Can greater openness improve green economy efficiency of countries along the Belt and Road Initiative?

Ma, Wei; Bo, Na; Wang, Xinmin

doi:10.1016/j.heliyon.2024.e26684

Cited by 3 publications

(2 citation statements)

References 83 publications

(90 reference statements)

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“…To accelerate the construction of a new pattern of scientific and technological innovation cooperation under the Belt and Road. It is necessary to strengthen scientific and technological cooperation in important scientific and technological innovation directions and key areas [7,8]. This initiative will inject new momentum and unleash new potential for promoting high-quality economic development along the Belt and Road.…”

Section: Introductionmentioning

confidence: 99%

A Study on Innovation Factor Allocation Efficiency and Spatial Correlation Based on Regions Along the Belt and Road in China

Liu,

Han,

Yang

et al. 2024

Preprint

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The level of development of the innovation factor plays a crucial role in supporting the high-quality development of China's economy. To advance the development of regional innovation factor allocation efficiency along the Belt and Road. This article introduces the super-efficiency SBM-DEA-Malmquist model for the static and dynamic analysis of innovation factor allocation efficiency in 17 provinces along the Belt and Road from 2012 to 2021. The Moran index model analyzes the spatial correlation. The results show that: (1) The overall innovation factor allocation efficiency along the Belt and Road is not high, and there are obvious differences among different regions. The eastern region is the highest compared to other regions. (2) According to the efficiency decomposition results, pure technical efficiency is the main reason for the low innovation factor allocation efficiency. (3) Through the Malmquist index and decomposition index, it is found that pure technical efficiency and scale efficiency are key factors in improving technical efficiency. (4) The analysis of spatial correlation reveals a strong spatial agglomeration feature among the provinces along the Belt and Road. The innovation factor allocation efficiency is mainly manifested in the L-L type. Finally, according to the analysis results, suggestions and policies are put forward to improve the innovation factor allocation efficiency in the regions along the Belt and Road.

show abstract

Section: Introductionmentioning

confidence: 99%

A Study on Innovation Factor Allocation Efficiency and Spatial Correlation Based on Regions Along the Belt and Road in China

Liu,

Han,

Yang

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Cooperation in science, technology, and innovation is seen as an important support for promoting high-quality economic sustainable development in the construction of the Belt and Road, as well as an important link in the expansion of new areas and new spaces. To accelerate the construction of a new pattern of scientific and technological innovation cooperation under the Belt and Road, it is necessary to strengthen scientific and technological cooperation in important scientific and technological innovation directions and key areas [7,8]. This initiative will inject new momentum and unleash new potential for promoting high-quality sustainable economic development along the Belt and Road.…”

Section: Introductionmentioning

confidence: 99%

A Sustainable Development Study on Innovation Factor Allocation Efficiency and Spatial Correlation Based on Regions along the Belt and Road in China

Liu,

Han,

Yang

et al. 2024

Sustainability

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The level of development of the innovation factor plays a crucial role in supporting the high-quality sustainable development of China’s economy. In order to advance the sustainable development of regional innovation factor allocation efficiency along the Belt and Road this study introduces the super-efficient slacks-based measure (SBM)-data envelopment analysis (DEA)-Malmquist model for static and dynamic analyses of innovation factor allocation efficiency in 17 provinces along the Belt and Road from 2012 to 2021. This study used the Moran index model to analyze spatial correlation. The results show the following: (1) The overall innovation factor allocation efficiency along the Belt and Road is not high, and there are obvious differences among different regions. The eastern region’s efficiency is the highest compared to other regions. (2) According to the efficiency decomposition results, pure technical efficiency (PTE) is the main reason for the low innovation factor allocation efficiency. (3) Through the Malmquist index and decomposition index, it was found that pure technical efficiency (PECH) and scale efficiency (SECH) are key factors in improving technical efficiency (TECH). (4) The analysis of spatial correlation revealed a strong spatial agglomeration feature among the provinces along the Belt and Road. Innovation factor allocation efficiency is mainly manifested in the third quadrant. Finally, drawing on the results of the analysis, suggestions and policies are put forward to improve innovation factor allocation efficiency in the regions along the Belt and Road. This study is of great significance for promoting the sustainable development of the regional innovation level along the Belt and Road in China.

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Evaluation of High-Quality Development Level of Regional Economy and Exploration of Index Obstacle Degree: A Case Study of Henan Province

Zhou,

Hu,

Wei

et al. 2024

J Knowl Econ

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Can greater openness improve green economy efficiency of countries along the Belt and Road Initiative?

Cited by 3 publications

References 83 publications

A Study on Innovation Factor Allocation Efficiency and Spatial Correlation Based on Regions Along the Belt and Road in China

A Study on Innovation Factor Allocation Efficiency and Spatial Correlation Based on Regions Along the Belt and Road in China

A Sustainable Development Study on Innovation Factor Allocation Efficiency and Spatial Correlation Based on Regions along the Belt and Road in China

Evaluation of High-Quality Development Level of Regional Economy and Exploration of Index Obstacle Degree: A Case Study of Henan Province

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