Temporal and Spatial Evolution of the Science and Technology Innovative Efficiency of Regional Industrial Enterprises: A Data-Driven Perspective

Yang, Yaliu; Wang, Yuan; Wang, Cui; Zhang, Yingyan; Zhang, Cuixia

doi:10.3390/su141710721

Cited by 4 publications

(2 citation statements)

References 87 publications

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“…The lack of skills and lack of qualifications of personnel in this area threatens the safety of people and the failure of networks [1,2]. Accordingly, it was necessary to speed up the process of developing simulator tasks, as well as take into account innovations in the energy sector [3]. Significant results in this matter have been achieved with the help of the distribution network model.…”

Section: Automatic Methods Of Preparation Of Datamentioning

confidence: 99%

Automatic method of preparation of data for setting the model of the electric network mode when constructing the mnemonic diagram of the object for the simulator

Liepatiev,

Samoylov

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The article is devoted to an automatic data preparation method for setting up a distribution network model, which is used to develop training tasks for distribution network personnel. The main goal in creating the method is to reduce the time for developing a simulator task by leveling the human error during the stage of filling in the structural data of the distribution network components. To interact with the automatic method and the already pre-created component library that was used in the previous method, it was necessary to change the internal structure of the double winding and three winding transformer components. Also, a new structural component was added to the library – Connection. The program algorithm of the automatic method consists of three cycles that go through all the components transferred from the library to the distribution network model. For a better understanding and perception of textual information about each cycle, a graphical representation of cycle process diagrams is presented. In conclusion, information is provided on the time spent when creating a task with manual data preparation and the developed automatic one, as well as suggestions to reduce computer resourced used during model run.

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Section: Automatic Methods Of Preparation Of Datamentioning

confidence: 99%

Automatic method of preparation of data for setting the model of the electric network mode when constructing the mnemonic diagram of the object for the simulator

Liepatiev,

Samoylov

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Lopez-Vega and Lakemond [10] pointed out that there are difficulties in the transformation of technological achievements and industrial transformation and upgrading. Yang et al [11] pointed out that there is irrationality in the allocation of regional innovation resources, and the current situation of synergy innovation is not optimistic. The ability of regional synergy innovation reflects the degree of integration of various innovative elements among synergy innovation entities [12].…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Evaluation and Recommendations for Regional Synergy Innovation Capability

Kang¹,

Hu²,

Yang³

2023

Sustainability

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Regional synergy innovation capability is an important driving force in promoting the sustainable and high-quality development of the regional economy. Taking the regional innovation development panel data of the Yangtze River Delta integration region from 2010 to 2019 as a sample, this study constructs an evaluation index system of regional synergy innovation capability, weights the index using the entropy weight method, and measures the capability of the Yangtze River Delta integration region (three provinces and one city) using the composite system synergy degree model. The empirical results show that the synergy of regional synergy innovation in the Yangtze River Delta integration has increased steadily, but there is still much room for improvement. Anhui has great potential for synergy innovation with Jiangsu, Zhejiang, and Shanghai. Therefore, this study proposes countermeasures and suggestions for the high-quality development of Anhui’s synergy innovation capability under the integration of the Yangtze River Delta. This study provides theoretical and methodological support for enhancing regional synergy innovation capability and provides decision support for the sustainable and high-quality development of the regional economy.

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Analysis of the Current Situation of the Construction Industry in Saudi Arabia and the Factors Affecting It: An Empirical Study

Yu,

Shang,

Wang

2024

Sustainability

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The construction industry in Saudi Arabia has been modernized through the implementation of green building technologies and intelligent building systems, which have facilitated the sustainable development of the construction industry in Saudi Arabia. However, there is a paucity of research on the current situation of the construction industry in Saudi Arabia. In this study, the super-efficient epsilon-based measurement (EBM)–Malmquist model was used to measure the static and dynamic efficiency of the construction industry in the administrative areas of the 13 provinces of Saudi Arabia from 2013 to 2022, and the Tobit model was used to empirically analyze the factors affecting the efficiency of the industry. In addition, the spatial autocorrelation of the efficiency of the industry was analyzed using Moran’s Index (MI) to study the characteristics of the spatial distribution of industrial efficiency as well as the effectiveness of resource allocation. The study shows that Saudi Arabia’s construction industry is at a low level of development; the population, GDP, and carbon dioxide emissions have a significant impact on the efficiency of the industry; and the development of the industry can help to reduce carbon dioxide emissions, thus promoting environmental sustainability; Saudi Arabia’s construction industry has a spatial spillover effect but does not have a significant agglomeration effect. This study accurately identifies the current situation of the development of the construction industry in Saudi Arabia and proposes several countermeasures and opinions, which are expected to provide a theoretical basis for realizing its sustainable development.

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Temporal and Spatial Evolution of the Science and Technology Innovative Efficiency of Regional Industrial Enterprises: A Data-Driven Perspective

Cited by 4 publications

References 87 publications

Automatic method of preparation of data for setting the model of the electric network mode when constructing the mnemonic diagram of the object for the simulator

Automatic method of preparation of data for setting the model of the electric network mode when constructing the mnemonic diagram of the object for the simulator

Data-Driven Evaluation and Recommendations for Regional Synergy Innovation Capability

Analysis of the Current Situation of the Construction Industry in Saudi Arabia and the Factors Affecting It: An Empirical Study

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