Examining the mechanism through which new-type urbanization influences high-quality agricultural development is a crucial research topic.It is essential for achieving comprehensive rural revitalization through urban-rural integration and for identifying effective pathways to modernize agriculture and rural areas.To sci-entifically examine the impact of the new-type urbanization pilot policy on high-quality agricultural develop-ment,this study employs a staggered Difference-in-Differences model on panel data from 262 prefecture-level cities from 2011 to 2022.The results show that new-type urbanization can significantly enhance agricultural green total factor productivity,with notable variations related to geographical location,functional zoning,and economic development levels.New-type urbanization policy facilitates high-quality agricultural development through three primary pathways:Narrowing the urban-rural income gap,promoting digital inclusive finance,and improving human capital.The findings of this study contribute to exploring regionally differentiated path-ways for advancing new-type urbanization and provide theoretical references for agricultural modernization ef-forts.
The village domain is the basic unit of social and economic activities in rural China,and an in-depth analysis of the mixed utilization characteristics of settlements and their multifunctional differentiated spa-tial patterns within the village can provide new perspectives for the study of rural development and transforma-tion in economically developed areas.By comparing the spatial and temporal characteristics of human activities carried by residential sites on weekdays,weekends,and holidays,this study constructs the evaluation indices for residence,employment,and consumption functions at the plot scale,and carries out empirical analysis with the help of location-based big data in the village of Luxiang,Suzhou City.The results show that:① The multi-functional types of the residential areas within the village cover residence,employment,consumption,and the combination of residence and consumption,among which the area of the composite functional plots ac-counts for nearly 40％,and the multi-functional utilization is at a relatively high level;② The spatial mapping analysis reflects that different functional spaces within the village area present differentiated characteristics,and the composite functional plots are concentrated in clusters in the core residence and consumption areas of the village.③ The combination and connection degree of nodes on the spatial mapping also vary,which is manifested as the diversity and heterogeneity of"function-structure"in different regions.The study can pro-vide a scientific basis for improving the quality and effectiveness of village planning compilation in the new era and enhancing the refined management level of rural residential land use.
As a strategically significant location,ecological highland,and economically underdeveloped area in China,the Qinling-Daba Mountain is characterized by pronounced contradictions in human-earth relation-ships,manifested in severe soil erosion,frequent geological disasters,excessive land exploitation.Based on remote sensing and geospatial data,this study employed the coupling coordination degree and the geographical-ly weighted regression(GWR)model to explore the spatio-temporal evolution and interaction mechanism of human-earth relationships in the Qinling-Daba Mountain areas of Southern Shaanxi.Results indicated that the population tended to concentrate in central urban areas,and vegetation coverage increased by 98％of the re-gion.During this period,cropland decreased by 4 103.06 km2,primarily converted into forest land,construc-tion land,and grassland.Over 60％of the study area presented low human activity intensity,while region with higher and high natural environment index accounted for more than 75％.The coupling degree and coordi-nation degree of the human-earth relationships exhibited a spatial distribution characterized by higher values in river valley basins and central urban areas,and lower values in the undulating mountainous regions to the north and south.There was an observable expansion in areas with low coupling and severe incoordination,while areas with higher coupling and mild incoordination showed a shrinking trend.The human-earth interac-tion exhibited significant temporal dynamics and spatial heterogeneity.The correlation between natural indica-tors and the proportion of cropland gradually declined over time,while the correlation with the proportion of construction land steadily strengthened.Only water yield and temperature were positively influenced by human activity intensity in regions exceeding 70％,whereas the remaining interaction relationships within the human-earth system were negatively impacted in areas above 50％.The findings of this study could offer valuable de-cision-making support for ecological conservation and high-quality economic development in Southern Shaanxi.
Land use change and its impact on habitat quality play a crucial role in the development of ecologi-cal civilization and the promotion of sustainable development in ecologically fragile regions.Taking the farm-ing-pastoral ecotone of Northern China as a case,this study analyzes land use change characteristics from 1980 to 2020 using a transition matrix.It also explores the spatio-temporal evolution of habitat quality by combining the In VEST model with hotspot analysis and quantifies the influence of land use change on habitat quality.Furthermore,the CA-Markov model is employed to simulate and predict the habitat quality status in 2040.The research has four results.① The main land use types in the farming-pastoral ecotone of Northern China are grassland,cultivated land,and forestland.During the study period,significant changes in land use patterns were observed,with the northeastern region being the area of concentrated land use change.The main charac-teristic of land use change is the mutual conversion between cultivated land and grassland.The changes in land use are marked by a reduction in grassland,a slight increase in cultivated land,a decrease in forestland and a significant increase in built-up land.② Habitat quality in the study area exhibits notable spatial varia-tion,with hotspots concentrated along the southern boundary and cold spots found in the northeastern and cen-tral regions.The overall habitat quality level is relatively low,with areas of low habitat quality being the most prevalent.③ The conversion of cultivated land to forest and unused land,as well as unused land to grassland,plays a crucial role in improving habitat quality,while the conversion of grassland to cultivated land leads to a decline in habitat quality.④ The CA-Markov model is suitable for simulating land use in the study area.By 2040,both built-up land and unused land in the study area are expected to increase.Habitat quality in the re-gion is predicted to decline,with low to medium habitats expanding and high quality habitat decreasing by 16,147.30 km2.Urgent protective measures are needed to enhance habitat quality.The findings provide theoreti-cal references for the sustainable development of land resources and ecological environmental protection in the farming-pastoral ecotone of Northern China.
Improving the security level of the water-energy-food(WEF)composite system is important for en-suring the rational allocation and utilization of resources and sustainable development of the irrigation area in the Lower Yellow River.The security level of the WEF system in the irrigation area of the Lower Yellow River from 2009 to 2023 was measured using five-element connection number,and the configuration path to improve the security level of the composite system was identified through fuzzy-set qualitative comparative analysis(fsQC A).The results showed that:①The security level of the food subsystem was the highest,transitioning from level Ⅲ to level Ⅳ,while the safety level of the energy subsystem was the lowest,overall in an unsafe state of level Ⅱ.②The overall composite system of the irrigation area in the Lower Yellow River is in a criti-cal state of level Ⅳ,and some cities and years are in an unsafe state of level Ⅱ.③There are a total of five configuration paths that can generate high security levels,each region needs to make measures based on its own development situation in the future.Studying the interactive relationship between various influencing fac-tors from a configuration perspective has to some extent promoted the transformation of security research on composite system from a single contingency perspective to a holistic multi-dimensional perspective.The re-search conclusion can provide theoretical basis and decision-making reference for the security development of the WEF system in the irrigation area of the Lower Yellow River.
Based on the data of residential land supply in China's land market network from 2010 to 2021,the development trend,the spatial pattern evolution characteristics and the influencing factors of residential land prices in prefecture-level and above cities in China are explored using statistical analysis,spatial analysis and spatial Durbin model.Results show that:① The level of residential land prices in Chinese cities has shown an upward trend to varying degrees during the research period,the disparity of residential land prices a-mong cities also has been widening,and it has shown obvious characteristics of phased changes;② There are significant spatial differentiation characteristics and spatial agglomeration characteristics of residential land prices in Chinese cities,the residential land prices are higher in east areas than the west,the higher the ad-ministrative level of a city,the higher the level of residential land prices,roughly showing the gradient distri-bution pattern of municipalities directly under the Central Government＞sub-provincial cities＞capital cities＞other prefecture-level cities,the high-level areas are concentrated in Yangtze River Delta urban agglomeration areas;③Urban residential land prices are the result of the interplay of economic,social,demographic,public facilities and real estate investment factors in the city,and the direct and indirect effects of these factors on the city and neighboring cities have different directions and degrees of influence,which results a significant spatial heterogeneity in urban residential land prices.The study is helpful to identify the spatial distribution of urban residential land prices in China,to explain the impact of land price factors on residential land prices and differences,and to provide reference for the formulation of differential regulation policies.
Cultivated land use transformation not only enhances the efficiency of land resource utilization but also serves as a critical driver of agricultural pollution reduction and carbon abatement,thereby supporting green development and ecological civilization construction.Drawing on panel data for 31 provinces in China(excluding Hong Kong,Macao,and Taiwan)from 2000 to 2023,this study constructs an integrated index system for cultivated land use transformation and an Agricultural Pollution and Carbon Reduction Synergy In-dex(APCR),identifies their spatial patterns,and empirically assesses the synergistic effects of cultivated land use transformation on pollution reduction and carbon abatement.The research has 5 results.① Spatially,cultivated land use transformation exhibits a pronounced east-central-west gradient,while APCR levels have shifted from marked regional disparities toward a progressively more balanced pattern.② Cultivated land use transformation exerts a significant positive effect on agricultural pollution-carbon reduction synergy,which is consistently supported by robustness tests and instrumental variable estimations.③ Mechanism analysis reveals that cultivated land use transformation promotes APCR primarily through agricultural green technological inno-vation and enhancements in human capital.④ Environmental governance intensity and government fiscal sup-port strengthen the synergistic effect of cultivated land use transformation on agricultural pollution reduction and carbon abatement.⑤ Heterogeneity analysis indicates that the effects are significant in the first and third topographic step but not in the second;stronger east of the Hu Huanyong Line than west;and significant in the Yellow River Basin but insignificant in the Yangtze River Basin.Overall,advancing cultivated land use transformation in a region-specific and security-oriented manner is essential for effectively coordinating the re-lationship between land use restructuring and agricultural pollution-carbon reduction synergy.
Analyzing the ecological effects of construction land expansion supports optimized territorial spatial management and ecological conservation.Using multidimensional indices,ecosystem service value(ESV)as-sessment,and comprehensive evaluation methods,this study quantitatively examines the spatiotemporal char-acteristics and ecological effects of construction land expansion in the Yangtze River Economic Belt(YREB)from 2000 to 2020.Results indicate:① construction land expanded markedly,increasing by 91.55％,with nearly 90％originating from cropland conversion,forming a high-density development corridor along the river centered on major urban agglomerations;② the comprehensive expansion level increased in the west and cen-tral regions but remained spatially unbalanced,with higher intensity in the east due to development suitability and the siphoning effect of the eastern region;③ expansion caused significant ecological impacts,including direct loss of ecological land and ESV,and indirect increases in human footprint pressure and carbon emis-sions;④ a two-dimensional"expansion-ecology"classification identified four dominant types:medium-pres-sure balanced,low-pressure stable,high-pressure degrading,and low-pressure sensitive.These findings un-derscore the need for a coordinated mechanism to balance development and ecological protection,optimize spa-tial planning,and harmonize ecological security with high-quality development in the YREB.
Under the"dual carbon goals",revealing the spatial correlation network characteristics of carbon emissions in the Pearl River Delta Region,holds significant theoretical value and practical significance for ex-ploring the green and low-carbon transformation of regional socioeconomic systems.Using the IPCC assessment methodology,modified gravity model,and QAP regression method,this study conducts an analysis of the spa-tiotemporal evolution process of carbon emissions in the Pearl River Delta Region from 2010 to 2022,and ex-plores the evolutionary characteristics and influencing factors of the spatial correlation network of carbon emis-sions.The results have 3 findings.①Temporally,carbon emissions presented a continuous upward trend in the Pearl River Delta Region,with a slight decline in 2020;spatially,it showed a pattern where Shenzhen and Guangzhou were the core high-emission areas,and the eastern bank of the Pearl River was significantly higher than the western bank.The overall decoupling relationship between carbon emissions and socioeconomic devel-opment in the Pearl River Delta Region showed a weak decoupling characteristic,and since 2020,with the continuous decline in carbon emissions,it has been accelerating toward strong decoupling.②The overall char-acteristics of the carbon emission spatial correlation network have gradually evolved toward being more complex and accessible,with connection lines becoming denser and developing toward multi-directionality.Guangzhou and Shenzhen are located at the center of the network,playing the role of"central actors";other regional plates show significant graduality in the spatial association network,with obvious spatial spillover characteris-tics within the plates.③Geographical proximity,economic development level,energy consumption intensity,and industrial structure have significant impacts on the spatial correlation network of regional carbon emis-sions.The research provides scientific basis and practical guidance for regional collaborative emission reduc-tion,optimizing carbon balance,and promoting sustainable development.
Rural settlements serve as spatial carriers for studying human-land relationships in rural areas,and their layout optimization constitutes a crucial approach to promoting comprehensive rural revitalization.Using the rural settlement patches of Salaxi Town in Qixingguan District,Bijie City-a typical karst mountainous town-as a case study,this research examines the impacts of growth poles(areas with concentrated development vi-tality)and development axes(transport networks)on rural settlement spatial distribution.The findings indi-cate:① Significant variations exist in the spatial distribution of development vitality across rural settlements in Salaxi Town,predominantly concentrated in the Sala Community,Chongfeng Village,Shuijinggou Village,Shuanglong Village,Longchang Village,and Gezuo Village;② Rural settlements in Salaxi Town can be cate-gorized into four optimization types:urban-rural integration,clustered development,relocation and consolida-tion,and improvement-oriented development;③ The rural settlements in Salaxi Town can be categorized into four major optimization zones:the Economic Center Zone,the Rural Restructuring Zone,the Relocation and Consolidation Zone,and the Secondary Center Zone.Through spatial guidance and integration strategies tailor-ed to different optimization types,this study provides reference insights for scientific planning of rural settle-ments in karst mountainous towns.
Industrial transformation in resource-based regions is constrained by path dependence,ecological pressures,and insufficient collaborative innovation.Existing studies have paid insufficient attention to dynamic transition mechanism and multi-dimensional efficiency assessment in these regions.Using the Yellow River π-shaped Curve Area as a case study,this paper constructed a three-dimensional"factor-temporal-actor"analyt-ical framework and integrated dissipative structure theory with a DEA-Malmquist-BCC hybrid model to examine dynamic and static efficiency as well as spatiotemporal differentiation from 2010 to 2022.Findings revealed:①Innovation levels exhibited multi-dimensional and uneven gradient evolution across the region.Growing cit-ies developed a technology-finance dual-driven pattern through resource reinvestment,whereas provincial cap-itals experienced a mismatch between policy support and technological innovation.②Innovation synergy exhib-ited both temporal growth and spatial differentiation.The synergy index of provincial capitals and regeneration-oriented cities remained significantly above the regional average.Growing cities achieved annual increases of 5.8％～6.0％,whereas declining cities faced rising marginal costs in improving innovation coordination.③Industrial transformation capacity displayed significant spatiotemporal differentiation.The energy-rich northern region benefited from advantages in technological industrialization,whereas the ecologically fragile southern re-gion was constrained by path lock-in and insufficient economies of scale.Industrial transformation trajectories could therefore be categorized into fluctuating-improving,fluctuating-declining,and fluctuation-rebound types.④Industrial transformation total factor productivity(TFP)declined by an average of 2.3％annually,mainly due to the simultaneous decline in technical and scale efficiency.Spatially,the region exhibited a gradient pattern characterized by stronger performance in the east and north.By integrating stage-specific interventions,cross-scale governance frameworks,and dynamic feedback mechanisms,this study proposes a sustainable pathway for resource-based regions to suppress entropy growth,delay path lock-in,and stimulate industrial transition.The findings provide theoretical support and policy implications for overcoming transformation traps and promoting innovation-oriented coordinated development in the Yellow River Basin.
Agriculture is the foundation of human survival,and the cultivation of resilient farmer groups is a key aspect of sustainable agricultural development,which has received much research attention.Based on the survey data of farmers and experts,it mainly studies the resilience level of rural households in the core urban suburbs of the Yangtze River Delta under the impact of COVID-19,and explores the driving mechanism of farmers' adaptation by using the multiple attribute decision making and ordered logical regression model.The results indicate that despite the profound impact of the epidemic on agricultural production and circulation,most of the surveyed farmers have maintained stable production and operation,with an overall high level of re-silience.There is a significant difference in the resilience of farmers in the subdivision of agricultural catego-ries,with food farmers having the strongest resilience,followed by fruit farmers,and vegetable farmers having the lowest resilience level.Financial capital,innovative spirit,and market awareness are the main factors af-fecting resilience levels,but external support and risk perception capabilities are equally indispensable.More-over,farmers who rely mainly on agricultural livelihoods have abundant labor force,sufficient funds,broad networks,and deep organizational participation.They have a strong ability to buffer and respond to the impact of the epidemic.Strengthening the ability of farmers to cope with unexpected events from multiple dimensions is an important way to promote the orderly and stable development of agriculture.
Under the pressures of population aging and new urbanization,enhancing the well-being of the eld-erly has become an effective measure to ensure the sustainable development of large cities.Using the 13 coun-ties and districts of Xi'an as the research unit,an evaluation index system for elderly well-being was construc-ted across four dimensions,including material,health,spiritual,and social.Combining the Analytic Hierar-chy Process(AHP)and the Criticality Weighting Method(CRITIC)to measure the well-being levels of the elderly across these 13 counties and districts.The obstacle degree model was employed to identify the key ob-stacle factors on the elderly well-being.The research results reveal 4 findings.① Gaoling District exhibits the highest overall elderly welfare,while Baqiao District ranks lowest.The four dimensions rank from highest to lowest as material life,spiritual life,social life,and health life.② The spatial distribution of well-being ex-hibits higher levels in the north and south,while lower levels were observed in the east and west.Areas with higher levels were concentrated in northern counties and southern counties of the main urban area,while lower levels were clustered in the eastern and western peripheries.③ The main obstacle factors to the well-being of the elderly in Xi'an include the source of daily necessities and the total monthly income in the material life di-mension,health status and satisfaction with medical insurance reimbursement in the healthy life dimension,the frequency of participation in tourism activities in the spiritual life dimension,and the availability of sup-porting parks in the social life dimension.④ Based on differences in these obstacle factors,the counties and districts in the study area can be classified into areas where elderly income needs to be increased,areas where medical security needs to be optimized,and areas where public facilities need to be improved.
Under the implementation of the Grain for Green project,a significant vegetation restoration trend has been observed on the Loess Plateau in recent decades,which has profoundly affected the regional water cy-cle.To investigate the effects of ecological restoration projects on the atmospheric water cycle,we analyzed the temporal and spatial variations in thekey variables(including precipitation,evaporation,water vapor flux and its divergence,and precipitation recycling ratio)on the Loess Plateau during the 1991-2020 growing sea-sons,based on the MERRA-2 data and the moisture tracking model.The research has 3 results.①From 1991 to 2020,both precipitation and evaporation showed significantly increasing trend over the Loess Plateau,and the trend in precipitation is higher than that of evaporation.②Under an increasing precipitation trend,the pre-cipitation resources on the Loess Plateau increased at approximately 0.352 × 1010 m3/a,with both external moisture sources and local evaporation exhibiting significant increases in absolute water vapor contribution.③Although the increased precipitation primarily depends on additional contributions from external moisture source regions,the precipitation recycling ratio during the growing season over this region has increased signif-icantly over the past 30 years due to the implementation of the GrainforGreen project,with an increasing rate of 0.048 3％/a.This indicates that large-scale ecological restoration projects have exerted a positive effect on the regional atmospheric water cycle.The research findings of are of great significance for elucidating the driving mechanisms of large-scale ecological restoration projects on local hydrological processes and climate systems.
As the main battlefield for urban-rural integration,the county is of great significance in promoting urban-rural factor flow,industrial structure optimization,and rational allocation of resources.Taking Shiping County in Yunnan province as an example,the study constructs a research framework of"town-village"con-tinuum,establishes a quantitative evaluation system from four aspects of population,economy,society and space,to analyze the level of town-village synergistic development.Through the coupling degree and coupling synergy degree model,the research analyzes the temporal and spatial differentiation characteristics of the town-village coupling synergy.Based on the spatial pattern and the level of town-village synergy,the county villages and towns are clustered and divided into three types:town-led village,town-village synergy,and village-pro-moted town,and adaptive planning and development strategies are formulated,establishing the village and town research paradigm of"evaluation-feature-strategy".The study found that the development of towns and villages should achieve higher social and economic benefits through integrated layout,classification and optimi-zation of structure;through the reshaping of village values and the reconstruction of town and village relations,the study explored the path of development of towns and villages to meet the needs of the times,and ultimately promoted the synergistic development of towns and villages and the integration of urban and rural areas in the county.
Optimizing rural land systems is pivotal for advancing urban-rural integration through enhanced re-source allocation and sustainable development.Drawing on systems science theories,this study systematically examines the conceptual framework,structural composition,and functional dynamics of rural land systems.The analysis reveals three key findings:① Rural land systems represent natural-artificial composite system characterized by coordinated multi-functional utilization of industrial,residential,and ecological protection lands.These systems integrate geographical environments,land use patterns,and derived socioeconomic phe-nomena to fulfill economic,social,and ecological functions through adaptive adjustments.② System opera-tions demonstrate dynamic interactions among geographical factors,land use practices,and socioeconomic drivers,exhibiting structural tensions between competitive repulsion and equilibrium maintenance under exter-nal environmental pressures.③ A novel"elements-structure-functions"theoretical mechanism is proposed,establishing a logical framework that connects land resource governance with urban-rural integration objectives.The optimization pathway emphasizes four synergistic mechanisms:technical regulation for spatial planning precision,administrative constraints for development control,economic incentives for value appreciation,and legal framework for institutional support.These strategies collectively enable rational resource allocation,sus-tainable value enhancement,and harmonious human-land relationships in rural revitalization contexts.The findings provide both theoretical advancements in land system science and practical guidance for addressing contemporary challenges in rural land utilization.
Rural space,as an important fulcrum for coordinating the urban-rural development pattern in a re-gion,is also the core carrier for activating the endogenous sustainability of rural areas.In recent years,the gradual deviation in rural development within metropolitan areas has highlighted the conflict between spatial development and resource constraints.In response to this issue,from a functional perspective,this study se-lects the Xi'an metropolitan area as an empirical research object.A suitability evaluation model for rural space utilization in the Xi'an metropolitan area is constructed,and the equal-weight linear weighting method is employed to assess the suitability levels of rural ecological,production,and living spaces in the Xi'an met-ropolitan area.Furthermore,the confusion matrix model and Kappa coefficient are utilized to examine the con-sistency and spatial differentiation characteristics of these evaluations.The results indicate that:① The single dominant functional advantage areas in the Xi'an metropolitan area are concentrated in mountainous regions,forested areas,water systems,and suburban zones,exhibiting zonal and scattered distribution patterns;②The complex functional distribution areas in the Xi'an metropolitan area are extensive,particularly those involving production-life composite functions,which display planar or zonal distribution characteristics;③ The rural space in the Xi'an metropolitan area exhibits significant differentiation,especially evident in the northern and southern mountainous regions,transitioning from ecologically-led functional advantage areas and ecologically productive compound function zones to living spaces.This research enriches the theoretical framework of rural spatial suitability evaluation in metropolitan areas to some extent and provides valuable theoretical and practical references for enhancing the comprehensive efficiency of regional rural land use.
Investigating the impact mechanisms of household labor allocation and non-farm employment on farmland abandonment behavior holds significant implications for advancing farmland protection and ensuring food security.Based on 2025 survey data from 786 rural households across 15 provinces,this study employs Logit models to analyze the effects of labor allocation and non-farm employment on farmland abandonment.The results indicate that increased agricultural labor quantity significantly suppresses farmland abandonment,while improved labor quality exacerbates it;both non-farm employment intensity and non-farm income share exhibit significant positive impacts on abandonment;household labor allocation and non-farm employment demonstrate interaction effects,with labor quality showing significant moderating effects whereas labor quantity shows no significant moderating effect;the influence of labor allocation and non-farm employment on farmland abandon-ment behavior exhibits heterogeneity.The research indicates that both labor allocation and non-farm employ-ment significantly affect farmland abandonment behavior,with interaction effects and heterogeneity observed.Future strategies should implement differentiated governance approaches tailored to different farmer groups,a-long with targeted policies and reasonable subsidies based on actual conditions to further alleviate farmland a-bandonment.
With the rapid development of urbanization and modernization,the population of traditional villages has migrated to the surrounding areas,resulting in the phenomenon of rural hollowing.Identifying the spatial pattern of rural hollowing differentiation and its driving mechanism is an important topic that needs to be ur-gently addressed in the current rural revitalization strategy.In this context,this study took the 183 counties and urban areas in Sichuan Province as the study area,constructed the rural hollowing assessment framework and index system from the three subsystems of population and economy,land and infrastructure,and used the triangular fuzzy number-based hierarchical analysis method and multiple regression analysis to reveal the spa-tial distribution pattern of rural hollowing and its formation mechanism in Sichuan Province.The results show that:① The degree of population and economic hollowing gradually decreases from the central city to the sur-rounding area,showing a distribution pattern of high in the east and low in the west,while the land hollowing and infrastructure hollowing show a distribution pattern of low in the east and high in the west;② The compre-hensive hollowing shows a balanced development,with the high value area mainly concentrated in the Chengdu Plain and its periphery,and the distribution tendency is slowing down from the central city to the surrounding area;③ The rural hollowing of Sichuan Province is a result of a variety of factors,with the local financial rev-enue and the gross output value of agriculture,forestry,animal husbandry and fishery being the most positively and negatively correlated influencing factors,respectively.
New Quality Productive Forces(NQPF)represent an advanced form of productivity characterized by high technology,high efficiency,and high quality.Ultimately,a"NQPF-Institutional Environment-Spatial Carrier"ternary interaction theoretical framework is empirically validated.The findings are four fold:First,NQPF exerts a significant positive driving effect on urban-rural integration;however,its impact on ecological integration is relatively weaker.Second,overall,the coupling coordination between NQPF and urban-rural in-tegration exhibits a steadily rising trend,albeit with pronounced regional disparities.Third,NQPF influences the level of urban-rural integration through three pathways:"digital empowerment,industrial upgrading,and factor mobility."Notably,while the development of NQPF promotes the flow of labor and capital,it demon-strates a negative impact on urban-rural integration.Fourth,NQPF generates a significant positive spatial spill-over effect,indicating that it positively influences urban-rural integration in neighboring regions.Through cross-validation across temporal and spatial scales,this study uncovers the impact mechanisms of NQPF on ur-ban-rural integration,thereby providing a basis for the formulation of differentiated integration policies.
