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<p>The construction of agricultural composite teaching and research bases plays an important role in promoting rural revitalization and strengthening agricultural education. This paper emphasizes the role of agricultural information technology innovation in rural revitalization and proposes the impact of agricultural technology innovation on the development of rural revitalization. The variables of agricultural technology innovation as well as rural revitalization are selected, the benchmark regression model is set, the local impact model is set for the seven secondary indicators under agricultural technology innovation, and the evaluation index model is constructed. Through the empirical analysis method, the model is sequentially subjected to preliminary analysis and nonlinear characterization. Benchmark regression test using the fixed-effects model, model (7) shows that agricultural technological innovation at the 1% significant level of <italic>β</italic> =2.6548, P &lt; 0.01, indicating that agricultural technological innovation has a positive and positive impact on rural revitalization. The threshold test shows that when the level of financial activity is lower than the threshold effect of 0.0965, the coefficient of the impact of agricultural technological innovation on rural revitalization is 0.0458. The effect of agricultural technological innovation on rural revitalization is affected by the intensity of financial activity, and there is a moderating effect of economic activity on both.</p>
</abstract>

The construction of agricultural composite teaching and research bases plays an important role in promoting rural revitalization and strengthening agricultural education. This paper emphasizes the role of agricultural information technology innovation in rural revitalization and proposes the impact of agricultural technology innovation on the development of rural revitalization. The variables of agricultural technology innovation as well as rural revitalization are selected, the benchmark regression model is set, the local impact model is set for the seven secondary indicators under agricultural technology innovation, and the evaluation index model is constructed. Through the empirical analysis method, the model is sequentially subjected to preliminary analysis and nonlinear characterization. Benchmark regression test using the fixed-effects model, model (7) shows that agricultural technological innovation at the 1% significant level of β =2.6548, P < 0.01, indicating that agricultural technological innovation has a positive and positive impact on rural revitalization. The threshold test shows that when the level of financial activity is lower than the threshold effect of 0.0965, the coefficient of the impact of agricultural technological innovation on rural revitalization is 0.0458. The effect of agricultural technological innovation on rural revitalization is affected by the intensity of financial activity, and there is a moderating effect of economic activity on both.

Research on Information Technology Innovation and Rural Revitalization Strategies of Agricultural Complex Teaching and Research Bases in Colleges and Universities

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The construction of agricultural composite teaching and research bases plays an important role in promoting rural revitalization and strengthening agricultural...

Research on Information Technology Innovation and Rural Revitalization Strategies of Agricultural Complex Teaching and Research Bases in Colleges and Universities

Online veröffentlicht: 03. Juni 2024

Seitenbereich: -

Eingereicht: 25. Feb. 2024

Akzeptiert: 02. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1364

Schlüsselwörter
Benchmark regression model, Nonlinear characteristics, Fixed effect, Threshold effect, Rural revitalization

© 2024 Xiqian Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Research on Information Technology Innovation and Rural Revitalization Strategies of Agricultural Complex Teaching and Research Bases in Colleges and Universities

Online veröffentlicht: 03. Juni 2024

Seitenbereich: -

Eingereicht: 25. Feb. 2024

Akzeptiert: 02. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1364

SchlüsselwörterBenchmark regression model, Nonlinear characteristics, Fixed effect, Threshold effect, Rural revitalization

© 2024 Xiqian Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Benchmark regression model, Nonlinear characteristics, Fixed effect, Threshold effect, Rural revitalization