A Story Conveyed for Emerging Economies: The Transitivity Effects of Subsidy, R&amp;D, and Innovation Within Manufacturing Industries

Ahia, Bright Nana Kwame; Song, Na; Anafo, Solomon Abugri; Boakye, Elijah Asante

doi:10.1109/tem.2020.3036614

Cited by 5 publications

(3 citation statements)

References 54 publications

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“…rough the unguided SBM and network DEA model, Zhong et al analyzed the technological innovation efficiency of strategic emerging industries in China's provinces from 2002 to 2013 and found that during this period the overall technological innovation efficiency continued to improve, and the efficiency of eastern provinces was higher than that of central and western provinces [11]. Ahia et al analyzed 1272 Chinese emerging industry enterprises and put forward a sandwich model to explain the transmission between government subsidies, R & D, and innovation, indicating that government subsidies play a vital role in the development of strategic emerging industries [12]. At present, with all walks of life moving towards informatization, many traditional industries have introduced big data technology [13].…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data

Yufeng

Huang

2022

Discrete Dynamics in Nature and Society

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With the strong support of local governments for strategic emerging industries such as high-end equipment manufacturing, new materials, and new energy, strategic emerging industries are playing an increasingly important role in the economy and society. With the increasing enthusiasm of college graduates for independent entrepreneurship, college students’ entrepreneurship is constantly integrated with the development of strategic emerging industries. Based on this background, aiming at the practical problems of the development of strategic emerging industries, this study innovatively puts forward the method of using big data technology and GM model to realize the dynamic model analysis of the development of strategic emerging industries and college students’ entrepreneurial behavior. This article analyzes the correlation between dynamic big data such as industrial scale, industrial market, and industrial direction of local strategic emerging industries and university entrepreneurship, so as to provide theoretical support for the development strategy of strategic emerging industries. Through the neural network algorithm, this article evaluates the entrepreneurship of college students, so as to provide a digital basis for the layout of strategic emerging industries to attract talents and entrepreneurship. Experiments show that the big data integration system established by GM correlation analysis and ant colony Elman regression artificial neural network has high accuracy and can well identify the priority relevance of the industrial direction of strategic emerging industries to college students’ entrepreneurship. It provides theoretical support for regional policy makers to better formulate college students’ entrepreneurship strategy and the development plan of emerging industries.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data

Yufeng

Huang

2022

Discrete Dynamics in Nature and Society

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“…A secondary stream of research concerns government innovation subsidies, wherein governments offer financial support to stimulate private innovative activities [27]. Over the past two decades, an enduring academic discourse has surrounded the impact of government innovation subsidies on private innovation [28]. Most of these studies employ an empirical research paradigm, utilizing panel data to scrutinize the effect of government subsidies on firms' innovation endeavors [29].…”

Section: Literature Reviewmentioning

confidence: 99%

Deciphering the Innovation Subsidy Puzzle: Government Choices amid Supply Chain Encroachment

Wang,

Yuan

2023

Mathematics

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Although the impact of government subsidies on private innovation has been widely recognized and researched in numerous studies, few have considered the increasingly prevalent phenomenon of supply chain encroachment in their analysis. This paper explores this phenomenon through a game-theoretic model that takes into account a government entity, a supplier, and a manufacturer. The primary aim is to understand how the government can make optimal subsidy decisions when the supplier moves into the supply chain. Several interesting conclusions have been drawn: (1) under governmental innovation subsidies, the supplier will raise the price of the new technology to obtain more potential revenue, which is termed the inverse wholesale price effect; (2) different kinds of innovation subsidies are shown to have varied effects on R&D, production, and consumption behavior; and (3) different subsidy strategies are made compatible with the characteristics of innovative activities to maximize social welfare as much as possible. These findings shed light on inconsistent results surrounding the impacts of government subsidies on private innovations in the existing literature, providing municipalities with helpful guidance when encouraging private innovation initiatives amid supply chain encroachment.

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“…For instance，climate change is forcing us to rethink the way we live and work, and net zero target is highly relay on the large-scale technologies. Furthermore, the emerging technologies, particularly digital technologies, are already part of everyday life in a society that is undergoing fundamental change [2][3].…”

Section: Introductionmentioning

confidence: 99%

A Review of Science, Technology, and Innovation: Connotation, Evaluation Model

2023

Advances in Social Science, Education and Humanities Research

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The capacity of science, technology, and innovation has a significant impact on economic growth. A scientific and reasonable capability evaluation model is crucial for the implementation of national, industry, and enterprise science and technology strategies. The research topic of science, technology, and innovation capabilities, as well as evaluation models and methods, is the emphasis of this article. It systematically summarizes the relevant concepts and connotations of science, technology, and innovation, particularly independent innovation, original innovation, innovation cradle, and other related concepts. On this basis, the paper reviews the evaluation models and methods of scientific and technological innovation from academic, institutional, and corporate perspectives, summarizes relevant characteristics and insights, and proposes further research suggestions from the perspectives of indicator selection and weight determination.

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A Story Conveyed for Emerging Economies: The Transitivity Effects of Subsidy, R&D, and Innovation Within Manufacturing Industries

Cited by 5 publications

References 54 publications

[Retracted] Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data

[Retracted] Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data

Deciphering the Innovation Subsidy Puzzle: Government Choices amid Supply Chain Encroachment

A Review of Science, Technology, and Innovation: Connotation, Evaluation Model

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