• Acta Geographica Sinica
  • Vol. 75, Issue 2, 332 (2020)
Enpu MA1、1、2、2, Jianming CAI1、1, Jing LIN1、1, Hua GUO3、3, Yan HAN1、1、2、2, and Liuwen LIAO1、1、2、2
Author Affiliations
  • 1Key Laboratory of Regional Sustainable Development Analysis and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • 1中国科学院地理科学与资源研究所 中国科学院区域可持续发展分析与模拟重点实验室,北京 100101
  • 2School of Resources & Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • 2中国科学院大学资源与环境学院,北京 100049
  • 3Tianjin Institute of Rural Economy and Zoning Study, Tianjin Academy of Agricultural Sciences, Tianjin 300192, China
  • 3天津市农业科学院农村经济与区划研究所,天津 300192
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    DOI: 10.11821/dlxb202002009 Cite this Article
    Enpu MA, Jianming CAI, Jing LIN, Hua GUO, Yan HAN, Liuwen LIAO. Spatio-temporal evolution of global food security pattern and its influencing factors in 2000-2014[J]. Acta Geographica Sinica, 2020, 75(2): 332 Copy Citation Text show less

    Abstract

    Food security is the basic foundation in accomplishing of the overall Sustainable Development Goals (SDGs). As the objective in SDGs of "halving the proportion of hungry people by 2015" has not been achieved as scheduled, it will become more challenging to realize its final goal of zero hunger by 2030. So exploring the underlying causes of global food security pattern from perspectives of spatio-temporal evolution is badly needed. In this paper, a comprehensive evaluation method with multi-indices was applied to evaluate the food security level of 172 countries in 2000-2014 based on an established global database with country-specific time series data. Then the spatial pattern and changing characteristics of global food security by country was conducted through the spatial autocorrelation analysis. Upon this basis, the underlying factors affecting the food security pattern were further identified and analyzed with a multiple nonlinear regression method. The findings and results show that: (1) The global food security pattern can be summarized as "high-high and low-low agglomerations" of socio-economic status and food security level. The most food secure countries are mainly distributed in the regions with more advanced economy such as North America, Oceania, parts of East Asia, and Western Europe. On the contrary, the least food secure countries are mainly distributed in sub-Saharan Africa, South Asia, West Asia, and parts of Southeast Asia. (2) At 99% confidence level, Western Europe and sub-Saharan Africa are respectively the hot and cold spots in global food security landscape, while in non-aggregation areas such as Haiti and North Korea, there exist long-term food insecurity problems. (3) The spatio-temporal pattern of global food security is generally stable, but the internal changes in the extremely insecure groups are significant. The countries with the most changeable levels of food security are also the countries with the most food insecurity. (4) Annual mean temperature, per capita GDP, the proportion of people who have access to clean water, and political stability are the key factors affecting the global food security pattern. The study indicates that while the global food security situation has improved since 2000, there was a reverse sign or omen in 2013. Affected by climate change, residents' purchasing power, infrastructure condition, and political and economic stability, global food security has in fact been volatile and some areas in the world are still facing acute food security problems. In addressing this challenge, a food security strategy based on the four dimensions, i.e. food supply, food access, food use and political stability, and a worldwide rural revitalization approach, is highly recommended. Meanwhile, it is necessary to progressively introduce some diversified modes of production such as urban agriculture to build a more resilient food system in those fully urbanized regions.
    Enpu MA, Jianming CAI, Jing LIN, Hua GUO, Yan HAN, Liuwen LIAO. Spatio-temporal evolution of global food security pattern and its influencing factors in 2000-2014[J]. Acta Geographica Sinica, 2020, 75(2): 332
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