Risk evaluation of the grain supply chain in China

Deng, Xiangzheng; Han, Ze; Xie, Wei; Wang, Guoxia; Zhe, Fan

doi:10.1080/13675567.2021.2009450

Cited by 4 publications

(1 citation statement)

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“…Each factor has a different impact on the construction of the digital countryside, some of which may be positive while others may be negative, and their degrees of impact are different. The entropy method can avoid the subjectivity caused by the expert scoring method [22], reflect the nature of each parameter and its contribution to the comprehensive index, amplify the influence of different parameters, and objectively reflect the internal differences between the data through weights. Zhao et al [23] used the entropy method to measure the construction of a digital countryside in Zhejiang, China.…”

Section: Entropy Methodsmentioning

confidence: 99%

Exploring the Level and Influencing Factors of Digital Village Development in China: Insights and Recommendations

2023

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Digital rural construction is an important strategy for rural revitalization. In order to improve the precision of digital rural measurement, a set of evaluation indicators for digital rural construction was devised in this study. The study uses the entropy method, kernel density estimation and system clustering to quantify the level of China’s digital rural construction, as well as the Tobit test and other techniques. From the perspective of time series evolution, the construction of digital villages grew continuously, with a peak in 2020. After that, the speed of digital village construction slowed down slightly because of economic changes in both domestic and international environments. In terms of dynamic evolution, the core density curve of China’s digital rural construction shifted to the right between 2011 and 2021, accompanied by gradient influence and a multipolar development trend; local general budget revenue, the per capita disposable income of rural residents, rural infrastructure investment, computer ownership per 100 rural residents, added value of primary industry, education level, and rural power generation are some of the factors that affect the development level of China’s digital countryside. This study is helpful in understanding the influencing aspects of China’s digital rural construction, thereby facilitating the formation of suitable digital rural development strategies in various regions depending on the real scenario.

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Section: Entropy Methodsmentioning

confidence: 99%

Exploring the Level and Influencing Factors of Digital Village Development in China: Insights and Recommendations

2023

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Changes in China’s food security driven by nutrition security and resource constraints

Han

Zheng

Hou

et al. 2023

Environ Dev Sustain

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Food security and the utilization of natural resources in a sustainable manner are vital to the expansion of China's agricultural system. The relationship between environmental pressure and dietary structure has influenced the quantity and spatial distribution of China's food supply and demand, but it has not been evaluated. Our research centered on the security of China's food nutrition–resources–food (NRF) system, considering the inherent relationship between food security, nutritional health, and resource security. The following are the study's findings: (1) The Chinese population is rapidly changing from a diet focused on grains to a more diverse diet. Between 1990 and 2019, the dietary quality and nutritional status of Chinese individuals have vastly improved. In terms of nutrient levels, discrepancies between urban and rural resident persist, with urban residents consuming a diet that is closer to the ideal structure. However, the structure of rural residents' food consumption is diversifying, and the gap between urban and rural residents is gradually narrowing. (2) From 2000 to 2019, the pressure, status, and response indices of China's NRF system all show an upward trend, and the security of the NRF system has steadily grown. The magnitude of change in the response index exceeded that of the state index, which exceeded that of the pressure index. This indicates that the increase in the pressure and state indices of the NRF system was primarily attributable to the effectiveness of policy efforts.

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