1,427
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Identification of international trade patterns of agricultural products: the evolution of communities and their core countries

ORCID Icon, , ORCID Icon, , , , , & show all
Pages 49-63 | Received 01 Feb 2021, Accepted 04 Sep 2022, Published online: 30 Sep 2022

References

  • Ahuja, M. S., and J. Singh. 2018. “Finding Communities in Social Networks with Node Attribute and Graph Structure Using Jaya Optimization Algorithm.” International Journal of Future Generation Communication and Networking 11 (2): 33–48. doi:10.14257/ijfgcn.2018.11.2.04.
  • Aller, C., L. Ductor, and M. J. Herrerias. 2015. “The World Trade Network and the Environment.” Energy Economics 52 (A): 55–68. doi:10.1016/j.eneco.2015.09.008.
  • Blondel, V. D., J. Guillaume, R. Lambiotte, and E. Lefebvre. 2008. “Fast Unfolding of Communities in Large Networks.” Journal of Statistical Mechanics-Theory and Experiment 2008 (10): P10008. doi:10.1088/1742-5468/2008/10/P10008.
  • Brond, F. 2018. “Territory and Trade Networks in the Small-Scale Oil-Palm Industry in Rural Ghana.” Applied Geography 100: 90–100. doi:10.1016/j.apgeog.2018.10.002.
  • Chen, B., M. Y. Hanb, K. Peng, S. L. Zhou, L. Shao, X. F. Wu, W. D. Wei, et al. 2018a. ”Global Land-Water Nexus: Agricultural Land and Freshwater Use Embodied in Worldwide Supply Chains.” The Science of the Total Environment 613: 931–943. doi:10.1016/j.scitotenv.2017.09.138.
  • Chen, Y., A. Q. Hu, K. W. Yip, J. Hu, and Z. G. Zhong. 2003. “Finding the Most Vital Node with Respect to the Number of Spanning Trees.” In International Conference on Neural Networks and Signal Processing, Nanjing, China, December 14–17.
  • Chen, B., J. S. Li, X. F. Wu, M. Y. Han, L. Zeng, Z. Li, and G. Q. Chen. 2018b. “Global Energy Flows Embodied in International Trade: A Combination of Environmentally Extended Input-Output Analysis and Complex Network Analysis.” Applied Energy 210: 98–107. doi:10.1016/j.apenergy.2017.10.113.
  • Chen, D., L. Lu, M. Shang, Y. Zhang, and T. Zhou. 2012. “Identifying Influential Nodes in Complex Networks.” Physica A-Statistical Mechanics and Its Applications 391 (4): 1777–1787. doi:10.1016/j.physa.2011.09.017.
  • Choi, S., A. Galeotti, and S. Goyal. 2017. “Trading in Networks: Theory and Experiments.” Journal of the European Economic Association 15 (4): 784–817. doi:10.1093/jeea/jvw016.
  • Clauset, A., M. Newman, and C. Moore. 2004. “Finding Community Structure in Very Large Networks.” Physical Review E 70 (62). doi:10.1103/PhysRevE.70.066111.
  • Dalin, C., M. Konar, N. Hanasaki, A. Rinaldo, and I. Rodriguez-Iturbe. 2012. “Evolution of the Global Virtual Water Trade Network.” Proceedings of the National Academy of Sciences of the United States of America 109 (16): 5989–5994. doi:10.1073/pnas.1203176109.
  • Dela Torre, D. M. G., J. Gao, and C. Macinnis-Ng. 2021. “Remote Sensing-Based Estimation of Rice Yields Using Various Models: A Critical Review.” Geo-Spatial Information Science 24 (4): 580–603. doi:10.1080/10095020.2021.1936656.
  • Dong, C., Q. Yin, K. J. Lane, Z. Yan, T. Shi, Y. Liu, and M. L. Bell. 2018. “Competition and Transmission Evolution of Global Food Trade: A Case Study of Wheat.” Physica A-Statistical Mechanics and Its Applications 509: 998–1008. doi:10.1016/j.physa.2018.06.052.
  • Ercsey-Ravasz, M., Z. Toroczkai, Z. Lakner, J. Baranyi, and V. Colizza. 2012. “Complexity of the International Agro-Food Trade Network and Its Impact on Food Safety.” Plos One 7 (5). doi:10.1371/journal.pone.0037810.
  • Fagiolo, G., J. Reyes, and S. Schiavo. 2010. “The Evolution of the World Trade Web: A Weighted-Network Analysis.” Journal of Evolutionary Economics 20 (4): 479–514. doi:10.1007/s00191-009-0160-x.
  • Gephart, J. A., and M. L. Pace. 2015. “Structure and Evolution of the Global Seafood Trade Network.” Environmental Research Letters 10 (12): 125014. doi:10.1088/1748-9326/10/12/125014.
  • Hou, W., H. Liu, H. Wang, and F. Wu. 2018. “Structure and Patterns of the International Rare Earths Trade: A Complex Network Analysis.” Resources Policy 55: 133–142. doi:10.1016/j.resourpol.2017.11.008.
  • Huang, H., M. von Lampe, and F. van Tongeren. 2011. “Climate Change and Trade in Agriculture.” Food Policy 361: S9–S13. doi:10.1016/j.foodpol.2010.10.008.
  • Ji, Q., H. Zhang, and Y. Fan. 2014. “Identification of Global Oil Trade Patterns: An Empirical Research Based on Complex Network Theory.” Energy Conversion and Management 85: 856–865. doi:10.1016/j.enconman.2013.12.072.
  • Jin, J., K. Xu, N. Xiong, Y. Liu, and G. Li. 2012. “Multi-Index Evaluation Algorithm Based on Principal Component Analysis for Node Importance in Complex Networks.” Networks 1 (3): 108–115. doi:10.1049/iet-net.2011.0013.
  • Kitsak, M., L. K. Gallos, S. Havlin, F. Liljeros, L. Muchnik, H. E. Stanley, and H. A. Makse. 2010. “Identification of Influential Spreaders in Complex Networks.” Nature Physics 6 (11): 888–893. doi:10.1038/NPHYS1746.
  • Li, F., N. Wan, B. Shi, X. Liu, and Z. Guo. 2014. “The Vulnerability Measure of Tourism Industry Based on the Perspective of ‘Environment-Structure’ Integration a Case Study of 31 Provinces in Mainland China.” Geographical Research 33 (3): 569–581. doi:10.11821/dlyj201403015.
  • Lin, X., Q. Dang, and M. Konar. 2014. “A Network Analysis of Food Flows Within the United States of America.” Environmental Science & Technology 48 (10): 5439–5447. doi:10.1021/es500471d.
  • Liu, Y., H. Gao, X. Kang, Q. Liu, R. Wang, and Z. Qin. 2015. “Fast Community Discovery and Its Evolution Tracking in Time-Evolving Social Networks.” In 2015 IEEE International Conference On Data Mining Workshop (ICDMW), 13–20. Atlantic City, NJ, USA, November 14–17. doi:10.1109/ICDMW.2015.177
  • Liu, J., Z. Ren, Q. Guo, and B. Wang. 2013. “Node Importance Ranking of Complex Networks.” Acta Physica Sinica 62 (17): 9–18. doi:10.7498/aps.62.178901.
  • Liu, Y., A. Singleton, and D. Arribas-Bel. 2019. “A Principal Component Analysis (PCA)-Based Framework for Automated Variable Selection in Geodemographic Classification.” Geo-Spatial Information Science 22 (4): 251–264. doi:10.1080/10095020.2019.1621549.
  • Liu, C., J. Xu, and H. Zhang. 2020. “Competitiveness or Complementarity? A Dynamic Network Analysis of International Agri-Trade Along the Belt and Road.” Applied Spatial Analysis and Policy 13 (2): 349–374. doi:10.1007/s12061-019-09307-5.
  • Liu, W., H. Yang, P. Ciais, M. Kummu, and A. Y. Hoekstra. 2020. “China’s Food Supply Sources Under Trade Conflict with the United States and Limited Domestic Land and Water Resources.” Earths Future 8 (3). doi:10.1029/2020EF001482.
  • Newman, M. 2003. “The Structure and Function of Complex Networks.” SIAM Review 45 (2): 167–256. doi:10.1137/S003614450342480.
  • Newman, M. 2004. “Fast Algorithm for Detecting Community Structure in Networks.” Physical Review E 69 (6). doi:10.1103/PhysRevE.69.066133.
  • Piccardi, C., and L. Tajoli. 2012. “Existence and Significance of Communities in the World Trade Web.” Physical Review E 85 (6). doi:10.1103/PhysRevE.85.066119.
  • Qiang, W., S. Niu, X. Wang, C. Zhang, A. Liu, and S. Cheng. 2020. “Evolution of the Global Agricultural Trade Network and Policy Implications for China.” Sustainability 12 (1). doi:10.3390/su12010192.
  • Ren, Z., A. Zeng, D. Chen, H. Liao, and J. Liu. 2014. “Iterative Resource Allocation for Ranking Spreaders in Complex Networks.” Europhysics Letters 106 (4): 48005. doi:10.1209/0295-5075/106/48005.
  • Serrano, M. A., and M. Boguna. 2003. “Topology of the World Trade Web.” Physical Review E 68 (12). doi:10.1103/PhysRevE.68.015101.
  • Shutters, S. T., R. Muneepeerakul, and R. Huerta-Quintanilla. 2012. “Agricultural Trade Networks and Patterns of Economic Development.” Plos One 7 (7): e39756. doi:10.1371/journal.pone.0039756.
  • Torreggiani, S., G. Mangioni, M. J. Puma, and G. Fagiolo. 2018. “Identifying the Community Structure of the Food-Trade International Multi-Network.” Environmental Research Letters 13 (5): 054026. doi:10.1088/1748-9326/aabf23.
  • Tulu, M. M., R. Hou, and T. Younas. 2017. “Finding Important Nodes Based on Community Structure and Degree of Neighbor Nodes to Disseminate Information in Complex Networks.” In 2017 3rd IEEE International Conference on Computer and Communications (ICCC), 269–273. Chengdu, China, December 13-16. doi:10.1109/CompComm.2017.8322554.
  • Wang, J. 2014. “Research on Dynamic Networks Community Structure Discovery Methods and Its Applications.” Master diss., Dalian University of Technology.
  • Wen, L., X. Zhang, and H. Wang. 2010. “Method of Synthetic Evaluation Based on the Principal Component Analysis and Entropy Weight.” In The 2010 International Conference on Computer Application and System Modeling, Taiyuan, China, October 22–24. doi: 10.1109/ICCASM.2010.5619261.
  • Xanat, V. M., K. Jiang, G. A. Barnett, and H. W. Park. 2018. “International Trade of GMO-Related Agricultural Products.” Quality & Quantity 52 (2): 565–587. doi:10.1007/s11135-017-0521-8.
  • Zhong, W., H. An, L. Shen, T. Dai, W. Fang, X. Gao, and D. Dong. 2017. “Global Pattern of the International Fossil Fuel Trade: The Evolution of Communities.” Energy 123: 260–270. doi:10.1016/j.energy.2017.02.033.
  • Zhong, L., M. Shang, X. Chen, and S. Cai. 2018. “Identifying the Influential Nodes via Eigen-Centrality from the Differences and Similarities of Structure.” Physica A-Statistical Mechanics and Its Applications 510: 77–82. doi:10.1016/j.physa.2018.06.115.
  • Zhou, Q., and A. Ismaeel. 2021. “Integration of Maximum Crop Response with Machine Learning Regression Model to Timely Estimate Crop Yield.” Geo-Spatial Information Science 24 (3): 474–483. doi:10.1080/10095020.2021.1957723.