Towards sustainable development: Unveiling the impact of digital government on urban low-carbon development from a resource curse perspective

被引：0
作者：
Xue H. [1 ]
机构：
[1] School of Political Science and Public Administration, Henan Normal University, Xinxiang
来源：
Resources Policy | 2024年 / 95卷
关键词：
Digital government; Low-carbon economy; Resource curse; Smart city construction; Sustainable development;
D O I：
10.1016/j.resourpol.2024.105118
中图分类号：
学科分类号：
摘要：
In the pursuit of sustainable development, this study explores the influence of digital government on urban low-carbon development within the context of the resource curse. Leveraging a staggered difference-in-difference model and panel data covering 288 prefecture-level cities from the years 2000–2020, we analyze smart city construction's impact on low-carbon development. The results indicate that the digital government has an optimal effect on low-carbon development in smart city areas; the impact of the digital government on low-carbon development is more significant in the well-developed eastern regions. Moreover, the low-carbon development effect of digital government shows incremental effects. Finally, the impacts of scientific and technological innovation, rationalization of industrial structure, and upgrading of industrial structure can positively moderate the effect of digital government on low-carbon development. Overall, this research contributes to studying factors that influence low-carbon development and facilitates the realization of low-carbon development in cities with the digital government as a starting point. © 2024 Elsevier Ltd
引用
收藏
相关论文
共 66 条
[1]  
AlNuaimi B.K., Singh S.K., Ren S., Budhwar P., Vorobyev D., Mastering digital transformation: the nexus between leadership, agility, and digital strategy, J. Bus. Res., 145, pp. 636-648, (2022)
[2]  
Argyroudis S.A., Mitoulis S.A., Chatzi E., Baker J.W., Brilakis I., Gkoumas K., Vousdoukas M., Hynes W., Carluccio S., Keou O., Digital technologies can enhance climate resilience of critical infrastructure, Climate Risk Management, 35, (2022)
[3]  
Baker A.C., Larcker D.F., Wang C.C., How much should we trust staggered difference-in-differences estimates?, J. Financ. Econ., 144, pp. 370-395, (2022)
[4]  
Callaway B., Sant'Anna P.H., Difference-in-differences with multiple time periods, J. Econom., 225, pp. 200-230, (2021)
[5]  
Chen J., Mitigating nitrogen dioxide air pollution: the roles and effect of national smart city pilots in China, Energy, 263, (2023)
[6]  
Ding C.J., Chen H., Liu Y., Hu J., Hu M., Chen D., Irfan M., Unleashing digital empowerment: Pioneering low-carbon development through the broadband China strategy, Energy, 131034, (2024)
[7]  
Dong F., Li Y., Li K., Zhu J., Zheng L., Can smart city construction improve urban ecological total factor energy efficiency in China? Fresh evidence from generalized synthetic control method, Energy, 241, (2022)
[8]  
Duygan M., Fischer M., Ingold K., Assessing the readiness of municipalities for digital process innovation, Technol. Soc., 72, (2023)
[9]  
Fink L., Information technology outsourcing through a configurational lens, J. Strat. Inf. Syst., 19, pp. 124-141, (2010)
[10]  
Gao Y., Zheng J., Clearing the air through pipes? An evaluation of the air pollution reduction effect of China's natural gas pipeline projects, Energy Pol., 160, (2022)
1234567