Zhangyuan He
Biographic Data
| ID | 6580937 |
|---|---|
| NAME | Zhangyuan He |
| GIVEN NAMES | Zhangyuan |
| FAMILY NAME | He |
| SIGNATURE | HE Z |
| AFFILIATIONS | Peking University |
| ORCID | 0000-0003-2070-1819 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The dynamics of international food trade: Patterns of inequality and inequity from 1965 to 2020
By facilitating the redistribution of food resources, international food trade underpins the achievement of food security across nations. Although the trade’s impact has been widely studied, its inequality and inequity in supporting food security are often overlooked, as existing research frequently assumes a level playing field. In this study, we introduce a comprehensive index of the international food trade’s contribution to food security (CIT…
Discovering the maritime dependency of global food trade in food-deficit countries
Liquefied natural gas trade network changes and its mechanism in the context of the Russia–Ukraine conflict
Using mobile phone big data to discover the spatial patterns of rural migrant workers’ return to work in China’s three urban agglomerations in the post-Covid-19 era
Knowing how workers return to work is a key policymaking issue for economic recovery in the post-COVID-19 era. This paper uses country-wide time-series mobile phone big data (comparing monthly and annual figures), obtained between February 2019 and October 2019 and between February 2020 and October 2020, to discover the spatial patterns of rural migrant workers’ (RMWs’) return to work in China’s three urban agglomerations (UAs): the Beijing–Tianj…
Changes in the geographical distribution of global iron ore shipping flows, 2000–2019
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Changes in the geographical distribution of global iron ore shipping flows, 2000–2019
Using mobile phone big data to discover the spatial patterns of rural migrant workers’ return to work in China’s three urban agglomerations in the post-Covid-19 era
Knowing how workers return to work is a key policymaking issue for economic recovery in the post-COVID-19 era. This paper uses country-wide time-series mobile phone big data (comparing monthly and annual figures), obtained between February 2019 and October 2019 and between February 2020 and October 2020, to discover the spatial patterns of rural migrant workers’ (RMWs’) return to work in China’s three urban agglomerations (UAs): the Beijing–Tianj…
Liquefied natural gas trade network changes and its mechanism in the context of the Russia–Ukraine conflict
Discovering the maritime dependency of global food trade in food-deficit countries
The dynamics of international food trade: Patterns of inequality and inequity from 1965 to 2020
By facilitating the redistribution of food resources, international food trade underpins the achievement of food security across nations. Although the trade’s impact has been widely studied, its inequality and inequity in supporting food security are often overlooked, as existing research frequently assumes a level playing field. In this study, we introduce a comprehensive index of the international food trade’s contribution to food security (CIT…
Geography (4 works) · Economic geography (3 works) · Economics (3 works) · Business (2 works) · China (2 works) · Computer Science (2 works) · Engineering (2 works) · Global trade and economics (2 works) · International trade (2 works) · Agriculture, Land Use, Rural Development (1 works)