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Journal articles on the topic 'Multidimensional indicators'

Author: Grafiati

Published: 14 March 2023

Last updated: 25 July 2025

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1

Sel�n, Jan. "Multidimensional descriptions of social indicators." Social Indicators Research 17, no. 4 (1985): 435–45. http://dx.doi.org/10.1007/bf00290324.

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Zhao, Rongying, and Xu Wang. "Research on impact evaluation of academic journals from multidimensional perspective." Library Hi Tech 38, no. 2 (2019): 458–78. http://dx.doi.org/10.1108/lht-03-2019-0067.

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Purpose The purpose of this paper is to introduce altmetric indicators and combine with traditional citation indicators to comprehensively evaluate the impact of academic journals from the perspective of multidimensional and multi-indicator fusion. Design/methodology/approach The authors take international multidisciplinary journals as an example, combining 14 traditional citation indicators of academic journals and introducing 14 altmetric indicators to build a comprehensive evaluation model of the impact of academic journals (academic impact and societal impact). At the same time, the author

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Ameur, H. Ben, G. Chavent, F. Clément, and P. Weis. "Image segmentation with multidimensional refinement indicators." Inverse Problems in Science and Engineering 19, no. 5 (2011): 577–97. http://dx.doi.org/10.1080/17415977.2011.579609.

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Valdés, Javier. "Arbitrariness in Multidimensional Energy Security Indicators." Ecological Economics 145 (March 2018): 263–73. http://dx.doi.org/10.1016/j.ecolecon.2017.09.002.

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Ambel, Alemayehu Azeze, Harriet Kasidi Mugera, and Robert E. S. Bain. "Accounting for drinking water quality in measuring multidimensional poverty in Ethiopia." PLOS ONE 15, no. 12 (2020): e0243921. http://dx.doi.org/10.1371/journal.pone.0243921.

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The Multidimensional Poverty Index is used increasingly to measure poverty in developing countries. The index is constructed using selected indicators that cover health, education, and living standards dimensions. The accuracy of this tool, however, depends on how each indicator is measured. This study explores the effect of accounting for water quality in multidimensional poverty measurement. Access to drinking water is traditionally measured by water source types. The study uses a more comprehensive measure, access to safely managed drinking water services, which are free from E. coli contam

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Akimkina, E. E. "Structuring and visualization of indicators in multidimensional data cubes." Informacionno-technologicheskij vestnik, no. 4 (December 30, 2018): 79–87. http://dx.doi.org/10.21499/2409-1650-2018-4-79-87.

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The problems of structuring of indicators in multidimensional data cubes with their subsequent processing with the help of end-user tools providing multidimensional visualization and data management are analyzed; the possibilities of multidimensional data processing technologies for managing and supporting decision making at a design and technological enterprise are shown; practical recommendations on the use of domestic computer environments for the structuring and visualization of multidimensional data cubes are given.

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Ahmed Hasan, Mustafa, and Eman Muhammad al-Mashhadani. "Robustness & Measurement of Multidimensional Poverty Index in Iraq." Journal of Economics and Administrative Sciences 30, no. 144 (2024): 485–500. https://doi.org/10.33095/n4w7ca27.

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Purpose: This paper aims to measure poverty in Iraq and its sub-indicators using a multidimensional methodology. It also examines the robustness and sensitivity of the estimated indicators and models the determinants of poverty through a binary logistic regression approach. Theoretical framework: Poverty is commonly measured through two primary methodologies. The first is a one-dimensional approach, which defines poverty as insufficient income to meet a specific set of needs required for a decent standard of living. The second is a multidimensional approach, which aligns with Amartya Sen's cap

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Rani, Salma, Aqil Khan, Naveed Ali, and Khalid Khan. "The Prevalence and Correlates of Multidimensional Poverty: A Survey Analysis of District Charsadda." Pakistan Journal of Humanities and Social Sciences 11, no. 2 (2023): 2137–48. http://dx.doi.org/10.52131/pjhss.2023.1102.0508.

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This study estimates the prevalence rate of multidimensional poverty, and determines its socio-economic determinants through survey of Behram Dheri, a Union Council of district Charsadda. The prevalence and severity of multidimensional poverty has been estimated through Alkire-Foster approach having ten indicators of multidimensional poverty. Whereas, binary-logit model has been employed to determine the impact of contributory determinants of poverty on multidimensional poverty. In result it is concluded that the incidence of poverty is 0.842 which interprets that about 84% of the households a

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Tugba, Altintas. "Grouping OECD Countries According to Better Life Index Indicators by Multidimensional Scaling Analysis." Cognizance Journal of Multidisciplinary Studies (CJMS) 2, no. 12 (2022): 18–22. https://doi.org/10.47760/cognizance.2022.v02i12.003.

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<em>The aim of this study is to group OECD countries using the better life index indicators through multidimensional scaling analysis. The Better Life Index consists of thirty-three variables under the dimensions of material living conditions (income and wealth, work and earnings, housing conditions) and quality of life (health status, work-life balance, education and skills, social connections, civic engagement and governance, environmental quality, personal safety and life satisfaction). These thirty-three indicators constitute the variables of the multidimensional scaling analysis. As a res

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Arimi, Sailal, Harmaini Harmaini, and Hafdhallah Hafdhallah. "INTEGRASI INDEKS KEMISKINAN MULTIDIMENSI DALAM SISTEM AKUNTANSI PUBLIK UNTUK MENDORONG AKUNTABILITAS SOSIAL PEMERINTAH." Worksheet : Jurnal Akuntansi 4, no. 2 (2025): 226–37. https://doi.org/10.46576/wjs.v4i2.6530.

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Poverty is no longer measured solely by a lack of income, but is increasingly understood as a condition of deprivation across multiple dimensions of life. This study aims to measure the Multidimensional Poverty Index (MPI) of households in Indonesia using the Alkire-Foster (AF) method, utilizing data from the 2014 Indonesia Family Life Survey (IFLS), which remains the most recent wave conducted by the RAND Corporation. In addition, the study decomposes the MPI by geographic location (rural and urban areas) and calculates the contribution of each dimension and indicator to the overall MPI in bo

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Cerdeiro, Diego, and Rachel Nam. "A Multidimensional Approach to Trade Policy Indicators." IMF Working Papers 18, no. 32 (2018): 1. http://dx.doi.org/10.5089/9781484342350.001.

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Nur, Widi Astuti, Firmansyah Firmansyah, and Widodo Wahyu. "A Multidimensional Approach of Child Poverty in Indonesia." E3S Web of Conferences 73 (2018): 10015. http://dx.doi.org/10.1051/e3sconf/20187310015.

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This research discuss about child poverty, which is commonly called deprivation. The purpose of this research is to count multidimensional child poverty index as child poverty measuring istrument in 34 provinces of Indonesia, by using composite idex count calculation. Dimensions and indicators used to compose Multidimensional Child Poverty Index in this research are adapting from dimensions and indicators that used in research by Mahadewi and Kodoatie1. Besides that, the determination of dimensions and indicator also adjust the availability of data from SUSENAS 2015.The calculation result of M

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Raza, Ali, Maryam Khokhar, Sarmad Ejaz, et al. "Sustainable Development Goals and Energy Poverty Reduction: Empirical Evidence from N11 Countries." International Journal of Energy Economics and Policy 14, no. 2 (2024): 701–10. http://dx.doi.org/10.32479/ijeep.15112.

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This research aims to integrate the severity of energy poverty with a multidimensional indicator established using the GRA-SRA methodology. In this case study, N11 nations utilize data from 2001 to 2017 to create a multidimensional indicator of energy poverty by integrating 13 indicators for N11 nations (energy availability, energy cleanliness, and energy accessibility). This study combines the severity of energy poverty with a multidimensional indicator developed with the GRA-SRA approach. In this case study, N11 nations use data from 2001 to 2017 to build a multidimensional indicator of ener

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Leplat, L., R. S. Torres, D. Aspen, and A. Amundsen. "VIZPLAN: A VISUAL ANALYTICS PLATFORM FOR THE ASSESSMENT OF MULTIDIMENSIONAL INDICATORS OVER TIME." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W3-2022 (October 14, 2022): 127–34. http://dx.doi.org/10.5194/isprs-annals-x-4-w3-2022-127-2022.

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Abstract. In this paper, we introduce VizPlan, a new platform to support the assessment of multidimensional indicators over time. VizPlan includes a visualisation scheme based on a radial visual structure that allows the direct comparison of indicator values over time, a search tool to support the identification of entities whose indicators are similar to each other, and a clustering tool to group entities according to their indicator scores. VizPlan was designed and implemented to be flexible; it can be easily tailored to the visualization and analysis of any multidimensional temporal data. I

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Libório, Matheus Pereira, Roxani Karagiannis, Alexandre Magno Alvez Diniz, Petr Iakovlevitch Ekel, Douglas Alexandre Gomes Vieira, and Laura Cozzi Ribeiro. "The Use of Information Entropy and Expert Opinion in Maximizing the Discriminating Power of Composite Indicators." Entropy 26, no. 2 (2024): 143. http://dx.doi.org/10.3390/e26020143.

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This research offers a solution to a highly recognized and controversial problem within the composite indicator literature: sub-indicators weighting. The research proposes a novel hybrid weighting method that maximizes the discriminating power of the composite indicator with objectively defined weights. It considers the experts’ uncertainty concerning the conceptual importance of sub-indicators in the multidimensional phenomenon, setting maximum and minimum weights (constraints) in the optimization function. The hybrid weighting scheme, known as the SAW-Max-Entropy method, avoids attributing w

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Shinkarenko, Volodymyr, Maksym Matskul, and Dean Linok. "Investment attractiveness modeling using multidimensional statistical analysis methods." SHS Web of Conferences 65 (2019): 04007. http://dx.doi.org/10.1051/shsconf/20196504007.

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The article examines the investment attractiveness of the main branches of the food industry of Ukraine as a latent variable. For the first time in this area, a combination of various methods of multivariate statistical analysis is used for research (cluster analysis and factor analysis – the principal component method). These methods made it possible to use a large number of various indicators of the activities of industries to characterize investment attractiveness. As a result, the set of the branches was divided into three groupsclusters: “leaders” are the most attractive sectors for inves

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Sun, Chaoxing, Guohe Huang, and Yurui Fan. "Temporal and Spatial Characteristics of Multidimensional Extreme Precipitation Indicators: A Case Study in the Loess Plateau, China." Water 12, no. 4 (2020): 1217. http://dx.doi.org/10.3390/w12041217.

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Extreme precipitation can seriously affect the ecological environment, agriculture, human safety, and property resilience. A full-scale and scientific assessment in extreme precipitation characteristics is necessary for water resources management and providing decision-making support to mitigate the potential losses brought by extreme precipitation. In the present study, a multidimensional risk assessment framework is developed to investigate the spatial–temporal changes in different extreme precipitation indicators. The Gaussian mixture model (GMM) is applied to fit the distribution for each

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Schlör, Holger, Wolfgang Fischer, and Jürgen-Friedrich Hake. "ISD: A New Methodological Approach for Measuring the Sustainability of the German Energy System." Economics Research International 2011 (July 10, 2011): 1–10. http://dx.doi.org/10.1155/2011/428326.

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The research community has developed three main concepts and indicator systems to measure sustainability: the capital concept, the ecological concept and the multidimensional concept. Whereas a lot of research has been dedicated to the pros and cons of the three/four-pillar sustainability concept, to the shaping of the pillars and their indicators, research on standardized methods to aggregate the indicators to one index is lacking. However, a useful model exists—the GDP—which summarizes the different economic activities of various social actors in one index. An overall sustainability index ha

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Jamal, Haroon. "Assessing Poverty with Non-Income Deprivation Indicators: Pakistan, 2008-09." Pakistan Development Review 50, no. 4II (2011): 913–27. http://dx.doi.org/10.30541/v50i4iipp.913-927.

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The approach to measure poverty in terms of financial deprivation has been widely criticised in the literature of welfare and wellbeing. It is argued that to understand the complex phenomenon of poverty or to evaluate household or individual wellbeing, a multidimensional exercise is imperative. This research quantifies the level of multidimensional poverty in Pakistan using household data of Pakistan Social and Living Standard Measurement Survey. Multidimensional poverty in terms of the popular FGT (headcount, poverty gap, poverty severity) indices is estimated for the year 2009. Indicators of

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Henneh, Ofori Frimpong. "An Assessment of Multidimensional Poverty Trends in Ghana." TEXILA INTERNATIONAL JOURNAL OF ACADEMIC RESEARCH 10, no. 3 (2023): 90–107. http://dx.doi.org/10.21522/tijar.2014.10.03.art008.

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This study aims at establishing the trends in multidimensional poverty in Ghana from 2011 to 2020 using intertemporal and counting approach. Alkire and Foster methodology was applied to identify and analyse the data. The study adopted the global multidimensional poverty indicators made up of three dimensions – health, education, and standard of living – and the ten indicators of which equal weights are attached to each dimension, and the same weights for the indicators within each dimension. It was found that Ghana did very well in reducing multidimensional poverty in all the six indicators wi

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Temme, Dirk, and Adamantios Diamantopoulos. "Higher-order models with reflective indicators." Journal of Modelling in Management 11, no. 1 (2016): 180–88. http://dx.doi.org/10.1108/jm2-05-2014-0037.

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Purpose – Higher-order factor models have recently been dismissed as a ‘misleading’, ‘meaningless’, and ‘needless’ approach for modeling multidimensional constructs (Lee and Cadogan, 2013; L & C, 2013 hereafter). The purpose of this paper is to show that – in contrast to L & C’s (2013) verdict – higher-order factor models are still a legitimate operationalization option for multidimensional constructs. Design/methodology/approach – Basic conceptual and statistical premises of L & C’s (2013) arguments against higher-order factor models are scrutinized both conceptually and statistic

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Bersisa, Mekonnen, and Almas Heshmati. "A Distributional Analysis of Uni-and Multidimensional Poverty and Inequalities in Ethiopia." Social Indicators Research 155, no. 3 (2021): 805–35. http://dx.doi.org/10.1007/s11205-021-02606-w.

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AbstractThis study analyzes uni-and multidimensional poverty and inequalities in rural and small towns in Ethiopia. Unlike the unidimensional measure, the multidimensional measure of poverty shows all the channels through which poverty may manifest itself; it also shows the extent of deprivation. The analysis uses 6 dimensions with 14 indicators to construct a multidimensional index of poverty and inequalities using Ethiopian Households’ Socioeconomic Survey dataset. The study also uses multiple correspondence analyses for determining relative weights in computing a multidimensional index and

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Haunschild, Robin. "Beyond bibliometrics: Harnessing multidimensional indicators of scholarly impact." Journal of Scientometric Research 4, no. 1 (2015): 40. http://dx.doi.org/10.4103/2320-0057.156020.

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Anga, Jayvee Faust, Jonah Marie Enerlas, Kristine June Uy, and Marjurie Lourince Zanoria. "Multidimensional Poverty Indicators in light of ASEAN Integration." Recoletos Multidisciplinary Research Journal 3, no. 1 (2017): 1–23. http://dx.doi.org/10.32871/rmrj1503.01.01.

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Abdul Rasool, Mohamed Saladin, Hamidah Irpan, and Siti Mariam Ali. "ANALYSING WELLBEING USING ISLAMIC INDICATORS: A MULTIDIMENSIONAL PERSPECTIVE." Journal of Islamic Philanthropy and Social Finance 5, no. 1 (2023): 46–54. http://dx.doi.org/10.24191/jipsf/v4n12022_46-54.

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Wellbeing is an important aspect of human life. In consists of various aspects such as material (financial), relational (family) and subjective (psychological). From an Islamic perspective, wellbeing is viewed in various ways. Normally it is based on Maqasid al-Shariah principles. The objective of the present paper is to discuss wellbeing using the five dimensions or principles of Maqasid al-Shariah, namely religiosity, wealth, physical self, posterity and knowledge. Each dimension will be represented by appropriate variables. The cross-section data employs a simple systematic random sampling

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Abdul Rasool, Mohamed Saladin, Hamidah Irpan, and Siti Mariam Ali. "ANALYSING WELLBEING USING ISLAMIC INDICATORS: A MULTIDIMENSIONAL PERSPECTIVE." Journal Islamic Philanthrophy and Social Finance 4, no. 1 (2022): 46–54. https://doi.org/10.24191/jipsf.v4i1.3432.

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Wellbeing is an important aspect of human life. In consists of various aspects such as material (financial), relational (family) and subjective (psychological). From an Islamic perspective, wellbeing is viewed in various ways. Normally it is based on Maqasid al-Shariah principles. The objective of the present paper is to discuss wellbeing using the five dimensions or principles of Maqasid al-Shariah, namely religiosity, wealth, physical self, posterity and knowledge. Each dimension will be represented by appropriate variables. The cross-section data employs a simple systematic random sampling

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Gallardo, Mauricio. "Measuring Vulnerability to Multidimensional Poverty." Social Indicators Research 148, no. 1 (2019): 67–103. http://dx.doi.org/10.1007/s11205-019-02192-y.

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Abstract A method to measure vulnerability to multidimensional poverty is proposed under a mean–risk behaviour approach. We extend the unidimensional downside mean–semideviation measurement of vulnerability to poverty towards the multidimensional space by incorporating this approach into Alkire and Foster’s multidimensional counting framework. The new approach is called the vulnerability to multidimensional poverty index (VMPI), alluding to the fact that it can be used to assess vulnerability to poverty measured by the multidimensional poverty index (MPI). The proposed family of vulnerability

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Agustin, Diana, Aulia Adita Rahma, Frengky Sele, et al. "Analysis of Multidimensional Poverty Indicators in Indonesia with Association Rules." Jurnal Ekonomi Pembangunan 18, no. 2 (2020): 136. http://dx.doi.org/10.22219/jep.v18i2.14244.

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This study was conducted to find patterns of relationships between 14 multidimensional poverty indicators in Indonesia from 2015-2019. To provide a more specific description of the relationship pattern, association rules with the apriori algorithm is used as the analysis method. The preprocessing stage to transform data was carried out using fuzzy functions and data reduction with Multiple Correspondence Analysis (MCA) to support the association analysis process. The results obtained are 15 relationship patterns or rules between items from the multidimensional poverty indicator with a support

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Pereira, Inês, Ualerson Iran Peixoto, Wendell Medeiros-Leal, Morgan Casal-Ribeiro, and Régis Santos. "Multidimensional Indicators to Assess the Sustainability of Demersal Small-Scale Fishery in the Azores." Sustainability 14, no. 24 (2022): 16585. http://dx.doi.org/10.3390/su142416585.

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The Azorean demersal fishery sector is one of the most important in the archipelago. As a small-scale fishery, it plays an important role in the livelihood of the community, being a source of employment and income, and contributing to poverty alleviation. Because fisheries are a complex system, a multidisciplinary approach that includes socioeconomic indicators is required for a broader assessment of fishery sustainability. This study analyzes the Azorean bottom longline fishery using the Fishery Performance Indicators tool, regarding its ecology, economy, and community indicators. The finding

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Altintas, Tugba. "Grouping OECD Countries According to Better Life Index Indicators by Multidimensional Scaling Analysis." Cognizance Journal of Multidisciplinary Studies 2, no. 12 (2022): 18–22. http://dx.doi.org/10.47760/cognizance.2022.v02i12.003.

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The aim of this study is to group OECD countries using the better life index indicators through multidimensional scaling analysis. The Better Life Index consists of thirty-three variables under the dimensions of material living conditions (income and wealth, work and earnings, housing conditions) and quality of life (health status, work-life balance, education and skills, social connections, civic engagement and governance, environmental quality, personal safety and life satisfaction). These thirty-three indicators constitute the variables of the multidimensional scaling analysis. As a result

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Abdullah, Fahad Bin, Rizwan Iqbal, Sadique Ahmad, Mohammed A. El-Affendi, and Pardeep Kumar. "Optimization of Multidimensional Energy Security: An Index Based Assessment." Energies 15, no. 11 (2022): 3929. http://dx.doi.org/10.3390/en15113929.

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This study introduces Pakistan’s multidimensional energy security index (PMESI) and indices across dimensions from 1991 to 2020 through indicator optimization. Based on criteria, expert participation, and reliability testing, 27 indicators were identified and weighted based on dimension reduction utilizing the Varimax Rotation technique. As a result of robust evaluation framework, there has been a considerable change in Pakistan’s energy security when compared to other studies such as the energy security indicator of Pakistan (ESIP) and the energy security index of Pakistan (ESIOP). According

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Zhu, Shilian. "Multidimensional Relative Poverty of Farmers in Tibetan Areas – Based on a Data Analysis on Micro Surveys." Proceedings of Business and Economic Studies 4, no. 6 (2021): 84–90. http://dx.doi.org/10.26689/pbes.v4i6.2866.

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In 2020, the issue of absolute poverty has been solved, and China is building a well-off society in an all-round way. The issue of relative poverty is an important content of poverty reduction. Based on a survey data from Danba County in October 2020, this paper uses the AF method to calculate the incidence of multidimensional poverty and the multidimensional poverty index. The results showed that 44.65% of the farmers have multidimensional deprivation of any three indicators of relative poverty, and 2.79% of the farmers have serious multidimensional deprivation; the incidence of one-dimension

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., Muhsimin, Nyoto Nyoto Santoso, and Hariyadi . "STATUS KEBERLANJUTAN PENGELOLAAN EKOSISTEM MANGROVE DI WILAYAH PESISIR DESA AKUNI KECAMATAN TINANGGEA KABUPATEN KONAWE SELATAN Sustainability Management Status of Mangrove Ecosystem in Coastal Area of Akuni Village District of Tinanggea, South Konawe." Journal of Tropical Silviculture 9, no. 1 (2018): 44–52. http://dx.doi.org/10.29244/j-siltrop.9.1.44-52.

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This study aims to analyze the sustainability status of mangrove ecosystem management in coastal areas of Akuni Village by integrating all interests in multidimensional (ecological, economic, social, and institutional) and determining sensitive indicators in sustainability management of mangrove ecosystem. The method used in this study was Rapid Appraisal for Fisheries (RAPFISH) based on multidimensional scaling (MDS). The results showed that the multidimensional sustainability status of mangrove ecosystem management in coastal area of Akuni Village was less sustainable (46.67%); Ecological di

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Susanto, Dedy, and Titis Setya Wulandari. "Multidimensional Poverty: Identification of Deprivation Characteristics of Papua's Population Poverty in 2020." Indonesian Journal of Planning and Development 6, no. 2 (2021): 56–66. http://dx.doi.org/10.14710/ijpd.6.2.56-66.

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Papua is a growing province with rich potential yet has the highest rate of poverty and lowest rank of HDI in Indonesia. As poverty has been measured limited on monetary alone, anti-poverty programs and policies have become limited. Although the first goal of the SDGs clearly states that poverty is a multidimensional problem. Thus, measuring multidimensional poverty in Papua is needed. This study uses a multidimensional poverty formulation (MPI) with the 2019 Seychelles framework compiled by OPHI and the Seychelles National Bureau of Statistics in four dimensions: Decent Living Standards, Heal

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Ji, Zuzhen, Hongxin Su, Yuchen Wang, Yi Cao, and Shuanghua Yang. "Assessing the Risk of Hazards with Multidimensional Consequences for Industrial Processes." Processes 10, no. 6 (2022): 1145. http://dx.doi.org/10.3390/pr10061145.

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Risk assessment plays an important role in process safety. The result of the assessment is used to determine risk priorities and then develop preventions to reduce risks. A hazard may have multidimensional consequences, including loss of health and safety, asset loss, and environmental damage. Traditionally, these multidimensional consequences are often measured disjointedly. A comprehensive risk assessment would be conducted by many professionals from multiple areas. Each of these professionals uses different indicators to evaluate risks. The poor integration among risk indicators further con

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Jiang, Renyan, and Binbin Xiong. "A hybrid approach for modelling multidimensional degradation processes." IOP Conference Series: Materials Science and Engineering 1207, no. 1 (2021): 012023. http://dx.doi.org/10.1088/1757-899x/1207/1/012023.

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Abstract Degradation processes are often multidimensional. Modeling such degradation processes needs to address two key issues: indicator fusion and degradation model selection; and they have been separately addressed in the literature. This paper proposes a hybrid approach to jointly address these two issues. The proposed approach first fuses multiple degradation indicators into a composite degradation indicator. This fusion step involves data normalization, aggregation model selection and determination of indicator weights. After the fusion step, the problem becomes one-dimensional, and the

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Kurabatalli, Hemashree, and Dr S. V. Hanagodimath. "Association Of Infrastructure With Development Indicators." International Journal of Research in Social Sciences & Humanities 15, no. 1 (2025): 69–78. https://doi.org/10.37648/ijrssh.v15i01.009.

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Infrastructure development is increasingly recognized as a key driver of inclusive economic growth and human development. This paper investigates the empirical relationship between the Composite Infrastructure Index (CII) and critical development indicators—namely per capita income, infant mortality rate (IMR), literacy rate, Human Development Index (HDI), and the Multidimensional Poverty Index (MPI)—across Indian states for the years 2011 and 2021. Drawing on national and international evidence, the study highlights how both economic and social infrastructure significantly influence developme

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Lim, Jin Ho, YoungJoon Youn, Yoonho Cho, Mijung Kim, and Mirim Park. "A comparative study on the use of indicator and index in the performance evaluation of multidimensional youth competence building project: The case of WVK’s Burundi project." Korea Association of International Development and Cooperation 15, no. 4 (2023): 85–102. http://dx.doi.org/10.32580/idcr.2023.15.4.85.

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Purpose: This study examines how 'indicator' and 'index' are applied differently through the case of actual project, and what the pros and cons of each are. Based on this study, implications for effective use of indicator and index are derived. Originality: In order to effectively evaluate multidimensional coucomes such as poverty and human competence, it is necessary to use a index rather than a single indicator. Accordingly, there is an urgent need for various investigations of the use of multidimensional preformance index. Methodology: The performance evaluation of the 'Burundi

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Raza, Faiza, and Noman Arshed. "Macroeconomic determinants of multidimensional risk of Islamic banks across the world." Journal of Management Info 9, no. 3 (2023): 384–401. http://dx.doi.org/10.31580/jmi.v9i3.2681.

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Banking system crises and bank failures can have painful impacts. Being an Islamic Bank is riskier than being a conventional bank. As IBIs risk management emphasizes risk-sharing, conventional banks transfer their risk to borrowers. In our study, we have taken 4 risk factors which are Rate of Return Risk, Operational Risk, Credit Risk and Liquidity Risk, as a proxy of all the risks faced by IBIs and developed a Composite Risk Index using these major risk indicators of Islamic banks. Further, this study has proposed indicators like Size1 for liquid assets and Size2 for fixed assets, as in Islam

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Yang, Zhengyin, and Jeongwan Shin. "An Analysis of the Development of the Multidimensional Poverty of the Chinese Children: Using the China Family Panel Studies Data 2012-2018." Korean Development Economics Association 31, no. 1 (2025): 83–119. https://doi.org/10.20464/kdea.2025.31.1.3.

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This study examines the trends in multidimensional child poverty in China from 2012 to 2018 using data from the China Family Panel Studies(CFPS). To determine multidimensional poverty, five dimensions and ten indicators were established and the Alkire-Foster (AF) method was used in analyzing. The study categorizes Chinese children into urban children, rural children, and left-behind children. The results indicate that multidimensional poverty has improved across all child groups, with left-behind children being the most exposed to multidimensional poverty, followed by rural children and urban

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Nikitin, V. V., and D. V. Bobin. "Principal Component Analysis for Weighted Data in the Procedure of Multidimensional Statistical Forecasting." Statistics and Economics 18, no. 2 (2021): 4–11. http://dx.doi.org/10.21686/2500-3925-2021-2-4-11.

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Purpose of the research. Let’s assume that the dynamics of the state of some object is being investigated. Its state is described by a system of specified indicators. Among them, some may be a linear combination of other indicators. The aim of any forecasting procedure is to solve two problems: first, to estimate the expected forecast value, and second, to estimate the confidence interval for possible other forecast values. The prediction procedure is multidimensional. Since the indicators describe the same object, in addition to explicit dependencies, there may be hidden dependencies among th

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Göçeri, Kadir, and Selçuk Koç. "Building a Technological Change Index for Developed and Developing Countries: A New Multidimensional Measure." Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 12, no. 1 (2025): 306–28. https://doi.org/10.30798/makuiibf.1532315.

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In the economics literature, many indicators are used as proxy variables for technological change. However, most of these indicators generally overlook the complex and multidimensional nature of technological change. In this context, we develop a new composite indicator by applying multivariate statistical methods to determine the level of technological development. This new index, called the Technological Change Index (TCI), reflects various dimensions of technology, including infrastructure, access and use, innovation, and impact. It has been calculated using 13 normalized indicators. Each i

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Prado, Antonio F. B. A. "Study of the multidimensional academic ranking U-Multirank." Estudos em Avaliação Educacional 34 (December 21, 2023): e09117. http://dx.doi.org/10.18222/eae.v34.9117.

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The present paper explores the dimensions and indicators of the international multidimensional academic ranking U-Multirank. Studying this ranking is important in Brazil today, as the new evaluation of graduate programs in the country is incorporating several aspects of multidimensional evaluation, including concepts from U-Multirank. This ranking reveals the strengths and weaknesses of each academic institution through 5 dimensions formed by 36 indicators. While this large set of dimensions and indicators provides a comprehensive view of universities, it raises questions regarding their indep

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Albert, Fruzsina, and Gábor Hajdu. "Association between poverty indicators and social relations." Journal of Poverty and Social Justice 28, no. 3 (2020): 401–23. http://dx.doi.org/10.1332/175982720x15966472176159.

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We analyse the association between poverty indicators and social relations using nationally representative data from Hungary. We focus on four poverty indicators (the three standard indicators of Eurostat and perceived financial problems) and a rich set of social relationship indicators (18 variables). Material deprivation is the most strongly linked to the measures of social ties and social integration, whereas income poverty is associated the least strongly with them. Although income poverty is probably the most widely used poverty indicator, our results suggest that material deprivation and

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Biegun, Krzysztof, and Jacek Karwowski. "Macroeconomic imbalance procedure (MIP) scoreboard indicators and their predictive strength of “multidimensional crises”." Equilibrium 15, no. 1 (2020): 11–28. http://dx.doi.org/10.24136/eq.2020.001.

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Research background: The evaluation of the predictive strength of MIP indicators in relation to crises is extremely important for the process of coordinating the economic policies of the EU countries. MIP is one of the pillars of the economic crisis prevention procedure. Predictive power of individual indicators has not been tested before their introduction. Purpose of the article: Evaluation of the predictive strength of fourteen MIP indicators in relation to multidimensional crises in the EU countries. Methods: We used ordered probit model to test the ability of MIP indicators to

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Jiménez-Andrade, Jose Luis, Yohannis Martí-Lahera, and Humberto Carrillo Calvet. "Neural longitudinal mapping of multidimensional performance profiles of Latin American universities." Iberoamerican Journal of Science Measurement and Communication 4, no. 1 (2024): 1–16. http://dx.doi.org/10.47909/ijsmc.92.

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Objective. To introduce an artificial intelligence method and to use it to analyze the evolution of the multidimensional performance profiles of the most prominent Latin American universities, according to the Times Higher Education Latin America University Rankings. Design/Methodology/Approach. To multidimensionally characterize universities' performance profiles, we use the rankings' sub-scores indicators, which quantify five dimensions of academic endeavor assessed by this ranking. To automatically compare and visually analyze performance profile's evolution our method uses an artific

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Varsei, Mohsen, Claudine Soosay, Behnam Fahimnia, and Joseph Sarkis. "Framing sustainability performance of supply chains with multidimensional indicators." Supply Chain Management: An International Journal 19, no. 3 (2014): 242–57. http://dx.doi.org/10.1108/scm-12-2013-0436.

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Purpose – This paper aims to provide a framework which can assist focal companies in the development of sustainable supply chains. Sustainable development from an industrial perspective has extended beyond organisational boundaries to incorporate a supply chain approach. Design/methodology/approach – The literature related to sustainable supply chain management is reviewed by incorporating concepts from four organisational theories, including the resource-based, institutional, stakeholder and social network perspectives, to illustrate key drivers and enablers of sustainability initiatives in t

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Falcone, Maurizio, Giulio Paolucci, and Silvia Tozza. "Multidimensional smoothness indicators for first-order Hamilton-Jacobi equations." Journal of Computational Physics 409 (May 2020): 109360. http://dx.doi.org/10.1016/j.jcp.2020.109360.

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Phat, Huynh Dinh. "Indicators used in measuring poverty under the multidimentional approach: a case study in Quang Ngai province." Science & Technology Development Journal - Economics - Law and Management 4, no. 2 (2020): First. http://dx.doi.org/10.32508/stdjelm.v4i2.624.

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Since the concept of multidimensional poverty was initiated in Sen’s works, coupled with the national database providing increasingly complete information on meeting the basic needs of the society, the measurement and evaluation of multidimensional poverty have become popular and attracted the attention of many researchers. The multidimensional poverty line can be based on indicators that are not related to incomes or expenditures. However, it includes other dimensions such as the lack of basic social services. Hence, measuring and implementing poverty reduction policies under the multidimensi

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CHEN, Dengkai, Yao XIAO, Jianghao XIAO, Yao ZHOU, and Cong YANG. "Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 42, no. 6 (2024): 1078–88. https://doi.org/10.1051/jnwpu/20244261078.

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The availability of civil aircraft cockpit display interface is related to pilot's satisfaction as well as flight safety and efficiency, but current indicator system in this field lacks target-oriented focus. Firstly, in this paper, the flight mission, pilots' senses, pilots' cognition, and flight interaction dimensions are obtained by executive process interactive control model(EPIC), and extracted usability indicators from these dimensions. Secondly, to tackle the problem of filtering multidimensional indicator datasets supported by small samples, an indicator clustering reduction algorithm

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