Do external technology sourcing and industrial agglomeration successfully facilitate an increase in the innovation performance of high-tech industries in China?

Zhang, Ruihan; Sun, Bing; Liu, Mingyao

doi:10.1109/access.2019.2895782

Cited by 16 publications

(14 citation statements)

References 24 publications

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“…(2) Independent variables First, we identify industrial agglomeration ( AGGLO ) as the independent variable for patent output because agglomeration is an important location feature of the development of high technology industries, which plays a key role in promoting innovation activities [74]. We measure the industrial agglomeration of high-tech industries by the location entropy index, and the formula is calculated as follows.…”

Section: Variablesmentioning

confidence: 99%

Industrial Agglomeration, University-Industry Collaboration and Patent Output: Evidence From the Chinese High-Tech Industry

2020

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This article analyzes the different effects of industrial aggregation, industry-university collaboration, foreign direct investment and government support on innovation performance and the synergistic effect between them, thereby to identify the determinants of innovation output of Chinese high-tech industry in the period 2009-2018. The results indicate that industrial agglomeration and industry-university collaboration both have a significant positive impact on the patent output of hightech industries, but the synergistic effect between industrial agglomeration and industry-university collaboration is significantly negative. Meanwhile, both of foreign direct investment and government support could negatively affect the innovation output, while their synergistic effect is positive. INDEX TERMS Industrial agglomeration; University-industry collaboration; Patent output; High-tech industry; Open innovation.

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Section: Variablesmentioning

confidence: 99%

Industrial Agglomeration, University-Industry Collaboration and Patent Output: Evidence From the Chinese High-Tech Industry

2020

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“…2) Construction of an evaluation weight coefficient matrix Next, the corresponding thresholds are determined through grey class. Finally, a whitening function as in [3] f e (e = 1, 2, 3,…”

Section: ) Establishment Of Matrixes For Different Level Of Evaluatimentioning

confidence: 99%

On Innovation Performance of Low-Carbon Technology Breakthrough Innovation Network in Manufacturing Industry Under the Global Value Chain: A Case Study Based on Chinese Manufacturing Industries

Dong

2020

IEEE Access

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The strengthening scientific and reasonable quantitative evaluation of innovation performance of low-carbon technology breakthrough innovation network in manufacturing industry under the background of economic globalization is of important significance, which can enrich relevant theoretical system of low-carbon technology breakthrough and improve the core competitiveness of Chinese manufacturing industries. In this paper, the scientific and reasonable quantitative evaluation of the innovation performance of low-carbon technology breakthrough innovation network is firstly determined as a dynamic (timevarying) evaluation problem, which involves multi-source influencing factors. Note that many evaluation objects in the innovation performance of an innovation network are gray, ambiguous and dynamic variables, which are difficult to be quantified and the collected industrial data has certain discreteness and fluctuation. Hence, a fuzzy clustering analysis on influencing variables of innovation performance of low-carbon technology innovation network is carried out via the sampling data from 28 manufacturing industries during 2011-2016. Moreover, an innovation performance evaluation model for low-carbon technology innovation network is constructed through analytic hierarchy process (AHP), grey theory and fuzzy clustering analysis. Based on this model, the qualitative and quantitative evaluations of innovation performances of the innovation network before and after low-carbon technology breakthrough are realized. The results show that the low-carbon technology breakthrough innovation has a positive effect on improving the development level of manufacturing industry. In addition, the construction performance evaluation model not only decreases the influences of subjective factors by combining qualitative analysis with quantitative analysis, but also applies the grey theory innovatively to determine the membership matrix. It realizes accurate, systematic and scientific evaluation of the innovation performance of the low-carbon technology breakthrough innovation network in the manufacturing industries. Finally, the research conclusions provide the theoretical and practical references to the strategic arrangement of the low-carbon technology breakthrough innovation in Chinese manufacturing industries. INDEX TERMS Low-carbon technology breakthrough innovation; Innovation network; Innovation performance; Chinese manufacturing industries; AHP I. INTRODUCTION With the continuous transition of global technological innovative ability, the innovation-driven development has be

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“…Through division of labor and cooperation, production and transaction costs can be reduced, thereby improving production efficiency and enhancing competitive advantage. Zhang et al [34] believed that the agglomeration of high-tech industries can enhance the innovative effects of green industries. The high-tech industry is an intellectually intensive industry with a strong innovation, and the green industry acquired the ability of technological innovation and continuous innovation through the accumulation of knowledge generated by agglomeration, thereby promoting the improvement of green economy benefits.…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of High-Tech Industry Agglomeration on Green Economy Efficiency—Evidence from the Yangtze River Economic Belt

et al. 2019

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Development is the eternal theme of the times. However, the transformation of the development mode is imminent, and we should abandon the extensive economic development mode and turn to the efficient development of an intensive mode. The high-tech industry will be the decisive force in future industrial development. The agglomeration of the industry will help form economies of scale, thereby improving the effective allocation of resources and promoting productivity. The increase in green economy efficiency is a key factor in achieving green development and an important indicator of achieving the coordinated development of economic development and environmental protection. Therefore, in this study, we try to improve the efficiency of the green economy through industrial agglomeration to achieve green development. In order to solve this problem, we took the Yangtze River Economic Belt as the research object, used Super Slacks-based Measure (SBM) data envelopment analysis (DEA) and general algebraic modeling system (GAMS) to study the green economy efficiency, and then used the system generalized moment method (SGMM) to study the impact of high-tech industry agglomeration on green economy efficiency. According to the empirical test, we found that (1) the green economy efficiency of the Yangtze River Economic Belt shows a volatile upward trend, (2) the green economy efficiency of the Yangtze River Economic Belt differs with time and by region, (3) the agglomeration of the high-tech industry has a lagging effect on the improvement of green economy efficiency, and (4) the regression coefficients of economic development and foreign direct investment are positive and those of environmental regulation and urbanization are negative. Finally, in this paper, we provide corresponding policy recommendations to promote the agglomeration of high-tech industries, thereby improving the efficiency of the green economy.

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Do external technology sourcing and industrial agglomeration successfully facilitate an increase in the innovation performance of high-tech industries in China?

Cited by 16 publications

References 24 publications

Industrial Agglomeration, University-Industry Collaboration and Patent Output: Evidence From the Chinese High-Tech Industry

Industrial Agglomeration, University-Industry Collaboration and Patent Output: Evidence From the Chinese High-Tech Industry

On Innovation Performance of Low-Carbon Technology Breakthrough Innovation Network in Manufacturing Industry Under the Global Value Chain: A Case Study Based on Chinese Manufacturing Industries

The Impact of High-Tech Industry Agglomeration on Green Economy Efficiency—Evidence from the Yangtze River Economic Belt

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