黄河流域能源综合效率的时空演变与驱动因素

doi:10.18402/resci.2020.01.15

Abstract

Abstract:

The Yellow River Basin is an important energy base in China. The comprehensive energy efficiency of the Yellow River basin directly affects the ecological protection and high-quality development of the region. Using the super efficiency slack based measure (SBM) model to measure the comprehensive energy efficiency of nine provinces (autonomous regions) in the Yellow River Basin from 1997 to 2017, the nuclear density estimation method was selected to analyze the temporal and spatial change characteristics of comprehensive energy efficiency, and the driving factors of comprehensive energy efficiency were analyzed with the help of the geographical detector. The results show that: (1) From 1997 to 2017, the comprehensive energy efficiency of the Yellow River Basin showed a U-shaped trend of high-low-high. The comprehensive energy efficiency of the Yellow River Basin decreased from 1997 to 2003, decreased in 2009 after rapid growth from 2004 to 2010, and increased in 2015 after continuous decline from 2011 to 2017. (2) Spatially, the comprehensive energy efficiency of the western provinces of the Yellow River Basin is relatively low, and the comprehensive energy efficiency of the central provinces is greatly affected by multiple factors, while the comprehensive energy efficiency of the eastern province Shandong is significantly higher. The comprehensive energy efficiencies of the eastern, central, and western provinces and the upper, middle, and lower reaches of the Yellow River Basin have all changed from spatially unbalanced to balanced. (3) With regard to the driving factors, the explanation power of factors is in the order of financial decentralization, urbanization level, human capital level, and the degree of opening to the outside world. Expansion of local financial expenditure, acceleration of urbanization, upgrading of talent structure, and improvement of opening-up in the Yellow River Basin jointly drive the improvement of comprehensive energy efficiency. Give full play to the comparative advantages of the Yellow River Basin, and strengthen collaboration within the basin under various policies for promoting the ecological protection and high-quality development of the Yellow River Basin.

Key words: comprehensive energy efficiency, environmental element, social element, Super-SBM model, geographical detector, Yellow River Basin

GUAN Wei, XU Shuting, GUO Xiuyao. Spatiotemporal change and driving factors of comprehensive energy efficiency in the Yellow River Basin[J].Resources Science, 2020, 42(1): 150-158.

Figures/Tables 7

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References 27

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类型	一级	二级	三级
投入	资源要素	能源消费	地区能源消费总量
	资本要素	资本存量	张军算法下的资本存量
	劳动力要素	就业人口	年末就业人口数
	技术要素	技术贸易	技术市场成交额
产出	期望产出	经济效益	以1997年为基期的不变价人均GDP值
	期望产出	社会效益	人均公共财政支出
	非期望产出	环境污染	工业二氧化硫排放量、PM_2.5、工业废水排放总量、工业烟（粉）尘排放量、工业固体废物产生量
	非期望产出	环境影响	二氧化碳排放量

省份	1997年	2007年	2017年
山东	1.050	0.931	1.022
河南	0.842	0.695	1.063
山西	1.101	0.827	1.078
陕西	0.596	0.633	1.034
内蒙古	1.018	0.742	1.050
宁夏	1.019	0.694	1.019
甘肃	1.012	0.584	1.117
四川	1.011	0.688	1.043
青海	1.008	0.621	1.009

	X₁	X₂	X₃	X₄
X₁	0.202
X₂	0.393	0.178
X₃	0.289	0.238	0.120
X₄	0.266	0.288	0.285	0.043

Spatiotemporal change and driving factors of comprehensive energy efficiency in the Yellow River Basin

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