碳生产力区域发展差异及驱动因素：广东省21个地级市实证

王霄; 李易熹; 许鸿伟; 廖程浩; 张永波; 彭莎

doi:10.13198/j.issn.1001-6929.2023.08.18

碳生产力区域发展差异及驱动因素：广东省21个地级市实证

doi: 10.13198/j.issn.1001-6929.2023.08.18

王霄^{1, 2,},
李易熹^{1, 2},
许鸿伟^{1, 2},
廖程浩^{1, 2, ,},
张永波^{1, 2},
彭莎³

1.
广东省环境科学研究院，广东广州　510045
2.
粤港澳生态环境科学中心碳中和与应对气候变化实验室，广东广州　510555
3.
湖北经济学院，碳排放权交易省部共建协同创新中心，湖北武汉　430205

基金项目: 广东省环保专项资金项目(No.粤财资环[2023]12号)

详细信息

作者简介:
王霄（1996-），男，贵州贵阳人，工程师，硕士，主要从事大气污染防治与温室气体排放协同研究，gdaes_wx@yeah.net

通讯作者:
廖程浩(1984-)，男，广东梅州人，正高级工程师，硕士，主要从事大气污染防控政策研究，279063306@qq.com

中图分类号: X24
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- 被引次数: 0
出版历程
- 收稿日期: 2023-07-07
- 修回日期: 2023-08-15
- 网络出版日期: 2023-08-31

Regional Disparities in Carbon Productivity and Driving Factors: Empirical Evidence from 21 Cities in Guangdong Province

WANG Xiao^{1, 2
,},
LI Yixi^{1, 2},
XU Hongwei^{1, 2},
LIAO Chenghao^{1, 2
, ,},
ZHANG Yongbo^{1, 2},
PENG Sha³

1.
Guangdong Provincial Academy of Environmental Sciences, Guangzhou 510045, China
2.
Laboratory of Carbon Neutrality and Climate Change, Eco-Environmental Sciences Center of Guangdong-Hong Kong-Macao, Guangzhou 510555, China
3.
Collaborative Innovation Center for Emissions Trading System Co-Constructed by the Province and Ministry, Hubei University of Economics, Wuhan 430205, China

Funds: Special Fund Project for Environmental Protection of Guangdong Province, China (No.2023-12)

摘要

摘要: 碳生产力的定义是单位碳排放的经济产出，有机结合了低碳和经济两个目标，在国土空间规划中考虑碳生产力因素，有助于推进生态文明建设，引导城市绿色低碳发展. 选取城市发展差异较大的广东省作为样本，对碳生产力区域发展差异进行研究，通过结构分解分析考察不同城市先进制造业产值、城镇化率、能源清洁化程度和能源结构等因素对碳生产力的影响. 结果表明：①2019年广东省碳生产力分布呈现出珠三角地区较高并向周围辐射递减的态势，区域间和城市间碳生产力发展不平衡现象明显. 碳生产力排名前4位的城市与2010年保持一致，分别为深圳市、中山市、佛山市和广州市. ②广东省各地级市交通用地碳生产力水平较低，批发零售、住宿餐饮等其他服务业用地碳生产力水平较高，不同地区工业用地碳生产力存在差异. ③先进制造业和能源结构是对碳生产力影响较大的两个主要因素，深圳市、佛山市和东莞市的先进制造业发展驱动当地碳生产力提升，而能源结构改善驱动了中山市、深圳市和江门市的碳生产力提升. ④相较于其他主要驱动因素，城镇化效应对碳生产力的影响较小. 研究显示，碳生产力发展差异在广东省不同地区和城市间普遍存在，驱动碳生产力变化的主导因素在不同城市展现出的效果和强度也有所不同.
- 碳生产力 /
- 区域不平衡 /
- 驱动因素 /
- 国土空间 /
- 广东省
Abstract: The definition of carbon productivity is the economic output per unit of carbon emissions, which combines the objectives of low carbon and economic development. Considering carbon productivity factors in land spatial planning helps to promote ecological civilization and guide green and low carbon urban development. This study takes Guangdong Province, a region with significant urban development disparities, as a sample to investigate the regional disparities in carbon productivity. Through structural decomposition analysis, the impact of advanced manufacturing output, urbanization rate, clean energy level, energy structure and other factors on carbon productivity is examined. The results indicated that: (1) In 2019, carbon productivity distribution in Guangdong Province showed a decreasing trend from the Pearl River Delta to the surrounding areas, and there were significant regional and urban disparities in carbon productivity development. The top four cities in carbon productivity remained the same as in 2010, namely Shenzhen, Zhongshan, Foshan, and Guangzhou. (2) The carbon productivity level of transportation land was relatively low in all municipalities of Guangdong Province, while wholesale and retail, accommodation, and catering sectors showed higher levels of carbon productivity. Industrial land use exhibited variations in carbon productivity across different regions. (3) Advanced manufacturing and energy structure are the two main factors influencing carbon productivity. The development of advanced manufacturing improved the carbon productivity in Shenzhen, Foshan and Dongguan, while the upgrade of energy structure improved the carbon productivity in Zhongshan, Shenzhen and Jiangmen. (4) Compared to other major driving factors, the impact of urbanization on carbon productivity is relatively small. The results showed that carbon productivity differences existed widely in areas and cities of Guangdong Province, and the main factors causing changes in carbon productivity show different impacts in different cities and the strengths were diverse.
- carbon productivity /
- regional imbalance /
- driving factors /
- territorial spatial /
- Guangdong Province

HTML全文

图 1 2010年和2019年广东省各地级市GDP及碳生产力

Figure 1. GDP and carbon productivity of cities in Guangdong Province in 2010 and 2019

下载: 全尺寸图片幻灯片

图 2 广东省各地级市不同用地类型碳生产力

Figure 2. Carbon productivity of different land use types in cities of Guangdong Province

下载: 全尺寸图片幻灯片

图 3 2010—2019年广东省各地级市碳生产力变化驱动因素

Figure 3. Driving factors of changes in carbon productivity in cities of Guangdong Province from 2010 to 2019

下载: 全尺寸图片幻灯片

表 1 2010—2019年广东省地级市碳生产力排名变化

Table 1. The ranking changes in carbon productivity among cities in Guangdong Province from 2010 to 2019

地级市	碳生产力排名		碳生产力排名变化
地级市	2010年	2019年	碳生产力排名变化
深圳市	1	1	—
中山市	2	2	—
佛山市	3	3	—
广州市	4	4	—
茂名市	5	6	降1名
珠海市	6	5	升1名
惠州市	7	9	降2名
肇庆市	8	11	降3名
揭阳市	9	10	降1名
湛江市	10	19	降9名
汕尾市	11	16	降5名
东莞市	12	8	升4名
江门市	13	7	升6名
阳江市	14	13	升1名
汕头市	15	12	升3名
河源市	16	14	升2名
潮州市	17	17	—
云浮市	18	18	—
清远市	19	15	升4名
韶关市	20	21	降1名
梅州市	21	20	升1名

下载: 导出CSV

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