How does digital finance affect the efficiency of urban green economies? Evidence from China

被引:31
作者
Li, Hongmei [1 ]
Xu, Ruizhe [1 ]
机构
[1] Univ Chinese Acad Social Sci, Fac Appl Econ, Beijing 102488, Peoples R China
关键词
Digital finance; Urban green economic efficiency; Green technology innovation; Threshold modeling; INNOVATION;
D O I
10.1016/j.frl.2023.104595
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Based on the panel data of 238 prefecture-level cities from 2012 to 2021, the fixed effect model, mediation effect model and threshold regression model are used to empirically examine how digital finance affects urban green economic efficiency. The results of the study show that in terms of the overall effect, digital financial development is conducive to improving urban green economic efficiency, and this conclusion still holds after the robustness test. Green technological innovation helps to improve urban green economic efficiency, and it is an important conduction mechanism for digital finance to drive the urban green economic efficiency to realize the leap. The results of the threshold regression show that there is a nonlinear effect of digital finance on urban green economic efficiency. Heterogeneity discussion found that digital finance has a more significant effect on the improvement of green economic efficiency in large cities and mediummini-sized cities than in mega-cities. This study further expands the relevant content of the impact effect of digital finance, and provides theoretical and practical experience for the continuous improvement of urban economic efficiency.
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页数:8
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共 20 条
[1]   Digital finance, green technological innovation and energy-environmental performance: Evidence from China's regional economies [J].
Cao, Shaopeng ;
Nie, Liang ;
Sun, Huaping ;
Sun, Weifeng ;
Taghizadeh-Hesary, Farhad .
JOURNAL OF CLEANER PRODUCTION, 2021, 327
[2]   Does the National Credit Demonstration Policy Affect Urban Green Economy Efficiency? Evidence from the Yangtze River Delta Region of China [J].
Chen, Haisheng ;
Ni, Dingqing ;
Zhu, Shuiping ;
Ying, Ying ;
Shen, Manhong .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (16)
[3]   The impact of producer services agglomeration on green economic development: Evidence from 278 Chinese cities [J].
Du, Mengfan ;
Zhang, Yue-Jun .
ENERGY ECONOMICS, 2023, 124
[4]   Threshold effects in non-dynamic panels: Estimation, testing, and inference [J].
Hansen, BE .
JOURNAL OF ECONOMETRICS, 1999, 93 (02) :345-368
[5]   The Rise of Digital Financialisation: The Case of India [J].
Jain, Sudeep ;
Gabor, Daniela .
NEW POLITICAL ECONOMY, 2020, 25 (05) :813-828
[6]   Reaping digital dividends: Digital inclusive finance and high-quality development of enterprises in China [J].
Lee, Chien -Chiang ;
Tang, Manting ;
Lee, Chi Chunn .
TELECOMMUNICATIONS POLICY, 2023, 47 (02)
[7]   The impact of digital finance on household consumption: Evidence from China [J].
Li, Jie ;
Wu, Yu ;
Xiao, Jing Jian .
ECONOMIC MODELLING, 2020, 86 :317-326
[8]   Can Environmental Information Disclosure Improve Urban Green Economic Efficiency? New Evidence From the Mediating Effects Model [J].
Lin, Shihai .
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
[9]   How technological innovation impacts urban green economy efficiency in emerging economies: A case study of 278 Chinese cities [J].
Liu, Yajie ;
Dong, Feng .
RESOURCES CONSERVATION AND RECYCLING, 2021, 169
[10]   Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China's Cities [J].
Liu, Yang ;
Yang, Yanlin ;
Li, Huihui ;
Zhong, Kaiyang .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (04)