Open Access
| Issue |
E3S Web Conf.
Volume 677, 2025
The 3rd International Conference on Disaster Mitigation and Management (3rd ICDMM 2025)
|
|
|---|---|---|
| Article Number | 10003 | |
| Number of page(s) | 8 | |
| Section | Food Security, Risk, and Response for Disaster | |
| DOI | https://doi.org/10.1051/e3sconf/202567710003 | |
| Published online | 12 December 2025 | |
- R. Engler-Stringer, Food security. in Encyclopedia of Quality of Life and Well-Being Research, F. Maggino, Ed., 2559–2561 (Springer International Publishing, New Jersey, 2023) https://doi.org/10.1007/978-3-031-17299-1_1073 [Google Scholar]
- J. Clapp, W. G. Moseley, B. Burlingame, and P. Termine, Viewpoint: The case for a six-dimensional food security framework. Food Pol. 106, 102164, (2022) https://doi.org10.1016/j.foodpol.2021.102164 [Google Scholar]
- Z. Ahmed, A. Kadir, R. Alam, Hafiz-Al-Rezoan, and Md. A. H. Laskor, The impact of staple crop price instability and fragmented policy on food security and sustainable development: A case study from Bangladesh. Discov. Sus. 6(1), 79 (2025) https://doi.org/10.1007/s43621-025-00878-7 [Google Scholar]
- O. O. Olaoye, U. U. Okorie, O. O. Eluwole, and M. B. Fawwad, Government spending shocks and economic growth: Additional evidence from cyclical behavior of fiscal policy. JEAS 37(4), 419–437 (2021) https://doi.org/10.1108/JEAS-01-2020-0003 [Google Scholar]
- A. Samal, M. Ummalla, and P. Goyari, The impact of macroeconomic factors on food price inflation: an evidence from India. Futur. Bus. J. 8(1), 15 (2022) https://doi.org/10.1186/s43093-022-00127-7 [Google Scholar]
- X. Zhu and X. Yu, Food inflation and macroeconomic dynamics in the US: Evidence from an estimated DSGE model. Fin. Res. Let. 75, 106895 (2025) https://doi.org/10.1016/j.frl.2025.106895 [Google Scholar]
- D. Devianto, R. Saputra, M. Yollanda, M. Maiyastri, Y. Asdi, D. Permana, and E. T. Herdiani, The BVAR model for analyzing CO2 emissions on renewable energy, economic growth, and forest area. Emerg. Sci. J.. 9(3), 1158–1173 (2025) https://doi.org/10.28991/ESJ-2025-09-03-02 [Google Scholar]
- D. Devianto, M. Yollanda, S. Maryati, Maiyastri, Y. Asdi, and E. Wahyuni, The Bayesian vector autoregressive model as an analysis of the government expenditure shocks while the covid-19 pandemic to macroeconomic factors. J. of Op. Inn. 9(4), 100156 (2023) https://doi.org/10.1016/j.joitmc.2023.100156 [Google Scholar]
- X. Li and J. Yuan, DeepTVAR: Deep learning for a time-varying VAR model with extension to integrated VAR. Int. J. of For. 40(3), 1123–1133 (2024) https://doi.org/10.1016/j.ijforecast.2023.10.001 [Google Scholar]
- J. M. B. Haslbeck, L. F. Bringmann, and L. J. Waldorp, A tutorial on estimating time-varying vector autoregressive models. Multivariate Behavioral Research 56(1), pp. 120–149, (2021) https://doi.org/10.1080/00273171.2020.1743630 [Google Scholar]
- H. Yang, Y. Cao, Y. Shi, Y. Wu, W. Guo, H. Fu, and Y. Li, The dynamic impacts of weather changes on vegetable price fluctuations in Shandong Province, China: An analysis based on VAR and TVP-VAR models. Agronomy 12(11), 2680 (2022) https://doi.org/10.3390/agronomy12112680 [Google Scholar]
- S. H. Kang, F. Islam, and A. Kumar Tiwari, “The dynamic relationships among CO2 emissions, renewable and non-renewable energy sources, and economic growth in India: Evidence from time-varying Bayesian VAR model. Stru. Cha. and Econ. Dyn. 50, 90–101 (2019) https://doi.org/10.1016/j.strueco.2019.05.006 [Google Scholar]
- P. Li, H. Zhang, Y. Yuan, and A. Hao, Time-varying impacts of carbon price drivers in the EU ETS: A TVP-VAR analysis. Front. Environ. Sci. 9, 651791 (2021) https://doi.org/10.3389/fenvs.2021.651791 [Google Scholar]
- B. S. Siepe, C. Sander, M. Schultze, A. Kliem, S. Ludwig, U. Hegerl, and H. Reich, Time-varying network models for the temporal dynamics of depressive symptomatology in patients with depressive disorders: Secondary analysis of longitudinal observational data,” JMIR Ment. Health 11, e50136 (2024) https://doi.org/10.2196/50136 [Google Scholar]
- L. Fu, X. Tu, and D. Yuan, The time-varying dynamic impact of US renewable energy prices on agricultural prices in China: the case of fuel ethanol. Environ. Sci. Pollut. Res. 31(24), 35412–35428 (2024) https://doi.org/10.1007/s11356-024-33480-x [Google Scholar]
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