Analysis of the Driving Factors of Carbon Emissions and Countermeasures for Carbon Emission Reduction in Hebei Province

doi:10.5814/j.issn.1674-764x.2022.02.005

Abstract

Abstract:

In this paper, the quadratic polynomial and cubic polynomial functions were applied to analyze the environmental Kuznets curve (EKC) of carbon emissions in Hebei Province. The improved STIRPAT model was also applied to assess the driving factors and reduction paths for carbon emissions in Hebei Province. The results lead to three main conclusions. Firstly, carbon emissions and economic growth in Hebei Province are in a positive cor-relation stage which has not formed the EKC curve, and the “decoupling” stage between carbon emissions and economic growth has not arrived yet. Secondly, the industrial structure, per capita GDP, fixed assets investment, population size and urbanization rate account for the highest proportion of carbon emissions. Carbon emissions can be reduced greatly by changing the energy structure, in which the proportion of coal is decreased year by year. Environmental regulation also has an obvious effect on the reduction of carbon emissions. Thirdly, it is suggested that the reduction of carbon emissions in Hebei Province should focus on four tasks: controlling the development of heavy industry, avoiding overcapacity, optimizing the industrial structure and accelerating the development of clean energy.

Key words: IPCC calculation, EKC curve, improved SPIRPAT model, driving forces of carbon emissions, carbon emission reduction path

WANG Bo, WANG Limao, XIANG Ning, QU Qiushi, XIONG Chenran. Analysis of the Driving Factors of Carbon Emissions and Countermeasures for Carbon Emission Reduction in Hebei Province[J]. Journal of Resources and Ecology, 2022, 13(2): 220-230.

Figures/Tables 16

References 23

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Energy consumption classification	Total amount and Proportion	Year
Energy consumption classification	Total amount and Proportion	2005	2010	2013	2014	2015	2016	2017
Industrial energy consumption and proportion	Total amount (×10⁴ t standard coal)	15832	20563	23389	22785	22184	22014	22507
Industrial energy consumption and proportion	Proportion (%)	79.1	78.5	78.8	77.7	75.5	73.9	74.1
Domestic energy consumption and proportion	Total amount (×10⁴ t standard coal)	1870	2615	2881	2997	3391	3628	3806
Domestic energy consumption and proportion	Proportion (%)	9.40	10.1	9.7	10.2	11.5	12.2	12.5
Traffic energy consumption and proportion	Total amount (×10⁴ t standard coal)	710	971	1162	1109	1111	1286	1215
Traffic energy consumption and proportion	Proportion (%)	3.6	3.7	3.9	3.8	3.8	4.3	4.0
Forestry energy consumption and proportion	Total amount (×10⁴ t standard coal)	532	713	574	625	642	648	675
Forestry energy consumption and proportion	Proportion (%)	2.6	2.7	1.9	2.1	2.2	2.2	2.2
Building energy consumption and proportion	Total amount (×10⁴ t standard coal)	203	319	265	253	297	312	315
Building energy consumption and proportion	Proportion (%)	1.1	1.2	0.9	0.8	1.0	1.0	1.0
Total energyconsumption	Total amount (×10⁴ t standard coal)	19836	26201	29664	29320	29395	29794	30386

Energy consumption classification	Total amount and Proportion	Year
Energy consumption classification	Total amount and Proportion	2005	2010	2013	2014	2015	2016	2017
Industrial energy consumption and proportion	Total amount (×10⁴ t standard coal)	15832	20563	23389	22785	22184	22014	22507
Industrial energy consumption and proportion	Proportion (%)	79.1	78.5	78.8	77.7	75.5	73.9	74.1
Domestic energy consumption and proportion	Total amount (×10⁴ t standard coal)	1870	2615	2881	2997	3391	3628	3806
Domestic energy consumption and proportion	Proportion (%)	9.40	10.1	9.7	10.2	11.5	12.2	12.5
Traffic energy consumption and proportion	Total amount (×10⁴ t standard coal)	710	971	1162	1109	1111	1286	1215
Traffic energy consumption and proportion	Proportion (%)	3.6	3.7	3.9	3.8	3.8	4.3	4.0
Forestry energy consumption and proportion	Total amount (×10⁴ t standard coal)	532	713	574	625	642	648	675
Forestry energy consumption and proportion	Proportion (%)	2.6	2.7	1.9	2.1	2.2	2.2	2.2
Building energy consumption and proportion	Total amount (×10⁴ t standard coal)	203	319	265	253	297	312	315
Building energy consumption and proportion	Proportion (%)	1.1	1.2	0.9	0.8	1.0	1.0	1.0
Total energyconsumption	Total amount (×10⁴ t standard coal)	19836	26201	29664	29320	29395	29794	30386

Year	Total consumption	Six high-energy industries
Year	Total consumption	Ferrous metal	Electric and thermal power	Chemical materials and products	Non-metallic mineral products	Coal mining and washing	Petroleum processing and coking
2015	20269	10686	3872	1288	1011	929	763
2016	20544	10938	3939	1164	1012	923	720
2017	20292	10732	4101	1104	1047	818	694

Year	Total consumption	Six high-energy industries
Year	Total consumption	Ferrous metal	Electric and thermal power	Chemical materials and products	Non-metallic mineral products	Coal mining and washing	Petroleum processing and coking
2015	20269	10686	3872	1288	1011	929	763
2016	20544	10938	3939	1164	1012	923	720
2017	20292	10732	4101	1104	1047	818	694

Variable	GDP per capita
Agriculture and forestry energy consumption intensity	0.981518
Proportion of secondary industry	-0.694720
Proportion of tertiary industry	0.848086
Industrial energy consumption intensity	0.976681
Traffic energy consumption intensity	0.952120
Building energy consumption intensity	0.973299
Terminal energy consumption intensity	-0.983180
Proportion of terminal coal	-0.915260
Proportion of terminal oil and gas	0.878390
Proportion of terminal thermal power	0.935954