Competitiveness Of High-tech Industries Research Articles

중국과 미국의 첨단산업 국제경쟁력 분석에 관한 연구

Purpose - With the acceleration of scientific and technological progress and globalization, the competition in high-tech industry has become increasingly fierce, and China and the United States, as the world's two largest economies, have attracted much attention in the field of high-tech industry. This study analyzes the international competitiveness of high-tech industries targeting China and the United States. Design/Methodology/Approach - MS (Market Share) index, RSCA (Revealed Symmetric Comparative Advantage) index, and TSI (Trade Specialization Index) were calculated for nine high-tech industries in China and the United States. The analysis period was 2010, 2015, and 2020, and the analysis data used data from UN Comtrade and WDI industry statistics. Findings - The analysis shows that China has an advantage over the United States in the computer office machinery, telecommunications, electrical machinery, and chemical industries, while the United States has an advantage in the pharmaceutical, scientific instruments, non-electrical machinery, and military industries. In the aerospace industry, both the United States and China are inferior, but the United States appears to have an advantage over China. Research Implications - The competitive relationship between China and the United States in the field of high-tech industries not only affects the economies of the two countries, it also profoundly influences the world industrial structure and innovation. Therefore, an in-depth study of the international competitiveness of China and the United States in the field of high-tech industries is of great significance.

Influence of Environmental Regulation on the International Competitiveness of the High-Tech Industry: Evidence from China

Environmental regulation has become a significant way to achieve sustainable development. Taking the panel data of China’s high-tech industries from 2007–2016 in 30 provinces and cities as a sample, regression models are established to study the impact of three different types of environmental regulations on international competitiveness and the moderating effect of R&D (research & development) investment. The results show that the impact of environmental regulations on the international competitiveness of high-tech industries is related to the type of environmental regulation. There is a significant negative correlation between economic environmental regulation (EER) and the international competitiveness of high-tech industries, and R&D investment has a significant inhibitory effect on the relationship between the two. For both commanding environmental regulation (CER) and participatory environmental regulation (PER), R&D investment plays a significant moderating role in environmental regulation and the international competitiveness of high-tech industries. The impact of all three environmental regulations on R&D investment was positive but not significant. Finally, based on these research conclusions, a few countermeasures and suggestions are discussed for the formulation of China’s environmental regulation policies and the development of high-tech industries.

Research on The Evolution of High-tech Industry Competitiveness in Beijing-Tianjin-Hebei

From the perspective of ecological niche, this paper constructs the evaluation index system of the competitiveness of beijing-tianjin-hebei high-tech industry, and analyzes the competitiveness of beijing-tianjin-hebei high-tech industry from the perspectives of niche value, niche width and niche overlap. The results show that :(1) from the perspective of ecological niche, the niche value of the competitiveness of high-tech industries in Beijing, tianjin and hebei does not show an increasing trend with time, and the overall value of the niche is ranked from the largest to the smallest: Beijing, tianjin and hebei.(2) from the niche breadth, beijing-tianjin-hebei high-tech industry competitiveness niche breadth range as follows: 0.26-0.83, Beijing niche width of the widest, hebei niche breadth the narrowest, Beijing and tianjin hi-tech industry competitiveness niche breadth value reduced trend on the whole, hebei niche breadth on overall growth trend.

Evaluation and Influence Factor Analysis on Industrial Competitiveness of Manufacturing Industry of Pearl River Delta

This paper divides the manufacturing industry into four types, analyzes the development of four types of manufacturing industry in the Pearl River Delta(PRD), uses labor productivity as the evaluation index of industrial competitiveness, establishes panel data model to analyze the influencing factors of manufacturing industry competitiveness in the Pearl River Delta, draws research conclusions and puts forward suggestions. The results show that the capital intensive and technology intensive industries in the manufacturing industry of the Pearl River Delta have strong competitiveness, the competitive disadvantage of labor-intensive industries is gradually revealed, and the competitiveness of high-tech industries is gradually enhanced; the per capita equipment rate, average industrial scale, turnover rate of current assets and industrial added value rate all have a positive impact on the competitiveness of the manufacturing industry of the Pearl River Delta.

Analysis of Competitiveness of High-Tech Industry in Nanjing Based on Porter Diamond Model

Nanjing still faces many problems and challenges in terms of improving scientific and technological innovation capabilities and the development of high-tech industries. In this paper, the competitiveness of Nanjing's high-tech industry is measured by selecting competitiveness indicators to determine the strength of its competitiveness. Porter's six-element diamond model is used to analyze the existing problems in Nanjing's high-tech industry and find effective ways to improve its Competitiveness makes Nanjing's high-tech industry move towards sustainable development.

The impact of digital information technology on improving the competitiveness of high-tech enterprises

The article discusses the need to develop information technology in the context of digital transformation in order to increase the competitiveness of high-tech industries. It is determined that in connection with the rapid development of the digital economy, the adaptation of high-tech enterprises to new operating conditions, as well as increasing their competitiveness, is of particular relevance. The need to stimulate investment and entrepreneurial activity in the high-tech industry has been identified. The digital economy implies the automation of business processes within a high-tech enterprise, as well as in relations with contractors and government agencies through the use of modern information technologies. It is proved that the paramount task of the development of the digital economy in Russia is the implementation in the coming years of training the required number of IT specialists capable of providing a qualitative technological breakthrough. A special role in the digital economy is given to high-tech production. The competitiveness of high-tech enterprises is largely due to the use of modern digital technologies in management and production activities. In conditions of high-tech production, factors affecting the competitiveness of enterprises are unstable. A list of external and internal factors affecting the level of competitiveness of high-tech enterprises is established from the standpoint of the greatest degree of influence of information technologies on them. Ignoring the transition to a digital economy can even deprive a successful high-tech company of its competitive advantage. Creation of new and improvement of existing network information technologies in the digital economy and their implementation in domestic high-tech enterprises will increase the competitiveness of enterprises, and as a result, the country's competitiveness.

The Impact of Core Technological Capabilities of High-Tech Industry on Sustainable Competitive Advantage

The market competitiveness and sustainable operation of an enterprise are closely correlated with the support of high-tech core technologies in the enterprise. This study first discusses the basic knowledge of core competitiveness, introduces the components and evaluation methods of core competitiveness, and builds an evaluation index system for core competitiveness of high-tech enterprises. Then, the Analytic Hierarchy Process (AHP) is fully discussed, during which the steps, advantages, and disadvantages of the AHP evaluation method are introduced. Finally, the Fujian Province of China is taken as an example, the relevant data are collected and processed, the impact of indicators are analyzed, and a high-tech industry core technological capability analysis indicator system is built based on the AHP method. Thus, the influence of the core technological capabilities of the high-tech industry on the sustainable competitive advantage of the enterprise is obtained. This study puts forward suggestions for maintaining the competitiveness of high-tech industries, thereby improving the competitive advantage of enterprises and achieving the sustainable management of enterprises. The result finds that if the high-tech industries continue to carry out innovation and scientific research, enterprises will maintain their competitive advantages. In summary, exploring the impact of the core technological capabilities of high-tech industries on the sustainable competitive advantages of enterprises is greatly significant for improving their competitiveness and industrial status, which enables them to be invincible in a complex environment.

The Effect of Intellectual Property Rights Protection on the International Competitiveness of the Pharmaceutical Manufacturing Industry in China

Research on the relationship between intellectual property rights (IPR) protection and economic growth and innovation has been often explored. However, there is an absence of research dealing with the the relationship between IPR protection and the international competitiveness of high-tech industry, especially pharmaceutical manufacturing industry. This study aims to examine the impact of the strength of IPR protection on the international competitiveness of China’s pharmaceutical manufacturing industry, by using time series data from 1995 to 2014. Modified Ginarte-Park (GP) index is used to measure the strength of IPR protection and revealed comparative advantage (RCA) index is utilized to measure the international competitiveness of China's pharmaceutical manufacturing industry. Multivariate time series model and OLS estimation are employed to examine the relationship between IPR protection and RCA index. The result shows that strict IPR protection does not enhance the international competitiveness of China’s pharmaceutical manufacturing industry. The finding suggests that it is more appropriate to adopt a more relaxed IPR protection system for pharmaceutical manufacturing industry in China. DOI: http://dx.doi.org/10.5755/j01.ee.29.1.16878

A Study on Strengthening International Competitiveness of Korean High-tech Industries for Protectionism

This study analyzed the international competitiveness of Korean high-tech industries in the U.S., Japan, and China, all of which are Korea’s major trading partners by using UN comtrade database. In terms of trade volume from 2001 to 2016, China s trade volume increased the 18 times, and Korea’s exports and imports increased by five to seven times during the period. In the case of the U.S. and Japan, the increase in exports was very little, but the increase in imports was significant. As a result of examining the trade specialization index by item, it was found that there were many import-specialized sectors in Korea in general. Specifically, import specialization in the biotechnology industry was very high. In the U.S., nuclear technology and electronic products are found to be export-specialized sectors, while in Japan, export specialization of automatic production and electronic products are high. On the other hand, China is highly specialized in exporting weapons, information and communication technology products. While the U.S. and Japan are losing their overall competitiveness, Korea’s technological competitiveness is increasing while China’s price competitiveness is increasing. In order to establish and implement effective policies to enhance the competitiveness of high-tech industries, government-led R&D policies should be encouraged to involve private companies, major universities, and government agencies.

Efficiency of technological innovation in China’s high tech industry based on DEA method

The level of technological innovation efficiency of high-tech industry affects the industrial structure and industrial competitiveness of high-tech industry. Based on the characteristics of high-tech industry, this paper constructs the evaluation index system of technological innovation efficiency of high-tech industry from two aspects: input and output, and selects the high-tech industry data from 2008 to 2014 as the sample, and using the data envelopment analysis (DEA) of 28 provincial regions in China analysis and evaluation of the efficiency of high tech industry. The results show that the efficiency of technological innovation in China’s high-tech industry is low, but it is rising year by year, and the low utilization rate of innovation resources is the main reason for the low efficiency. On this basis, puts forward some suggestions to improve the efficiency.

Model for evaluating the high-tech industry competitiveness of science and technology parks with fuzzy number intuitionistic fuzzy information

Model for evaluating the high-tech industry competitiveness of science and technology parks with fuzzy number intuitionistic fuzzy information

Research on the competitiveness of high-tech industries in northeast China

Based on characteristics of high-tech industry in Northeast China, high-tech industry competitiveness index system was developed, and the competitiveness of high-tech industry was evaluated through principal component analysis and location quotient method. The results showed that the scale of high-tech industry in Northeast China as a whole was small, and presented a decreasing trend for the proportion in the country. The competitiveness of high-tech industry in Northeast China lagged far behind that of the eastern and central regions. The high-tech industry competitiveness of Liaoning, Jilin and Heilongjiang provinces in China ranked 15, 19 and 21, respectively. The manufacture of medicine in Jilin province, and the manufacture of aircraft and spacecraft and the related equipment in Liaoning and Heilongjiang provinces had high competitive advantage, but the manufacture of electronic equipment and communication equipment and the manufacture of computers and office equipment was lack of competitiveness. The development suggestions were put forward to improve the competitiveness of high-tech industries in Northeast China.

Localización regional del sector eléctrico-electrónico de México

The purpose of this study is to measure the degree of regional location of the electric-electronic sector of Mexico. Location coefficient was calculated using variables total employed persons and the total gross output; It was complemented by a shift-share analysis; both methods based on official information from economic censuses of 2004 and 2009. The methods used is descriptive techniques and the results generated depend on the selected period of time, they suggested that the electric-electronic sector is highly localized in the northeastern regions and northwestern Mexico, more specifically, in the states of Baja California, Chihuahua and Tamaulipas. However, the state of Baja California Sur has a zero activity in the electric-electronic sector. These findings provide support for the development of targeted policies to actions that promote the competitiveness of high-tech industry of Mexico. A future line of research is to expand the scope of the study to identify the most significant conditions for the electric-electronic sector of Mexico location.

Estimation of influence applied of innovative technologies on the competitiveness of high-tech industries

The article discusses a procedure of expert evaluation via pairwise comparisons as an approach to assess the impact of innovative technologies implementation on the competitiveness of aerospace industry products, This method consists of a pairwise comparison of innovative technologies according to the degree of their impact on the competitiveness of high-tech enterprises. As a result these innovative technologies are awarded with grades combined in a matrix. The matrix accumulated priorities vectors is evaluated by experts and results in group priorities matrix. An important step in the processing of the answers of expert estimates is the check of experts’ opinions coordination. The pairwise comparisons method makes it possible to control the subjectivity of experts’ judgments and to determine the coordination of their responses. In most cases, assessment of the coordination of the responses can be evaluated using the coefficient of coordination, the calculation formula being presented in the article. The article presents an example of pairwise comparison and obtaining the priorities vector. The author’s approach of the assessment of the impact of innovative technologies implementation on the competitiveness of high-tech industries can be used to form simulation platforms to support the management decisions when planning the innovative development of high-tech industries in Russia.

中国沿海省份高新技术产业竞争力评价研究

根据构建的包含3个一级指标、10个二级指标、33个三级指标的评价体系，基于熵值法对中国沿海11省的高新技术产业竞争力进行评价研究，结果表明：广东、江苏两省份在高新技术产业竞争力方面处于领先地位，山东、上海、浙江、福建、天津五省市则处于中游水平，广西、海南、河北，辽宁四省的科技竞争力则普遍较弱。进一步分析发现，广东、江苏这两省在四个一级指标上几乎都处于绝对竞争优势；山东、上海、浙江、福建等五省市仅在个别一级指标上具有绝对优势；广西、海南、河北，辽宁四省则在一级指标和二级指标上普遍具有绝对劣势，但在个别三级指标上有明显优势。因此，广东、江苏应继续保持优势，发挥对其他省市的引领和示范效应，山东、上海等五省市需要进一步优化各一级指标，在整体上都具有较大的提升空间，而广西、海南等四省则应充分发挥自身优势，选择局部突破来提升高新技术产业竞争力。According to construct evaluation index system which contains three first grade indices, ten second grade indices and thirty-three third grade indices, based on entropy method to China’s eleven provinces to evaluate the competitiveness of high-tech industry research, the results showed that: Guangdong and Jiangsu, are in a leading position in the high-tech industry competitiveness; five provinces—Shandong, Shanghai, Zhejiang, Tianjin and Fujian are in the middle technological level of competitiveness; Hainan, Guangxi, Hebei and Liaoning are generally weak. Further analysis re-vealed that Guangdong and Jiangsu provinces almost have an absolute competitive advantage in the four first grade level indicators; Zhejiang, Shandong, Shanghai, Tianjin and Fujian provinces have an absolute advantage only on the individual first level indicators; Hainan, Guangxi, Hebei and Liaoning generally have an absolute disadvantage in the four first and second grade level indicators, but in the individual third grade indicators have obvious advantages. Therefore, Guangdong and Jiangsu should continue to maintain their competitive edge, to play the demonstration effect of leading other provinces; Shandong, Shanghai, Zhejiang, Fujian and Tianjin need to be further opti-mized their first level indicators—on the whole these provinces have a larger increase space; Hai-nan, Guangxi, Hebei and Liaoning should give full play to their strengths, select partial break-through technology to enhance competitiveness.

Evaluation of the provincial competitiveness of the Chinese high-tech industry using an improved TOPSIS method

Evaluation of the competitiveness of high-tech industry is a technical decision-making issue involving multiple criteria. It is also a practical path to promote a country’s competitiveness. However, the competitiveness indicators in high-tech industry often act and react upon one another. Moreover, different dimensions and indicator weights also affect the evaluation results. In this paper, the Mahalanobis distance is used to improve the traditional technique for order preference by similarity to ideal solution (TOPSIS). The improved TOPSIS method has the following properties: (1) an improved relative closeness which is invariant after non-singular linear transformation, and (2) the weighted Mahalanobis distance is the same as the weighted Euclidean distance when the indicators are uncorrelated. The new method is applied to evaluate the competitiveness of the Chinese high-tech industry using data from 2011. Consideration of the correlation between indicators improves the evaluation results (in terms of sorting and closeness) to a certain extent compared to the traditional TOPSIS method. The top five provinces are: Guangdong, Jiangsu, Shanghai, Beijing, and Shandong. This finding reflects the practical linkage among provinces and softens the closeness value, consistent with reality.

An Evaluation and Analysis on High-Tech Industry Competitiveness in Fujian

By establishing the high-tech industry competitiveness evaluation index system, we apply the factor analysis and cluster analysis methods to evaluation and analysis on high-tech industry competitiveness in East China of six provinces and one city. The result shows that the comprehensive score of Fujian stands at the lower level in the whole country, but the efficiency ability, innovation and effect ability factors rank up the average level. So we suggest that Government should adjust the industrial and regional structure, develop the high-tech industry branding and standardized and so on to promote the development of the high-tech industry and then improve its competitiveness in Fujian.