留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

银行互联网化、区域经营跨度与商业银行的发展——基于城商行设立直销银行的证据

王可 周亚拿 罗璇

王可, 周亚拿, 罗璇. 银行互联网化、区域经营跨度与商业银行的发展——基于城商行设立直销银行的证据[J]. 广东财经大学学报, 2022, 37(3): 49-65.
引用本文: 王可, 周亚拿, 罗璇. 银行互联网化、区域经营跨度与商业银行的发展——基于城商行设立直销银行的证据[J]. 广东财经大学学报, 2022, 37(3): 49-65.
WANG Ke, ZHOU Ya-na, LUO Xuan. Internetization of Banking, Regional Business Span and Development of Commercial Bank: Evidence from the Establishment of Direct Bank by City Commercial Bank[J]. Journal of Guangdong University of Finance & Economics, 2022, 37(3): 49-65.
Citation: WANG Ke, ZHOU Ya-na, LUO Xuan. Internetization of Banking, Regional Business Span and Development of Commercial Bank: Evidence from the Establishment of Direct Bank by City Commercial Bank[J]. Journal of Guangdong University of Finance & Economics, 2022, 37(3): 49-65.

银行互联网化、区域经营跨度与商业银行的发展——基于城商行设立直销银行的证据

基金项目: 

广东省社会科学基金青年项目 GD19YYJ01

广东省自然科学基金面上项目 2022A1515010634

详细信息
    作者简介:

    王可(1991-),男,山东济南人,广东财经大学金融学院讲师,博士

    罗璇(1995-), 女,湖南新化人,湖南科技大学研究生

    通讯作者:

    周亚拿(1993-)(通讯作者),女,山东济南人,南开大学商学院博士研究生

  • 中图分类号: F832.3

Internetization of Banking, Regional Business Span and Development of Commercial Bank: Evidence from the Establishment of Direct Bank by City Commercial Bank

  • 摘要: 以我国城市商业银行设立直销银行为例,检验区域性商业银行尝试进行互联网化的效果,并进一步对城商行跨区域经营的影响以及商业银行线上发展与线下拓展相结合的问题进行探讨。实证结果表明,设立直销银行将对城商行的存款吸收带来负向影响,但也增加了银行收益,其中前者主要体现在区域经营跨度较小的银行,后者主要体现在区域经营跨度较大的银行,且直销银行主要通过移动端而非网页端平台发挥作用。商业银行可在允许的区域范围内适当通过“线下拓展+线上渗透”的方式扩大市场并挖掘市场潜力,但相对而言,区域经营跨度较小的银行不宜盲目模仿设立同质化互联网平台。
  • 图  1  理论分析示意图

    注:简洁起见,图中未呈现区域经营跨度对银行的直接影响。

    表  1  部分城商行直销银行的设立情况

    名称 对应城商行 设立年份 名称 对应城商行 设立年份
    天空银行 湖北银行 2015 e钱庄 长沙银行 2015
    鼎融易 郑州银行 2014 壹伴客 大连银行 2017
    徽常有财 徽商银行 2015 你好银行 南京银行 2014
    金e融 江西银行 2015 风筝银行 潍坊银行 2015
    小草银行 晋城银行 2015 本溪bank 本溪银行 2017
    钱承有余 重庆银行 2017 上行快线 上海银行 2014
    新丝路bank 西安银行 2015 石银直销 石嘴山银行 2016
    恐龙银行 自贡银行 2016 起点银行 苏州银行 2017
    注:由作者手工整理得出。表 2同。
    下载: 导出CSV

    表  2  变量定义与统计

    变量名称 变量定义 均值 标准差 最小值 最大值
    depor 存款余额/总资产(%) 63.63 8.52 42.56 85.91
    ldra 贷款余额/存款余额(%) 65.79 10.65 38.97 89.80
    nim 净利息收入/贷款余额(%) 4.65 1.96 1.01 11.07
    lnnim 净利息收入(元,对数形式) 21.84 1.00 18.63 23.95
    dbank 是否设立直销银行 0.43 0.50 0 1
    georange1 银行设有分支机构的城市数 8.66 3.83 1 17
    georange2 银行是否设有跨省分支机构 0.512 0.501 0 1
    size 总资产(元,对数形式) 25.77 0.76 23.51 28.00
    car 资本充足率(%) 12.71 1.44 10.41 19.30
    nplr 不良贷款率(%) 1.58 0.58 0.05 4.11
    list 是否上市 0.10 0.30 0 1
    gov 是否国有银行 0.58 0.50 0 1
    roa 总资产收益率(%) 0.84 0.33 0.06 2.16
    lsp 第一大股东持股比例(%) 18.62 12.30 4.96 75.33
    gdp 总部所在城市GDP(元,对数形式) 26.45 0.95 24.03 28.39
    pcity 总部所在城市是否省会城市或直辖市 0.39 0.49 0 1
    west 总部所在城市是否西部地区城市 0.25 0.44 0 1
    下载: 导出CSV

    表  3  直销银行的经济效果

    变量 (1) (2) (4) (5)
    f.depor f.ldra f.nim f.lnnim
    dbank -2.981*(1.630) 2.044**(1.019) 0.676**(0.260) 0.234***(0.079)
    size -3.766**(1.701) 0.591(0.922) 0.552(0.387) 1.089***(0.088)
    car -0.278(0.426) -0.095(0.253) -0.053(0.111) -0.031(0.032)
    ldra 0.003(0.068) 0.727***(0.058) -0.044***(0.016) 0.003(0.004)
    nplr 1.260(1.491) 1.383*(0.810) 0.432(0.293) 0.106(0.094)
    list -1.551(2.728) 0.056(1.821) -0.399(0.455) -0.114(0.105)
    gov 1.911(1.447) 0.932(0.949) -0.495*(0.290) -0.129(0.108)
    roa 9.053***(3.396) 0.081(1.489) 1.772***(0.461) 0.674***(0.159)
    lsp -0.066(0.057) 0.009(0.035) -0.014(0.014) -0.003(0.003)
    gdp -0.316(1.109) -0.503(0.697) 0.587**(0.259) 0.181**(0.079)
    pcity 6.478***(2.237) -1.606(1.482) -1.117***(0.399) -0.149(0.138)
    west -1.678(3.729) -2.846(2.303) 2.623***(0.711) 0.731***(0.198)
    year YES YES YES YES
    province YES YES YES YES
    _cons 152.959***(47.631) 19.660(32.385) -23.091***(8.154) -11.547***(2.284)
    N 283 283 283 283
    R2 0.466 0.769 0.554 0.827
    VIF 4.04 4.04 4.04 4.04
    注:******分别表示在10%、5%、1%的水平下显著。下表同。
    下载: 导出CSV

    表  4  银行区域经营跨度对直销银行经济效果的影响:银行存款

    变量 (1) (2) (3) (4) (5) (6) (7) (8)
    f.depor f.depor f.ldra f.ldra f.depor f.depor f.ldra f.ldra
    跨度大 跨度小 跨度大 跨度小 跨省 不跨省 跨省 不跨省
    dbank -3.130 -8.009*** 1.450 5.018** -2.250 -4.905*** 0.309 4.342***
    (2.418) (2.666) (1.471) (2.254) (1.725) (1.717) (1.477) (1.596)
    size -2.981 -4.949* -0.590 1.639 -3.828 -6.083*** -0.479 4.689**
    (3.021) (2.645) (1.337) (1.974) (2.918) (2.070) (1.104) (1.794)
    car 0.664 -0.508 -0.272 0.368 0.044 -0.379 -0.737** 0.171
    (0.498) (0.639) (0.372) (0.369) (0.630) (0.491) (0.346) (0.368)
    ldra -0.035 0.112 0.773*** 0.510*** 0.007 0.217** 0.710*** 0.452***
    (0.107) (0.108) (0.078) (0.105) (0.111) (0.083) (0.076) (0.095)
    nplr 1.187 1.320 1.509 2.830 0.163 -1.127 2.643 3.908**
    (2.283) (2.063) (1.574) (2.097) (2.515) (1.876) (1.659) (1.623)
    list -2.429 4.304 0.411 -4.962 -1.960 -3.726* 0.316 -2.922
    (3.521) (4.463) (1.884) (4.640) (2.968) (2.149) (2.379) (2.218)
    gov 2.678 -0.895 -1.477 3.990* 2.978 -4.252** -1.625 2.560
    (2.339) (1.995) (1.604) (1.997) (2.497) (1.747) (2.159) (2.039)
    roa 9.080* 4.161 1.514 -1.586 4.679 8.801** 2.459 0.973
    (4.647) (5.232) (2.246) (2.688) (4.451) (3.845) (2.226) (2.161)
    lsp -0.100 -0.017 0.069 0.078 -0.159 -0.008 -0.027 0.066
    (0.123) (0.051) (0.067) (0.068) (0.143) (0.062) (0.054) (0.059)
    gdp 1.454 -2.293 0.158 -0.579 2.691 -4.026** 0.772 0.457
    (2.097) (1.715) (0.978) (1.777) (2.215) (1.896) (1.192) (1.290)
    pcity 4.025 7.246** -1.930 1.228 1.257 27.272*** -3.580* -8.484***
    (2.565) (3.523) (1.809) (4.125) (2.707) (3.471) (1.813) (3.045)
    west 20.619*** -14.658*** -10.130*** -1.169 9.389 -36.413*** 2.067 12.774***
    (5.740) (3.840) (3.148) (4.389) (12.685) (4.499) (4.803) (3.804)
    year YES YES YES YES YES YES YES YES
    province YES YES YES YES YES YES YES YES
    _cons 73.207 249.775*** 36.491 -5.668 77.364 315.799*** 21.013 -107.697*
    (85.031) (76.328) (42.353) (73.289) (78.859) (51.442) (48.386) (57.476)
    N 153 106 153 106 145 138 145 138
    R2 0.490 0.626 0.828 0.765 0.561 0.663 0.850 0.788
    VIF 6.24 4.06 6.24 4.06 6.00 4.60 6.00 4.60
    下载: 导出CSV

    表  5  银行区域经营跨度对直销银行经济效果的影响:银行收益

    变量 (1) (2) (3) (4) (5) (6) (7) (8)
    f.nim f.nim f.lnnim f.lnnim f.nim f.nim f.lnnim f.lnnim
    跨度大 跨度小 跨度大 跨度小 跨省 不跨省 跨省 不跨省
    dbank 1.224*** 0.301 0.350*** -0.029 1.135** 0.161 0.331** 0.063
    (0.371) (0.494) (0.109) (0.190) (0.431) (0.385) (0.130) (0.137)
    size 0.056 0.141 0.987*** 0.688*** -0.431 0.786* 0.874*** 1.158***
    (0.535) (0.678) (0.105) (0.231) (0.502) (0.413) (0.088) (0.175)
    car -0.047 -0.108 0.005 -0.085 0.059 -0.053 0.002 -0.052
    (0.109) (0.150) (0.026) (0.055) (0.130) (0.111) (0.026) (0.049)
    ldra -0.061*** -0.040 -0.004 0.009 -0.034 -0.015 0.002 0.013
    (0.018) (0.026) (0.004) (0.010) (0.023) (0.028) (0.004) (0.009)
    nplr 0.191 -0.061 0.085 -0.275 -0.438 0.416 -0.073 0.117
    (0.451) (0.707) (0.089) (0.281) (0.498) (0.538) (0.081) (0.289)
    list -0.495 0.162 -0.176 0.268 0.561 -0.501 0.019 -0.102
    (0.539) (0.958) (0.111) (0.354) (0.584) (0.625) (0.146) (0.235)
    gov 0.083 -0.963 0.073 -0.424* -0.415 -0.442 -0.050 -0.211
    (0.333) (0.591) (0.094) (0.233) (0.360) (0.546) (0.101) (0.255)
    roa 2.457*** 1.887*** 0.797*** 0.522** 2.008*** 1.843*** 0.622** 0.840**
    (0.722) (0.674) (0.175) (0.244) (0.725) (0.659) (0.263) (0.349)
    lsp -0.043 0.008 -0.010* 0.007 -0.015 -0.008 -0.006 -0.003
    (0.026) (0.020) (0.005) (0.007) (0.025) (0.019) (0.006) (0.009)
    gdp 0.398 0.356 0.179*** 0.041 0.731** 0.118 0.288*** -0.027
    (0.265) (0.342) (0.057) (0.216) (0.320) (0.303) (0.062) (0.200)
    pcity -1.108** -0.606 -0.256** 0.142 -0.728 -2.060** -0.206 -0.010
    (0.450) (0.798) (0.100) (0.409) (0.558) (0.797) (0.131) (0.447)
    west -0.619 2.835** 0.234 0.633 2.362 3.828*** 0.796* 0.726
    (0.730) (1.319) (0.202) (0.517) (1.866) (1.159) (0.440) (0.473)
    year YES YES YES YES YES YES YES YES
    province YES YES YES YES YES YES YES YES
    _cons -3.443 -6.786 -8.692*** 3.068 -2.526 -19.372 -8.839*** -8.461
    (12.877) (20.300) (2.360) (9.112) (13.149) (14.007) (2.449) (8.453)
    N 153 106 153 106 145 138 145 138
    R2 0.649 0.666 0.880 0.727 0.669 0.672 0.897 0.785
    VIF 6.24 4.06 6.24 4.06 6.00 4.60 6.00 4.60
    下载: 导出CSV

    表  6  网页端与移动端直销银行的经济效果

    因变量 (1) (2) (3) (4) (5) (6) (7) (8)
    f.depor f.ldra f.nim f.lnnim f.depor f.ldra f.nim f.lnnim
    dbank_net -0.629 0.006 0.272 0.104
    (1.628) (0.862) (0.334) (0.100)
    dbank_app -3.105* 1.753* 0.531** 0.183**
    (1.640) (1.040) (0.251) (0.080)
    size -5.169*** 1.226 0.486 1.040*** -3.962** 0.861 0.439 1.055***
    (1.621) (0.765) (0.335) (0.083) (1.644) (0.887) (0.373) (0.088)
    car -0.412 -0.140 -0.051 -0.037 -0.246 -0.145 -0.044 -0.029
    (0.395) (0.230) (0.103) (0.027) (0.411) (0.245) (0.106) (0.031)
    ldra -0.075 0.794*** -0.040*** 0.005 -0.007 0.743*** -0.048*** 0.002
    (0.074) (0.052) (0.014) (0.005) (0.066) (0.057) (0.015) (0.004)
    nplr 0.759 0.971 0.103 -0.027 1.168 1.315 0.349 0.078
    (1.576) (0.855) (0.269) (0.092) (1.505) (0.813) (0.283) (0.092)
    list -1.588 0.065 -0.253 -0.069 -1.496 0.015 -0.280 -0.080
    (2.510) (1.460) (0.445) (0.106) (2.714) (1.779) (0.461) (0.105)
    gov 2.984** 0.675 -0.500 -0.110 1.906 0.888 -0.386 -0.097
    (1.503) (0.832) (0.314) (0.114) (1.508) (0.949) (0.314) (0.112)
    roa 7.785*** -0.084 1.737*** 0.655*** 8.773** 0.119 1.766*** 0.670***
    (2.898) (1.626) (0.455) (0.166) (3.361) (1.490) (0.451) (0.157)
    lsp -0.037 -0.005 0.005 0.002 -0.052 -0.002 -0.010 -0.002
    (0.054) (0.031) (0.012) (0.003) (0.055) (0.036) (0.013) (0.003)
    gdp -0.413 -0.459 0.482* 0.153** -0.432 -0.473 0.510** 0.155*
    (1.219) (0.658) (0.255) (0.077) (1.126) (0.682) (0.253) (0.079)
    pcity 6.694*** -1.453 -0.682 0.004 7.065*** -1.781 -1.010** -0.107
    (2.316) (1.421) (0.411) (0.135) (2.252) (1.483) (0.424) (0.147)
    west -4.563 -3.525 2.634** 0.997*** -2.282 -2.577 2.356*** 0.650***
    (5.325) (3.157) (1.187) (0.359) (3.790) (2.347) (0.764) (0.207)
    year YES YES YES YES YES YES YES YES
    province YES YES YES YES YES YES YES YES
    _cons 200.761*** 0.060 -19.754** -10.119*** 161.033*** 11.562 -17.998** -9.929***
    (51.038) (29.174) (8.146) (2.937) (47.430) (31.209) (8.393) (2.530)
    N 318 318 318 318 289 289 289 289
    R2 0.504 0.782 0.518 0.844 0.475 0.770 0.529 0.815
    VIF 5.13 5.13 5.13 5.13 4.01 4.01 4.01 4.01
    下载: 导出CSV

    表  7  银行区域经营跨度对移动端直销银行经济效果的影响:银行存款

    因变量 (1) (2) (3) (4) (5) (6) (7) (8)
    f.depor f.depor f.ldra f.ldra f.depor f.depor f.ldra f.ldra
    跨度大 跨度小 跨度大 跨度小 跨省 不跨省 跨省 不跨省
    dbank_app -3.932* -7.611*** 1.154 5.244** -3.036* -4.804*** 0.379 4.418***
    (2.318) (2.434) (1.487) (2.135) (1.664) (1.652) (1.456) (1.572)
    size -3.010 -5.521* -0.449 2.434 -3.686 -6.461*** -0.490 5.126***
    (2.874) (2.912) (1.323) (1.800) (2.835) (2.085) (1.098) (1.628)
    car 0.819* -0.675 -0.330 0.368 0.105 -0.339 -0.739** 0.115
    (0.470) (0.634) (0.378) (0.371) (0.602) (0.487) (0.324) (0.370)
    ldra -0.033 0.122 0.778*** 0.526*** 0.008 0.213** 0.710*** 0.464***
    (0.105) (0.109) (0.078) (0.107) (0.108) (0.081) (0.076) (0.096)
    nplr 1.170 0.350 1.514 3.168 0.207 -1.587 2.648 4.076**
    (2.237) (2.374) (1.583) (2.094) (2.457) (1.878) (1.638) (1.566)
    list -2.337 3.060 0.474 -4.955 -1.905 -3.564 0.307 -3.179
    (3.487) (4.139) (1.853) (4.383) (2.977) (2.194) (2.372) (2.256)
    gov 2.683 -1.425 -1.576 4.168** 2.938 -4.643** -1.637 2.955
    (2.302) (2.068) (1.626) (1.976) (2.445) (1.740) (2.140) (1.897)
    roa 9.210* 4.177 1.484 -1.411 4.858 7.982** 2.451 1.311
    (4.615) (5.435) (2.253) (2.614) (4.466) (3.728) (2.240) (2.059)
    lsp -0.096 0.006 0.068 0.058 -0.150 0.012 -0.028 0.051
    (0.122) (0.065) (0.067) (0.064) (0.143) (0.066) (0.054) (0.053)
    gdp 1.615 -3.479* 0.104 -0.171 2.753 -4.377** 0.774 0.664
    (2.078) (1.914) (0.985) (1.664) (2.216) (1.888) (1.150) (1.259)
    pcity 4.562* 9.547** -1.965 0.369 1.615 27.895*** -3.627* -9.164***
    (2.545) (3.789) (1.910) (3.911) (2.610) (3.609) (1.832) (2.979)
    west 21.592*** -16.137*** -9.643*** -0.895 8.285 -36.534*** 2.404 12.957***
    (5.734) (3.897) (3.007) (4.285) (12.776) (4.598) (4.519) (3.865)
    year YES YES YES YES YES YES YES YES
    province YES YES YES YES YES YES YES YES
    _cons 66.363 296.928*** 34.348 -37.306 70.174 335.145*** 21.334 -124.508**
    (82.774) (90.091) (41.993) (66.144) (76.175) (52.741) (46.754) (50.924)
    N 153 110 153 110 147 142 147 142
    R2 0.501 0.588 0.827 0.769 0.587 0.668 0.852 0.792
    VIF 6.19 4.04 6.19 4.04 5.78 4.57 5.78 4.57
    下载: 导出CSV

    表  8  银行区域经营跨度对移动端直销银行经济效果的影响:银行收益

    因变量 (1) (2) (3) (4) (5) (6) (7) (8)
    f.nim f.nim f.lnnim f.lnnim f.nim f.nim f.lnnim f.lnnim
    跨度大 跨度小 跨度大 跨度小 跨省 不跨省 跨省 不跨省
    dbank_app 1.100*** 0.037 0.274** -0.104 0.773* -0.089 0.201 -0.016
    (0.383) (0.464) (0.113) (0.175) (0.440) (0.367) (0.133) (0.127)
    size 0.151 -0.290 1.022*** 0.538** -0.319 0.415 0.913*** 0.995***
    (0.544) (0.596) (0.114) (0.212) (0.536) (0.493) (0.103) (0.181)
    car -0.099 -0.090 -0.009 -0.086 0.050 -0.024 0.003 -0.041
    (0.106) (0.154) (0.026) (0.057) (0.123) (0.123) (0.025) (0.052)
    ldra -0.058*** -0.053** -0.003 0.006 -0.031 -0.030 0.003 0.008
    (0.018) (0.024) (0.004) (0.009) (0.023) (0.028) (0.005) (0.008)
    nplr 0.195 -0.277 0.086 -0.375 -0.385 0.127 -0.052 -0.016
    (0.450) (0.622) (0.089) (0.253) (0.513) (0.532) (0.088) (0.264)
    list -0.462 0.543 -0.159 0.357 0.549 -0.111 0.016 0.030
    (0.544) (1.002) (0.112) (0.372) (0.613) (0.586) (0.158) (0.228)
    gov 0.018 -0.730 0.048 -0.354 -0.608 -0.350 -0.116 -0.180
    (0.341) (0.575) (0.098) (0.213) (0.391) (0.556) (0.110) (0.230)
    roa 2.426*** 1.973*** 0.790*** 0.569** 1.984** 1.850*** 0.620** 0.809**
    (0.715) (0.667) (0.180) (0.243) (0.768) (0.644) (0.273) (0.330)
    lsp -0.044 0.021 -0.010* 0.011 -0.017 0.011 -0.007 0.004
    (0.026) (0.018) (0.006) (0.007) (0.026) (0.020) (0.006) (0.009)
    gdp 0.349 0.191 0.166** -0.036 0.764** -0.091 0.299*** -0.110
    (0.278) (0.392) (0.063) (0.206) (0.347) (0.322) (0.069) (0.183)
    pcity -1.177** -0.372 -0.264** 0.253 -0.814 -1.597* -0.227 0.188
    (0.454) (0.896) (0.105) (0.400) (0.560) (0.843) (0.135) (0.407)
    west -0.384 2.632* 0.358* 0.545 2.915 3.635*** 1.010** 0.623
    (0.696) (1.325) (0.194) (0.512) (2.012) (1.163) (0.476) (0.462)
    year YES YES YES YES YES YES YES YES
    province YES YES YES YES YES YES YES YES
    _cons -4.253 8.680 -9.247*** 8.991 -6.445 -4.167 -10.277*** -2.065
    (13.296) (19.597) (2.588) (8.132) (14.139) (16.686) (2.755) (8.115)
    N 153 110 153 110 147 142 147 142
    R2 0.641 0.634 0.872 0.704 0.648 0.633 0.886 0.758
    VIF 6.19 4.04 6.19 4.04 5.78 4.57 5.78 4.57
    下载: 导出CSV

    表  9  稳健性检验

    Panel A直销银行的经济效果
    (1) (2) (3) (4) (5) (6) (7) (8)
    变量 f.depor f.ldra f.nim f.lnnim f.depor f.ldra f.nim f.lnnim
    剔除直辖市样本 异方差稳健标准误
    dbank -3.136* 2.418** 0.658** 0.228*** -2.981** 2.044** 0.676*** 0.234***
    (1.663) (0.987) (0.265) (0.080) (1.190) (0.976) (0.211) (0.063)
    N 274 274 274 274 283 283 283 283
    R2 0.446 0.773 0.551 0.816 0.466 0.769 0.554 0.827
    Panel B直销银行设立、区域经营跨度与银行存款:剔除直辖市样本
    (1) (2) (3) (4) (5) (6) (7) (8)
    变量 f.depor f.depor f.ldra f.ldra f.depor f.depor f.ldra f.ldra
    跨度大 跨度小 跨度大 跨度小 跨省 不跨省 跨省 不跨省
    dbank -3.178 -7.986*** 1.456 5.061** -2.636 -4.905*** 1.012 4.342***
    (2.418) (2.659) (1.474) (2.245) (1.856) (1.717) (1.449) (1.596)
    N 149 104 149 104 136 138 136 138
    R2 0.463 0.625 0.825 0.765 0.533 0.663 0.852 0.788
    Panel C直销银行设立、区域经营跨度与银行存款:异方差稳健标准误
    (1) (2) (3) (4) (5) (6) (7) (8)
    变量 f.depor f.depor f.ldra f.ldra f.depor f.depor f.ldra f.ldra
    跨度大 跨度小 跨度大 跨度小 跨省 不跨省 跨省 不跨省
    dbank -3.130* -8.009*** 1.450 5.018** -2.250 -4.905*** 0.309 4.342***
    (1.819) (2.220) (1.372) (2.175) (1.604) (1.584) (1.374) (1.532)
    N 153 106 153 106 145 138 145 138
    R2 0.490 0.626 0.828 0.765 0.561 0.663 0.850 0.788
    Panel D直销银行设立、区域经营跨度与银行收益:剔除直辖市样本
    (1) (2) (3) (4) (5) (6) (7) (8)
    变量 f.nim f.nim f.lnnim f.lnnim f.nim f.nim f.lnnim f.lnnim
    跨度大 跨度小 跨度大 跨度小 跨省 不跨省 跨省 不跨省
    dbank 1.229*** 0.299 0.348*** -0.028 1.073** 0.161 0.317** 0.063
    (0.371) (0.495) (0.110) (0.190) (0.453) (0.385) (0.135) (0.137)
    N 149 104 149 104 136 138 136 138
    R2 0.643 0.664 0.873 0.711 0.666 0.672 0.888 0.785
    Panel E直销银行设立、区域经营跨度与银行收益:异方差稳健标准误
    (1) (2) (3) (4) (5) (6) (7) (8)
    变量 f.nim f.nim f.lnnim f.lnnim f.nim f.nim f.lnnim f.lnnim
    跨度大 跨度小 跨度大 跨度小 跨省 不跨省 跨省 不跨省
    dbank 1.224*** 0.301 0.350*** -0.029 1.135*** 0.161 0.331*** 0.063
    (0.307) (0.500) (0.083) (0.190) (0.333) (0.364) (0.096) (0.134)
    N 153 106 153 106 145 138 145 138
    R2 0.649 0.666 0.880 0.727 0.669 0.672 0.897 0.785
    注:出于简洁性的考虑,表中各方程控制变量的回归结果省略。
    下载: 导出CSV
  • [1] HAUSWALD R, MARQUEZ R. Information technology and financial services competition[J]. The Review of Financial Studies, 2003, 16(3): 921-948. doi: 10.1093/rfs/hhg017
    [2] CICIRETTI R, HASAN I, ZAZZARA C. Do internet activities add value? evidence from the traditional banks[J]. Journal of Financial Services Research, 2009, 35(1): 81-98. doi: 10.1007/s10693-008-0039-2
    [3] MALHOTRA P, SINGH B. The impact of internet banking on bank performance and risk: the Indian experience[J]. Eurasian Journal of Business and Economics, 2009, 13(4): 25-54.
    [4] ONAY C, OZSOZ E. The impact of internet-banking on brick and mortar branches: the case of Turkey[J]. Journal of Financial Services Research, 2013, 44: 187-204. doi: 10.1007/s10693-011-0124-9
    [5] 喻微锋, 郑建峡. 互联网金融、存款竞争与银行流动性创造[J]. 西部论坛, 2021(2): 106-124. doi: 10.3969/j.issn.1674-8131.2021.02.009
    [6] NJOROGE M N, MUGAMBI F. Effect of electronic banking on financial performance in Kenyan commercial banks[J]. International Academic Journal of Economics and Finance, 2018, 3(2): 197-215.
    [7] XUE M, HITT L M, CHEN P. Determinants and outcomes of internet banking adoption[J]. Management Science, 2011, 57(2): 291-307. doi: 10.1287/mnsc.1100.1187
    [8] GAUDIO B, PORZIO C, SAM PA GNARO G, et al. How do mobile, internet and ICT diffusion affect the banking industry? an empirical analysis[J]. European Management Journal, 2021, 39(3): 327-332. doi: 10.1016/j.emj.2020.07.003
    [9] JAYAWARDHENA C, FOLEY P. Changes in the banking sector-the case of internet banking in the UK[J]. Internet Research, 2000, 10(1): 19-31. doi: 10.1108/10662240010312048
    [10] DEYOUNG R. The financial performance of pure play internet banks[J]. Economic Perspectives-Federal Reserve Bank of Chicago, 2001, 25(1): 60-73.
    [11] MOLS P N. The internet and the banks' strategic distribution channel decisions[J]. Internet Research, 1998, 8(4): 331-337. doi: 10.1108/10662249810231087
    [12] YAKHLEF A. Does the internet compete with or complement bricks-and-mortar bank branches?[J]. International Journal of Retail & Distribution Management, 2001, 29(6): 272-281.
    [13] COLOMBO S. Traditional banks, online banks, and number of branches[J]. Economia E Politica Industriale, 2017, 44: 175-197. doi: 10.1007/s40812-016-0033-x
    [14] BERGER A, DEYOUNG R. The effects of geographic expansion on bank efficiency[J]. Journal of Financial Services Research, 2001, 19(2): 163-184.
    [15] 蔡卫星. 分支机构市场准入放松、跨区域经营与银行绩效[J]. 金融研究, 2016(6): 127-141. https://www.cnki.com.cn/Article/CJFDTOTAL-JRYJ201606009.htm
    [16] BERGER A, HASAN I, ZHOU M. The effects of focus versus diversification on bank performance: evidence from Chinese banks[J]. Journal of Banking & Finance, 2010, 34(7): 1417-1435.
    [17] 李广子. 跨区经营与中小银行绩效[J]. 世界经济, 2014(11): 119-145. https://www.cnki.com.cn/Article/CJFDTOTAL-SJJJ201411007.htm
    [18] KEIL J, MüLLER K. Bank branching deregulation and the syndicated loan market[J]. Journal of Financial and Quantitative Analysis, 2020, 55(4): 1269-1303. doi: 10.1017/S0022109019000607
    [19] 王京滨, 李博. 银行业务地理集中是否降低了金融风险?——基于中国城市商业银行微观数据的研究[J]. 管理世界, 2021(5): 87-97, 127. doi: 10.3969/j.issn.1002-5502.2021.05.008
    [20] 麦勇, 蒋雪, 蒋宇翔. 跨区域经营监管与银行流动性调整[J]. 财经研究, 2021(8): 155-169. https://www.cnki.com.cn/Article/CJFDTOTAL-CJYJ202108012.htm
    [21] 王擎, 吴玮, 黄娟. 城市商业银行跨区域经营: 信贷扩张、风险水平及银行绩效[J]. 金融研究, 2012(1): 141-153. https://www.cnki.com.cn/Article/CJFDTOTAL-JRYJ201201013.htm
    [22] JAYARATNE J, STRAHAN P E. The benefits of branching deregulation[J]. Economic Policy Review, 1997, 3(4): 13-29.
    [23] BOS J W B, KOLARI J W. Large bank efficiency in Europe and the United States: are there economic motivations for geographic expansion in financial services?[J]. The Journal of Business, 2005, 78(4): 1555-1592. doi: 10.1086/430869
    [24] 范香梅, 邱兆祥, 张晓云. 我国商业银行跨区域发展的经济效应研究[J]. 财贸经济, 2011(1): 64-71. https://www.cnki.com.cn/Article/CJFDTOTAL-CMJJ201101011.htm
    [25] 易志强. 政府干预、跨区域经营与城市商业银行治理[J]. 中南财经政法大学学报, 2012(5): 61-67, 143. doi: 10.3969/j.issn.1003-5230.2012.05.011
    [26] 陈一洪. 股权结构、跨区域经营与经营绩效——基于城市商业银行随机前沿生产函数的分析[J]. 广东商学院学报, 2013(5): 19-27. https://www.cnki.com.cn/Article/CJFDTOTAL-SONG201305004.htm
    [27] 张大永, 张志伟. 竞争与效率——基于我国区域性商业银行的实证研究[J]. 金融研究, 2019(4): 111-129. https://www.cnki.com.cn/Article/CJFDTOTAL-JRYJ201904007.htm
    [28] LEVINE R, LIN C, XIE W. Geographic diversification and banks' funding costs[J]. Management Science, 2020, 67(5): 2657-2678.
    [29] GILJE E P, LOUTSKINA E, STRAHAN P E. Exporting liquidity: branch banking and financial integration[J]. Journal of Finance, 2016, 71(3): 1159-1184. doi: 10.1111/jofi.12387
    [30] GOETZ M R, LAEVEN L, LEVINE R. Does the geographic expansion of banks reduce risk?[J]. Journal of Financial Economics, 2016, 120(2): 346-362. doi: 10.1016/j.jfineco.2016.01.020
    [31] MESLIER C, MORGAN D P, SAMOLYK K, et al. The benefits and costs of geographic diversification in banking[J]. Journal of International Money & Finance, 2016, 69: 287-317.
    [32] AGUIRREGABIRIA V, CLARK R, WANG H. Diversification of geographic risk in retail bank networks: evidence from bank expansion after the Riegle-Neal Act[J]. The RAND Journal of Economics, 2016, 47(3): 529-572. doi: 10.1111/1756-2171.12136
    [33] LE T D Q. Geographic expansion, income diversification, and bank stability: evidence from Vietnam[J]. Cogent Business & Management, 2021, 8(1): 1-22.
    [34] HUGHES J P, LANG W, MESTER L J. Efficient banking under interstate branching[J]. Journal of Money, Credit and Banking, 1996, 28(4): 1045-1071. doi: 10.2307/2077940
    [35] DENG S E, ELYASIANI E. Geographic diversification, bank holding company value, and risk[J]. Journal of Money, Credit and Banking, 2008, 40(6): 1217-1238. doi: 10.1111/j.1538-4616.2008.00154.x
    [36] 邹新月, 王旺. 中国数字金融与科技创新耦合协调发展的时空演变及其交互影响[J]. 广东财经大学学报, 2021(3): 4-17. https://xb.gdufe.edu.cn/article/id/53667a43-be4f-41eb-a7ba-975895d3df20
    [37] 郑志来. 互联网金融对我国商业银行的影响路径——基于"互联网+"对零售业的影响视角[J]. 财经科学, 2015(5): 34-43. doi: 10.3969/j.issn.1000-8306.2015.05.004
    [38] 邱晗, 黄益平, 纪洋. 金融科技对传统银行行为的影响——基于互联网理财的视角[J]. 金融研究, 2018(11): 17-29. https://www.cnki.com.cn/Article/CJFDTOTAL-JRYJ201811002.htm
    [39] 顾海峰, 杨立翔. 互联网金融与银行风险承担: 基于中国银行业的证据[J]. 世界经济, 2018(10): 75-100. https://www.cnki.com.cn/Article/CJFDTOTAL-SJJJ201810005.htm
    [40] 郭品, 沈悦. 互联网金融、存款竞争与银行风险承担[J]. 金融研究, 2019(8): 58-76. https://www.cnki.com.cn/Article/CJFDTOTAL-JRYJ201908004.htm
    [41] FUSTER A, PLOSSER M, SCHNABL P, et al. The role of technology in mortgage lending[J]. The Review of Financial Studies, 2019, 32(5): 1854-1899. doi: 10.1093/rfs/hhz018
    [42] 袁秀文, 曹源芳. 金融科技对商业银行流动性风险传染效应研究[J]. 金融教育研究, 2019(5): 13-19. doi: 10.3969/j.issn.2095-0098.2019.05.002
    [43] 项后军, 闫玉. 理财产品发展、利率市场化与银行风险承担问题研究[J]. 金融研究, 2017(10): 99-114. https://www.cnki.com.cn/Article/CJFDTOTAL-JRYJ201710007.htm
  • 加载中
图(1) / 表(9)
计量
  • 文章访问数:  600
  • HTML全文浏览量:  277
  • PDF下载量:  17
  • 被引次数: 0
出版历程
  • 收稿日期:  2021-10-28
  • 刊出日期:  2022-05-28

目录

    /

    返回文章
    返回