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Effects of manufacturing agglomeration on PM2.5 and spatial spillover in prefecture-level cities in China 认领 引用
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作者 Dan Wang Hongxiao Zhao +1 位作者 Yun Wang Yu Cheng 《Chinese Journal of Population,Resources and Environment》 CSCD 2026年第1期67-76,共10页
Agglomeration supports the high-quality development of the manufacturing industry,and its associated resource and environmental effects play a crucial role in driving green economic development.Based on data from pref... Agglomeration supports the high-quality development of the manufacturing industry,and its associated resource and environmental effects play a crucial role in driving green economic development.Based on data from prefecture-level cities in China from 2005 to 2019,this study employs the inverse distance weighting method,the bivariate local indicator of spatial association model,the spatial Durbin model,and other techniques to explore the relationship between manufacturing agglomeration and PM2.5concentrations,and to assess the impact of its manufacturing agglomeration.Four correlation patterns are observed:high-high,low-low,high-low,and low-high.Among these,high-high and low-low patterns dominate in terms of number of cities.These correlation patterns demonstrate strong temporal stability,with a clear“Matthew effect”.The effect of manufacturing agglomeration on PM2.5levels is significantly negative and helps reduce concentrations regionally,indicating the need to further enhance agglomeration levels regionally.However,it can increase PM2.5levels in neighboring areas due to a siphon effect,and the impact of varies across regions.Compared with levels in 2005-2013,the significance of the relationship between manufacturing agglomeration and PM2.5weakened in the 2013-2019 period.Accordingly,this study proposes countermeasures and policy recommendations aimed at strengthening regional collaborative governance and inspiring differentiated agglomeration strategies to support sustainable economic development in China. 展开更多
关键词 Manufacturing agglomeration PM2.5 Impact effect Spatial spillover effect
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Uneven gains from agricultural modernization:Spatial spillover effects and regional heterogeneity of grain yield in China’s nine major agricultural zones 认领 引用
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作者 LIANG Jiale PAN Sipei +3 位作者 XIA Nan WANG Zhenkang CHEN Wanxu LI Manchun 《Journal of Geographical Sciences》 SCIE CSCD 2026年第3期575-596,共22页
Ensuring national food security amidst rapid population growth and increasing extreme weather events remains a critical global challenge.However,the extent to which agricultural modernization in China enhances grain y... Ensuring national food security amidst rapid population growth and increasing extreme weather events remains a critical global challenge.However,the extent to which agricultural modernization in China enhances grain yield and contributes to food security remains unclear.Therefore,using panel data from 327 Chinese cities(2013–2021),this study employs spatial econometric models to analyze the spatial spillover effects of agricultural modernization level(AML)on grain yield and to reveal regional heterogeneity across nine major agricultural zones.The results showed a cumulative grain yield increase of 23.7 million tons,with peak productivity concentrated along the Hu Line and declining eastward and westward.AML also exhibited a steady increase but a clear spatial gradient,decreasing from coastal to inland regions,with the highest level observed in Southern China(SC).A key finding was that a 1%increase in AML directly raised local grain yield by an average of 4.185%,accompanied by significant positive spillover effects on neighboring regions.Regional variations revealed distinct patterns:the direct effects of AML were more pronounced in southern and eastern zones,while spillover effects dominated in northern and western zones.The largest positive direct impact of AML on grain yield was observed in the SC(8.499%),while Middle-Lower Yangtze Plain ranked second but exhibited the strongest positive spatial spillover effect(4.534%).These findings highlight the critical role of agricultural modernization in promoting grain production and provide a solid basis for optimizing regional agricultural systems,ensuring food security,and advancing sustainable agriculture. 展开更多
关键词 agricultural modernization grain yield spatial spillover effects nine major agricultural zones China
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High-speed Rail Accessibility and Spatial Effects of Primorsky No.1 and No.2 International Transportation Corridors 认领 引用
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作者 CHU Nanchen ZHANG Pingyu +2 位作者 LIU Weizhong LI Yuxin LI Zhao 《Chinese Geographical Science》 SCIE CAS CSCD 2026年第1期82-96,共15页
Under the background of‘the Belt and Road’and‘China-Mongolia-Russia Economic Corridor’initiatives,this paper studied the urban accessibility level,regional accessibility pattern and regional spatial effects along ... Under the background of‘the Belt and Road’and‘China-Mongolia-Russia Economic Corridor’initiatives,this paper studied the urban accessibility level,regional accessibility pattern and regional spatial effects along the Primorsky No.1 and No.2 transportation corridors.First,the evaluation of urban accessibility level with and without Primorsky No.1 and No.2 high-speed rails(HSRs)opening was conducted with two indicators,i.e.,the weighted average travel time,and the economic potential.After the evaluation,the spatial differentiation pattern of the accessibility changes with and without Primorsky No.1 and No.2 HSRs opening was performed respectively using ArcGIS.On these bases,the regional spatial effects brought by Primorsky No.1 and No.2 HSRs opening were studied.The results are as following.First,the urban accessibility level will be greatly improved by the opening of Primorsky No.1 and No.2 HSRs.All adjacent cities will be integrated into‘1 h HSR communication circle’and the whole journey will be integrated into‘4 h HSR communication circle’along Primorsky No.1 and No.2 corridors,respectively.The HSR accessibility of Primorsky No.1 corridor is stronger than that of Primorsky No.2 corridor.But the HSR accessibility improvement degree of Primorsky No.1 corridor is weaker than that of Primorsky No.2 corridor.Second,spatially,along Primorsky No.1 and No.2 corridors,the HSR accessibility level of the cities which are located in China is stronger than those cities located in Russia,showing the‘High West,Low East’patterns.The HSR accessibility improvement degree of the cities which are located in Russia and Sino-Russian border is stronger than those cities located in China,showing the‘High East,Low West’patterns.Third,Primorsky No.1 and No.2 corridors could connect the China’s‘Heilongjiang Land Sea Silk Road Economic Belt’and‘Changchun-Jilin-Tumen Development Pilot Zone’respectively,gradually involving into the development of China’s Harbin-Changchun Megalopolis.Relying on Harbin(China)and Changchun(China),Primorsky No.1 and No.2 HSRs could connect Northeast China-Beijing HSR,accelerating the diffusion of population,economy and other flows from China’s Beijing-Tianjin-Hebei Urban Agglomeration to Northeast China,and then to Russia’s Far East Federal District.Relying on Suifenhe(China)and Hunchun(China),Primorsky No.1 and No.2 HSRs could be conducive to the development of the second largest sea channels for Northeast China,creating the Northeast Asian Urban Belt,and new sea-rail intermodal pattern among China,Russia,Democratic People’s Republic of Korea,Japan and Republic of Korea.Relying on Vladivostok(Russia)and Zarubino(Russia),Primorsky No.1 and No.2 corridors could connect the‘Ice Silk Road’,building the‘Sino-Russian Northern Maritime Corridor’and‘Sino-Russian Arctic Blue Economic Areas’. 展开更多
关键词 accessibility high-speed rail(HSRs) spatial effect Primorsky No.1 transport corridor Primorsky No.2 transport corridor Vladivostok and Zarubino,Russia
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Evaluation and forecast of the regional marine innovation ecosystem’s competitiveness:A systematic multivariate grey interval model with spatial proximity effects 认领 引用
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作者 LI Xuemei LI Na DING Song 《Journal of Geographical Sciences》 SCIE CSCD 2026年第2期363-398,共36页
Establishing a Regional Marine Innovation Ecosystem(RMIE)is crucial for advancing China’s maritime power strategy.Concurrently,developing a competitive RMIE serves as a strategic lever to enhance the global competiti... Establishing a Regional Marine Innovation Ecosystem(RMIE)is crucial for advancing China’s maritime power strategy.Concurrently,developing a competitive RMIE serves as a strategic lever to enhance the global competitiveness of China’s marine science sector.However,research on the competitiveness of RMIE is limited.To this end,this study constructs an evaluation index system based on ecological niche theory to assess the competitiveness of RMIE in China from 2008 to 2020.The findings indicate generally fluctuating upward trends in RMIE’s competitiveness,with Shandong,Jiangsu,and Guangdong showing relatively strong positions.Notably,there are significant intra-regional imbalances and inter-regional asynchrony in RMIE’s competitiveness across China’s three major marine economic circles.Recognizing that forecasting RMIE competitiveness can inform policy formulation,this paper proposes a systematic multivariate grey interval prediction model that incorporates spatial proximity effects.This model effectively captures the interval and uncertainty characteristics of RMIE’s competitiveness while considering spatial relationships among regions.Results from comparative analysis,robustness tests,and sensitivity analysis demonstrate its superior applicability and forecasting accuracy.Additionally,interval forecasts and scenario analyses suggest that RMIE competitiveness will maintain stable growth,although unbalanced and unsynchronized development is likely to persist.Overall,the approach developed for evaluating and forecasting RMIE competitiveness offers valuable insights for effective policy formulation. 展开更多
关键词 grey model regional marine innovation ecosystem ecological niche theory multivariate grey interval prediction model spatial proximity effects
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Laser-induced broad-spectrum strong absorption multiscale carbon-based nanofilms for photonic debonding based on the spatial confinement effect 认领 引用
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作者 Huijuan Liu Yanlei Hu +5 位作者 Fangcheng Wang Qiang Liu Chenghao Ma Mingqi Huang Guoping Zhang Rong Sun 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第2期510-527,共18页
The photonic debonding process demonstrates significant potential for application in large-size wafer-level/panel-level advanced packaging owing to its advantages of high throughput,high precision,and ease of manipula... The photonic debonding process demonstrates significant potential for application in large-size wafer-level/panel-level advanced packaging owing to its advantages of high throughput,high precision,and ease of manipulation.However,conventional metal-based release materials still face the challenge of low photothermal conversion efficiency,which leads to the photonic debonding process not only requiring high-power equipment,but also suffering from time-and energy-consuming as well as safety concerns.Here,we propose a method to prepare laser-induced graphite films(LIGF)in situ on glass surfaces based on the spatial confinement effect.Thanks to the unique“flat bone”multiscale nanostructure,the absorption rate of LIGF is higher than 95%in a wide wavelength band of 200-1100 nm,which dramatically improves the photothermal conversion efficiency of the released material.Under pulsed flash irradiation,the LIGF-based release layer absorbs photon energy and generates a transient high temperature,which causes thermal decomposition of the organic adhesive material in contact with the release layer,enabling rapid separation at the interface of release layer and adhesive layer(R/A).Compared to metal-based release materials,LIGF is able to reduce the photonic debonding threshold of the same bonding pair by∼40%,and the R/A separation interface exhibits the advantages of no carbon debris and easy cleaning.It is noteworthy that the LIGF release layer remains virtually undamaged after photonic debonding and allowing multiple reuses.In addition,the ultra-low transmittance(≤0.02%)of the LIGF release layer prevents light leakage-induced damage to the device surface.The prepared LIGF release material demonstrates exceptional thermal and chemical resistance,ensuring robust industrial adaptability.These properties make it a promising candidate for large-scale wafer-/panel-level photonic debonding in advanced packaging applications. 展开更多
关键词 photonic debonding broad-spectrum absorption multiscale nanostructure spatial confinement effect advanced packaging
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Significant Retest Effects in Spatial Working Memory Task 认领 引用
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作者 MA Xianda LAN Zhaohui +3 位作者 CHEN Zhitang MONISHA M L HE Xinyi LI Weidong 《Journal of Shanghai Jiaotong university(Science)》 EI 2025年第1期115-120,共6页
Working memory is a core cognitive function that supports goal-directed behavior and complex thought.We developed a spatial working memory and attention test on paired symbols(SWAPS)which has been proved to be a usefu... Working memory is a core cognitive function that supports goal-directed behavior and complex thought.We developed a spatial working memory and attention test on paired symbols(SWAPS)which has been proved to be a useful and valid tool for spatial working memory and attention studies in the fields of cognitive psychology,education,and psychiatry.The repeated administration of working memory capacity tests is common in clinical and research settings.Studies suggest that repeated cognitive tests may improve the performance scores also known as retest effects.The systematic investigation of retest effects in SWAPS is critical for interpreting scientific results,but it is still not fully developed.To address this,we recruited 77 college students aged 18–21 years and used SWAPS comprising 72 trials with different memory loads,learning time,and delay span.We repeated the test once a week for five weeks to investigate the retest effects of SWAPS.There were significant retest effects in the first two tests:the accuracy of the SWAPS tests significantly increased,and then stabilized.These findings provide useful information for researchers to appropriately use or interpret the repeated working memory tests.Further experiments are still needed to clarify the factors that mediate the retest effects,and find out the cognitive mechanism that influences the retest effects. 展开更多
关键词 working memory retest effects spatial working memory and attention test on paired symbols(SWAPS) memory load
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Spatial distribution structure of new infrastructure and impacts of digital economy 认领 引用
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作者 ZHANG Lei YUAN Jingfeng +2 位作者 LIU Bingsheng XUE Bin SUI Yijun 《Journal of Southeast University(English Edition)》 EI CAS 2026年第2期225-232,共8页
With the development of 5th Generation Mobile Communication Technology(5G),industrial internet,artificial intelligence,smart manufacturing,smart construction,and other new technologies or new industries,a new infrastr... With the development of 5th Generation Mobile Communication Technology(5G),industrial internet,artificial intelligence,smart manufacturing,smart construction,and other new technologies or new industries,a new infrastructure has emerged.The scale and the spatial distribution structure of new infrastructure across various regions of China from 2020 to 2022 were measured based on the official annual engineering construction project plans,and the impacts of the digital economy were analyzed by using the spatial Durbin model.The results indicate that the new infrastructure projects are mainly distributed in Eastern,Central,and Southern China.Meanwhile,the Moran’s I index demonstrates a statistically significant positive spatial autocorrelation,indicating that there is a significant trend of spatial agglomeration among these new infrastructure projects.The digital economy is significantly affecting the spatial distribution of the new infrastructure.The impact of the digital economy on the new infrastructure can cross regions and has significant spatial spillover effects,which reflects the virtual characteristic of the new infrastructure and digital economy.Therefore,various regions should coordinate the digital economic development needs of local and surrounding regions to rationally plan new infrastructure projects,ensuring the supporting capacity of infrastructure while preventing over-investment. 展开更多
关键词 new infrastructure digital economy spatial agglomeration spatial spillover effect
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The Interaction Mechanism Between Urban Scale Hierarchy and Urban Networks in China:An Analysis Based on A Spatial Simultaneous Equation Model 认领 引用
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作者 ZHOU Ying ZHENG Wensheng WANG Xiaofang 《Chinese Geographical Science》 SCIE CAS CSCD 2026年第1期19-33,共15页
Owing to intensified globalization and informatization,the structures of the urban scale hierarchy and urban networks between cities have become increasingly intertwined,resulting in different spatial effects.Therefor... Owing to intensified globalization and informatization,the structures of the urban scale hierarchy and urban networks between cities have become increasingly intertwined,resulting in different spatial effects.Therefore,this paper analyzes the spatial interaction between urban scale hierarchy and urban networks in China from 2019 to 2023,drawing on Baidu migration data and employing a spatial simultaneous equation model.The results reveal a significant positive spatial correlation between cities with higher hierarchy and those with greater network centrality.Within a static framework,we identify a positive interaction between urban scale hierarchy and urban network centrality,while their spatial cross-effects manifest as negative neighborhood interactions based on geographical distance and positive cross-scale interactions shaped by network connections.Within a dynamic framework,changes in urban scale hierarchy and urban networks are mutually reinforcing,thereby widening disparities within the urban hierarchy.Furthermore,an increase in a city’s network centrality had a dampening effect on the population growth of neighboring cities and network-connected cities.This study enhances understanding of the spatial organisation of urban systems and offers insights for coordinated regional development. 展开更多
关键词 urban scale hierarchy urban networks spatial interaction spatial spillover effect Baidu migration data spatial simultaneous equation model China
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2D nonlinear seismic response characteristics of a cross-strait seabed site considering seawater-seabed coupling effects 认领 引用
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作者 Chen Guoxing Jiang Zhijie +3 位作者 Wang Yanzhen Zhao Kai Chen Weiyun Charng-Hsein Juang 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2026年第3期591-618,共28页
Existing research indicates that seismic responses in deep soft seabeds are affected by fluid-solid coupling,seabed micro-topography,soil spatial heterogeneity,and nonlinearity.To address these complexities,this study... Existing research indicates that seismic responses in deep soft seabeds are affected by fluid-solid coupling,seabed micro-topography,soil spatial heterogeneity,and nonlinearity.To address these complexities,this study develops an integrated nonlinear seismic response analysis for a cross-strait transect.The method comprehensively incorporates the strait basin geometry,detailed seabed microtopographic features,spatially varying soil properties(including S and P wave velocity structures),a nonuniform mesh layout of the transect,and appropriate artificial boundary conditions.Particular emphasis is placed on the seawater-seabed interaction,simulated via a weak coupling algorithm for fluid-solid interaction,and on the soil’s nonlinear hysteretic behavior.Numerical simulations,conducted without considering seawater effects,reveal three key findings.First,bedrock motion components near the seabed fundamental frequency show enhanced upward propagation through the soil deposits.Second,seabed microtopography exerts a more pronounced influence on vertical seafloor motions than on horizontal components.Third,a resonance-like phenomenon occurs near 2 Hz for both horizontal and vertical motion components.The complex interplay of seismic wave reflection,refraction,and interference within heterogeneous deposits generates intricate,strongly coupled amplification patterns.However,when seawater-seabed coupling is considered,significant suppression of seafloor peak accelerations is observed,especially in deepwater regions.Vertical motions exhibit more pronounced suppression within specific narrow frequency bands compared to horizontal motions.The seabed seismic responses exhibit significant higher-frequency suppression(near 4-5 Hz)and low frequency amplification(<0.5 Hz),while the resonance-like responses near 2.0 Hz for both horizontal and vertical components are diminished.Crucially,the degree of suppression or amplification of these resonance-like responses correlates positively with the seabed bedrock motion intensity. 展开更多
关键词 nonlinear seismic site response large-scale seabed site seabed micro-topography soil spatial heterogeneity fluid-solid coupling effect
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The Impact,Influence Mechanisms,and Spatial Effects of Digital Village Development on Farmers’Consumption 认领 引用
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作者 Liu Xinzhi Zhou Hanmei Kong Fangxia 《Contemporary Social Sciences》 2025年第4期105-124,共20页
The development of digital villages and the expansion of farmers’consumption are important measures for expanding domestic demand and enhancing rural productive forces.Based on provincial panel data from China spanni... The development of digital villages and the expansion of farmers’consumption are important measures for expanding domestic demand and enhancing rural productive forces.Based on provincial panel data from China spanning 2010 to 2022,this paper establishes an evaluation indicator system for the development of digital villages,and empirically examines the impact of the development of digital villages on farmers’consumption growth,as well as its mechanisms,and spatial spillover effects.The results indicate that digital village development significantly promotes growth in the consumption of farmers,with the effects being more pronounced in the central and western regions.Mechanism analysis reveals that digital village development has a significant income-increasing effect and it improves the convenience of payments,both of which serve as important channels for promoting farmers’consumption growth.Further analysis demonstrates the significant spatial spillover effects of digital village development on farmers’consumption growth.Specifically,farmers’consumption growth is not only directly influenced by local digital village development and the demonstration effect of consumption growth in neighboring regions,but it is also indirectly influenced by the digital village development of nearby areas.Therefore,the promotion of digital village development,tailored to local conditions,the broadening of channels for increasing farmers’income,the strengthening of digital inclusive finance,and the rational leveraging of the spatial spillover effects of digital village development can further unleash the potential of farmers’consumption. 展开更多
关键词 digital village development farmers’consumption income-increasing effect spatial spillover effect
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Spatial Patterns and Multidimensional Drivers of Land Use Inefficiency in Quanzhou,China:Insights from Explainable Machine Learning 认领 引用
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作者 KE Zehua WEI Wei +1 位作者 HONG Mengyao XIA Junnan 《Chinese Geographical Science》 SCIE CAS CSCD 2026年第7期1265-1282,共18页
As urban development shifts from outward expansion to stock-based regeneration,inefficient urban land has become a critical constraint on land resource allocation,urban renewal,and sustainable spatial governance.To su... As urban development shifts from outward expansion to stock-based regeneration,inefficient urban land has become a critical constraint on land resource allocation,urban renewal,and sustainable spatial governance.To support differentiated urban renewal and sustainable land governance,this study examined the spatial patterns,factor contributions,and their interaction mechanisms of inefficient land use in 2022 within the urban development boundary of Quanzhou,Fujian Province southeastern of China.Based on the official 2022 citywide survey of inefficient urban land,multisource geographic and socioeconomic data were integrated with spatial statistical analysis,extreme gradient boosting(XGBoost),and Shapley additive explanations(SHAP).The results show that 5396 inefficient land parcels were identified in 2022,covering 7762.44 ha.Industrial land accounted for the largest area share(59.23%),followed by residential land(38.67%)and commercial land(2.10%).Inefficient land displayed a clear northwest-southeast distributional orientation and was mainly distributed across core urban areas,traditional industrial agglomeration zones,and county-level urban nodes.For total inefficient land,the Global Moran’s I reached 0.97,and High-High clusters were mainly located in Licheng District,southern Jinjiang City,and the county-level urban centers of Dehua and Yongchun,indicating concentration in old urban districts,mixed industrial-residential spaces,and county-level built-up areas.The SHAP results reveal type-specific but multidimensional mechanisms.Industrial inefficiency reflected the compatibility between production-space organization,transport and service support,ecological-location conditions,and market value;residential inefficiency was shaped by the coordination among parcel organization,community services,population demand,and mobility support;and commercial inefficiency depended on the matching among development intensity,road and public transport conditions,population distribution,and ecological-location conditions.These findings suggest type-specific renewal strategies,including parcel consolidation and production-supporting function improvement for industrial land,neighborhood-scale service coordination for residential land,and functional matching among development intensity,road and public transport capacity,population distribution,and ecological-location conditions for commercial land. 展开更多
关键词 inefficient land use explainable machine learning urban spatial governance coastal development sustainable transition interaction effects Quanzhou,China
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Spatial Effects of Carbon Emission Trading Policy on Energy Efficiency in China:Mediating Role of Financial Efficiency and Industrial Structure 认领 引用
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作者 LÜ Zehua WANG Bin 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2025年第5期508-522,共15页
China has implemented Carbon Emission Trading Policy(CETP)to address climate change and the energy crisis since 2013.However,the spatial spillover effects of CETP on energy efficiency have received limited attention.T... China has implemented Carbon Emission Trading Policy(CETP)to address climate change and the energy crisis since 2013.However,the spatial spillover effects of CETP on energy efficiency have received limited attention.This study addresses this deficiency by applying the spatial difference-in-differences(SDID)model to assess the impact of CETP on energy efficiency and its spillover effects across a balanced panel dataset covering 30 provinces and province-level municipalities of China from 2008 to 2020.The results reveal that CETP has significantly improved regional energy efficiency,with positive spatial spillovers observed across provincial boundaries,im-plying that CETP's benefits extend beyond geographical borders.Notably,although the spatial correlation of energy efficiency has re-mained positive,it has shown a gradual weakening trend since 2013.Further mechanistic analysis reveals that CETP improves energy effi-ciency by optimizing industrial structures and restricting financial efficiency.Finally,the policy has been particularly effective in the west-ern regions of China and in areas with high pollution and stringent environmental law enforcement.This study provides a valuable refer-ence for policymakers on integrating financial and industrial strategies with energy policies and offers a scientific foundation for the poten-tial nationwide expansion of CETP. 展开更多
关键词 energy efficiency carbon emission trading policy spatial effects industrial structure financial efficiency spatial differencein-differences model
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Spatially fractionated radiotherapy:Integrated dose heterogeneity and radiobiology for bulky tumor 认领 引用
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作者 Ling-Ling Meng Lin Ma +1 位作者 Bao-Lin Qu Yu-Peng Di 《World Journal of Clinical Oncology》 2026年第6期95-100,共6页
Spatially fractionated radiotherapy(SFRT)offers a promising investigational strategy to address the dilemma of maximizing tumor ablation while sparing adjacent normal tissues through controlled intra-tumoral dose hete... Spatially fractionated radiotherapy(SFRT)offers a promising investigational strategy to address the dilemma of maximizing tumor ablation while sparing adjacent normal tissues through controlled intra-tumoral dose heterogeneity.This approach utilizes partial-volume high-dose exposure,hypothesized to leverage the regenerative capacity of normal tissues-as suggested by low toxicity rates observed in preliminary cohorts like the SBRT-PATHY pilot study.Furthermore,SFRT is thought to potentially contribute to tumor control through putative pathways including tumor necrosis factor-alpha/ceramide-mediated bystander cytotoxicity and immunogenic cell death-induced immune responses.While early clinical observations in bulky tumors(>8 cm)indicate encouraging response rates with manageable toxicity,the transition from these mechanistic hypotheses and small-scale exploratory data to standardized clinical practice requires further validation through robust,randomized trials. 展开更多
关键词 Spatially fractionated radiotherapy Dose heterogeneity Normal tissue sparing Bystander-abscopal effects Bulky radioresistant tumors
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Agricultural Carbon Emissions in Henan Province:Influence Mechanism,Regional Differences and Spatial Effects 认领 引用
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作者 Hu Jingna He Puming Cui Weiwei 《Journal of Northeast Agricultural University(English Edition)》 CAS 2025年第1期45-58,共14页
Exploring the effective and efficient path of agricultural carbon emission reduction in Henan Province is of great significance to optimizing the strategic layout of China's agricultural emission reduction and car... Exploring the effective and efficient path of agricultural carbon emission reduction in Henan Province is of great significance to optimizing the strategic layout of China's agricultural emission reduction and carbon sequestration.Accordingly,the agricultural carbon emissions of each county were measured scientifically and then the spatial measurement model was utilized to clarify the spatial and temporal evolution trend and spatial effect mechanism of agricultural carbon emissions based on the county data of Henan Province from 2010 to 2020.The results showed that:(1)in 2020,the total agricultural carbon emissions were 134.7274 million tons,with the high distribution in the southeast and low distribution in the northwest;(2)the spatial dependence of agricultural carbon emissions showed a four-stage trend of fluctuating down-continuing up-plummeting-fluctuating up again,and the spatial heterogeneity was dominated by low-low agglomeration,followed by high-low agglomeration;(3)there was an inverted U curve relationship between the level of agricultural economic development and agricultural carbon emissions.The increase in the level of agricultural mechanization and urbanization rate significantly reduced agricultural carbon emissions.The opposite was true for the financial support for agriculture,the income level of rural residents and the structure of the agricultural industry;(4)in terms of spatial spillover effects,the increase in the level of agricultural development in neighbor counties first increased and then decreased agricultural carbon emissions in Henan Province.The mechanization level and urbanization rate of neighbor counties reduced agricultural carbon emissions in Henan Province,and the opposite was true for the income level of rural residents and the scale utilization of agricultural land. 展开更多
关键词 Henan Province agricultural carbon emission spatiotemporal evolution spatial spillover effect
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Calculation method of spatial effect and safety factor of V-shaped gully embankment 认领 引用
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作者 Yun Que Jisong Zhang +1 位作者 Xiaohui Zhu Zhihang Wang 《Journal of Highway and Transportation Research and Development(English Edition)》 2025年第3期18-27,共10页
V-shaped gully embankment presents unique spatial effect due to special terrain.To study the impact of terrain factors,to shore side Angle,groove width,high embankment fill,trailing edge slope and frontal slope factor... V-shaped gully embankment presents unique spatial effect due to special terrain.To study the impact of terrain factors,to shore side Angle,groove width,high embankment fill,trailing edge slope and frontal slope factor as control variable,and gray relevance principle on the basis of the principle of strength reduction method,the spatial effect mechanism,influence factors and the correlation degree,three-dimensional slope safety factor calculation method and the effects of space conditions are analyzed.The results show that the deformation of embankment is constrained by the side bank of the gully,and the uneven displacement occurs,which leads to the deflection of the stress transfer inside the embankment,and the partial earth pressure is transferred to the side bank,and the soil arch phenomenon occurs inside the embankment.The four factors influencing the spatial effect of embankment are side bank Angle,ditch bottom width,embankment filling height and frontal slope factor.At the same time,based on the spatial effect coefficient curve,the calculation method of three-dimensional embankment stability coefficient and the necessary and sufficient conditions for spatial effect are proposed.By comparing the results of the three-dimensional stability coefficient calculation method established in this paper with the traditional strength reduction method under different conditions,it is found that the spatial effect coefficient is only related to the four topographic factors such as the width of the ditch bottom,and has nothing to do with the mechanical parameters or constitutive model of the embankment fill and bedrock.Finally,the accuracy is verified by engineering cases,which can provide reference for the calculation of similar embankment stability coefficient. 展开更多
关键词 Road engineering Embankment spatial effect Strength reduction method V-shaped gully Safety factor
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Water resource utilization efficiency and spatial spillover effects in China 认领 引用 被引量：34
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作者 SUN Caizhi ZHAO Liangshi +1 位作者 ZOU Wei ZHENG Defeng 《Journal of Geographical Sciences》 SCIE CSCD 2014年第5期771-788,共18页
Based on provincial panel data of water footprint and grey water footprint, and with the help of data envelopment analysis model considering and without considering the unde- sirable output, this paper estimates the w... Based on provincial panel data of water footprint and grey water footprint, and with the help of data envelopment analysis model considering and without considering the unde- sirable output, this paper estimates the water resources utilization efficiency in China from 1997 to 2011. The spatial weighting matrix based on economy-spatial distance function is established to discuss spatial autocorrelation of water resources utilization efficiency. With the help of absolute/3-convergence model, this paper concludes that there exists/%convergence in the water resources utilization efficiency. Under the conditions of considering and without considering the undesirable output, it takes about 52.6 and 5.6 years respectively to achieve the extent of half of convergence. By mean of the spatial Durbin econometric model, this paper studies spatial spillover effects of the provincial water resources utilization efficiency in China. The results are as follows. 1） With considering and without considering the undesir- able output, there is significant spatial correlation in provincial water resource efficiency in China. 2） Under the two cases, the spatial autoregressive coefficients （p） are 0.278 and 0.507 respectively, at 1% significance level. There exist the spatial spillover effects of provin- cial water resources utilization efficiency. 3） With considering the undesirable output, these factors of the education funds, the transportation infrastructure, and the industrial and agri- cultural water consumption proportion have positive impacts. These factors of foreign direct investment, the industry value-added water consumption per ten thousand yuan, per capita water consumption, and the total precipitation have negative impacts. 4） Without considering the undesirable output, the factor of GDP per laborer has a greater positive significant influ- ence on the water resources utilization efficiency. However the facts of industry value-added water consumption in ten thousand yuan and the transportation infrastructure have no sig- nificant influence. 5） Regardless of undesirable output of water resources utilization efficiency the assessment of the present real water resources utilization in China will be distorted and policy-making will be misled. The water efficiency measure considering environmental factors （such as gray water footprint） is more reasonable. 展开更多
关键词 water resources utilization efficiency SBM model undesirable output spatial effect spatial Durbineconometric model spillover effects
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HSR mechanisms and effects on the spatial structure of regional tourism in China 认领 引用 被引量：10
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作者 汪德根 王莉 +3 位作者 陈田 陆林 牛玉 ALAN August Lew 《Journal of Geographical Sciences》 SCIE CSCD 2016年第12期1725-1753,共29页
Chinese railway has entered the ＂HSR era＂, while the structure of ＂four vertical and four horizontal＂ railways for transit passengers is almost completed. Taking the Beijing-Shanghai High-Speed Rail （hereinafter ... Chinese railway has entered the ＂HSR era＂, while the structure of ＂four vertical and four horizontal＂ railways for transit passengers is almost completed. Taking the Beijing-Shanghai High-Speed Rail （hereinafter referred to as HSR） as an example, this paper first explores HSR＇s effects on the spatial structure of regional tourist flows using the social network analysis. Next, it notes changes in the accessibility of regional transportation. After analyzing the factors including initial endowment of regional tourism resources, hospitality facilities, the density of the regional tourism transportation network, and locations, the paper discusses the mechanisms through which HSR affects regional tourist flows. The study shows the following： （1） HSR＇s effects on the spatial structure of regional tourist flows are manifested through the Matthew effect, the filtering effect, the diffusion effect and the overlying effect, and （2） the Matthew effect of HSR is manifested under an obvious interaction of the location, the initial endowment of tourism resources, hospitality capacity, tourist transportation network density and ＂time-space compression＂. The filtering effect of HSR is manifested for those tourism nodes without favorable location conditions, endowment of tourism resources, hospitality capacity, or tourist transportation network density and without obvious benefits from ＂time-space compression＂. Those tourism nodes that boast advantages in terms of lo- cation condition, endowment of tourism resources, hospitality capacity, tourist transportation network density and obvious ＂time-space compression＂ will become sources for the diffusion effect. HSR will strengthen the aggregation effects of tourist flow in these diffusion sources, which will thereafter diffuse to peripheral tourist areas, manifesting ＂aggregation-diffusion＂. HSR has overlapped tourists＇ spatial traveling range over large-scale spaces. However, the overlying effect is only generated in those tourism nodes with a favorable location condition, an endowment of tourism resources, hospitality capacity, tourist transportation network den- sity, and obvious ＂time-space compression＂. 展开更多
关键词 spatial structure HSR effect mechanism Beijing-Shanghai HSR
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Spatial spillover effect and driving forces of carbon emission intensity at the city level in China 认领 引用 被引量：31
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作者 WANG Shaojian HUANG Yongyuan ZHOU Yuquan 《Journal of Geographical Sciences》 SCIE CSCD 2019年第2期231-252,共22页
In this study, we adopt kernel density estimation, spatial autocorrelation, spatial Markov chain, and panel quantile regression methods to analyze spatial spillover effects and driving factors of carbon emission inten... In this study, we adopt kernel density estimation, spatial autocorrelation, spatial Markov chain, and panel quantile regression methods to analyze spatial spillover effects and driving factors of carbon emission intensity in 283 Chinese cities from 1992 to 2013. The following results were obtained.(1) Nuclear density estimation shows that the overall average carbon intensity of cities in China has decreased, with differences gradually narrowing.(2) The spatial autocorrelation Moran's I index indicates significant spatial agglomeration of carbon emission intensity is gradually increasing; however, differences between regions have remained stable.(3) Spatial Markov chain analysis shows a Matthew effect in China's urban carbon emission intensity. In addition, low-intensity and high-intensity cities characteristically maintain their initial state during the transition period. Furthermore, there is a clear "Spatial Spillover" effect in urban carbon emission intensity and there is heterogeneity in the spillover effect in different regional contexts; that is, if a city is near a city with low carbon emission intensity, the carbon emission intensity of the first city has a higher probability of upward transfer, and vice versa.(4) Panel quantile results indicate that in cities with low carbon emission intensity, economic growth, technological progress, and appropriate population density play an important role in reducing emissions. In addition, foreign investment intensity and traffic emissions are the main factors that increase carbon emission intensity. In cities with high carbon intensity, population density is an important emission reduction factor, and technological progress has no significant effect. In contrast, industrial emissions, extensive capital investment, and urban land expansion are the main factors driving the increase in carbon intensity. 展开更多
关键词 Chinese cities kernel density estimation spatial autocorrelation spatial spillover effect spatial Markov chain quantile regression panel model
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Air pollution effects of industrial transformation in the Yangtze River Delta from the perspective of spatial spillover 认领 引用 被引量：7
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作者 CHEN Yufan XU Yong WANG Fuyuan 《Journal of Geographical Sciences》 SCIE CSCD 2022年第1期156-176,共21页
The Yangtze River Delta(YRD) is a region in China with a serious contradiction between economic growth and environmental pollution. Exploring the spatiotemporal effects and influencing factors of air pollution in the ... The Yangtze River Delta(YRD) is a region in China with a serious contradiction between economic growth and environmental pollution. Exploring the spatiotemporal effects and influencing factors of air pollution in the region is highly important for formulating policies to promote the high-quality development of urban industries. This study uses the spatial Durbin model(SDM) to analyze the local direct and spatial spillover effects of industrial transformation on air pollution and quantifies the contribution of each factor. From 2008 to 2018, there was a significant spatial agglomeration of industrial sulfur dioxide emissions(ISDE) in the YRD, and every 1% increase in ISDE led to a synchronous increase of 0.603% in the ISDE in adjacent cities. The industrial scale index(ISCI) and industrial structure index(ISTI), as the core factors of industrial transformation, significantly affect the emissions of sulfur dioxide in the YRD, and the elastic coefficients are 0.677 and-0.368, respectively. The order of the direct effect of the explanatory variables on local ISDE is ISCI>ISTI>foreign direct investment(FDI)>enterprise technological innovation(ETI)>environmental regulation(ER)> per capita GDP(PGDP). Similarly, the order of the spatial spillover effect of all variables on ISDE in adjacent cities is ISCI>PGDP>FDI>ETI>ISTI>ER, and the coefficients of the ISCI and ISTI are 1.531 and 0.113, respectively. This study contributes to the existing research that verifies the environmental Kuznets curve in the YRD, denies the pollution heaven hypothesis, indicates the Porter hypothesis, and provides empirical evidence for the formation mechanism of regional environmental pollution from a spatial spillover perspective. 展开更多
关键词 industrial agglomeration industrial structure adjustment industrial transformation air pollution spatial spillover effect spatial Durbin model
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Grey spatial solitons due to two-photon photorefractive effect 认领 引用 被引量：35
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作者 张宇 侯春风 孙秀冬 《Chinese Physics B》 CAS 2007年第1期159-164,共6页
This paper predicts that grey spatial solitons can exist in two-photon photorefractive materials. In steady state and undcr appropriate external bias conditions, it obtains the grey spatial soliton solutions of the op... This paper predicts that grey spatial solitons can exist in two-photon photorefractive materials. In steady state and undcr appropriate external bias conditions, it obtains the grey spatial soliton solutions of the optical wave evolution equation. The intensity profile, phase distribution, and transverse velocity of these grey solitons are discussed. 展开更多
关键词 photorefractive effect spatial soliton photorefractive material
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