scholarly journals Spatial Analysis of Abandoned Houses and Their Influencing Factors in South Korea

2021 ◽  
Vol 11 (18) ◽  
pp. 8576
Author(s):  
Heesun Joo ◽  
Soyeong Lee
Keyword(s):  
South Korea ◽  
Spatial Regression ◽  
Autocorrelation Analysis ◽  
Unit Of Analysis ◽  
Factors Affecting ◽  
Wide Range ◽  
The Status ◽  
Spatial Regression Analysis ◽  
Neighborhood Level ◽  
Housing Abandonment

The number of abandoned houses is rapidly growing across South Korea. The increasing number of abandoned houses is directly linked to a wide range of problems in communities, such as apprehension about crimes. This study aimed to analyze the variables that affect housing abandonment empirically. First, we analyzed the status of housing abandonment in various regions based on the addresses of the abandoned houses. Second, we identified the spatial characteristics of abandoned houses through spatial autocorrelation analysis. Third, we selected variables based on the literature review and analyzed the factors affecting housing abandonment through spatial regression analysis. Lastly, we aimed to explore the correlation between regional characteristics and the occurrence of housing abandonment, and to derive the factors influencing housing abandonment. This study found that abandoned houses were more likely to occur mainly in areas with environmentally vulnerable features. In this study, neighborhood environmental factors that promoted the occurrence of abandoned houses were derived by considering the neighborhood-level unit of analysis.

scholarly journals A Multilevel Model Approach for Assessing the Effects of House and Neighborhood Characteristics on Housing Vacancy: A Case of Daegu, South Korea

2019 ◽  
Vol 11 (9) ◽  
pp. 2515
Author(s):  
Jeong-Il Park
Keyword(s):  
South Korea ◽  
Physical Environment ◽  
Multilevel Model ◽  
Hot Spot ◽  
Population Decline ◽  
Single Family ◽  
Factors Affecting ◽  
Clustering Pattern ◽  
Housing Vacancy ◽  
Neighborhood Level

Previous studies on housing vacancy mostly focused on variables representing regional characteristics while overlooking the characteristics of individual houses. This is due to the limitations of available data. Using the house-level Housing Vacancy Database, this study aims to identify the spatial clustering pattern of vacant houses by examining single-family houses in Daegu, South Korea, and analyze the factors affecting housing vacancy. The Housing Vacancy Database built in this study provides accurate location information of vacant houses, making it possible to analyze the clustering pattern of vacant houses in a more detailed spatial unit. Furthermore, the Housing Vacancy Database considered various physical and neighborhood factors at the house level. The result of hot spot analysis showed that vacant houses were spatially concentrated in the city center. As a result of analyzing the factors affecting housing vacancy at the house level and neighborhood level using a multilevel model, it was found that the physical environment characteristics of individual houses were key factors affecting housing vacancy. Additionally, the probability of housing vacancy tended to increase when the land prices were higher, the houses were located in redevelopment zones, and there were more neighboring vacant houses nearby. Meanwhile, population decline and the ratio of old houses were the only significant variables at the neighborhood level. Thus, this study addresses that policies are needed to improve housing and physical environment characteristics that contribute to housing vacancy.

scholarly journals Social Factors Affecting Sustainable Shark Conservation and Management in Belize

2019 ◽  
Vol 12 (1) ◽  
pp. 40 ◽  
Author(s):  
Stephanie M. Sabbagh ◽  
Gordon M. Hickey
Keyword(s):  
Social Factors ◽  
Collaborative Governance ◽  
Factors Affecting ◽  
Roles And Responsibilities ◽  
Conservation Policies ◽  
Wide Range ◽  
The Status ◽  
Coral Reef Ecosystems ◽  
Shark Conservation ◽  
Conservation And Management

Predatory sharks contribute to healthy coral reef ecosystems; however their populations are declining. This paper explores some of the important social factors affecting shark conservation outcomes in Belize through a qualitative analysis of the shark-related activities, attitudes and perceptions among local stakeholders and their perceived relative ability to influence shark conservation policies. Drawing on key informant interviews and focus groups, respondents suggested that considerable demand for shark meat originates from markets in Mexico, Guatemala and Honduras, especially during Lent, driving larger-scale shark fishing operations within Belize waters. Different stakeholders reported a wide range of uses for shark products, and reported diverging perceptions concerning the status and value of shark populations in Belize, with conflicting attitudes towards their conservation. Such conflicting perceptions among stakeholders can pose a serious challenge to sustainable shark conservation and management, and ultimately undermine collaborative governance objectives. Belize shark conservation issues likely need to be addressed at the scale of the Mesoamerican Barrier Reef, perhaps by taking a transboundary approach that better accounts for the roles and responsibilities of stakeholders from Belize, Mexico, Guatemala and Honduras.

Factors Affecting Molecular Self-Assembly and Its Mechanism

2012 ◽  
Vol 9 (1) ◽  
pp. 43 ◽  
Author(s):  
Hueyling Tan
Keyword(s):  
Self Assembly ◽  
Building Blocks ◽  
Molecular Engineering ◽  
Molecular Structures ◽  
Polymer Science ◽  
New Approach ◽  
Factors Affecting ◽  
Dna Structures ◽  
Self Assembling ◽  
Wide Range

Molecular self-assembly is ubiquitous in nature and has emerged as a new approach to produce new materials in chemistry, engineering, nanotechnology, polymer science and materials. Molecular self-assembly has been attracting increasing interest from the scientific community in recent years due to its importance in understanding biology and a variety of diseases at the molecular level. In the last few years, considerable advances have been made in the use ofpeptides as building blocks to produce biological materials for wide range of applications, including fabricating novel supra-molecular structures and scaffolding for tissue repair. The study ofbiological self-assembly systems represents a significant advancement in molecular engineering and is a rapidly growing scientific and engineering field that crosses the boundaries ofexisting disciplines. Many self-assembling systems are rangefrom bi- andtri-block copolymers to DNA structures as well as simple and complex proteins andpeptides. The ultimate goal is to harness molecular self-assembly such that design andcontrol ofbottom-up processes is achieved thereby enabling exploitation of structures developed at the meso- and macro-scopic scale for the purposes oflife and non-life science applications. Such aspirations can be achievedthrough understanding thefundamental principles behind the selforganisation and self-synthesis processes exhibited by biological systems.

Uphoff Norman, Priti Ramamurthy, and Roy Steiner. Managing Irrigation: Analysing and Improving the Performance of Bureaucracies. New Delhi/Newbury Park/London: Sage Publications. 1991. Hardbound. Price not given.

1993 ◽  
Vol 32 (2) ◽  
pp. 226-228
Author(s):  
Zakir Hussain
Keyword(s):  
Water Distribution ◽  
Irrigation System ◽  
Irrigation Management ◽  
Performance Criterion ◽  
New Delhi ◽  
Irrigation Performance ◽  
Factors Affecting ◽  
Wide Range ◽  
Resource Mobilisation ◽  
Management Issues

The book; under review provides a valuable account of the issues and factors in managing the irrigation system, and presents a lucid and thorough discussion on the performance of the irrigation bureaucracies. It comprises two parts: the first outlines the factors affecting irrigation performance under a wide range of topics in the first five chapters. In Chapter One, the authors have attempted to assess the performance of the irrigation bureaucracies, conceptualise irrigation management issues, and build an empirical base for analysis while drawing upon the experience of ten country cases in Asia, Africa, and Latin America. The Second Chapter focuses on the variations in the management structures identified and the types of irrigation systems; and it defines the variables of the management structures. The activities and objectives of irrigation management are discussed in Chapter Three. The objectives include: greater production and productivity of irrigation projects; improved water distribution; reduction in conflicts; greater resource mobilisation and a sustained system performance. The authors also highlight the performance criterion in this chapter. They identify about six contextual factors which affect the objectives and the performance of irrigation, which are discussed in detail in Chapter Four. In Chapter Five, some organisational variables, which would lead to improvements in irrigation, are examined.

Implementasi Manajemen Pengetahuan pada Perguruan Tinggi Swasta di Kabupaten Garut

2019 ◽  
Vol 22 (2) ◽  
Author(s):  
Hendarsita Amartiwi
Keyword(s):  
Knowledge Management ◽  
Private Higher Education ◽  
Survey Method ◽  
Unit Of Analysis ◽  
Factors Affecting ◽  
Confirmatory Factor ◽  
Research Findings ◽  
Survey Results ◽  
Use Of Knowledge ◽  
Descriptive Statistical Analysis

This study scrutinize the factors affecting knowledge management, consisting of acquisition of knowledge, storage of knowledge, distribution of knowledge and use of knowledge, at Private Higher Education Institutions in Garut Regency.  The purpose of this study is to analyze the factors shaping the knowledge management.  By using a survey method with a quantitative approach, the unit of analysis of this study is lecturer at 14 Private Universities in Garut Regency, with 229 lecturers as respondents. Data is obtained from survey results through questionnaires distributed directly to lecturers. Data is processed using descriptive statistical analysis and Confirmatory Factor Analysis (CFA). The research findings showed that the use of knowledge and the storage of knowledge are the most powerful factors in knowledge management, followed by the acquisition of knowledge, and distribution of knowledge.

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