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ISSN (Print) 1802-1115 - ISSN (Online) 1802-1115
Published by Sciendo Homepage  [389 journals]
  • Vehicle detection using panchromatic high-resolution satellite images as a
           support for urban planning. Case study of Prague’s centre

    • Abstract: The optical sensors on satellites nowadays provide images covering large areas with a resolution better than 1 meter and with a frequency of more than once a week. This opens up new opportunities to utilize satellite-based information such as periodic monitoring of transport flows and parked vehicles for better transport, urban planning and decision making. Current vehicle detection methods face issues in selection of training data, utilization of augmented data, multivariate classification or complexity of the hardware. The pilot area is located in Prague in the surroundings of the Old Town Square. The WorldView3 panchromatic image with the best available spatial resolution was processed in ENVI, CATALYST Pro and ArcGIS Pro using SVM, KNN, PCA, RT and Faster R-CNN methods. Vehicle detection was relatively successful, above all in open public places with neither shade nor vegetation. The best overall performance was provided by SVM in ENVI, for which the achieved F1 score was 74%. The PCA method provided the worst results with an F1 score of 33%. The other methods achieved F1 scores ranging from 61 to 68%. Although vehicle detection using artificial intelligence on panchromatic images is more challenging than on multispectral images, it shows promising results. The following findings contribute to better design of object-based detection of vehicles in an urban environment and applications of data augmentation.
      PubDate: Thu, 05 Jan 2023 00:00:00 GMT
  • Using open data to reveal factors of urban susceptibility to natural
           hazards and man-made hazards: case of Milan and Sofia

    • Abstract: Multi-hazard mapping in urban areas is relevant for preventing and mitigating the impact of nature- and human-induced disasters while being a challenging task as different competencies have to be put together. Artificial intelligence models are being increasingly exploited for single-hazard susceptibility mapping, from which multi-hazard maps are ultimately derived. Despite the remarkable performance of these models, their application requires the identification of a list of conditioning factors as well as the collection of relevant data and historical inventories, which may be non-trivial tasks. The objective of this study is twofold. First, based on a review of recent publications, it identifies conditioning factors to be used as an input to machine and deep learning techniques for singlehazard susceptibility mapping. Second, it investigates open datasets describing those factors for two European cities, namely Milan (Italy) and Sofia (Bulgaria) by exploiting local authorities’ databases. Identification of the conditioning factors was carried out through the review of recent publications aiming at hazard mapping with artificial intelligence models. Two indicators were conceived to define the relevance of each factor. A first research result consists of a relevance-sorted list of conditioning factors per hazard as well as a set of open and free access data describing several factors for Milan and Sofia. Based on data availability, a feasibility analysis was carried out to investigate the possibility to model hazard susceptibility for the two case studies as well as for the limit case of a city with no local data available. Results show major differences between Milan and Sofia while pointing out Copernicus services’ datasets as a valuable resource for susceptibility mapping in case of limited local data availability. Achieved outcomes have to be intended as preliminary results, as further details shall be disclosed after the discussion with domain experts.
      PubDate: Thu, 05 Jan 2023 00:00:00 GMT
  • The Neighborhood Impact of Industrial Blight: A Path Analysis

    • Abstract: Historically, industry shaped the space-economy of the American city, a major source of employment opportunity for residents that selected housing nearby or within a convenient or affordable commuting distance. However, the contemporary American city is structurally characterized by abandoned, blighted, vacant industrial properties due to urban expansion, deindustrialization and the suburbanization of both jobs and population. The urban studies literature rarely documents the neighborhood impact of industrial blight akin to studies of residential blight. We determine the proximity-effect of industrial blight on the neighborhood thought of not as an isolated and closed entity, but as a connected and open entity within the city and the region. Unlike studies confined to the property value impact, we determine Pearson correlations of industrial blight and vacancy expansively with the socio-economic and physical characteristics of neighborhoods. We use path analysis to determine direct, indirect, and total neighborhood impact of industrial blight and vacancy. The census block group and parcel-level geographic information system (GIS) provide our principal sources of data. The block group geography contains the neighborhood as a fundamental spatial unit. We determine how the neighborhood impact varies with distance from the blighted, vacant industrial property.
      PubDate: Thu, 05 Jan 2023 00:00:00 GMT
  • Spatial distribution of military bases and power of interest groups in an
           emergent democracy

    • Abstract: Policies in liberal democracies can never be fully sheltered from the influence of interest groups. This is especially true for the flawed or immature democracies that can be found also in the post-communist world. In this study, we argue that the progress of democratization in Czechia has been accompanied by a growing influence of interest groups (local/regional governments, political parties, industrial corporations) on national defence strategy. Focusing on the spatial policy of military base distribution, the study documents deviations from a rational strategy of restructuring and relocations of military bases declared by the General Staff in the 1990s, 2000s, and 2010s in response to a changing geopolitical situation. The content analysis of the interviews with former actors of the defence planning and media analysis showed that one-third of current Czech military bases experienced an influence of interested groups.
      PubDate: Thu, 05 Jan 2023 00:00:00 GMT
  • Development of Academic Patenting in European Regions – A Large
           Scale Analysis

    • Abstract: In this article, we analyze academic patenting on an unprecedented scale - for 29 European countries. The comprehensive identification phase captures both groups of academic patents, in and outside of the ownership of universities. With stronger patent rights of universities, the share of university-owned patents is increasing faster. Nevertheless, even today, universities own only one third of their patents while the other two thirds remain in the property of individuals and companies. Universities have recently accounted for 13% of regional patent production and compared to firms their contribution to region’s innovation performance remains small. The share of academic patents is higher in Eastern Europe and in regions where innovative companies are lacking, in capital regions, and in regions with a strong tradition in academic patenting. The contribution of universities to the innovation performance of the most innovative regions is relatively small, although there are large differences, and the size of the contribution can vary significantly for similar levels of patent intensity. Given the effects of university research, it has been known since the 1990s that increasing university spending on research is driving innovation on the part of companies and within the region. However, such an effect is limited to high quality research and is most effective in terms of regional policy in poor regions where innovative companies are lacking. In this paper, instead of research expenditure, university patents filed with the EPO represent university research, as other patents are assumed to be a product of companies. We have found that the latter can be predicted by the volume of academic patents.
      PubDate: Thu, 05 Jan 2023 00:00:00 GMT
  • Effects of Transport Corridor Advancement on Agglomeration and Industrial
           Relocation – Dallas Fort Worth (US) case study

    • Abstract: Cities serve as hubs for various activities that necessitate comprehensive transportation connectivity. This study examines the decadal urban agglomeration patterns from 2001 to 2020 and critically assesses the relationship between freeway developments, industrial relocation, and population density in the DFW (Dallas Fort Worth) metropolitan area. Landsat satellite imageries, US census, and open-source GIS datasets have been utilized in the study. The Maximum Likelihood Classification (MLC) algorithm helped generate the vector database, using which Land Use/Land Cover (LULC) variations were assessed. The calculated overall accuracies of the classified images for 2001, 2011, and 2020 were 93.12%, 91.87%, and 93.12%, respectively. Eventually, buffer generation techniques and summary statistics helped detect potential boom hotspots. Our results indicate that the highway advancement project lures industries, leading to population migration. The LULC variations suggest that the increase in highway infrastructure resulted in a surge in built-up and a decrease in open spaces in District-3 of DFW. From our study, we find that 79.16% of old industries are located near old freeways, while 78.84% of new industries are located near new freeways. Further, our industrial area to road area comparison clearly shows that industrial relocation was driven by transportation advancements over time. Our results also confirm that this relocation of industries fostered a massive population influx during the following decades.
      PubDate: Thu, 05 Jan 2023 00:00:00 GMT
  • Assessment of neighborhood sustainability in terms of urban mobility: A
           case study in Dhaka City, Bangladesh

    • Abstract: For achieving sustainable cities, sustainable mobility is one of the key elements. Policymakers around the world are taking different strategies to ensure sustainable urban mobility at the local level. However, sustainable urban mobility assessment at neighborhoods of a developing country received a significant research gap. This study attempts to close this research gap by deriving and comparing neighborhood sustainability based on three indicators: modal share, travel time, and travel cost, in Dhaka city, Bangladesh. Using a two-step cluster model, neighborhoods were grouped into three clusters. Study results classified 41 (44.6%) neighborhoods as sustainable, 30 (32.6%) as potentially sustainable, and 21 (22.8%) as unsustainable neighborhoods due to less positive outcomes of sustainable mobility policies. Later, median income and jobs-housing ratio value for different neighborhood types validated the classification result. Findings from this study reveal insights for transport planners, development agencies, policymakers to identify areas where mobility of the residents needs to be improved on a priority basis; advocate further research on comprehensive sustainability assessment at the neighborhood level.Highlights for public administration, management and planning:• There is a significant difference in modal share, travel time, and travel cost in neighborhoods.•A traditional neighborhood of the city is comparatively more sustainable than newly developed ones.• Neighborhoods with similar sustainability status tend to be clustered on the city scale.•Median income and jobs-housing ratio can effectively capture the difference in sustainability level in terms of urban mobility.•Sustainable urban mobility assessment can contribute city planning and development process.
      PubDate: Sat, 09 Jul 2022 00:00:00 GMT
  • Moving towards repolarisation' The population trajectories of
           medium-sized towns in Lower Lombardy, Italy (2010‒2020)

    • Abstract: Although medium-sized towns are key components in the polycentric structuring of regional spaces, their evolutionary pathways are less clear than those of cities. This paper considers a set of four medium-sized towns with provincial capital status located in the southern zone of Lombardy, on the fringes of a densely urbanised area dominated by Milan. The population trajectories of these towns and their agglomerations (firstand second-belt municipalities) are investigated in the decade from 2010 to 2020, with a descriptive analysis. The research resulted in three main findings: 1) even in a challenging economic climate, the population trends of the towns considered were affected by proximity to the vibrant Milan metropolitan area; 2) all the towns have gone down the route of reurbanisation, but the suburbanisation process is still ongoing and very intense, especially for the Italian population; 3) there are gaps between cores and belts in terms of population distribution by age group and land take intensity, resulting in differing drives for population concentration or deconcentration.Highlights for public administration, management and planning:• Medium-sized towns that are more able to “work together as part of a network” enjoy greater population vitality.• Medium-sized towns are not a unitary group: even in an area featuring similar structural characteristics, their evolutionary dynamics differ, calling for place-based policies.• A drive for population deconcentration is under way in agglomerations linked to medium-sized towns, powered by certain population groups, which could adversely affect the quest for a sustainable development model.
      PubDate: Sat, 09 Jul 2022 00:00:00 GMT
  • Socio-economic drivers of increasing number of slums in Chile

    • Abstract: Between 2017 and 2020 the number of households living in slums in Chile has increased by 73.52%, which has led the state to urgently develop housing solutions to reorient public policy in this area. This article contributes to this discussion through an exploratory statistical analysis to identify the socio-economic drivers that best help to explain the formation of slums in Chilean cities. The resulting predictive model is tested in Greater Santiago, the nation’s capital, with good results, validating its usefulness for the design of housing policies. Among the results, low household income and the presence of international immigrants explain an increase in the probability of housing precariousness, while the presence of renters and heads of household with postgraduate degrees decreases this possibility. In addition to the specific scope for the Chilean case, the article shares a methodological strategy that can be replicated in other countries and cities to develop similar diagnoses.Highlights for public administration, management and planning:• A predictive model is developed using census data to identify the areas of the city where vulnerability of housing measured by socioeconomic factors may reflect precariousness of housing.• Areas of the city with high rate of international immigrants and/or low-income households tend to predict precariousness of housing.• Areas of the city where households’ heads have postgraduate degrees and/or are tenants tend to have less probability of developing precarious housing.
      PubDate: Sat, 09 Jul 2022 00:00:00 GMT
  • Assessing transformations in peri-urban areas using GIS: A case of Pune
           city, India

    • Abstract: The unplanned expansion of cities has become a serious concern in India these days. They exert pressure on the city’s resources, resulting in uncontrolled expansion and unliveable circumstances. As a result, there is a need to design certain techniques to reduce this issue in order to have planned growth both within and outside the city. In this research, the demographic, physical and environmental transformations of the peri-urban areas of Pune City have been analysed using GIS and parameters have been suggested to develop a selection index to help identify the areas having urban traits and suggest separate urban local bodies for their governance and planning.Highlights for public administration, management and planning:• Peri-urban regions experience a lot of changes as they transition from rural to urban features, and assessing these changes using GIS is critical for better planning of such areas’ development.• This study provides parameters and creates a selection index to determine if periurban regions have high or low urban traits, and then determines whether those areas should be combined with current municipal boundaries or formed into new urban local bodies using the ArcGIS software.
      PubDate: Sat, 09 Jul 2022 00:00:00 GMT
  • Correlation between user activity at different rooftop typologies in
           residential buildings in a compact urban context

    • Abstract: The scarcity of public open space has compelled urbanites to use residential rooftops as an interaction space. In Dhaka, rooftops are used for various social and recreational purposes which has extensively increased due to COVID-19 restrictions. During this period, few rooftops are used frequently while few are less occupied. Hence, the study identifies different variables that impact rooftop activities and finds correlations between them using the Pearson correlation coefficient. The study further shows the direction for accelerating the use of rooftops as an interaction space in residential buildings.Highlights for public administration, management and planning:• Rooftops represent important places of public life in Dhaka.• The variables that affect the social and recreational activities of residential rooftop space are analysed.•Statistically significant correlations were found between rooftop occupied by various services and number of activities, floor dampness and number of activities, the rooftop occupied by various services and a comfort zone with a pleasant view, parapet height and number of activities, and parapet height and safety.•The paper sets recommendations for designing and managing rooftop spaces.
      PubDate: Sat, 09 Jul 2022 00:00:00 GMT
  • What places bait investments' Urban management stance

    • Abstract: There are only little doubts that territorial competition related to attracting new investments is getting increasingly severe. This competition is closely connected with the wide spectrum of location factors that bear economic as well as social and environmental dimensions. While some of these factors are barely manageable, majority of them can be actively shaped via policies of different kinds and scales. Not surprisingly, intense differentiation applying to both time and spatial perspectives is concomitant to afore mentioned factors. The main objective of this article consists in the analysis and assessment of location factors and mechanisms offered by the managements of Czech towns to potential investors. At the same time, we will examine which location factors and mechanisms these towns regard as important for individual investors. As it turned out, the investment environment in Czechia cannot be considered entirely standard from international perspective, which subsequently rises transaction costs involved in investment location.Highlights for public administration, management and planning:• In nearly one half of investigated Czech towns, there are no systemic standardized procedures how to deal with a new investor.• There are distinct differences between average evaluations of location factors towns consider as important for investment preferences and average evaluations of location factors provided by towns to investors.• When attracting new investors, towns rely primarily on their own endogenous activities. Individual towns should modify their communication with investors during covid/post-covid times.
      PubDate: Sat, 09 Jul 2022 00:00:00 GMT
  • Behavioural mapping and online data as tools for socio-spatial analysis of
           public spaces – Bratislava, Slovakia waterfront case study

    • Abstract: Renewal, revitalisation, or reconstruction of public spaces is an inevitable part of the urban dynamics process. However, before any decision of future development is made, it is necessary to be acquainted with the given place. Mapping urban spaces is essential for recognizing the specifics of a certain area, while a relevant analysis should be performed on the basis of multiple data sources. Nonetheless, identification of relevant data sources as well as their limits, which need to be considered, represent challenges in the process. The study aims to highlight the importance of socio-spatial analyses as tools which help to familiarize place makers with public space as well as with the small nuances of its everyday functioning. Relevant online data sources for urban space analysis (Instasights, Strava) and their limits were explored, described, and applied to the area of interest - two banks of the Danube riverfront in Bratislava, Slovakia. The method was supplemented by mapping of human movement and behaviour. The combination of the methods is a relatively fast and simple way to get to know the spatial, social, environmental, aesthetic, and other dimensions of the given space. The interpretation of data illustrates possible outcomes that can be gained through mapping of public spaces before changes or development plans are proposed. Hence, the paper contributes to the repertory of the possible sources of online data that can be used for recognizing the specific characteristics of individual public spaces. This contributes to responsible decision-making about the future of the urban environment, built on data-based arguments.Highlights for public administration, management and planning:• Online data represents a valuable source of city-related information as well as a relevant addition to other mapping methods.• Mapping an area of interest is a necessary step of the data-based planning process and should always precede any development of urban spaces.• A combination of data from various data sources which reflect life in public space can support user-oriented planning and contribute to responsible decision making.
      PubDate: Sat, 09 Jul 2022 00:00:00 GMT
  • Moral wrongs, indigeneity and the enactment of farmer-herder conflicts
           violence in South-Eastern Nigeria

    • Abstract: Existing studies of the farmer-herder conflicts (FHCs) in Nigeria have not explored the political ecology of the conflict in South-Eastern Nigeria (SEN). Using the political ecology framework (PEF), the paper examines the nature of the FHCs in Nimbo and Awgu areas in SEN. Data were collected through field observations and in-depth interviews. The paper shows that resource scarcity or reduced farming and grazing spaces did not engender violent FHCs in the study area. Instead, actions of the actors that are perceived to be morally wrong are critical. Allegations of moral transgression such as rape, kidnapping by herders and claims that a herder was used as a sacrifice by villagers triggered the violent episode. The pastoralists are discriminated against on the ground of indigenous belonging only after being alleged to have morally transgressed by kidnapping and raping women. However, on the ground that a herder was allegedly used as a sacrifice, they felt also wronged. While the herders are discriminated against based on their non-belonging in the community because they are not indigenous, they have mount resistance by emphasising their citizenship rights and using force to maintain access to grazing spaces, thereby amplifying the farmer-herder tensions. Thus, while identity has contributed to the FHCs violence, moral wrongs enacted and amplified it. The paper contributes to the literature by arguing that while what triggers FHCs may be moral wrongs, moral transgressions can heighten identity constructions that get implicated in practices of exclusion.
      PubDate: Thu, 30 Dec 2021 00:00:00 GMT
  • Landslides in Central Asia: a review of papers published in 2000–2020
           with a particular focus on the importance of GIS and remote sensing

    • Abstract: Landslides are among the major environmental hazards with large-scale socio-economic and environmental impacts that jeopardize socio-economic wellbeing in mountainous regions. Landslides are due to the interaction of several complex factors such as local or regional geology, geomorphology, topography, and seismic motions. The goal of this study is to review published articles on causes and effects of landslides in Central Asia throughout 2000–2020. In line with this goal, we have collected (using Scopus database), reviewed, and analyzed 79 papers published during 2000–2020. Our results revealed an increasing number of landslide studies in Central Asia during the period under investigation, with authors from Belgium dominating in the published outcomes (28% of total), followed by authors from Central-Asian countries. After then, the paper analyses the mostly applied models and frequently identified driving conditions and triggers of landsliding, such as aspect, altitude, soil types, precipitation, earthquakes and human interventions. Geographic information system (GIS) and remote sensing (RS) had not commonly been used in the papers between 2000 and 2010, and they have progressively been applied in landslide studies in Central Asia in the last decade. According to our analysis, geotechnical, geophysical and statistical methods were preferably used for the landslide studies in Central Asia.
      PubDate: Thu, 30 Dec 2021 00:00:00 GMT
  • Earning like a Prof: Academic rank wage premia in Ústí nad
           Labem, Czechia

    • Abstract: The article attempts to estimate the size of the wage premia fetched by ranked academics on the academic market in Ústí nad Labem, Czechia. We employed a large (anonymized) data set of contracts and wages of employees of a medium-sized regional public university in Ústí nad Labem. We used OLS regression in various specifications to determine the wage premia of all educational levels (mainly full professors over associate professors/ docents and associate professors/docents over assistant professors/PhDs) while controlling for many attributes (of employees or contracts) possibly affecting wage levels. The local context regarding the topic of this article is discussed as well. The results generally confirm the intuition and show a clear pattern of increasing wages with levels and ranks. Focusing predominantly on the academic ranks, the monthly premium of associate professors (docents) over PhDs seems to be somewhere between 5 and 6 thousand CZK (185 and 220 EUR), and the premium of full professors over associate professors to an average of around 4 thousand CZK (150 EUR). The latter premium, however, exhibits systematic variation across different schools within the university: in some it is insignificant (around 0), while in others it is rather large and averages around 8 thousand CZK (300 EUR).
      PubDate: Thu, 30 Dec 2021 00:00:00 GMT
  • The landfill from nickel production in Danubian Lowland and its
           environmental implications

    • Abstract: The main objective of the paper is to point out to the origin of the waste from the production of nickel at the landfill in Sereď and its physical and chemical properties that affect the environmental conditions of the site. The landfill of metallurgical technological waste in Sereď is the second largest landfill for non-ferrous metallurgy in Slovakia (Central Europe). It is located in the northern part of the Danubian Lowland, southwest of the industrial zone of town Sereď. We divided the research into two phases. The preparatory phase consisted in obtaining all available archival materials for the years 1956−1993, so from of the construction of the plant to the end of production. The production was lasting from 1963 to 1993. The second phase concerned field research and was associated with sludge sampling for laboratory analysis. The results of the analysis identified the physical and chemical properties of the sludge as well as the possibilities of its use in some sectors of the economy. The production process in the nickel smelter was stopped in 1993 due to economic (annual state production subsidy was CZK 250 million) and ecological reasons. The landfill at the city’s industrial zone has remained to this day, but it was sold to a private company in 1994, thus relieving of the state’s liability for environmental damage.
      PubDate: Thu, 30 Dec 2021 00:00:00 GMT
  • Land-use change and quality of life in residential neighbourhoods:
           Evidence from Tehran, Iran

    • Abstract: Land-use planning generally aims to manage the development of urban areas to address the needs of the communities. In this regard, the multiple and often competing environmental, economic and social conflicts complicate the process of land-use planning. Commercial development in residential neighbourhoods is a common type of land-use conflict that can dramatically exacerbate these potential conflicts. Over the recent decades, many affluent neighbourhoods of Tehran Metropolis (the capital of Iran) have been confronted with an unbridled development of commercial activities within the residential areas. This paper seeks to understand the process of land-use change and its impacts on the residents’ quality of life in an affluent neighbourhood of Tehran Metropolis (Gisha Neighbourhood) by adopting a combination of quantitative and qualitative methods of impact assessment including semi-structured interview, purposeful field survey, and traffic survey. The results yield that incompatible land-use policies of the Tehran Comprehensive Plan and structural defects in the land-use change regulations led to an unbridled process of commercialisation which intensified non-local activities with city/regional service coverage along the main streets of Gisha Neighbourhood. The analysis demonstrates that despite improving the accessibility of residents to urban facilities and reducing their travel time/cost, the process of land-use changes in Gisha Neighbourhood declined the residents’ quality of life by its considerable negative effects on socio-cultural structures, landuse patterns, traffic flow, and human health in the residential areas of the neighbourhood.
      PubDate: Thu, 30 Dec 2021 00:00:00 GMT
  • Predicting the impact of future climate change on streamflow in the Ugam
           River watershed

    • Abstract: Climate change affects the environment and human life across the planet and it is expected that the negative consequences will be large, especially in developing countries, such as Uzbekistan. The objective of this study was to predict the impact of future climate change on the streamflow of Ugam watershed (Chirchik River Basin (CRB)) using the Soil and Water Assessment Tool (SWAT). The outputs of Coupled Model Intercomparison Project Phase 5 (CMIP5), in combination with Representative Concentration Pathway 8.5, were used as future climate records for the period 2019−2048. The SWAT model was calibrated and validated for the streamflow from Ugam watershed through using the observed daily flow data from 2007 to 2011. The calibrated SWAT model was used to simulate the impact of future climate change on streamflow in the Ugam River for 2019−2048. The results show that the stream discharge is expected to decrease by approximately 42% within thirty years, with a 1.4 °C increase in temperature and 286 mm decrease in precipitation. The peak point for the future period is 40.32 m3 /s in 2037 whereas the lowest discharge, predicted for 2048, accounts for 22.54 m3 /s. Our study enables to understand the impact of climate change on water resources in the Ugam river and to increase the adaptive capacity of water users and managers in the region.
      PubDate: Thu, 30 Dec 2021 00:00:00 GMT
  • Corporate social responsibility of small- to medium-size enterprises as a
           solution to out-migration: an example from the hospitality sector

    • 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.
      PubDate: Sat, 03 Jul 2021 00:00:00 GMT
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