Spatial pattern and influencing factors of coupling coordination degree between ecological vulnerability and comprehensive economic level in Gansu Province
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摘要:
为探究我国西北地区生态脆弱程度与经济综合水平之间的关系,以甘肃省为例,通过驱动力—压力—状态—影响—响应(DPSIR)模型构建生态脆弱性评价指标体系,从社会、经济2个方面构建经济综合水平评价指标体系,探讨甘肃省生态脆弱性与经济综合水平的耦合协调度差异类型空间分布,并探究其影响因素。结果表明:1)甘肃省生态脆弱性中度脆弱及以上的县区面积占比为78.8%,生态系统整体较为脆弱;甘肃省经济综合水平处于中等及以下的县区面积占比为41.1%,整体经济综合水平较低。2)甘肃省生态环境与经济协调程度较差,仅有9.2%的县区经济与生态环境协调发展,面积占比为4.4%,而经济与生态环境失调发展的县区比例为48.3%,面积占比高达73.9%。甘肃省生态脆弱性与经济综合水平耦合协调度差异类型具有显著的空间分布特征,其中,失调环境滞后型集聚性最强,集中于气候干燥、水土流失严重的甘肃省北部。3)人口增长压力、自然环境限制以及居民生活水平落后是甘肃省生态环境与经济协调发展的重大阻碍。基于此,甘肃省未来应坚持可持续协调发展理念,加大生态环境保护和治理力度,因地制宜发展绿色经济。
Abstract:To explore the relationship between ecological fragility and comprehensive economic level in northwest China, the evaluation system of ecological vulnerability indicators in Gansu Province was constructed through Driving-Pressure-State-Impact-Response (DPSIR) model, and the evaluation system of comprehensive economic level indicators in Gansu Province was constructed from the social and economic aspects. The spatial distribution of different types of coupling coordination degree between ecological vulnerability and comprehensive economic level in Gansu Province was studied, and its influencing factors were explored. The results showed that: 1) The area of counties and districts with moderate or higher ecological vulnerability in Gansu Province accounted for 78.8%, and the ecosystem as a whole was relatively fragile; the area of counties and districts with medium or lower comprehensive economic level in Gansu Province accounted for 41.1%, and the overall comprehensive economic level was low. 2) The ecological environment and economy in Gansu Province were poorly coordinated. Only 9.2% of the counties and districts had coordinated economic and ecological development, accounting for 4.4% of the total area. The proportion of counties and districts with unbalanced economic and ecological development was 48.3%, accounting for 73.9% of the total area. The spatial distribution characteristics of each type were significantly different, among which the concentration of the imbalanced environment-lag type was the strongest, concentrated in the north of Gansu Province, where the climate was dry and the water and soil loss was serious. 3) The pressure of population growth, the restriction of natural environment and the backward living standard of residents were major obstacles to the coordinated development of ecology and economy in Gansu Province. Based on this, Gansu Province should adhere to the concept of sustainable and coordinated development, strengthen the protection and governance of ecological environment, and develop green economy according to local conditions, so as to realize the coordinated and high-quality development of regional ecological environment and economy as soon as possible.
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表 1 生态脆弱性评价指标体系
Table 1. Evaluation indicator system of ecological vulnerability
目标层 准则层 要素层 指标层 生态脆弱性 驱动力(D) 气象因子 年均降水量 年均气温 地形因子 海拔高度 压力(P) 自然压力 人均耕地面积 人为压力 人口密度 农村用电量 化肥使用折纯量 状态(S) 自然环境状态 生物丰度指数 河网密度 影响(I) 影响 植被覆盖率 灌溉能力(有效灌溉面积) 响应(R) 人文响应 人工造林面积 第三产业占比 社会经济响应 人口自然增长率 表 2 经济综合水平评价指标体系
Table 2. Comprehensive economic level evaluation indicator system
目标层 框架层 准则层 指标层 经济综合
水平社会发展 教育医疗 中小学专任教师数量 学龄儿童入学率 每万人床位数 农村人口从业状况 乡村人口从业比例 农业机械化水平 农业机械总动力 资源拥有状况 人均粮食占有量 城镇化水平 城镇化率 经济发展 经济水平 GDP增长率 人均GDP 农林牧渔业产值占比 居民生活 城镇居民人均可支配收入 农村居民人均可支配收入 年末金融机构人均存款余额 农村居民人均消费支出 表 3 生态环境与经济综合水平耦合协调度分类和判别标准
Table 3. Classification and criteria for determining the coupling coordination degree between ecological environment and comprehensive economic level
耦合协调类型 协调发展区间 分类依据 耦合协调度差异类型 协调发展 0.6≤ D≤1.0 0≤|EVI–M|≤0.1 协调同步型 EVI–M>0.1 协调经济滞后型 M–EVI>0.1 协调环境滞后型 勉强协调发展 0.5≤D<0.6 0≤|EVI–M|≤0.1 协调同步型 EVI–M>0.1 协调经济滞后型 M–EVI>0.1 协调环境滞后型 濒临衰退失调 0.4≤D <0.5 0≤|EVI–M|≤0.1 失调共损型 EVI–M>0.1 失调经济滞后型 M–EVI>0.1 失调环境滞后型 衰退失调 0≤D<0.4 0≤|EVI–M|≤0.1 失调共损型 EVI–M>0.1 失调经济滞后型 M–EVI>0.1 失调环境滞后型 表 4 各指标对甘肃省生态与经济耦合协调度的解释力程度
Table 4. Explanatory power of various indexes on the coupling coordination degree of ecological environment and economy in Gansu Province
指标 解释力(QXY) 指标 解释力(QXY) 人口自然增长率 0.30 生物丰度 0.21 海拔高度 0.29 植被覆盖率 0.20 人均GDP 0.26 -
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