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 Research on the impact of new energy automobile industry alliance development status on technological innovation

2021 ◽  
Vol 251 ◽  
pp. 01091
Author(s):  
Zou Dewei
Keyword(s):  
Technological Innovation ◽  
Automobile Industry ◽  
Risk Sharing ◽  
Policy Support ◽  
Classification Theory ◽  
Development Status ◽  
New Energy ◽  
New Energy Vehicle ◽  
Horizontal Alliance ◽  
The Impact

With the increasing pressure on the ecological environment, the continuous progress of science and technology and the government’s policy support for the new energy industry, the development momentum of China’s new energy automobile industry is strong. However, the emerging industry still faces major obstacles in terms of technological innovation, standard-setting and marketization. In the face of these obstacles, industrial alliances, as an organizational form, have been widely used in the new energy vehicle industry in order to seek the risk sharing and cooperation effect of alliances. In this paper, on the basis of identifying the members of China’s new energy automobile industry alliance and based on the classification theory of industrial alliance, China’s new energy automobile industry alliance is divided into horizontal alliance and vertical alliance. In addition, this paper adopts the method of case study to put forward reasonable suggestions for the shortcomings existing in the development status of China’s new energy vehicle industry alliance, so as to promote the technological innovation of the industry alliance.

scholarly journals Efficiency of Two-Stage Technological Innovation in High Patent-Intensive Industries That Considers Time Lag: Research Based on the SBM-NDEA Model

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Junzhong Zou ◽  
Wei Chen ◽  
Nan Peng ◽  
Xuan Wei
Keyword(s):  
Data Envelopment Analysis ◽  
Panel Data ◽  
Technological Innovation ◽  
Time Lag ◽  
Innovation Process ◽  
Indicator System ◽  
Data Envelopment ◽  
Input Output ◽  
Two Stages ◽  
Output Indicator

Considering time lag and accumulation of inputs and outputs, this paper adopts the superefficiency data envelopment analysis (DEA) model to study the technological innovation efficiency of high patent-intensive industries using panel data from 2007 to 2017. Given the characteristics and the actual circumstances of the industries, the innovation process is divided into two stages, and an input-output indicator system is established. The results show that the overall innovation efficiency level of high patent-intensive industries in China is increasing. However, the R&D achievements in technology are not quickly applied or sufficiently transformed.

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.

scholarly journals Network Position Advantage and Technological Innovation of China’s New Energy Vehicle Based on the Perspective of Network Theory

2019 ◽  
Vol 11 (7) ◽  
pp. 2098 ◽  
Author(s):  
Xiu SHI ◽  
Rui JING ◽  
Guang-ming HOU ◽  
Jun-peng WANG
Keyword(s):  
Technological Innovation ◽  
Management Practice ◽  
Central Position ◽  
Innovation Networks ◽  
Relationship Strength ◽  
Network Location ◽  
New Energy ◽  
Microscopic Features ◽  
New Energy Vehicle

This paper attempts to explore the role of innovation networks in the new energy vehicle industry from the perspective of evolution, by integrating of the overall network and the entities’ microscopic features and designing relative variables. Based on market orientation theory social network analysis, the relationship between network location and technological niche and the role of the network relationship strength was examined through empirical data of China’s 2009–2017 patents for new energy vehicles. The results show that: (1) There is an inverted U-shaped relationship between the central position and the technological niche “state” and “potential”; (2) There is an inverted U-shaped relationship between the brokerage position and the entities’ technological niche “state”, and the inverted U-shaped relationship with the technological niche “potential” is not significant; (3) The overall relationship strength of the network modulates the inverted U relationship between the central location and the technological niche. This paper opens up new ideas for the research of the role of innovation networks. The research conclusions have important implications for the management practice of new energy vehicle industries in China through collaborative networks to achieve technological innovation.

Efficiency Evaluation of China's Regional Innovation Process Based on a Network Data Envelopment Analysis Model with a Mixed Structure: Enlightenment from the Regional Tobacco Industry

2021 ◽  
Vol 7 (6) ◽  
pp. 5184-5196
Author(s):  
Zhu Yu ◽  
Yang Feng ◽  
Wang Dawei
Keyword(s):  
Data Envelopment Analysis ◽  
Tobacco Industry ◽  
Innovation Process ◽  
Data Envelopment Analysis Model ◽  
Network Data ◽  
Data Envelopment ◽  
Mixed Structure ◽  
Regional Innovation ◽  
Network Data Envelopment Analysis ◽  
Two Stages

Accurate measurement of regional efficiency is a prerequisite for effective management. Prior studies have expanded on the overall "black box" evaluation with two stages of research and development (R&D) and commercialization, opening up the internal structure of the regional innovation process, but ignoring the independent innovation activities of universities, research institutes, and firms in the R&D stage. We construct a mixed structure with two stages, three actors, and four subsystems, and conduct an empirical analysis of China's provincial samples from 2017 to 2019 by using the network data envelopment analysis (DEA) model. Results show that the efficiency of the R&D stage at the provincial level is generally higher than that of the commercialization stage. However, the three subsystems of the R&D stage perform poorly. Spearman’s rank correlation coefficient suggests that there is a significantly positive correlation between total regional efficiency and commercialization. In addition, we use the k-means method to divide 27 provinces into three clusters, setting a more appropriate improvement benchmark for inefficient provinces. Based on enlightenment of regional tobacco industry, we put forward some proposals for specific stage and specific subsystem.

scholarly journals Optimization of Subsidy Policy for New Energy Automobile Industry in China Based on an Integrated Fuzzy-AHP-TOPSIS Methodology

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Xiaojia Wang ◽  
Yiming Song ◽  
Xuan Zhang ◽  
Hui Liu
Keyword(s):  
Automobile Industry ◽  
Fuzzy Ahp ◽  
Subjective Evaluation ◽  
Analytic Hierarchy ◽  
Subsidy Policy ◽  
Healthy Development ◽  
New Energy ◽  
Order Preference ◽  
Decision Environment ◽  
New Energy Vehicle

With the continuous tension of the international energy supply and the increasing appeal of the global environmental protection, the development of the new energy vehicle industry has attracted international attention. In order to support the development of new energy automobile production, China has frequently issued support policies. However, the problem of subsidy fraud has been exposed. Therefore, in order to help the healthy development of China’s new energy automobile industry and reduce the risk of subsidy fraud, this paper investigates 15 representative new energy auto enterprises in China and independently evaluates their performance from three aspects. We first use triangular fuzzy numbers (TFNs) to simulate an uncertain decision environment and more closely reflect the decision maker’s thinking model; we then propose an analytic hierarchy process (AHP)-technique for order preference by similarity to an ideal solution (TOPSIS) method based on fuzzy data to rank 15 enterprises. Finally, according to the performance of enterprises, we propose differentiated subsidy policy recommendations. The model proposed in this paper takes into account the uncertainty of subjective evaluation so as to increase the credibility of the results. At the same time, the model can also be applied in other industries.

scholarly journals Coopetition for Sustainable Competitiveness: R&D Collaboration in Perspective of Productivity

2020 ◽  
Vol 12 (19) ◽  
pp. 7993
Author(s):  
Youngwook Ko ◽  
Yanghon Chung ◽  
Hangyeol Seo
Keyword(s):  
Data Envelopment Analysis ◽  
Propensity Score ◽  
Value Creation ◽  
New Technology ◽  
Innovation Process ◽  
Network Data ◽  
Data Envelopment ◽  
Value Appropriation ◽  
Analysis Methodology ◽  
Two Stages

This study explores the effect of coopetition on research and development (R&D) productivity in two stages of the innovation process: (1) value creation to develop new technology and (2) value appropriation to generate profits. Using a sample from the 2010 and 2014 Korea Innovation Survey, we applied the propensity score matching methodology to control selective bias and the two-stage network data envelopment analysis methodology to measure R&D productivity. Our findings indicate that firms who cooperate with competitors in the value creation stage have relatively higher R&D productivity than those who do not. In contrast, firms that pursue the coopetition strategy showed relatively low R&D productivity in the value appropriation stage. Overall, this study provides a better understanding of coopetition by demonstrating its various benefits, costs, and risks.

scholarly journals Can the New Energy Vehicle Pilot Policy Achieve Green Innovation and Emission Reduction?—A Difference-in-Differences Analysis on the Evaluation of China’s New Energy Fiscal Subsidy Policy

2021 ◽  
Vol 13 (15) ◽  
pp. 8643
Author(s):  
Susheng Wang ◽  
Gang Chen ◽  
Dawei Huang
Keyword(s):  
Economic Development ◽  
Technological Innovation ◽  
Carbon Dioxide Emissions ◽  
Emission Reduction ◽  
Inhibitory Effect ◽  
Green Innovation ◽  
Difference In Differences ◽  
New Energy ◽  
New Energy Vehicle ◽  
The Impact

Whether the new energy vehicle pilot policy (NEVPP) can achieve green innovation and emission reduction is an important exploration for China to achieve green and sustainable development. This research aims to empirically investigate the impact, impact mechanism, and heterogeneity characteristics of the NEVPP on urban green innovation and emission reduction based on panel data from 281 cities in China from 2004 to 2017, using difference-in-differences (DID) methods and fixed effect (FE) models. The results show that the NEVPP significantly reduces the carbon dioxide emissions of the pilot cities but significantly inhibits the green innovation, and the results are robust to the placebo test, propensity score matching DID (PSM-DID) test, instrumental variable (IV) estimation, emissions trading system (ETS), and Carbon-ETS interference test, and change of the dependent variable. In addition, further studies have shown that the NEVPP’s emission reduction effects are mainly achieved by reducing energy consumption, promoting technological innovation, and adjusting industrial structure. Moreover, we found that the NEVPP performed better in the regions where the level of economic development is high, the local government has a good relationship with the market, and the level of non-state economic development is high. In general, our research results show that the NEVPP has achieved innovation and emission reduction policy effects in China, but it is also accompanied by an inhibitory effect on green technological innovation.

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.

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