At present, the rapid development of digital finance is closely related to the economic development of urban agglomerations. An urban agglomeration provides conditions for digital finance to form a spatial relevancy network. Exploring the development of digital finance in the urban agglomeration of the Pearl River Delta (PRD), which is the bellwether of China's economy, can provide important practical experience for the economic construction of coastal areas and even the whole country. In this study, using the urban digital finance index issued by the Guangzhou Institute of International Finance, we measured the intensity and direction of the spatial relevancy of digital finance in the PRD urban agglomeration by applying the gravity model, modified in the calculation of distance between cities. Then, we examined the influencing factors of the spatial network of digital finance through the quadratic assignment procedure (QAP) approach. The achieved results are as follows. First, although the overall density is low, the network is tightly connected and stable. Second, in terms of individual characteristics of the network, Guangzhou, Shenzhen, Foshan still play the leading roles in the spatial network of digital finance. Third, the digital finance network does not have bidirectional spillover block. The links between segments are relatively loose. Fourth, economic level, degree of opening up, Internet level and geographical location are important factors in driving the formation of spatial relevancy of digital finance in the PRD urban agglomeration.
Citation: Yi Chen, Benhuan Nie, Zhehao Huang, Changhong Zhang. Spatial relevancy of digital finance in the urban agglomeration of Pearl River Delta and the influence factors[J]. Electronic Research Archive, 2023, 31(8): 4378-4405. doi: 10.3934/era.2023224
At present, the rapid development of digital finance is closely related to the economic development of urban agglomerations. An urban agglomeration provides conditions for digital finance to form a spatial relevancy network. Exploring the development of digital finance in the urban agglomeration of the Pearl River Delta (PRD), which is the bellwether of China's economy, can provide important practical experience for the economic construction of coastal areas and even the whole country. In this study, using the urban digital finance index issued by the Guangzhou Institute of International Finance, we measured the intensity and direction of the spatial relevancy of digital finance in the PRD urban agglomeration by applying the gravity model, modified in the calculation of distance between cities. Then, we examined the influencing factors of the spatial network of digital finance through the quadratic assignment procedure (QAP) approach. The achieved results are as follows. First, although the overall density is low, the network is tightly connected and stable. Second, in terms of individual characteristics of the network, Guangzhou, Shenzhen, Foshan still play the leading roles in the spatial network of digital finance. Third, the digital finance network does not have bidirectional spillover block. The links between segments are relatively loose. Fourth, economic level, degree of opening up, Internet level and geographical location are important factors in driving the formation of spatial relevancy of digital finance in the PRD urban agglomeration.
[1] | Y. Liu, J. Liu, L. Zhang, Enterprise financialization and R & D innovation: A case study of listed companies in China, Electron. Res. Arch., 31 (2023), 2447–2471. https://doi.org/10.3934/era.2023124 doi: 10.3934/era.2023124 |
[2] | S. Inna, B. Yana, H. Ruslan, The compliance of the regional development strategies and funding with the sustainable development concept: The case of Ukraine, Green Finance, 4 (2022), 159–178. https://doi.org/10.3934/gf.2022008 doi: 10.3934/gf.2022008 |
[3] | Q. Song, J. Li, Y. Wu, Z. Yin, Accessibility of financial services and household consumption in China: evidence from micro data, North Am. J. Econ. Finance, 53 (2020), 101213. https://doi.org/10.1016/j.najef.2020.101213 doi: 10.1016/j.najef.2020.101213 |
[4] | Z. Li, J. Zhu, J. He, The effects of digital financial inclusion on innovation and entrepreneurship: A network perspective, Electron. Res. Arch., 30 (2022), 4697–4715. https://doi.org/10.3934/era.2022238 doi: 10.3934/era.2022238 |
[5] | Y. Liu, P. Failler, Y. Ding, Enterprise financialization and technological innovation: Mechanism and heterogeneity, PLoS ONE, 17 (2022), e0275461. https://doi.org/10.1371/journal.pone.0275461 doi: 10.1371/journal.pone.0275461 |
[6] | Z. Li, B. Mo, H. Nie, Time and frequency dynamic connectedness between cryptocurrencies and financial assets in China, Int. Rev. Econ. Finance, 86 (2023), 46–57. https://doi.org/10.1016/j.iref.2023.01.015 doi: 10.1016/j.iref.2023.01.015 |
[7] | Z. Li, L. Chen, H. Dong, What are bitcoin market reactions to its-related events, Int. Rev. Econ. Finance, 73 (2021), 1–10. https://doi.org/10.1016/j.iref.2020.12.020 doi: 10.1016/j.iref.2020.12.020 |
[8] | S. Gammage, A. Kes, L. Winograd, N. Sultana, S. Hiller, S. Bourgault, Gender and Digital Financial Inclusion: What Do We Know and What Do We Need to Know, International Center for Research on Women, Washington, DC, USA, 2017. |
[9] | J. He, Q. Li, Can online social interaction improve the digital finance participation of rural households, China Agric. Econ. Rev., 12 (2020), 295–313. https://doi.org/10.1108/CAER-11-2019-0213 doi: 10.1108/CAER-11-2019-0213 |
[10] | Z. Huang, H. Dong, S. Jia, Equilibrium pricing for carbon emission in response to the target of carbon emission peaking, Energy Econ., 112 (2022), 106160. https://doi.org/10.1016/j.eneco.2022.106160 doi: 10.1016/j.eneco.2022.106160 |
[11] | Z. Li, Z. Huang, Y. Su, New media environment, environmental regulation and corporate green technology innovation: Evidence from China, Energy Econ., 119 (2023), 106545. https://doi.org/10.1016/j.eneco.2023.106545 doi: 10.1016/j.eneco.2023.106545 |
[12] | T. Li, J. Wen, D. Zeng, K. Liu, Has enterprise digital transformation improved the efficiency of enterprise technological innovation? A case study on Chinese listed companies, Math. Biosci. Eng., 19 (2022), 12632–12654. https://doi.org/10.3934/mbe.2022590 doi: 10.3934/mbe.2022590 |
[13] | Y. Liu, C. Ma, Z. Huang, Can the digital economy improve green total factor productivity? An empirical study based on Chinese urban data, Math. Biosci. Eng., 20 (2023), 6866–6893. https://doi.org/10.3934/mbe.2023296 doi: 10.3934/mbe.2023296 |
[14] | D. Radcliffe, R. Voorhies, A digital pathway to financial inclusion, SSRN Electronic Journal, 2012. |
[15] | J. Zhu, Z. Li, Can digital financial inclusion effectively stimulate technological Innovation of agricultural enterprises?—A case study on China, Natl. Account. Rev., 3 (2021), 398–421. https://doi.org/10.3934/NAR.2021021 doi: 10.3934/NAR.2021021 |
[16] | A. Demirguc-Kunt, L. Klapper, D. Singer, Financial inclusion and inclusive growth: A review of recent empirical evidence, Policy Research Working Paper Series, (2017), 1–27. |
[17] | D. Gabor, S. Brooks, The digital revolution in financial inclusion: international development in the fintech era, New Political Econ., 22 (2016), 423–436. https://doi.org/10.1080/13563467.2017.1259298 doi: 10.1080/13563467.2017.1259298 |
[18] | Z. Li, C. Yang, Z. Huang, How does the fintech sector react to signals from central bank digital currencies, Finance Res. Lett., 50 (2022), 103308 https://doi.org/10.1016/j.frl.2022.103308 doi: 10.1016/j.frl.2022.103308 |
[19] | P. Ozili, Impact of digital finance on financial inclusion and stability, Borsa Istanbul Rev., 18 (2018), 329–340. https://doi.org/10.1016/j.bir.2017.12.003 doi: 10.1016/j.bir.2017.12.003 |
[20] | S. Gottschalk, Digital currency price formation: A production cost perspective, Quant. Finance Econ., 6 (2022), 669–695. https://doi.org/10.3934/QFE.2022030 doi: 10.3934/QFE.2022030 |
[21] | K. Lauer, T. Lyman, Digital Financial Inclusion: Implications for Customers, Regulators, Supervisors, and Standard-Setting Bodies, Consultative Group to Assist the Poor, Washington, DC, USA, 2015. |
[22] | Z. Li, H. Chen, B. Mo, Can digital finance promote urban innovation? Evidence from China, Borsa Istanbul Rev., 23 (2022), 285–296. https://doi.org/10.1016/j.bir.2022.10.006 doi: 10.1016/j.bir.2022.10.006 |
[23] | C. Fang, Important progress and future direction of studies on China's urban agglomerations, J. Geogr. Sci., 25 (2015), 1003–1024. https://doi.org/10.1007/s11442-015-1216-5 doi: 10.1007/s11442-015-1216-5 |
[24] | C. Fang, D. Yu, Urban agglomeration: An evolving concept of an emerging phenomenon, Landscape Urban Plann., 162 (2017), 126–136. https://doi.org/10.1016/j.landurbplan.2017.02.014 doi: 10.1016/j.landurbplan.2017.02.014 |
[25] | Y. Liu, P. Failler, Z. Liu, Impact of environmental regulations on energy efficiency: A case study of China's air pollution prevention and control action plan, Sustainability, 14 (2022), 3168. https://doi.org/10.3390/su14063168 doi: 10.3390/su14063168 |
[26] | Y. Liu, L. Chen, L. Lv, F. Pierre, The impact of population aging on economic growth: a case study on China, AIMS Math., 8 (2023), 10468–10485. https://doi.org/10.3934/math.2023531 doi: 10.3934/math.2023531 |
[27] | J. Manyika, S. Lund, M. Singer, O. White, C. Berry, Digital Finance for All: Powering Inclusive Growth in Emerging Economies, McKinsey Global Institute, San Francisco, CA, USA, 2016. |
[28] | Y. Ji, L. Shi, S. Zhang, Digital finance and corporate bankruptcy risk: Evidence from China, Pac. Basin Finance J., 72 (2022), 101731. https://doi.org/10.1016/j.pacfin.2022.101731 doi: 10.1016/j.pacfin.2022.101731 |
[29] | J. Deng, Y. Liu, Does digital finance reduce the employment in the finance industry? Evidence from China, Finance Res, Lett., 48 (2022), 102994. https://doi.org/10.1016/j.frl.2022.102994 doi: 10.1016/j.frl.2022.102994 |
[30] | J. Li, Y. Wu, J. Xiao, The impact of digital finance on household consumption: Evidence from China, Econ. Modell., 86 (2020), 317–326. https://doi.org/10.1016/j.econmod.2019.09.027 doi: 10.1016/j.econmod.2019.09.027 |
[31] | Y. Sun, X. Tang, The impact of digital inclusive finance on sustainable economic growth in China, Finance Res. Lett., 50 (2022), 103234. https://doi.org/10.1016/j.frl.2022.103234 doi: 10.1016/j.frl.2022.103234 |
[32] | T. Li, J. Ma, Does digital finance benefit the income of rural residents? A case study on China, Quant. Finance Econ., 5 (2021), 664–688. https://doi.org/10.3934/qfe.2021030 doi: 10.3934/qfe.2021030 |
[33] | X. Wang, J. Guan, Financial inclusion: Measurement, spatial effects and influencing factors, Appl. Econ., 49 (2017), 1751–1762. https://doi.org/10.1080/00036846.2016.1226488 doi: 10.1080/00036846.2016.1226488 |
[34] | Y. Shen, C. Hueng, W. Hu, Measurement and spillover effect of digital financial inclusion: A cross-country analysis, Appl. Econ. Lett., 28 (2021), 1738–1743. https://doi.org/10.1080/13504851.2020.1853663 doi: 10.1080/13504851.2020.1853663 |
[35] | X. Liu, J. Zhu, J. Guo, C. Cui, Spatial association and explanation of China's digital financial inclusion development based on the network analysis method, Complexity, 2021 (2021), 6649894. https://doi.org/10.1155/2021/6649894 doi: 10.1155/2021/6649894 |
[36] | H. Dong, M. Du, X. Zhou, Spatial temporal differentiation and dynamic evolution of digital finance inclusive development in the Yangtze River Delta economic cluster of China, Mobile Inf. Syst., 2022 (2022). https://doi.org/10.1155/2022/5470373 |
[37] | Y. Li, H. Long, J. Ouyang, Digital financial inclusion, spatial spillover, and household consumption: Evidence from China, Complexity, 2022 (2022). https://doi.org/10.1155/2022/8240806 |
[38] | J. Ma, Z. Li, Measuring China's urban digital economy, Natl. Account. Rev., 4 (2022), 329–361. https://doi.org/10.3934/nar.2022019 doi: 10.3934/nar.2022019 |
[39] | M. Sarma, Index of Financial Inclusion, Indian Council for Research on International Economic Relations New Delhi Working Papers, 2008. |
[40] | D. Ambarkhane, A. S. Singh, B. Venkataramani, Developing a comprehensive financial inclusion index, SSRN Electronic Journal, 2014. |
[41] | M. André, A. Goran, M. Alexander, Assessing countries' financial inclusion standing—A new composite index, J. Banking Financ. Econ., 2 (2017), 105–126. https://doi.org/10.7172/2353-6845.jbfe.2017.2.5 doi: 10.7172/2353-6845.jbfe.2017.2.5 |
[42] | I. Inyang, E. Omini, F. Bekun, A composite measure of financial inclusion in Nigeria (1992–2019): A principal component analysis approach, SSRN Electronic Journal, 2020. |
[43] | P. Khera, S. Ng, S. Ogawa, R. Sahay, Measuring digital financial inclusion in emerging market and developing economies: a new index, Asian Econ. Policy Rev., 17 (2022), 213–230. https://doi.org/10.1111/aepr.12377 doi: 10.1111/aepr.12377 |
[44] | Y. Xu, T. Li, Measuring digital economy in China, Natl. Account. Rev., 4 (2022), 251–272. https://doi.org/10.3934/NAR.2022015 doi: 10.3934/NAR.2022015 |
[45] | G. Liao, Z. Li, M. Wang, K. Albitar, Measuring China's urban digital finance, Quant. Finance Econ., 6 (2022), 385–404. https://doi.org/10.3934/qfe.2022017 doi: 10.3934/qfe.2022017 |
[46] | F. Allen, A. Demirguc-Kunt, L. Klapper, M. S. Martinez Peria, The foundations of financial inclusion: Understanding ownership and use of formal accounts, J. Financ. Intermediation, 27 (2016), 1–30. https://doi.org/10.1016/j.jfi.2015.12.003 doi: 10.1016/j.jfi.2015.12.003 |
[47] | L. Appleyard, Community development finance institution (CDFIs): Geographies of financial inclusion in the US and UK, Geoforum, 42 (2011), 250–258. https://doi.org/10.1016/j.geoforum.2010.09.004 doi: 10.1016/j.geoforum.2010.09.004 |
[48] | S. R. Chakravarty, R. Pal, Financial inclusion in India: An axiomatic approach, J. Policy Model., 35 (2013), 813–837. https://doi.org/10.1016/j.jpolmod.2012.12.007 doi: 10.1016/j.jpolmod.2012.12.007 |
[49] | O. Kabakova, E. Plaksenkov, Analysis of factors affecting financial inclusion: Ecosystem view, J. Bus. Res., 89 (2018), 198–205. https://doi.org/10.1016/j.jbusres.2018.01.066 doi: 10.1016/j.jbusres.2018.01.066 |
[50] | C. Haddad, L. Hornuf, The emergence of the global fintech market: Economic and technological determinants, Small Bus. Econ., 53 (2019), 81–105. https://doi.org/10.1007/s11187-018-9991-x doi: 10.1007/s11187-018-9991-x |
[51] | J. W. Schindler, FinTech and financial innovation: Drivers and depth, FEDS Working Paper, 2017. https://doi.org/10.17016/feds.2017.081 |