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自然地理因素对区域能源碳排放影响研究
Study on Nature Geographical Factors and Regional Energy-Related Carbon Emissions

DOI: 10.12677/JLCE.2020.92005, PP. 35-46

Keywords: 区域能源碳排放,自然地理因素,人均一次化石能源产量,影响差异性,弹性系数
Regional Energy-Related Carbon Emissions
, Nature Geographical Factors, Per Capita Primary Fossil Fuel Energy Production, Difference of Influence, Elasticities

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Abstract:

本文基于中国30个省份的面板数据,以人均一次化石能源产量为指标探索了自然地理因素对能源碳排放的影响规律。结果表明:①一次化石能源生产对全国及区域能源碳排放均有显著正向影响;②影响弹性系数随着社会经济的发展呈现某种变化趋势;③关注区域能源进出口政策对区域的低碳发展十分重要。在发展型高碳发展省份,人均GDP低但社会经济快速发展,影响弹性系数较高但随着经济增长而下降,应注重调整产业体系,提高减排技术,并控制一次化石能源的进口。在均衡型低碳发展省份,人均GDP处于国家平均水平之上,技术的发展进步是弹性系数下降的主要因素。在发达型低碳发展省份,经济发达,影响弹性系数增加,应注重改善化石能源进口结构,进口更多低碳排放系数的一次化石能源,增加公众的环境意识。资源型高碳发展省份作为特例,资源产量大,影响弹性系数较弱,当地政府应严格控制一次化石能源的开采与出口,根据当地发展水平合理制定减排目标。
Based on panel data of China’s 30 provinces in 2003-2014, an econometrics panel model was used to explore the effects of natural geographical factors, using per capita primary fossil fuel energy production as an indicator, on energy-related carbon emissions in Chinese provinces. The main findings were as follow. 1) Primary fossil fuel energy production significantly influenced energy-related carbon emissions both for the whole of China and for regions. 2) With the economic and social development, the carbon emission elasticities of natural geographical factors showed some trends. 3) It is important for the low-carbon development of areas to focus on the import and export of energy. In the economically developed low-carbon area, the elasticity of this influence was high, but decreased as the economy grew during rapid socioeconomic development. The province should concentrate on restructuring their industrial systems, improving techniques and controlling primary fossil fuel energy inputs for decreasing carbon emissions. In the balanced low-carbon area, technological development is a major factor for the decrease of the elasticity. In the developing high-carbon area, provinces should focus on improving the fossil fuel energy import structure to import more primary fossil fuel energy with low carbon emission coefficients. The elasticity of resource high-carbon area was weak, the local governments should develop policies to regulate primary fossil fuel exploration and export, and develop reasonable measures to mitigate energy-related carbon emissions considering local natural geographical factors.

References

[1]  张晓梅, 庄贵阳. 中国省际区域碳减排差异问题的研究进展[J]. 中国人口·资源与环境, 2015, 25(2): 135-143.
[2]  王芳, 周兴. 人口结构、城镇化与碳排放——基于跨国面板数据的实证研究[J]. 中国人口科学, 2012(2): 47-56.
[3]  张腾飞, 杨俊, 盛鹏飞. 城镇化对中国碳排放的影响及作用渠道[J]. 中国人口·资源与环境, 2016, 26(2): 47-57.
[4]  顾阿伦, 何崇恺, 吕志强. 基于LMDI方法分析中国产业结构变动对碳排放的影响[J]. 资源科学, 2016, 38(10): 1861-1870.
[5]  许士春, 习蓉, 何正霞. 中国能源消耗碳排放的影响因素分析及政策启示[J]. 资源科学, 2012, 34(1): 2-12.
[6]  张兵兵, 徐康宁, 陈庭强. 技术进步对二氧化碳排放强度的影响研究[J]. 资源科学, 2014, 36(3): 567-576.
[7]  Zhang, C. and Zhao, W. (2014) Panel Estimation for Income Inequality and CO2, Emissions: A Regional Analysis in China. Applied Energy, 136, 382-392.
https://doi.org/10.1016/j.apenergy.2014.09.048
[8]  Ye, B., Jiang, J., Li, C., et al. (2017) Quantification and Driving Force Analysis of Provincial-Level Carbon Emissions in China. Applied Energy, 198, 223-238.
https://doi.org/10.1016/j.apenergy.2017.04.063
[9]  胡艳兴, 潘竟虎, 王怡睿. 基于ESDA-GWR的1997-2012年中国省域能源消费碳排放时空演变特征[J]. 环境科学学报, 2015, 35(6): 1896-1906.
[10]  张彬, 姚娜, 刘学敏. 基于模糊聚类的中国分省碳排放初步研究[J]. 中国人口·资源与环境, 2011, 21(1): 53-56.
[11]  姜磊, 季民河. 基于空间异质性的中国能源消费强度研究——资源禀赋、产业结构、技术进步和市场调节机制的视角[J]. 产业经济研究, 2011, 2011(4): 61-70.
[12]  赵领娣, 杨明晔, 张磊. 能源禀赋与就业增长——基于省际面板数据的实证分析[J]. 资源科学, 2013, 35(9): 1801-1811.
[13]  吴海兵, 肖地楚, 王欣欣, 等. 基于固定效应模型的能源资源禀赋与产业结构关系研究[J]. 宏观经济研究, 2013(10): 59-66.
[14]  贺灿飞, 朱彦刚. 中国资源密集型产业地理分布研究——以石油加工业和黑色金属产业为例[J]. 自然资源学报, 2010, 25(3): 488-501.
[15]  Xu, X.L., Xu, X.F., Chen, Q., et al. (2016) The Research on Generalized Regional “Resource Curse” in China’s New Normal Stage. Resources Policy, No. 49, 12-49.
https://doi.org/10.1016/j.resourpol.2016.04.002
[16]  张翠菊, 张宗益. 能源禀赋与技术进步对中国碳排放强度的空间效应[J]. 中国人口·资源与环境, 2015, 25(9): 37-43.
[17]  Bai, H., Zhang, Y., Wang, H., et al. (2014) A Hybrid Method for Provincial Scale Energy-Related Carbon Emission Allocation in China. Environmental Science & Technology, 48, 2541-2550.
https://doi.org/10.1021/es404562e
[18]  白宏涛, 王会芝, 徐鹤. 我国省域碳排放差异性及其转型发展模式研究[J]. 经济地理, 2012, 32(12): 21-26.
[19]  Shuai, C., Shen, L., Jiao, L., et al. (2017) Identifying Key Impact Factors on Carbon Emission: Evidences from Panel and Time-Series Data of 125 Countries from 1990 to 2011. Applied Energy, 187, 310-325.
https://doi.org/10.1016/j.apenergy.2016.11.029
[20]  虞义华, 郑新业, 张莉. 经济发展水平、产业结构与碳排放强度——中国省级面板数据分析[J]. 经济理论与经济管理, 2011(3): 72-81.

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