The Influence of the Urban-Rural Income Disparity on the Industrial Structure—Taking the Yangtze River Delta Region as an Example

In this paper, the effect of the mediation effect is mainly used to test and analyze the regression model, and most scholars have studied the impact of the modernization of the industrial structure on the income gap. However, this paper is from another perspective, based on the social background of high-quality development, the main study is the impact mechanism of urban and rural income gap on the industrial structure, taking the Yangtze River Delta as the main research object, and specifically selecting 22 central cities in the Yangtze River Delta region, which is also one of the highlights of this study. The regression model is constructed by using the intermediary effect, and the four intermediary variables of fiscal expenditure (M1), fixed asset investment (M2), number of patent applications (M3), and total import and export (M4) are selected, which represent the role of the government, fixed asset investment, scientific and technological level and opening-up level, and study and analyze the inherent influence mechanism between each variable. Before doing specific research, I consulted the papers and literature of many other outstanding scholars, among which Cheng Yuhong and Cheng Chi’s “The Influence Mechanism of industrial structure of urban and rural income gap” [1] has great reference value for this paper. According to the research results, under the background of high-quality development in the Yangtze River Delta region, the expansion of the income gap between urban and rural areas will inhibit the upgrading of the industrial structure, so it is necessary to focus on building a new type of urbanization, accelerating the construction of an urban innovation system, optimizing the rural employment structure to narrow the income gap between urban and rural areas, and providing impetus for the continuous upgrading of the industrial structure.

The Impact of the Upgrading of Industrial Structure in the Yangtze River Delta on the Urban-Rural Income Gap

Firstly,this paper conducts theoretical analysis and current situation analysis,and then proposes research hypotheses.Secondly,using spatial Dubin model and partial differential method,it empirically studies the impact of industrial structure advancement and rationalization on the urban-rural income gap.The results show that:(1)Both industrial structure and urban-rural income gap have significant spatial dependence;(2)The increase in the industrial structure rationalization will narrow the urban-rural income gap in local region,while its spillover effect on neighboring areas is not obvious.(3)The impact of the industrial structure advancement on the urban-rural income gap is not linear.It is first expanded and then narrowed.The industrial structure advancement in the Yangtze River Delta will generally narrow the urban-rural income gap at this stage.Finally,this paper put forward relevant suggestions.

Analysis on the Evolution of Agricultural Structure about Pan-Yangtze River Delta

Starting from the definition of agricultural structure,this paper firstly analyzes the change of industrial and spatial structure of agriculture of Pan-Yangtze River Delta,then inspects the relationship between the development of economics and the evolution of agricultural structure,an the end it provides policy recommendation about the development and adjustment of agricultural structure for the future.

City Network Evolution Characteristics of Smart Industry: Evidence from Yangtze River Delta, China

The dual-path model of industrial evolution and spatial progression has been widely acknowledged and incorporated into the strategic planning to promote the development of urban industries and regional collaborations.However,current research on inter-enter-prise city networks mainly focuses on the single sector of flows on all enterprise branches,such as product value chains and production factors,but neglects that of particular industry department.Built upon the new economic geography and city networks theory,this paper develops a methodological framework that focuses on the analysis of city network evolution characteristics of smart industry.Particu-larly,a conceptual model of smart industry enterprise-industry-city is proposed and then applied to a case study of smart industry in the Yangtze River Delta Region,China.Using enterprise supplier-customer data,a city network of smart industry is constructed and sub-sequently analyzed with the proposed model.Findings indicate that the smart industry network in Yangtze River Delta Region exhibits a hierarchical structure and the expansion of the network presents a small-world network characteristic.The study not only makes a meth-odological contribution for revealing the industrial and spatial evolution path of the current smart industry,but also provides empirical support for the formulation of new economic development policies focused on smart industries,demonstrating the role of city clusters as carriers of regional synergistic development.

Industrial carbon emissions and influencing factors in the Yangtze River Delta urban agglomeration

This paper calculates the industrial carbon emissions of the Yangtze River Delta urban agglomeration over the period 2006-2013. An empirical analysis is conducted to find out the influencing factors of industrial carbon emissions of the Yangtze River Delta urban agglomeration, using a spatial Durbin panel model. The results show that cities with larger industrial carbon emissions often enjoy low annual growth rates, while the cities with smaller ones enjoy higher annual growth rate; There exists a comparatively strong positive correlation in space in per capita carbon emission; urbanization, and total population. GDP per capita and international trade are the main influencing factors of industrial carbon emissions; There are spatial spillover effects on international trade and urbanization of neighboring cities, which have a significant impact on local industrial carbon emissions.

Green development of industries in Yangtze River Economic Belt

Green development is the keynote of Yangtze River Economic Belt. It must insist on ecology preferential and green development which is not only respectation of natural laws but also the economic laws and social laws. The article uses SWOT analytic method to analyze the internal and external surroundings of the green development of Yangtze River Economic Belt on the basis of getting a clear understanding of its present developing status. Based on this the article puts forward the strategy pattern and path selection of green development of Yangtze River Economic Belt.

Carbon sink response of terrestrial vegetation ecosystems in the Yangtze River Delta and its driving mechanism

The carbon cycle of terrestrial ecosystems is influenced by global climate change and human activities.Using remote sensing data and land cover products,the spatio-temporal variation characteristics and trends of NEP in the Yangtze River Delta from 2000 to 2020 were analyzed based on the soil respiration model.The driving influences of ecosystem structure evolution,temperature,rainfall,and human activities on NEP were studied.The results show that the NEP shows an overall distribution pattern of high in the southeast and low in the northwest.The area of carbon sinks is larger than that of the carbon sources.NEP spatial heterogeneity is significant.NEP change trend is basically unchanged or significantly better.The future change trend in most areas will be continuous decrease.Compared with temperature,NEP are more sensitive to precipitation.The positive influence of human activities on NEP is mainly observed in north-central Anhui and northern Jiangsu coastal areas,while the negative influence is mainly found in highly urbanized areas.In the process of ecosystem structure,the contribution of unchanged areas to NEP change is greater than that of changed areas.

Investigation of carbonyl compound sources at a rural site in the Yangtze River Delta region of China

Carbonyl compounds are important intermediates in atmospheric photochemistry, but their primary sources are still not understood well. In this work, carbonyls, hydrocarbons,and alkyl nitrates were continuously measured during November 2011 at a rural site in the Yangtze River Delta region of China. Mixing ratios of carbonyls and hydrocarbons showed large fluctuations during the entire measurement. The average level for total measured volatile organic compounds during the pollution episode from 25 th to 27 th November, 2011 was 91.6 ppb, about 7 times the value for the clean period of 7th–8th, November, 2011. To preliminarily identify toluene sources at this site, the emission ratio of toluene to benzene（T/B） during the pollution episode was determined based on photochemical ages derived from the relationship of alkyl nitrates to their parent alkanes. The calculated T/B was5.8 ppb/ppb, significantly higher than the values of 0.2–1.7 ppb/ppb for vehicular exhaust and other combustion sources, indicating the dominant influence of industrial emissions on ambient toluene. The contributions of industrial sources to ambient carbonyls were then calculated using a multiple linear regression fit model that used toluene and alkyl nitrates as respective tracers for industrial emission and secondary production. During the pollution episode, 18.5%, 69.0%, and 52.9% of measured formaldehyde, acetaldehyde, and acetone were considered to be attributable to industrial emissions. The emission ratios relative to toluene for formaldehyde, acetaldehyde, and acetone were determined to be 0.10, 0.20 and0.40 ppb/ppb, respectively. More research on industrial carbonyl emission characteristics is needed to understand carbonyl sources better.

长三角生态工业园区碳排放特征与深度脱碳路径研究

工业园区既是城市绿色低碳发展的主阵地,也是生态环境领域推动“双碳”战略落实的重要抓手。本研究基于长三角地区40家生态工业园区的能耗、生产总值(GDP)等数据,采用综合评价法、STIRPAT模型综合探究园区碳排放特征及其影响因素。结果表明,长三角生态工业园区碳排放强度大多集中在0.10~0.75 t·万元^(-1)区间内,但不同园区间存在显著差异。园区能源消耗以非化石能源为主,平均占比为59.3%。其中,上海园区的非化石能源占比(约为75.6%)最高,其后依次为安徽(68.8%)和江苏(59.8%),浙江最少(35.1%)。GDP与能源结构在园区碳排放总量驱动因子中占主导地位,而土地利用、产业结构和技术水平对碳排放总量的影响不明显。基于园区能源消费与碳排放特征,以及园区产业结构、工作基础等因素,本研究识别出长三角生态工业园区“源头减碳—过程控碳—末端降碳”的碳中和实施路线。

长三角产业合作区碳排放时空特征及影响因素

长三角产业合作区(简称“一地六县”产业合作区)是长三角三省一市唯一无缝衔接天然板块,系统分析地区碳排放时空异质性,探究其影响机理,对于构建区域间减碳协作机制、一体化推进“双碳”战略,实现长三角绿色低碳高质量发展具有重要意义。本文基于2010—2020年地区碳排放时空序列数据,应用对数迪氏平均指数法(LMDI)和基于岭回归估计的STIRPAT模型,研究地区碳排放驱动因素。结果表明:(1)“一地六县”产业合作区碳排放总量和人均碳排放量整体呈现波动上升趋势,其中,宜兴市碳排放量最高,郎溪县最低,除长兴县碳排放量波动下降之外,其余县(市)保持低幅度波动增长。各地区碳排放强度逐年降低,郎溪县和广德市处于高位,安吉县和长兴县处于中位,宜兴市和溧阳市处于低位,产业经济转型发展越好的地区碳排放强度越低。(2)2010—2020年,能源消费强度、产业结构对地区碳排放呈现负向抑制效应,分别促使碳排放减少2 536.27和266.62万t,而经济产出、人口规模、能源结构呈现正向助推效应,分别造成碳排放升高3 525.86、48.26和669.19万t。(3)经济产出、能源消费强度和能源结构是影响各县(市)碳排放变化的主导因素,能源结构、经济产出和能源消费强度因素每增加1%,碳排放量随之分别改变7.72%、0.61%和-0.000 4%。在长三角区域一体化发展上升为国家战略的时代背景下,“一地六县”产业合作区可从加强区域协同减排、优化能源结构和经济低碳化发展等方面对碳排放进行控制,逐步推进区域一体化绿色低碳发展。

长三角生态工业园区分布时空演化及其影响因素研究

生态文明建设示范区(生态工业园区)(以下简称示范园区)是新质生产力地理格局形成的关键推动者,把握其演进规律对于优化资源配置、深化园区绿色低碳发展具有重要意义。以长三角地区经正式命名的44个示范园区为研究对象,在明晰2007—2022年示范园区建设发展历程的基础上,系统分析示范园区在3个发展阶段的总体空间格局、集聚形态演化及空间方向迁移特征以及影响因素。结果表明:(1)示范园区发展历程具有明显的阶段性特征。(2)示范园区空间分布呈集聚特征,但均衡性总体增强,集聚形态由“一主两副”3个集聚中心逐渐演变为以苏锡常沪为集聚带的“一带多点”空间格局,分布范围呈向南北两端、向西偏移趋势,主要分布走势与京杭运河走向有较高一致性。(3)最佳参数识别可以显著提升组合分类的科学性,增强影响因素的解释力,工业产业基础、经济实力基础和政府引资力度是影响示范园区空间布局的核心因素,其后依次为环保基础设施投入、科研创新投入、科研技术水平和人力资源投入。建议充分重视影响因素的促进效应,强化示范带动作用,深化生态文明建设实践,驱动高质量发展。

长三角地区OFDI对先进制造业集群发展的影响研究

选取2004—2020年长三角三省一市的面板数据,在探讨长三角地区对外直接投资与先进制造业集群发展线性关系的基础上,采用静态门槛模型实证检验OFDI对先进制造业集群发展的对外开放度门槛效应。研究结果表明,长三角地区OFDI对先进制造业集群发展具有显著的抑制作用,同时在对外开放度的调节下具有显著的单门槛效应。当对外开放度低于或等于门槛值时,长三角地区OFDI对先进制造业集群发展呈现抑制作用;当对外开放度高于门槛值时,OFDI对先进制造业集群发展的影响则由抑制作用转变为促进作用。在不同门槛值下OFDI对先进制造业集群的影响呈现先负向后正向的特征。

长三角地区数字经济对高端装备制造业高质量发展的影响研究——基于有调节的中介效应分析

借助数字经济实现高端装备制造业高质量发展是中国式现代化建设的重要议题。本文基于长三角地区面板数据,利用有调节的中介效应模型检验了数字经济对高端装备制造业高质量发展的影响。结果发现:数字经济可以显著促进高端装备制造业高质量发展,稳健性检验后仍然成立;数字经济通过技术创新正向促进高端装备制造业高质量发展,且技术创新发挥部分中介效应;政府支持对技术创新的中介效应发挥正向调节作用;进一步异质性检验发现,数字经济对不同地区、不同细分行业高质量发展的影响存在显著差异。最后,从三个方面提出相关建议:构建全方位的区域协调发展机制,提升融合效能;聚焦重点领域,推动核心技术突破创新;聚焦制度创新,释放政策红利。

数字经济赋能长三角制造业高质量发展——空间溢出与机制识别

基于2011—2021年长三角地区41个城市的面板数据,采用主成分分析法和空间杜宾模型等方法实证检验数字经济对长三角制造业高质量发展的赋能效应及多重路径的综合作用效果。结果表明:长三角地区数字经济不仅能显著赋能本地制造业高质量发展,还对邻近地区制造业高质量发展有显著的促进作用,空间溢出效应占比为79.4%;数字经济赋能制造业高质量发展主要依赖于人力资本和物质资本积累,且人力资本与物质资本呈协同效应,消费能力路径与人力资本、物质资本均呈背离效应。

数字贸易、产业结构升级与制造业高质量发展--基于长三角样本的分析

基于2012-2021年长三角地区的相关数据,构建数字贸易、制造业高质量发展的指标评价体系,运用中介效应模型,对数字贸易作用于产业结构升级、推动长三角地区制造业高质量发展问题进行研究。结果表明,一方面数字贸易对长三角制造业高质量发展具有显著直接的促进效应;另一方面产业结构升级能够发挥部分中介效应,助推数字贸易对长三角制造业高质量发展产生正向影响。研究结论为数字贸易发展对长三角制造业的影响及相关政策制定提供了支撑和参考,对长三角制造业实现高质量发展有着一定的启示作用。

区域医疗器械发展态势分析——以粤港澳大湾区与长三角地区产业集群为例

目的 客观分析粤港澳大湾区和长三角地区医疗器械发展态势,评估各城市产业布局和发展水平,为国家、区域产业规划和政策制定提供参考。方法 从宏观区域、中观城市和微观产品布局3个层面定量分析并对比两区域医疗器械营收、企业和产品情况。结果 粤港澳大湾区和长三角地区是我国医疗器械集群发展区域,产业规模和营收位居全国前列,呈现明显的上升趋势。其中,深圳市、上海市、苏州市等城市医疗器械企业分布集中,生产第二类、第三类医疗器械的企业占比较高,且有较高的企业活跃度和新注册产品数量。粤港澳大湾区在体外诊断试剂(In Vitro Diagnostic Products,IVD)、医用软件、医用成像器械等方面的生产优势显著,长三角地区的产品布局在IVD、医用成像器械、治疗器械和高分子医用材料方面较为密集,区域内各城市之间形成一定互补。结论 两区域医疗器械发展优势明显,继续加强政策引导和科技、金融投入,激励产业产品持续提质升级,基于本地优势实现区域差异化互补,以及充分利用区位优势是两区域医疗器械产业可采取的发展策略。

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。

长江经济带新型城镇化与产业结构耦合测度及时空演化

新型城镇化进程与产业结构优化相互影响,共同推动长江经济带区域经济高质量发展。研究基于长江经济带11省份2014—2019年面板数据,运用熵值法分别测算新型城镇化与产业结构的综合指数,并测度两者的耦合协调水平,探究新型城镇化与产业结构耦合协调度的时空演化规律。研究发现:(1)长江经济带各省新型城镇化与产业结构优化水平均呈现逐年递增态势,且存在“东高西低”的空间分布特征。(2)2014—2019年,新型城镇化与产业结构耦合协调度从0.5630上升到0.6987,由“勉强协调”发展为“初级协调”水平。(3)时间上,两者间耦合协调度逐年提升,具有非均衡性特征,2014—2017年提升较快,2017—2019年提升趋缓;空间上,呈现下游、中游、上游逐级递减且较为明显的区域块状集聚特征,区域间差距在缩小。

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。

数字经济、产业结构升级与地区绿色发展——以长三角地区为例

抓住“数字经济”的契机,推动地区绿色发展,对于促进中国经济社会实现人与自然和谐共生的现代化、实现全方位绿色转型目标具有重要的现实意义。基于2011—2021年长三角27个城市的数据测算数字经济发展水平,并将其与地区绿色发展数据相结合,实证分析数字经济对地区绿色发展的影响。研究结果显示:数字经济能够有效推动城市绿色发展。机制分析揭示:数字经济通过促进产业结构升级这一间接路径推动绿色发展;数字经济具有空间外溢效应,但对邻近地区的绿色发展并未表现出显著促进作用。异质性分析表明:从数字经济不同维度的分析来看,各维度均对地区绿色发展产生显著的促进作用,其中数字基础设施建设的促进效果最为显著;从地区资源禀赋的角度来看,非资源型城市的数字经济发展能有效推动地区绿色发展;而资源型城市的数字经济发展则对地区绿色发展存在一定的抑制作用。因此,为进一步推动地区经济绿色转型发展,应积极推动数字经济的发展,充分发挥政府的主导作用,加快数字基础设施建设,构建完善的企业跨地区融合机制,提升产业结构水平,因地制宜实施地区差异化发展战略。