Coordination Model Research Articles

Progress in Digital Climate Governance in China: Statistical Measurement, Regional Differences, and Dynamic Evolution

The capacity for climate governance is crucial for sustainable advancement, with data elements being a pivotal production factor in contemporary governance. This study examines the trajectory and strategy of digital transformation in climate governance, creating a three-dimensional dataset encapsulating 11 primary and 36 secondary indicators to facilitate the assessment of digital climate governance. Employing spatiotemporal analysis and coupling coordination models, this study evaluates the digitalization levels in climate governance across 30 regions in China, examining how to progress digital integration from governmental and market perspectives. Findings reveal a consistent improvement in China’s regional digital climate governance, bolstering economic and social progress. Nonetheless, regional disparities and developmental lags persist, with convergence analysis indicating a divergence trend in provincial climate governance capabilities. Moreover, kernel density and Markov chain analyses suggest an ongoing evolution in regional digital climate governance efforts, aiming at achieving a higher development plateau. The study emphasizes the dual role of government and market dynamics in boosting digital governance levels, deducing from two-stage regression that effective government-market interplay is vital for elevating governance quality and fostering new productive forces, recommending an integrated governance mechanism for optimal synergy.

Coupling Coordination between Agricultural Eco-Efficiency and Urbanization in China Considering Food Security

When studying the coupling coordination relationship between agricultural eco-efficiency and urbanization, it is crucial to consider food security, especially in a populous country like China. This paper focuses on 31 provinces in China as the research units, covering the time period from 2000 to 2020. Based on the concept of agricultural eco-efficiency, an evaluation index system was developed to include undesirable outputs (carbon emissions), and agricultural eco-efficiency scores were calculated using the SBM–DEA model. An urbanization evaluation index system, covering six dimensions and twelve indexes, was constructed. A comprehensive index of urbanization is measured using the entropy method. On this basis, a coupling coordination model was applied to quantify the relationship between agricultural eco-efficiency and urbanization at the provincial scale in China. The results showed that the agricultural eco-efficiency of all provincial units in China exhibited an overall trend of improvement. Average efficiency followed a spatial pattern of majority grain-consuming areas > grain production–consumption balance areas > majority grain-producing areas. The level of coupling between agricultural eco-efficiency and urbanization is generally low. Currently, no regions have reached the stage of synergy or high-level coupling. Most regions are currently in an antagonistic stage with a coupling degree of 0.3 < C ≤ 0.5. The classification of coupling coordination levels changed from four levels of “severe imbalance”, “moderate imbalance”, “mild imbalance”, and “primary coordination” to “moderate imbalance”, “mild imbalance”, “primary coordination”, and “intermediate coordination”. The level of “severe imbalance” disappeared, the level of “intermediate coordination” appeared, and the level of “mild imbalance” became the largest scale level. From the perspective of food security, the proportion of grain production in the categories of “primary coordination” and “intermediate coordination” was less than 10%, and these provinces never achieved self-sufficiency in food production. The proportion of grain production at the “mild imbalance” level reached 62.4%, while the per capita grain production at the “moderate imbalance” level reached 846.7 kg. Provinces with lower levels of coupling coordination have stronger food security capabilities. It can be observed that the weaker the coupling coordination between agricultural eco-efficiency and urbanization, the higher the food self-sufficiency. Based on the research results above, we discussed strategies to enhance agricultural eco-efficiency in majority grain-producing regions by focusing on technological progress and technical efficiency. Additionally, we analyzed approaches to achieve grain self-sufficiency in regions characterized by a high level of coordination between agricultural eco-efficiency and urbanization, considering both production and trade dimensions.

Can the Establishment of National Parks Promote the Coordinated Development of Land, the Environment, and Residents’ Livelihoods?

National parks play a crucial role in the worldwide system of natural conservation, significantly influencing land utilization, the sustainability of local livelihoods, and the environmental integrity of nearby regions. In this study, the coupled coordination model and ArcGIS tools are applied to examine the temporal and spatial progression of the coordination of the system of land, the environment, and residents’ livelihoods (the LEL system). The construction of the LEL system and the use of natural geographic and socio-economic data are the main innovations of this research. The findings indicate that over the last 15 years, Wuyishan National Park has witnessed growth in its ecological and agricultural areas alongside a decline in its water-based ecological zones. The creation of the national park has obviously promoted the coordination of the LEL systems in nearby areas and has a significant spatial spillover effect. Consequently, for the upcoming development of Wuyishan National Park, it is crucial to modify the framework of the agricultural sector, enhance local public infrastructure, and bolster the safeguarding of water ecological areas.

Multiphonon-coupling yellow laser in Yb:La2CaB10O19 crystal

Yellow lasers at 590 nm have many extensive applications in our daily life, but extremely difficult to attain by traditional solid-state laser technology, owing to the absence of highly-efficient transition channels at this spectral range. In this work, we proposed a cooperative lasing mechanism to obtain the yellow light emission, with multiphonon-assisted electronic transitions and phase-matched frequency-doubling. Based on the predictable configurational coordinate model, we can calculate the multiphonon-assisted emission step-by-step. Using Yb3+-doped La2CaB10O19 crystal as an example, it is capable of producing yellow laser at 581–590 nm, with a maximum output power of 4.83 W and a high slope efficiency of 31.6%. To the best of our knowledge, it represents the highest power of solid-state yellow laser realized in one single crystal pumped by a laser diode. This power scaling can be assigned to the amplified phonon-assisted emission beyond the fluorescence spectrum, and optimized crystal angle for phase-matching condition. Such a compact, low-cost, and high-power laser device, provides an alternative candidate for the spectral “yellow-gap” where no practical solid-state laser exists at present.

Study on the Coupling Development of Xi 'an Tourism Economy and Transportation

Taking Xi 'an City as the research object and taking 2015-2021 as the time dimension, this paper constructs an evaluation system for the development level of tourism economy and transportation. On this basis, the coupled coordination model is used to analyze the spatial and temporal characteristics of the coupled and coordinated development of tourism economy system and transportation system. The results show that both the comprehensive evaluation index and the coupling coordination degree of Xi 'an city increased year by year from 2015 to 2019, and the interaction between them became stronger and stronger. The relative development index in 2020 is less than 0.9, indicating that transport has insufficient support for tourism economic development, and it is less than 0.6 in 2015 and 2016, indicating that transport has not fully played its role in tourism economic development.

Spacetime magnetic hopfions from internal excitations and braiding of skyrmions

Spatial topology endows topological solitons, such as skyrmions and hopfions, with fascinating dynamics. However, the temporal dimension has so far provided a passive stage on which topological solitons evolve. Here we construct spacetime magnetic hopfions: magnetic textures in two spatial dimensions that when excited by a time-periodic drive develop spacetime topology. We uncover two complementary construction routes using skyrmions by braiding their center of mass position and by controlling their internal low-energy excitations. Spacetime magnetic hopfions can be realized in nanopatterned grids to braid skyrmions and in frustrated magnets under an applied AC electric field. Their topological invariant, the spacetime Hopf index, can be tuned by the applied electric field as demonstrated by our collective coordinate modeling and micromagnetic simulations. The principles we have introduced to actively control spacetime topology are not limited to magnetic solitons, opening avenues to explore spacetime topology of general order parameters and fields.

Research on Green Process Innovation Enabling the Synergistic Effect of Pollution Reduction and Carbon Reduction

Achieving the objective of "peak carbon dioxide emissions and carbon neutrality" in the new stage of development will require the synergistic effect of pollution reduction and carbon reduction. In the new stage of development, achieving the goal of "peak carbon dioxide emissions and carbon neutrality" will necessitate the synergistic effect of pollution reduction and carbon reduction. This study assesses the degree to which pollution reduction and carbon reduction have a synergistic effect using the coupling coordination model, and uses the fixed effect model, the dynamic panel GMM model, the OLS model and the threshold effect model to examine how green process innovation affects pollutant reduction and carbon reduction synergistically, including direct, heterogeneous, and nonlinear effects. The results show that: firstly, green process innovation has a direct promoting effect on synergistic effect of pollution reduction and carbon reduction; Secondly, due to the differences in the economic development of different regions in China, the impact of green process innovation on the synergistic effect of pollution reduction and carbon reduction is heterogeneous in different regions, and presents a gradient distribution of "east > west > middle". Finally, there is a threshold effect in the impact of green process innovation on regional synergistic effect of pollution reduction and carbon reduction. This paper provides some reference value for promoting green process innovation and enhancing the collaborative impact of mitigating pollution and decreasing carbon emissions.

Coupling and Coordination Research on Green Finance and Ecological Civilization Construction in Xinjiang

Since the national proposal to construct a green financial system, Xinjiang has three pilot areas for green finance. The connotation of green finance shares similarities with the basic requirements of ecological civilization construction. This paper analyzes the coupling mechanism between green finance and ecological civilization construction, and conducts research based on the coupling coordination model. Through the study, it is found that the ecological civilization construction in Xinjiang is improving year by year, while the development of green finance fluctuates significantly. However, the overall trend of both tends to be of high-quality coordinated development. Green finance and ecological civilization construction can promote each other, fundamentally being a complementary relationship. Therefore, from the perspective of promoting the development of green finance, it is believed that Xinjiang should promote the development of green finance from three dimensions: broadening the sources of green finance funds, improving the mechanism of matching supply and demand of funds, and enhancing the efficiency of fund allocation.

Coordination between scientific and technological innovation and the high-quality development of Baijiu industry: The coupling and decoupling perspective.

The Baijiu industry is a significant contributor to both the food industry and the light industry. Its high tax characteristics effectively promote the sustainable development of the regional economy. First, the evaluation index system of scientific and technological innovation (STI) and high-quality development of Baijiu industry (HQDBI) were constructed. The entropy-improved CRITIC method was used to measure the weights. Second, the coordination relationship and evolution trend of STI and HQDBI were explored using the coupling coordination model and the Tapio decoupling model. Then, the transfer law and key influencing factors were further investigated using the Markov chain and grey correlation, respectively. The main contribution is the dynamic evolution of the coupling and decoupling relationships from the perspective of multiple Baijiu provinces, and deeply depicts the coordination relationship and evolutionary trends of STI and HQDBI. The results show that: the spatial distribution of the coupling coordination degree shows high values in the east-west and low values in the north-south characteristics. In 2021, a pattern of coordinated development in Baijiu provinces has emerged along the Yangtze River basin. The decoupling state is mainly strong decoupling, but it remains poor in Shanxi. The coordination process is unstable and difficult to achieve leapfrog development. Coordination, sustainability and innovation environment have a greater impact on the coordination of subsystems.

Co-optimize recovery modeling for transportation and power network with multi-type mobile resources dispatching

The dispatching of repair resources and mobile energy storage systems (MESSs) is essential for rapid recovery of distribution systems (DS) after extreme events. However, while causing high losses to power system, extreme events also significantly affect normal operation of transportation network (TN). Therefore, the coordinate recovery model of transportation and power network (TPN) is introduced. The dispatching model of road repair crews (RRCs) and shortest road update model will involve plenty of variables, which are extremely time-consuming. To address this issue, firstly the coupling nexus between TPN and multi-type mobile resources (MMRs) is analyzed. Then, the concept of road island and radial constraints of road repair are introduced to simplify the update of transportation topology and shortest path searching. Finally, we propose a coordinate recovery model of TPN considering the dispatching of MMRs. The case analysis demonstrates that comprehensive recovery strategy of TPN are generated to improve power recovery, especially by power transfer of MESSs, topologized by the behavior of RRCs for TN, and topologized by the behavior of line repair crews (LRCs) for DS. The simplification method reduces model scale and computational complexity, significantly improves the solution efficiency.

An Efficiency and Coupling Analysis of Chinese Regional Economic and Environmental Sustainability Based on a Super-SBM Model and Coupling Coordination Model

This study presents a two-stage framework for analyzing the coupling mechanism between regional sustainable economic development and environmental protection subsystems. We propose a modified super-slack-based measure (SBM) model to evaluate efficiency and apply a coupled coordination model to measure the coordinated development levels of regional economies and environments. Subsequently, we assess the economic and environmental efficiency and coordination levels of 30 Chinese regions from 2011 to 2019. The findings indicate a strong synchronization between regional economic development and environmental protection, whereby regions with better economic development exhibit superior environmental protection measures. Regional technical inefficiency is primarily attributed to scale inefficiency, although the overall developmental trend is predominantly determined by pure technical advancement. While the synchronization between the economy and environment remains highly robust, over time, the coordination level gradually diminishes, transitioning from a state of well-coordinated and orderly development to dysfunctional and disorderly recession. Noticeable regional disparities in efficiency and coordination levels are apparent among the eastern, western, and central regions, with the central region demonstrating exemplary performance across all aspects. To promote sustainable high-quality coordinated development, regions with limited capacity should prioritize economic construction. Conversely, in other regions, the simultaneous promotion of economic development and environmental protection would be more appropriate to achieve a higher level of coordinated regional development.

Analysis of the Current Situation of Sustainable Development of the Yangtze River Economic Belt based on SDGs

This paper evaluates the level of sustainable development of 11 provinces and cities in the Yangtze River Economic Belt from 2011 to 2020, and analyzes its spatial and temporal differentiation and trend evolution characteristics. This paper adopts the coupling coordination model based on CRITIC-entropy weight combination weight, spatial autocorrelation model, spatial Markov chain and other methods, based on the measurement indicators of the United Nations Sustainable Development Goals, and conducts a comprehensive evaluation from four aspects: innovation-driven, welfare guarantee, resources and environment, and economic development. The research results show that the sustainable development level of the Yangtze River Economic Belt presents the characteristics of continuous improvement, regional difference, hierarchical leap, spatial dependence, spillover effect, etc. According to the research findings, this paper puts forward some suggestions, such as strengthening regional coordinated development, optimizing spatial planning and governance, coordinating policies and work, promoting rule of law and innovation, etc., aiming to promote the high-quality development of the Yangtze River Economic Belt, achieve the coordinated development of economy, society and ecology, and localize the SDGs. This paper’s research has important theoretical significance and practical value for deeply understanding the current situation and problems of sustainable development of the Yangtze River Economic Belt.

A Study of the Spatiotemporal Evolution Patterns and Coupling Coordination between Ecosystem Service Values and Habitat Quality in Diverse Scenarios: The Case of Chengdu Metropolitan Area, China

The global ecological decline resulting from urban development presents a significant challenge for numerous regions striving to reconcile conservation efforts with developmental needs. This study explores the relationship between ecosystem service value (ESV) and habitat quality (HQ) under various scenarios to elucidate prospective development trajectories. This study utilized the PLUS model to simulate land use patterns in the Chengdu metropolitan area across four distinct development scenarios. Furthermore, it employed the equivalent factor method and the Invest model to quantify ESV and HQ values, and investigated the coupling coordination between ESV and HQ for each city using a coupling coordination model (CCM). The findings are as follows: (1) Between 2000 and 2020, land use in the Chengdu metropolitan area primarily expanded through the development of construction land. (2) Concurrently, ESV demonstrated a fluctuating trend characterized by an initial decline succeeded by an upsurge, culminating under the Development–Ecological Balance Scenario. Likewise, HQ displayed a similar fluctuating pattern with an initial decline succeeded by an increase, reaching its zenith under the Ecological Dominance Scenario. (3) The coupling coordination between ESV and HQ exhibited variability across cities and scenarios. Ultimately, this study offers a distinctive perspective on evaluating the interplay between urban development and conservation, providing valuable insights for promoting sustainable development in other regions.

Spatial and temporal differentiation and coupling analysis of land use change and ecosystem service value in Jiangsu Province

A detailed exploration of the nexus between land use change (LUC) and ecosystem service value (ESV) at the urban level is crucial for fostering high-quality urban economic growth alongside the sustainable management of land resources. This study focuses on Jiangsu Province, employing an enhanced and refined ESV assessment model to perform a dynamic examination of the spatial and temporal variations in land use and ESV across the region from 2000 to 2020. Additionally, it delves into the intricate coupled coordination dynamics between land use intensity and ESV by developing a coupled coordination model. Key findings include: (1) Jiangsu Province experienced notable land use transformations over the two decades, with a marked reduction in cropland and a significant expansion of construction sites being the most prominent shifts. (2) The ESV in Jiangsu Province has exhibited fluctuating trends over the past 20 years, with water bodies and agricultural lands serving as the cornerstone for the province's ESV. Areas with high ESV are predominantly located around the Yangtze River's water bodies, along the coastline, and around lakes and radiate outward from these aquatic centers. (3) The coupling between LUC and ESV in Jiangsu Province has been upward, albeit with pronounced city disparities. This coupling displays distinct spatial patterns, characterized by higher levels in the east and lower levels in the west, as well as higher levels in the north and lower levels in the south. The outcomes of this analysis offer valuable insights and policy recommendations for enhancing land use planning, refining land use configurations, and promoting the synergistic development of land use and ecosystem service functions in Jiangsu Province.

Could environmental regulation effectively boost the synergy level of carbon emission reduction and air pollutants control? Evidence from industrial sector in China

In response to the pressure of combating climate change and enhancing air quality, China has tightened environmental regulations. In China, reducing carbon emissions and air pollutants together has become a critical target for environmental protection. However, no literature explores the impact of environmental regulation on the synergy level of reducing CO2 and air pollutants in the industrial sector. Therefore, this study explores whether environmental regulation could effectively boost the synergy level of carbon emission reduction and air pollutants control in China's industrial sector. We first construct an evaluation indicator system for synergistic emission reduction of CO2 and air pollutants (SO2, NOx, PM), then employs the coupled coordination model to evaluate the synergy level of emission reduction. Furthermore, we explore the impact pathway of environmental regulation on the synergy level of emission reduction. The results indicate that: (1) On the whole, the synergy level shows a slow upward trend, but remains insufficient from 2011 to 2020. (2) Overall, environmental regulation significantly boosts the synergy level of carbon emission reduction and air pollutants control. Regarding the impact pathway, industrial structure has a completely promoting effect, while technical progress exerts a suppressing effect. (3) In regions with higher economic development, environmental regulation has a greater positive influence on synergy level, and the suppressing effect of technical progress is weaker than in less developed regions. These findings could provide helpful references for policy making on synergistic emission reduction of industrial CO2 and air pollutants in China.

Coupling and Coordination between Tourism, the Environment and Carbon Emissions in the Tibetan Plateau

Studying the relationships among tourism, the environment and carbon emissions is key to understanding how tourism activity affects the sustainable development of tourism in the Tibetan Plateau. Using Lhasa, Tibet, as a case study, the coupling and coordination relationships among the three systems were analysed to explore the impact of tourism behaviour on sustainable tourism development. Utilising panel data from 2010 to 2020, the carbon emissions of tourism activities were calculated using a bottom-up approach. The coupling coordination model was employed to examine the interrelationship of the economy, the ecological environment and carbon emissions. Additionally, the Tapio model was utilised to further analyse the dependency relationship between economic development and carbon emissions. This assessment of the sustainability of Lhasa’s tourism industry revealed that (1) the economy, the environment and carbon emissions are indeed closely intertwined with sustainable development and that (2) there has been a significant increase in the coupling coordination among the economy, the environment and carbon emissions from 2010 to 2020, coupled with a gradual decrease in economic dependency on carbon emissions. Despite providing favourable conditions for sustainable development, there remains considerable disparity among the three subsystems, with relatively low overall coordination. Accordingly, some practical low-carbon tourism policies are recommended to guide tourism practices and promote long-term sustainability.

Robust 3D coordinate transformation based on genetic algorithm intelligent weighting

In order to improve the solution quality of 3D coordinate transformation parameters, a robust optimization model is obtained by integrating the 3D coordinate transformation model within the overall framework of the genetic algorithm in this paper. The minimum of the weighted sum of squares of the point residuals of the common points is taken as the objective function for optimization, and the parallel search is started from the initial population, and the updating process of the solution set is used to generate new and better individuals, and the adaptive weight combination corresponding to the optimum of the fitness function is obtained at the end of the generation iteration. The generated simulated data and measured data were analyzed using the Hefei Light Source tunnel control network as an application scenario. The results show that the method in this paper can automatically reduce the influence of low-quality data on the model, and compared with the two robust conversion models of IGG III iterative weighting, the method in this paper is not affected by the empirical parameters in determining the weight combinations and the weighted sum of squares of the residuals of the solved points are smaller, so it can effectively improve the quality of the solved conversion parameters.

Examining Urban-Rural Public Service Equalization and Common Prosperity in China: A Data-Driven Study on Regional Disparity

Achieving equal access to basic public services between urban and rural areas in China has become an important pathway to eliminating inequality, improving national welfare, and ultimately achieving common prosperity. Through data analysis and a data-driven approach, it is possible to better guide future policy formulation and implementation to help China achieve its goal of inclusive growth. This research endeavors to examine the interrelations between the discrepancies in basic public services provision in urban and rural areas, establishing a comprehensive evaluation indicator framework, while delving into the intricate dynamics between such service equalization and the attainment of common prosperity. Moreover, it aims to uncover the varying degrees of regional disparities witnessed during the journey to common prosperity in different parts of China, thereby providing valuable insights and references for nations and regions striving to enhance social equality. This study focused on the 31 provincial-level administrative regions of China(excluding the regions of Hong Kong, Macau, and Taiwan) The research methodology entails employing the entropy weight method to determine the weights of evaluation indicators, supplemented by a coupling coordination model to analyze the level of harmonization between urban and rural areas. Furthermore, the Dagum Gini coefficient method and kernel density estimation were utilized for an in-depth exploration of the distribution and disparities observed in regional coordination. The findings of this study reveal that between 2012 and 2021, the disparities in the equalization of basic public services between China’s urban and rural areas witnessed a progressive widening, despite modest improvements in the overall level of common prosperity. The prevailing pattern observed can be summarized as “high coupling, low coordination”. Notably, these disparities are particularly conspicuous in the western regions of the country. Additionally, this research identifies the imbalanced development of basic public service equalization between urban and rural areas as the primary cause for the observed low level of coordination. This study emphasized the intrinsic nexus and coordinated interplay existing between the equalization of urban and rural public services and the achievement of common prosperity. To foster enhanced coordination between urban and rural areas, it is imperative to prioritize the implementation of policies that promote the amalgamation of urban and rural realms, while concurrently striking a harmonious balance in the pursuit of multi-dimensional objectives. Furthermore, region-specific policies need to be formulated, with particular attention to addressing the disparities in coordination and the polarization issues prevalent in the western regions, ensuring the effectiveness and precision of these measures.

Analysis of the Coupling and Coordinated Development of Green Investment and Low Carbon Economy

Firstly, based on the review of domestic and foreign scholars' research on green investment and low-carbon economy, this article explores the coupling mechanism between green investment and low-carbon economy. Secondly, based on panel data from 16 cities in the Yangtze River Delta Economic Zone from 2015 to 2021, a comprehensive evaluation index system for green investment and low-carbon economy is constructed using five indicators: "low-carbon output indicator, low-carbon consumption indicator, low-carbon resource indicator, low-carbon environment indicator, and development capacity indicator." Furthermore, the entropy method is used to determine the weights of various indicators for green investment and low-carbon economy, calculate the comprehensive evaluation index for green investment and low-carbon economy in 16 cities in the Yangtze River Delta Economic Zone, and make a theoretical analysis of the development level of green investment and low-carbon economy in each region. At the same time, a coupling coordination model is used to explore the coupling degree and coupling between green investment and low-carbon economy index in 16 cities in the Yangtze River Delta Economic Zone from 2015 to 2021. Co scheduling. Finally, from the perspectives of time and space, in order to promote the coordinated development of green investment and low-carbon economy in the Yangtze River Delta Economic Zone, targeted policy recommendations are proposed for the government, enterprises, and the general public, with the aim of making theoretical contributions to the coordinated development of green investment and low-carbon economy, as well as the construction of ecological civilization in China.

The spatial effect of integrated economy on carbon emissions in the era of big data: a case study of China

The digital economy has the characteristics of resource conservation, which can solve China’s high carbon emissions problems. The digital economy can quickly integrate with the real economy, forming an integrated economy. However, it is still unclear whether an integrated economy can effectively reduce carbon emissions and achieve China’s ‘dual carbon goals’. Therefore, this study takes 30 provinces in China as the research object, constructs the integration economy index system through the statistical data from 2011-2021, and explores the spatial effect of the impact of the integration economy on carbon emissions by using principal component analysis, coupled coordination model and spatial econometric model. The research results are as follows. (1) From 2011 to 2021, the comprehensive economy showed a trend of increasing yearly (from 0.667 to 0.828), and carbon emissions showed a slow decrease (from 0.026 to 0.017). (2) Due to the infiltration of China’s economic development from the eastern to the western, the spatial distribution of the integrated economy shows a decreasing trend from east to west. The spatial distribution of carbon emissions may be related to China’s industrial layout of heavy industry in the northern, and light industry in the southern, showing a trend of low in the south and high in the north. (3) The integrated economy can significantly reduce carbon emissions (the coefficients of influence, -0.146), and the reduction effect will be more obvious if spatial spillover effects are taken into account (-0.305). (4) The eastern coast, the middle reaches of the Yangtze River, and the middle reaches of the Yellow River economic zones all increase carbon emissions at a certain level of significance (0.065, 0.148, and 3.890). The Northeast, South Coastal and Southwest economic zones significantly reduce carbon emissions (-0.220, -0.092, and -0.308). The results of the Northern Coast and Northwest are not significant (-0.022 and 0.095). (5) China should tailor regional economic development policies, such as strengthening investment in digital infrastructure in the Northwest Economic Zone and fully leveraging the spatial spillover effects of integrated economy in the Northeast, Southern Coastal, and Southwest Economic Zones to reduce carbon emissions.