Regional Logistics Development Research Articles

Regional Logistics Demand Prediction Using BP Neural Network Based on Particle Swarm Optimization

Accurate regional logistics demand prediction is an indispensable part of a scientific and reasonable logistics construction system. This article mainly uses machine learning methods to screen features, select effective features, and then uses intelligent algorithms to optimize the BP neural network. The optimized model is trained and predicted for the future, optimizing research on regional logistics demand prediction, and providing effective suggestions for the development of the logistics industry. This article first uses the random forest algorithm to select features, eliminate redundant features, and then uses particle swarm optimization algorithm to optimize the parameters of the BP neural network to improve model performance. Finally, grey prediction is used to construct a prediction dataset, and the future trend of regional logistics demand is predicted, based on which suggestions are proposed. The results show that the optimized combination model proposed in this article can effectively improve prediction accuracy and make an effective contribution to the development of regional logistics.

Analysing micrologistics initiatives in rural areas – Approaches to typologise and assess complex logistics solutions in regional supply networks

While demand for regional products increases and societal expectations towards a regionalisation of production are on the rise in Germany, little attention is given to the logistical challenges of local producers. At the same time, rural areas are confronted with declining supply options for goods of daily needs. Logistical challenges in rural areas are primarily caused by a scarcity of actors, low or fluctuating quantities of goods and long transport distances. A lack of economies of scale makes supply and logistics very costly. Given the rising interest and new possibilities created by digitisation, numerous private and public initiatives are developing solutions for sustainable regional logistics to secure and improve supply in rural areas - so called micrologistics solution. However, a meta-analysis of such regional logistics solutions is missing that identifies similarities and differences and indicates which characteristics are essential for the development of long-term viable regional logistics solutions.This article therefore aims at providing a general overview and at systematising current micrologistics solutions in rural regions, introducing a typology which is based on a meta-analysis of approximately 80 micrologistics initiatives in Germany and beyond. Referring to two case studies – Smart Village St. Wendel and UCKER Warentakt - we then focus analysis on solutions aiming at providing goods of daily need to the population in rural areas. We share lessons learnt on their characteristics, challenges and factors of success. This is done using a specifically developed morphological box, a viability and impact-oriented assessment framework for micrologistics initiatives as well as results of interviews with initiators and operators of such initiatives. We conclude on the usefulness of the analytical approaches developed for this new research field as well as further research needs.

Influence of “the Belt & Road Initiative” on regional logistics development in China based on DID model

As a booster of the national economy and a catalyst of industrial development, the logistics industry uniquely maintains stable economic operations and promotes industrial structural adjustment. The development of China’s logistics industry has broadened the international market and accelerated the exchange and cooperation of logistics industries between different countries. The “Belt & Road Initiative” will continue to provide impetus for the development of China’s logistics industry, which can guarantee the infrastructure interconnection of the logistics industry and ensure the fundamental implementation of the initiative. Based on theoretical analysis and the panel data of 30 provinces in China during 2005–2020, whether the “Belt & Road Initiative” had obvious policy effects on regional logistics development in China was analyzed. The empirical research results showed that the “Belt & Road Initiative” could accelerate the high-quality development of the logistics industry in the provinces along the route during the research period. Industrial proportion, per capita GDP, import and export amount of goods, investment in fixed assets of the whole society, and science and technology input positively affected the development of regional logistics industries. The regression coefficient of the energy structure in the logistics industry was negative but not significant. The research results have important decision-making reference values in promoting the regional advantages of modern logistics industries, promoting the convenience of logistics trade, improving the scientific and technological level of the logistics industry, and using other exogenous policy variables to boost the high-quality development of modern logistics industries under the background of the “Belt & Road Initiative”.

Difference in regional logistics development level in China based on entropy weight TOPSIS and Dagum models

The high-quality development of the logistics industry, which is an essential and strategic industry supporting the national economic operation and a fundamental component of modern industrial system construction, is not only a key component of the high-quality development of the national economy but also the main driving force for the high-quality growth of the national economy. As the supporting industry of the national economy, the logistics industry will also face spatial disequilibrium during development. Therefore, to achieve the coordinated development of the logistics industry, the high-quality development and the spatial-temporal unbalanced development status of the logistics industry in each province must be figured out first. This research established a comprehensive evaluation system for the logistics industry development, which included 14 basic indexes based on the provincial-level panel data of 30 provinces in China during 2009–2020. Then, the regional logistics development level score in China was measured using the entropy weight TOPSIS method, and the differences in the regional logistics development level in China and the dynamic evolution law of their distribution were deeply explored through the Dagum Gini coefficient model. The research results revealed that the evaluation index system (14 basic indexes) for the regional logistics industry development level in China was relatively scientific and reasonable; the regional logistics industry development level in China was increasing year by year, showing a steady upward trend, and the imbalance in the eastern, central, and western regions regarding the regional logistics development was shrinking year by year; the average intergroup contribution rate was 36.33%, the intragroup contribution rate was 31.49%, and the contribution rate of intensity of trans variation was 32.19%, proving that the regional differences exerted a most extraordinary influence on the spatial differences in the regional logistics industry development level in China. The research results have important reference value for summarizing the meaning of high-quality logistics industry development, constructing the evaluation index system for logistics industry development, and exploring the reasons for the temporal and spatial differences in logistics industry development in China.

Study on the Influencing Factors of Regional Logistics on Regional Economy in Shanxi Province

With the acceleration of the pace of Belt and Road construction and the strategic deployment of the high-quality development of China's logistics service industry, the logistics industry has occupied an increasingly important position in the whole national economy and even the world economy. Shanxi Province is rich in coal resources and has a large demand for logistics and freight transportation. Therefore, the economic growth of Shanxi Province has put forward higher requirements for the development and progress of the logistics industry. In this situation and background, the development of regional logistics will be of great help to the progress and growth of the overall industrial economy in Shanxi Province. This paper takes the theory of modern logistics, regional economic growth and regional coordinated development as guidance, and discusses the coordinated development of logistics industry and economic sustainable development in Shanxi Province. Firstly, a series of theoretical analysis on the coordinated development of modern regional logistics, regional economy and the correlation between regional logistics and regional economy with the aid of data analysis software stata and the research results are summarized and summarized, trying to make some suggestions for the sustainable development of logistics and economy in Shanxi Province.

Проблема «Зангезурского коридора» в современной политике Ирана и России на Южном Кавказе

For many decades, the conflict between Armenia and Azerbaijan was one of the most important processes in Transcaucasia. He had the most direct influence on both the geopolitical and trade and economic situation in the region. In addition, the protracted nature of the confrontation and the inability of Yerevan and Baku to find common ground have become the main obstacle to the development of regional logistics. Therefore, the events that have unfolded in Nagorno-Karabakh since 2020 and the subsequent reconciliation between the conflicting parties have raised the hope among many that all problems will soon become a thing of the past. At the same time, it has recently become obvious that a number of regional players have decided to take advantage of the current situation. In this case, we are talking about Iran, which is making every effort to increase its regional status, including through new trade, economic and logistics projects. One of them could be the so-called “Araks Corridor” or “Iranian Path”, which should finally bury the idea of building the long-suffering “Zangezur Corridor”. And this is especially important at the present stage for Iran’s foreign trade and economic policy, when, on the one hand, there is a process of relative stabilization in the Armenian-Azerbaijani conflict, and, on the other, Iranian-Russian relations in the region are developing. The purpose of this article is to study the modern policies of Iran and Russia in the South Caucasus, in particular their position regarding the problem of the “Zangezur Corridor” in the context of a slight weakening of the confrontation between Armenia and Azerbaijan.

Path analysis of regional logistics and economy coordinated development: An fsQCA approach.

The coordinated development of regional logistics and the economy is crucial for regional economic progress and for reducing regional development disparities. This study applies regional coordinated development theory and coupling theory, utilizing the Coupling Coordination Degree Model (CCDM) to analyze data from 31 provinces and cities in China in 2021, with the analysis results serving as the outcome variable. Additionally, we use data from four dimensions: infrastructure investment (II), technological innovation (TI), industrial structure (IS), and human capital (HC), as the conditional variables, conducting a multi-factor configurational analysis using fsQCA. Three paths with high coupling coordination and one path with non-high coupling coordination are identified, and the reasons for each path are analyzed. The results indicate that: 1) there are significant regional disparities in China regarding economic development, logistics development, and the degree of their coupling and coordination, with the eastern regions exhibiting higher levels and the western regions and other remote areas exhibiting lower levels. 2) The three paths with high coupling coordination are: "Infrastructure Investment-Technological Innovation", "Technological Innovation-Industrial Structure-Human Capital", and "Infrastructure Investment-Fundamental Innovation-Industrial Structure". These three types facilitate the well-coordinated progress of regional logistics and the economy. The article concludes by highlighting policy suggestions that underscore the significance of fortifying the bond between the logistics industry and the economy, alongside earnest efforts to enhance regional logistics standards. This will foster a mutually reinforcing and co-developing situation, further promoting coordinated development among regions, achieving high-quality regional development, and reducing the imbalances in logistics and economic development among different regions.

A Bilevel Programming Model for Designing a Collaborative Network for Regional Railway Transportation and Logistics: The Case of the Beijing‐Tianjin‐Hebei Region in China

For the coordinated development of regional logistics, there is a need to break down the administrative barriers between cities and build an efficient and smooth regional logistics network. Integrating regional logistics resources to achieve cross‐regional optimal allocation is essential for efficient logistics networks. The accessibility and high capacity of the railway transportation network make it possible and necessary for the coordinated construction of railway transportation and logistics networks. This paper studies a bilevel programming model to analyse the collaborative network planning process of railway transportation and logistics. The objective is to take into account the existing layout of regional railway traffic network and the future needs of regional logistics. For the upper level of the bilevel programming model, the social, economic, and logistics service index of regional railway traffic nodes is considered to determine the numbers and locations of radiation of the cities. Meanwhile, the lower programming model uses a logistics gravity model, 0‐1 integer programming model, and logistics membership degree to calculate the logistics correlation between node cities and the radiation range of the hub cities. An empirical study of the Beijing‐Tianjin‐Hebei region in China shows the process and effectiveness of the bilevel programming model. Four distinctive logistics radiation circles, five trunk lines, nine hub‐spoke branch lines, and six branch lines are suggested. A railway traffic‐oriented regional logistics network provides a reference for regional railway traffic planning, thereby optimizing the allocation of regional logistics resources, improving the level of regional logistics services, and contributing to the development of the regional logistics industry.

The nexus between logistics competitiveness, logistics carbon emission efficiency and industrial structure upgrading: Evidence from China

The rapid development of the logistics industry has made considerable contributions to China’s industrial transformation and economy soaring. However, the improvement of logistics competitiveness often leads to high carbon emissions. Understanding the dynamic relationship between logistics competitiveness, logistics carbon emission efficiency, and industrial structure upgrading is of great significance for promoting the high-quality development of regional logistics under the context of the carbon-neutrality target. This study employed the panel vector autoregression (PVAR) model to analyse the relationship between logistics competitiveness, logistics carbon emission efficiency, and industrial structure upgrading based on the data from 30 provincial – regions in China for the period of 2007–2021. Meanwhile, the impulse response function was used to reflect the dynamic relationship between the variables of the model, and using variance decomposition to display the percentage change of one variable affected by another variable. The results show that there are self-adjustment effects in logistics competitiveness, logistics carbon emission efficiency, and industrial structure upgrading. Besides, a U-shaped effect is observed from the effect of logistics competitiveness on logistics carbon emission efficiency. It shows a negative impact in the short term and a positive impact in the long term. And it is the same as the effect of logistics carbon emission efficiency on logistics competitiveness, indicating the existence of the time-lag effect. Moreover, upgrading industrial structures has a positive promoting effect on both logistics carbon emission efficiency and logistics competitiveness. Thus, this research provides a unique perspective by exploring how to improve the development of the logistics industry by discussing the nexus between logistics competitiveness, logistics carbon emission efficiency, and industrial structure upgrading.

Analysis of the coupling coordination of logistics development level and environmental support system in central China and its spatiotemporal evolution

Abstract This research examines the synchronized progression of regional logistics and environmental support systems in China’s central region. Utilizing a comprehensive evaluation index system, the study employs a combination of entropy methods, TOPSIS analysis, and coupling coordination modeling to assess the development levels of regional logistics and environmental support systems across six central provinces from 2011 to 2020. The analysis focuses on comprehensive scores, coupling coordination degrees, and spatiotemporal evolution characteristics. The results indicate a synergistic relationship between the two systems in the six central provinces, with both comprehensive scores and coupling coordination D values demonstrating consistent growth over time. The study reveals a coordinated and orderly developmental pattern in the coupling and coordination relationship between the six provinces and the two systems within the central region. The overall degree of coupling and coordination in the central region exhibits a well-coordinated status, with provinces ranked as follows: Henan > Anhui and Hubei > Hunan > Shanxi and Jiangxi. This ranking demonstrates a spatial characteristic of high coordination in the middle and lower coordination at both extremities. The research identifies the underdeveloped state of regional logistics as the primary limiting factor. From the notable findings, this study’s conclusions offer valuable insights for policy formulation regarding the coordinated development of regional logistics and environmental support systems in China’s central region.

ДОРОЖНАЯ КАРТА ФОРМИРОВАНИЯ РЕГИОНАЛЬНОЙ ЛОГИСТИЧЕСКОЙ СИСТЕМЫ УПРАВЛЕНИЯ ЦЕПЯМИ ПОСТАВОК НА ПРИМЕРЕ ВИТЕБСКОЙ ОБЛАСТИ РЕСПУБЛИКИ БЕЛАРУСЬ

In the context of Western sanctions and restrictions caused by the COVID-19 pandemic, the relevance of managing regional supply chains is substantiated. A roadmap has been developed for the formation of a regional supply chain management system in the Vitebsk region of the Republic of Belarus, including the creation of a regional logistics development department as a center for coordinating participants in supply chains and flows; development of a regional digital platform as a tool for managing the supply chains of a certain territory; joining the platform of all potential participants of regional supply chains and other stakeholders; mapping of regional supply chains; managing risks associated with potential disruptions in regional supply chains; monitoring the efficiency of regional supply chains based on ESG principles. The proposed activities are aimed at sustainable logistics development of the Vitebsk region, as well as the transformation of the regional logistics system into a high-tech territory for communication, support for innovation, development of a circular economy and improvement of the environmental situation in the region.

The impact of logistic environment and spatial spillover on agricultural economic growth: An empirical study based on east, central and west China.

To vigorously promote the integrated development and mutual adaptation of agriculture and logistics is an important way to realize agricultural modernization and rural revitalization. Along with the policy support of agricultural industry chain and the steady rise of the demand for agricultural products market, the total amount of agricultural product logistics continues to increase, and the growth rate remains stable. With the booming development of "Internet + agriculture" and e-commerce platform, agricultural logistic market welcomes a new round of development opportunities, reaching several trillion yuan. Compared with the developed countries, our agricultural product logistics is still far behind. At present, only 15% of vegetables and fruits and 30% of fresh meat have professional logistic transportation, while most of the rest are still in the state of local and primitive. The gap of logistic environment construction and logistic elements determines the difference in final benefit of agricultural products. The purpose of this study is to find out the influence of logistic elements on regional agricultural economic growth, and whether the influence between neighboring regions presents "the same prosperity", "the same loss" or "sharing weal and woe". Based on the panel data of the statistical yearbook of 31 provinces in China from 2005 to 2020, the spatial Durbin model was constructed under the spatial weight matrix of economic distance and economic geographical distance to conduct empirical analysis, and the internal factors of logistics industry, factor spillover effect and its impact on agricultural economic growth were studied. Results showed that: (1) considering economic distance factor, the spatial coefficient of the time-fixed effects model passed the significance test in eastern China. Considering economic geographic distance factors, the individual and double fixed effect models passed the significance test in central China, and all models passed the significance test in western China. (2) From the perspective of logistic infrastructure, AVLFA, HM, TN and RM had a positive effect on the growth of agricultural economy in eastern China, but LIAV is on the contrary. AVLFA had a positive effect on agricultural economic growth, but TN was on the contrary in central China. In western China, LIAV and TN promoted agricultural economy while HM and RM held back it. From the perspective of the volume of logistics activity, both eastern and central regions did not pass the significance test, but FA was tested by the double fixed effect model and showed negative in western China. From the perspective of control variables, FU, AO and PT all promoted agricultural economy in eastern China, and FU and AO did the same in central and western China. PT was invalid in central regions and hindered agricultural economy in western China, which was different. From the perspective of spatial spillover effect decomposition, the eastern region presents "one prosperity and all prosperity, and sharing weal and woe", while the central and western regions present "one prosperity and all prosperity, and one lost and all lost". At last suggestions as formulating the overall plan for the development of regional logistics, paying attention to regional differences and promoting coordinated development of logistics and agriculture in light of local conditions, and paying attention to the spatial spillover effect of elements were put forward.

Comprehensive evaluation and spatial layout of high-quality logistics industry development based on accelerated genetic algorithm-projection pursuit model

Logistics industry is not only the link connecting economic activities, but also an important thrust to stimulate domestic demand. Under the development background of the new era, the high-quality development of logistics industry has become an indispensable force for high-quality economic development. Reasonable and effective evaluation is an important prerequisite to promote its high-quality development. Guided by the concept of high-quality development, it innovatively adds the dimension of logistics development resource cost. Based on the data of 31 provinces and cities in China from 2011 to 2019, in view of the limitations of projection pursuit, genetic algorithm and projection pursuit are organically combined, which were used to measure the high-quality development level of China’s regional logistics and analyze its spatial distribution characteristics. The reliability and accuracy of the evaluation results are improved, and the spatial information nature is analyzed by spatial exploration The results showed that the most important dimensions affecting the high-quality development of the logistics industry were logistics carrying capacity and technological innovation support. During the study period, there were significant differences in the high-quality development of regional logistics. The average annual logistics industry in the three provinces of Guangdong, Shandong and Jiangsu had relatively high level of high-quality development. By contrast, the development level of the three provinces of Tibet, Qinghai and Hainan was relatively low. In general, although the high-quality development of the logistics industry was increasing year by year, showing a trend of high level in the eastern region, followed by central region, low level in the western region, the gap had not been effectively shortened. In addition, the high-quality development of the regional logistics industry had a significant positive geographical correlation, showing a trickle drop effect in space.

Measuring the Level of High-Quality Development of Regional Logistics in China and Its Convergence

High-quality logistics development is an inevitable link to achieve high-quality economic development, and is the key to accelerate the comprehensive competitiveness of the regional economy and the national economy. In order to clarify the high quality level of logistics in China and explore the differences in the level and dynamics of high quality development of logistics among different regions, this paper constructs indicators for measuring the level of high quality development of logistics, measures the level of high quality development of China's logistics industry from 2013 to 2019 using DEA-Malmquist method, and explores the differences of high quality of logistics in different regions of China and their convergence using α convergence model. The differences in logistics quality among different regions in China and their convergence were explored using the α convergence model. It was found that the level of high-quality development of logistics in China showed an upward trend across regions, but there was heterogeneity among regions, with the eastern region significantly outperforming the central and western regions, and some cities in the western region showing a slight downward trend. The level of logistics quality development does not show α convergence trend across the country and the eastern and central regions, while the western region shows a continuous divergence trend.

Spatial Econometric Analysis of the Level and Influencing Factors of Coupling and Coordination between Regional Logistics and the Ecological Environment in China.

With the logistics industry becoming an important part of economic development, logistics activities have given rise to various environmental problems, which that affect the sustainable development of the ecological environment. In order to understand the status of regional sustainable development, it is of great significance to study the level of coordinated development of regional logistics and the ecological environment, and determine which variables will affect their coordinated development. To accomplish this objective, the entropy method is used to give the corresponding weight to each index and calculate the coupling degree and coordination degree of regional logistics and the ecological environment; next, the coupling coordination level of regional logistics and ecological environment in different provinces from 2010 to 2019 is measured by the coupling coordination degree model; then, we study the spatial effect of the influencing factors on the coordinated development level of regional logistics and ecological environment in 30 provinces of China from 2010 to 2019. At the same time, we investigate the spatial effect of each influencing factor on the coordination level. On the basis of the findings, relevant suggestions and measures are proposed. The main conclusions are as follows: (i) As China's economy is in the process of transformation to high-quality development, the coordinated development of regional logistics and the ecological environment is still at a relatively low level; (ii) due to the differences in the development basis of each region, the coordinated development level of regional logistics and the ecological environment is characterized by a regional imbalance; (iii) because of the significant spatial spillover effect, the coordinated development level of regional logistics and ecological environment shows obvious correlation in space.

Assessing the Development Level of Logistics for Sustainable Cities in Urban Agglomeration Based on a Multi-Layer Complex Network

Evaluating the development level of urban logistics can significantly inform policies for the sustainable development of each city in an urban agglomeration. This study analyzed the logistics development of 11 cities in the Guanzhong Plain urban agglomeration (GPUA) of China. Compared to traditional urban logistics evaluation methods considering individual attributes, this study constructed a multi-layer complex logistics network of urban agglomerations (MCLNUA) based on complex network theory, which takes into account the multiple connections between cities. The development levels of logistics in these cities were evaluated from a multi-dimensional perspective of “point–line–surface”, (the “point” represents the node characteristic index of the city, the “line” represents the strength and direction of urban logistics connections between cities, and the “surface” represents the cohesive subgroup of cities). An urban spatial hierarchy and corresponding spatial development plan for urban logistics were also developed. The results show that there are significant differences in logistics levels between different cities. The spatial structure of the overall network connections shows the pattern of being strong in the south and weak in the north, and strong in the east and weak in the west. There are differences in the strength of connections between cohesive subgroups. The research provides a reference for the sustainable development of regional logistics in other urban agglomerations.

Analysis of the Potential and Influencing Factors of Regional Logistics Industry Development from the Perspective of Supply Chain

The logistics sector has grown to be the most significant component of the modern service sector, and to some extent, it not only directly supports economic growth but also indirectly creates favorable conditions for business operations. Modern logistics can meet the needs of the modern economy and society by taking advantages and prospects of digitization and information technology. However, China has a number of difficulties while switching to the development of logistics since the level of modern Chinese logistics development differs. Additionally, the supply chain mode’s logistics is a comprehensive and integrated operation, so based on the issues with Chinese regional logistics development from a supply chain viewpoint, this study evaluates the development potential of logistics supply chain and the influencing factors from many angles.

Spatial Difference of China's Regional Logistics Development and Construction of Information Network Platform Based on Artificial Intelligence Technology Under the Background of New Economy.

Regional logistics is an important part of the regional economy. It plays an important role in optimizing the allocation of regional resources, promoting the upgrading of regional industrial structure, and promoting the sustainable development of regional economy. It is known as the “accelerator” of regional economic growth. Under the background of the expanding regional economic differences in China, this article focuses on the important components of regional economy, researching on regional logistics in different regions. This article focuses on the regional logistics development level, the internal mechanism of regional logistics promoting regional economic growth, the current situation and influencing factors of regional logistics development level differences, and the regional logistics development level differences. The purpose of this article is to study the application of artificial intelligence technology to the spatial difference analysis of China’s regional logistics development and the construction of information network platform under the background of the new economy. In this article, factor analysis is used to construct the index system. The research shows that the intensity of regional logistics connection is significantly enhanced, the regional logistics network is further improved, and a relatively complete multilevel regional logistics network structure is basically formed. In addition, there are great differences in the level of logistics development among regions. The characteristics of the spatial distribution circle in the eastern, central, and western regions are obvious, which is positively related to the economic development, in the Pearl River Delta with the strongest comprehensive competitiveness. The score coefficient of the Yangtze River Delta logistics area is 1.464, and the score coefficient of the northwest logistics weakest area is −0.328. The development of regional logistics can focus on the construction of logistics park, the construction of logistics network system, the progress of regional logistics technology, and the improvement of logistics efficiency. The construction of logistics park is conducive to the integration of regional logistics resources, improves the utilization efficiency of regional logistics resources, forms the economies of scale, and then reduces the transaction cost of the whole region.

Forecast of Logistics Demand in the Pearl River Delta Region Based on PCA-GA-SVM Model

Regional economic development is highly correlated with the change of regional logistics. This paper selects the freight volume as the representative index to reflect the development of regional logistics, and constructs the prediction index system of regional logistics demand. Accordingly, the principal component analysis method is used to reduce the data dimension of the prediction index, and the complexity of the prediction model. Further, the support vector regression model is optimized by genetic algorithm which is constructed by using the advantages of support vector machine algorithm in dealing with nonlinear and small sample size problems. The empirical analysis shows that the prediction model based on PCA-GA-SVM has very good prediction accuracy, it can provide valuable reference for regional logistics development and management.

Spatial-Temporal Evolution of Total Factor Productivity in Logistics Industry of the Yangtze River Economic Belt, China

The logistics industry plays a great role in the sustainable economic development of the Yangtze River Economic Belt (YREB). This paper measures the total factor productivity (TFP) of the logistics industry by using the DEA-Malmquist index method and analyzes its spatial-temporal evolution characteristics based on panel data of 11 provinces and cities in the YREB in 2003–2017. Lastly, a spatial autocorrelation analysis was conducted in conjunction with the exploratory spatial data analysis (ESDA) model. The results show that the overall development of the logistics industry has been relatively good, with an inverted “N” shape trend over the years. Technological progress is the main reason for the growth of TFP. From a regional perspective, it shows a spatial distribution pattern of high in the east and low in the west, with an overall upward trend of TFP levels. The spatial correlation between the TFP levels of logistics in each province and city is gradually increasing, but coordinated development between regions is still limited. Finally, according to the conclusions, policy recommendations are proposed to accelerate the coordinated development of regional logistics and the innovative development of the modern logistics industry.