The relationship between economic growth and carbon emissions based on the combination of graph neural network and wavelet transform

Q2 Energy
Sen Wang
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引用次数: 0

Abstract

The purpose of this study is to explore the impact of dynamic adaptation of corporate innovation culture and market demand on corporate sustainable development and the differences in corporate types and regions. The research sample covers 150 listed companies and 100 non-listed companies in eight industries and three economic regions: the eastern coastal area, the rise of central China, and the development of the western region from 2015 to 2020. The theoretical framework is constructed using the system dynamics model, and the empirical methods of multivariate regression analysis such as ordinary least squares, fixed effect model, and instrumental variable method are used for research. The main findings include that there is a significant positive synergistic relationship between corporate innovation culture and market demand, and there are differences in development models among enterprises of different types and regions. These results have important policy implications and can provide reference for the National Development and Reform Commission, the Ministry of Industry and Information Technology and other relevant departments to formulate policies such as industrial guidance and innovation incentives, help enterprises achieve sustainable development, and enhance the competitiveness of the national industry.

基于图神经网络与小波变换相结合的经济增长与碳排放关系研究
本研究旨在探讨企业创新文化和市场需求的动态适应对企业可持续发展的影响,以及企业类型和地区的差异。研究样本涵盖了2015 - 2020年东部沿海地区、中部崛起地区和西部大开发地区三大经济区、八大行业的150家上市公司和100家非上市公司。运用系统动力学模型构建理论框架,运用普通最小二乘、固定效应模型、工具变量法等多元回归分析的实证方法进行研究。研究的主要发现包括:企业创新文化与市场需求之间存在显著的正协同关系,不同类型、不同地区的企业在发展模式上存在差异。研究结果具有重要的政策意义,可为国家发改委、工业和信息化部等相关部门制定产业引导、创新激励等政策,帮助企业实现可持续发展,提升民族产业竞争力提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy Informatics
Energy Informatics Computer Science-Computer Networks and Communications
CiteScore
5.50
自引率
0.00%
发文量
34
审稿时长
5 weeks
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