Impacts of Globalization on Agriculture Logistics Efficiency in the Context of China

Under the analysis framework of output distance function,this paper makes overall measurement of rural Agriculture Logistics Efficiency( ALE) by constructing non-parametric production frontier function model using related panel date of 28 provinces over the period1994-2014 in China. The accession to the WTO is the most important milestone in the process of China's globalization. It employs the bi-directional fixed effects model and the difference in differences( DID) method to study the impacts of globalization( joining WTO) on ALE and its mechanism of action in the context of China. The results show that the WTO makes ALE of China generally increased by about 34. 2%,promoting ALE with a long-term dynamic gradual process; long-term impact of globalization on ALE is about 83. 3%,which is higher than shortterm effect; the promotion of ALE is obtained mainly by the improvement of rural logistics infrastructure,rural informatization level,regional division of agriculture and the quality of rural labor force brought by globalization; agriculture logistics professional level has not yet acquired obvious enhancement during the process of globalization in China so far.

Industry Linkage and Low-carbon Development--Based on Logistics Industry & Manufacturing Industry

Key project of " manufacturing industry and logistics industry linkage"was proposed in the Logistics Adjustment and Revitalization Plan by the state council in 2009. However the consumption and pollution generated by manufacturing industry and logistics industry linkage in China are also large at present. How to conduct manufacturing industry and logistics industry linkage by the low-carbon manner is one of most important issues under current low-carbon economy background. In this paper,the issue is studied and analyzed by constructing system dynamics model,which could propose suggestions for low-carbon linkage development of manufacturing industry and logistics industry.

Research on Incentive Mechanism and Analysis of the Obstacles in the Application of Low-carbon Logistics Technology

Low-carbon logistics technology is a modem technology with green environmental protection concept as the core, which can effectively reduce the carbon emissions of all links in logistics activities, and thus achieve the goal of maximizing the use of resources and reducing environmental pollution. With the deepening of the concept of environmental protection, the application of low-carbon logistics technology is not only an inevitable choice for adapting to social development and responding to environmental protection slogans, but also an inevitable choice for the logistics industry to achieve sustainable development goals. Based on the brief introduction of low-carbon logistics technology, this paper analyzes the main obstacles of the application of the technology, and proposes corresponding incentive mechanism according to the obstacle factors, aiming at alleviating the resistance in the practical application of low-carbon logistics technology and promoting the realization of low-carbon logistics development.

基于Logistic-ISM模型的医疗设备采购时间的影响因素分析

在卫生服务支付改革的大环境下,通过对医疗设备采购时间的影响因素分析,可以为医疗机构探索如何在DRGs医保支付下完善成本效益管理提供参考。该文是基于A省中医院2022年度采购医疗设备的相关数据,运用有序logistic模型来确定影响采购时间的因素,再通过ISM模型分析各因素之间的层次关系。研究结果表明:制度建设、专业人员素质、信息化程度、项目预算、审批速度等5个因素显著影响医疗设备采购时间。其中项目预算、审批速度是影响采购时间的直接因素,制度建设、专业人员素质、信息化程度是影响采购时间的根源因素。因此,提出加强制度建设、提高人员素质、发挥信息化技术优势等缩短公立医院医疗设备采购时间的建议。

The heterogeneous impact of China-Europe railway express on the efficiency of logistics industry in node cities

Purpose-The spatiotemporal compression effect of China-Europe Railway Express(CR-Express)can reduce the filow costs of resources between China's node cities.Additionally,it can break through the limitations of low-added-value marine products,significantly impacting the logistics industry efficiency.However,there are few literature verifying and analyzing its heterogeneity.This study explores the impact of CR-Express on the efficiency of logistics industry in node cities and analyzes the heterogeneity.Design/methodology/approach-First,this study uses panel data to measure the efficiency of node city logistics industry.Secondiy,this study discusses the impact of the opening of CR-Express on the efficiency of logistics industry in node cities based on the multi-period differential model.Finally,according to the node city difference,the sample city experimental group is grouped for heterogeneity analysis.Findings-The results show that CR-Express can promote the urban logistics industry efficiency,with an average effect of 4.55%.According to the urban characteristics classification,the heterogeneity analysis shows that the efficiency improvement effect of logistics industry in inland cities is more obvious.The improvement effect of node cities and central cities in central and western China is stronger,especially in the sample of megacities and type I big cities.Compared with non-value chain industrial products,the CR-Express has significant promotion effects on the logistics efficiency of the cities where main goods are value chain products.Originality/value-Under the background of double cycle development,this paper can provide a scientific basis for the investment benefit evaluation of CR-Express construction and the follow-up route planning.

Relationship between Low Iron Stress and Iron Efficiency of Soybean Varieties

We took the iron-efficient and iron-inefficient soybean varieties with significant differences in iron efficiency as the test materials,in order to ascertain the relationship between the low iron stress and the iron efficiency of soybean varieties.The results showed that through the principal component analysis,it was found that the contribution rate of the shoot light energy absorption factor and root morphological factor was the highest,reaching 41.0% and 67.2%,respectively.According to the eigenvector with high absolute value for the two factors,it was found that improving photosynthesis and root surface area could help to improve the ability of soybean to resist low iron.From the dynamic simulation results of Logistic equation,both V and Vmof the shoot and root of iron-efficient varieties were higher than those of iron-inefficient varieties;the low iron treatment postponed the time of the root of iron-inefficient varieties to reach Vm,while the iron-efficient varieties were resistant to the damage caused by the low iron to growth by improving root V.However,when the iron concentration was 0 mM,regardless of iron-efficient varieties or iron-inefficient varieties,the shoot V,Vmand △t were all low,indicating that the division of different iron efficiency varieties was relative,not absolute,and the ability of plant to resist stress was not only determined by its own characteristics,but also closely related to the degree of stress.

考虑非期望产出的我国物流业效率空间关联网络结构分析

深入研究非期望产出的我国物流业效率的空间关联网络对于推进物流业的低碳转型,促进物流产业区域协同发展具有重要的现实意义。基于2011—2020年我国内陆30个省份的数据,利用超效率SBM模型测算考虑非期望产出的物流业效率,借助修正的引力模型和社会网络分析方法对效率空间关联网络特征及其影响因素进行了分析。结果表明:考虑非期望产出的物流业效率空间关联效应已经突破了地理邻近范围,其空间关联网络结构较为稳定但松散。研究期内,空间关联网络中各地区物流产业辐射关联能力及中介作用表现情况不同。地理位置、经济发展水平差异、科技水平差异和政府支持力度差异对考虑非期望产出的物流业效率空间关联网络结构的形成有显著影响。

我国铁路货运效率与绿色物流发展耦合协调研究

铁路货运效率对绿色物流发展有重要影响,通过构建我国铁路货运效率投入产出评价指标体系和绿色物流发展评价指标体系,运用超效率DEA模型和熵权TOPSIS法分别测度2010—2020年我国30个省(市、自治区)的铁路货运效率和绿色物流发展水平,运用耦合协调度模型分析我国铁路货运效率与绿色物流发展耦合协调度,并用障碍度模型进行障碍因子诊断。结果表明:2010—2020年我国铁路货运效率呈先下降后上升态势,绿色物流发展水平呈持续向好态势;铁路货运效率与绿色物流发展耦合协调水平整体呈不断上升趋势,耦合协调等级由勉强协调演变成初级协调,耦合协调度仍有较大优化空间;通过障碍因子分析,发现铁路货运量、人均货物周转量、铁路货物周转量、物流设施用地面积和铁路里程对协调性影响较大。

基于Logistic回归分析的子宫异常出血患者子宫内膜息肉发生的预测模型构建及效能验证研究

目的探讨基于Logistic回归分析的子宫异常出血患者子宫内膜息肉发生的预测模型,为子宫内膜息肉的临床诊治提供参考依据。方法选取330例子宫异常出血患者,按照是否发生子宫内膜息肉将患者分为发生组(99例)与未发生组(231例)。对两组患者的基本情况[年龄、体质量指数(BMI)]、孕产次情况、月经情况、避孕情况、合并症情况进行观察和比较。结果预测子宫异常出血患者子宫内膜息肉发生的预测模型:P=1/[1+exp(4.227-1.165X_(1)-1.817X_(2)-2.029X_(3)-2.120 X_(4)-2.080X_(5))];Hosmer-Lemeshow拟合优度检验结果显示χ^(2)=7.993,P=0.434。结论年龄、产次、子宫内膜炎、子宫肌瘤和口服避孕药是子宫异常出血患者子宫内膜息肉发生的危险因素,基于Logistic回归分析构建的子宫异常出血患者子宫内膜息肉发生的预测模型拟合情况良好,具有临床应用价值。

“公转铁”政策对京津冀绿色物流效率的影响

为落实绿色发展理念,促进京津冀物流业高质量发展,有效发挥“公转铁”政策对绿色物流效率的提升效应,在系统梳理“公转铁”政策促进绿色物流效率理论机制的基础上,用2010—2020年京津冀地区面板数据,通过双重差分模型、广义双重差分模型和中介效应模型,研究“公转铁”政策对绿色物流效率的促进效应以及作用机制。研究发现,“公转铁”政策在京津冀地区的实施对提升绿色物流效率具有显著的促进效应,并且该效应在经过稳健性检验后依旧成立;政策实施力度对绿色物流效率存在显著的影响,绿色物流效率随着政策实施力度增强而不断提升;“公转铁”政策通过改变物流企业的运输方式偏好,增强铁路运输对公路运输的替代作用,提升绿色物流效率;绿色物流效率提升还受到铁路设施水平、区域建设水平、经济水平、创新能力等多种因素的影响。因此,京津冀绿色物流效率提升,应该考虑多种因素的综合影响,以多层次和系统性支撑政策推动“公转铁”政策的实施;以改变承担社会物流活动企业运输偏好为导向;充分考虑当地内外部环境,结合产业结构、创新能力等因素调整“公转铁”政策实施力度。

高质量发展下区域绿色物流效率评价研究

区域绿色物流是推进物流业绿色发展的重要元素。基于DFSO提出高质量发展视域下绿色物流框架并构建效率测度指标体系,运用改进三阶段DEA模型对中国30个省(市)进行实证研究,分析各因素对绿色物流效率的影响。结果表明高质量发展视域下省域绿色物流整体效率不高,地区差异明显,纯技术效率是制约其发展的主要因素;高质量发展各方面均对绿色物流效率有不同程度的影响,但二者间的协调仍处初级阶段。基于此,提出高质量发展视域下区域绿色物流效率提升的对策建议。研究能够为相关部门衡量高质量发展时期物流业绿色发展成效、精准施策提供参考。

基于DEA的绿色物流产业效能的评价

为评价双碳背景下的绿色物流产业效能并探索效能提升路径,采用DEA三阶段模型,以湖南省物流数据为研究样本,从科技角度选择创新发展指标,从三大产业与经济协调发展角度选取协调发展水平指标,从生态环境保护与减轻碳排放角度选取绿色发展指标,构建了绿色物流产业评价指标体系。评价结果表明:(1)湖南省的地级市之间绿色物流产业效能存在显著差异,环境因素对效能的影响较为明显,不同地级市之间的影响程度不同。(2)政府支持力度越大,投入冗余越少,越有利于绿色物流规模效益的形成;研发支出越多越有利于减少资源浪费,进而提高绿色物流产业效能。(3)DEA调整后由于技术性能的提升导致综合性能的变化,而技术性能又受外部环境和随机误差的影响。根据研究结果,从资源合理配置视角,提出湖南省绿色物流产业效能提升的路径。

碳排放约束下我国地级及以上城市物流效率研究

绿色发展是物流业健康发展的一个关键因素。借助非期望产出超效率SBM模型和Global Malmquist-Luenberger指数模型,分别计算在碳排放约束下2009—2020年中国339个地级及以上城市的物流效率和物流全要素生产率,再运用空间马尔科夫链揭示物流效率类型转移的空间溢出效应,最后通过泰尔系数和变异系数研究物流业全要素生产率指数在城市间与省际的区域差异。研究发现:(1)我国碳排放约束下物流效率呈上升态势,在空间上呈现出东部地区高、中西部地区低的特征,在逐渐通车的铁路干线与公路干线周围的城市物流效率提升明显。(2)同一时间段内,不同物流效率类型的城市对其邻近城市的物流效率转移有明显带动或抑制影响。(3)物流业GML指数值大于等于1的城市在全国各个地区分布大致均匀,物流全要素生产率受技术进步指数的影响较大。(4)省际物流业全要素生产率的差异明显高于城市间物流业全要素生产率的差异。基于结果分析提出在碳排放约束下提升物流效率和全要素生产率的对策建议。

中国物流业全要素碳排放效率测算及影响因素研究

“双碳”目标下,国家高度重视物流业的节能降碳.基于2007—2021年中国30个省份物流业的样本数据,采用超效率SBM模型测算全要素碳排放效率,进一步构建空间杜宾模型分析其影响因素.研究发现:①中国物流业全要素碳排放效率整体水平不高,省份、区域间差距较大,相邻省份空间正相关性显著;②选取经济发展水平、节能技术水平、产业结构、要素禀赋和城镇化水平为碳排放效率的主要影响因素,采用双固定空间杜宾模型分析其影响程度;③效应结果显示,经济发展水平、节能技术水平和要素禀赋对邻近地区的碳排放效率具有负向溢出效应,其他因素的影响具有正向溢出效应.最后,提出了提高我国物流业碳排放效率的对策建议.

数字技术对国家级物流枢纽城市集货效率的影响及区域差异研究

在分析数字技术对国家级物流枢纽城市集货效率影响机理的基础上,选取中国20个国家级物流枢纽城市2011-2021年的面板数据测算数字技术发展综合指数和城市集货效率水平及其区域差异,进一步实证检验了前者对后者的影响程度及区域异质性。结果显示,数字技术显著提升了国家级物流枢纽城市的集货效率。异质性分析发现,数字技术对城市集货效率的影响在中部城市和二线城市更为显著,这或许与它们还处于边际收益递增阶段有关。基于以上结果,提出加快数字技术健康发展以驱动国家级物流枢纽城市集货效率提升的全国总体性及区域差异性等对策建议。

快递行业驱动物流经济效率提升的机制探析——基于行业禀赋的内在约束效应

文中利用2011-2021年我国30个省份的面板数据,基于行业禀赋差异视角实证分析了快递行业规模对物流效率影响的约束特征,结果表明:我国快递行业规模扩张对物流经济效率的提升具有显著促进作用。同时,在行业规模的内在约束条件下,快递行业规模对物流效率的影响作用表现出明显的非线性变化,其对物流行业静态效率与动态效率的影响分别呈现出U型与倒U型变化特征。因此,要加大对快递物流基础设施的建设投资力度,加快推进区域全覆盖式的快递服务网建设,不断增强快递行业驱动物流效率的经济影响。

中国城市数字经济对物流业碳排放的影响效应及传导机制

在分析数字经济影响物流业碳排放机理的基础上,基于中国2011-2021年278个地级及以上城市的数据,采用非线性回归模型和分位数回归模型实证检验了数字经济对物流业碳排放的影响.研究表明:数字经济与物流业碳排放之间存在U型关系,且当前处于U型的上半部分.作用机制检验发现,数字经济主要通过技术革新和要素配置效率改进两条路径显著降低物流业碳排放,同时,数字经济对物流业碳排放的影响存在空间溢出效应,且存在城市自身规模与资源禀赋的异质性;进一步分析发现,数字经济的发展对物流业的碳排放具有显著的抑制和进化作用,随着分位数的增加,数字经济发展对物流业碳减排的边际影响递减.

基于GEEFDEA模型的省际物流业碳排放效率评价

物流行业作为能源消费和碳排放大户,是经济高质量发展与“低碳”战略的重要助推器、平衡杠杆,科学客观评价物流活动中碳排放效率是物流业低碳转型顺利进行的前提。文章借鉴已有研究成果构建物流碳排放效率评价指标体系,考虑碳排放作为非期望产出时总量固定的要求,采用GEEFDEA模型对我国30个省份2016—2020年间碳排放效率进行评价。结果显示:物流业整体碳排放效率较好,5年间的效率值呈现出先上升后下降的趋势;碳排放效率与地区的经济发展水平、产业布局密切相关。积极推动能源技术创新、数字化转型是提升物流业碳排放效率的重要途径。