  
Motion Error ◽  
Double Ball Bar ◽  
Technology Products ◽  
Ball Bar ◽  
Contouring Accuracy ◽  
Circular Interpolation

The contouring accuracy of a multi-axis machine has a critical effect on the quality of many advanced technology products. One of the best approaches to assessing the contouring performance of machine tools is through double ball bar measurement. During circular interpolation motion, the machine traverses, with two axes at a time, a circular trajectory, with each axis subject to sinusoidal changes in acceleration, velocity, and position. The motion error is measured by detecting the relative distance between a point on the spindle nose and another point on the machine table and plotting this distance in polar coordinates. The present paper derives mathematical models and diagnosis procedures for first and second-order motion error resulting from the active degrees of freedom of a multi-axis machine. The theoretical results are verified by both computer simulation and double ball bar testing experiments.

scholarly journals The SMEs Innovation in Europe

2021 ◽  
Author(s):  
Alberto Costantiello ◽  
Laureti Lucio ◽  
Leogrande Angelo
Keyword(s):  
Panel Data ◽  
Population Density ◽  
Fixed Effects ◽  
Government Procurement ◽  
Advanced Technology ◽  
High Tech ◽  
Dynamic Panel ◽  
Technology Products ◽  
Firm Investments ◽  
Intellectual Assets

Abstract In this article we investigate the determinants of SMEs Innovation in Europe. We use data from the European Innovation Scoreboard of the European Commission in the period 2000-2019 for 36 countries. Data are analyzed through Panel Data with Fixed Effects, Random Effects, Dynamic Panel at 1 Stage and WLS. Results show that the presence of Innovators is positively associated with “Enterprise births”, “Government Procurement of Advanced Technology Products”, “Firm Investments”, “Intellectual Assets”, “Sales Impacts”, “Share High and Medium High-Tech Manufacturing” and negatively associated to “FDI Net Inflows” and “Population Density”.

scholarly journals A Review of the Impact of the Digital Transformation on the Global and European Economy

2021 ◽  
Vol 24 (3) ◽  
pp. 75-92
Author(s):  
Zofia Wysokińska
Keyword(s):  
Information And Communication Technologies ◽  
Social Innovation ◽  
Developed Countries ◽  
Digital Economy ◽  
Digital Transformation ◽  
Advanced Technology ◽  
Technology Products ◽  
Starting Point ◽  
Primary Basis ◽  
The Impact

The paper aims to present digital transformation as a process that has been taking place in the digital economy and the European Union’s economy in recent years and its impact on changes in the economic and social sphere. As a starting point, this paper considers the importance of advanced technology products in the global production and trade in the global and European economy, including information and communication technologies, which constitute the primary basis for the development of the digital economy. The paper shows that leading technologies can allow sustainable development goals (SDGs) to be achieved faster and more effectively. It is necessary to eliminate the persistent, significant income differences between developing and highly developed countries and disparities in access to the use of innovative solutions (including social innovation).

scholarly journals Human Resources in Europe. Estimation, Clusterization, Machine Learning and Prediction

2021 ◽  
Author(s):  
ANGELO LEOGRANDE ◽  
ALBERTO COSTANTIELLO
Keyword(s):  
Machine Learning ◽  
Human Resources ◽  
Fixed Effects ◽  
Tertiary Education ◽  
Government Procurement ◽  
Machine Learning Algorithms ◽  
Advanced Technology ◽  
High Tech ◽  
Technology Products ◽  
Using Data

Abstract We estimate the relationships between innovation and human resources in Europe using the European Innovation Scoreboard of the European Commission for 36 countries for the period 2010-2019. We perform Panel Data with Fixed Effects, Random Effects, Pooled OLS, Dynamic Panel and WLS. We found that Human resources is positively associated to “Basic-school entrepreneurial education and training”, “Employment MHT manufacturing KIS services”, “Employment share Manufacturing (SD)”, “Lifelong learning”, “New doctorate graduates”, “R&D expenditure business sector”, “R&D expenditure public sector”, “Tertiary education”. Our results also show that “Human Resources” is negatively associated to “Government procurement of advanced technology products”, “Medium and high-tech product exports”, “SMEs innovating in-house”, “Venture capital”. In adjunct we perform a clusterization with k-Means algorithm and we find the presence of three clusters. Clusterization shows the presence of Central and Northern European countries that has higher levels of Human Resources, while Southern and Eastern Europe has very low degree of Human Resources. Finally, we use seven machine learning algorithms to predict the value of Human Resources in Europe Countries using data in the period 2014-2021 and we show that the linear regression algorithm performs at the highest level.

Sign in / Sign up

Export Citation Format

Share Document