Technological innovation serves as a significant driving force for economic growth. Taking the nine provinces in the Yangtze River Basin as the research object and based on panel data from 2011 to 2022, the impact of technological innovation factors on industrial economic development was studied. Empirical findings reveal that the level of technological innovation factors has an overall positive influence on regional industrial economic development. Technological innovation significantly impacts industrial economic development through various means, such as optimizing industrial structure, enhancing production efficiency, driving consumption structure upgrading, and creating new economic growth points. After conducting numerous robustness tests, this conclusion remains valid. Finally, based on the research findings, policy suggestions are proposed to promote the coordinated development of science, technology, and the economy in the region.

As the forefront of technological innovation, industry occupies a central position in promoting the development of productive forces. Accelerating new industrialization is an inevitable choice for generating new productivity, shaping new competitive advantages and stimulating new economic momentum. From the perspective of qualitative reconstruction, new industrialization leads the improvement of the efficiency of labor materials, promotes the expansion of the scope of labor objects, stimulates the ability of workers to leap, reshapes the basic elements of productivity, and promotes the leap and qualitative change of its optimized combination, giving birth to new quality productivity. From the perspective of base support, new industrialization builds a solid base for the development of new quality productivity in five dimensions, namely, market, industry, numerical intelligence, safety and greenness, and empowers the emergence of new quality productivity in an omni-directional way.The process of new industrialization can be pushed forward from the network layer, innovation layer, application layer and linkage layer to accelerate the formation and development of new productivity.

With the intensification of global climate change, low-carbon economy has become a key goal for economic transformation in various countries. Financial support is crucial for promoting low-carbon economic development. Based on provincial data of China from 2012 to 2021, a spatial Durbin model(SDM) was constructed to analyze the impact of financial structure, vitality, efficiency, and density on low-carbon economy. The results indicate that financial structure and density have a negative impact on the development of low-carbon economy, while financial vitality plays a positive role. In addition, the development level of low-carbon economy in various provinces shows spatial correlation. Based on this, it is proposed to strengthen regional policy coordination, enhance the vitality of financial markets, and promote coordinated development of low-carbon economy regions.

With the coordinated development of the Beijing-Tianjin-Hebei Region entering a new phase, the optimization and upgrading of the port logistics system have become critical factors in driving the economic vitality of the hinterland. The entropy weight method and a coupling coordination model were used to quantitatively analyze the interactive relationship between port logistics and hinterland economy in the four major port clusters of the Beijing-Tianjin-Hebei Region from 2017 to 2021. The results indicate that the efficiency and service capabilities of port logistics in the four major port clusters improved during the period from 2017 to 2021, with Tianjin Port showing the most significant performance. However, its direct driving effect on the hinterland economy remains limited. The coupling coordination level between port logistics and the hinterland economy in the Beijing-Tianjin-Hebei Region is still in a stage of mild imbalance, with uneven development within each port cluster, indicating that further potential needs to be unlocked. It is recommended to enhance the coordination between port logistics and the hinterland economy by optimizing port functional layouts, aligning with hinterland industries, deepening port collaboration mechanisms, and improving infrastructure construction, thereby promoting high-quality and sustainable regional economic development.

:In view of the existing problems of limited development and lack of experience of tourism electronic map products, based on the Kano model and Better-Worse four-quadrant analysis, in-depth interview method, questionnaire survey method and other research methods were comprehensively used to discuss the quality needs of users’ information. From the three dimensions of technical function, aesthetic emotion and utility value, user’s information quality demand type and satisfaction of tourism electronic map products were analyzed. In order to improve the design strategy of continuously optimizing technical function experience, some strategies are proposed, including deeply mining aesthetic emotional experience and focusing on utility value experience in the tourism electronic map experience, so as to improve tourists’ satisfaction and happiness experience index for the electronic map.

With the increasing penetration of new energy such as wind turbine(WT) and photovoltaic(PV) output in the energy system, the consumption of new energy in the energy system has become an urgent problem to be solved. At the same time, shared energy storage continues to participate in the grid connection, and the trading relationship between shared energy storage and other participants in the energy system is also the key to the optimization of power scheduling in the energy system. In this context, taking the energy system with micro-grids(MGs) and shared energy storage (SES) as the research object, and considering the uncertainty of new energy output, the energy system scheduling mechanism was designed based on Stackelberg game. The results of example analysis show that the actual energy capacity and power capacity of SESC have decreased by 11.83% and 31.89% respectively, and the new energy consumption rates of MGS has increased to more than 90%. The Stackelberg game scheduling strategy improves the overall operating income and stability of the energy system.

Scientifically estimating and analyzing the spatiotemporal pattern, influencing factors, and scenario predictions of carbon emissions in Yellow River Basin is of great significance for its high-quality development. Firstly, DMSP/OLS and NPP/VIIRS nighttime light data was used to simulate regional carbon emissions from 2000 to 2022 and their spatiotemporal patterns and agglomeration characteristics were analyzed. Secondly, the influencing factors of carbon emissions were analyzed through an extended STIRPAT(stochastic impacts by regression on population, affluence, and technology) model and ridge regression method. Finally, based on the extended STIRPAT model, the development trend of carbon emissions in this region under different scenarios is predicted. The results show that from 2000 to 2022, total carbon emissions in the Yellow River Basin showed an upward trend, with a significant positive global spatial autocorrelation at the prefecture-level city level. Among them, Shanxi, Shaanxi, Ningxia, and Inner Mongolia provinces exhibited “high-high” agglomeration of carbon emissions, while Qinghai, Sichuan, and Gansu provinces exhibited “low-low” agglomeration. Total population, per capita GDP, the proportion of secondary industry output value to GDP, urbanization level, energy structure, and energy intensity all contribute to increased carbon emissions in the Yellow River Basin, while government intervention has an inhibitory effect.Under different scenario predictions, the green development scenario predicts that carbon emissions will peak in 2035, while under the extensive scenario, the peaking time is delayed until 2045.

To explore the spatial-temporal coupling coordination relationship between land intensive use and regional high-quality development in Yijingjing metropolitan area, AHP(analytic hierarchy process) and entropy method were used to evaluate and measure the land intensive use and regional high-quality development from 2010 to 2022, and then the coupling coordination between the two was analyzed based on the coupling coordination degree model and the improved Tapio coupling index. The results show that the comprehensive index of land intensive use and regional high-quality development maintained positive growth, and the development trend of the latter was more stable and rapid than that of the former, showing a distribution pattern of “high in the central and eastern regions and low in the western regions”. The comprehensive index of land intensive use and regional high-quality development shows the status quo of coordination and discoordination, and the coordination degree is more and more dominant, especially in Jingzhou City, which has mainly shown the land-leading coupling and growth coupling since the “14th Five-Year Plan”. With the promotion of policies and the implementation of measures, the land economic system of Yijingjing metropolitan area is increasingly coordinated and reasonable, and the intensive use of land still needs to be promoted efficiently.

Taking 17 cities in Henan Province as the research object, the level and regional differences of digital economy development in Henan Province were analyzed by using the entropy weight method and Dagum Gini coefficient. The influencing factors of digital economy development in Henan Province were analyzed by using the fixed-effect panel model. The results show that the level of digital economy in Henan Province showed an upward trend from 2013 to 2020, and the overall level of digital economy development in 2021 and 2022 declined. There is a digital divide and Matthew effect in the development of digital economy in Henan Province. The level of economic development, government intervention, education, urbanisation rate and openness have a positive impact on the development of digital economy in Henan Province.

Drawing on the coupling theory in physics, the coupling and coordinative mechanism of higher education agglomeration and regional innovation was analyzed, an evaluation index system of the two was established. Using the coupling coordination model to measure the coupling coordination degrees of the 11 cities in Zhejiang Province from 2005 to 2019, the spatial-temporal evolution process was analyzed by using spatial statistical tools. The results show that from 2005 to 2019, the comprehensive development index of higher education agglomeration in Zhejiang Province presented a fluctuating upward trend, and the comprehensive development index of regional innovation showed a spiral upward trend, higher education and regional innovation ability in Zhejiang Province has undergone an overall development, but there is an imbalance in the 11 cities. The coupling coordination degree of higher education agglomeration and regional innovation in Zhejiang Province is generally on the rise, the overall coupling coordination types was “near maladjustment and decline” in 2005, while the types became “grudging coordinated development” in 2019. The coupling coordination development level of higher education agglomeration and regional innovation in Zhejiang Province presented the spatial pattern of “coexistence of polarization-balance” and “obvious gradient differentiation of center-periphery”, the single-polarization pattern with Hangzhou as the pole transferred to the multi-center pattern with Hangzhou, Ningbo, Jiaxing as the centers, presents a gradient difference between northeast Zhejiang and southwest Zhejiang. Based on this, some countermeasures and suggestions are put forward for the coordinated development of higher education agglomeration and regional innovation in Zhejiang Province.