甘肃省经济发展与生态环境保护耦合协调关系研究

薛婧; 白璐; 武琛昊; 满贺诚; 孙启宏; 谢明辉

doi:10.12153/j.issn.1674-991X.20210303

甘肃省经济发展与生态环境保护耦合协调关系研究

doi: 10.12153/j.issn.1674-991X.20210303

薛婧^{1, 2,},
白璐¹,
武琛昊^1, ,,
满贺诚¹,
孙启宏¹,
谢明辉¹

1.
中国环境科学研究院
2.
兰州大学经济学院

基金项目: 国家重点研发计划项目(2018YFB1502804)

详细信息

作者简介:
薛婧（1988—），女，博士研究生，主要从事区域经济学研究，xuej18@lzu.edu.cn

通讯作者:
武琛昊（1997—），男，硕士研究生，研究方向为产业生态，Wuch1026@163.com

中图分类号: X196,X321
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- 文章访问数: 574
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- 被引次数: 0
出版历程
- 收稿日期: 2021-07-05
- 网络出版日期: 2022-04-21

Study on the coupling coordination relationship between economic development and ecological environment protection in Gansu Province

XUE Jing^{1, 2
,},
BAI Lu¹,
WU Chenhao^{1
, ,},
MAN Hecheng¹,
SUN Qihong¹,
XIE Minghui¹

1.
Chinese Research Academy of Environmental Sciences
2.
School of Economics, Lanzhou University

摘要

摘要:
为了对经济发展与生态环境保护的耦合协调程度做出评价，以甘肃省为例，运用综合发展评价模型和耦合协调度模型对经济系统与环境系统耦合协调关系进行研究，从时间和空间上对省级及其下辖的14市（州）2011—2019年经济与环境耦合协调状况进行分析。结果表明：1）甘肃省综合发展水平逐年提升，经济与环境耦合协调度由0.005 5升至0.911 0，耦合协调水平总体处于上升趋势，并在2017年实现良好耦合协调，且经济发展与生态环境保护实现同步；2）14市（州）经济与环境综合发展水平呈上升趋势，部分市（州）在2016年和2018年出现波动，酒泉、兰州等综合发展水平较高，甘南、定西等综合发展水平较低；3）14市（州）经济与环境耦合协调程度在时间上于2016年全部脱离失调衰退进入耦合协调期，从空间上表现为中部最优、北部次之、南部略差。
- 经济发展 /
- 生态环境保护 /
- 耦合协调 /
- 甘肃省
Abstract:
To evaluate the degree of coupling and coordination between economic development and ecological environment protection, the coupling coordination relationship between economic and environmental systems was studied by using the comprehensive development evaluation model and the coupling coordination degree model. Taking Gansu Province as an example, the coupling coordination between economy and environment at the provincial level and 14 cities (prefectures) under its jurisdiction from 2011 to 2019 were analyzed in terms of time and space. The results showed that: 1) The comprehensive development level of Gansu Province increased year by year, and the coupling coordination degree of economy and environment increased from 0.005 5 to 0.911 0. The coupling coordination level of Gansu Province was generally on the rise, and achieved good coupling coordination in 2017 with the synchronization economic development and ecological environment protection. 2) The comprehensive development level of economy and environment in 14 cities (prefectures) showed an upward trend, and some cities (prefectures) showed fluctuations in 2016 and 2018. The comprehensive development level of Jiuquan and Lanzhou was higher, while that of Gannan and Dingxi was lower. 3) The coupling coordination degree of economy and environment in 14 cities (prefectures) all broke away from the imbalance recession and entered the coupling coordination stage in 2016. In space, it was the best in the central region, followed by the north and slightly worse in the south.
- economic development /
- ecological environment protection /
- coupling coordination /
- Gansu Province

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图 1 甘肃省经济与环境综合发展指数变化趋势

Figure 1. Changing trend of comprehensive development indexes of economy and environment in Gansu Province

下载: 全尺寸图片幻灯片

图 2 甘肃省14市（州）耦合协调类型空间演变

Figure 2. Spatial evolution diagram of coupling coordination types of 14 cities (prefectures) in Gansu Province

下载: 全尺寸图片幻灯片

表 1 经济发展与生态环境保护耦合协调评价指标体系

Table 1. Evaluation index system of coupling coordination between economic development and ecological environment protection

系统层	子系统	指标	单位	指标属性
经济系统	经济规模	人均GDP	万元/人	正向
		人均工业增加值	万元/人	正向
		人均固定资产投资额	万元/人	正向
		第三产业GDP占比	%	正向
	消费潜力	城镇化率	%	正向
		城镇居民人均消费支出	万元/人	正向
		农村人均消费支出	万元/人	正向
		在岗职工平均工资	万元	正向
	发展效率	劳动生产率	元/人	正向
		能源生产率	元/t(以标煤计)	正向
		土地生产率	元/m³	正向
	科技投入	科技研发人员折合全时人员	人·a	正向
	科技投入	研发经费投入强度	%	正向
环境系统	环境质量	地表水监测断面达到优良以上比例	%	正向
		建成区绿化覆盖率	%	正向
		空气质量优良天数比率	%	正向
	环境污染	废水排放量	万t	负向
		COD排放量	万t	负向
		氨氮排放量	万t	负向
		SO₂排放量	万t	负向
		氮氧化物排放量	万t	负向
		工业固体废物产生量	万t	负向
	绿色低碳	能源消耗强度	t/万元 (以标煤计)	负向
		水资源消耗强度	t/万元	负向
		碳排放强度	t/万元	负向
	环境治理	城镇污水处理率	%	正向
		城镇生活垃圾无害化处理率	%	正向
		一般工业固体废物综合利用率	%	正向

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表 2 经济系统与环境系统耦合类型

Table 2. Coupling types of economic and environmental systems

C	耦合类型
C=0	子系统无关且无序发展
0<C≤0.3	低水平耦合
0.3<C≤0.5	颉颃
0.5<C≤0.8	磨合
0.8<C<1	高水平耦合
C=1	子系统良性共振耦合且有序发展

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表 3 经济系统与环境系统耦合协调区间及状态

Table 3. Coupling coordination interval and state of economic and environmental systems

D	耦合协调区间	耦合协调状态
0<D≤0.1	失调衰退	极度失调衰退类
0.1<D≤0.2		严重失调衰退类
0.2<D≤0.3		中度失调衰退类
0.3<D≤0.4	过渡调和	轻度失调衰退类
0.4<D≤0.5		濒临失调衰退类
0.5<D≤0.6		勉强耦合协调类
0.6<D≤0.7	低度协调	初级耦合协调类
0.7<D≤0.8	低度协调	中级耦合协调类
0.8<D≤0.9	高度协调	良好耦合协调类
0.9<D≤1.0	高度协调	优质耦合协调类

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表 4 甘肃省经济与环境耦合协调程度

Table 4. Coupling and coordination degree of economy and environment in Gansu Province

年份	C	耦合类型	D	耦合协调状态	U	协同发展类型
2011	0.000 4	低水平耦合	0.005 5	极度失调衰退类	0.080 7	经济发展滞后型
2012	0.999 6	高水平耦合	0.445 0	濒临失调衰退类	0.984 7	经济环境同步型
2013	0.987 2	高水平耦合	0.550 3	勉强耦合协调类	1.097 3	经济环境同步型
2014	0.764 5	磨合	0.541 1	勉强耦合协调类	1.529 2	环境质量滞后型
2015	0.746 4	磨合	0.587 2	勉强耦合协调类	1.557 9	环境质量滞后型
2016	0.988 5	高水平耦合	0.770 7	中级耦合协调类	1.091 7	经济环境同步型
2017	0.997 7	高水平耦合	0.833 4	良好耦合协调类	0.961 7	经济环境同步型
2018	0.999 5	高水平耦合	0.849 2	良好耦合协调类	1.018 1	经济环境同步型
2019	0.958 9	高水平耦合	0.911 0	优质耦合协调类	1.182 2	经济环境同步型

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表 5 甘肃省14市（州）经济与环境综合发展指数

Table 5. Economic and environmental comprehensive development indexes in 14 cities (prefectures) in Gansu Province

市（州）	2011年	2012年	2013年	2014年	2015年	2016年	2017年	2018年	2019年
兰州	0.084 3	0.220 1	0.334 7	0.416 0	0.420 0	0.610 8	0.688 7	0.728 4	0.912 6
嘉峪关	0.212 3	0.301 7	0.298 3	0.315 3	0.342 8	0.640 3	0.657 9	0.758 3	0.757 8
金昌	0.214 8	0.301 8	0.369 3	0.360 1	0.340 8	0.520 2	0.575 9	0.563 0	0.729 2
白银	0.075 1	0.207 4	0.351 2	0.428 1	0.388 9	0.571 2	0.694 5	0.707 7	0.850 1
天水	0.160 3	0.235 4	0.323 3	0.389 9	0.420 2	0.539 5	0.670 8	0.748 0	0.886 7
武威	0.114 4	0.169 4	0.283 1	0.309 4	0.356 0	0.537 9	0.641 4	0.618 0	0.873 0
张掖	0.139 9	0.201 9	0.264 9	0.309 6	0.350 0	0.629 8	0.723 1	0.691 2	0.808 7
平凉	0.173 2	0.307 2	0.358 6	0.386 3	0.404 4	0.598 7	0.643 0	0.701 1	0.824 7
酒泉	0.123 8	0.322 1	0.415 3	0.455 0	0.504 9	0.642 2	0.634 2	0.733 0	0.713 8
庆阳	0.189 1	0.311 5	0.401 4	0.467 7	0.513 0	0.563 8	0.543 3	0.654 6	0.743 8
定西	0.199 2	0.228 6	0.292 6	0.341 6	0.356 2	0.431 3	0.519 9	0.646 4	0.866 2
陇南	0.225 2	0.258 4	0.279 6	0.379 0	0.353 0	0.546 3	0.628 8	0.696 5	0.790 5
临夏	0.123 9	0.217 2	0.308 4	0.390 1	0.394 1	0.564 8	0.728 6	0.787 6	0.864 2
甘南	0.355 0	0.107 8	0.225 4	0.312 9	0.380 0	0.400 6	0.542 0	0.585 1	0.686 4

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