이향미 Yi Hyangmi , 김남훈 Kim Namhoon

DOI:10.7851/ksrp.2025.31.4.001 Vol.31(No.4) 1-10, 2025

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김도은 Kim Do-eun , 김용진 Kim Young-jin , 강동진 Kang Dong-jin , 손용훈 Son Yonghoon

DOI:10.7851/ksrp.2025.31.4.011 Vol.31(No.4) 11-27, 2025

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This study aims to classify spatial living zones in remote island areas of Korea based on accessibility to basic services. Using QGIS-based network analysis and clustering methods, accessibility was measured at both local and regional levels for 321 inhabited islands with available, maritime transport data. Key services―healthcare, education, culture, commerce, and transportation― were used to derive accessibility indicators. Islands were categorized into four types: (1) Inland-connected Island Living Zones with easy land access, (2) Mid-distance individual Zones highly dependent on maritime transport, (3) Independent Island Living Zones with full internal service coverage, and (4) Remote Hub-Island-Connected Living Zones with core-periphery structures between central and surrounding islands. Each type exhibited distinct spatial and functional characteristics in terms of service dependency and geographic distribution. The findings highlight the need for differentiated strategies in service provision and spatial planning. This study provides empirical evidence to support customized policy development for improving quality of life in geographically isolated island regions.

리재웅 Rhee Zaewoong , 이상현 Lee Sang-hyun , 유승환 Yoo Seung-hwan , 김진성 Kim Jin-sung , 김동중 Kim Dong-jung , 취뤼 Qu Rui , 이향미 Yi Hyangmi

DOI:10.7851/ksrp.2025.31.4.029 Vol.31(No.4) 29-42, 2025

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This study analyzes the gap between the utilization and accessibility of agricultural and rural information among field practitioners engaged in agricultural infrastructure and rural development projects. A total of 91 information items were categorized into four domains―soil, drainage, farming, and farmland―and analyzed using the Importance-Performance Analysis (IPA) method combined with the Wilcoxon signed-rank test to ensure statistical robustness. The results show that practitioners in agricultural infrastructure projects generally have higher levels of information utilization but face greater barriers to access, particularly for soil (S2, S3, S6, S27), crop production (A17, A18, A22), and farmland (L9, L10, L14) data. Based on these findings, this study proposes four directions for improving the agricultural and rural information system: (1) building an integrated information framework reflecting user demand, (2) refining data disclosure standards to enhance accessibility while protecting privacy, (3) developing data-based planning guidelines and spatial decision-support tools, and (4) constructing a comprehensive data integration platform linking internal, external, and field data. Although the sample is limited to practitioners from the Korea Rural Community Corporation, the study offers practical insights for designing a user-oriented information system. Future research should expand to include local governments, research institutes, and private sectors to improve the policy applicability and inclusiveness of the system.

유선철 Yu Seoncheol , 민경주 Min Kyungju

DOI:10.7851/ksrp.2025.31.4.043 Vol.31(No.4) 43-53, 2025

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This study examines institutional challenges associated with Rural Specialization Districts (RSDs) established under the 2024 Rural Spatial Restructuring Act and proposes strategies to enhance their effectiveness for sustainable rural development. Through a theoretical review of rural spatial planning following the Act’s implementation, the research establishes its distinct scope. It further analyzes legal frameworks governing land use and zoning relevant to RSDs under other national laws, complemented by case studies from Japan and Germany. Based on these insights, the study identifies key policy tasks, including the development of detailed designation criteria for each RSD type, the management of RSD-related information systems, and the formulation of project plans tailored to district characteristics. Additionally, it proposes operational strategies aligned with three legal contexts: the National Land Planning Act, the Framework Act on Land Use Regulation, and the Rural Spatial Restructuring Act. Acknowledging the limitation that local governments are still in the early stages of planning, the study emphasizes the importance of institutional and strategic preparedness. Future institutional and policy refinements should be a continuous process, informed by practical experience gained from empirical evaluations and citizen participation once local governments have established their master and implementation plans.

나라 Na Ra , 주동혁 Joo Donghyuk , 유승환 Yoo Seung-hwan , 배승종 Bae Seung-jong , 박호철 Pak Ho-cheol , 최규훈 Gyuhoon Choi , 성재훈 Sung Jae-hoon , 최진용 Choi Jin-yong , 손정우 Son Jeong-woo , 허승오 Hur Seung-oh

DOI:10.7851/ksrp.2025.31.4.055 Vol.31(No.4) 55-67, 2025

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The Agricultural Environment Conservation Program, implemented by the Ministry of Agriculture, Food and Rural Affairs (MAFRA) since 2018, is a region-based environmental initiative aimed at reducing the environmental burden of agricultural activities through the promotion of eco-friendly farming practices, reduction of pesticide and fertilizer use, and protection of soil and water resources. The program encompasses the entire process from planning to implementation and evaluation, with participation from both individual farmers and community units. To ensure policy effectiveness, the establishment of a scientific and quantitative performance management system is essential. This study developed an integrated system for the Agricultural Environment Conservation Program, featuring automated implementation monitoring, spatial data analysis, and automated report generation. The system adopts a client-server architecture and incorporates advanced ICT technologies such as customized UI/UX, external API-based data collection, relational database storage, GeoJSON-based spatial visualization, and role-based access control. It systematically manages data on unit costs, budgets, activities, and land parcels, and improves monitoring efficiency through automated comparison between plans and actual performance, along with alert functions for incomplete or missing activities. Moreover, the system enables time-series analysis and environmental change prediction by linking satellite data, and supports administrative efficiency with pre-defined templates for automated report generation. The proposed system provides a foundation for quantitative performance management, systematic implementation oversight, and automation of field operations, and is expected to enhance the execution of agricultural environmental policies and contribute to the realization of a sustainable agricultural environment.

김종필 Kim Jong-pil , 김태연 Kim Tae-yeon , 윤상헌 Yun Sang-hun , 임청룡 Lim Cheong-ryong

DOI:10.7851/ksrp.2025.31.4.069 Vol.31(No.4) 69-75, 2025

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In this study, a survey was conducted targeting potential users demanders of residential farm to analyze the factors influencing the size of residential housing and vegetable garden within such farms. The main findings can be summarized as follows: First, the factor analysis revealed that utility-related factors consist of surrounding amenities, surrounding landscape, facility management method, and facility size, while cost-related factors consist of rental fees, travel distance, and travel time. Second, regarding housing size, it was found that individuals tend to prefer larger-scale residential farm housing when utility factors are higher, when the age group is younger, and when the intended length of stay is longer. Third, with respect to vegetable garden size, individuals showed a preference for larger garden sizes when cost factors are lower, when the respondent is male, and when the length of stay is longer.

이지민 Lee Jimin

DOI:10.7851/ksrp.2025.31.4.077 Vol.31(No.4) 77-89, 2025

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The value of rural areas has evolved over time in response to changing social demands and environmental contexts. Traditionally perceived as production-oriented spaces, rural areas have increasingly been recognized for their cultural and environmental values due to industrialization, urbanization, population decline, and the dissolution of traditional communities. This study analyzes the shifts in rural discourse by examining representative rural development policy guidelines using text mining techniques. Three major policies were analyzed: the Saemaul Undong (1970s), the Rural Settlement Development Project (1990s), and the Comprehensive Rural Village Development Project (2010s). The analysis incorporated noun-based frequency analysis, social network analysis, and topic modeling. The results showed that the term “village” remained central throughout all periods, highlighting the enduring village-oriented focus of rural policy. Since the 1990s, the growing prominence of the term “planning” indicates a stronger emphasis on preparatory processes before project execution. In the 2010s, increased attention to “residents” reflected a shift toward participatory, bottom-up policy approaches. Earlier policies were centered on specific project components, while recent ones emphasize planning and implementation processes. Overall, the basic framework of rural policy has remained consistent, yet the growing importance of “planning” and “residents” reveals a gradual shift in focus. This study contributes by applying text mining techniques to rural policy documents, though its ability to fully capture the broader evolution of rural discourse remains limited. Future research should incorporate a wider range of discourse analysis methods to trace the ongoing transformation of rural values.

강동진 Kang Dong-jin , 김도은 Kim Do-eun , 박준호 Park Jun-ho , 손용훈 Son Yonghoon

DOI:10.7851/ksrp.2025.31.4.091 Vol.31(No.4) 91-102, 2025

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This study utilized the Topographic Position Index (TPI) to quantitatively identify the spatial characteristics of ruralness in Gochang County, Jeollabuk-do, and proposed management strategies for different landscape types. In response to the implementation of rural space restructuring policies, this study aimed to complement the limitations of existing urban planning-centered approaches and move beyond amenity-based resource classification by attempting a landscape interpretation that reflects topography, water systems, and spatial structure. Using 30-m SRTM DEM data, we calculated TPI for circular neighborhoods with a 500-m radius, representing the basic living-area unit. Hilly areas were then delineated where the slope was ≤ 10° and TPI was ≥ 5. After correlation analysis and standardization (Z-score), K-means clustering analysis (K=3) was conducted to classify Gochang's hilly areas into forest-type, facility farmland-type, and grassland-type. The forest type has high elevation, slope, and forest coverage, making it highly valuable for conservation. The facility farmland type is characterized by low elevation and flat terrain supporting intensive agricultural activities. The grassland type has a mixed structure with no dominant land use, offering high potential for land use conversion. Differentiated management strategies, such as ecological conservation, agricultural environment management, and mixed-use development, were proposed for each type. This study presents a practical analytical framework for spatializing rural characteristics based on topography, demonstrating its potential as foundational data for region-specific rural spatial planning.

성재훈 Sung Jae-hoon

DOI:10.7851/ksrp.2025.31.4.103 Vol.31(No.4) 103-111, 2025

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The Agri-Environmental Conservation Program (AECP) is the most comprehensive agri-environmental payment scheme in Korea, encompassing a wide range of activities. Unlike existing direct payment schemes, the AECP operates through collective participation at the village level to enhance farmers’ engagement and the effectiveness of their practices. Accordingly, the program is expected to play a significant role in shaping the design and implementation of future direct payment schemes, depending on its performance and long-term sustainability. However, an assessment of the environmental performance of villages that initiated the program in 2019 revealed the need for institutional improvements to strengthen its policy effectiveness. The objective of this study is to propose policy measures to enhance the effectiveness of the AECP through a comprehensive evaluation of its current implementation. To this end, policy scenarios for the AECP were developed with reference to previous literature on agri-environmental payment schemes. In addition, an integer programming model was constructed to analyze these scenarios, drawing on research related to conservation planning. The scenario analysis demonstrated that an optimization approach based on environmental benefits and costs substantially improves both the cost and environmental effectiveness of individual activities. Furthermore, relaxing the per-capita subsidy limit for individual activities―rather than simply increasing the total budget―was found to be more effective in enhancing the program's cost efficiency. Finally, tightening the constraints on mandatory activities did not yield further improvements in environmental benefits or cost effectiveness compared with the optimization scenario. These findings underscore the need for institutional reforms that prioritize policy improvements grounded in evidence on environmental benefits and costs.

정재영 Jung Jaeyoung , 김솔희 Kim Solhee , 이경도 Lee Kyungdo , 김태곤 Kim Taegon

DOI:10.7851/ksrp.2025.31.4.113 Vol.31(No.4) 113-124, 2025

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Recent climate change, extreme weather events, and global supply chain disruptions have intensified price volatility in the international grain market and heightened uncertainty in food security. For South Korea, with its low grain self-sufficiency rate, such external shocks can directly lead to food security instability. This underscores the urgent need for a systematic information system capable of providing timely assessments of crop conditions in major grain-producing countries and integrating this information into policy decision-making. This study aims to develop a system design framework tailored to Korea's circumstances by analyzing and comparing existing satellite-based crop monitoring systems in operation abroad, namely: Crop Explorer, Monitoring Agricultural ResourceS (MARS), the Global Information and Early Warning System (GIEWS), and CropWatch. The analysis showed that all four systems share the common feature of integrating satellite-derived vegetation indices with meteorological data to assess crop conditions and yields. At the same time, their variations in scope, objectives, and delivery methods illustrate how system designs are adapted to specific regional and policy needs. These differences provide practical insights for developing a framework suited to Korea's agricultural context and policy priorities. The Crop Explorer provides an open platform that integrates satellite and meteorological data with periodic updates. The MARS combines vegetation indices with crop growth models to deliver precision yield forecasts designed to support EU agricultural policies. The GIEWS emphasizes early warning of food crises through the Agricultural Stress Index (ASI), whereas CropWatch employs multi-layered spatial analysis and automated data processing to monitor crop conditions both in China and globally. Based on these findings, this study proposes a system design for Korea centered on five core components: (1) constructing high-resolution cropland maps using deep learning techniques, (2) employing advanced vegetation indices that capture crop physiological processes, (3) integrating reanalyzed meteorological datasets, (4) establishing automated large-scale data processing pipelines, and (5) providing a user-friendly web-based visualization platform. The proposed design is expected to serve as an evidence-based decision-support tool, enhancing the accuracy1) and timeliness of crop yield information, and thereby contributing to food supply-demand policies, disaster response, and the formulation of mid- to long-term agricultural strategies.