Sustainable development evaluation of nine provinces in the Yellow River Basin based on energy ecological footprint

doi:10.7522/j.issn.1000-694X.2022.00170

Journal of Desert Research ›› 2023, Vol. 43 ›› Issue (3): 138-151.DOI: 10.7522/j.issn.1000-694X.2022.00170

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Sustainable development evaluation of nine provinces in the Yellow River Basin based on energy ecological footprint

Chengjun Wang¹(), Jingxiang Tang¹(), Tao Feng¹, Chuanjia Du¹, Binglin Zhang²

^1.School of Management，Xi'an University of Architecture and Technology，Xi'an 710055，China
^2.Shaanxi Mineral Resources and Geological Survey，Xi'an 710068，China

Received:2022-11-25 Revised:2022-12-22 Online:2023-05-20 Published:2023-05-31
Contact: Jingxiang Tang

Abstract

Abstract:

Understanding the sustainable development level of each province in the Yellow River Basin can guide the formulation and implementation of high-quality development policies in the Yellow River Basin. Taking nine provinces in the Yellow River Basin as the research object， the four evaluation indicators of footprint depth， ecological utilization efficiency index， eco-economic coordination index and ecological footprint diversity index are calculated based on the improved energy ecological footprint model， on which the entropy weight method is used to calculate the comprehensive sustainable development index to evaluate the comprehensive sustainable development level of the nine provinces of the Yellow River Basin from 2009 to 2020. The results show that：（1） From 2009 to 2020， the footprint depth of all provinces except Qinghai Province exceeds 1；（2） From 2009 to 2020， all provinces show an overall decreasing trend in the ecological utilization efficiency index， among which Ningxia Hui Autonomous Region has the largest decrease of 57.55%；（3） From 2009 to 2020， the ecological and economic coordination indexes of four provinces， namely Shanxi， Shandong， Henan and Ningxia Hui Autonomous Region， do not exceed 1.05， all of which are lower than those of the remaining provinces；（4） From 2009 to 2020， the ecological footprint diversity indexes of Gansu Province all exceed 1， all of which are higher than those of the remaining provinces；（5） From 2009 to 2020， both Sichuan and Qinghai provinces are at sustainable development level， Gansu and Inner Mongolia Autonomous Region fluctuate between fairly sustainable and slightly unsustainable， and the rest of the provinces are at unsustainable development level， among which Ningxia Hui Autonomous Region fluctuates between slightly unsustainable and fairly unsustainable， Shandong and Henan Province are at fairly unsustainable year-round， Shanxi Province fluctuates between fairly unsustainable and very unsustainable， and Shaanxi Province is very unsustainable year-round. In the future， sustainable development strategies need to be developed and implemented according to local conditions to promote high-quality development in the Yellow River Basin.

Key words: Yellow River basin, high-quality development, sustainable development level, energy ecological footprint

CLC Number:

F205

Chengjun Wang, Jingxiang Tang, Tao Feng, Chuanjia Du, Binglin Zhang. Sustainable development evaluation of nine provinces in the Yellow River Basin based on energy ecological footprint[J]. Journal of Desert Research, 2023, 43(3): 138-151.

Figures/Tables 14

References 32

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系数名称	数值	系数名称	数值
反射率r	30%	雨水密度ρ_r	1×10³ kg·m^-3
卡诺效率c₁	93%	径流系数t₂	25%
空气密度ρ_a	1.29 kg·m^-3	重力加速度g	9.8 m·s^-2
陆地风应力拖拽系数d	1.64×10^-3	河水吉布斯自由能G₂	4.7×10³ J·kg^-1
蒸腾系数t₁	75%	热通量F	1.45×10⁶ J·m^-2
雨水吉布斯自由能G₁	4.72×10³ J·kg^-1	卡诺效率c₂	9.5%
太阳能值转换率τ₁	1 sej·J^-1	径流势能能值转换率τ₄	1.28×10⁴ sej·J^-1
风能能值转换率τ₂	800 sej·J^-1	径流化学能能值转换率τ₅	2.13×10⁴ sej·J^-1
雨水化学能能值转换率τ₃	7 000 sej·J^-1	地球循环能能值转换率τ₆	4 900 sej·J^-1

系数名称	数值	系数名称	数值
反射率r	30%	雨水密度ρ_r	1×10³ kg·m^-3
卡诺效率c₁	93%	径流系数t₂	25%
空气密度ρ_a	1.29 kg·m^-3	重力加速度g	9.8 m·s^-2
陆地风应力拖拽系数d	1.64×10^-3	河水吉布斯自由能G₂	4.7×10³ J·kg^-1
蒸腾系数t₁	75%	热通量F	1.45×10⁶ J·m^-2
雨水吉布斯自由能G₁	4.72×10³ J·kg^-1	卡诺效率c₂	9.5%
太阳能值转换率τ₁	1 sej·J^-1	径流势能能值转换率τ₄	1.28×10⁴ sej·J^-1
风能能值转换率τ₂	800 sej·J^-1	径流化学能能值转换率τ₅	2.13×10⁴ sej·J^-1
雨水化学能能值转换率τ₃	7 000 sej·J^-1	地球循环能能值转换率τ₆	4 900 sej·J^-1

生态足迹账户	项目	土地类型
生物资源账户	谷物、高粱、小麦、薯类、玉米、豆类、蔬菜、棉花、麻类、油料、糖料、烟叶、药材、瓜果、青饲料、茶叶、枸杞、猪肉、禽肉、禽蛋	耕地
	水果、木材、竹材、核桃、板栗、竹笋干、生漆、油桐籽、油茶籽、花椒、松脂、蚕茧	林地
	羊肉、牛肉、羊毛、奶类、蜂蜜	草地
	水产品	水域
水资源账户	农业用水、工业用水、生活用水、生态补水	水域
能源账户	原煤、焦炭、原油、汽油、煤油、柴油、燃料油、天然气	化石能源用地
初级工业产品账户	钢材、铜材、原铝、化学纤维、塑料、平板玻璃、纸板、水泥、化肥、原盐、硫酸、烧碱、纯碱、农药、乙烯、布、纱、金	化石能源用地
污染物账户	火电、水电、废水（化学需氧量、氨氮）、废气（二氧化硫、氮氧化物、颗粒物）、废固（生活垃圾、一般工业废固）	建筑用地

生态足迹账户	项目	土地类型
生物资源账户	谷物、高粱、小麦、薯类、玉米、豆类、蔬菜、棉花、麻类、油料、糖料、烟叶、药材、瓜果、青饲料、茶叶、枸杞、猪肉、禽肉、禽蛋	耕地
	水果、木材、竹材、核桃、板栗、竹笋干、生漆、油桐籽、油茶籽、花椒、松脂、蚕茧	林地
	羊肉、牛肉、羊毛、奶类、蜂蜜	草地
	水产品	水域
水资源账户	农业用水、工业用水、生活用水、生态补水	水域
能源账户	原煤、焦炭、原油、汽油、煤油、柴油、燃料油、天然气	化石能源用地
初级工业产品账户	钢材、铜材、原铝、化学纤维、塑料、平板玻璃、纸板、水泥、化肥、原盐、硫酸、烧碱、纯碱、农药、乙烯、布、纱、金	化石能源用地
污染物账户	火电、水电、废水（化学需氧量、氨氮）、废气（二氧化硫、氮氧化物、颗粒物）、废固（生活垃圾、一般工业废固）	建筑用地

可持续发展综合指数	可持续发展水平
≤0.1240	极度不可持续
0.1241~0.1690	非常不可持续
0.1691~0.2290	相当不可持续
0.2291~0.3390	轻微不可持续
0.3391~0.4750	相对可持续
＞0.4750	相当可持续

Sustainable development evaluation of nine provinces in the Yellow River Basin based on energy ecological footprint

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