GeoScape最新文献

{"title":"Corporate social responsibility of small- to medium-size enterprises as a solution to out-migration: an example from the hospitality sector","authors":"Petra Jarkovská, Martina Jarkovská","doi":"10.2478/geosc-2021-0004","DOIUrl":"https://doi.org/10.2478/geosc-2021-0004","url":null,"abstract":"Abstract Local and regional authorities are often held responsible for implementing social and economic “population drain reduction” policies but at the same time are constrained with little fiscal power and inability to access resources. Being considered the “backbone” of local economies, it is on small- to medium-size enterprises (SMSEs) to come up with an “out-migration” solution which would be effective; yet at the same time sustainable, and adding social value to the local or regional development. Therefore, using a sample of 24 SMSEs from the hospitality industry environment, this paper empirically examines corporate social responsibility (CSR) as a prerequisite for employees’ affirmative work attitudes, such as job satisfaction (JS), effective organizational commitment (OC), and employees’ voluntary retention (R). Inspired by Carroll’s (2015, 2016) four-dimensional concept of CSR (economic, legal, ethical, and philanthropic dimension), the findings suggest a significant causal relationship between CSR and the examined employees’ desirable behavior outcomes. However, it is mainly the ethical and legal dimension of CSR that influence all three employees’ affirmative work attitudes - JS, effective OC, and voluntary R. The contribution of this paper also lies in amounting to the body of scholarly literature on CSR in respect to employees. Most works focus on other stakeholders but employees, or are set in different cultural settings or geographical regions, mainly in Asia, and thus their findings might be difficult to implement in the Central European context. Highlights for public administration, management and planning: • CSR as a prerequisite for sustainable management of employees’ retention in small-to medium- size enterprises. • CSR may act as an approach to reduce “out-migration” faced in local and regional development. • SMSEs adding a social value to local and regional development.","PeriodicalId":42291,"journal":{"name":"GeoScape","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46106789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of land-use land cover dynamics on runoff in Panchnoi River basin, North East India","authors":"M. Jaiswal, N. Amin","doi":"10.2478/geosc-2021-0002","DOIUrl":"https://doi.org/10.2478/geosc-2021-0002","url":null,"abstract":"Abstract Alteration of land-use land cover pattern causes severe consequences on the hydrological system by modifying the rainfall-runoff pattern in a region. The study aimed to investigate the impact of land-use land-cover dynamics on runoff generation in different geomorphic divisions of Panchnoi River basin. The study used the Soil Conservation Service-Curve Number method to estimate runoff generation in the Panchnoi River basin in a GIS platform. This study observed that the conversion of the land-use pattern in the geomorphic zones significantly enhances runoff. The Piedmont experience highest land-use change, where 64.17 km2 forest cover lost to cropland and built-up lands, leads to a notable increase in runoff generation, i.e. from 1 076 mm (52.82% of rainfall) in 1990 to 1 467 mm (70.46% of rainfall) in 2015. The Flood plain and New alluvial plain generates high runoff in the basin as it mostly occupied by human-induced land-uses, i.e. 1 444 mm (72.72% of rainfall) and 1 360 mm (71.70% of rainfall) respectively in 1990, which increase to 1588 mm (79.20%) and 1507 mm (78.69%) runoff respectively in 2015, due to alteration of cropland to built-up lands. In the Old alluvial plain, a marginal land-use change observed resulted in moderate growth in runoff from 1 272 mm (62.35%) to 1 404 mm (66.79%). The study indicates land-use land-cover change invokes to increase runoff generation can give rise severe environmental and economic problems in the river basin, through the occurrence of flashflood and soil erosion. Highlights for public administration, management and planning: • Evaluation of the impact of land-use land cover dynamics on runoff is essential for containing flash flood and water resource management on a basin scale. • Alteration of natural land covers has severe implications in the form of flood, soil erosion, and loss of biodiversity. • Enhanced runoff due to land-use dynamics reduces groundwater recharge rate that may cause drinking water scarcity in the dry season shortly.","PeriodicalId":42291,"journal":{"name":"GeoScape","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44494080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Moving Across Borders: Brain or brain gain? A comparative in Czechia and Germany","authors":"Alice Reissová, Jana Šimsová, R. Sonntag","doi":"10.2478/geosc-2021-0003","DOIUrl":"https://doi.org/10.2478/geosc-2021-0003","url":null,"abstract":"Abstract The continuous drain of young university graduates leaving the country poses the threat of considerable loss, both economic and social. On the other hand, temporary labour migration can bring positive effects (experience, foreign know how). The objective of the article was to identify the attitude of German and Czech university undergraduates to labour migration and to explore the motivation factors that play a role in their decision-making. The research sample consisted of students of economics who study at regional universities in North Bohemia and neighbouring German Saxony. It was established that German students declare a greater interest in working abroad, but they tend to prefer temporary labour migration, while Czech students think more about permanently moving abroad, provided they are considering leaving for another country. Logistic forward stepwise regression was selected to establish significant explaining variables. Surprisingly, “higher salary” did not figure in the created models as an explaining variable in a single case. The amount of salary is an important motivation factor (both for Czech and German students), however, it is not the main factor which influences their decision to go abroad. The explaining variables “I want to live in a different country” and “the opportunity to gain international work experience” were shown in both cases. Governments as well as regional authorities should pay attention to the reasons why qualified workers decide on labour migration and they should pay due care to establishing why qualified workers want to live in a different country. Temporary labour migration should be encouraged and, at the same time, such conditions should be created to motivate highly qualified workers to return home. Highlights for public administration, management and planning: • The departure of young people with a university degree abroad represents considerable not only economic but also social losses. • Temporary labour migration, however, can bring positive effects (experience, foreign know-how). German students declare interest in temporary labour migration, while Czech students prefer permanent migration. • The salary is an important motivational factor (for both Czech and German students), but it is not the main factor that influences the decision to move abroad. • Governments, as well as regional authorities, should pay attention to the reasons that lead qualified workers to decide for labour migration and to look closely at answers to why young people want to live in another country. • Temporary labour migration should be supported by both government and regional authorities. In contrast, conditions should be created to eliminate permanent labour migration.","PeriodicalId":42291,"journal":{"name":"GeoScape","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42066888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping the morphology of sprawl and blight: A note on entropy","authors":"R. Banai, A. Antipova, E. Momeni","doi":"10.2478/geosc-2021-0001","DOIUrl":"https://doi.org/10.2478/geosc-2021-0001","url":null,"abstract":"Abstract The urban expansion from the city center to the suburb and beyond is indicated by Shannon entropy, a robust and versatile measure of sprawl. However, the metropolitan regionwide entropy masks the morphology of land cover and land use consequential to urban expansion within the city-region. To surmount the limitation, we focus on the block-group, which is a US census defined socio-spatial unit that identifies the metropolitan region’s development pattern structurally, forming tracts that comprise neighborhoods. The concentration and dispersion of land use and land cover by block-group reveals a North American metropolitan region’s commonly known but rarely measured spatial structure of its urban and suburban sprawl. We use parcel data from county assessor of property (GIS) and land cover pixel data from the National Land Cover Data (NLCD) to compute block-group land-use and land-cover entropy. The change in block group entropy over a decade indicates whether the city- region’s land use and land cover transition to a concentrated or dispersed pattern. Furthermore, we test a hypothesis that blight correlates with sprawl. Blight and sprawl are among the key factors that plague the metropolitan region. We determine the correlations with household income as well as (block group) distance from the city center. It turns out, blight is among the universally held distance-decay phenomena. The share of the block group’s blighted properties decays (nonlinearly) with distance from the city center. Highlights for public administration, management and planning: • The metropolitan region’s outward growth is highlighted by mapping the changing morphology of the block group within the city-region. • The block group entropy is computed with land use (parcel) and land cover (pixel) data. • The block group entropy change indicates the pattern of the land use and land cover transition with concentration or dispersion. • We test the hypothesis that blight correlates with sprawl with statistical models. • The block group’s blighted properties decrease (nonlinearly) with distance from the city center.","PeriodicalId":42291,"journal":{"name":"GeoScape","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46705583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling urban mixed land-use prediction using influence parameters","authors":"P. Ghosh, P. Raval","doi":"10.2478/geosc-2021-0006","DOIUrl":"https://doi.org/10.2478/geosc-2021-0006","url":null,"abstract":"Abstract Mixed land-use is a popular concept in urban planning due to its expected role in improving environmental sustainability as well as citizen’s quality of life. Land use planning and regulations are not stringent in many cities like those in India, and policies are liberal towards mixed land uses. In these cities, mixed land-uses are a natural phenomenon manifesting under various influencing parameters. However, for studies on mixed land-uses, these cities pose data insufficiency challenges, as vital comprehensive spatial information related to land-uses is not available. Moreover, there is no standardised methodology established to assess the spatial distribution of mixed land-uses at the city level. This research has developed a GIS-based model using Weighted Overlay Analysis to predict and visualise the probability of mixed land-use at the macro or city level for the case of Pune, India. The model uses the easily available spatial data of influencing parameters of mixed land-use as input for prediction instead of comprehensive real land-use data. The model is validated by comparing the predicted mixed land-use intensities with established indicators of mixed land-use for four neighbourhoods. It is found that parameters that influence mixed land-use such as connectivity, grain pattern, population density and access to amenities can be used to predict the probability of mixed land-use. Around 35 per cent of the city area of Pune has more than 0.67 probability of mixed land-use. The model can produce the probable mixed land-use distribution across the city and can be used to compute mixed land-use intensities for neighbourhoods. Highlights for public administration, management and planning: • Mixed land-use probability distribution for Pune City, India is generated using Weighted Overlay Analysis in GIS. • As vital spatial data of land-use was unavailable, the prediction model uses data of influencing parameters of mixed land-uses such as population density, connectivity, grain pattern and access to amenities. • The mixed land-use probabilities predicted can be used to compute mixed land-use intensities of neighbourhoods. It is validated by comparing with traditional mixed land-use indicators.","PeriodicalId":42291,"journal":{"name":"GeoScape","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44117490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Demographic and socio-economic factors influencing health inequalities in the Czech Republic","authors":"D. Hübelová, P. Ptáček, Tereza Šlechtová","doi":"10.2478/geosc-2021-0005","DOIUrl":"https://doi.org/10.2478/geosc-2021-0005","url":null,"abstract":"Abstract Health inequalities, which could be prevented by appropriate means in various areas, are generally perceived as a consequence of injustice in the society and are mostly the result of inequalities in social determinants. The main goal of this article is to determine health inequalities defined by demographic and socio-economic factors at the level of districts of the Czech Republic in the period 2007–2018(due to the specific differences in data, the Capital City of Prague region was not included). The following statistical methods were used to process the data: correlation analysis, principal component analysis, composite indicator, cluster analysis and multidimensional factor analysis. The value of the composite indicator shows a very favorable situation in the districts of Praha-východ and Praha-západ (especially high proportion of university students, low unemployment, age index, infant mortality, abortion rate and housing subsidies), and the unfavourable situation in the districts of Chomutov, Teplice and Most (especially high housing and unemployment subsidies, low rate of university students, negative migration balance, high rates of infant mortality and abortion). The results specify regional disparities of demographic and socio-economic indicators that can cause health inequalities: negative regional disparities (Most, Teplice, Děčín, Bruntál, Karviná, Ostrava-město and Jeseník districts) and positive regional disparities (Praha-západ, Praha-východ, Mladá Boleslav, Jihlava and Brno-venkov). The study presents the results of analyses based on the example of smaller territorial units (districts) and confirms the existence of regional disparities in accordance with research at the national and international level. Highlights for public administration, management and planning: • Demographic factors are connected to socio-economic environmental factors (poverty, education, social exclusion, unemployment, social security, family situation etc.) that lead to regional health inequalities. • The regional disparities of selected demographic and socio-economic indicators of the districts of the Czech Republic that cause health inequalities were specified.","PeriodicalId":42291,"journal":{"name":"GeoScape","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43092846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Primary drug-related crime in the Czech Republic from a geographical perspective: study of urban, suburban and rural differences","authors":"Benjamin Petruželka, M. Barták","doi":"10.2478/GEOSC-2020-0012","DOIUrl":"https://doi.org/10.2478/GEOSC-2020-0012","url":null,"abstract":"\u0000 Illicit drug use and drug-related crime constitute a significant issue and create large economic and societal costs both at national and regional level. The aim of this article is to examine the differences in primary drug-related crime between urban, suburban and rural local police departments in Czechia. The primary drug-related crime rate in local police departments was constructed from the data collected in the national crime database and the geographical classification of these departments was taken from previous research. To analyze the differences among urban, suburban and rural departments, we used the general linear model. The models with measures that were not standardized for the number of inhabitants were all significant, while not all the models with standardized measures were significant. Overall primary drug-related crime, unauthorized production and other handling of illicit drugs and possession of illicit drugs models with standardized measures showed no significant differences between departments. The cultivation of plants model with standardized measure shows an increase in the predicted values of independent variables in suburban and rural departments compared to urban departments. Our research results show that local urban police departments are not related to higher rates of standardized primary drug-related crime, although there are differences in specific drug law offences. It suggests that drug-related issues are prevalent in all types of departments, however, the specific issues differ between them. Conclusions: The research showed that standardized primary drug-related crime rate in urban departments is not higher than in suburban or rural local police departments.","PeriodicalId":42291,"journal":{"name":"GeoScape","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47286600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Story of a Street – (mis)tackling social exclusion in public policy","authors":"Tereza Grosse, Peter Brnula, J. Laštovková, Jan Vašat, Alexandra Petrů","doi":"10.2478/GEOSC-2020-0013","DOIUrl":"https://doi.org/10.2478/GEOSC-2020-0013","url":null,"abstract":"\u0000 Spatial exclusion as a result of social exclusion is a complex problem that hinders the development of territories and undermines social cohesion in society. These are issues that need to be addressed at a local level through cooperation between the various influential bodies (public administration, politicians, citizens, social workers, the media among others). This article examines social exclusion based on an internationally recognised case that occurred in the Czech Republic 10 years after the 1989 democratic revolution. The starting point for this article is 1999, when a chain of decisions made by public administration resulted in the emerging spatial segregation in Matiční Street in the region′s capital Ústí nad Labem. The article is based on semi-structured oral history interviews with social participants. It identifies barriers for the successful resolution of issues at that time on the basis of the Pierson theory of social exclusion (2010) as the insufficient use of local participation and networks and their abuse for political and media purposes. Using the lens of social actors, it is looking for important milestones and lessons learned for the future development in public policies.","PeriodicalId":42291,"journal":{"name":"GeoScape","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42815799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modern transformation of deserted settlements in the Sudetes Mountains, SW Poland","authors":"A. Latocha","doi":"10.2478/GEOSC-2020-0008","DOIUrl":"https://doi.org/10.2478/GEOSC-2020-0008","url":null,"abstract":"\u0000 The aim of the study was to present and to classify current processes and phenomena which are observed within the depopulated villages in the Kłodzko region in SW Poland, to assess the present conditions, functions and meanings of deserted settlements, and to forecast their potential further transformations. The study was based on diverse cartographic sources, field investigations, inventories and interviews, historical documents and current spatial development plans. The current processes and phenomena occurring in the highly depopulated or deserted villages are spatially very diverse in terms of their types and dynamics. They include: afforestation (re-wilding), return to agricultural use (limitation of the secondary succession), new houses or the renovation of the old ones, partial restoration of the sacral landscape, large-scale tourist infrastructure and educational initiatives (educational trails, eco-museums, information boards). However, some areas remain forgotten and neglected. These processes often co-occur with each other and they may be diverse in different parts of the village. In the current transformations of the abandoned areas the main focus is on local economy or nature protection while the cultural landscape of the deserted villages is hardly appreciated as an important value itself. The potential future transformations of the depopulated areas will be multidirectional with the tendency to polarization. Some areas will be subject to an increased human pressure, especially due to the new developments in housing and large-scale tourist infrastructure, the other areas will remain out of the way allowing for using their potential as “archives” of traditional cultural landscapes.","PeriodicalId":42291,"journal":{"name":"GeoScape","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45308006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drought vulnerability of Marathwada region, India: A spatial analysis","authors":"Sagar Khetwani, Ram B. Singh","doi":"10.2478/GEOSC-2020-0010","DOIUrl":"https://doi.org/10.2478/GEOSC-2020-0010","url":null,"abstract":"\u0000 The magnitude and frequency of severe and extreme drought events continue to grow, instigating a grave risk to human wellbeing. Marathwada region of India is one of the most chronically drought affected region of India. The sequential drought events between the years 2012 to 2016 acutely impacted the natural as well as socio-economic resources of the region. This study attempts to assess the drought vulnerability of Marathwada region at sub-district level. An integrated drought vulnerability index has been developed by blending biophysical and socio-economic indicators of drought vulnerability. The analysis revealed that sub-districts like Shirur-Anantpal, Deoni, Shirur Kasar, Dharur, Biloli, Paranda, Mukhed, Khuldabad, Patoda, Hadgaon, Palam, Badnapur and Kaij, emerged as the very highly vulnerable to drought, representing 14.43% of geographical area and 10.96% of population of Marathwada while the sub-districts lying under the category of high drought vulnerability represented 39.15% of geographical area and 34.69% of population.","PeriodicalId":42291,"journal":{"name":"GeoScape","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44546900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}