Suppr超能文献

区域碳排放强度与绿色产业发展的相关性分析——以成渝地区为例

Correlation analysis of regional carbon emission intensity and green industry development-A case study of Chengdu-Chongqing region.

作者信息

Cao Jiaqi, Wang Siying, Fan Xinyue, Yang Xiaoyi, Zheng Huangyuying

机构信息

Geomathematics Key Laboratory of Sichuan Province (Chengdu University of Technology), Chengdu, 610059, China.

College of Mathematics and Physics, Chengdu University of Technology, Chengdu, 610059, China.

出版信息

Heliyon. 2023 Oct 28;9(11):e21683. doi: 10.1016/j.heliyon.2023.e21683. eCollection 2023 Nov.

Abstract

Industrial structure markedly affects the level of carbon emissions generated in a region. It is imperative to study the industrial structure of the Chengdu-Chongqing region to obtain information to achieve regional high-quality development by promoting low-carbon development. We selected 16 cities in Chengdu-Chongqing area as the research object in this study. The total carbon emissions (CE), carbon intensity (CI) and per capita carbon emissions (PCE) were calculated for each city. The green industry development (GI) evaluation indexes were then extracted, and the comprehensive evaluation value was determined using the entropy weight-TOPSIS model (EWM-TOPSIS). The green industry development was used as the core explanatory variable to construct a system representing the dynamic relationship between green industry development and carbon intensity using the quantile regression (QR) model. The results of the study showed that: (1) the total carbon emissions of Chengdu-Chongqing region increased whereas the carbon intensity decreased from 2010 to 2020. (2) The green industry development evaluation results showed that Chengdu-Chongqing had unevenly distributed green industry development during the study period, and Chengdu and Chongqing cities had higher green industry development values than other cities. (3) The green industry development of the region had a significant negative effect on carbon intensity at low quantile and a significant positive effect on carbon intensity at high quantile. Energy supply (ES) was positively correlated with the carbon intensity of the region at 1 % level of significance, whereas urbanization rate (U) and power consumption (PEC) were negatively correlated with the carbon intensity at 1 % level of significance. We comprehensively evaluated the development of green industry and introduced it as a core explanatory variable into the quantile regression model to explore the relationship between regional carbon emission intensity and industrial development. The results provide a reference for designing strategies to promote high-quality development in the cities in the Chengdu-Chongqing region.

摘要

产业结构显著影响一个地区产生的碳排放水平。研究成渝地区的产业结构,以获取通过促进低碳发展实现区域高质量发展的信息势在必行。本研究选取成渝地区16个城市作为研究对象。计算了每个城市的碳排放总量(CE)、碳强度(CI)和人均碳排放量(PCE)。然后提取绿色产业发展(GI)评价指标,并使用熵权-TOPSIS模型(EWM-TOPSIS)确定综合评价值。以绿色产业发展为核心解释变量,运用分位数回归(QR)模型构建一个表示绿色产业发展与碳强度之间动态关系的系统。研究结果表明:(1)2010年至2020年,成渝地区碳排放总量增加而碳强度下降。(2)绿色产业发展评价结果表明,研究期间成渝地区绿色产业发展分布不均,成都和重庆两市的绿色产业发展值高于其他城市。(3)该地区绿色产业发展在低分位数下对碳强度有显著负向影响,在高分位数下对碳强度有显著正向影响。能源供应(ES)与该地区碳强度在1%显著性水平上呈正相关,而城市化率(U)和电力消费(PEC)与碳强度在1%显著性水平上呈负相关。我们对绿色产业发展进行了综合评价,并将其作为核心解释变量引入分位数回归模型,以探讨区域碳排放强度与产业发展之间的关系。研究结果为设计促进成渝地区城市高质量发展的策略提供了参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fc3/10632525/612e7a3772b5/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验