<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In the wave of regional integration of the Yangtze River Delta, there are many geographical and institutional problems and asymmetries in knowledge and cultural systems in the regions, resulting in less efficient development, which creates many uncontrollable factors for integration and hinders it. Based on the entropy value method - three stage DEA model, firstly, We first measured the comprehensive evaluation index of each region’s development using the entropy method and assessed the marine economy of 11 regions in the Yangtze River Delta, we excluded some factors and random disturbances to calculate the innovation efficiency of marine science and technology (hereinafter referred to as IEMST) in China’s Yangtze River Delta region from 2010 to 2020. The results indicate that the overall level of IEMST is low in the 11 regions and is strongly influenced by regional differences. IEMST scale efficiency is too low to limit the improvement of China’s IEMST, we have to improve IEMST, through unified planning, adjustment, configuration of regional some factors, the establishment of a new model of IEMST development, further development of China’s marine science and technology, for China to form an innovation-driven development of science and technology to promote the great power of the sea has a positive impact, to promote the implementation of the marine power strategy.</p>
</abstract>

In the wave of regional integration of the Yangtze River Delta, there are many geographical and institutional problems and asymmetries in knowledge and cultural systems in the regions, resulting in less efficient development, which creates many uncontrollable factors for integration and hinders it. Based on the entropy value method - three stage DEA model, firstly, We first measured the comprehensive evaluation index of each region’s development using the entropy method and assessed the marine economy of 11 regions in the Yangtze River Delta, we excluded some factors and random disturbances to calculate the innovation efficiency of marine science and technology (hereinafter referred to as IEMST) in China’s Yangtze River Delta region from 2010 to 2020. The results indicate that the overall level of IEMST is low in the 11 regions and is strongly influenced by regional differences. IEMST scale efficiency is too low to limit the improvement of China’s IEMST, we have to improve IEMST, through unified planning, adjustment, configuration of regional some factors, the establishment of a new model of IEMST development, further development of China’s marine science and technology, for China to form an innovation-driven development of science and technology to promote the great power of the sea has a positive impact, to promote the implementation of the marine power strategy.

The development model of marine science and technology innovation under the background of regional integration in the Yangtze River Delta in the new era

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In the wave of regional integration of the Yangtze River Delta, there are many geographical and institutional problems and asymmetries in knowledge and...

The development model of marine science and technology innovation under the background of regional integration in the Yangtze River Delta in the new era

Publicado en línea: 03 jun 2023

Páginas: -

Recibido: 27 jun 2022

Aceptado: 24 oct 2022

DOI: https://doi.org/10.2478/amns.2023.1.00210

Palabras clave
regional integration, marine science and technology innovation, entropy method, three-stage DEA model, slack variables

© 2023 Hengfei Huan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The development model of marine science and technology innovation under the background of regional integration in the Yangtze River Delta in the new era

Publicado en línea: 03 jun 2023

Páginas: -

Recibido: 27 jun 2022

Aceptado: 24 oct 2022

DOI: https://doi.org/10.2478/amns.2023.1.00210

Palabras claveregional integration, marine science and technology innovation, entropy method, three-stage DEA model, slack variables

© 2023 Hengfei Huan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Palabras clave
regional integration, marine science and technology innovation, entropy method, three-stage DEA model, slack variables