The Construction and Empirical Research on the Dynamic Evaluation Model of University Science and Technology Output

YuFang, Sun; Yuan, Xueliang; Chen, Qianming

doi:10.1109/access.2021.3071175

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…In today's increasingly severe situation of energy and environmental problems, the state adheres to the concept of green development. "Green development + ecological priority" has become the general direction of China's economic development [3]. As a pillar industry of the national economy, the construction industry has a huge negative impact on resources and environment.…”

Section: Research Backgroundmentioning

confidence: 99%

The Construction of Green Building Integrated Evaluation System Based on BIM Technology

Wang

2022

Mobile Information Systems

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In order to study the problems of information disconnection, poor coordination of project participants, design evaluation, and so on, in the process of green building evaluation in China, this paper proposes a construction method of green building integrated evaluation system based on BIM Technology. This method constructs the research framework through the research on green building evaluation and BIM (building information modeling), analyzes the whole life cycle of BIM in green building, solves the problems existing in green building evaluation in China through the application of BIM, expounds the green building evaluation process under BIM environment, and studies the information interaction of green building evaluation under BIM environment and the application of BIM in green building design evaluation and operation evaluation. The results show that by studying the application of BIM in green building evaluation, it is demonstrated that the green building evaluation based on BIM can effectively improve the evaluation efficiency and realize the informatization, integration, and high efficiency of green building evaluation.

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Section: Research Backgroundmentioning

confidence: 99%

The Construction of Green Building Integrated Evaluation System Based on BIM Technology

Wang

2022

Mobile Information Systems

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“…Evaluation indicators are behavioral and specific features that are evaluated through observable and measurable means [64]. In the evaluation indicator system in the field of educational resource allocation, influenced by econometrics, scholars are more consistent in their choice of input indicators, which are specifically divided into two categories: static and dynamic perspectives [65].…”

Section: Resource Allocation Efficiency Evaluation Index Systemmentioning

confidence: 99%

Do Financial Investment, Disciplinary Differences, and Level of Development Impact on the Efficiency of Resource Allocation in Higher Education: Evidence from China

Chen

et al. 2023

Sustainability

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Optimizing the allocation of university resources to improve the efficiency of inputs and outputs is an important issue for the high-quality development of universities. In recent years, China has become an important growth pole for the development of global higher education. In particular, Chinese agricultural universities, with their distinctive disciplinary characteristics and outstanding professional advantages, have made important contributions to the sustainable development of agricultural education around the world. In contrast, academic research on the efficiency of resource allocation in Chinese agricultural universities is very limited. To fill this gap, this study was guided by econometrics and took high-level agricultural universities in China as the research object to measure the effects of financial investment, disciplinary differences, and development level on the level of resource allocation efficiency of universities. With the help of a data envelopment model (DEA) and a Malmquist index decomposition model, we found that the overall level of resource allocation efficiency in the sample universities was high, but there were great disparities in resource input–output effectiveness between universities. In many universities, marginal inputs exceeded marginal outputs, resulting in input redundancy and resource wastage. In addition, this study shows that for high-level agricultural universities, the regression of capital input technology is preventing a sustained increase in productivity, which places the total factor productivity of resource allocation in a diminishing state.

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“…Still, the view does not draw on data on scientific and technological examples and economic growth. Literature [15] reveals a change in the scientific and technological output of universities from 2013-2016, i.e., a shift from the previous predominance of resource allocation to the predominance of technological efficiency.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Urban Science and Technology Innovation Performance Assessment Model - Based on VAR Methodology Perspective

Zhang

2024

Applied Mathematics and Nonlinear Sciences

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Conventional science and technology performance assessment methods and indicators can no longer meet the current needs of urban science and technology innovation performance assessment, and innovative research is urgently needed. In this study, the four elements of innovation input, innovation process, innovation output, and innovation guarantee are taken as the first-level indicators of the urban science and technology innovation performance assessment index system. The G1 entropy value correction method is used to assign weights to the urban science and technology innovation performance assessment index system to reduce subjective arbitrariness. Finally, the specific situation of innovation elements and innovation performance in S city was selected, and the influence relationship between innovation elements and innovation performance assessment was analyzed using a vector autoregressive model. The results show that the method of assessing the city’s science and technology innovation performance based on the VAR model is simple and easy to operate, the confidence coefficient of the assessment model is more than 0.7, and the mean value of the validity CVR is 0.703. The assessment results have a high degree of credibility and validity and effectively promote the region’s scientific and technological self-reliance and self-improvement.

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The Construction and Empirical Research on the Dynamic Evaluation Model of University Science and Technology Output

Cited by 6 publications

References 26 publications

The Construction of Green Building Integrated Evaluation System Based on BIM Technology

The Construction of Green Building Integrated Evaluation System Based on BIM Technology

Do Financial Investment, Disciplinary Differences, and Level of Development Impact on the Efficiency of Resource Allocation in Higher Education: Evidence from China

Optimization of Urban Science and Technology Innovation Performance Assessment Model - Based on VAR Methodology Perspective

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