scholarly journals Green Technology Innovation Behavior of Cable Enterprises Based on Fuzzy Analytic Hierarchy Process of Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Xiaowei Xu ◽  
Liangqun Qi ◽  
Jianyu Sun
Keyword(s):  
Internet Of Things ◽  
Evaluation Method ◽  
Technology Innovation ◽  
Rating Scale ◽  
Comprehensive Evaluation ◽  
Academic Research ◽  
Green Technology ◽  
Green Innovation ◽  
Cable Company ◽  
Innovation Behavior

With the rise of global sustainable development, green technology innovation has also become the focus of academic research. This article aims to conduct research based on the abstract concept of the Internet of Things behavior based on green technology. A matrix is constructed based on the collected sample data to calculate and analyze so as to intuitively grasp the current situation of the entire industry. From the above data calculated according to the fuzzy hierarchy comprehensive evaluation method, it can be seen that the comprehensive score of the green technology innovation behavior of cable companies is 64.261 points, which belong to the left end of the range between 60 and 80 in the rating scale;, in other words, the company’s innovation capability has a certain degree of stability. The degree has just reached a “high” level, and there is still a lot of room for improvement. The efficiency weight (0.3343) score of the enterprise’s benefit distribution mechanism is relatively low at 55.919. For managers of cable companies, green innovation is fundamental, and the awareness of green innovation should be improved to further promote the development of green technology innovation for the entire cable company.

Evaluation of Green Technology Innovation Capacity of Automobile Manufacture Industry

2010 ◽  
Vol 44-47 ◽  
pp. 206-212
Author(s):  
Yan Rong Wang ◽  
Qiao Ling Xu
Keyword(s):  
Technology Innovation ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Green Technology ◽  
Evaluation Index System ◽  
Ecological Environment ◽  
Matlab Toolbox ◽  
Comprehensive Evaluation Model ◽  
Innovation Capacity ◽  
Manufacture Industry

to cope with the pressure of energy and ecological environment, automobile manufacture industry must implement green technology innovation. According to the characteristics of green technology innovation, the paper puts forward evaluation index system of green technology innovation capacity , establishes comprehensive evaluation model based on improved BP neutral algorithm by Matlab toolbox, and carries out empirical analysis of data from automobile manufacture industry, finally reaches a conclusion.

On Evaluation Model of Green Technology Innovation Capability of Pulp and Paper Enterprise Based on Support Vector Machines

2014 ◽  
Vol 886 ◽  
pp. 285-288 ◽  
Author(s):  
Zhi Fang Zhou
Keyword(s):  
Support Vector Machines ◽  
Evaluation Method ◽  
Technology Innovation ◽  
Evaluation Model ◽  
Green Technology ◽  
Pulp And Paper ◽  
Evaluation Index System ◽  
Support Vector ◽  
Innovation Capability ◽  
Vector Machines

Based on the analysis of the concept of green technology innovation capability, this paper not only structures the evaluation index system of green technology innovation capability in pulp and paper enterprises, builds the evaluation model of green technology innovation capability for pulp and paper enterprises based on Support Vector Machines with Radial Basis Function kernel, but also achieves the optimization of kernel function parameters, penalty factors and insensitive parameters based on a heuristic algorithm for tuning hyper-parameters. This model is more suitable for pulp and paper enterprises to evaluate green technology innovation capability, compared with the evaluation method of BP neural network.

scholarly journals Assessing Regional Differences in Green Innovation Efficiency of Industrial Enterprises in China

2019 ◽  
Vol 16 (6) ◽  
pp. 940 ◽  
Author(s):  
Jun-liang Du ◽  
Yong Liu ◽  
Wei-xue Diao
Keyword(s):  
Economic Growth ◽  
Value Chain ◽  
Regional Differences ◽  
Technology Innovation ◽  
Indicator System ◽  
Green Technology ◽  
Green Innovation ◽  
High Quality ◽  
Two Stage ◽  
Industrial Enterprises

Green technology innovation is an important means to break out of the constraints of resources and the environment, enhance the competitiveness of enterprises, and achieve the upgrading of industrial structures, and promote high-quality economic growth. In order to realize the overall improvement of the green technology innovation capability of Chinese enterprises, it is necessary to measure the efficiency of industrial enterprises’ green technology innovation and explore their regional differences. In this paper, from the perspective of a two-stage innovation value chain, by introducing the industrial carbon emissions per unit of Gross Domestic Product (GDP) and the “three wastes” pollutants into the research framework of green technology innovation efficiency, we established a novel green innovation efficiency evaluation indicator system for industrial enterprises. Furthermore, we used a two-stage network DEA with shared input to measure the efficiency of regional enterprises’ green technology innovation and explored the regional differences in industrial enterprises’ green technology R&D and the efficiency of green technology achievement transformation. Finally, we provide some suggestions for improving China’s industrial enterprises’ green innovation efficiency, so that they can ameliorate the significant regional imbalances and differences and realize high-quality economic growth.

Environmental Regulation, Economic Policy Uncertainty, and Green Technology Innovation

2021 ◽  
Author(s):  
Xiaoqing Li ◽  
Zongyi Hu ◽  
Qing Zhang
Keyword(s):  
Economic Policy ◽  
Environmental Regulation ◽  
Technology Innovation ◽  
Negative Influence ◽  
Green Technology ◽  
Policy Uncertainty ◽  
Economic Policies ◽  
Green Innovation ◽  
Economic Policy Uncertainty ◽  
The Impact

Abstract Green technology innovation is imperative to sustainable and environmentally sound economic development and is currently facing increasingly serious environmental threats. However, existing research has overlooked the uncertainties in economic policies. Based on the logical relationship between environmental regulation, economic policy uncertainty, and green technology innovation, this study empirically analyzed the quantitative relationship among these three variables using the fixed-effect panel method and provincial panel data from 2000 to 2017 for 30 administrative regions of China. The results show that environmental regulation is positively correlated with green innovation, whereas economic policy uncertainty has a negative influence on green innovation, thereby regulating the relationship between the remaining two factors. Moreover, considerable regional heterogeneity exists in these causal influences, i.e., environmental regulation promotes green innovation in the eastern and middle regions but not significantly in the west. The uncertainty actively moderates the impact of environmental regulation on green innovation in all regions with an adjustment coefficient of approximately 0.8; however, it inhibits green innovation in different degrees, especially in the eastern and middle regions. Based on empirical results, we conclude that strict and appropriate environmental regulations are necessary and effective in China to encourage green technology innovation, especially in regions with uncertain economic policies.

scholarly journals DEA Comprehensive Evaluation on Enterprise’s Technology Innovation Capacity

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Zenglong Qu
Keyword(s):  
Evaluation Method ◽  
Technology Innovation ◽  
Comprehensive Evaluation ◽  
Returns To Scale ◽  
Practical Case ◽  
Value Analysis ◽  
Enterprise Technology ◽  
Projection Analysis ◽  
Innovation Capacity

As evaluation factors of enterprise technology innovation capacity are very complicated, evaluation methods commonly used do not consider interrelationships between every capacity element, which results in subjectivity of evaluation results. Because non-parametric methods can be used to deal with evaluation problems with many input and output, this thesis proposes DEA evaluation idea and establish DEA evaluation module. Through practical case study, optimum value analysis of sample enterprise, returns to scale analysis and projection analysis, relatively efficient enterprises are identified and adjustment proposals are put forth for inefficient enterprises. Case study shows that: DEA evaluation method is an efficient method to evaluate enterprise technology innovation capacity.

scholarly journals A Green Technological Innovation Efficiency Evaluation of Technology-Based SMEs Based on the Undesirable SBM and the Malmquist Index: A Case of Hebei Province in China

2021 ◽  
Vol 13 (19) ◽  
pp. 11079
Author(s):  
Yongfang Peng ◽  
Yingying Fan ◽  
Yi Liang
Keyword(s):  
Technological Innovation ◽  
Evaluation System ◽  
Technology Innovation ◽  
Malmquist Index ◽  
Green Technology ◽  
Hebei Province ◽  
Main Trend ◽  
Efficiency Evaluation ◽  
Green Innovation ◽  
Index Model

Small- and medium-sized technology-based enterprises (technology-based SMEs) are an important part of China’s scientific and technological development. To a certain extent, the green technological innovation level of technology-based SMEs plays a significant role in supporting the overall development of social green innovation. Carrying out research on green technology innovation efficiency evaluations of technology-based SMEs is helpful to find existing problems to provide references for managers. Therefore, this paper proposes an evaluation system based on the undesirable slack based model (SBM) and the Malmquist index model. Firstly, the evaluation index system of the green technological innovation efficiency of technology-based SMEs in Hebei Province was constructed from the perspectives of input and output, in which environmental pollution is included in the evaluation factors of green innovation activities. Then, the undesirable SBM and the Malmquist index model of green technology innovation efficiency evaluation were constructed. Finally, the technological innovation efficiency of technology-based SMEs in Hebei Province in different regions and time nodes was comprehensively calculated and combined with the Malmquist index model to analyze the efficiency changes of technology-based SMEs in Hebei Province over different years. The results show that the overall level of green technological innovation efficiency of technology-based SMEs in Hebei Province is low, and the regional differences in various cities are obvious, but the main trend is rising. The research in this paper can further improve the research results in the field of evaluation of technology-based SMEs and technological innovation efficiency, as well as play an important role in improving the ecological competitiveness and sustainable development capabilities of the products of Hebei’s technology-based SMEs.

Comprehensive Evaluation of the Technology Innovation Capability of China’s High-tech Industries Based on Fuzzy Borda Combination Method

2015 ◽  
Vol 7 (3) ◽  
pp. 215-230 ◽  
Author(s):  
Yue Hong ◽  
Dongxiao Niu ◽  
Bowen Xiao ◽  
Lingnan Wu
Keyword(s):  
Evaluation Method ◽  
Technology Innovation ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Objective Evaluation ◽  
Combination Method ◽  
High Tech ◽  
Fuzzy Evaluation ◽  
Innovation Capability ◽  
Capability Evaluation

Technology innovation capability is a main driver in improving a country’s industrial competitiveness. Development prospects and development speed are strongly dependent on industry innovation capability. Therefore, how to effectively and correctly evaluate the innovation capability of industry is of great importance. On the basis of previous research, this paper establishes an index system for evaluating the technology innovation capability of China’s high-tech industries. The index is characterized by the objective evaluation of objects with measurable indexes. The fuzzy Borda method uses precise digital methods to handle fuzzy evaluation objects; therefore, more scientific and pragmatic quantitative criteria are obtained with qualitative and quantitative evaluation results. This paper is the first attempt to apply the fuzzy Borda combination method to high-tech industry innovation capability evaluation. We establish a fuzzy Borda combination model based on four kinds of single evaluation models. By making a combination evaluation, the disadvantages of a single evaluation method are avoided. In the end, based on the fuzzy Borda combination evaluation model, the real technology innovation data of 2013 is analyzed and the innovation capability of individual industry is ranked, which will provide useful guidance for decision-making administrators.

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