An analytical framework to link factors affecting agricultural trade intensity in the world: pathways to sustainable agricultural development 2030 agenda
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s10668-023-03908-4.pdf
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3. Ahmed, Z., Zhang, B., & Cary, M. (2021). Linking economic globalization, economic growth, financial development, and ecological footprint: Evidence from symmetric and asymmetric ARDL. Ecological Indicators. https://doi.org/10.1016/j.ecolind.2020.107060
4. Ahrens, A., Hansen, C. B., & Schaffer, M. E. (2020). Lassopack: Model selection and prediction with regularized regression in Stata. The Stata Journal, 20(1), 176–235. https://doi.org/10.1177/1536867X20909697
5. Alexandratos, N., & Bruinsma, J. (2012). World agriculture towards 2030/2050: The 2012 revision. FAO. https://doi.org/10.22004/ag.econ.288998
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