强可持续理念下绿色创新效率与生态福利绩效耦合协调的时空特征

doi:10.31497/zrzyxb.20190208

摘要/Abstract

摘要：

从强可持续理念出发,基于改进的SFA模型对中国2004-2015年30个省份的绿色创新效率及生态福利绩效值进行测度,结合耦合协调度模型对两系统的耦合协调度进行分析,同时考虑其空间特征及演变规律。结果表明：（1）中国生态福利绩效值在空间上已形成由北京—浙江—广东—陕西构成的四角极点支撑,并不断向沿线地区辐射。（2）2004-2015年两系统的耦合度均值C∈[0.666, 0.680],整体处于较高强度耦合阶段,而协调度均值则整体处于初级协调阶段（D∈[0.512, 0.565]）,未来仍有较大的优化空间。（3）从空间格局上看,地区间的耦合协调度差距显著,高值区（中高级协调）主要集中在东部沿海地区,且已形成由广东—浙江两个高级协调发展极核辐射的“U”型发展轴带;初级协调阶段的地区连片扩张趋势明显。相比较而言,西北地区仍处于中国绿色创新效率与生态福利绩效耦合协调的最后梯队,受周边地区辐射影响较小,增速缓慢。

关键词: 绿色创新效率, 生态福利绩效, 耦合协调, 强可持续理念, 时空特征

Abstract:

Starting from the concept of strong sustainability, we measure the green innovation efficiency and ecological welfare performance of 30 provinces in China from 2004 to 2015 based on the improved SFA model. We analyze the degree of the coupling coordination of the two systems with a coupling-coordination model, taking into account their spatial characteristics and evolution rules. The results show that: (1) China's ecological welfare performance value has been spatially supported by a quadrangular pole composed of Beijing, Zhejiang, Guangdong and Shaanxi, and continues to radiate to the areas along the lines. (2) The average coupling degree of the two systems in 2004-2015 is C∈ [0.666, 0.680], which is in the stage of high intensity coupling, while the average coordination degree is in the stage of elementary coordination (D∈ [0.512, 0.565]), meaning that there is still large improvement space in the future. (3) In terms of spatial pattern, there is a significant gap in the degree of coupling coordination between different regions. The high-value areas (midium- and high-level coordination) are mainly concentrated in the eastern coastal areas, and have formed a "U"-shaped development axis of polar nuclear radiation coordination between Guangdong and Zhejiang. At the elementary coordination stage, the trend of connected regional expansion is obvious. In comparison, the northwest region is still in the final echelon of the coupling coordination between China's green innovation efficiency and ecological welfare performance. It is less affected by the radiation from the surrounding areas and the growth rate is slow.

Key words: green innovation efficiency, ecological welfare performance, coupling and coordination, strong sustainable perspective, spatio-temporal characteristics

肖黎明, 张仙鹏. 强可持续理念下绿色创新效率与生态福利绩效耦合协调的时空特征[J]. 自然资源学报, 2019, 34(2): 312-324.

XIAO Li-ming, ZHANG Xian-peng. Spatio-temporal characteristics of coupling coordination between green innovation efficiency and ecological welfare performance under the concept of strong sustainability[J]. JOURNAL OF NATURAL RESOURCES, 2019, 34(2): 312-324.

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类别	一级指标	二级指标	三级指标	单位
投入指标	生态资本	生态服务型资本生态资源型资本生态环境型资本	城市环境基础设施建设投资占地区GDP的比例	%
			林业投资本年完成额占地区GDP的比例	%
			环境污染治理投资总额占GDP的比例^①	%
	环境污染	废水排放废气排放固废排放	人均工业废水排放	t/人
			人均工业废气排放量	m³/人
			人均一般工业固体废物排放量	t/人
	资源消耗	能源消耗土地资源消耗水资源消耗	人均能源消费量	t/人
			人均建设用地面积	km²/人
			人均用水量	m³/人
产出指标	福利水平	经济发展	R&D投入占GDP的比例	%
		社会包容	失业率	%
			各地区每千人口卫生技术人员数	人
			平均受教育年限^②	年
		环境可持续	各地区森林覆盖率	%

	区间	耦合等级	特征
耦合度C	0≤C<0.3	低度耦合	相互关联性不强
	0.3≤C<0.5	拮抗(中强度)耦合	相互关联性增强,同时产生抑制
	0.5≤C<0.8	较高强度耦合	系统进入良性耦合
	0.8≤C<1.0	高强度耦合	良好共振,共同促进发展
协调度D	0≤D<0.2	严重失调	G₁-E₁>0.1 E₁-G₁>0.1 0≤ \| G₁-E₁ \|≤0.1	生态福利绩效滞后绿色创新效率滞后相对协调发展
	0.2≤D<0.4	濒临失调
	0.4≤D<0.6	初级协调
	0.6≤D<0.8	中级协调
	0.8≤D<1.0	高级协调

原假设	LR		自由度K	结论
	模型（1）	模型（2）		模型（1）	模型（2）
检验1：H₀: γ=0 检验2：H₀: β₅=β₆=β₇=β₈=β₉=β₁₀=β₁₁=β₁₂=β₁₃=β₁₄=0 检验3：H₀: β₁=β₅=β₉=β₁₀=β₁₁=0 检验4：H₀: β₉=β₁₀=β₁₁=0 检验5：H₀: η=0	324.62 62.85 19.79 10.26 3.80	719.82 16.81 74.50 10.18 8.63	3 3 3 3 2	拒绝^* 拒绝^* 拒绝^* 拒绝^ 拒绝^*	拒绝^* 拒绝^* 拒绝^* 拒绝^ 拒绝^***

	严重失调	濒临失调	初级协调	中级协调	高级协调
2004年	---	山西^,内蒙古^,黑龙江^*,贵州,甘肃,青海,宁夏,新疆	河北^,江西^,湖北^,广西^,四川^,云南^,陕西^,辽宁^,吉林^,海南^,重庆^*,安徽,河南,湖南	北京^,上海^,福建^*,天津,江苏,浙江,山东,广东	---
2015年	---	宁夏^*,青海,新疆	河北^,山西^,江西^,湖北^,内蒙古^,广西^,四川^,云南^,陕西^,甘肃^,辽宁^,吉林^,黑龙江^,海南^*,安徽,河南,贵州	北京^,上海^,福建^,重庆^*,天津,江苏,山东,湖南	广东,浙江