School of Economics, Beijing Technology and Business University, Beijing 100048, China.
J Environ Public Health. 2022 Aug 31;2022:8935743. doi: 10.1155/2022/8935743. eCollection 2022.
The current and long-term regional economic imbalance in China requires ongoing attention. To ensure the balanced development of China's renewable energy, it is therefore important to examine the causes of the differences in China's renewable energy from a variety of perspectives. The spatial distribution pattern and characteristics of China's per capita GDP (gross domestic product) from 2012 to 2021 were examined in this study using the exploratory spatial data analysis tool. In addition, it conducts an empirical investigation into the spatial spillover effect of RED and the manufacturing agglomeration in China (regional economic development). The findings indicate that in the eastern region, the total backward link value of the feedback effect of 17 industrial sectors is 0.8524, and in the central region, the value is 0.8139. The real per capita GDP of neighboring provinces will increase by 0.118% for every 1% increase in manufacturing agglomeration level. According to the overall ranking, China's RED level is very uneven due to a number of factors. We should direct and encourage the manufacturing industry to congregate in various regions, optimize the spatial pattern of manufacturing industry agglomeration, and fully exploit SSE in order to promote China's RED and reduce the difference in RE.
中国当前和长期的区域经济不平衡需要持续关注。为了确保中国可再生能源的平衡发展，因此，从多个角度研究中国可再生能源差异的原因非常重要。本研究采用探索性空间数据分析工具，检验了 2012 年至 2021 年中国人均 GDP（国内生产总值）的空间分布格局和特征。此外，它还对中国可再生能源（区域经济发展）与制造业集聚的空间溢出效应进行了实证研究。研究结果表明，在东部地区，17 个工业部门反馈效应的总后向联系值为 0.8524，而在中部地区，该值为 0.8139。制造业集聚水平每提高 1%，相邻省份的实际人均 GDP 将增加 0.118%。根据综合排名，由于多种因素，中国的可再生能源发展水平极不均衡。我们应该引导和鼓励制造业在各个地区聚集，优化制造业集聚的空间格局，充分利用空间溢出效应，以促进中国的可再生能源发展，减少可再生能源的差异。
