产业转移背景下广东省工业碳排放的驱动因素及碳转移分析

doi:10.11821/dlyj020200916

摘要/Abstract

摘要：

随着全球气候变暖,工业碳排放量持续增加已成为全球关注的热点,由于工业产业升级和转移所引起的碳排放空间重塑也成为低碳发展研究的新方向。本文综合运用碳排放量物料平衡法及结构分解模型,核算2001—2017年广东省城市工业各行业的碳排放量,揭示其时空格局演变规律,同时在产业转移背景下,分析工业碳排放变化的驱动因素以及碳转移格局变化,以期从各市碳排放变化与市际间碳排放转移两个角度探讨低碳发展的有效策略。研究表明：2001—2017年期间,广东省的工业碳排放量整体呈现增加趋势,且地区差异也逐渐增大,呈现由中心向周边扩散的空间特征,由单核心演变为“T字型”的空间分布格局;工业产业发展带来的环境效应由经济规模、产业结构和技术强度综合决定,其中规模效应的作用强度最大、技术效应次之,结构效应的作用最弱;工业碳排放转移格局呈现由珠三角地区向外围转移的趋势,珠三角地区为高、中能耗工业碳排放主要转出地,粤东西北地区为高、中能耗工业碳排放主要转入地。

关键词: 产业转移, 工业碳排放, 时空格局, 驱动因素, 碳转移, 广东省

Abstract:

The continuous increase of industrial carbon emissions, one of the causes for global warming, has become a hot topic, which attracts wide attention in the world. At the same time, the spatial remodeling and differences of industrial carbon emissions are caused by industrial upgrades and transfers. Therefore, these topics have consisted of a new direction for research related with low-carbon city construction. This article uses methods, such as carbon emissions material balance method and structural decomposition model, to calculate the carbon emissions of various industries in Guangdong's cities at the prefecture level, from 2001 to 2017. Besides, this article analyzes the driving factors of industrial carbon emissions differences and explores the pattern of industrial transfer and its carbon transfer under the background of industrial transfer policies in Guangdong. With the above methods and models, the study found that, as a whole, industrial carbon emissions of the province showed an increasing trend, and regional differences gradually increased, which means that the gap among cities has enlarged during the period 2001-2017 in terms of industrial carbon emissions. The distribution pattern of industrial carbon emissions within the province showed that a trend of changing from spreading from a single core to the surroundings to eventually evolving into a “fractal T-shaped” pattern. The environmental effects brought by the development of the industrial industry are determined comprehensively by three factors, which are the economic scale, industrial structure, and technological strength. Among them, the scale effect has the largest influence, while the structure factor is rather weak. The technical effect can play a more important role in regions with low-carbon emission intensity. The Pearl River Delta region is the place where the main high-energy-consuming industries are transferred out, and the inter-annual change in carbon emissions is relatively large. The cities of eastern and western Guangdong are the main places where the medium-energy-consuming and high-energy-consuming industries are transferred in, and the inter-annual change in carbon emissions is small.

Key words: industrial transfer, industrial carbon emissions, spatiotemporal pattern, driving factor, carbon transfer, Guangdong province

王少剑, 田莎莎, 蔡清楠, 伍慧清, 吴璨熹. 产业转移背景下广东省工业碳排放的驱动因素及碳转移分析[J]. 地理研究, 2021, 40(9): 2606-2622.

WANG Shaojian, TIAN Shasha, CAI Qingnan, WU Huiqing, WU Canxi. Driving factors and carbon transfer of industrial carbon emissions in Guangdong province under the background of industrial transfer[J]. GEOGRAPHICAL RESEARCH, 2021, 40(9): 2606-2622.

图/表 14

表1

表2

图1

图2

图3

图4

表3

图5

图6

图7

图8

图9

表4

2001—2017年广东省部分城市工业产业转移及产值变化情况

城市	主要产业碳排放转入情况	主要产业碳排放转出情况
阳江	电力、热力的生产和供应业（+184.77）黑色金属冶炼及压延加工业（+172.03）非金属矿物制品业（+101.82）金属制品业（+75.74）有色金属冶炼及压延加工业（+72.36）	家具制造业（-11.76）饮料、烟草制造业（-7.04）纺织业（-6.90）通用设备制造业（-6.36）文教体育用品制造业（-1.24）
湛江	黑色金属冶炼及压延加工业（+643.87）造纸及纸制品业（+215.02）石油加工、炼焦及核燃料加工业（+162.90）非金属矿物制品业（+111.62）电气机械及器材制造业（+28.75）	电力、热力的生产和供应业（-97.42）农副食品加工业（-30.04）纺织业（-26.76）专用设备制造业（-15.31）交通运输设备制造业（-8.43）
中山	电力、热力的生产和供应业（+122.99）电气机械及器材制造业（+42.73）医药制造业（+18.56）通用设备制造业（+12.50）工艺品及其他制造业（+11.16）	非金属矿物制品业（-192.31）造纸及纸制品业（-89.66）金属制品业（-85.88）橡胶和塑料制品业（-77.79）化学原料及化学制品制造业（-54.73）
东莞	通信设备、计算机及其他电子设备制造业（+492.50）造纸及纸制品业（+430.06）橡胶和塑料制品业（+178.95）金属制品业（+96.60）电气机械及器材制造业（+94.63）	电力、热力的生产和供应业（-271.97）纺织业（-141.19）文教体育用品制造业（-27.84）水的生产和供应业（-26.43）非金属矿采选业（-2.72）
揭阳	黑色金属冶炼及压延加工业（+429.84）非金属矿物制品业（+423.52）纺织业（+294.50）纺织服装、鞋、帽制造业（+103.65）皮革、毛皮、羽毛（绒）及其制品业（+103.26）	工艺品及其他制造业（-1.83）交通运输设备制造业（-0.77）石油加工、炼焦及核燃料加工业（-0.01）
清远	非金属矿物制品业（+289.38）有色金属冶炼及压延加工业（+47.84）化学原料及化学制品制造业（+46.18）电力、热力的生产和供应业（+21.35）黑色金属冶炼及压延加工业（+17.01）	废弃资源和废旧材料回收加工业（-26.49）造纸及纸制品业（-21.64）通用设备制造业（-21.43）文教体育用品制造业（-5.14）通信设备、计算机及其他电子设备制造业（-4.82）

表4

图10

参考文献 38

[1]	IPCC. Summary for Policymakers of Climate Change: The Physical Science Basis. 2007 -06-30[2020-02-25]. https://www.ipcc.ch/pdf/assessment-report/ar4/wg1/ar4-wg1-spm.pdf.
[2]	梁尚龙. 清远市产业转型升级战略选择研究. 兰州: 兰州大学硕士学位论文, 2013: 7-9.
	[ Liang Shanglong. Qingyuan city industry transformation and upgrading of strategic choice. Lanzhou: Master Dissertation of Lanzhou University, 2013: 7-9.]
[3]	邓荣荣, 李亚芳. 中国中部区域承接国内产业转移进程中的碳排放转移测度. 产业经济评论（山东大学）, 2019, 18（3）:114-133.
	[ Deng Rongrong, Li Yafang. CO₂ Emissions transfer in central region induced by undertaking inter-regional industry transfer. Review of Industrial Economics （Shandong University）, 2019, 18（3）:114-133.]. DOI: CNKI: SUN:CYJP.0.2019-03-005. doi: CNKI: SUN:CYJP.0.2019-03-005.
[4]	许姣丽, 吴康梅, 邵诗敏. 粤港澳大湾区建设背景下江门主导产业的发展机遇与挑战. 广东经济, 2019, 28（2）:40-45.
	[ Xu Jiaoli, Wu Kangmei, Shao Shimin. Development opportunities and challenges of Jiangmen leading industries in the context of Guangdong-Hong Kong-Macao Greater Bay Area onstruction. Guangdong Economy, 2019, 28（2）:40-45.]. DOI: CNKI: SUN: GDJJ.0.2019-02-006. doi: CNKI: SUN: GDJJ.0.2019-02-006
[5]	陈文颖, 吴宗鑫. 碳排放权分配与碳排放权交易. 清华大学学报（自然科学版）, 1998, 84（12）: 16-19+23.
	[ Chen Wenying, Wu Zongxin. Carbon emission permit allocation and trading. Journal of Tsinghua University（Science and Technology）, 1998, 84（12）: 16-19+23.]. DOI: 10.16511/j.cnki.qhdxxb.1998.12.005. doi: 10.16511/j.cnki.qhdxxb.1998.12.005
[6]	查冬兰, 周德群. 地区能源效率与二氧化碳排放的差异性: 基于Kaya因素分解. 系统工程, 2007, 25（11）:65-71.
	[ Cha Donglan, Zhou Dequn. The inequality about provincial energy efficiency and its related CO₂ emission: Decomposition based on Kaya. System Engineering, 2007, 25（11）:65-71.]. DOI: 10.3969/j.issn.1001-4098.2007.11.012. doi: 10.3969/j.issn.1001-4098.2007.11.012
[7]	朱勤, 彭希哲, 陆志明, 等. 中国能源消费碳排放变化的因素分解及实证分析. 资源科学, 2009, 31（12）:2072-2079.
	[ Zhu Qin, Peng Xizhe, Lu Zhiming, et al. Factors decomposition and empirical analysis of variations in energy carbon emission in China. Resources Science, 2009, 31（12）:2072-2079.]. DOI: CNKI:SUN:ZRZY.0.2009-12-011. doi: CNKI:SUN:ZRZY.0.2009-12-011
[8]	王少剑, 苏泳娴, 赵亚博. 中国城市能源消费碳排放的区域差异、空间溢出效应及影响因素. 地理学报, 2018, 73（3）:414-428. doi: 10.11821/dlxb201803003
	[ Wang Shaojian, Su Yongxian, Zhao Yabo. Regional inequality, spatial spillover effects and influencing factors of China's city-level energy-related carbon emissions. Acta Geographica Sinica, 2018, 73（3）:414-428.]. DOI: 10.11821/dlxb201803003. doi: 10.11821/dlxb201803003
[9]	王少剑, 高爽, 黄永源, 等. 基于超效率SBM模型的中国城市碳排放绩效时空演变格局及预测. 地理学报, 2020, 75（6）:1316-1330. doi: 10.11821/dlxb202006016
	[ Wang Shaojian, Gao Shuang, Huang Yongyuan, et al. Spatio-temporal evolution and trend prediction of urban carbon emission performance in China based on super-efficiency SBM model. Acta Geographica Sinica, 2020, 75（6）:1316-1330.]. DOI: 10.11821/dlxb202006016. doi: 10.11821/dlxb202006016
[10]	杨骞, 刘华军. 中国二氧化碳排放的区域差异分解及影响因素: 基于1995-2009年省际面板数据的研究. 数量经济技术经济研究, 2012, 29（5）: 36-49+148.
	[ Yang Qian, Liu Huajun. Regional difference decomposition and influence factors of China's carbon dioxide emissions. The Journal of Quantitative & Technical Economics, 2012, 29（5）: 36-49+14. ].DOI: 10.13653/j.cnki.jqte.2012.05.005. doi: 10.13653/j.cnki.jqte.2012.05.005
[11]	李平星, 曹有挥. 产业转移背景下区域工业碳排放时空格局演变: 以泛长三角为例. 地球科学进展, 2013, 28（8）:939-947.
	[ Li Pingxing, Cao Youhei. Spatial and temporal changes of industrial carbon emissions under regional industrial transfer: The case of Pan-Yangtze River Delta. Advances in Earth Science, 2013, 28（8）:939-947.]. DOI: CNKI:SUN:DXJZ.0.2013-08-012. doi: CNKI:SUN:DXJZ.0.2013-08-012
[12]	王少剑, 刘艳艳, 方创琳. 能源消费CO₂排放研究综述. 地理科学进展, 2015, 34（2）:151-164. doi: 10.11820/dlkxjz.2015.02.004
	[ Wang Shaojian, Liu Yanyan, Fang Chuanglin. Review of energy-related CO₂ emission in response to climate change. Advances in Earth Science, 2015, 34（2）:151-16.]. DOI: 10.11820/dlkxjz.2015.02.004. doi: 10.11820/dlkxjz.2015.02.004
[13]	王锋, 吴丽华, 杨超. 中国经济发展中碳排放增长的驱动因素研究. 经济研究, 2010, 45（2）:123-136.
	[ Wang Feng, Wu Lihua, Yang Chao. Driving factors for growth of carbon dioxide emissions during economic development in China. Economic Research Journal, 2010, 45（2）:123-136.]. DOI: CNKI:SUN:JJYJ.0.2010-02-011. doi: CNKI:SUN:JJYJ.0.2010-02-011
[14]	李汝勇. 基于系统动力学的北京市能源消耗碳排放系统仿真分析. 成都: 西南交通大学硕士学位论文, 2016: 1-42.
	[ Li Ruyong. Simulation analysis of energy consumption carbon emission system of Beijing city based on system dynamics. Chengdu: Master Dissertation of Southwest Jiaotong University, 2016: 1-42.]
[15]	朱宇恩, 李丽芬, 贺思思, 等. 基于IPAT模型和情景分析法的山西省碳排放峰值年预测. 资源科学, 2016, 38（12）:2316-2325.
	[ Zhu Yuen, Li Lifen, He Sisi, et al. Peak year prediction of Shanxi province's carbon emissions based on IPAT modeling and scenario analysis. Resources Science, 2016, 38（12）:2316-2325.]. DOI: CNKI:SUN:ZRZY.0.2016-12-011. doi: CNKI:SUN:ZRZY.0.2016-12-011
[16]	孙颖, 刘宁宁. 工业化、城市化与地区碳排放强度: 基于STIRPAT模型的省际面板数据分析. 改革与开放, 2019, 28（17）:16-20.
	[ Sun Ying, Liu Ningning. Industrialization, urbanization and regional carbon emission intensity: An analysis of provincial panel data based on STIRPAT model. Reform & Openning, 2019, 28（17）:16-20.]. DOI: 10.16653/j.cnki.32-1034/f.2019.017.005. doi: 10.16653/j.cnki.32-1034/f.2019.017.005
[17]	彭连清, 詹向阳. 沿海地区产业转移与欠发达地区农村劳动力转移模式的演变: 以珠三角为例. 当代经济研究, 2007, 18（5）:48-51.
	[ Peng Lianqing, Zhan Xiangyang. Industrial transfer in coastal areas and evolution of rural labor transfer mode in underdeveloped areas: A case study of the Pearl River Delta. Contemporary Economic Research, 2007, 18（5）:48-51.]. DOI: CNKI:SUN:DDJJ.0.2007-05-012. doi: CNKI:SUN:DDJJ.0.2007-05-012
[18]	Dijk J V, Pellenbarg P H. Firm relocation decisions in the Netherlands: An ordered logit approach. Papers in Regional Ence, 2010, 79（2）:191-219. DOI: 10.1111/j.1435-5597.2000.tb00768.x. doi: 10.1111/j.1435-5597.2000.tb00768.x
[19]	豆建民, 沈艳兵. 产业转移对中国中部地区的环境影响研究. 中国人口·资源与环境, 2014, 24（11）:96-102.
	[ Dou Jianmin, Shen Yanbing. On the influence of the industrial transfer on the environment in the central region of China. China Population, Resources and Environment, 2014, 24（11）:96-102.]. DOI: 10.3969/j.issn.1002-2104.2014.11.013. doi: 10.3969/j.issn.1002-2104.2014.11.013
[20]	张公嵬, 梁琦. 产业转移与资源的空间配置效应研究. 产业经济评论, 2010, 9（3）:1-21.
	[ Zhang Gongwei, Liang Qi. The study of industry transfer and the spacial allocative effect of resources. Review of Industrial Economics, 2010, 9（3）:1-21.]. DOI: CNKI: SUN: CYJP.0.2010-03-002. doi: CNKI: SUN: CYJP.0.2010-03-002
[21]	刘红光, 刘卫东, 刘志高. 区域间产业转移定量测度研究. 中国工业经济, 2011, 29（6）:79-88.
	[ Liu Hongguang, Liu Weidong, Liu Zhigao. The quantitative study on inter-regional industry transfer. China Industrial Economics, 2011, 29（6）:79-88.]. DOI: 10.19581/j.cnki.ciejournal.2011.06.008. doi: 10.19581/j.cnki.ciejournal.2011.06.008
[22]	成艾华, 赵凡. 基于偏离份额分析的中国区域间产业转移与污染转移的定量测度. 中国人口·资源与环境, 2018, 28（5）:49-57.
	[ Cheng Aihua, Zhao Fan. Quantitative measure on inter-regional industry transfer and pollution transfer based on the idea of shift share analysis. China Population, Resources and Environment, 2018, 28（05）:49-57.]. DOI: CNKI:SUN:ZGRZ.0.2018-05-006. doi: CNKI:SUN:ZGRZ.0.2018-05-006
[23]	贺灿飞, 周沂, 张腾. 中国产业转移及其环境效应研究. 城市与环境研究, 2014, 1（1）:34-49.
	[ He Canfei, Zhou Yi, Zhang Teng. Industrial transfer and its environmental effect in China. Urban and Environmental Studies, 2014, 1（1）:34-49.]. DOI: CNKI:SUN:CSHY.0.2014-01-004. doi: CNKI:SUN:CSHY.0.2014-01-004
[24]	成艾华. 技术进步、结构调整与中国工业减排: 基于环境效应分解模型的分析. 中国人口·资源与环境, 2011, 21（3）:41-47.
	[ Cheng Aihua. Technological progress, structural readjustment and pollution reduction for the industry in China. China Population, Resources and Environment, 2011, 21（3）:41-47.]. DOI: CNKI:SUN:ZGRZ.0.2011-03-007. doi: CNKI:SUN:ZGRZ.0.2011-03-007
[25]	程叶青, 王哲野, 叶信岳, 等. 中国能源消费碳排放强度及其影响因素的空间计量. 地理学报, 2013, 68（10）:1418-1431. doi: 10.11821/dlxb201310011
	[ Cheng Yeqing, Wang Zheye, Ye Xinyue, et al. Spatial econometric analysis of carbon emission intensity and its driving factors from energy consumption in China. Acta Geographica Sinica, 2013, 68（10）:1418-143.]. DOI: CNKI:SUN:DLXB.0.2013-10-012. doi: 10.11821/dlxb201310011
[26]	齐志新, 陈文颖. 结构调整还是技术进步?: 改革开放后中国能源效率提高的因素分析. 上海经济研究, 2006, 25（6）:8-16.
	[ Qi Zhixin, Chen Wenying. Structural adjustment or technological progress? An analysis of the factors of improving China's energy efficiency after reform and opening up. Shanghai Journal of Economics, 2006, 25（6）:8-16.]. DOI: 10.19626/j.cnki.cn31-1163/f.2006.06.002. doi: 10.19626/j.cnki.cn31-1163/f.2006.06.002
[27]	Gene M Grossman, Alan B Krueger. Economic growth and the environment. Quarterly Journal of Economics, 1995, 110（2）:353-377. DOI: doi.org/10.2307/2118443. doi: doi.org/10.2307/2118443
[28]	黄焕玲. 基于GIS的广东省区域经济差异时空演变特征研究. 新经济, 2020, 39（1）:47-55.
	[ Huang Huanling. Study on spatial and temporal evolution characteristics of regional economic differences in Guangdong province Based on GIS. New Economy, 2020, 39（1）:47-55.]. DOI: CNKI:SUN:XJJB.0.2020-01-016. doi: CNKI:SUN:XJJB.0.2020-01-016
[29]	孙根年. 基于节能-减排的中国工业行业分类研究. 商丘师范学院学报, 2008, 24（3）:7-12.
	[ Sun Gennian. A study of industrial classification based on the energy conservation and pollution reduction in China. Journal of Shangqiu Normal University, 2008, 24（3）:7-12.]. DOI: 10.3969/j.issn.1672-3600.2008.03.002. doi: 10.3969/j.issn.1672-3600.2008.03.002
[30]	孙波. 珠三角与粤北地区产业结构差异与产业合作研究. 深圳: 深圳大学硕士学位论文, 2018: 52-67.
	[ Sun Bo. Industrial structure difference and industrial cooperation between Pearl River Delta and Northern Guangdong. Shenzhen: Master Dissertation of Shenzhen University, 2018: 52-67.]
[31]	涂正革, 谌仁俊. 工业化、城镇化的动态边际碳排放量研究: 基于LMDI“两层完全分解法”的分析框架. 中国工业经济, 2013, 27（9）:31-43.
	[ Tu Zhengge, Chen Renjun. Industrialization's, urbanization's dynamic marginal carbon emissions: The analytical framework based on LMDI “Two-Level Perfect Decomposition” method. China Industrial Economics, 2013, 27（9）:31-43.]. DOI: 10.19581/j.cnki.ciejournal.2013.09.004. doi: 10.19581/j.cnki.ciejournal.2013.09.004
[32]	王少剑, 黄永源. 中国城市碳排放强度的空间溢出效应及驱动因素. 地理学报, 2019, 74（6）:1131-1148. doi: 10.11821/dlxb201906005
	[ Wang Shaojian, Huang Yongyuan. Spatial spillover effect and driving forces of carbon emission intensity at city level in China. Acta Geographica Sinica, 2019, 74（6）:1131-1148.]. DOI: 10.11821/dlxb201906005. doi: 10.11821/dlxb201906005
[33]	李廉水, 周勇. 技术进步能提高能源效率吗?: 基于中国工业部门的实证检验. 管理世界, 2006, 22（10）:82-89.
	[ Li Lianshui, Zhou Yong. Can technological advance improve energy effect: A empirical study based on industrial sectors in China. Management World, 2006, 22（10）:82-89.]. DOI: 10.19744/j.cnki.11-1235/f.2006.10.010. doi: 10.19744/j.cnki.11-1235/f.2006.10.010
[34]	谢锐, 王振国, 张彬彬. 中国碳排放增长驱动因素及其关键路径研究. 中国管理科学, 2017, 25（10）:119-129.
	[ Xie Rui, Wang Zhenguo, Zhang Binbin. Study on driving factors and critical supply chain paths of CO₂ emissions in China. Chinese Journal of Management Science, 2017, 25（10）:119-129.]. DOI: 10.16381/j.cnki.issn1003-207x.2017.10.013. doi: 10.16381/j.cnki.issn1003-207x.2017.10.013
[35]	许树辉. 广东欠发达地区产业结构升级的空间分异研究: 基于2001-2013年的时间序列数据分析. 世界地理研究, 2016, 25（3）:115-124.
	[ Xu Shuhui. Study on the spatial distribution of the industrial structure upgrading in the less developed regions of Guangdong province: Based on 2001-2013 time series data. World Regional Studies, 2016, 25（3）:115-124.]. DOI: 10.3969/j.issn.1004-9479.2016.03.013. doi: 10.3969/j.issn.1004-9479.2016.03.013
[36]	高怡冰. 产业园区培育现代产业集群的对策研究: 以广东产业转移工业园为例. 新经济, 2017, 24（12）:43-50.
	[ Gao Yibing. Research on the countermeasures of cultivating modern industrial clusters in industrial parks: Taking Guangdong industrial transfer industrial park as an example. New Economy, 2017, 24（12）:43-50.]. DOI: 10.3969/j.issn.1009-8461.2017.12.011. doi: 10.3969/j.issn.1009-8461.2017.12.011
[37]	左伟, 周锦源. “双转移”策略下佛山陶瓷产业转移现状与对策研究. 当代经济, 2009, 16（16）:96-97.
	[ Zuo Wei, Zhou Jinyuan. Research on the status quo and countermeasures of Foshan ceramic industry transfer under the "Double Transfer" strategy. Contemporary Economics, 2009, 16（16）:96-97.]. DOI: 10.3969/j.issn.1007-9378.2009.16.049. doi: 10.3969/j.issn.1007-9378.2009.16.049
[38]	张林, 陈珍涛. 产业政策对产业升级、经济增长的影响: 以清远市2001-2017年数据为例. 清远职业技术学院学报, 2020, 13（1）:21-26.
	[ Zhang Lin, Chen Zhentao. Research on the impact of industrial policy on industrial upgrading and economic growth: Taking the data of Qingyuan city from 2001 to 2017 as an example. Journal of Qingyuan Polytechnic, 2020, 13（1）:21-26.]. DOI: CNKI:SUN:QYZJ.0.2020-01-006. doi: CNKI:SUN:QYZJ.0.2020-01-006

能源	NCV（kJ/kg）	CEF（kgC/100万kJ）
原煤	20908	25.8
焦炭	28435	29.2
汽油	43070	18.9
煤油	43070	19.5
柴油	42652	20.2
燃料油	41816	21.1
液化石油气	50179	17.2
其他石油制品	9800	20.0
天然气（气态,单位万m³）	38931	15.3
洗精煤	26344	25.8
其他洗煤	8363	25.8
原油	41816	20.0
炼厂干气	46055	15.7
焦炉煤气	16726	12.1
型煤	20700	26.6
其他煤气	15054	12.1
其他焦化产品	28345	25.8

能源	CORC
煤制品	0.5286kgC/kg
发生炉煤气	0.1786kgC/m³
液化天然气	1.7572kgC/kg
石油沥青	1.3307kgC/kg
高炉煤气	0.1286kgC/m³
转炉煤气	0.2714kgC/m³
煤矸石	0.2857kgC/kg
城市生活垃圾	0.2714kgC/kg
余热余压	0.0341tC/10⁶kJ
工业废料	0.4285kgC/kg
蔗渣	0.5000kgC/kg

	产值增长（亿元）				环境效应（万t）
年份	2001—2005	2005—2009	2009—2013	2013—2017	2001—2005	2005—2009	2009—2013	2013—2017
阳江	136.78	290.78	1059.52	170.09	111.02	74.01	62.78	24.08
湛江	362.24	384.55	1005.26	630.65	239.76	387.92	297.00	-195.51
珠海	907.28	835.46	1021.84	447.15	678.25	336.20	145.61	115.12
深圳	6787.89	5548.71	7637.13	9050.34	2465.37	1707.07	964.39	378.44
云浮	9.90	170.55	461.12	-196.71	153.97	102.12	74.92	-82.97
韶关	230.47	205.87	560.79	-61.31	516.76	266.78	86.65	-363.87
东莞	2900.53	2131.03	4951.93	6603.02	1082.06	1139.43	561.99	98.36
汕头	436.47	769.73	946.45	1039.40	304.33	273.85	152.37	-66.85
惠州	720.56	1576.49	3600.16	1561.63	517.84	262.55	187.29	263.32
河源	140.06	422.59	535.42	205.84	101.51	122.09	59.36	61.71
江门	508.88	1480.03	174.60	1052.58	770.07	704.26	267.30	-34.20
佛山	2998.51	6930.41	5410.61	3892.99	2101.24	2363.98	1216.82	12.69
汕尾	80.02	206.12	648.53	119.78	32.90	30.67	20.83	-26.73
肇庆	-108.86	857.84	2227.38	-470.45	457.38	65.14	-133.65	387.86
中山	1537.04	1836.51	1615.78	-756.88	617.19	777.14	224.69	22.53
潮州	201.66	287.34	507.22	264.27	193.32	144.85	179.26	-97.68
广州	3202.91	5344.65	5791.84	511.07	2894.80	2756.37	964.72	392.44
梅州	123.51	144.12	216.91	56.32	158.05	113.84	76.21	-26.46
揭阳	149.18	854.47	2438.65	1187.39	87.74	132.24	68.01	12.48
茂名	296.58	396.10	1048.01	533.11	428.41	1016.81	30.92	108.68
清远	287.04	1659.76	-591.67	161.43	138.02	208.46	434.10	-79.51
合计	21908.65	32333.11	41267.48	26001.71	14050	12985.50	5941.57	903.93

城市	主要产业碳排放转入情况	主要产业碳排放转出情况
阳江	电力、热力的生产和供应业（+184.77）黑色金属冶炼及压延加工业（+172.03）非金属矿物制品业（+101.82）金属制品业（+75.74）有色金属冶炼及压延加工业（+72.36）	家具制造业（-11.76）饮料、烟草制造业（-7.04）纺织业（-6.90）通用设备制造业（-6.36）文教体育用品制造业（-1.24）
湛江	黑色金属冶炼及压延加工业（+643.87）造纸及纸制品业（+215.02）石油加工、炼焦及核燃料加工业（+162.90）非金属矿物制品业（+111.62）电气机械及器材制造业（+28.75）	电力、热力的生产和供应业（-97.42）农副食品加工业（-30.04）纺织业（-26.76）专用设备制造业（-15.31）交通运输设备制造业（-8.43）
中山	电力、热力的生产和供应业（+122.99）电气机械及器材制造业（+42.73）医药制造业（+18.56）通用设备制造业（+12.50）工艺品及其他制造业（+11.16）	非金属矿物制品业（-192.31）造纸及纸制品业（-89.66）金属制品业（-85.88）橡胶和塑料制品业（-77.79）化学原料及化学制品制造业（-54.73）
东莞	通信设备、计算机及其他电子设备制造业（+492.50）造纸及纸制品业（+430.06）橡胶和塑料制品业（+178.95）金属制品业（+96.60）电气机械及器材制造业（+94.63）	电力、热力的生产和供应业（-271.97）纺织业（-141.19）文教体育用品制造业（-27.84）水的生产和供应业（-26.43）非金属矿采选业（-2.72）
揭阳	黑色金属冶炼及压延加工业（+429.84）非金属矿物制品业（+423.52）纺织业（+294.50）纺织服装、鞋、帽制造业（+103.65）皮革、毛皮、羽毛（绒）及其制品业（+103.26）	工艺品及其他制造业（-1.83）交通运输设备制造业（-0.77）石油加工、炼焦及核燃料加工业（-0.01）
清远	非金属矿物制品业（+289.38）有色金属冶炼及压延加工业（+47.84）化学原料及化学制品制造业（+46.18）电力、热力的生产和供应业（+21.35）黑色金属冶炼及压延加工业（+17.01）	废弃资源和废旧材料回收加工业（-26.49）造纸及纸制品业（-21.64）通用设备制造业（-21.43）文教体育用品制造业（-5.14）通信设备、计算机及其他电子设备制造业（-4.82）