Previous Articles    

Revealing Spatial Spillover Effect in High-Tech Industry Agglomeration from a High-Skilled Labor Flow Network Perspective

WANG Chen1,2, WANG Lu3, XUE Yanbo3, LI Ruiqi4   

  1. 1. School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China;
    2. The Institute of Low Carbon Operations Strategy for Beijing Enterprises, University of Science and Technology Beijing, Beijing 100083, China;
    3. Career Science Lab, Boss Zhipin, Beijing 100028, China;
    4. UrbanNet Lab, College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
  • Received:2021-03-02 Revised:2021-04-04 Published:2022-06-20
  • Supported by:
    This paper was supported by the National Natural Science Foundation of China under Grant No. 61720106010.

WANG Chen, WANG Lu, XUE Yanbo, LI Ruiqi. Revealing Spatial Spillover Effect in High-Tech Industry Agglomeration from a High-Skilled Labor Flow Network Perspective[J]. Journal of Systems Science and Complexity, 2022, 35(3): 839-859.

Understanding the high-tech industrial agglomeration from a spatial-spillover perspective is essential for cities to gain economic and technological competitive advantages. Along with rapid urbanization and the development of fast transportation networks, socioeconomic interactions between cities have been ever-increasing, traditional spatial metrics are not enough to describe actual inter-city connections. High-skilled labor flow between cities strongly influences the high-tech industrial agglomeration, yet receives less attention. By exploiting unique large-scale datasets and tools from complex network and data mining, the authors construct an inter-city high-skilled labor flow network, which was integrated into spatial econometric models. The regression results indicate that spatial-spillover effects exist in the development of high-tech industries in the Yangtze River Delta Urban Agglomeration region. Moreover, the spatial-spillover effects are stronger among cities with a higher volume of high-skilled labor flows than among cities with just stronger geographic connections. Additionally, the authors investigate the channels for the spillover effects and discover that inadequate local government expenses on science and technology likely hamper the high-tech industrial agglomeration, so does the inadequate local educational provision. The increasing foreign direct investments in one city likely encourages the high-tech industrial agglomeration in other cities because of the policy inertia toward traditional industries.
[1] Li R, Dong L, Zhang J, et al., Simple spatial scaling rules behind complex cities, Nature Communications, 2017, 8:1841
[2] Zhang R, Sun B, and Liu M, Do external technology sourcing and industrial agglomeration successfully facilitate an increase in the innovation performance of high-tech industries in China?, IEEE Access, 2019, 7:15414-15423.
[3] Hong J, Feng B, Wu Y, et al., Do government grants promote innovation efficiency in China's high-tech industries?, Technovation, 2016, 57:4-13.
[4] Audretsch B, Agglomeration and the location of innovative activity, Oxford Review of Economic Policy, 1998, 14(2):18-29.
[5] Li L, Hong X, and Peng K, A spatial panel analysis of carbon emissions, economic growth and high-technology industry in China, Structural Change and Economic Dynamics, 2019, 49:83-92.
[6] Ning L, Wang F, and Li J, Urban innovation, regional externalities of foreign direct investment and industrial agglomeration:Evidence from Chinese cities, Research Policy, 2016, 45(4):830-843.
[7] Li R, Wang W, and Di Z, Effects of human dynamics on epidemic spreading in Cote d'Ivoire. Physica A-Statistical Mechanics and its Applications, 2017, 467:30-40.
[8] You W and Lv Z, Spillover effects of economic globalization on CO2 emissions:A spatial panel approach, Energy Economics, 2018, 73:248-257.
[9] Brockmann D and Helbing D, The hidden geometry of complex, network-driven contagion phenomena. Science, 2013, 342(6164):1337-1342.
[10] Park J, Wood IB, Jing E, et al., Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters, Nature Communications, 2019, 10:3449.
[11] DaVanzo J, Does unemployment affect migration?Evidence from micro data, The Review of Economics and Statistics, 1978, 504-514.
[12] Ao M, Industrial agglomeration, labor mobility and industrial transfer, Southwest University, 2016.(in Chinese)
[13] Boschma R, Eriksson RH, and Lindgren U, Labor market externalities and regional growth in Sweden:The importance of labor mobility between skill-related industries, Regional Studies, 2014, 48:1669-1690.
[14] Wei Z, Han B, Han L, et al., Factor substitution, diversified sources on biased technological progress and decomposition of energy intensity in China's high-tech industry, Journal of Cleaner Production, 2019, 231:87-97.
[15] Wang B, Sun Y, and Wang Z, Agglomeration effect of CO2 emissions and emissions reduction effect of technology:A spatial econometric perspective based on China's province-level data, Journal of Cleaner Production, 2019, 204:96-106.
[16] Ng L F Y and Tuan C, Industry technology performance of manufacturing FDI:micro-level evidence from joint ventures in China, International Journal of Technology Management, 2005, 32(3-4):246-263.
[17] Hou B, Hong J, Huang H, et al., Academia-industry collaboration, government funding and innovation efficiency in Chinese industrial enterprises, Technology Analysis&Strategic Management, 2018, 31(6):692-706.
[18] Wang L, Xue Y, Chang M, et al., Macroeconomic determinants of high-tech migration in China:The case of Yangtze River Delta Urban Agglomeration, Cities, 2020, 107:102888.
[19] Wetwitoo J and Kato H, Inter-regional transportation and economic productivity:a case study of regional agglomeration economies in Japan, The Annals of Regional Science, 2017, 59(2):321-344.
[20] Pelegrïn A and Bolancè C, Regional foreign direct investment in manufacturing. Do agglomeration economies matter?, Regional Studies, 2008, 42(4):505-522.
[21] Marshall A, Principles of economics:unabridged eighth edition, Cosimo, New York, 2009.
[22] Takeda Y, Kajikawa Y, Sakata I, et al., An analysis of geographical agglomeration and modularized industrial networks in a regional cluster:A case study at Yamagata prefecture in Japan,Technovation, 2008, 28(8):531-539.
[23] Lu J and Tao Z, Trends and determinants of China's industrial agglomeration, Journal of Urban Economics, 2009, 65(2):167-180.
[24] Song Y, Lee K, Anderson W P, et al., Industrial agglomeration and transport accessibility in metropolitan Seoul, Journal of Geographical Systems, 2011, 14(3):299-318.
[25] Akkemik K A and Göksal K, Do exports explain industrial agglomeration and regional disparities in Turkey?, Journal of International Development, 2014, 26(4):471-491.
[26] Lu Y and Cao K, Spatial analysis of big data industrial agglomeration and development in China, Sustainability, 2019, 11(6):1783.
[27] Imaizumi A, Ito K, and Okazaki T, Impact of natural disasters on industrial agglomeration:The case of the Great KantoEarthquake in 1923, Explorations in Economic History, 2016, 60:52-68.
[28] Lucas R E, On the mechanics of economic development, Journal of Monetary Economics, 1988, 22(1):3-42.
[29] Berliant M, Reed R R, and Wang P, Knowledge exchange, matching, and agglomeration, Journal of Urban Economics, 2006, 60(1):69-95.
[30] Storper M and Venables A J, Buzz:face-to-face contact and the urban economy. Journal of Economic Geography, 2006, 4(4):351-370.
[31] Feldman M P and Audretsch D B, Innovation in cities, European Economic Review, 1999, 43(2):409-429.
[32] Zhu Y, Research on labor mobility, industrial transfer and urban development, Nankai University, 2010.(in Chinese).
[33] Gagliardi L, Does skilled migration foster innovative performance?Evidence from British local areas, Papers in Regional Science, 2015, 94(4):773-794.
[34] Fassio C, Montobbio F, and Venturini A, Skilled migration and innovation in European industries, Research Policy, 2019, 48(3):706-718.
[35] Heilmann C, Remittances and the migration-development nexus-Challenges for the sustainable governance of migration, Ecological Economics, 2006, 59(2):231-236.
[36] Ren D, Research on the relationship between economic agglomeration and industrial structure upgrade from the perspective of labor mobility, Shandong University, 2006.(in Chinese).
[37] Feng X, Research on the impact of labor mobility and industrial transfer on regional industrial agglomeration, Northwest Normal University, 2017.(in Chinese).
[38] Hu Q, Study on the influence of labor flow and industrial transfer on regional income gap, Northwest Normal University, 2018.(in Chinese).
[39] Batty M, The new science of cities. MIT Press, Cambridge, 2013.
[40] Dong L, Li R, Zhang J, et al., Population-weighted efficiency in transportation networks, Scientific Reports, 2018, 6:26377.
[41] Gomes O and Gubareva M, Complex systems in economics and where to find them, Journal of Systems Science and Complexity, 2021, 34(1):314-338.
[42] Wesolowski A, Qureshi T, Boni M F, et al., Impact of human mobility on the emergence of dengue epidemics in Pakistan, Proceedings of the National Academy of Sciences, 2015, 112(38):11887-11892.
[43] Xiao Z and Du X, Measurement and Convergence in Development Performance of China's Hightech Industry, Science, Technology and Society, 2017, 22(2):212-235.
[44] Shao S, Tian Z, and Yang L, High speed rail and urban service industry agglomeration:Evidence from China's Yangtze River Delta region, Journal of Transport Geography, 2017, 64:174-183.
[45] Li L and Ma Y, Spatial-temporal pattern evolution of manufacturing geographical agglomeration and influencing factors of old industrial base:A case of Jilin Province, China, Chinese Geographical Science, 2014, 25(4):486-497.
[46] LeSage J and Pace R K, Introduction to Spatial Econometrics, Chapman and Hall/CRC, Boca Raton, 2014.
[47] Elhorst JP, Spatial Econometrics, Springer, Berlin, 2014.
[48] Cliff A D and Ord J K, The problem of spatial autocorrelation, In London Papers in Regional Science (ed. by A. Scott), Pion, London, 1969, 25-55.
[49] Li R, Lu L, Cui T, et al., Assessing the attraction of cities on venture capital from a scaling law perspective, IEEE Access, 2021, 9:48052-48063.
[50] Waltert F and Felix S, Landscape amenities and local development:a review of migration, regional economic and hedonic pricing studies, Ecological Economics, 2010, 70(2):141-152.
[51] Liu Y, Huang X, and Chen W, Threshold effect of high-tech industrial scale on green development-evidence from Yangtze River Economic Belt, Sustainability, 2019, 11(5):1432.
[52] Lü L, Chen D, Ren X L, et al., Vital nodes identification in complex networks, Physics Reports, 2016, 650:1-63.
No related articles found!
Viewed
Full text


Abstract