Digital-real integration and green economy have become an important driving force to propel logistics industrial transformation upgrading and sustainable development. This paper analyzed the impact of digital-real integration on the transformation and upgrading of the logistics industry and the role of green economy from the perspectives of endogenous growth theory, green development theory, and industrial organization theory. Utilizing the panel data spanning 2013 to 2022 from 11 cities in Hebei Province, China, this study established the measurement indicator systems of logistics industrial transformation and upgrading, digital-real integration, and green economy, and measured the integrated developmental level employing an entropy weight–TOPSIS–grey correlation model. Further, the benchmark regression model, moderation effect model, and threshold effect model were applied to delve into the influence mechanism of logistics industrial transformation and upgrading influenced by digital-real integration under the green economy. The research results showed that: Digital-real integration contributed favorably to the transformation and upgrading of the logistics industry. The green economy exerted a beneficial moderating influence on the process, where digital-real integration affected the transformation upgrading of the logistics industry, and the moderating effect of the innovation elements was significantly the strongest. Digital-real integration exhibited a single threshold effect, and the moderating impact of the green economy also had a single threshold condition, and once both thresholds were surpassed, digital-real integration significantly promoted the logistics industrial reformation and upgrading. Drawing from the aforementioned conclusions, this study advanced development recommendations in terms of strengthening regional cooperation, intensifying digital-real integration, exerting the effect of the green economy, and establishing dynamic monitoring and evaluation mechanisms.

To assist resource-based regions in overcoming the bottlenecks of industrial transformation and advancing high-quality development, this paper conducts an in-depth analysis of the internal mechanisms through which new quality productive forces contribute to high-quality development. Based on the construction of a measurement index system, a comprehensive measurement model is established, which includes three components: a coupling coordination degree model integrating the entropy method and grey relational analysis, an impact factor analysis model based on random effects Tobit regression, and a trend prediction model using the GM(1,1) approach. Taking Hebei Province as an example, an empirical analysis was conducted and relevant policy suggestions were proposed. The research findings are summarized as follows: (1) New quality productive forces promote high-quality development through driving, guiding, and synergistic mechanisms; (2) From 2013 to 2022, the coupling coordination degree across various cities in Hebei Province evolved from moderate imbalance to primary coordination, with the spatial pattern transitioning from “higher in the south and lower in the north” to a “central rise” phase, and finally to a stage of “all-round coordination”; (3) Forecast results indicate that inter-city coordination will continue to improve over the next five years; (4) Urbanization, scientific and technological innovation, and government intervention are identified as the core driving factors for promoting coordinated development. This study provides both theoretical methodological support and regional empirical evidence for the role of new quality productive forces in enabling high-quality development in resource-based regions.

Under the background of the normalization of COVID-19 prevention and control and the rapid development of e-commerce, community group buying has occupied the market by providing low-priced, fast, and green consumer goods, but with it, the logistics and distribution volume of goods has also increased sharply. In order to reduce environmental pollution and the carbon emissions caused by transportation in the community group buying logistics distribution, it is necessary to investigate a suitable method to optimize vehicle distribution routes and reduce carbon emissions. Taking the lowest total costs of logistics and distribution and the smallest carbon emissions, this article introduces soft time window function and carbon emissions parameters, takes the delivery of goods from the community group buying distribution center in Wu’an Town, Hebei Province to customer points in 14 townships as an example, an optimization model for the distribution route of low carbon vehicles for community group buying based on improved genetic algorithm was constructed, AHP-EW fusion technology was used to calculate carbon emissions and cost weights, and compared with the traditional genetic algorithm and ant colony algorithm two typical heuristic algorithms, the feasibility of the proposed model and the advantages of the improved algorithm are verified, and the research results showed that it can reduce the costs and carbon emissions of vehicle distribution, provide decision-making reference for community group buying logistics enterprise distribution, and promote energy conservation and environmental sustainable development.

With technological revolutions and new rural revitalization strategies, rural e-commerce logistics and agricultural modernization are becoming the focus of society. The purpose of the current study is to measure the coupling coordination state of regional rural e-commerce logistics and agricultural modernization, to analyze the obstacles to coordinated development, to forecast the trend, and to propose policy suggestions for coordinated development. Based on the theory of system coordinated development, this paper selects representative indicators reflecting regional rural e-commerce logistics and agricultural modernization, and constructs a coordinated development measurement index system. This paper also constructs a coupling coordination-obstacle degree model, adopting Handan City, Hebei Province as an example, using the data obtained from 2010 to 2019 to measure the coordinated development status of rural e-commerce logistics and agricultural modernization; and analyzes the obstacles affecting coordinated development. By introducing the grey prediction GM (1,1) model and by applying it to the research, the results show that the model is feasible, and the coordinated development level of rural e-commerce logistics and agricultural modernization in Handan City presents a fluctuating upward trend. The prediction results show that the coordinated development of rural e-commerce logistics and agricultural modernization will achieve good coordination in 2024, and relevant development suggestions are proposed. The research can provide some decision-making references for establishing the measurement model, an obstacle-factor analysis, and a trend prediction for the coordinated development of regional rural e-commerce logistics and agricultural modernization.

Under the concept of scientific and technological progress and new rural development, the relationship between scientific and technological innovation and rural revitalization is becoming closer and closer. The purpose of this study is to reveal the coupling coordination mechanism between the two and promote agricultural and rural construction and regional high-quality development through quantitative analysis and scientific decision making. This paper analyzes the systematic coupling mechanism of scientific and technological innovation and rural revitalization. An evaluation index system coupled with a coordination measure model and grey prediction GM (1,1) model are constructed. We demonstrate the implementation process of these models using data from Hebei province from 2010 to 2019. According to the application results, some suggestions for policy and measures are put forward. The results verify the coupling and coordination relationship between the two and the feasibility of the method. The results show that the state of coupling coordination of scientific and technological innovation and rural revitalization systems in Hebei province has transitioned from a mild imbalance to the primary coordination stage, and it is predicted that it will reach good coordination in 2024. This study provides theoretical and methodological support for the coupling coordination between regional scientific and technological innovation and rural revitalization and can serve as a useful reference for similar regional rural construction.

New urbanization in counties and the logistics industry are closely related and are essential in promoting regional economic and social development. There are specific challenges and obstacles to revealing the interaction mechanism and system state measurement between the two. This paper explains the two coupling mechanisms and constructs the evaluation index system. It proposes a new analysis method based on the coupling coordination degree model, the spatio-temporal evolution analysis, and the grey prediction model. The goal is to learn more about and fully realize the coordinated development mechanisms of the two. It then uses the Hebei province of China as an example to empirically analyze its systematic cross-sectional data from 2013 to 2022. Research findings: (1) In Hebei province, the new urbanization in counties and the logistics industry have a systematic coupling relationship. However, the logistics industry’s comprehensive development level is relatively lagging. The two systems have been at a high-level coupling stage for the last decade and maintain a high coupling status. The coupling coordination has shown significant improvement. (2) Although the geographical distribution of the coupling and coordination degree of the new urbanization in counties and logistics industry system has short-term volatility, it is still stable in the long term and presents economic-related spatial characteristics. (3) Over the next five years, the coupling coordination of 11 cities in Hebei province will steadily grow. There will be greater harmonization between the two systems. (4) From the analysis results, the evaluation index system of the coupled system constructed is scientific and reasonable. The analysis method can not only measure the system’s coupling degree, but it can also predict the development trend and analyze the spatial evolution. The technique has novelty and validity, which can be used as a reference for analyzing and making decisions about similar systems.