Spatial Impact Research Articles

The spatial impact of high bridges on travel accessibility and economic integration in Guizhou, China: a scenario-based analysis

The spatial impact of high bridges on travel accessibility and economic integration in Guizhou, China: a scenario-based analysis

Multiple environmental regulations and green technology innovation: a boundary theory perspective

Purpose Based on boundary theory, the authors try to clarify the boundaries of multiple environmental regulations. This paper aims to explore the strategic choices of multiple environmental regulations, analyze their spatial impact on green technology innovation and clarify the implementation priorities of multiple environmental regulations in various regions. Design/methodology/approach The authors construct an asymmetric response model based on the boundary theory perspective to analyze the strategic choices of different environmental regulations. In addition, dynamic spatial econometric methods are used to empirically analyze the differentiated regulatory boundaries of command-control type, market-incentive and voluntary-participation in environmental regulations and their spatial effects on green technology innovation. Findings Strict compulsory boundaries are formed in China when the command-control and market-incentive types are selected in a dynamic spatial and competitive game environment. When voluntary participation is selected, strict compulsory or loose basic boundaries are formed in each region. The command-control type is highly dependent on geographical distance, the market-incentive type is more dependent on an economic connection and the voluntary-participation type has obvious spatial spillover effects under the spatial weight matrix of geographical distance and economic connection. When Eastern China chooses voluntary participation in environmental regulation, the incentive effect on green technology innovation is the strongest. Middle China is the market-incentive type, and Western China is the command-control type. Command-control type and market-incentive type form strong complementary effects in dynamic spatial environments. Originality/value From the boundary theory perspective, this study analyzes the differentiated dynamic spatial boundaries of command-control, market-incentive and voluntary-participation in environmental regulations. Analyze the spatial impact of multiple environmental regulations on green technology innovation and clarify the implementation priorities of multiple environmental regulations in various regions.

Revesting the spatial spillover effects of renewable energy in curbing carbon emissions: Evidence from China

Renewable energy is fundamental to achieving China's peak carbon and carbon neutrality targets. Despite the extremely rapid growth in the share of renewable energy generation in terms of provincial-level regions, the impact of renewable energy generation on carbon emission reduction and whether this association is spatially correlated have not been fully recognized. To address this issue, this paper explores the spatial impact effect of renewable energy applications on carbon emissions using Chinese provincial panel data from 1990 to 2020 and a multi-panel spatial econometric model. The results show that the contribution of emission reduction mainly comes from the provincial clean energy mix, while the exclusion of out-of-province power plants also helps to curb their carbon emissions. In addition, in the context of large-scale penetration of renewable energy, grid infrastructure for cross-provincial power trading will contribute to cross-provincial emission reduction. Regulators should take measures to promote coordination of emission reduction policies among provinces in a unified national carbon market, rather than simplifying the allocation of responsibilities in provincial markets. Based on the findings of this paper, there is a need to rationalize and optimize the geospatial distribution of renewable energy projects in the future, so as to maximize the potential of renewable energy to contribute to carbon emission reduction.

Equality in the water: How does water ecological civilization city policy enhance inclusive development in China?

This paper constructs an index system to measure the level of inclusive development in China's 283 cities during 2005–2021, and then empirically examines the spatial impact of water ecological civilization city policy, an environmental regulation policy, on inclusive development, based on the spatial difference-in-differences approach. This study offers some fresh insights with the following research findings. First, water ecological civilization city policy plays a positive role in stimulating inclusive development not only in pilot cities locally, but also in surrounding cities due to the spatial spillover effect. Moreover, the spatial spillover effects attenuate as the distance thresholds expand. Second, the heterogeneous impact of water ecological civilization city policy on inclusive development is confirmed, which is more effective in cities with lower population density, lower Engel coefficient, and that are resource-based. Third, water ecological civilization city policy directly promotes inclusive development by accelerating affluence, harmony, and sustainability, which are three pillars of inclusive development. Fourth, this paper also figures out two mediators between the nexus of water ecological civilization city policy and inclusive development, namely residential medical expenditure and human capital, which successfully advanced the current academic findings regarding the negative role of environmental pollution in people's living health and work conditions.

Spatial and temporal analysis of vulnerability disparity of minorities to wildfires in California

Wildfires typically have devastating impacts on communities, both in urban and rural areas, resulting in property loss, psychological distress, physical injuries, and loss of life. A notable gap in the literature is the spatial and temporal disproportionate impact of wildfires on underrepresented communities. This lack of attention is concerning, as these underrepresented populations are likely to be more vulnerable to the devastating consequences of wildfire disasters, exacerbating pre-existing social, economic, and environmental disparities. This study aims to address this gap by conducting a comprehensive spatial and temporal analysis of the vulnerability of underrepresented communities such as the Black, Asian, Hispanic, Native American, among others, in the State of California. We deploy methodological tools such as Getis-Ord Gi∗ to identify areas exhibiting heightened vulnerability across diverse minority groups. Additionally, disparity degrees are measured using Location Amplitude Index among these minority populations. Our findings reveal significant spatial and temporal shifts in vulnerability disparities for Native American communities in Los Angeles County, the Black communities in Orange County, and all minority groups in San Diego County. Shedding light on the underrepresented communities' vulnerabilities to wildfires, this research contributes to the development of targeted and equitable strategies for wildfire preparedness, response, and recovery efforts. Furthermore, this study highlights the urgent need for addressing the environmental justice implications of wildfire disasters and considering minorities’ disparity in wildfire risk management and climate change adaptation planning.

Geospatial monitoring and analysis of agricultural drought to identify hotspots and risk assessment for Senegal

Agricultural drought, characterized by insufficient soil moisture crucial for crop growth, poses significant challenges to food security and economic sustainability, particularly in water-scarce regions like Senegal. This study addresses this issue by developing a comprehensive geospatial monitoring system for agricultural drought using the Regional Hydrologic Extremes Assessment System (RHEAS). This system, with a high-resolution of 0.05°, effectively simulates daily soil moisture and generates the Soil Moisture Deficit Index (SMDI)-based agricultural drought monitoring. The SMDI derived from the RHEAS has effectively captured historical droughts in Senegal over the recent 30 years period from 1993 to 2022. The SMDI, also provides a comprehensive understanding of regional variations in drought severity (S), duration (D), and frequency (F), through S-D-F analysis to identify key drought hotspots across Senegal. Findings reveal a distinct north-south gradient in drought conditions, with the northern and central Senegal experiencing more frequent and severe droughts. The study highlights that Senegal experiences frequent short-duration droughts with high severity, resulting in extensive spatial impact. Additionally, increasing trends in drought severity and duration suggest evolving climate change effects. These findings emphasize the urgent need for sustainable interventions to mitigate drought impacts on agricultural productivity. Specifically, the study identifies recurrent and intense drought hotspots affecting yields of staple crops like maize and rice, as well as cash crops like peanuts. The developed high-resolution drought monitoring system for Senegal not only identifies hotspots but can also enables prioritizing sustainable approaches and adaptive strategies, ultimately sustaining agricultural productivity and resilience in Senegal's drought-prone regions.

Innovative talent agglomeration, spatial spillover effects and regional innovation performance-Analyzing the threshold effect of government support.

As the primary source of innovation in science and technology, the gathering of creative talent plays a significant role in fostering regional innovation and providing the impetus needed to realize the Chinese people's aspiration of a great national rejuvenation. Using panel data from 31 provinces over a 12-year period between 2009 and 2020, the spatial Durbin model is constructed to examine the spatial spillover impact of talent agglomeration on the advancement of regional innovation performance, and the panel threshold model is identified and set up to consider whether the nonlinear effect between talent agglomeration and regional achievements in innovation is significant. The analysis demonstrates that: talent pooling has a non-linear effect on the level of innovation performance development, within a certain scale, talent pooling produces an increasing marginal contribution to innovation performance, but after exceeding the limit, it produces a diminishing marginal contribution; the double threshold effect of talent pooling on regional innovation performance is more significant, and government support as a moderating variable confirms that there is a structural mutation between talent pooling and innovation capability. The structural mutation, within a certain threshold range, plays the role of efficient promotion, providing reference for improving regional innovation level.

Spatiotemporal Relationship Between Land Subsidence and Ecological Environmental Quality in Shenfu Mining Area, Loess Plateau, China

The exploitation of coal resources has caused problems such as ground deformation, affecting the ecological environment. Spatiotemporal varying characteristics between land subsidence and ecological environmental quality (EEQ) are an important research hotspot. Using the SBAS-InSAR method, 64 Sentinel-1 images were utilized to monitor land subsidence in the Shenfu mining area, one of China’s largest coal source regions. And the remote sensing ecological index (RSEI) was used to monitor and evaluate EEQ of the Shenfu mining area. Global and local spatial autocorrelation methods were used to assess the spatial aggregation degree and change patterns over time. Spatial Econometric Models were employed to explore the impacts of land subsidence on EEQ. The results showed the following: (1) The average RSEI values in the Shenfu mining area were 0.531, 0.488, and 0.523 in 2016, 2018, and 2020, respectively; there was a slight downward trend in EEQ. The permanent scatter (PS) point deformation rate ranged from −353.40 mm/year to +246.24 mm/year, with average deformation rates of 0.1642, 0.2181, and 0.2490 mm/year, respectively. (2) There was a significant correlation and spatial agglomeration effect between land surface subsidence and EEQ. Low–high, high–low, and low–low clusters were the main types of relationships, indicating that land subsidence primarily has a negative spatial impact on the ecological environment. (3) The relationship between land subsidence and EEQ varied spatially in the Shenfu mining area at 500 × 500 grid units. This research can provide scientific guidance for disaster prevention and sustainable development in mining areas by considering long-term differences in ecological environmental quality and its correlation with land subsidence.

Spatial correlation effect of haze pollution in the Yangtze River Economic Belt, China.

With the rapid development of industry, haze pollution has become an urgent environmental problem. This study innovatively utilizes network-based methods to investigate the spatial correlation effects of haze pollution transmission between urban clusters in the Yangtze River Economic Belt. A spatial correlation network of haze pollution in the Yangtze River Economic Belt was constructed using 328 urban meteorological data collection points as research samples, and its structural characteristics were examined. Main findings are as follows: (1) The spatial correlation network of PM2.5 in the Yangtze River Economic Belt urban agglomeration exhibits typical network structural characteristics: obvious spatial correlation within the network. (2) Chengdu, Chongqing, Wuhan, Nanchang, Yichang, Changsha and Yueyang are located at the center of the spatial network. They have more receiving and sending relationships. (3) 36 cities can be divided into four types: bilateral overflow, net beneficiary, net overflow and broker. Each type has different functional characteristics and linkage effects in the network. (4) Haze pollution positively correlates with the city's synergistic development capacity and urbanization rate, the higher the city's development level and the higher the Urbanization rate, the stronger its haze pollution capacity. This study provides new insights into the study of the spatial correlation and impact of haze pollution.

Hadiths on the Apostate Al-Had and Its Understanding Through the Temporal and Spatial Dimension and Its Application

The issue of Al-hudud is considered to be one of the important matters. In this respect many texts in Quran and Sunnah have been provided. The good understanding of these texts is urgently needed in order for its understanding to be rectified and how these texts are to be applied. There are a lot of Hadiths (prophet's narrative) about the rule of apostate, but its misinterpretation has led many Muslims to fall into doubts and deviation from the prophetic curriculum due to the fixation on texts and their outward meanings that are understood from the apparent meaning of the text in disregard of other related Hadiths on the same subject. From among those important issues and prerequisite criterions to understand these texts is to take into account the temporal and spatial dimension of those texts. For this end, we must follow the suit of the prophet and his companions who are adopting scientific measurements for the understanding of revered prophetic texts. We have collected all in relation with Ahadith on this matter and we have explained the temporal and spatial impact for the understanding of these Ahadith and their context through many other texts which have been provided on this issue. For this reason, we have chosen this topic and entitled it "Hadiths on the apostate Al-had and its understanding through the temporal and spatial dimension and its application" in an attempt to clarify the effect of temporal and spatial dimension on the understanding and interpretation of the Sunnah of Prophet Mohammed.

Spatial impact of green finance reform pilot zones on environmental efficiency: A pathway to mitigating China's energy trilemma

The energy trilemma is a critical global challenge requiring urgent resolution; however, existing solutions remain inefficient. This study utilizes a detailed environmental input-output indicator system, applying the SBM-DEA model for measurement and incorporating the Spatial Difference-in-Differences (SDID) model to assess the impact of Green Finance Policy (GFP) on environmental efficiency in Chinese cities from 2006 to 2021. The findings demonstrate that GFP significantly enhances environmental efficiency within a 500-km radius, as confirmed by various robustness tests. Mechanism analyses indicate that optimizing industrial structure, reducing energy consumption, advancing green innovation, and strengthening environmental regulations are critical pathways to improving environmental efficiency. Heterogeneity tests further examine the spatial policy effects under different factor endowments. Ultimately, the study concludes that improving environmental efficiency through GFP can alleviate the energy trilemma. This paper highlights the importance of implementing city-specific policies, offering new insights into energy economics, and providing fresh perspectives for policymakers, financial institutions, and enterprises. Despite the study's contributions, future research should further explore the comprehensive effects of GFP on energy, the environment, and the economy to provide more precise and holistic solutions for addressing the energy trilemma.

The Spatial Impact of Innovative Human Capital on Green Total Factor Productivity in Chinese Regions Based on Quantity and Quality Dimensions

Green total factor productivity (GTFP) is a key driver of China’s green development, and innovative human capital (IHC) plays a pivotal role in enhancing GTFP. This study examines the impact of the quantity and quality dimensions of IHC on regional GTFP in China. Using panel data from 30 Chinese provinces from 2004 to 2018, this study constructs a spatial Durbin model (SDM) to empirically analyze the role of IHC in regional GTFP. Three main conclusions are obtained: (1) both the quantity and quality of IHC can significantly and directly improve regional GTFP, yet regional heterogeneity exists. In the eastern region, both IHCA and IHCQ have a significant impact, while in the middle-western region, only IHCA has a significant effect on GTFP; (2) IHC can boost the enhancement of regional GTFP through technological progress; and (3) the quantity of IHC (IHCA) produces a spatial spillover effect on regional GTFP, whereas the quality of IHC (IHCQ) does not exhibit this effect. Based on these conclusions, strategies for the green development of China and the coordinated development of the eastern and middle-western regions are proposed. The Chinese government should integrate IHC development into its environmental policies to improve environmental awareness and optimize the efficiency of human capital, taking regional differences into account.

Research on Dynamic Evaluation Method of Tourist Destination Accessibility Based on Interpretive Structure Model

Because of its core role in the process of tourism, tourism destination has always been the focus of discussion among the industry, but the comprehensive evaluation of tourism destination is rarely mentioned. This paper selects tourism destination as the focus of investigation, gives the evaluation method of tourism destination, adapts to the trend of tourism modernization, and discusses the quantifiable model of tourism destination evaluation. This paper first selects several tourism destinations as samples, collects and combs the information related to spatial equity of tourism destinations, and determines the main problem categories of spatial equity of tourism destinations. Then, through the summary of relevant data and case analysis, a framework of tourism target accessibility risk factors is formed. At the same time, considering the interaction between risk factors, we then give a method to determine the weight that can improve granular computing. First, we use this method to obtain the quotient space family with hierarchical characteristics through the similarity relationship between data, and then we can calculate the importance of each feature in the quotient space family, so as to obtain the corresponding weight between different influence indexes. Finally, the paper takes the tourism destination spatial equity problem as the main research goal, and through the dynamic evaluation of the tourism destination spatial equity risk impact structure using the interpretive structure model, and describes the schematic diagram of its impact structure, so as to find out the direct, source, process and other factors that cause the problem.

The spatial spillover impact of artificial intelligence on energy efficiency: Empirical evidence from 278 Chinese cities

Within the framework of global sustainable development, improving energy efficiency (EE) is recognized as a crucial strategy to address environmental challenges and foster economic growth. This research employs the Spatial Durbin Model to investigate the spatial spillover effects of advancements in artificial intelligence (AI) technology on EE across 278 Chinese cities. The analysis reveals several key findings: first, the advancement of AI technology significantly enhances urban EE and generates a positive spatial spillover effect across different spatial weight matrices; second, there is a nonlinear, inverted U-shaped relationship between AI levels and urban EE; third, industrial structure upgrades play a significant moderating role in the impact of AI technology on urban EE. These insights not only illuminate the complex role of AI in improving regional EE but also provide critical recommendations for policymakers aiming to enhance urban EE and achieve sustainable development goals.

Influence mechanism of digital economy development on the supply efficiency of ecological products

Improving the supply efficiency of ecological products (EPSE) is of great significance to protect the ecological environment, promote the development of green industry and the sustainable growth of the economy. This paper focuses on constructing an evaluation index system for EPSE and exploring the relationship between the development level of the digital economy (DE) and EPSE in China. To measure the EPSE, the study employs the Undesirable Slacks-Based Measurement (SBM) Model across 30 provinces, cities and districts in China from 2011 to 2022. Furthermore, the research utilizes spatial econometric models, panel threshold effect models, and other methodologies to investigate the impact mechanism and non-linear relationship between DE and EPSE. The research shows that: (1) The overall level of EPSE in the study area is relatively low, with significant development differences observed; (2) The DE has a nota-ble spatial spillover effect on EPSE, with a significantly negative impact in neighboring areas; (3) The development of the DE promotes EPSE through the upgrading of human capital structure, industrial structure, and increases in local government fiscal revenue and corporate operating profits; (4) Heterogeneity analysis shows that the impact of DE on EPSE varies significantly across eastern, central, and western China, with positive effects pronounced in the eastern and western regions; (5) Regression results of the threshold effect indicate a significant single threshold effect on the impact of DE development level on EPSE. Specifically, when the threshold value is less than 0.1232, DE significantly contributes to the improvement of EPSE. This paper contributes new literature evidence and factual references to the understanding of the causal relationship between DE and EPSE. The findings highlight the importance of considering spatial spillover effects, impact mechanisms, and regional heterogeneity in analyzing the relationship between DE and EPSE. The research also suggests that promoting the development of the digital economy could be a viable strategy to enhance EPSE, especially in regions where the threshold value is below 0.1232

The spatial impact of a Western diet in enriching Galectin-1-regulated Rho, ECM, and SASP signaling in a novel MASH-HCC mouse model

BackgroundHepatocellular carcinoma (HCC) arising from metabolic dysfunction-associated steatohepatitis (MASH) presents a significant clinical challenge, particularly given the prevalence of the Western diet (WD). The influence of diet on the tumor microenvironment remains poorly understood. Galectin-1 (Gal-1) is a biomarker for HCC and has a crucial role in liver carcinogenesis. Our previous studies demonstrated that silencing Gal-1 effectively treats mouse HCC. However, the impacts of a WD on Gal-1 signaling on MASH to HCC progression are unknown, and this study addresses these knowledge gaps.MethodsWe developed a novel MASH-HCC mouse model. Using spatial transcriptomics and multiplex immunohistochemistry (IHC), we studied the effects of a WD on the liver and tumor microenvironment. By modulating Gal-1 expression through silencing and overexpression, we explored the location-specific impacts of WD on Gal-1 signaling.ResultsPathways such as Rho signaling, extracellular matrix (ECM) remodeling, and senescence-associated secretory phenotypes (SASP) were prominently activated in WD-induced metabolic dysfunction-associated fatty liver disease (MAFLD) and MASH-HCC, compared to healthy livers controls. Furthermore, Rho GTPase effectors, ECM remodeling, neutrophil degranulation, cellular stress, and cell cycle pathways were consistently enriched in human and mouse MASH-HCC. Spatially, these pathways were enriched in the tumor and tumor margins of mouse MASH-HCC. Additionally, there was a notable increase in CD11c and PD-L1-positive cells from non-tumor tissues to the tumor margin and inside the tumor of MASH-HCC, suggesting compromised immune surveillance due to WD intake. Moreover, MASH-HCC exhibited significant Gal-1 induction in N-Cadherin-positive cells, indicating enhanced epithelial-to-mesenchymal transition (EMT). Modulating Gal-1 expression in MASH-HCC further established its specific roles in regulating Rho signaling and SASP in the tumor margin and non-tumor tissues in MASH-HCC.ConclusionWD intake significantly influences vital cellular processes involved in Gal-1-mediated signaling, including Rho signaling and ECM remodeling, in the tumor microenvironment, thereby contributing to the development of MASH-HCC.

Scintillator-SiPM detector for tracking and energy deposition measurements

An innovative particle detector that offers a compelling combination of cost-effectiveness and high accuracy is introduced. The detector features plastic scintillators paired with a sparse arrangement of SiPMs, strategically positioned within a unique opto-mechanical framework. This configuration delivers precise measurements of spatial impact position and energy deposition of impinging particles. The manuscript describes the detector’s physical model complemented by an analytical representation. These calculations underpin a numerical algorithm, facilitating the estimation of particle impingement position and energy deposition. The results of the numerical calculations are compared with the output of GEANT4 simulations and evaluated by rigorous laboratory testing. An array of these detectors, intended for deployment in a spaceborne experiment, underwent detailed design, manufacturing, and testing. Their performance and alignment with the physical model were validated through meticulously conducted ground-based laboratory experiments, conclusively affirming the detector’s properties.

Green finance and land ecological security: A potential mechanism for sustainable development

With growing global concern for environmental issues, green finance (GF) has emerged as a key tool for promoting sustainable development. However, research on its impact on land ecological security (LES) is limited. This study explores the spatial and non-linear effects of GF on LES, focusing on the roles of agricultural e-commerce (AEC) and agricultural industry agglomeration (AIA). Our findings reveal significant first, spatial auto-correlation in LES and an inverted U-shaped pattern in the spatial impact of GF. Second, AEC enhances this inverted U-shaped relationship, shifting the knee point leftward and resulting in a higher marginal effect of GF on LES. Conversely, AIA weakens the relationship, shifting the knee point rightward and potentially flipping the pattern. Additionally, heterogeneity researches results indicate that this spatial effect exists only in primary grain distribution areas, and not in primary grain producing areas or grain production and distribution balanced areas. Robustness tests, including instrumental variables and alternative core explanatory variables, confirm the credibility of these results. This research offers targeted policy recommendations for the GF-LES relationship.

Decoding Socio-Economic Demographic Trends: The Power of Spatial Econometrics and Geographic Analysis

Greece is experiencing a steady population decline caused by the declining migratory and natural balance. This research investigates the spatial impact of socio-economic and demographic factors on the natural population balance in Greece for the spatial zoning of municipal administrative units. Using geographically weighted regression (GWR) on data from the 2011 Greek census, the research explores the local impacts of factors like housing repair permits, vacant housing, employment rates, population inflows, distance from regional centers, aging, gender ratios, and education levels. An initial ordinary least squares (OLS) regression was conducted, revealing significant spatial variation and emphasizing the necessity of spatial econometric methods. The GWR model proved to be more effective in accounting for the variance in the data, removing spatial autocorrelation and revealing high local variation. Results show the high negative impact of the aging index in Western Greece and the Ionian islands, the counterintuitive positive effect of the gender ratio in urban areas, and the positive influence of population inflows in high-migration regions like Northern Greece and Crete. The results of this study underline the need to utilize spatial econometric methods for a precise and detailed understanding of demographic trends and provide valuable insights for localized strategies to address demographic challenges.

Turning the Faroes Into One City. Demographic and Spatial Impacts of 60 Years of Transport Infrastructure Expansion.

Turning the Faroes Into One City. Demographic and Spatial Impacts of 60 Years of Transport Infrastructure Expansion.