湟水流域西宁段产业结构升级与生态效率提升的耦合路径识别

doi:10.12118/j.issn.1000-6060.2023.245

Abstract

Abstract:

This study utilizes panel data spanning 2010 to 2021 from seven counties and districts within the Xining section of the Huangshui Basin. Employing the Super-Undesirable SBM model and an extended coupling coordination model, we assess the levels of industrial structure upgrading and ecological efficiency enhancement. Additionally, we evaluate the coupling coordination between these two systems, identifying optimal paths through the coordinate classification method. The findings reveal: (1) Substantial regional variations exist in both industrial structure upgrading and ecological efficiency enhancement across the sample area. The spatial distribution exhibits a pattern of prominence in the center and weakness on the sides. (2) The overall coupling and coordination levels among the counties and districts demonstrate a lack of high coherence, marked by significant regional disparities. Most areas fall into the transitional coupling stage with weak elasticity. (3) The solidification of industrial structure upgrading emerges as the primary impediment to achieving a higher level of coupling coordination in the region. Developing coupling paths should prioritize regions characterized by the “double-low” type, steering clear of the pitfalls associated with “low-level coordination”. In conclusion, this study recommends internal breakthroughs to address resource constraints and external strategies to achieve a balanced distribution within the systems.

Key words: industrial structure upgrading, eco-efficiency enhancement, coupling coordination, coupling path identification, Huangshui Basin

CHEN Chaochao, MA Dingchou, CHEN Qiangqiang. Coupling path identification of industrial structure upgrading and eco-efficiency enhancement in Xining section of Huangshui Basin[J].Arid Land Geography, 2023, 46(12): 2042-2051.

Figures/Tables 9

Fig. 1

Fig. 2

Tab. 1

Tab. 2

Industrial structure upgrading indicators"

一级指标	二级指标	计算公式
产业结构高级化（TA）	服务化倾向	$服务化倾向 = 第三产业增加值第二产业增加值$
产业结构合理化（TR）	泰尔指数	$T L = ∑ i = 1 n Y i Y l n Y i L i Y L$ ， i=1, 2, 3 式中：TL为泰尔指数；Y_i为第i个产业产值占比；L_i为第i个产业劳动力占比；Y为总产值；L为总劳动力。
产业结构高效化（TE）	固定资产投资效果系数	$固定资产投资效果系数 = 国内生产总值逐期增长量上一年全社会固定资产投资完成额$

Tab. 2

Tab. 3

Fig. 3

Fig. 4

Fig. 5

Fig. 6

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类型	耦合协调度（D）	等级
协调类	(0.9, 1.0]	优质协调
	(0.8, 0.9]	良好协调
	(0.7, 0.8]	中级协调
	(0.6, 0.7]	初级协调
过渡类	(0.5, 0.6]	勉强协调
	(0.4, 0.5]	濒临失调
	(0.3, 0.4]	轻度失调
失调类	(0.2, 0.3]	中度失调
	(0.1, 0.2]	严重失调
	(0.0, 0.1]	极度失调

一级指标	二级指标	计量方式
投入	资本投入	资本存量/10⁴元
	劳动力投入	三次产业就业人数/人
	资源投入	能源消耗/t
产出	期望产出	地区GDP/10⁴元
产出	非期望产出	SO₂排放总量/t

Coupling path identification of industrial structure upgrading and eco-efficiency enhancement in Xining section of Huangshui Basin

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