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A Novel Effective Indicator of Weighted Inter-City Human Mobility Networks to Estimate Economic Development

Author

Listed:
  • Jincheng Jiang

    (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China)

  • Jinsong Chen

    (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China)

  • Wei Tu

    (Shenzhen Key Laboratory of Spatial Smart Sensing and Service, Research Institute for Smart Cities, School of Architecture & Urban Planning, Shenzhen University, Shenzhen 518060, China)

  • Chisheng Wang

    (Shenzhen Key Laboratory of Spatial Smart Sensing and Service, Research Institute for Smart Cities, School of Architecture & Urban Planning, Shenzhen University, Shenzhen 518060, China)

Abstract

Estimation of economic development in advance is benefit to test the validity of economic policy or to take timely remedial measures for economic recession. Due to the inevitable connections between human mobility and economic status, estimation of economic trend in advance from easily observable big data in human mobility has the superiority of authenticity, timeliness, and convenience. However, high-precision quantitative relations between human mobility and economic growth remain an outstanding question. To this issue, we firstly analyzed and compared the general patterns of human mobility and economic development; then, a novel, simple, and effective hybrid human mobility indicator ( H H M I i ) of weighted human mobility networks was proposed to quantitatively estimate economic growth. H H M I i contained two parts, that is, the interaction volumes of a given city with all participation cities and only top hub cities, respectively. This implied that the economic growth of a city is affected by not only its own strength, but also the cooperation with hub cities. Several empirical experiments demonstrated that the proposed H H M I i had an exceedingly high estimation ability of economic growth, especially for the tertiary industry. Compared with other complex network indicators, H H M I i had a distinct advantage and its best accuracy reached 0.9543. These results can provide policy-making supports for inter-city sustainable coordinated development.

Suggested Citation

  • Jincheng Jiang & Jinsong Chen & Wei Tu & Chisheng Wang, 2019. "A Novel Effective Indicator of Weighted Inter-City Human Mobility Networks to Estimate Economic Development," Sustainability, MDPI, vol. 11(22), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6348-:d:286171
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    as
    1. Wu, Minna & Han, She & Sun, Mei & Han, Dun, 2018. "How the distance between regional and human mobility behavior affect the epidemic spreading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1823-1830.
    2. Borensztein, E. & De Gregorio, J. & Lee, J-W., 1998. "How does foreign direct investment affect economic growth?1," Journal of International Economics, Elsevier, vol. 45(1), pages 115-135, June.
    3. Filatotchev, Igor & Liu, Xiaohui & Lu, Jiangyong & Wright, Mike, 2011. "Knowledge spillovers through human mobility across national borders: Evidence from Zhongguancun Science Park in China," Research Policy, Elsevier, vol. 40(3), pages 453-462, April.
    4. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    5. Liu, Jin-Hu & Wang, Jun & Shao, Junming & Zhou, Tao, 2016. "Online social activity reflects economic status," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 581-589.
    6. Zhang, Hai-Tao & Zhu, Tao & Fu, Dongfei & Xu, Bowen & Han, Xiao-Pu & Chen, Duxin, 2018. "Spatiotemporal property and predictability of large-scale human mobility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 40-48.
    7. Gao, Cai & Wei, Daijun & Hu, Yong & Mahadevan, Sankaran & Deng, Yong, 2013. "A modified evidential methodology of identifying influential nodes in weighted networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(21), pages 5490-5500.
    8. Levy, Moshe, 2010. "Scale-free human migration and the geography of social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4913-4917.
    9. Xiping Yang & Zhiyuan Zhao & Shiwei Lu, 2016. "Exploring Spatial-Temporal Patterns of Urban Human Mobility Hotspots," Sustainability, MDPI, vol. 8(7), pages 1-18, July.
    10. Christine Greenhalgh & Mark Rogers, 2010. "Innovation, Intellectual Property, and Economic Growth," Economics Books, Princeton University Press, edition 1, volume 0, number 9221.
    11. Xiao-Yong Yan & Wen-Xu Wang & Zi-You Gao & Ying-Cheng Lai, 2017. "Universal model of individual and population mobility on diverse spatial scales," Nature Communications, Nature, vol. 8(1), pages 1-9, December.
    12. Stijn Claessens, 2010. "The Financial Crisis," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 4(2), pages 177-196, May.
    13. Chen, Duanbing & Lü, Linyuan & Shang, Ming-Sheng & Zhang, Yi-Cheng & Zhou, Tao, 2012. "Identifying influential nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1777-1787.
    14. Mr. Stijn Claessens & Mr. Luc Laeven & Ms. Deniz O Igan & Mr. Giovanni Dell'Ariccia, 2010. "Lessons and Policy Implications from the Global Financial Crisis," IMF Working Papers 2010/044, International Monetary Fund.
    15. A P Riascos & José L Mateos, 2017. "Emergence of encounter networks due to human mobility," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-22, October.
    16. Gao, Lan & Liu, Xiaohui & Zou, Huan, 2013. "The role of human mobility in promoting Chinese outward FDI: A neglected factor?," International Business Review, Elsevier, vol. 22(2), pages 437-449.
    17. Stijn Claessens & Giovanni Dell’Ariccia & Deniz Igan & Luc Laeven, 2010. "Cross-country experiences and policy implications from the global financial crisis [From Great Depression to Great Credit Crisis: Similarities, differences and lessons]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 25(62), pages 267-293.
    18. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    19. Zhang, Zhen & Wang, Minggang & Xu, Hua & Zhang, Wenbin & Tian, Lixin, 2018. "Research on the co-movement between high-end talent and economic growth: A complex network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1216-1225.
    20. Schwarzkopf, David L., 2014. "Identifying peer states to assess technology-based economic development," Technology in Society, Elsevier, vol. 39(C), pages 68-76.
    21. Harold Hotelling, 1936. "Simplified calculation of principal components," Psychometrika, Springer;The Psychometric Society, vol. 1(1), pages 27-35, March.
    22. Fagiolo, Giorgio & Santoni, Gianluca, 2015. "Human-mobility networks, country income, and labor productivity," Network Science, Cambridge University Press, vol. 3(3), pages 377-407, September.
    23. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    24. Edward G. Goetz & Terrence Kayser, 1993. "Competition and Cooperation in Economic Development: A Study of the Twin Cities Metropolitan Area," Economic Development Quarterly, , vol. 7(1), pages 63-78, February.
    25. Zhong, Wei & Yuan, Wei & Li, Susan X. & Huang, Zhimin, 2011. "The performance evaluation of regional R&D investments in China: An application of DEA based on the first official China economic census data," Omega, Elsevier, vol. 39(4), pages 447-455, August.
    26. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    27. Matthew D. Shapiro & David W. Wilcox, 1996. "Mismeasurement in the Consumer Price Index: An Evaluation," NBER Chapters, in: NBER Macroeconomics Annual 1996, Volume 11, pages 93-154, National Bureau of Economic Research, Inc.
    28. Weingast, Barry R, 1995. "The Economic Role of Political Institutions: Market-Preserving Federalism and Economic Development," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 11(1), pages 1-31, April.
    29. Wang, Wei & Rothschild, David & Goel, Sharad & Gelman, Andrew, 2015. "Forecasting elections with non-representative polls," International Journal of Forecasting, Elsevier, vol. 31(3), pages 980-991.
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