Measuring local competitiveness: comparing and integrating two methods PCA and AHP

Kurek, Katarzyna A.; Heijman, Wim; Ophem, Johan van; Gędek, Stanisław; Strojny, Jacek

doi:10.1007/s11135-021-01181-z

Cited by 22 publications

(8 citation statements)

References 62 publications

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“…In this way, determining the weight can better reflect the objectivity and rationality, and the calculation is more standardized, which is convenient for realization on the computer. The popularity of AHP is due to its simplicity, flexibility, ease of use, and interpretability 29,30 . AHP is a multi-objective, multi-criteria decision-making method capable of organizing, analyzing and solving complex decision-making problems 31 .…”

Section: Methodsmentioning

confidence: 99%

GIS model for geothermal advantageous target selection

Huang

Chen

et al. 2023

Sci Rep

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As the particularly popular green energy, geothermal resources are gradually favored by countries around the world, and the development model centered on geothermal dew point cannot meet the increasing geothermal demand. In this paper, a GIS model combining PCA and AHP is proposed, aiming to select the advantages of geothermal resources at the regional scale and analyze the main influencing indicators. Through the combination of the two methods, both data and empirical can be considered, then the geothermal advantage distribution on the area can be displayed through GIS software images. A multi-index evaluation system is established to qualitatively and quantitatively evaluate the mid-high temperature geothermal resources in Jiangxi Province, and carry out the evaluation of the dominant target areas and the analysis of geothermal impact indicators. The results show that it is divided into 7 geothermal resource potential areas and 38 geothermal advantage targets, and the determination of deep fault is the most critical index of geothermal distribution. This method is suitable for large-scale geothermal research, multi-index and multi-data model analysis and precise positioning of high-quality geothermal resource targets, which can meet the needs of geothermal research at the regional scale.

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Section: Methodsmentioning

confidence: 99%

GIS model for geothermal advantageous target selection

Huang

Chen

et al. 2023

Sci Rep

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“…Mediante pruebas no paramétricas se demostró que existe una correlación significativa entre los índices de competitividad local (PCA) y AHP. Los dos métodos utilizados en la investigación de las ciencias sociales conducen a resultados del modelo comparables (Kurek et al, 2022).…”

Section: Planteamiento Del Problema De La Competitividad Análisis Del...unclassified

Avances en investigación científica. Tomo IV: Ciencias multidisciplinarias

2023

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En este último inicio de decenio la investigación y las capacidades institucionales para investigar han crecido de manera exponencial. A las problemáticas colectivas tradicionales, y no por ello menos importantes, se han sumado eventos de tipo sanitario, ambiental, social, político y cultural que han demandado un compromiso superior por parte de los investigadores e innovadores a nivel mundial. Ahora bien, toda esta dinámica requiere a su vez de espacios idóneos para la socialización de las alternativas más idóneas para su solución; es así como desde la Corporación Universitaria Autónoma de Nariño, extensión Santiago de Cali - Colombia, durante noviembre de 2022 se desarrolló el III Congreso internacional de ciencias económicas y sociales. IV Encuentro de socialización académica sobre experiencias investigativas donde cientos de investigadores de distintas latitudes se dieron cita para evidenciar sus valiosos aportes a la generación de nuevo conocimiento. Producto de dicho espacio académico nace esta publicación, donde se condensan los distintos trabajos presentados para preservar su consulta y difusión a través de los medios digitales disponibles en estos tiempos de globalización. Agradeciendo el compromiso y la confianza de todos los autores, ponemos a disposición de la comunidad investigativa esta obra de valioso carácter científico esperando que cumpla su misión de difundir la ciencia en Colombia y el mundo.

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“…These methods initially have some fuzziness, and cannot clearly and quantitatively determine the effects of individual driving factors of LULC. Secondly, when dividing the weight of various factors, the subjectivity is too strong to objectively ascertain the optimal weight ratio [28,29]. Knowledge gaps exist in quantitatively exploring the drivers of LULC formation and its change in endorheic river basins.…”

Section: Introductionmentioning

confidence: 99%

Land Use Pattern Changes and the Driving Forces in the Shiyang River Basin from 2000 to 2018

Chunyu

Feng

2022

Sustainability

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Thorough understanding of the evolution processes and drivers behind the formation of and changes in land use and land cover (LULC) is essential for maintaining the balance between humans and fragile nature in arid regions. This quantitative driving analysis provides in-depth insight into the driving mechanisms behind the formation of and changes in LULC through a case study of the Shiyang River Basin in Northwest China. Based on land use, meteorological, topographic, and socioeconomic data from 2000 to 2018 (2000, 2005, 2010, 2015, and 2018), this study employed land use transfer matrices and the GeoDetector model to explore the evolution and driving forces behind the formation of and variations in the LULC patterns. The results demonstrated that anthropic factors mainly drove the spatial distributions of cropland and settlement. The spatial distributions of the forest, grassland, and bare land were determined by the mutual influence of natural and anthropic factors. The LULC patterns exhibited consequential variations throughout the study period. Through the occupation of the surrounding cropland and grassland, urbanization expanded rapidly. The ecological environment had been improved, but there were still considerable areas of degraded land, characterized by the grassland degradation downstream and the forest degradation upstream. Geographical differentiation was the primary driver for the transformation of bare land to grassland. The main driving forces behind urban expansion and forest loss were socioeconomic development and geographical differentiation. The degree of a certain LULC change varied among different levels of its driving factor. This research can provide scientific advice for administrators and policymakers to formulate scientific, rational, and targeted land use planning and policies in the future to achieve the sustainable development of endorheic river basins.

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Measuring local competitiveness: comparing and integrating two methods PCA and AHP

Cited by 22 publications

References 62 publications

GIS model for geothermal advantageous target selection

GIS model for geothermal advantageous target selection

Avances en investigación científica. Tomo IV: Ciencias multidisciplinarias

Land Use Pattern Changes and the Driving Forces in the Shiyang River Basin from 2000 to 2018

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