Internal Drivers and the Specialization Status of Under-developed Countries: Evidence from China’s High-tech Industry

2014 ◽  
Vol 35 (2) ◽  
pp. 106-121
Author(s):  
Yang Gaoju ◽  
Huang Xianhai
2020 ◽  
Vol 214 ◽  
pp. 02012
Author(s):  
Chunxiang Liu ◽  
Yalan Gao

This paper calculates the technical complexity of high-tech industry export in 38 countries from 1997 to 2017, discusses the mechanism of OFDI on the technical complexity of high-tech industry export in the home country, and empirically tests the impact of OFDI on the technical complexity of high-tech industry export in the home country by using the System GMM method of dynamic panel data model. The results show that OFDI can improve the technical complexity of high-tech industry export in the home country. After further analysis, it is found that OFDI can only significantly improve the technical complexity of high-tech industry exports from developing countries, but to a certain extent inhibit the developed countries. In addition, FDI, R & D investment, human capital, openness to the outside world and self owned technology can promote the export technology complexity of a country’s high-tech industry, while the impact of capital endowment on the export technology complexity of developed and developing countries’ high-tech industry is different.


2019 ◽  
Vol 11 (4) ◽  
pp. 561-582
Author(s):  
Jia-lu Shi ◽  
Wen-hsiang Lai

Purpose Over recent decades, talent agglomeration has emerged as a critical topic for scholars, businesses and government officers. Innovative ability is a core competition for high-tech talents. In China, low innovation is the bottleneck, as the high-tech industry usually cannot provide sufficient support for the continuous needs of innovative talents. To enhance the continuous support of talents, it is important to obtain the mechanisms of talent evaluation and flow in high-tech industry. Exploring the incentive factors influencing the scientific and technological personnel, adjust the layout of talents and promote the rational agglomeration. It’s significant to realize the regional economic development. Design/methodology/approach This study proposes an assessment model using the multi-criteria decision-making method of analytical hierarchy process (AHP) to determine the weights of incentive factors and a nonlinear programing model, from micro, meso and macro perspectives of individual, organizational and social incentives by adopting Maslow’s hierarchy of needs theory, Kurt Lewin’s field theory and Lee’s push-pull theory. After the literature review and interviews with 14 experts, this study produced a research framework and a pairwise comparison questionnaire. In addition, the relative quantitative weights of 3 main categories and 15 indicators are identified and ranked based on the AHP method. Findings The results demonstrate that the most important dimension is the individual, and the top three highest weighted factors are job satisfaction, sense of working accomplishment and interpersonal relationships. The discussion in this study showed that the proposed model is rational and acceptable to motivate high-tech innovation talent (HTIT) agglomeration for high-tech enterprises, universities, government and start-ups. Research limitations/implications The pairwise comparison using the AHP method is limited to expert opinions, which are considered comparatively subjective. The number of incentive factors should be increased, as some indicators may have been omitted from the AHP model. Practical implications According to the results, some suggestions can be recommended to corporate executives, HR managers and government officers to attract and retain high-tech talents and further to improve industrial clusters and economic development. Originality/value This paper derives a relative ranking of importance based on the opinions of experienced HR specialists, high-tech talent, scholars and government official, and assesses the consistency of results. The ordering represents the importance of indicators and sub-indicators of two levels from respondents’ perspectives in an industry cluster background. The study, focusing on the high-tech industry in China (which is a developing country), offers a unique view, as earlier studies mainly collect data from developed countries.


2009 ◽  
Vol 08 (04) ◽  
pp. 353-361
Author(s):  
Congying Wang ◽  
Bei Hu ◽  
Peng Li

In order to consider the future development of high-tech industry clusters, this paper applies an evolution perspective to look into the knowledge integration process from both local and global knowledge linkages of entrepreneurs within the industry cluster. This paper has established a model to explore the entrepreneur's knowledge spillover and diffusion process which promotes the high-technology industry cluster's technology upgrading. Analysis is based on data from questionnaires and interviews with 182 entrepreneurs in the Dongwan software high-tech industry cluster of Guangdong, China. Using the information fusion method the study analyses the distinction of high-tech industry clusters between developing countries and developed countries based on the survey, and found that the knowledge integration process has tremendous influence on industry cluster development, and the co-existence of both high levels of local and global knowledge linkages can greatly affect entrepreneur development and the possibility for the cluster to undertake transformation.


Author(s):  
Maciej Gurbała

High technology industry occured as an effect of industrial structure evolution in the highly developed countries. However, less developed countries aspire to develop this kind of manufacturing starting from the lower level of development. The issue is discussed throuhg selected economic theories in this arcicle. High-tech industry on a global scale can not be developed without state intervention.


2014 ◽  
Vol 666 ◽  
pp. 359-362
Author(s):  
Zhang Huang Ye ◽  
Li Chen ◽  
Qiang Yan ◽  
An Jian Wang

The history of mineral consumption in developed countries indicates that the higher the development degree of one country is, the more significant role the nonmetallic minerals plays in the national economy, which our country will go through again. This paper hackles the development, utilization and strategic research of the nonmetallic minerals in china, on the basis of emerging industry plan and the high-tech industry development trend. The research hotspots have been further discussed in this field, which provides the direction for China from a country with rich nonmetallic mineral resources to a great power in quality.In the course of the human history, the nonmetallic minerals have played a significant part in it all along. The history of mineral consumption in developed countries makes it clear that the higher the development degree of a country is, the more significant role the nonmetallic minerals play in the national economy. Therefore, with a combination of the emerging industry and the high-tech industry, it is of great significance to have a review of the development, utilization and strategic research of the nonmetallic minerals in China.


2018 ◽  
Vol 11 (1) ◽  
pp. 174 ◽  
Author(s):  
Jian Hou ◽  
Jiancheng Chen ◽  
Hongfeng Song ◽  
Gang Wang

Compared with developed countries, the paper explores whether non-R&D innovation activities in China actually are effective and provides a guidance on how we can choose a sustainable innovation mode for non-R&D, especially considering the “threshold effect” of the heterogeneity of different regional innovation levels. The dynamic threshold panel models of the non-R&D (NRD) effect on the basis of the threshold of regional innovation level is constructed to verify the complex “threshold effect” characteristics between non-R&D and innovation performance. The empirical results are discussed according to the panel data for 30 provinces in China concerning the high-tech industry. Results argue that the mechanism of non-R&D innovation activities on innovation performance have a significantly different “threshold effect.” Interestingly, when the threshold of regional innovation keeps a low level, the negative effect of non-R&D innovation activities is much larger. When the threshold level of regional innovation increases, reaching the critical mass, the negative impact of non-R&D innovation activities on innovation performance becomes smaller. However, once the regional innovation level crosses the critical mass, the negative impact of non-R&D shows a significantly increasing tendency. Specifically, neither much higher nor much lower regional innovation level is conducive to the promoting effect of non-R&D activities. The negative impact of non-R&D on performance will decrease to the minimum only in the regions within the moderate threshold level (critical mass). The dynamic nonlinear mechanism between non-R&D activities and innovation performance is empirically studied to assist high-tech enterprises for innovation sustainability based on heterogeneity of different regional innovation levels.


2020 ◽  
Vol 26 (4) ◽  
pp. 815-834
Author(s):  
V.V. Smirnov

Subject. The article considers the symbiosis of Russia with developed countries. Objectives. The purpose is to identify conditions and possibilities for the symbiosis of Russia with advanced economies to establish a process of concentrated internationalization of financial capital for the market economy development completion, formation of full-fledged capitalism with stable dynamics of productive forces. Methods. The study rests on the systems approach, using the methods of descriptive statistics, neural network, nonparametric and cluster analysis. Results. The study reveals favorable conditions for the symbiosis of Russia with developed countries. They appear due to low requirements to the volume and connectivity of attracted high-tech capital. This enables to use the potential of small countries, motivating them to satisfy their ‘resource hunger’. Russia's transition to the said symbiosis is hindered by the policy of smooth devaluation of the national currency, which is used to increase the growth rate of total government expenditure and current GDP, and adversely affects the growth rate of gross national saving. Conclusions. The grounds for emergence of conditions and opportunities for the symbiosis of Russia with developed countries include the high values of financial development and low economic growth in Russia against the declining growth rates of the world economy and weakening of globalization process. The basis of Russia's symbiosis with developed countries is the mutually agreed necessity to internationalize capital in the form of investment financial institutions, which increase its concentration in production for the development of productive forces in conditions of the increasing risk of global recession.


2020 ◽  
Vol 19 (9) ◽  
pp. 1723-1735
Author(s):  
A.Yu. Pronin

Subject. The article investigates the program-targeted planning methodology, which is implemented in the Russian Federation and leading foreign countries, for high-tech industry development. Objectives. The aim is to identify the specifics of program-targeted planning for the development of high-tech industries, to shape programs and plans for innovative development in the Russian Federation and leading foreign countries. Methods. The study employs general scientific methods of systems analysis, including the statistical and logical analysis. Results. I reviewed methods of program-targeted planning, implemented by the world’s leading countries (the Russian Federation, United States of America, France, Great Britain, Netherlands, Norway, Japan, Canada), in the interests of the development of various high-tech sectors of the economy. The study established that the methodology of program-targeted management is an effective tool for resource allocation by various types of economic activities in accordance with national priorities. I developed proposals by priority areas for improving the methodology for program-targeted planning and management in the Russian Federation in modern economic conditions. Conclusions. The findings and presented proposals can be used to improve methods for program-targeted planning to develop high-tech sectors of the economy; to design various long-term programs and plans, reducing the risk of their implementation; to determine the ways and methods of sustainable socio-economic and innovative and technological development of the world's leading economies.


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