Journal of East China Normal University (Philosophy and Social Sciences) ›› 2022, Vol. 54 ›› Issue (1): 143-154.doi: 10.16382/j.cnki.1000-5579.2022.01.013
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Yan HU, Yu-qi CHEN, Yan LI
Accepted:
2021-12-10
Online:
2022-01-15
Published:
2022-01-22
Yan HU, Yu-qi CHEN, Yan LI. The Impact of Digital Economy on Urban Economic Resilience in the Yangtze River Delta Region[J]. Journal of East China Normal University (Philosophy and Social Sciences), 2022, 54(1): 143-154.
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一级指标 | 二级指标 | 三级指标 | 指标属性 |
城市经济韧性 | 抵抗与恢复力指数 | 人均GDP | + |
城镇登记失业率 | ? | ||
外贸依存度 | ? | ||
城乡居民储蓄余额 | + | ||
在岗职工平均工资 | + | ||
规模以上工业企业中港澳台企业和外资企业占比 | ? | ||
适应与调节力指数 | 规模以上工业企业固定资产总额 | + | |
社会消费品零售总额 | + | ||
财政自给率 | + | ||
地方财政支出 | + | ||
金融结构(存贷款比) | + | ||
创新与转型力指数 | 财政教育支出 | + | |
科学技术支出 | + | ||
专利授权总量 | + | ||
产业结构高级化指数 | + | ||
每万人大学生数量 | + | ||
数字经济 | 互联网发展 | 百人中互联网宽带接入用户数 | + |
计算机服务和软件业从业人员占城镇单位从业人员比例 | + | ||
人均电信业务总量 | + | ||
每百人中移动电话用户数 | + | ||
数字普惠金融 | 数字普惠金融指数 | + |
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变量类别 | 变量名称 | 符号 | 样本量 | 最小值 | 最大值 | 均值 | 标准差 |
解释变量 | 数字经济 | DIGMY | 369 | 0.031 | 0.779 | 0.223 | 0.124 |
被解释变量 | 经济韧性 | UER | 369 | 0.002 | 0.886 | 0.089 | 0.129 |
中介变量 | 创新创业活跃度 | Entr | 369 | 0.006 | 0.761 | 0.216 | 0.161 |
社会保障水平 | Sse | 369 | 0.028 | 0.897 | 0.248 | 0.204 | |
控制变量 | 人口密度 | POP | 369 | 145.290 | 2 300.899 | 655.861 | 343.739 |
资本生产率 | PK | 369 | 0.154 | 0.688 | 0.291 | 0.094 | |
城市经济密度 | ECOD | 369 | 386.265 | 54 316.030 | 5 800.639 | 7 557.318 | |
政府干预 | GOV | 369 | 0.076 | 1.161 | 0.191 | 0.127 |
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变量 | UER | UER-RR | UER-AA | UER-IT |
DIGMY | 0.481***(0.129) | 0.505***(0.139) | 0.481***(0.129) | 0.484***(0.153) |
POP | 0.051(0.055) | ?0.008 (0.041) | 0.051 (0.055) | 0.047 (0.037) |
ECOD | ?0.005**(0.002) | ?0.015***(0.002) | ?0.005**(0.002) | ?0.006**(0.002) |
PK | 0.238** (0.108) | ?0.063 (0.103) | 0.239**(0.108) | 0.236* (0.135) |
GOV | 0.006*(0.003) | 0.019***(0.003) | 0.006*(0.003) | 0.013**(0.004) |
常数项 | ?0.365(0.360) | 0.247(0.264) | ?0.364(0.359) | ?0.320(0.243) |
N | 369 | 369 | 369 | 369 |
R2 | 0.575 6 | 0.757 3 | 0.575 6 | 0.554 7 |
Hausman test | 12.24* | 29.48*** | 12.24* | 10.65* |
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(1)中心城市 | (2)外围城市 | (3)都市圈城市 | (4)非都市圈城市 | |
DIGMY | 0.333*(0.140) | 0.119**(0.055) | 0.568***(0.137) | 0.034(0.039) |
POP | 1.451***(0.198) | 0.001(0.053) | ?0.007(0.070) | 0.056***(0.007) |
ECOD | ?0.005(0.006) | ?0.007***(0.001) | ?0.004(0.003) | ?0.004**(0.001) |
PK | 1.250(0.718) | 0.029(0.078) | 0.330**(0.131) | ?0.084***(0.027) |
GOV | 0.173(0.094) | 0.005*(0.003) | 0.008(0.005) | 0.001(0.003) |
常数项 | ?9.636***(1.380) | ?0.091(0.342) | ?0.029(0.420) | ?0.257***(0.047) |
N | 45 | 324 | 234 | 135 |
R2 | 0.876 4 | 0.332 4 | 0.783 5 | 0.175 0 |
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变量 | (1)UER | 创新创业活跃度 | 社会保障水平 | (6)双重中介效应回归 | ||
(2)Entr | (3)UER | (4)Sse | (5)UER | |||
DIGMY | 0.481*** (0.129) | 0.728*** (0.148) | 0.392*** (0.118) | 0.310** (0.119) | 0.471*** (0.124) | 0.383*** (0.114) |
Entr | 0.129*** (0.035) | 0.124*** (0.035) | ||||
Sse | 0.049** (0.021) | 0.040* (0.020) | ||||
控制变量 | YES | YES | YES | YES | YES | YES |
常数项 | ?0.365 (0.360) | ?0.799* (0.459) | ?0.262 (0.326) | ?1.311 (0.889) | ?0.262 (0.326) | ?0.212 (0.299) |
N | 369 | 369 | 369 | 369 | 369 | 369 |
R2 | 0.575 6 | 0.486 3 | 0.618 5 | 0.067 1 | 0.618 5 | 0.625 7 |
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变量 | 城市经济韧性 | 抵抗与恢复力 | 适应与调节力 | 创新与转型力 |
UER | UER-RR | UER-AA | UER-IT | |
dif | 0.001***(0.000) | 0.001***(0.000) | 0.001***(0.000) | 0.001***(0.000) |
POP | 0.087(0.053) | 0.028(0.033) | 0.087 7(0.053) | 0.082 1*(0.046) |
ECOD | ?0.003(0.001) | ?0.010***(0.002) | ?0.003*(0.001) | ?0.003(0.002) |
PK | 0.378**(0.175) | 0.131(0.140) | 0.379**(0.175) | 0.383*(0.193) |
GOV | 0.006(0.006) | 0.028***(0.007) | 0.006(0.006) | 0.018**(0.007) |
常数项 | ?0.611(0.364) | ?0.087(0.232) | ?0.611(0.364) | ?0.586*(0.323) |
N | 369 | 369 | 369 | 369 |
R2 | 0.493 0 | 0.476 1 | 0.493 1 | 0.510 8 |
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年份 | Moran′s I | |||
UER | z值 | DIGMY | z值 | |
2011 | 0.299*** | ?5.368 | 0.403*** | ?5.484 |
2012 | 0.313*** | ?5.468 | 0.402*** | ?5.453 |
2013 | 0.329*** | ?5.626 | 0.418*** | ?5.707 |
2014 | 0.339*** | ?5.768 | 0.427*** | ?5.822 |
2015 | 0.338*** | ?5.812 | 0.441*** | ?6.003 |
2016 | 0.347*** | ?5.935 | 0.446*** | ?6.180 |
2017 | 0.351*** | ?5.954 | 0.485*** | ?6.681 |
2018 | 0.364*** | ?5.892 | 0.471*** | ?6.530 |
2019 | 0.375*** | ?6.120 | 0.503*** | ?7.007 |
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反经济距离矩阵 | (1) | (2) | (3) | (4) | (5) | |
直接效应 | DIGMY | 0.262***(2.92) | 0.242***(3.13) | 0.259***(3.02) | 0.246***(3.40) | 0.243***(3.31) |
间接效应 | DIGMY | 0.470(1.57) | 0.451*(1.91) | 0.747(1.43) | 0.903**(2.21) | 0.888**(2.09) |
POP | 1.190(1.51) | 1.274(1.36) | 0.356(1.20) | 0.354(1.20) | ||
ECOD | 0.016(1.13) | 0.004(0.74) | 0.003(0.52) | |||
PK | 0.583**(2.21) | 0.627**(2.09) | ||||
GOV | 0.023(1.45) | |||||
固定效应 | YES | YES | YES | YES | YES | |
rho | 0.655***(7.75) | 0.586***(6.38) | 0.587***(6.33) | 0.466***(4.35) | 0.460***(4.35) | |
R2 | 0.688 4 | 0.436 11 | 0.437 8 | 0.542 2 | 0.538 3 | |
Log-L | 925.273 2 | 935.365 8 | 938.759 2 | 966.525 3 | 966.855 9 | |
总效应 | DIGMY | 0.733**(2.12) | 0.694***(2.63) | 1.007*(1.78) | 1.149***(2.73) | 1.132***(2.56) |
1 | 陈丛波、叶阿忠, 2021, 《数字经济、创新能力与区域经济韧性》, 《统计与决策》第17期. |
2 | 陈梦远, 2017, 《国际区域经济韧性研究进展—基于演化论的理论分析框架介绍》, 《地理科学进展》第11期. |
3 | 崔耕瑞, 2021, 《数字金融能否提升中国经济韧性》, 《山西财经大学学报》第12期. |
4 | 黄群慧、余泳泽、张松林, 2019, 《互联网发展与制造业生产率提升: 内在机制与中国经验》, 《中国工业经济》第8期. |
5 | 李晓华, 2019, 《数字经济新特征与数字经济新动能的形成机制》, 《改革》第11期. |
6 | 刘军、杨渊鋆、张三峰, 2020, 《中国数字经济测度与驱动因素研究》, 《上海经济研究》第6期. |
7 | 孙久文、孙翔宇, 2017, 《区域经济韧性研究进展和在中国应用的探索》, 《经济地理》第10期. |
8 | 汪亚楠、谭卓鸿、郑乐凯, 2020, 《数字普惠金融对社会保障的影响研究》, 《数量经济技术经济研究》第7期. |
9 | 徐圆、张林玲, 2019, 《中国城市的经济韧性及由来: 产业结构多样化视角》, 《财贸经济》第7期. |
10 | 许宪春、张美慧, 2020, 《中国数字经济规模测算研究—基于国际比较的视角》, 《中国工业经济》第5期. |
11 | 余东华、李云汉, 2021, 《数字经济时代的产业组织创新—以数字技术驱动的产业链群生态体系为例》, 《改革》第7期. |
12 | 张春敏, 2021, 《数字化转型中韧性城市建设的制度基础、演化机制与现实路径》, 《贵州社会科学》第7期. |
13 | 赵涛、张智、梁上坤, 2020, 《数字经济、创业活跃度与高质量发展—来自中国城市的经验证据》, 《管理世界》第10期. |
14 | 朱金鹤、孙红雪, 2021, 《数字经济是否提升了城市经济韧性》, 《现代经济探讨》第10期. |
15 | Gong, H. and Hassink, R., 2017, “Exploring the Clustering of Creative Industries”, European Planning Studies, Vol. 25, No. 4. |
16 | Martin, R., Sunley, P. and Tyler, P., 2015, “Local Growth Evolutions: Recession, Resilience and Recovery”, Cambridge Journal of Regions Economy and Society, Vol. 8, No. 2. |
17 | Nunn, N. and Qian, N., 2014, “US Food Aid and Civil Conflict”, American Economic Review, Vol. 104, No. 6. |
18 | Reggani, A., De Graff, T. and Nijkamp, P., 2002, “Resilience: An Evolutionary Approach to Spatial Economic System”, Networks and Spatial Economics , Vol. 2. |
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