Evaluation of Ecological Sustainable Development in the Yangtze River Delta Region Based on Ecological Footprint Theory

The ecological footprint was employed as a quantitative indicator of resource inputs,enabling a detailed account of the structure of biological resources and energy occupancy,as well as the variation of resource productivity in the Yangtze River Delta(YRD)Region.From 2004 to 2018,there were notable variations in the ecological productivity of different types of land on basis of China’s equilibrium factor across the three provinces and one city in the YRD region.Jiangsu Province exhibited the highest ecological productivity of arable land,while Anhui Province exhibited the highest ecological productivity of forest land.Shanghai City exhibited the highest ecological productivity of pasture land,while Zhejiang Province exhibited the highest ecological productivity of water area.In 2018,the proportion of arable land within the total ecological carrying capacity of the YRD region reached 74.35%.Furthermore,the contribution of Jiangsu and Anhui provinces to the YRD’s total ecological carrying capacity was 41.36%and 41.26%,respectively.In the construction of a new development pattern in the YRD region,which is dominated by the domestic cycle as the main body and mutually reinforced by domestic and international double-cycle,the YRD region should combine the utilization of natural forces with innovation in science,technology and cooperation mechanisms.Furthermore,the government should guide the concentration of social capital towards green industries.It is also recommended that the moderate reduction of ecological footprints should be encouraged,and that the security of biological resources and energy,the leadership in the field of cutting-edge science and technology should be ensured in YRD region.This will facilitate the formation of a new development pattern of higher-quality integration at the national level firstly.

Measurement of Digital Economy Development Level in Yangtze River Delta and Its Influence on Ecological Efficiency

Based on the panel data of 41 cities in the Yangtze River Delta from 2007 to 2018,this paper empirically tests the impact of digital economy development on urban ecological efficiency in the Yangtze River Delta.The results show that the development level of digital economy in Yangtze River Delta urban agglomeration is fluctuating and rising;the development of digital economy has a significant positive role in promoting the improvement of urban ecological efficiency;there is significant regional heterogeneity in the promotion of ecological efficiency by digital economy,especially in central cities.

A research on urban ecological environment evaluation system:Taking the Yangtze River Delta as an example

In this paper,we establish the evaluation index system of urban ecological environment from the perspective of urban ecological environment.We established two criteria level indicators and fourteen index layer program and calculate the level of each program index weight with the help of analytic hierarchy process.We take twenty-seven cities of Yangtze River Delta in 2013 and 2014 as an example and then analyze and rank them.The final results show that Shanghai,Suzhou,Hangzhou have relatively good ecological environment in the twenty-seven cities.

Thirty Vears Road,Integrating a Megacity——Economic Changes inthe Yangtze River Delta Over the Past 30 Years

As one of the most dynamic economic zones in China, the Yangtze River Delta has further increased its economic output,becoming more open to foreign investment and international cooperation over the past 30 years.Its economic stability and coordination have been strengthened;and the process of regional integration continues to accelerate.

Coupling Coordination Relationship between Ecological Human Settlements and the Happiness Levels of Residents in the Yangtze River Delta Urban Agglomeration

Promoting the coordinated development of ecological human settlements and the happiness levels of residents will help to promote people-centered high-quality development.This study was based on the 2011-2021 data of the Yangtze River Delta urban agglomeration,and constructed an evaluation index system of ecological human settlements and the happiness levels of residents.The entropy value method,coupling coordination degree model,Dagum Gini coefficient and Geodetector model were used to explore the coupling coordination relationship and influencing factors of these two systems.The findings indicate that ecological human settlements and the happiness levels of residents in the Yangtze River Delta urban agglomeration have shown an upward trend over time.By 2021,the overall level of the region had significantly improved.The coupling coordination level between these two systems has gradually increased,showing a spatial distribution pattern of high in the east and low in the west.The Dagum Gini coefficient shows a fluctuating downward trend in the overall and intra-regional differences,with the largest inter-regional difference between Shanghai and Anhui,and the inter-regional difference is the main source of the spatial differences.Economic development level(Eco)was the main factor influencing the coupling coordination of the two systems from 2011 to 2021.The results of this study provide references for constructing ecological human settlements and enhancing the happiness levels of residents.

Estimation of Ecological Water Requirements Based on Habitat Response to Water Level in Huanghe River Delta,China

In recent years,wetland ecological water requirements (EWRs) have been estimated by using hydrological and functional approaches,but those approaches have not yet been integrated for a whole ecosystem.This paper presents a new method for calculating wetland EWRs,which is based on the response of habitats to water level,and determines water level threshold through the functional integrity of habitats.Results show that in the Huanghe (Yellow) River Delta water levels between 5.0 m and 5.5 m are required to maintain the functional integrity of the wetland at a value higher than 0.7.One of the dominant plants in the delta,Phragmites australis,tolerates water level fluctuation of about ± 0.25 m without the change in wetland functional integrity.The minimum,optimum and maximum EWRs for the Huanghe River Delta are 9.42×106 m3,15.56×106 m3 and 24.12×106 m3 with water levels of 5.0 m,5.2 m and 5.5 m,corresponding to functional integrity indices of 0.70,0.84 and 0.72,respectively.A wetland restoration program has been performed,which aims to meet these EWRs in attempt to recover from losses of up to 98% in the delta's former wetland area.

Evaluating a river's ecological health: A multidimensional approach

Evaluating the health of river surface water is essential,as rivers support significant biological resources and serve as vital drinking water sources.While the Water Quality Index(WQI)is commonly employed to evaluate surface water quality,it fails to consider biodiversity and does not fully capture the ecological health of rivers.Here we show a comprehensive assessment of the ecological health of surface water in the lower Yangtze River(LYR),integrating chemical and biological metrics.According to traditional WQI metrics,the LYR's surface water generally meets China's Class II standards.However,it also contains 43 high-risk emerging contaminants;nitrobenzenes are found at the highest concentrations,representing 25e90%of total detections,while polycyclic aromatic hydrocarbons present the most substantial environmental risks,accounting for 81e93%of the total risk quotient.Notably,the plankton-based index of biological integrity(P-IBI)rates the ecological health of the majority of LYR water samples(59.7%)as‘fair’,with significantly better health observed in autumn compared to other seasons(p<0.01).Our findings suggest that including emerging contaminants and P-IBI as additional metrics can enhance the traditional WQI analysis in evaluating surface water's ecological health.These results highlight the need for a multidimensional assessment approach and call for improvements to LYR's ecological health,focusing on emerging contaminants and biodiversity rather than solely on reducing conventional indicators.

Green economic efficiency in the Yangtze River Delta:spatiotemporal evolution and influencing factors

Based on economic-social-resource-environment perspective,which people’s welfare was considered compared with the traditional perspective,using SSU and PP model,spatial analysis method,spatial econometric model to study green economy efficiency(GRE)of 26 Cities in the Yangtze River Delta from 2005 to 2015.The results show the following:Corrected GRE is markedly lower than conventional efficiency;Stage characteristics are obvious of GRE.An overall spatial pattern has emerged of lower efficiency in the east and higher efficiency in the west,and exist clear signs of spatial agglomeration.The spatial Dubin model has abetter fitting effect.The biggest direct effect on local green economic efficiency and spatial spillover effects on nearby areas is proportion of tertiary industry.

数字经济发展对长三角区域一体化的影响

发展数字经济与推动长三角一体化陆续成为了国家战略,将两项政策进行合理的衔接关系到新发展格局的构建。本文以长三角城市群为样本,在使用百度迁徙大数据测算区域一体化水平的基础上,将一体化分解为中心城市驱动与非中心城市驱动,分析了数字经济与区域一体化的关系。得到的结论为:(1)不考虑外溢效应,地区发展数字经济显著地促进了本地区融入长三角区域中,推进了区域一体化;(2)考虑外溢效应,地区发展数字经济会阻碍其他地区融入长三角区域中,产生效率的损失;(3)区域一体化本质是在地区间构建高质量的网络连接,构建过程存在星形网络和随机网络两种模式。政策的效率损失主要体现在非中心城市之间所构建的随机网络上,而非中心城市和中心城市之间所构建的星形网络产生了政策叠加的放大效果。因此,在发展数字经济的过程中,需要充分利用数字经济的连接功能,实现边缘地区与中心地区的高质量连接,更有效率地推进长三角区域一体化。

数字经济与绿色创新耦合协调度研究——以长三角地区城市为例

数字经济与绿色创新协调发展有助于推动经济可持续发展。文章以2011—2021年长三角地区41个城市为研究对象,运用时空统计方法,分析数字经济与绿色创新耦合协调度的分布动态演进特征、区域差异以及障碍因子。结果表明:长三角地区数字经济与绿色创新耦合协调度呈现逐年上升态势,空间上呈现“上海市>浙江省>江苏省>安徽省”的分布格局;长三角地区耦合协调度相对稳定,等级转移均发生在相邻类型之间,空间背景对耦合协调度具有较大影响;长三角地区耦合协调度的总体差异呈现下降趋势,其主要来源为区域间差异;不同地区的障碍因子存在较大差异。据此,在推进区域协调发展、制定差异化发展路径等方面提出建议,为推动长三角地区数字经济与绿色创新协调共进提供决策参考。

铁路网络联系对城市土地绿色利用效率的影响研究——以长三角地区为例

研究目的:探究铁路网络联系对城市土地绿色利用效率的影响及空间溢出效应,为依托铁路交通发展促进土地绿色利用效率提升提供科学依据。研究方法:超效率SBM模型,社会网络分析方法,空间面板模型。研究结果:(1)长三角城市铁路联系强度和土地绿色利用效率均呈现显著的增长趋势,土地绿色利用效率存在着较为明显的区域差异。(2)铁路联系强度的提高促进了本城市土地绿色利用效率的提升,与综合铁路联系相比,高铁联系对本城市土地绿色利用效率的提升作用更加明显。(3)铁路联系的加强促进了本城市产业结构合理化水平的提升和创新产出的增长,进而对土地绿色利用效率产生影响。高铁联系在促进本城市产业结构合理化水平提升和创新产出增长方面的作用更加明显。(4)城市对外铁路联系强度的提高产生了负向的空间溢出效应,抑制了邻近城市土地绿色利用效率的提升。研究结论:应充分发挥铁路建设在优化产业结构、促进创新方面的作用,依托铁路网络加强区域内经济技术合作、发挥各城市比较优势,以推动区域土地绿色利用效率的整体性提升。

区域一体化能够促进城市高质量发展吗?--来自长三角一体化国家战略的准自然实验

以长三角一体化国家战略的实施为准自然实验,在探究政策对高质量发展影响机制的基础上,基于2011-2021年114个城市的样本数据,运用渐进双重差分模型评估了该政策对于高质量发展的影响。研究表明:长三角一体化国家战略总体上显著提高了城市的高质量发展水平,且主要体现在经济层面,部分体现在社会层面;长三角一体化国家战略对高质量发展的影响,在不同规模城市和不同市场一体化程度城市中存在显著差异;长三角一体化国家战略通过降低市场分割和产业同构促进城市的高质量发展;交通运输能力和技术水平在长三角一体化国家战略对城市高质量发展影响中发挥着正向的调节效应作用。长三角一体化国家战略的实施,为生态发展、兼顾小城市利益和政策推广拓展了空间。

长三角科创金融一体化与高质量发展“双目标”路径研究

随着全球经济的快速发展与科技进步,区域经济一体化和金融市场的融合逐渐成为现代经济体系的重要组成部分。长三角地区作为中国经济最具活力和创新能力的区域之一,如何实现科技创新金融一体化与高质量发展的双目标,成为当前研究的热点问题。文章通过分析长三角地区科创金融的发展现状与面临的挑战,提出实现科创金融一体化和高质量发展的具体路径,为政策制定者和相关利益方提供参考。

绿色金融发展对碳排放的影响研究——以长三角区域为例

文章基于2010—2021年长三角区域41个城市的面板数据,运用系统GMM模型、中介模型和门槛模型实证检验长三角区域绿色金融发展对碳排放的影响。研究发现:长三角区域绿色金融发展有助于降低碳排放,其作用在大型及以上规模城市和创新能力较强城市中更为明显。机制分析发现,长三角区域绿色金融发展通过促进绿色技术创新和产业结构升级,进而抑制碳排放;在绿色技术创新这一传导机制中,策略性技术创新发挥着主要作用。门槛效应表明,长三角区域绿色金融发展与碳排放之间存在明显“倒U”型曲线关系。

长三角一体化城市群数字经济对物流业高质量发展的影响研究

以长三角一体化城市群为研究样本,运用2011-2020年长三角一体化城市群的数据实证检验该区域数字经济对物流业高质量发展的影响,并在此基础上进一步探讨其作用机制。研究结果表明:(1)长三角一体化城市群数字经济的发展能够推动物流业高质量发展,在进行稳健性检验后,结论依然成立;(2)从作用机制研究可以发现,长三角一体化城市群数字经济的发展能够直接推动物流业高质量发展,并且可以通过物流业全要素生产率间接推动物流业高质量发展;(3)异质性结果显示,经济越发达地区其数字经济的发展对于物流业高质量发展的推动作用越明显。根据上述研究结论提出三点政策建议:一是大力发展长三角一体化城市群数字经济与物流业,加强产业与城市间的交流合作;二是通过提高物流业全要素生产率来推动物流业高质量发展;三是根据不同城市的不同经济情况因地制宜地发展数字经济。

长三角地区县域城乡融合发展水平测度及影响因素分析

县域城乡融合是中国城乡关系演进新的阶段,是实现以县域为重要载体的城镇化与乡村振兴协同发展的关键。测度2010—2021年长三角地区152个县级行政单元的城乡融合发展水平,对时空演变特征与影响因素进行分析。研究表明:长三角地区县域城乡融合发展水平呈现波动上升趋势,并表现出生态融合>人口融合>空间融合>经济融合>社会融合的维度差异。空间分布上呈现出“东部为中心、向四周辐射”的“核心—边缘”结构特征。动态演变进程中呈现出低水平融合区逐渐向中等水平融合区的转变趋势。影响因素分析表明,财政自给率显著地促进县域城乡融合发展水平的提升,产业结构失衡、金融借贷比则与其呈显著的负相关关系,且各影响因素在不同县级行政单元人口规模和经济区位中均存在异质性。

基于机载高光谱遥感的长三角一体化示范区水质监测

本文基于机载航空高光谱影像数据对长三角生态绿色一体化发展示范区内“一河三湖”重点水域水质参数进行了反演研究。试验获取了示范区内全谱段高光谱影像数据,通过对机载遥感影像进行预处理,获得水体离水反射信息;在飞行时刻同步采集了水体样本与水体光谱,通过竞争性自适应重加权特征选择方法,选择最优波段参与反演模型的构建,并完成水质专题制图。模型验证集的决定系数R^(2)均达0.6以上,同时与水质监测站数据误差小于10%,实现了长三角一体化示范区的水质精确监测,证实了机载高光谱遥感对于水质参数的反演应用价值,为示范区发展赋能高质量。

长三角产业一体化高质量发展测度及时空演变规律

紧扣协议分工理论与高质量发展五大理念,采用面板熵权法测算了2007—2020年长三角41个城市产业一体化高质量发展水平,并综合空间探索性分析方法与空间马尔科夫方法揭示了长三角地区产业一体化高质量发展的空间分布特征与时空动态演变趋势。研究发现:①长三角地区的产业一体化、高质量发展及产业一体化高质量发展综合水平总体呈逐步上升趋势,且高质量发展水平高于产业一体化水平;②产业一体化高质量发展水平在空间上呈现“直辖市/省会城市高、东部高于西部、中心城市高于边缘城市”的特征;③各地区的产业一体化高质量发展具有空间依赖性,当周边城市等级高于本地区时,则会拉动本地区产业一体化高质量发展水平的提升,具有“扩散效应”;④长三角地区产业一体化高质量发展的聚类模式相对稳定,短期内不易改变。

“千万工程”与促进长三角地区共同富裕逻辑研究

党的二十大报告指出,中国式现代化是全体人民共同富裕的现代化。理清土地综合整治、“千万工程”与共同富裕之间存在的逻辑关系,对于探索长三角地区共同富裕差距及其成因、探究通过土地综合整治深化“千万工程”来促进长三角地区共同富裕的基本思路与路径具有重要意义。研究发现,土地综合整治与“千万工程”之间存在相辅相成的关系,共同富裕是二者的最终目标,构建共富单元则是实现共同富裕的有效途径。长三角地区内部及其省市之间的共同富裕差距主要由区位条件、资源禀赋、生态环境等因素的差异造成。在追求共同富裕和城乡一体化的背景下,应以高质量供给引领创造新需求为主线,基于土地综合整治和“千万工程”建设,推动国土空间资源要素配置与共同富裕现代化生产力布局优化相适应,在全域打造共同富裕现代化基本单元;推动“山水林田湖草”综合治理和“产城人文景生”融合发展,推进区域治理水平提升。

基于云模型和TOPSIS模型的区域综合交通发展水平评价

综合交通发展水平对区域经济具有重要的支撑作用,为准确评估区域的综合交通发展水平,综合考虑各影响因素构建了包含4项二级指标与30项三级指标的3层评价指标体系,为了降低主观性影响,基于云模型改进层次分析法计算评价指标权重,并结合TOPSIS评价模型计算评价对象各指标与最优指标之间的距离,得出各评价对象综合交通发展水平的优劣排序。以中国长三角地区为案例,通过该模型对其综合交通发展水平进行评价,结果表明:长三角地区中,江苏省综合交通发展水平较高排名第1位;上海市评分略高于浙江省排名第2位;浙江省评分较低排名第3位;安徽省排名最低。长三角应根据各指标计算结果及得分情况,结合各省市自身实际补齐交通短板,实现高质量交通一体化。