scholarly journals THE REGIONAL DISPARITY OF INFLUENCING FACTORS OF TECHNOLOGICAL INNOVATION IN CHINA: EVIDENCE FROM HIGH-TECH INDUSTRY

2021 ◽  
Vol 0 (0) ◽  
pp. 1-22
Author(s):  
Yongli Zhang
Keyword(s):  
Influencing Factors ◽  
Technological Innovation ◽  
Economic Transformation ◽  
Government Support ◽  
Central China ◽  
Western China ◽  
High Tech ◽  
Foreign Technology ◽  
Technology Spillover ◽  
Market Environment

Accurate analysis of technological innovation mechanism in different regions is the key to promoting China’s technological innovation, economic transformation and upgrading. This paper collected statistical data of high-tech enterprises in 27 provinces in China from 2009 to 2016, established a novel PSO-GRNN model, and applied sensitivity analysis to explore the influencing factors and regional differences of enterprise technological innovation in Eastern, Central and Western China. The empirical results showed that the influencing factors were innovation investment, market environment, government support and foreign technology spillover sorting by impact size. Innovation investment was the decisive factor of technological innovation, but innovation resources mainly concentrated on Eastern China, severely insufficient in Central and Western China. Market environment was favorable to Eastern and Central China, but unfavorable to Western China, which restricted greatly the development of Western China. The principalagent problem of state-owned enterprise and the crowding out effect of government research and development funds jointly led to the negative influence of government support on technological innovation. Foreign technology spillover had significant positive effects on technological innovation in Western China. This paper clarifies some disputes about influencing factors of technological innovation and provides a new research perspective for related issues.

scholarly journals Government Subsidies and Firm Technological Innovation Performance: An Empirical Study Based on Panel Data of High-tech Firms

2021 ◽  
Vol 275 ◽  
pp. 03070
Author(s):  
Kun Xie ◽  
Zhengluan Zhang
Keyword(s):  
Technological Innovation ◽  
Market Competition ◽  
Economic Transformation ◽  
Moderating Effect ◽  
Innovation Performance ◽  
Ownership Concentration ◽  
High Tech ◽  
Government Subsidies ◽  
Enterprise Innovation ◽  
The Government

Can government subsidies improve enterprises’ technological innovation performance? Based on the A-share high-tech listed enterprises in Shanghai and Shenzhen Stock Exchange from 2015 to 2019, this paper empirically tests the micro policy effect of government subsidies on innovation performance of enterprises under the background of economic transformation, and the moderating effect of regional corruption, market competition and enterprise ownership concentration on this effect. The results show that the high quality signal transmitted by government subsidies is helpful for innovative enterprises to broaden the source of innovation resources and encourage enterprises to actively carry out innovative activities. Moderate level of regional corruption will promote the government subsidy effect, too high or too low level of corruption is not conducive to enterprise innovation; The higher the degree of market competition, the weaker the promoting effect of government subsidies on enterprise innovation; Corporate ownership concentration has a U-shaped moderating effect on government subsidies and innovation performance. Therefore, to improve the independent innovation ability of enterprises, on the one hand, we should continue to strengthen the government innovation subsidy and improve the subsidy system; on the other hand, we should strictly crackdown on corruption activities and supervise the establishment and improvement of the internal control system of enterprises, so as to give full play to the effect of government subsidies.

scholarly journals Research on the Dynamic Evolution of Scientific and Technological Innovation Efficiency in Universities and Identification of Influencing factors—based on Markov Chain Estimation and GMM Model

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Quanzhi Luo
Keyword(s):  
Markov Chain ◽  
Influencing Factors ◽  
Technological Innovation ◽  
Generalized Method Of Moments ◽  
Government Support ◽  
Dynamic Evolution ◽  
Innovation Activities ◽  
Spatial Differences ◽  
Path Dependent ◽  
Comprehensive Measurement

A scientific and comprehensive measurement of the efficiency of scientific and technological innovation activities is the basis and prerequisite for evaluating the existing environment and conditions of universities and is conducive for improving the efficiency and promoting the development of provincial economy. The paper selects the DEA (Data Envelopment Analysis) method to measure the efficiency of scientific and technological innovation in universities of China from 2007 to 2019 and studies its spatial differences. Then, the paper uses Markov chain estimation to describe the dynamic evolution process of the efficiency, and finally uses system GMM (generalized method of moments) model to identify the key influencing factors of its efficiency. The conclusions obtained are as follows: (1) The scientific and technological innovation efficiency in universities presents the highest distribution characteristics in the eastern part, the western part of China has the lowest, and the central part is midway of the two regions. There are significant differences between regions. (2) During the entire observation period, the efficiency in each region showed a path-dependent characteristic. After 2016, the mobility of different levels of technological innovation efficiency of universities in eastern part of China has increased, while in the central and western parts of China it tends to be stable. (3) Economic advantages, location advantages, government support, research and development foundation, and the efficiency of scientific and technological innovation in universities have a significant relationship, and the results are different in different regions.

scholarly journals Analysis of the Influence Mechanism of CO2 Emissions and Verification of the Environmental Kuznets Curve in China

2019 ◽  
Vol 16 (6) ◽  
pp. 944 ◽  
Author(s):  
Debin Fang ◽  
Peng Hao ◽  
Zhengxin Wang ◽  
Jian Hao
Keyword(s):  
Co2 Emissions ◽  
Influencing Factors ◽  
Environmental Kuznets Curve ◽  
High Speed ◽  
Trade Openness ◽  
Development Stage ◽  
Central China ◽  
Western China ◽  
Kuznets Curve ◽  
The Impact

Changes in economic development stage and growth type will lead to variations in the CO2 emissions. Traditional empirical analysis of the variations often only considers the impact of influencing factors on CO2 emissions from a single dimension. Under the background of China’s economy transferring from high-speed growth to high-quality development, this paper comprehensively considers the characteristics of the relevant influencing factors under different development stages and growth rates, and further calculates the panel gray incidence degree between CO2 emissions and these influencing factors in eastern, central, and western China. Based on the different development conditions, corresponding benchmarks of the indicators for the three regions (eastern, western, and central China) are accordingly set, highlighting the unity as well as the uniqueness between different regions. Furthermore, this paper verifies the environmental Kuznets curve (EKC) in the three regions. The result shows that all the factors of per capita Gross Domestic Product (GDP), Energy Intensity, Urbanization Level, and Trade Openness have a high correlation with CO2 emissions in the three regions, in which CO2 emissions are all between the two inflection points of the inverted N-shaped model.

Efficiency Evaluation and Influencing Factors of Western China’s Producer Service Industry Based on DEA and TOBIT Models

2014 ◽  
Vol 933 ◽  
pp. 849-854
Author(s):  
Dai Ming Yang ◽  
Xu Chen ◽  
Cui Li
Keyword(s):  
Influencing Factors ◽  
Service Industry ◽  
Returns To Scale ◽  
Government Support ◽  
Western China ◽  
Efficiency Evaluation ◽  
Producer Services ◽  
Producer Service ◽  
Continuous Progress ◽  
Services Industry

As the continuous progress of the economy, developing produce services industry vigorously has become an important measure to promote the economic development and economic structural optimization, improve the efficiency of social operation. We first built the DEA model for the evaluation of producer services efficiency, and empirical researched the efficiency evaluation of the western producer services industry on this basis using the data from 2000 to 2011 year; then we analyzed the influencing factors by using the TOBIT model. The result shows that the producer services in western China are increasing returns to scale, and technical progress is the main force driving the development of the producer services. In addition, the technological level and government support have important impacts on the efficiency of producer services; the degree of specialization and division of labor, the economic level also play pivotal roles.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

A Study on Influencing Factors of SMEs Pursuing Open and Technological Innovation

2019 ◽  
Vol 4 (2) ◽  
pp. 1-24
Author(s):  
Robinder Nath Sachdev ◽  
Sugin Chang ◽  
Yeonshik Kim
Keyword(s):  
Influencing Factors ◽  
Technological Innovation
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