Spatial spillover and impact factors of the internet finance development in China
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Krugman, 1991, Increasing returns and economic geography, J. Polit. Econ., 99, 483, 10.1086/261763
Krugman, 1995
Pflüger, 2004, Economic geography and public policy, J. Econ. Geogr., 4, 597, 10.1093/jnlecg/lbh045
Groenewold, 2007, Regional output spillovers in China: Estimates from a VAR model, Pap. Reg. Sci., 86, 101, 10.1111/j.1435-5957.2007.00112.x
Groenewold, 2008, Inter-regional spillovers in China: The importance of common shocks and the definition of the regions, China Econ. Rev., 19, 32, 10.1016/j.chieco.2007.10.002
Ying, 2000, Measuring the spillover effects: Some Chinese evidence, Pap. Reg. Sci., 79, 75, 10.1007/s101100050004
Tian, 2010, Spatial externalities in China regional economic growth, China Econ. Rev., 21, S20, 10.1016/j.chieco.2010.05.006
Autant-Bernard, 2011, Quantifying knowledge spillovers using spatial econometric models, J. Reg. Sci., 51, 471, 10.1111/j.1467-9787.2010.00705.x
Rho, 2014, Innovation and spillovers in China: Spatial econometric approach, Seoul J. Econ., 27, 149
Baldwin, 2001, Global income divergence, trade, and industrialization: The geography of growth take-offs, J. Econ. Growth, 6, 5, 10.1023/A:1009876310544
Acharya, 2004, Community banks and internet commerce, J. Internet Commer., 3, 23, 10.1300/J179v03n01_02
Blasques, 2016, Spillover dynamics for systemic risk measurement using spatial financial time series models, J. Econom., 195, 211, 10.1016/j.jeconom.2016.09.001
Betz, 2016, Systemic risk spillovers in the European banking and sovereign network, J. Financ. Stab., 25, 206, 10.1016/j.jfs.2015.10.006
Arbia, 2018, Modeling inter-country spatial financial interactions with graphical lasso: An application to sovereign co-risk evaluation, Reg. Sci. Urban Econ., 70, 72, 10.1016/j.regsciurbeco.2018.02.006
Liu, 2017, Features of spillover networks in international financial markets: Evidence from the G20 countries, Physica A, 479, 265, 10.1016/j.physa.2017.03.016
Shahzad, 2018, A global network topology of stock markets: Transmitters and receivers of spillover effects, Physica A, 492, 2136, 10.1016/j.physa.2017.11.132
Baumöhl, 2018, Networks of volatility spillovers among stock markets, Physica A, 490, 1555, 10.1016/j.physa.2017.08.123
Collet, 2018, Sector spillovers in credit markets, J. Bank. Financ., 94, 267, 10.1016/j.jbankfin.2018.07.011
Koutmos, 2018, Return and volatility spillovers among cryptocurrencies, Econom. Lett., 173, 122, 10.1016/j.econlet.2018.10.004
Huang, 2018, The spillover of macroeconomic uncertainty between the US and China, Econom. Lett., 171, 123, 10.1016/j.econlet.2018.07.018
Xu, 2019, Asymmetric volatility spillovers between oil and stock markets: Evidence from China and the United States, Energy Econ., 80, 310, 10.1016/j.eneco.2019.01.014
Wen, 2019, Risk spillovers between oil and stock markets: A VAR for VaR analysis, Energy Econ., 80, 524, 10.1016/j.eneco.2019.02.005
Thakor, 1999, Information technology and financial services consolidation, J. Bank. Financ., 23, 697, 10.1016/S0378-4266(98)00104-6
Brewer, 2001, E-commerce and community banking, Commer. Lend. Rev., 16
Xie, 2013, The theory of internet finance, China Econ., 8, 18
Anderson, 2006
Berger, 2009, Emergence of financial intermediaries in electronic markets: The case of online P2P lending, BuR Bus. Res. J., 2
Xie, 2016, The fundamentals of internet finance and its policy implications in China, China Econ. J., 9, 240, 10.1080/17538963.2016.1210366
Wang, 2018, From aperture satellite to Internet finance: Institutionalization of ICTs in China’s financial sector since 1991, Telecommun. Policy, 42, 566, 10.1016/j.telpol.2018.04.004
Wang, 2016, Evaluating the regulatory scheme for internet finance in China: the case of peer-to-peer lending, China Econ. J., 9, 272, 10.1080/17538963.2016.1214381
Guo, 2016, General patterns and regional disparity of internet finance development in China: Evidence from the peking university internet finance development index, China Econ. J., 9, 253, 10.1080/17538963.2016.1211383
Momparler, 2013, Efficiency in banking services: a comparative analysis of Internet-primary and branching banks in the US, Serv. Bus., 7, 641, 10.1007/s11628-012-0179-1
Srivastava, 2014, The status and impact of e-finance on developing economy, Golden Res. Thoughts, 3, 11
Qiao, 2018, The effects of the sharing economy: How does internet finance influence commercial bank risk preferences?, Emerg. Markets Finance Trade, 54, 3013, 10.1080/1540496X.2018.1481045
Wheat, 2013, Raising money for scientific research through crowdfunding, Trends Ecol. Evol., 28, 71, 10.1016/j.tree.2012.11.001
Liao, 2019, The spatial effect of the efficiency of regional financial resource allocation from the perspective of internet finance: Evidence from Chinese provinces, Emerg. Markets Finance Trade, 1
Huang, 2016, China’s personal credit reporting system in the internet finance era: challenges and opportunities, China Econ. J., 9, 288, 10.1080/17538963.2016.1209868
White, 1976, Social structure from multiple networks. I. Blockmodels of roles and positions, Am. J. Sociol., 81, 730, 10.1086/226141
Mitchell, 1980, Task force report: Social networks as mediators of social support, Community Ment. Health J., 16, 27, 10.1007/BF00780665
Cummings, 2004, Work groups, structural diversity, and knowledge sharing in a global organization, Manag. Sci., 50, 352, 10.1287/mnsc.1030.0134
Sagduyu, 2015, Search in combined social and wireless communication networks: delay and success analysis, IEEE Trans. Wirel Commun., 14, 4972, 10.1109/TWC.2015.2430857
Mehmet, 2018, The national, regional and city divide: Social media analysis of stakeholders views regarding biological controls. The public reaction to the carp control herpes virus in Australia, J. Environ. Manag., 227, 181, 10.1016/j.jenvman.2018.08.093
Wang, 2019, Privacy-preserving incentive and rewarding scheme for crowd computing in social media, Inform. Sci., 470, 15, 10.1016/j.ins.2018.07.016
Khan, 2016, Theories in communication science: a structural analysis using webometrics and social network approach, Scientometrics, 108, 531, 10.1007/s11192-015-1822-0
Wang, 2017, An identifying method of industrial essential technologies based on social network analysis: Semiconductor industry as a case, J. Intell., 4, 14
Ricardo, 2019, P-means centrality, Commun. Nonlinear Sci. Numer. Simul., 68, 41, 10.1016/j.cnsns.2018.08.002
Scott, 2013
Granger, 1969, Investigating causal relations by econometric models and cross-spectral methods, Econometrica, 424, 10.2307/1912791
Granger, 1986
Brock, 1991, Some theory of statistical inference for nonlinear science, Rev. Econom. Stud., 58, 697, 10.2307/2297828
Hiemstra, 1994, Testing for linear and nonlinear Granger causality in the stock price-volume relation, J. Finance, 49, 1639
Diks, 2006, A new statistic and practical guidelines for nonparametric Granger causality testing, J. Econom. Dynam. Control, 30, 1647, 10.1016/j.jedc.2005.08.008
Breiger, 1976, Social structure from multiple networks, Am. J. Sociol., 81, 730, 10.1086/226141
Wasserman, 1994
Pan, 2013, Regional correlation and spatial spillovers in China’s regional economic growth, Soc. Sci. China, 34, 125, 10.1080/02529203.2013.820566
Broekel, 2014, Modeling knowledge networks in economic geography: a discussion of four methods, Ann. Reg. Sci., 53, 423, 10.1007/s00168-014-0616-2
Tobler, 1970, A computer movie simulating urban growth in the Detroit region, Econ. Geogr., 46, 234, 10.2307/143141