Coupling coordination analysis of Mazu culture,socio-economy and ecological environment of Meizhou Island

Taking the pilgrimage,tourism and cultural island of Meizhou Island as an example,the evaluation index system of the coupling and coordinated development of“Mazu culture,socio-economy,eco-environment”(MSE)compound system was constructed.The index weights were determined by AHP-entropy method,and the coupling degree,coordinated degree,comprehensive evaluation index and grey correlation degree of MSE system of Mazu Island from 2012 to 2022 were measure.The results showed that:(1)the comprehensive evaluation indexes of the three subsystems was on the rise in general,but the evaluation index of the ecological subsystems increased relatively slowly.(2)The coupling degree was only in the running-in stage in 2012,and the other years were in the coordinated coupling stage.(3)The coupling coordination degree increased from 0.35 in 2012 to 0.82 in 2022,the coupling coordination level was changed from mild imbalance to good coordination.(4)Through the comparison of grey correlation degree,the 24 indexes in the evaluation index system had great influence on the coupling coordination degree of MSE system.The coupling coordination degree was closely related to the development of socio-economy and the spread of Mazu culture.With the rapid development of tourism brought about by the spread of Mazu culture,the pressure on the ecological environment will be increasing.Compared with the rapid growth of tourism and economy,it is equally important to strengthen environmental protection and pay attention to the quality of ecological environment development.

Impact of coupling coordination development of port and city environments on urban economic competitiveness:Evidence from the coastal port cities in eastern China

Promoting the coupling coordination development of port and its hinterland city environments is an important way to improve urban economic competitiveness.Based on relevant data of 13 coastal port cities in eastern China from 2000 to 2018,this study explores the coupling coordination development of port and city environments and its impact on urban economic competitiveness by constructing the coupling coordination degree model and the panel threshold model.The research results show that:(1)In terms of the coupling coordination development of port and city environments,most coastal ports and their hinterland cities are in a state of moderate or serious disorder.Overall,the degree of coupling coordination of port and city environments needs to be further improved;(2)The coupling coordination degree of port and city environments has a significant impact on urban economic competitiveness,and this effect gradually increases with the development of the ports and the urban economy.Among the variables that impact the urban economic competitiveness,fixed assets investment and foreign trade are significant factors that can enhance urban economic competitiveness.(3)At present,there is a“U-shaped”relationship between the coupling coordination degree of port-city environments and the urban economic competitiveness.This relationship lies on the right side of the inflection point of the“U-shaped”curve.Therefore,following the concept of assigning priority to ecological development,expanding fixed assets investment and actively developing foreign trade can further enhance the urban economic competitiveness.

Coupling and Long-term Change Characteristics of Forest Carbon Sink and Forestry Economic Development in China

[Objectives]To analyze the changes in of forest carbon sink and forestry economic development,provide reference for relevant management decisions,ecological governance and resource and environment management,and promote the development of green low-carbon economy in China.[Methods]Based on the data of six forest resource inventories from 1989 to 2018 and related studies,the comprehensive evaluation model of forest carbon sink and forestry economic development,the coupling degree model of forest carbon sink and forestry economic development,and the coupling coordination degree model of forest carbon sink and forestry economic development were adopted.The coupling degree of forest carbon sink and forestry economic development from 1992 to 2018 was analyzed.Stepwise regression and ARIMA model were used to analyze the influencing factors and lagging characteristics of forest carbon sink.The coupling degree between forest carbon sink and forestry economic development in China from 2019 to 2030 was predicted by autoregression and ADF test.The coupling between forest carbon sink and forestry economic development in China and its long-term change characteristics were also discussed in this study.[Results](i)The investment of ecological construction and protection,the actual investment of forestry key ecological projects,GDP and the import of forest products had a significant impact on forest resources carbon stock.The total output value of forestry industry,the actually completed investment of forestry key ecological projects and the export volume of forest products had a significant impact on the forest carbon sink,and the actually completed investment of forestry key ecological projects has the greatest impact on the two.(ii)The impact of actually completed investment of forestry key ecological projects had a lag of 2 years on the forest resources carbon stock and a lag of 1 year on the forest carbon sink.When investing in forest carbon sink,it is necessary to make a good plan in advance,and do a good job in forest resources management and time optimization.(iii)From 1992 to 2018,the coupling degree of forest resources carbon stock,forest carbon sink and long-term development of forestry economy in China was gradually increasing.Although there were some fluctuations in the middle time,the coupling degree of forest resources carbon stock and the long-term development of forestry economy increased by 9.24%annually,and the degree of coupling coordination increased from"serious imbalance"in 1992 to"high-quality coordination"in 2018.From 1993 to 2018,the coupling degree of forest carbon sink and long-term development of forestry economy increased by 9.63%annually,slightly faster than the coupling coordination degree of forest resources carbon stock and long-term development of forestry economy.The coordination level also rose from level 2 in 1993 to level 10 in 2018.(iv)The prediction shows that the coupling coordination degree of forest resources carbon stock,forest carbon sink and the long-term development of forestry economy would increase from 2019 to 2030.The coupling coordination degree(D)values of both were close to 1,the coordination level was also 10 for a long time,and the degree of coupling coordination was also maintained at the"high-quality coordination"level for a long time.[Conclusions]Forest has multiple benefits of society,economy and ecology,and forest carbon sink is only a benefit output.The long-term coupling analysis of forest carbon sink and forestry economic development is a key point to multiple benefit analysis.The analysis shows that the spillover effect and co-evolution effect of forest carbon sink in China are significant.From 1992 to 2018,the coupling coordination degree of forest carbon sink and forestry economic development was gradually rising.The prediction analysis also indicate that the coupling coordination degree between the forest carbon sink and the long-term development of forestry economy will remain at the level of"high-quality coordination"for a long time from 2019 to 2030.Therefore,improving the level of forest management and maintaining the current trend of increasing forest resources are the key to achieving the goal of carbon peaking and carbon neutrality in China.

Degree of coupling and coordination of eco-economic system and the influencing factors： a case study in Yanchi County, Ningxia Hui Autonomous Region, China

Based on the statistical data, we analyzed and evaluated the degree of coupling and coordination of the eco-economic system in Yanchi County for the period spanning from 1983 to 2014. The eco-economic system can be divided into socioeconomic and ecological sub-systems and their relationship can reveal the interaction state between the two sub-systems and help the local government to establish a coordinated development mode. An index system was constructed to assess the development of the two sub-systems before the evaluation of the degree of coupling and coordination. The principal component regression analysis was adopted to quantitatively assess the influences of natural, economic and social factors on the degree of coupling and coordination of the eco-economic system. Results showed that, from 1983 to 2014, the development trends of both sub-systems were increasing with the ecological sub-system having more fluctuations. The degree of coupling and coordination of the eco-economic system in the study area increased gradually from 1983 to 2014, but experienced five different development stages from the verge of disorder to favorable coordination. The development of the local social and economic conditions was the most important factor influencing the degree of coupling and coordination. The second most important factor was the financial support from the local government. In addition, the environment protection policies also played undeniable roles. Due to the diversity of the influence factors, the government should take comprehensive measures to promote the sustainable development of the eco-economic system.

Spatial-temporal characteristics of the coupling coordination of social security and economic development in China during 2002–2018

Clarifying the relationship between social security and economic development is helpful to realize the sustainable social security system and the stable function of sustainable economic development.In this paper,the entropy method,coupling coordination degree,standard deviation ellipse model,and spatial autocorrelation were used to study the spatial-temporal characteristics of coupling coordination of social security and economic development in China from 2002 to 2018.The results indicate that the relationship between social security and economic development in China has been gradually strengthened in the process of mutual adaptation and common development.The benign interaction between the two was unstable,though the coupling coordination degree gradually transitioned to the primary coupling coordination type.Besides,from a spatial perspective,first,the coupling coordination degree of social security and economic development in China contracted in the east-west and north-south directions,and the coupling coordination clustered in the central region in this period;second,the coupling coordination degree generally presented a positive spatial autocorrelation,and regions with similar coupling coordination degrees were in a state of agglomeration;finally,the hot spots clumped together to form a continuous area in the eastern coastal area while the cold spots expanded toward the northwest and northeast.Furthermore,the random distribution areas exhibited a trend of contraction.

Coordinated Development of Tourism Economy and Ecological Environment Coupling in Mountainous Provinces:A Case Study of Guizhou

The degree of coupling coordination can reflect the intensity of interaction between multiple-indicator system,and can characterize the harmonious and consistent degree of benign correlation between them.It is an effective measurement method for analyzing the level of coordinated development of tourism economy and ecological environment coupling.Guizhou,a mountainous province,is taken as the research object in this paper.Using entropy method and coupling coordination model,the coordinated development level of tourism economy and ecological environment coupling during 2011-2020 is measured and analyzed,and the coordinated development strategies for the tourism economy and ecological environment coupling in Guizhou,a mountainous province,are proposed.

Relationship between Industrial Coupling Coordination and Carbon Intensity in the Bohai Rim Economic Circle

Coordinated development of new high-tech industries and traditional industries is crucially important for economic growth and environmental sustainability,and it has become a focus of academic and governmental bodies.This study establishes the comprehensive evaluation index system of high-tech industries and traditional industries,and uses the method of principal component analysis,coupling and coupling coordination degree model to determine the level of industry coordinated development.Then,Pearson correlation test is used to further analyze the correlation between regional industrial coupling coordination and carbon intensity of the seven provinces in the Bohai Rim Economic Circle(BREC).The results are as follows.(1)There is a negative correlation between industrial coupling coordination and carbon intensity.(2)The degree of industrial coordination of Beijing,Tianjin,and Shandong is significantly higher than other provinces in the BREC,as both the high-tech industries and traditional industries of these three provinces have reached a high level of development and achieved high coupling.The high-tech industries of the three provinces show positive changes,whereas the traditional industries show negative changes,which indicates that the new high-tech industries are driving the upgrading of the traditional industries by the application of high technologies.(3)From 2011 to 2016,the number of provinces with a low degree of high-tech and traditional industrial coordination fell from three to one.The traditional industries in Hebei and Inner Mongolia have been upgraded by strengthening their technological innovation with the introduction of rapid high-tech industrial development.These findings are a useful reference for regional industrial coupling coordination and carbon emission reduction.

Coupling coordination and evolution of finance,economy and ecological environment:The case of Silk Road provinces

Based on the comparative analysis of the coupling mechanism between finance,economy and ecological environment,this paper uses the coupling coordination degree and grey prediction model to measure the comprehensive evaluation value and coupling coordination degree of the financial,economic and ecological environment composite system of five provinces along the Silk Road in China from 2010 to 2019,and analyzes the evolution law of the coupling and coordinated development of finance,economy and ecological environment from the perspective of system coordinated development.The results show that:(1)The development of the financial and economic systems of the provinces along the Silk Road shows a relatively continuous and stable good trend,while the development of the ecosystem shows more obvious fluctuations.(2)In general,the overall level of the comprehensive evaluation of each system in the provinces along the route has shown a trend of improvement,but the level is not high.(3)During the investigation by provinces,it is found that the coordination level of the coupling coordination degree of finance,economy and ecological environment of each province is in three stages:moderate disorder,mild disorder,and imminent imbalance.However,Shaanxi Province has changed from imminent imbalance to barely coordination earlier,which indicates that there is regional heterogeneity in the three coupling coordination relationships among regions.(4)According to the calculation of the gray GM(1,1)model,the coupling coordination degree in Shaanxi Province will maintain a good upward trend and reach a intermediate coordination stage in 2023,while the other provinces will enter the barely coordination and primary coordination stages respectively with a slightly slower growth rate.Finally,based on the research conclusions,this paper puts forward some effective policy recommendations for the coordinated development of regional finance,economy and ecological environment,such as dredging the diffusion channels of regional financial resources,guiding market funds to participate in ecological project construction,and advocating the development of circular economy.

水资源-能源-粮食-生态系统耦合协调及驱动力分析

为加深对我国水资源、能源、粮食、生态系统协同演变趋势的认识,构建水资源-能源-粮食-生态多维系统指标体系,运用耦合协调度模型对我国2005—2020年水资源-能源-粮食-生态系统耦合协调度进行评价,并采用多因素归因分析法进行驱动力分析。结果表明:我国水资源-能源-粮食-生态系统耦合协调度从2005年的0.55增长到2020年的0.84,各地区耦合协调度从勉强协调发展水平过渡到中级协调发展水平,各子系统对耦合协调度上升的驱动分别经历了由粮食子系统到生态子系统再到水资源子系统主导的过程;能源子系统的贡献率虽然比较小,但是未来可能是各地区提升水资源-能源-粮食-生态系统多维系统协调发展水平的突破口。

生态农业培训效果的耦合协调度研究

为未来生态农业培训模式设计和创新实践提供理论和现实依据,进而为农业高质量发展提供政策启示,基于2012—2021年我国31个省(市、自治区)的相关统计数据,分析政策支持、市场竞争、环保意识、培训资源四个要素之间的耦合协调关系。运用耦合协调度模型,构建影响生态农业培训效果要素系统的协同度评价模型,分析政策支持、市场竞争、环保意识、培训资源四个要素之间耦合协调的时空演变特征。在此基础上,通过障碍度模型识别出制约生态农业培训效果的关键因素,探究我国生态农业培训效果影响要素耦合协调的变化趋势与制约因素。研究发现:2012—2021年全国31个省(市、自治区)四要素耦合协调度整体表现为上升趋势,由0.478增至0.565,增幅为36.61%,但耦合协调度相对较低;在空间分布方面,各省(市、自治区)四要素耦合协调度呈现显著正相关;各要素障碍度由大到小依次为:市场竞争、培训资源、政策支持、环保意识,影响各要素耦合协调的主要障碍因子为政策支持中的政府补助金额,市场竞争中的涉农院校数量,环保意识中的有机肥的投入量,培训资源中的培训场地面积。

黄河流域新型城镇化—生态安全—公共健康协调发展研究——以内蒙古自治区为例

探究黄河流域新型城镇化-生态安全-公共健康耦合机理,对于实现区域高质量发展、全面贯彻落实中国式现代化要求、维护国家生态安全和边疆安全具有重要意义。通过综合评价模型、耦合协调度模型和障碍度模型分析位于黄河流域中上游的内蒙古自治区新型城镇化-生态安全-公共健康耦合发展水平及影响因素。研究结果表明:2005-2021年内蒙古新型城镇化、生态安全、公共健康各子系统发展水平均有所提升,空间分异明显。新型城镇化水平由2005年的0.26提升到2021年的0.69,生态安全水平由2005年的0.26提高到2021年的0.57,公共健康水平在2021年达到0.64;新型城镇化、生态安全与公共健康耦合协调水平呈现波动增长态势,由2005年的0.22上升到2021年的0.62,表现为呼和浩特市、包头市耦合协调水平较高,其余盟市较低的空间格局;城乡居民基本医疗保险参保、人均GDP、城镇人均可支配收入等是制约系统协调发展的主要障碍因素,年均障碍度分别为17.32%、8.74%、7.33%。基于研究结果提出促进内蒙古新型城镇化-生态安全-公共健康协调发展的对策建议,旨在为实现区域高质量发展和推进中国式现代化建设提供支持和指导。

沿黄城市生态保护与高质量发展耦合协调时空演变分析

为丰富黄河流域生态保护和高质量发展研究,并为沿黄城市经济发展提供对策建议,分别构建生态保护和高质量发展评价指标体系,以60个沿黄地级市为样本单元,采用熵值法对指标赋权并计算2010—2020年沿黄各市生态保护指数、高质量发展指数,采用耦合协调度模型计算生态保护与高质量发展耦合度、协调度并划分协调等级,计算相对发展度以判断生态保护与高质量发展耦合协调类型,分析沿黄城市生态保护与高质量发展耦合协调动态演变情况,结果表明:2010—2020年沿黄城市生态保护与高质量发展协调度大都稳中有升、少数城市呈下降趋势,2020年协调等级整体上还较低,尚有37个城市处于失调状态,生态保护与高质量发展的耦合协调任重道远;从空间上看,沿黄城市生态保护和高质量发展协调度总体上呈现下游>中游>上游的格局,研究时段生态保护与高质量发展协调度平均值大小排序前十位的城市多为沿海城市或省会城市、后十位的城市多为各省(区)的边缘城市,地理位置、资源禀赋、政策扶持程度和经济发展模式等对耦合协调度有重要影响;2020年沿黄城市生态保护与高质量发展耦合协调类型为生态保护滞后型的城市有31个、为均衡型的城市有5个、为生态保护领先型的城市有24个,表明沿黄城市生态保护整体上滞后于高质量发展。

中国降碳-减污-扩绿-增长协同发展空间关联网络特征及影响因素研究

协同推进降碳-减污-扩绿-增长已成为我国经济社会发展全面绿色转型的必然选择。基于我国30个省份面板数据(不包含港澳台地区以及西藏自治区数据),运用熵值法、耦合协调度模型和社会网络分析方法,分析各省份间降碳-减污-扩绿-增长协同演变趋势及空间关联网络特征。结果表明:①各省份降碳-减污-扩绿-增长协同效应的变化趋势基本一致,但在空间上呈现东部>东北>西部>中部的区域不均衡特征。②降碳-减污-扩绿-增长协同效应呈现以东部地区为核心的复杂空间网络结构,省际间空间关联性呈上升态势,但网络结构稳定性还有待提高。③北京市、天津市和上海市等地区凭借优越区位,在关联网络中处于主导地位,而宁夏回族自治区、黑龙江省和新疆维吾尔自治区等地区对其他地区的影响较小。④北京市、天津市和上海市等地区属于“主受益”板块,浙江省、广东省等地区属于“经纪人板块”,安徽省、江西省和湖北省等地区属于“净溢出”板块。⑤降碳-减污-扩绿-增长协同效应的空间关联网络受多种因素共同影响,人力资本水平、科技投入、市场化水平和数字经济发展均有利于空间关联关系的建立。研究显示,中国降碳-减污-扩绿-增长协同效应存在空间关联性,需进一步加强省份间的绿色合作与交流,共同推动降碳-减污-扩绿-增长协同发展。

绿色金融发展与经济绿色转型:系统耦合及动态演进

要实现“碳达峰”与“碳中和”双目标必须加快经济绿色转型,绿色金融发展是经济绿色转型的重要工具,经济绿色转型为绿色金融发展提供更多的应用空间,两者相互影响。在绿色金融发展与经济绿色转型的理论内涵与耦合机理分析基础上,构建绿色金融发展与经济绿色转型的综合评价指标体系,并基于2011—2020年的省级面板数据,采用熵值赋权法和系统耦合协调度模型测度二者的系统耦合度和协调度,然后进一步采用Dagum基尼系数测算了系统耦合协调度的区域差异及其来源,采用Kernel核密度估计和马尔科夫链分析方法探究系统耦合协调度的动态演进趋势。研究结果表明,虽然样本期内我国绿色金融发展与经济绿色转型的整体水平依然偏低,但二者均呈上升趋势,而且二者相互促进、同步发展的趋势愈发明显。绿色金融发展与经济绿色转型的系统耦合协调度表现出明显的区域差异性,东部地区的系统耦合协调度水平最高,中部次之,西部最低,地区内差异和地区间差异是系统耦合协调度区域差异的主要来源,东部和西部的地区内差异逐渐扩大。各省绿色金融发展与经济绿色转型的系统耦合协调度虽然存在状态转移的可能性,但保持原状态概率较大。

粮食安全与生态可持续耦合协调研究——以长江经济带为例

基于2006—2020年长江经济带省际面板数据,构建粮食安全与生态可持续评价指标体系,利用熵值法测算长江经济带两系统的综合发展水平,运用耦合协调度与障碍度模型分析粮食与生态的耦合协调特征及其障碍因子。结果表明:(1)2006—2020年长江经济带粮食安全综合指数持续上升,生态可持续综合指数波动上升。(2)两系统耦合协调度呈良性增长趋势,表现为“西高东低”的空间分布特征且空间聚集性不断增强。(3)当年造林面积、城市污水日处理能力、居民人均可支配收入、地方财政环境保护支出和财政支农等是制约长江经济带粮食生态协调发展的主要障碍因子。

数据要素新动能对长江经济带制造业高质量发展的影响研究

论文选取长江经济带11省(市)2012~2021年相关数据,基于制造业高质量发展的“驱动力压力状态影响响应”评价指标体系,采用熵值法对长江经济带制造业高质量发展指数进行测度,并运用Tobit面板模型检验数据要素新动能对长江经济带制造业高质量发展的影响效应。结果表明:长江经济带制造业高质量发展保持“稳中向好”的发展趋势,五大子系统之间差异显著,制造业高质量发展水平呈现出“下游地区>中游地区>上游地区”发展格局,下游地区领先优势明显,区域发展不平衡问题仍然存在。数据要素新动能对长江经济带制造业高质量发展具有显著的推动作用,但分区域视角下影响不一,对上游地区正向促进作用显著,对中游地区负向抑制作用显著,对下游地区影响不显著。鉴于此,论文从区域分工协作、创新驱动发展、数字化人才供应方面提出对策建议。

中国枢纽城市航空通达性与经济带动效应耦合协调实证研究

航空通达性是影响城市经济带动效应的关键因素,两者耦合协调发展是落实国家区域协调发展战略的重要举措。在测度中国39个枢纽城市2010—2019年航空通达性及经济带动效应基础上,就两者耦合协调关系进行定量分析。结果表明:(1)枢纽城市航空通达性呈现“纵向整体改善,横向两极分化”格局,且国际枢纽城市通达性水平明显高于区域枢纽城市;(2)枢纽城市经济带动效应同样呈现“纵向稳步提升,横向两极分化”态势,国际枢纽城市经济带动效应显著优于区域枢纽城市;(3)枢纽城市航空通达性与经济带动效应耦合协调度呈现“纵向波动上升,横向梯次分布”格局;(4)“经济带动效应领先”型和“航空通达性领先”型是两者耦合失调的主要类型。因此,未来应进一步提升枢纽城市间航空运输市场联系强度、扩大腹地市场规模,协同推进航空通达性与经济带动效应耦合协调发展,从而实现枢纽经济与区域经济深度融合。

珠三角地区近20年城镇化与景观生态安全耦合协调分析

针对城镇化进程加快导致的珠三角地区生态景观胁迫程度日趋严峻,亟需加强区域生态保护的现状,构建新型城镇化与景观生态安全的耦合协调模型,定量测度2000—2020年珠三角地区城镇空间扩展与景观生态安全耦合协调时空格局以及发展状态,运用多元回归分析和灰色预测模型揭示其驱动机理,并预测2040年城镇空间扩展和景观生态安全耦合的发展趋势。结果表明:珠三角地区9市城镇化与景观生态安全的耦合协调度在20年间呈现缓慢波动上升的趋势,耦合协调度由2000年的0.305~0.436升至2020年的0.385~0.545,现处于拮抗耦合阶段,未来20年将继续向着协调同步、有序发展的方向前进。珠三角地区经济发展不平衡,城镇开发建设和生态环境保护难以同步发展,景观生态状况不乐观,生态环境滞后型的地市逐渐增多,尚未全面形成良好的协调发展状态。对外开放程度、经济发展水平、科技投入水平等因素对耦合协调度的影响较为显著(P<0.05),今后对于区域可持续发展需要加强耦合协调的机理研究,持续关注城镇空间拓展与景观生态安全的协调发展趋势及特征。

城镇化对长江经济带农业碳排放的影响及其耦合关系研究

基于区域一体化视角,使用长江经济带2000—2020年面板数据,多维度构建城镇化和农业碳排放指标体系,结合层次分析法和熵值法进行指标赋权,采用偏最小二乘法与耦合协调度模型定量分析二者的影响机制和耦合关系。结果表明:(1)城镇化主导类型呈现人口城镇化→空间城镇化→生态环境城镇化→经济城镇化→社会城镇化发展趋势。(2)农业碳排放空间差异显著,等级演变明显,唯安徽省和上海市一直处于最高级和最低级。(3)人口、经济、社会、生态环境城镇化是影响农业碳排放的四个重要维度,人均国内生产总值、人均教育经费、万元GDP能耗等7项指标是极重要因素。(4)城镇化与农业碳排放耦合关系呈增长态势,耦合度从磨合转向高水平耦合,耦合协调度由勉强协调发展为良好协调,说明二者共振性良好,趋于协调发展。

长江经济带旅游业-新型城镇化-生态环境耦合协调的时空动态演进及影响因素研究

以长江经济带11省市为研究对象,借助熵权-TOPSIS法和耦合协调度模型计算其2010-2021年旅游业、新型城镇化、生态环境系统(简称TUE系统)的发展水平和耦合协调度,并用标准差椭圆、地理探测器等分析其演化特征和驱动因素。结果表明:各省区TUE系统发展水平波动上升且空间差异显著,大体呈“三级阶梯状”;TUE耦合状态处于不断变化中,时间上呈平稳上升趋势、空间上呈东部和西北部高、中部和西南部低的“U”型分布格局;标准差椭圆及重心呈“东北-西南”格局,紧缩态势明显;核密度曲线均向右移动,各省区协调逐渐趋优,但省际内部差异明显;TUE系统耦合协调的空间差异受对外开放、市场需求等因子共同影响,交互作用呈双因子增强和非线性增强特征。