Impact of Climate on Food Security in Mainland China: A New Perspective Based on Characteristics of Major Agricultural Natural Disasters and Grain Loss

Guo, Jingpeng; Mao, Kebiao; Zhao, Yinghui; Lü, Zhong; Lü, Xiaoping

doi:10.3390/su11030869

Cited by 28 publications

(21 citation statements)

References 50 publications

(126 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To maintain the consistency of grain, disaster, and economy indicators, we chose 2019 for the spatial coupled correlation characterization analysis of the GDE multilayer network. In the gravity model, the grain data includes grain production and the areas sown for grain crops [10], the disaster data includes the areas affected by all disasters as well as the areas of crop failure [44], and the economic data includes per capita GDP and per capita disposable income [3]. All the above data are from the "China Statistical Yearbook", the "China Rural Statistical Yearbook", and annual provincial data from the National Bureau of Statistics website.…”

Section: Datamentioning

confidence: 99%

New Insight into the Coupled Grain–Disaster–Economy System Based on a Multilayer Network: An Empirical Study in China

Jun-li

Wang

et al. 2022

IJGI

View full text Add to dashboard Cite

Natural disasters occur frequently causing huge economic losses and reduced grain production. Therefore, it is important to thoroughly explore the spatial correlations between grain, disaster, and the economy. Based on inter-provincial panel data in China in 2019, this study integrates complex network and co-occurrence theory into a coupled grain–disaster–economy (GDE) multilayer network, which provides a new perspective to further explore the spatial correlation between these three systems. We identify the spatial coupled characteristics of the GDE multilayer network using three aspects: degree, centrality, and community detection. The research results show the following: (1) Provinces in the major grain-producing regions have a stronger role in allocating and controlling grain resources, and the correlation between grain and disasters in these provinces is stronger and more prone to disasters. Whereas provinces in the Beijing–Tianjin–Hebei economic zone, and the Yangtze River Delta and Pearl River Delta economic zones, such as Beijing, Tianjin, Jiangsu, Shanghai, and Zhejiang, have a high level of economic development, thereby a stronger ability to allocate economic resources. (2) The economic subsystem assumes a more important, central role compared with the grain and disaster subsystems in the formation and development of the coupled GDE multilayer network, with a stronger coordination for the co-development between the complex grain, disaster, and economy systems in the nodal provinces of the network. (3) The community modularity of the coupled GDE multilayer network is significantly higher than that of the three single-layer networks, indicating a more reasonable community division after coupling the three subsystems. The identification of the spatial characteristics of GDE using multilayer network analysis offers a new perspective on taking various measures to improve the joint sustainable development of grain, disaster, and the economy in different regions of China according to local conditions.

show abstract

Section: Datamentioning

confidence: 99%

New Insight into the Coupled Grain–Disaster–Economy System Based on a Multilayer Network: An Empirical Study in China

Jun-li

Wang

et al. 2022

IJGI

View full text Add to dashboard Cite

show abstract

“…Taking the unit price of soybeans in China and the United States as an example, the average unit price of US soybeans in 2010 -2018 was 2.12 Yuan/kg, and the unit price of Chinese soybeans was 3. 42 Yuan/kg [11]. The average unit price of Chinese soybeans is 1.6 times that of the United States (see Fig.…”

Section: Chinese Soybean Planting and Import And Export Changesmentioning

confidence: 99%

China's Grain Trade Research Based on DEA model of National Food Security Perspective: Soybean as an Example

Lyu

Sun

2021

Teh. vjesn.

View full text Add to dashboard Cite

Food is a special commodity that is related to the national economy and people's livelihood and has strategic significance. It is an important factor in the national security strategy. Therefore, grain trade not only has the strategic characteristics of safeguarding national economic security, but also has the strategic characteristics of stabilizing national political security. At present, Chinese three main staples, rice, corn, and wheat are self-sufficient. However, Chinese soybean production has declined rapidly, and its external dependence has increased significantly. It is the most vulnerable part of the national food security strategy. This paper proposes the DEA model to analyze the soybean situation in China. The current situation of Chinese soybean production and supply can no longer guarantee the realization of the first specific goal of food security. Chinese soybeans are highly dependent on the international market, and China has no pricing power. Chinese soybean problem may bring a food crisis under the invisible control of big countries. In view of the new characteristics of Sino-US relations and the long-term nature of Sino-US competition and cooperation in the near future, it is necessary for China to examine the impact that soybeans may have on national food security. China needs to make an early plan to deal with the possible soybean crisis.

show abstract

“…A warmer world is expected to have higher temperature variability, which will result in more drought events 5 . For example, China has experienced several severe drought events for past several decades, which profoundly affected the water resources and vegetation growth, and consequently brought greater challenges to agricultural development and water-energy-food security 6 , 7 . Drought has destructive impacts on crop yields in China, especially in plain regions with thriving agricultural development, which has caused great economic losses 8 , 9 .…”

Section: Introductionmentioning

confidence: 99%

Assessment of vegetation growth and drought conditions using satellite-based vegetation health indices in Jing-Jin-Ji region of China

Jiang

Liang

Zhao

et al. 2021

Sci Rep

View full text Add to dashboard Cite

Terrestrial vegetation growth activity plays pivotal roles on regional development, which has attracted wide attention especially in water resources shortage areas. The paper investigated the spatiotemporal change characteristics of vegetation growth activity using satellite-based Vegetation Health Indices (VHIs) including smoothed Normalized Difference Vegetation Index (SMN), smoothed Brightness Temperature (SMT), Vegetation Condition Index (VCI), Temperature Condition Index (TCI) and VHI, based on 7-day composite temporal resolution and 16 km spatial resolution gridded data, and also estimated the drought conditions for the period of 1982–2016 in Jing-Jin-Ji region of China. The Niño 3.4 was used as a substitution of El Niño Southern Oscillation (ENSO) to reveal vegetation sensitivity to ENSO using correlation and wavelet analysis. Results indicated that monthly SMN has increased throughout the year especially during growing season, starts at approximate April and ends at about October. The correlation analysis between SMN and SMT, SMN and precipitation indicated that the vegetation growth was affected by joint effects of temperature and precipitation. The VCI during growing season was positive trends dominated and vice versa for TCI. The relationships between VHIs and drought make it possible to identify and quantify drought intensity, duration and affected area using different ranges of VHIs. Generally, the intensity and affected area of drought had mainly decreased, but the trends varied for different drought intensities, regions and time periods. Large-scale global climate anomalies such as Niño 3.4 exerted obvious impacts on the VHIs. The Niño 3.4 was mainly negatively correlated to VCI and positively correlated to TCI, and the spatial distributions of areas with positive (negative) correlation coefficients were mainly opposite. The linear relationships between Niño 3.4 and VHIs were in accordance with results of nonlinear relationships revealed using wavelet analysis. The results are of great importance to assess the vegetation growth activity, to monitor and quantify drought using satellite-based VHIs in Jing-Jin-Ji region.

show abstract

Impact of Climate on Food Security in Mainland China: A New Perspective Based on Characteristics of Major Agricultural Natural Disasters and Grain Loss

Cited by 28 publications

References 50 publications

New Insight into the Coupled Grain–Disaster–Economy System Based on a Multilayer Network: An Empirical Study in China

New Insight into the Coupled Grain–Disaster–Economy System Based on a Multilayer Network: An Empirical Study in China

China's Grain Trade Research Based on DEA model of National Food Security Perspective: Soybean as an Example

Assessment of vegetation growth and drought conditions using satellite-based vegetation health indices in Jing-Jin-Ji region of China

Contact Info

Product

Resources

About