Page 160 - IJOCTA-15-4

Mengxue Li et al. / IJOCTA, Vol.15, No.4, pp.686-705 (2025)
As one of the most economically active Zhejiang Province Social Science 2023 “Social Sci-
provinces in China, Zhejiang Province is represen- ence Empowerment Action” Special Project “Re-
tative of the development of GIE of SNEs in the search Results of Social Science Empowerment
country. Although the policy orientation, as well of High Quality Development Action in Moun-
as external circumstances, such as technological tain (Island) Counties” named “Research on the
innovation in Zhejiang Province, may be better Mechanism and Integration Path of Digital Econ-
than the average level of SNEs in China, result- omy Empowering the High Quality Development
ing in the superior development of GIE of SNEs of Zhejiang’s Mountain Economy,” 2023 Ningbo
in Zhejiang, the policy recommendations are gen- Municipal Industry-Education Integration “Five
erally applicable, which can provide a path for the Batch” Project “Construction of Generative Ar-
development of SNEs across the country. tificial Intelligence-Based Intelligent Education in
Colleges and Universities,” and 2024 Ningbo Soft
5.3. Research limitations Science Research Program “Domestic and Inter-
national Practices of Attracting Social Funds to
SNEs cover a wide range of industries, and their Invest in Basic Research and Implications for the
development is affected by a variety of factors. City (2024R017).”
The current study faces two limitations that re-
quire improvement.
This study primarily focuses on the two di-
Conflict of interest
mensions of input indicators and output indica-
tors, and prudently selects key factors, such as The authors declare they have no competing in-
R&D investment, ES, COORP, and GOVNM, for terests.
consideration. However, the influence of other
factors, such as enterprise culture and manage-
ment level, on GIE may be neglected. Addition-
ally, external environmental factors, such as pol- Author contributions
icy orientation adjustments, fluctuating market Conceptualization: Mengxue Li, Ruiyan Gao
demand, and technological iteration speeds, may Formal analysis: Qizhe Mao, Mengxue Li
have far-reaching impacts on GIE. However, it is Investigation: Xiyi Li, Qizhe Mao
challenging to control and quantify these factors Methodology: Yaguai Yu
in the study. Furthermore, given that the sample Writing–original draft: Ruiyan Gao, Mengxue Li
selected for this study includes 40 SNEs with dif- Writing–review & editing: Yaguai Yu
ferent characteristics in Zhejiang, different enter-
prises may not follow the same standards in data
reporting and recording, which may increase the Availability of data
difficulty of comparing the data with each other.
All data were obtained from the “China Urban
Therefore, it may affect the accuracy and reliabil- Statistical Yearbook”(https://www.stats.gov.cn),
ity of the study results. the wind database (https://www.wind.com.cn/),
and the website of the Science and Technology
Acknowledgments Department of each city.
None.

AI Tools Statement
Fundings
All authors confirm that no AI tools were used in
This work was supported by 2025 Ningbo Social
Science Project “Multiplier Effect of Data Ele- the preparation of this manuscript.
ments Enabling New Quality Productivity: Cur-
rent Status and Possible Paths in Ningbo (G2025- References
3-01),” 2025 Ningbo University SRIP project
1. Energy Institute. Statistical Review of
“Multiplier Effect of Data Elements Enabling
World Energy 2024. United Kingdom:
New Quality Productivity: Logical Mechanisms
Energy Institute; 2024. Available at:
and Paths to Realization (2025SRIP0112),” 2024
https://www.bp.com/statisticalreview.
Zhejiang Province Social Science Think Tank 2. He Y, Wang YH. Research hot spots and evolu-
Project “Research on the Value Assessment of tionary trends of green development at home and
ocean data assets to Empower the High Qual- abroad—a visualization analysis based on CiteS-
ity Development of Zhejiang’s Ocean Economy,” pace. Henan Soc Sci. 2024;32(12):55-66.
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