scholarly journals Research on the incentive of Government subsidy in the Innovation ecosystem of Guangzhou New Energy Automobile Industry

2021 ◽  
Vol 235 ◽  
pp. 01001
Author(s):  
Xueyu Zhang ◽  
Wenyong Li
Keyword(s):  
Technological Innovation ◽  
Automobile Industry ◽  
Innovation Process ◽  
Guangdong Province ◽  
Enterprise Management ◽  
Government Subsidy ◽  
Innovation Ecosystem ◽  
Industrial Innovation ◽  
Starting Point ◽  
The Incentive Mechanism

Led by made in China 2025 and the 13th five-year Plan of Guangdong Province, the development of strategic emerging industries in Guangdong Province needs to build an innovation ecosystem. In the development of industrial innovation, the management and development of enterprises are affected by policy environment, technological innovation, talent incentive and so on. The profit transformation ability, research and task development ability of core enterprises still need to be improved. On this basis, this paper takes Guangzhou as an example to investigate the current situation of incentive implementation of innovative industry and the role of industrial technological innovation from the starting point of government subsidy policy.Through the analysis of the different roles in each stage of the innovation process to achieve complementary advantages, the transformation of enterprise management mechanism, highlight the incentive mechanism of the innovation ecosystem, and achieve the healthy development of the industrial innovation ecosystem.

scholarly journals Research on Innovation Promotion and Application of Guangzhou New Energy Automobile Industry

2021 ◽  
Vol 292 ◽  
pp. 01011
Author(s):  
Xueyu Zhang ◽  
Wenyong Li
Keyword(s):  
Data Analysis ◽  
Automobile Industry ◽  
Policy Support ◽  
Industry Analysis ◽  
Innovation Ecosystem ◽  
Emerging Industries ◽  
Bay Area ◽  
Industrial Chain ◽  
New Energy ◽  
The Incentive Mechanism

The new energy automobile industry has now formed a complete industrial chain. The cities in the Bay Area have a clear division of labor, sufficient technical reserves, and strong policy support. They are emerging industries that are mainly supported. With the continuous upgrading and transformation of the industry, the transformation and upgrading of the Guangzhou automobile industry is on the agenda. This paper discusses the current situation and problems of Guangzhou automobile industry. Analysis of Several Important Influencing Factors of Guangzhou Automobile Industry Innovation in Transformation and Upgrading. Through multi-factor comparison and data analysis, this paper puts forward the corresponding optimization path, in order to accelerate the transformation , upgrading of Guangzhou automobile industry innovation ecosystem and improve the incentive mechanism of Guangzhou new energy automobile industry innovation.

scholarly journals Evaluation and Improvement of Technological Innovation Efficiency of New Energy Vehicle Enterprises in China Based on DEA-Tobit Model

2020 ◽  
Vol 12 (18) ◽  
pp. 7509 ◽  
Author(s):  
Siran Fang ◽  
Xiaoshan Xue ◽  
Ge Yin ◽  
Hong Fang ◽  
Jialin Li ◽  
...  
Keyword(s):  
Technological Innovation ◽  
Automobile Industry ◽  
Innovation Process ◽  
Evaluation Framework ◽  
Data Envelopment ◽  
Tobit Regression ◽  
New Energy ◽  
Transformation Stage ◽  
New Energy Vehicle ◽  
Two Stages

It is vital to promote and optimize the technological innovation efficiency of new energy vehicle (NEV) enterprises for the green transformation of China’s automobile industry. However, China’s NEV enterprises still have problems such as insufficient research of technology and unreasonable innovative resource allocation. To improve the technological innovation efficiency of China’s NEV enterprises, the NEVs’ technological innovation process is divided into two stages: the research and development (R&D) stage and the achievement transformation stage in this research. Combining Tobit regression with data envelopment analysis (DEA), an evaluation framework of technological innovation efficiency of the NEV enterprises is constructed. Then, the innovation efficiency of 23 NEV listed enterprises from 2013 to 2018 is analyzed. The result reveals three findings. First, the overall technological innovation efficiency of NEV enterprises is low. Second, enterprises’ R&D efficiency is generally higher than the achievement transformation efficiency. Third, according to two-stage efficiency, 23 NEV enterprises are divided into four categories. For different types of enterprises, targeted guidance to improve innovation efficiency is proposed. This research provides a theoretical and practical basis for improving the innovation efficiency of NEV enterprises.

scholarly journals Exploring Driving Forces of Sustainable Development of China’s New Energy Vehicle Industry: An Analysis from the Perspective of an Innovation Ecosystem

2018 ◽  
Vol 10 (12) ◽  
pp. 4827 ◽  
Author(s):  
Jianlong Wu ◽  
Zhongji Yang ◽  
Xiaobo Hu ◽  
Hongqi Wang ◽  
Jing Huang
Keyword(s):  
Sustainable Development ◽  
Automobile Industry ◽  
Driving Forces ◽  
Innovation Process ◽  
Market Demand ◽  
Innovation Ecosystem ◽  
Industry Development ◽  
The Sustainable Development ◽  
New Energy ◽  
New Energy Vehicle

The sustainable development of the new energy vehicle (NEV) industry is receiving increasing attention worldwide. However, as a “catch-up” country in the automobile industry, China has made remarkable achievements in NEV industry development. To explore this phenomenon, this paper develops an “innovation-demand-policy” (IDP) framework to investigate the driving forces of sustainable development of the NEV industry from the perspective of an innovation ecosystem. Based on a comprehensive data collection and processing of interviews, patents, industry reports, and policy documents, the findings showed that technological innovation, market demand, and government policy drive NEV industry development together, and policy can play an effective role of coordination only when it follows an innovation process and market demand selection mechanism. Specifically, technological grafting, potential market demand, and supply-side policy create a minimum viable ecosystem and the embryonic form of the NEV industry. Technological breakthroughs, public demand, and demand-side policy enhance the NEV industry’s ability to grow via a platform ecosystem. Additionally, total innovation, private demand, and environmental-side policy upgrade the NEV industry through expanding and reconfiguring the innovation ecosystem. This study also provides suggestions for policymakers and industrialists to promote sustainable development of the NEV industry in the future.

Is Co-working Increase Survivability? Study on how Collaborating and Networking Facilitates Open Innovation Process for Startups

2020 ◽  
Vol 7 (2) ◽  
pp. 68-75
Author(s):  
Elissa Dwi Lestari
Keyword(s):  
Open Innovation ◽  
Deep Understanding ◽  
Innovation Process ◽  
Future Research ◽  
Innovation Ecosystem ◽  
Quantitative Studies ◽  
Multiple Case ◽  
Start Ups ◽  
Community Manager

Startups, as they are bounded to their liabilities of newness and smallness, need to collaborate extensively with their external partners through the open innovation process. This study aims to depict Co-working space's pivotal role in building up a working innovation ecosystem that facilitates open innovation for startups. To get a more deep understanding of the phenomena, this study used an exploratory study based on three case studies of Co-working spaces operated in the Jakarta region. The study shows that the open innovation process among startups is not naturally existed, but instead, it is purposefully designed by the role of a community manager who acts as the ecosystem catalyst. The community manager becomes the ecosystem enablers that facilitate the networking process by connecting members. As a result, these activities will help the emerging of mutual connection and collaboration processes among members that empower open innovation among startups members. The multiple-case design makes the study conclusions might be difficult to generalize. Future research, including quantitative studies, will help the conclusions examination and the knowledge enrichment of start-ups' open innovation process. This paper will enrich the knowledge concerning how Co-working spaces member seizing opportunities that lead to the open innovation process.

scholarly journals Regimes, Resistance and Reforms: Comparing Workers' Politics in the Automobile Industry in China and India

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Manjusha Nair ◽  
Eli Friedman
Keyword(s):  
Automobile Industry ◽  
Guangdong Province ◽  
Temporary Work ◽  
Labour Movement ◽  
China And India ◽  
Global Recession ◽  
National Characteristics ◽  
Wildcat Strike ◽  
Global Movement ◽  
Auto Plants

The automobile industry in China was shaken by an unprecedented upsurge of labour unrest in 2010, beginning with the much-discussed wildcat strike at the Nanhai Honda transmission plant in Guangdong province. While worker activism in auto plants in India was not as concentrated as in China’s 2010 strike wave, the period 2009–2017 witnessed twenty-seven strikes nationwide, indicating a significant uptick after the global recession. The optimism that regarded the escalation of labour unrest as indicative of a global labour movement emerging from the Global South has died down. This is an appropriate moment to ask the question: Why did these protests not materialise into something more? Existing explanations in China tend to focus on the regime characteristics. In this article, we undertake a much-needed comparative analysis to explore the failure of these protests. We argue that their failure to sustain their momentum, let alone become a global movement, must be understood in the context of the structures and temporality of capitalism. While we show that there were regime-based divergences and national characteristics in each case, we also show the striking global convergence both in the ways that the protests materialised and how the states responded. KEYWORDS: labour resistance; temporary work; democracy; neo-liberalism; China; India

scholarly journals Cooperative Evolution of China’s Excellent Innovative Research Groups from the Perspective of Innovation Ecosystem: Taking an “Environmental Biogeochemistry” Research Innovation Group as a Case Study

2021 ◽  
Vol 18 (23) ◽  
pp. 12584
Author(s):  
Jie Gao ◽  
Shu Liu ◽  
Zhijian Li
Keyword(s):  
Complex Systems ◽  
Technological Innovation ◽  
Research Group ◽  
Innovation Ecosystem ◽  
Team Cooperation ◽  
Innovative Research ◽  
Global Innovation ◽  
Peking University ◽  
Cooperation Network ◽  
External Governance

Research, understanding, and prediction of complex systems is an important starting point for human beings to tackle major problems and emergencies such as global warming and COVID-19. Research on innovation ecosystem is an important part of research on complex systems. With the rapid development of sophisticated industries, the rise of innovative countries, and the newly developed innovation theory, innovation ecosystem has become a new explanation and new paradigm for adapting to today’s global innovation cooperation network and the scientific development of complex systems, which is also in line with China’s concept of building an innovative country and promoting comprehensive innovation and international cooperation with scientific and technological innovation as the core. The Innovative Research Group at Peking University is the most representative scientific and technological innovation team in the frontier field of basic research in China. The characteristics of its organization mechanism and dynamic evolution connotation are consistent with the characteristics and evolution of innovation ecosystem. An excellent innovative research group is regarded as a small innovation ecosystem. We selected the “Environmental Biogeochemistry” Innovation Research Group at Peking University as a typical case in order to understand and analyze the evolution of cooperation among scientific and technological innovation teams, improve the healthy development as well as internal and external governance of this special small innovation ecosystem, promote the expansion of an innovation team cooperation network and the improvement of cooperation quality, promote the linkage supports of funding and management departments, and improve their scientific and technological governance abilities. Through scientometrics, visual analysis of knowledge maps, and an exploratory case study, we study the evolution process and development law of team cooperation. It is found that the main node authors of the cooperation network maintain strong cooperation frequency and centrality, and gradually strengthen with the expansion of the cooperation network and the evolution of time. Driven by the internal cooperative governance of the team and the external governance of the funding and management departments, this group has gradually formed a healthy, orderly, open, and cooperative special innovation ecosystem, which is conducive to the stability and sustainable development of the national innovation ecosystem and the global innovation ecosystem.

scholarly journals Can we still Speak about the Innovation Process per se?

Triple Helix ◽  
2021 ◽  
pp. 1-30
Author(s):  
Andrzej H Jasinski
Keyword(s):  
Technological Innovation ◽  
Process Model ◽  
Innovation Process ◽  
Literature Survey ◽  
Main Hypothesis ◽  
Industrial Firms ◽  
Per Se

Abstract In this article, we are analyzing an influence of various factors on the contents, structure and organization of the contemporary innovation process. The main hypothesis assumes that the contemporary innovation more and more often comes as a result of a quite loose set of dispersed processes and not of a put-in-order, several-phase innovation process. The article starts with a literature survey followed by four empirical illustrations. On the basis of this, the multi-process model of technological innovation is presented. Afterwards, we identify implications for practice, especially the main challenges to be faced by innovation managers in industrial firms.

scholarly journals A new innovation paradigm: combining technological and social innovation

2019 ◽  
Vol 107 (1) ◽  
pp. 107 ◽  
Author(s):  
Michael Kohlgrüber ◽  
Antonius Schröder ◽  
Félix Bayón Yusta ◽  
Asier Arteaga Ayarza
Keyword(s):  
Social Innovation ◽  
Raw Materials ◽  
Innovation Process ◽  
Implementation Process ◽  
Steel Company ◽  
User Perspective ◽  
Horizon 2020 ◽  
Starting Point ◽  
The Future ◽  
Industry Sectors

A new innovation paradigm is needed to answer the societal, economic and environmental challenges the world and companies are facing. The EU funded Horizon 2020 SPIRE Project “Coordinating Optimisation of Complex Industrial Processes” (COCOP) is combining technological and social innovation within a steel company pilot case (Sidenor). The project aims at reducing raw materials consumption (and energy and emissions reduction as well) by plant-wide optimisation of production processes based on a software solution and at the same time changing social practices. Key for COCOP is a methodology integrating technological innovation within a social innovation process of co-creation and co-development by involving (potential) users of the future software system and relevant stakeholders right from the beginning; thereby improving effectiveness and impact of the innovations and the implementation process. This involvement is instructed and measured by social key performance indicators (social KPIs) and operationalised in surveys (questionnaire and interviews) with future users, engineers and external experts (from different industry sectors not involved in the project). The article presents the results of the starting point of COCOP illustrating the future user perspective of the pilot steel company (Sidenor) contrasted by the view of external experts – seriously taking into account the interfaces between technology, human and organisation.

scholarly journals Evolution of the Industrial Innovation Ecosystem of Resource-Based Cities (RBCs): A Case Study of Shanxi Province, China

2021 ◽  
Vol 13 (20) ◽  
pp. 11350
Author(s):  
Jun Yao ◽  
Huajing Li ◽  
Di Shang ◽  
Luyang Ding
Keyword(s):  
Positive Impact ◽  
Shanxi Province ◽  
Innovation Ecosystem ◽  
Obvious Effect ◽  
Industrial Innovation ◽  
Management Level ◽  
Effective Strategies ◽  
Slowing Down ◽  
Set Up ◽  
Technology Level

Constructing and exploring the evolution mechanism of an industrial innovation ecosystem in resource-based cities (RBCs) is the most effective way to solve the contradiction between economic development, energy shortage, and environmental degradation. Taking 10 typical RBCs in Shanxi Province as examples, this paper used the method of system dynamics (SD) to build a model of the industrial innovation ecosystem of RBCs and set up scenarios to simulate and predict the evolution of the industrial innovation ecosystem of RBCs. The results showed that the industrial innovation ecosystem of RBCs is a complex system composed of four subsystems: innovation players, innovation content, innovation resources, and innovation environment. In innovation players, the increase in the amount of talent has a more obvious effect on technology level and GDP than R&D funding. In innovation content, the improvement of management level has a slow and continuous positive impact on GDP. Technology achievements, once implemented, will improve GDP more than management progress does. In innovation resources, human capital has greater potential for an increase in GDP and per capita consumption expenditure. In innovation resources, technology level plays an important role in slowing down the deterioration of the ecological environment. This study enriched the theoretical paradigm of the research on the industrial innovation ecosystem, and provided effective strategies to solve the development problems of RBCs.

Reflections on Mode 3, the Co-Evolution of Knowledge and Innovation Systems and How it Relates to Sustainable Development

2013 ◽  
pp. 46-55
Author(s):  
Alice B. M. Vadrot
Keyword(s):  
Sustainable Development ◽  
21St Century ◽  
Knowledge Production ◽  
Theoretical Perspective ◽  
Innovation Systems ◽  
Quadruple Helix ◽  
Innovation Ecosystem ◽  
Starting Point ◽  
Basic Understanding ◽  
Mode 3

This paper is interested in raising the question to which extent the epistemological implications of the Mode 3 concept coincide with the respective knowledge understanding. The argumentation focuses on the article from David F. J. Campbell and Elias G. “Mode 3” and “Quadruple Helix”: Toward a 21st Century Fractal Innovation Ecosystem (2009) and aims to illuminate it from a theoretical perspective. The starting point is the elaborated basic understanding of knowledge as well as the interpretation of knowledge production.

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