Coupled coordination of scientific and technological innovation capability in the Pearl River Delta under the background of green Economy

Wenhui Chen; Qianyao Cai; Yiwei Kuang

doi:10.54097/hbem.v12i.8339

Authors

Wenhui Chen
Qianyao Cai
Yiwei Kuang

DOI:

https://doi.org/10.54097/hbem.v12i.8339

Keywords:

Green Finance, Science and Technology Innovation, Coupled Coordination, Panel Data Analysis.

Abstract

Science and technology innovation has been recognized as the driving force behind productivity, and understanding the coordination mechanism between science and technology innovation inputs, outputs, and the environment is of great practical significance in promoting the development of the green economy. This study aims to develop a green economy index measurement system and a science and technology innovation level measurement system to measure the green economy, science and technology innovation input, output, and environment. Additionally, this study examines the coordination between inputs, outputs, and the environment for scientific and technological innovation, conducts a regional convergence analysis, and investigates the impact mechanisms of science and technology innovation subsystems on the green economy using a panel regression model.The combination weight method and comprehensive index method are employed to measure the green economy, science and technology innovation input, output, and environment. The coupling coordination model is then used to examine the coordination between inputs, outputs, and the environment for scientific and technological innovation. Regional convergence analysis is conducted on the coupling coordination of science technology and innovation, and a panel regression model is used to investigate the impact mechanisms of science and technology innovation subsystems on the green economy, study found that the green economy and science technology innovation level have improved during the period of 2010-2020, and the variability of the green economy index between regions has been decreasing year by year. The coupling and coordination between the inputs and outputs of science and technology innovation and the environment have also achieved a significant leap forward, and the variability among regions has shown a decreasing trend. Science and technology innovation input, output, and environment all contribute significantly to the growth of the green economy.The findings of this study suggest that the coupling and coordination between science and technology innovation inputs, outputs, and the environment is crucial in promoting the development of the green economy. The results of this study also provide relevant recommendations for the implementation of the strategy of scientific and technological innovation.

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References

Xu Xiaoguang, Fan Hua, Su Yingsheng, Zheng Zunxin. Research on the measurement of green economy development level and its influencing factors in China [J]. Quantitative Economic and Technical Economic Research, 2021, 38 (07): 65 - 82.

Guo Bingnan, Tang Li, Zhang Hao. Regional differences and stochastic convergence of green economic efficiency in the Yangtze River Economic Zone [J]. Ecological Economics, 2021, 37 (11): 46 - 53.

Liu, Jinshan, Liu, Qianqian, Zhu, Ning. Study on the efficiency of green economy cooperation in Guangdong-Hong Kong-Macao Greater Bay Area [J]. Southern Economy, 2022 (10): 1 - 18.

Yang, Long, Hu, Xiaozhen. Regional differences and convergence analysis of green economic efficiency in China based on DEA [J]. The Economist, 2010, No. 134 (02): 46 - 54.

Lai Yifei, Xie Panjia, Ye Liting, Ma Xinrui. Research on the measurement of regional science and technology innovation efficiency and influencing factors in China--based on super-efficient SBM-Malmquist-Tobit model [J]. Science and Technology Progress and Countermeasures, 2021, 38 (13): 37 - 45.

Cheng Fengyu. Study on the spatial differences and convergence of science and technology innovation in Guangdong-Hong Kong-Macao Greater Bay Area metropolitan area [J]. Quantitative Economic and Technical Economics Research, 2020, 37 (12): 89 - 107.

Cai Xiaolin, Liu Yang, Huang Hao Ran. Evaluation of science and technology innovation capacity of cities in the Pearl River Delta [J]. Science and Technology Management Research, 2021, 41 (04): 68 - 74.

Wang Huiyan, Li Xinyun, Xu Yinliang. Research on performance evaluation and influence factors of high-quality development of China's economy driven by science and technology innovation [J]. The Economist, 2019, No. 251 (1111. 008.

Zhang Wei. Construction and empirical evidence of China's green economy evaluation index system [J]. Statistics and Decision Making, 2021, 37 (16): 126 - 129.

Hou Chunguang, Cheng Yu, Ren Jianlan, Chen Yanbin. Mechanisms of science and technology innovation affecting regional greening--a study based on green economic efficiency and spatial measurement [J]. Science and Technology Management Research, 2017, 37 (08): 250 - 259.

Li Dapeng, Xia Antao. Spatial and temporal characteristics and influencing factors of coupling and coordination between science and technology innovation and green development in Hunan [J]. Journal of Central South University of Forestry Science and Technology, 2020, 14 (06): 50 - 56+65.

Meng Yan, Xu Jingzhen, Liu Luyu. An empirical study on the coupled development of science and technology innovation and green economy in Hebei Province [J]. Journal of North China University of Technology (Social Science Edition), 2022, 22 (01): 27 - 32.

Xue Mingyue. Study on the evolution and optimization of the spatial structure of China's eastern coastal urban agglomerations based on high-quality development [D]. Shandong Normal University, 2021.

Zhang Yingli, Zhou Huixiang. A study on the driving force of science and technology innovation and internal coordinated development in Guangdong, Hong Kong and Macao's Greater Bay Area - taking nine cities in the Pearl River Delta as an example [J]. Coastal Enterprises and Technology, 2022 (05): 10 - 17.