{"title":"Spatial Analysis of Educational Inequalities and Evaluation of its Affecting Factors: the Period of Before and During the COVID-19 Epidemic in Iran","authors":"Reza Kheyroddin, Mehran Alalhesabi, Fariba Maleki","doi":"10.1007/s12061-024-09567-w","DOIUrl":"10.1007/s12061-024-09567-w","url":null,"abstract":"<div><p>Different regions of Iran have suffered for a long time from spatial inequalities because of the shortage of infrastructure and educational services. Educational activities play an important role in social and economic mobility and development of regions. The closing of educational centers due to the spread of the Covid-19 epidemic affects the spatial and social inequalities of the regions in Iran. The current study aims to examine spatial inequality of educational indicators during two periods: “before” the outbreak of Covid-19 (2018) and “during” its outbreak (2021). Then the provinces of Iran are stratified in terms of educational indicators by using the combined method of TOPSIS and Shannon's entropy, cluster analysis in Spss and using ArcGis. The most important factors of educational inequality during the Covid19 period were found by using Pearson's correlation coefficient and multivariate regression. The results showed that in the pre-Covid period, the distance between the most privileged province (Bushehr) and the most deprived province (Tehran) was 4.5. This amount has increased to 5.5 during the period of Covid-19, which shows the increase of inequalities due to the conditions of Covid-19. Further investigation of the results shows that the inequality of educational indicators among the provinces of the country has a clear relationship with the changes in population movements in different regions of Iran. On the other hand, due to the digital education without need for educational space in the conditions of Covid-19, the importance of the existence of physical infrastructure has been reduced. And two key variables as population density and internet penetration rate play an important role in the provinces’ educational indicators during the period of covid-19. These results could help the spatial planning to reduce inequalities in different regions of the country.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 3","pages":"891 - 921"},"PeriodicalIF":2.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139926960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Neighbourhood Health Inequalities between Ethnic Groups in England: An Application of Ecological Inference","authors":"Peter Congdon","doi":"10.1007/s12061-024-09570-1","DOIUrl":"10.1007/s12061-024-09570-1","url":null,"abstract":"<div><p>Ecological inference has had primarily political science applications, but this study considers an application to assess variations in neighbourhood mental health between population sub-groups. The methodology used has particular utility when neighbourhood health data are available only in aggregate form, without disaggregation (e.g. by ethnic or socioeconomic group). The ecological inference approach is shown to provide insights into contextual effects, where neighbourhood features influence disease variations between sub-groups (e.g. the ethnic density effect on psychosis among non-white groups). The present study also highlights important issues raised by the data’s geographic framework, namely strong spatial clustering in the outcome, and compares spatial error and spatial lag methods to represent this spatial patterning appropriately. The study considers neighbourhood variations in psychosis between four ethnic groups, with a spatial framework provided by 32,844 small areas (Lower Super Output Areas, LSOAs) in England.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 2","pages":"847 - 866"},"PeriodicalIF":2.0,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-024-09570-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139767154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spatio-Temporal Variations and Determinants of Residents’ Leisure Participation in China","authors":"Xia Wang, Yihan Yan, Jiamin Hu","doi":"10.1007/s12061-024-09565-y","DOIUrl":"10.1007/s12061-024-09565-y","url":null,"abstract":"<div><p>Despite the importance of leisure on life quality, limited research has investigated the spatial and temporal changes and constraining factors of residents’ leisure participation in developing countries. Based on nationwide data from China General Social Survey (<i>N</i> = 40,908), this study used a fuzzy set approach and global spatial autocorrelation to analyse the spatial variations of residents’ leisure participation index (RLPI) in China from 2010 to 2017. Then, the determinants of spatial differentiation of RLPI were discussed based on the Geodetector method. Results show that (1) traditional media activities have always been the primary leisure activity for residents, whereas online leisure has the fastest growth during the research period. (2) The RLPI in China presents the geographical characteristics of ‘high in the east, medium in the middle and northwest, and low in the southwest’. (3) Family conditions are the most influential factor of RLPI spatial disparities, followed by leisure facilities, economic development, leisure time, and transportation. The findings provide insights into the understanding of regional disparity of leisure participation and shed light on improving leisure engagement in developing countries.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 2","pages":"823 - 846"},"PeriodicalIF":2.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139961516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Green Investment, Financial Efficiency, and Sustainable Development: Dual Perspectives of Enterprise Cost and Government Guidance","authors":"Lijuan Zhao, Tianqi Zhu, Junhong Shi, Xiaohong Kang, Haonan Chen","doi":"10.1007/s12061-024-09568-9","DOIUrl":"10.1007/s12061-024-09568-9","url":null,"abstract":"<div><p>This study highlights the importance of green investment in achieving the goal of sustainability. Several studies have been conducted to explore the factors affecting sustainable development. However, research on the importance of green investment in achieving sustainable development from the perspective of enterprise cost and government guidance is scant, and the moderating effect of financial efficiency has not been considered. Thus, this study is based on the social and economic data of 31 provinces in China from 2009 to 2021; it evaluates the level of sustainable development of each province and combines green investment, financial efficiency, and sustainable development into the research framework from the dual perspectives of government and enterprises to explore the relationship among the three, which can result in efficient and balanced sustainable development. The results show the following: (1) government green investment has a “U-shaped” spillover effect on sustainable development; (2) corporate green investment has an inverted U-shaped nonlinear effect on sustainable development; and (3) under the adjustment of financial efficiency, government green investment has a “two-stage” promoting effect on sustainable development, and corporate green investment has an inverted U-shaped nonlinear effect on sustainable development. Based on these findings, an increase the amount of government green investment can ensure the sustainable amount of corporate green investment and promote coordinated financial and economic development.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 2","pages":"799 - 821"},"PeriodicalIF":2.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-024-09568-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139798840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A QGIS Plugin for GIS-based Multicriteria Decision Analysis: an Application of Developing Alternative Future Land-Use Scenarios in Ghana","authors":"Changjie Chen, Ziyi Guo, Jasmeet Judge","doi":"10.1007/s12061-024-09566-x","DOIUrl":"10.1007/s12061-024-09566-x","url":null,"abstract":"<div><p>In many West African countries, ongoing rapid urbanization urges reliable and proactive land use plans for sustainability purposes, which hinges on a complete assessment of land suitability. GIS-based multi-criteria decision analysis (GIS-MCDA) is one of the most widely applied techniques in land-use suitability analysis. It is pivotal that planners and analysts in the developing world have adequate support in conducting such analysis. To lower the financial and technological barriers, a new free and open-source software (FOSS) for GIS-MCDA is developed, called PyLUSATQ. It is designed as a QGIS plugin following a tight-coupling integration strategy, where analytic tools for GIS-based suitability analysis and MCDA are interconnected and seamlessly integrated into QGIS’s processing framework. With this implementation, users can create customized models with the PyLUSATQ tools using QGIS’s Graphical Modeler to automate the workflow for suitability analysis. PyLUSATQ is the first of its kind amongst all plugins published on the QGIS Python Plugin Repository, offering a range of tools for GIS-MCDA within the context of land use planning. To demonstrate its practical application, we created two 2050 future land-use scenarios in the Ashanti Region of Ghana. The first scenario depicts a “business-as-usual” model, whereas the second shows an “alternative” scenario if a higher development density was adopted. Comparisons of such scenarios provide evidential support for making informed decisions on land-use policies. Additionally, the methodology introduced here is easily replicable for developing new QGIS plugins based on third-party Python libraries.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 2","pages":"779 - 797"},"PeriodicalIF":2.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139810333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhixin Feng, Bin Wang, Yuting Dai, Wei Zhu, Rui Dong
{"title":"Fertility Intention for Two or More Children among Childbearing-Age Adults under China’s Changing Fertility Policies and Economic Development from 2010 to 2021","authors":"Zhixin Feng, Bin Wang, Yuting Dai, Wei Zhu, Rui Dong","doi":"10.1007/s12061-024-09564-z","DOIUrl":"10.1007/s12061-024-09564-z","url":null,"abstract":"<div><p>China has been experiencing below-replacement fertility rates for decades prompting concerns about the rapid aging of the population and a dwindling labour supply. This paper examines the effects of micro-level and macro-level factors on fertility intentions in China from 2010 to 2021. The analyses utilize repeated cross-sectional data from the nationally representative Chinese General Social Survey, focusing on adults of childbearing age. A multilevel logistic regression approach is employed. The findings indicate that economic status, at both the individual and provincial levels, significantly shapes individuals’ intentions regarding having two or more children. Those with higher individual economic status are more inclined to have multiple children, while individuals residing in provinces with higher mean incomes are less likely to have two or more children compared to those in provinces with lower mean incomes. Notably, the long-term impact of the one-child policy on intentions to have two or more children is particularly pronounced for urban residents and individuals from provinces that rigorously implemented the one-child policy. Additionally, the study identifies spatial differentiation in fertility intentions.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 2","pages":"753 - 777"},"PeriodicalIF":2.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139606365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Measuring the Accessibility and Capacity Sufficiency of Private and Public Health Centers in the Istanbul Metropolitan Area","authors":"Vaghar Bahojb Ghodsi, Fatih Terzi","doi":"10.1007/s12061-023-09558-3","DOIUrl":"10.1007/s12061-023-09558-3","url":null,"abstract":"<div><p>The study of access to health centers is gaining global attention due to it is critical role in ensuring equitable and easily accessible healthcare services for all citizens, leading to long-term social equity and an improved quality of life. This paper aims to assess the efficiency of healthcare facility locations in Istanbul from two perspectives: accessibility of healthcare facilities and sufficiency of healthcare capacity. The analysis of accessibility considers the geographic locations of health services, the road network, and traffic conditions, particularly during two peak travel times in Istanbul. The evaluation of healthcare capacity utilizes the ratio of the number of beds to the population in each district. According to the findings, while the majority of the population has reasonable access to the nearest hospital, there exists a significant disparity in hospital location and bed availability in Istanbul. This indicates notable challenges in achieving a balanced distribution of hospitals based on their bed capacity. Addressing this imbalance is crucial in selecting suitable locations for new health facilities. To enhance the accessibility and effectiveness of public and private hospitals, decisions regarding site selection should aim to mutually support one another. Additionally, it is recommended to plan new healthcare facilities based on the population and density distribution of the city to increase public interest and optimize the efficiency of health services.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 2","pages":"729 - 752"},"PeriodicalIF":2.0,"publicationDate":"2024-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139461626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Multilevel Spatial Model to Investigate Voting Behaviour in the 2019 UK General Election","authors":"Kevin Horan, Chris Brunsdon, Katarina Domijan","doi":"10.1007/s12061-023-09563-6","DOIUrl":"10.1007/s12061-023-09563-6","url":null,"abstract":"<div><p>This paper presents a modelling framework which can detect the simultaneous presence of two different types of spatial process. The first is the variation from a global mean resulting from a geographical unit’s ‘<i>vertical</i>’ position within a nested hierarchical structure such as the county and region where it is situated. The second is the variation at the smaller scale of individual units due to the ‘<i>horizontal</i>’ influence of nearby locations. The former is captured using a multi-level modelling structure while the latter is accounted for by an autoregressive component at the lowest level of the hierarchy. Such a model not only estimates spatially-varying parameters according to geographical scale, but also the relative contribution of each process to the overall spatial variation. As a demonstration, the study considers the association of a selection of socio-economic attributes with voting behaviour in the 2019 UK general election. It finds evidence of the presence of both types of spatial effects, and describes how they suggest different associations between census profile and voting behaviour in different parts of England and Wales.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 2","pages":"703 - 727"},"PeriodicalIF":2.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-023-09563-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139423781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spatial Visualization: Community-Level Effects of Sport Industry on Community Resilience","authors":"Jinwon Kim, Changwook Kim","doi":"10.1007/s12061-023-09560-9","DOIUrl":"10.1007/s12061-023-09560-9","url":null,"abstract":"<p>The heightened occurrence and escalation of both natural and human-induced hazards, such as hurricanes, floods, and industrial accidents, have had adverse impacts on community health, well-being, and sustainability. Enhancing community resilience to the hazards is one of the top priorities for researchers and policymakers. The sport industry is a potential economic driver, generating significant tangible and intangible community benefits in region-based resilience development. Despite the community benefits of the sport industry at the community level, there has been limited research that visualized the community-level effects of sport industry on community resilience. This study aims to investigate how the sport industry impacts community resilience in a spatially heterogeneous manner. To achieve the purpose, a geographically weighted regression (GWR) was utilized for conducting spatial regression analysis on a dataset related to community resilience at the county level. The analysis also examined the clustering of 16 distinct sport industries within 67 counties in Florida. The findings of the study suggest that the concentration of 10 sport industries exhibited either a positive or negative correlation with community resilience. Furthermore, these relationships were spatially heterogeneous. Such findings can help sport researchers and community sport policymakers establish localized community sport development policies within regional sport industry sectors.</p>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 2","pages":"681 - 701"},"PeriodicalIF":2.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139421135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rui Zhang, Arika Ligmann-Zielinska, Mark Axelrod, Semra A. Aytur
{"title":"Design and Use of a Spatial Harmful Algal Bloom Vulnerability Index for Informing Environmental Policy and Advancing Environmental Justice","authors":"Rui Zhang, Arika Ligmann-Zielinska, Mark Axelrod, Semra A. Aytur","doi":"10.1007/s12061-023-09559-2","DOIUrl":"10.1007/s12061-023-09559-2","url":null,"abstract":"<div><p>In recent decades, harmful algal blooms (HABs) have increased significantly in Lake Erie. The blooms can affect human health, aquatic ecosystems, and the local economy. The effects can vary across communities in the Lake Erie Basin due to local socioeconomic status and dependence on lake resources. Therefore, it is crucial to identify HAB-vulnerable populations and regions to adjust regional governance strategies and allocate resources for government support. This study introduces a 5-theme spatial HAB vulnerability index (HAB-VI) comprised of socioeconomic, resource dependence, and spatial factors affecting vulnerability to HAB events. Using a multi-factor hierarchical model, it also applies the index to evaluate the HAB-related vulnerabilities of 50 counties in the Lake Erie Basin. Uncertainty analysis is an essential step to assess the robustness of the model and the stability of the calculated indices. The research utilizes a Monte Carlo-based uncertainty analysis and visualizes the statistical results of the simulation runs to indicate the variability and reliability of the HAB-VI rankings. Comparing thematic maps of the generated HAB-VI rankings, indicators of local governance strength, and nonpoint nutrient loads provides further insights into prioritizing the regions for government support and building community resilience.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 2","pages":"651 - 680"},"PeriodicalIF":2.0,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-023-09559-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139413784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}