MARC details
| 000 -LEADER |
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| fixed length control field |
02492nam a2200241Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MX-MdCICY |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250625162426.0 |
| 040 ## - CATALOGING SOURCE |
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| Transcribing agency |
CICY |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
B-19181 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250602s9999 xx |||||s2 |||| ||und|d |
| 245 10 - TITLE STATEMENT |
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| Title |
Sustainable Development Goals: A cluster analysis of worldwide countries |
| 490 0# - SERIES STATEMENT |
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| Volume/sequential designation |
Environment, Development and Sustainability, 24(6), p.8593-8624, 2022 |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
In 2015, the United Nations introduced the 2030 Agenda, which sets out Sustainable Development Goals (SDGs)for building a sustainable future. The main objective of this study is to classify worldwide countries in terms of Sustainable Development Goals progress in order to understand key implementation challenges, define the gaps between countries and identify priorities for action. 110 countries were included in the analysis. The SDG progress data used in the data analysis phase were gathered from the Sustainable Development Report 2019. To classify countries, the K-Means method, which is a non-hierarchical cluster analysis technique, was used. After constructing homogeneous groups of countries, each cluster was examined based on the socioeconomic and politico-cultural structure of the countries. The results of the cluster analysis show that the countries can be classified into 5 clusters. The countries in each cluster have substantially similar characteristics, not only in terms of progress on the SDGs, but also in terms of socioeconomic and politico-cultural structure. In general, the clusters with a more advanced socioeconomic structure and a better politico-cultural structure tend to have superior SDGs progress. Socioeconomic and politico-cultural indicators are positively related to most of the SDGs indices. This study provides crucial guidance to identify each country's achievements, challenges, needs, strengths and weaknesses in terms of progress on the SDGs. In addition, the empirical results of the study also show the importance of the superior socioeconomic and politico-cultural structure in reaching SDGs. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
SUSTAINABLE DEVELOPMENT |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
SUSTAINABLE DEVELOPMENT GOALS |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
CLUSTER ANALYSIS |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
SOCIOECONOMIC STRUCTURE |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
POLITICO-CULTURAL STRUCTURE |
| 700 12 - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Çaglar, M. |
| 700 12 - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Gürler, C. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://drive.google.com/file/d/18hs-1211VE65mlF6Uk854Va-86GEZGUu/view?usp=drivesdk">https://drive.google.com/file/d/18hs-1211VE65mlF6Uk854Va-86GEZGUu/view?usp=drivesdk</a> |
| Public note |
Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Clasificación local |
| Koha item type |
Documentos solicitados |
