粮食安全及其驱动因素的多元分析

Q2 Economics, Econometrics and Finance Agris On-line Papers in Economics and Informatics Pub Date : 2024-03-30 DOI:10.7160/aol.2024.160108
Michaela Soóki, Zuzana Poláková, Jozef Palkovič, Kristína Beňovičová
{"title":"粮食安全及其驱动因素的多元分析","authors":"Michaela Soóki, Zuzana Poláková, Jozef Palkovič, Kristína Beňovičová","doi":"10.7160/aol.2024.160108","DOIUrl":null,"url":null,"abstract":"The main objective of the presented paper was the analysis of the current state of food security in the world, segmentation of 100 selected countries and determination of its main driving factors. The analysis used 27 indicators covering 5 basic areas: agricultural production, poverty, demography, economic development, and environmental indicators. The analysis was based on data from the FAO and World Bank for the most recent available period, which was year 2020. The data dimension was reduced with the application of factor analysis, and the main driving factors of food sufficiency were determined. The result was 6 factors: technological development, economic development, agricultural production, environmental factor, and physical quality of life and environment. To group similar countries in terms of selected indicators, a cluster analysis was performed, whereby countries were grouped by similarity into three clusters. The 1st cluster consisted of the most economically developed countries, where only 2.54% of the population suffers from malnutrition. The countries in this cluster were characterized by high levels of economic development, high caloric intake of the population, and high, life expectancy. On the other hand, they recorded negative development in demographic indicators such as fertility and birth rates. The 2nd cluster included the poorest areas of the African continent, which were most endangered by direct food insufficiency (23.74% of the population). In contrast to the first cluster, these countries were characterized by low levels of economic development, high prices, and low-calorie intakes of the population, as well as low life expectancy, while on the other hand, these countries had high fertility and birth rates. The third largest cluster consisted of countries with a medium threat of food insufficiency, where 6.37% of the population suffers from malnutrition. The countries in the third cluster excelled in terms of crop and livestock production volumes, but in contrast to this, they achieved lower levels of fat, protein, and calorie intake of population.","PeriodicalId":38587,"journal":{"name":"Agris On-line Papers in Economics and Informatics","volume":"59 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multivariate Analysis of Food Security and Its Driving Factors\",\"authors\":\"Michaela Soóki, Zuzana Poláková, Jozef Palkovič, Kristína Beňovičová\",\"doi\":\"10.7160/aol.2024.160108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main objective of the presented paper was the analysis of the current state of food security in the world, segmentation of 100 selected countries and determination of its main driving factors. The analysis used 27 indicators covering 5 basic areas: agricultural production, poverty, demography, economic development, and environmental indicators. The analysis was based on data from the FAO and World Bank for the most recent available period, which was year 2020. The data dimension was reduced with the application of factor analysis, and the main driving factors of food sufficiency were determined. The result was 6 factors: technological development, economic development, agricultural production, environmental factor, and physical quality of life and environment. To group similar countries in terms of selected indicators, a cluster analysis was performed, whereby countries were grouped by similarity into three clusters. The 1st cluster consisted of the most economically developed countries, where only 2.54% of the population suffers from malnutrition. The countries in this cluster were characterized by high levels of economic development, high caloric intake of the population, and high, life expectancy. On the other hand, they recorded negative development in demographic indicators such as fertility and birth rates. The 2nd cluster included the poorest areas of the African continent, which were most endangered by direct food insufficiency (23.74% of the population). In contrast to the first cluster, these countries were characterized by low levels of economic development, high prices, and low-calorie intakes of the population, as well as low life expectancy, while on the other hand, these countries had high fertility and birth rates. The third largest cluster consisted of countries with a medium threat of food insufficiency, where 6.37% of the population suffers from malnutrition. The countries in the third cluster excelled in terms of crop and livestock production volumes, but in contrast to this, they achieved lower levels of fat, protein, and calorie intake of population.\",\"PeriodicalId\":38587,\"journal\":{\"name\":\"Agris On-line Papers in Economics and Informatics\",\"volume\":\"59 5\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agris On-line Papers in Economics and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7160/aol.2024.160108\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agris On-line Papers in Economics and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7160/aol.2024.160108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

摘要

本文的主要目的是分析世界粮食安全现状,对 100 个选定国家进行细分,并确定其主要驱动因素。分析使用了 27 项指标,涵盖 5 个基本领域:农业生产、贫困、人口、经济发展和环境指标。分析依据的是粮农组织和世界银行提供的最新数据,即 2020 年的数据。应用因子分析法缩小了数据维度,并确定了粮食充足的主要驱动因素。结果得出 6 个因素:技术发展、经济发展、农业生产、环境因素以及生活和环境的实际质量。为了根据所选指标对相似国家进行分组,我们进行了聚类分析,根据相似程度将国家分为三组。第一组由经济最发达的国家组成,这些国家只有 2.54%的人口营养不良。该组国家的特点是经济发展水平高、人口热量摄入高、预期寿命长。另一方面,这些国家的生育率和出生率等人口指标却出现了负增长。第二组包括非洲大陆最贫穷的地区,这些地区受直接粮食不足的危害最大(占人口的 23.74%)。与第一组国家相比,这些国家的特点是经济发展水平低、物价高、人口热量摄入低以及预期寿命低,但另一方面,这些国家的生育率和出生率却很高。第三大组包括粮食不充足威胁中等的国家,这些国家有 6.37% 的人口营养不良。第三组国家在农作物和牲畜产量方面表现突出,但与此相反,其人口的脂肪、蛋白质和卡路里摄入量却较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Multivariate Analysis of Food Security and Its Driving Factors
The main objective of the presented paper was the analysis of the current state of food security in the world, segmentation of 100 selected countries and determination of its main driving factors. The analysis used 27 indicators covering 5 basic areas: agricultural production, poverty, demography, economic development, and environmental indicators. The analysis was based on data from the FAO and World Bank for the most recent available period, which was year 2020. The data dimension was reduced with the application of factor analysis, and the main driving factors of food sufficiency were determined. The result was 6 factors: technological development, economic development, agricultural production, environmental factor, and physical quality of life and environment. To group similar countries in terms of selected indicators, a cluster analysis was performed, whereby countries were grouped by similarity into three clusters. The 1st cluster consisted of the most economically developed countries, where only 2.54% of the population suffers from malnutrition. The countries in this cluster were characterized by high levels of economic development, high caloric intake of the population, and high, life expectancy. On the other hand, they recorded negative development in demographic indicators such as fertility and birth rates. The 2nd cluster included the poorest areas of the African continent, which were most endangered by direct food insufficiency (23.74% of the population). In contrast to the first cluster, these countries were characterized by low levels of economic development, high prices, and low-calorie intakes of the population, as well as low life expectancy, while on the other hand, these countries had high fertility and birth rates. The third largest cluster consisted of countries with a medium threat of food insufficiency, where 6.37% of the population suffers from malnutrition. The countries in the third cluster excelled in terms of crop and livestock production volumes, but in contrast to this, they achieved lower levels of fat, protein, and calorie intake of population.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Agris On-line Papers in Economics and Informatics
Agris On-line Papers in Economics and Informatics Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
2.20
自引率
0.00%
发文量
28
期刊介绍: The international journal AGRIS on-line Papers in Economics and Informatics is a scholarly open access, blind peer-reviewed by two reviewers, interdisciplinary, and fully refereed scientific journal. The journal is published quarterly on March 30, June 30, September 30 and December 30 of the current year by the Faculty of Economics and Management, Czech University of Life Sciences Prague. AGRIS on-line Papers in Economics and Informatics covers all areas of agriculture and rural development: -agricultural economics -agribusiness -agricultural policy and finance -agricultural management -agriculture''s contribution to rural development -information and communication technologies -information and database systems -e-business and internet marketing -ICT in environment -GIS, spatial analysis and landscape planning The journal provides a leading forum for an interaction and research on the above-mentioned topics of interest. The journal serves as a valuable resource for academics, policy makers and managers seeking up-to-date research on all areas of the subject. The journal prefers scientific papers by international teams of authors who deal with problems concerning the focus of our journal in the world-wide scope with relation to Europe.
期刊最新文献
Optimizing IoT Data Aggregation: Hybrid Firefly-Artificial Bee Colony Algorithm for Enhanced Efficiency in Agriculture Aid, Domestic Governance, and Agricultural Growth in Developing Countries The Impact of Information and Communication Technology (ICT) on Pesticides Use of Potato Farmers in Indonesia Are Organic Farms Less Efficient? The Case of Estonian Dairy Farms Multivariate Analysis of Food Security and Its Driving Factors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1