东北地区产业发展与工业SO2排放的时空耦合效应

doi:10.13249/j.cnki.sgs.2016.09.004

Abstract

Abstract:

In order to find the impact of industrial transformation on the industrial pollution discharge and its spatial pattern, this article analyzes the dynamic coupling relationship between industrial growth and SO₂emission with the index of decoupling coefficients with industrial SO₂ as the object and prefecture level city of as the unit. It was found that the industrial outputs of cities in Northeast China have really increased while its industrial SO₂ emission decreased in 2005-2013. So, the revitalization of old industrial base in Northeast China could be seen as “green revitalization”. Then, the LMDI model was used to divide the decoupling coefficients into scale, industrial structure and technology upgrading effect. This article found that the scale effect expressed as growth of industrial output value has a positive driving impact on the growth of industrial SO₂ emissions; industrial technology progress promotes the industrial SO₂ emission reduction, and industrial structure's role varies from city to city. Mostly, the higher technology effect is concentrated in special industrial cities in the peripheral of mega city region while scale effect is concentrated in core mega city and coastal cities in Liaoning Province. Industrial transformation of Shenyang metropolitan area is significant and effective, where the development of equipment manufacture sector and decrease of ratio of high SO₂-load sectors in total output had led into the reducing of SO₂ emission. On the other side, in the cities around Bohai Sea of Liaoning Province and cities with wood processing and basic energy and raw material industries as regional pillar industry in Jilin and Heilongjiang provinces, the rising of ratio of energy and basic material sector to total industrial output has led to the growth of industrial SO₂ emission. Finally, according to the main driving factors and limiting factors of SO₂ emission reduction in different cities, this article puts forward policy recommendations to promote the green transformation in Northeast China.

Key words: industrial development, SO2 emission, decoupling relationship, LMDI model

CLC Number:

F062.4

Li Ma, Bo Zhang, Yu Yang. The Spatio-temporal Coupling Relationship Between Industrial Development with SO₂ Emission of Northeast China[J].SCIENTIA GEOGRAPHICA SINICA, 2016, 36(9): 1310-1319.

Figures/Tables 7

Table 1

The classification criteria for decoupling degree between pollution emission and industry output"

趋势	类型	$? EI'$	$? Y'$	$D EI, Y$
脱钩	绝对脱钩	（-μ,0]	（0,+μ）	（-μ,0]
	相对脱钩	（0,+μ）	（0,+μ）	（0,1）
	衰退性脱钩	（-μ,0）	（-μ,0）	[1,+μ）
负脱钩	绝对负脱钩	[0,+μ）	（-μ,0）	（-μ,0]
	相对负脱钩	（-μ,0）	（-μ,0）	（0,1）
	扩张性负脱钩	（0,+μ）	（0,+μ）	[1,+μ）

Table 1

Fig. 1

Fig. 2

Fig. 3

Table 2

The decoupling index of industrial output and pollutant emission of Northeast China"

地区名称	$? EI'$	$? Y'$	$D EI, Y$	类型	地区名称	$? EI'$	$? Y'$	$D EI, Y$	类型
沈阳市	1.83	4.30	0.43	相对脱钩	辽源市	-0.17	9.62	-0.02	绝对脱钩
大连市	0.24	3.09	0.08	相对脱钩	通化市	0.21	5.55	0.04	相对脱钩
鞍山市	0.23	2.47	0.09	相对脱钩	白山市	-0.10	7.62	-0.01	绝对脱钩
抚顺市	-0.34	2.72	-0.13	绝对脱钩	松原市	0.29	6.51	0.04	相对脱钩
本溪市	-0.42	3.47	-0.12	绝对脱钩	白城市	0.10	7.33	0.01	相对脱钩
丹东市	-0.05	4.24	-0.01	绝对脱钩	哈尔滨市	0.09	1.74	0.05	相对脱钩
锦州市	-0.48	4.29	-0.11	绝对脱钩	齐齐哈尔市	-0.90	2.27	-0.40	绝对脱钩
营口市	-0.31	3.98	-0.08	绝对脱钩	鸡西市	0.54	2.47	0.22	相对脱钩
阜新市	0.78	6.22	0.13	相对脱钩	鹤岗市	0.27	1.53	0.18	相对脱钩
辽阳市	0.21	2.95	0.07	相对脱钩	双鸭山市	-0.53	8.54	-0.06	绝对脱钩
盘锦市	1.96	3.49	0.56	相对脱钩	大庆市	-0.23	0.97	-0.24	绝对脱钩
铁岭市	-0.64	9.61	-0.07	绝对脱钩	伊春市	1.09	2.53	0.43	相对脱钩
朝阳市	-0.17	4.58	-0.04	绝对脱钩	佳木斯市	-0.68	6.04	-0.11	绝对脱钩
葫芦岛市	-0.13	1.05	-0.12	绝对脱钩	七台河市	-0.33	1.46	-0.22	绝对脱钩
长春市	0.14	4.15	0.03	相对脱钩	牡丹江市	-0.48	5.19	-0.09	绝对脱钩
吉林市	0.40	3.08	0.13	相对脱钩	黑河市	0.62	5.22	0.12	相对脱钩
四平市	-0.13	7.43	-0.02	绝对脱钩	绥化市	-0.09	7.17	-0.01	绝对脱钩

Table 2

Fig.4

Table 3

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地区名称	规模效应	结构效应	技术效应	地区名称	规模效应	结构效应	技术效应
沈阳市	166.7%	-40.3%	-22.4%	辽源市	236.3%	25.7%	-280.2%
大连市	140.9%	35.9%	-155.5%	通化市	187.9%	-98.8%	-70.1%
鞍山市	124.3%	-31.1%	-72.2%	白山市	215.4%	-22.2%	-203.4%
抚顺市	131.4%	-35.7%	-137.6%	松原市	201.6%	88.2%	-264.3%
本溪市	149.7%	-37.3%	-167.3%	白城市	211.9%	-22.2%	-180.4%
丹东市	165.7%	-0.1%	-170.5%	哈尔滨市	100.8%	-6.6%	-85.2%
锦州市	166.5%	12.4%	-244.6%	齐齐哈尔市	118.4%	-16.9%	-335.5%
营口市	160.5%	8.3%	-206.0%	鸡西市	124.4%	-49.0%	-32.5%
阜新市	197.7%	-19.7%	-120.4%	鹤岗市	92.7%	6.3%	-75.2%
辽阳市	137.3%	-0.5%	-117.5%	双鸭山市	225.6%	-1.6%	-300.0%
盘锦市	150.1%	95.3%	-136.9%	大庆市	67.7%	52.7%	-146.6%
铁岭市	236.2%	-46.4%	-290.6%	伊春市	126.0%	2.1%	-54.6%
朝阳市	171.9%	-27.5%	-163.3%	佳木斯市	195.2%	-53.3%	-254.4%
葫芦岛市	71.9%	-33.7%	-51.7%	七台河市	89.8%	15.8%	-145.2%
长春市	163.8%	-10.2%	-140.1%	牡丹江市	182.3%	-73.9%	-173.2%
吉林市	140.7%	-16.4%	-90.5%	黑河市	182.8%	-33.4%	-101.1%
四平市	213.2%	-56.3%	-170.8%	绥化市	210.1%	76.3%	-295.5%

The Spatio-temporal Coupling Relationship Between Industrial Development with SO₂ Emission of Northeast China

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The Spatio-temporal Coupling Relationship Between Industrial Development with SO2 Emission of Northeast China

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The Spatio-temporal Coupling Relationship Between Industrial Development with SO₂ Emission of Northeast China