Does the new digital infrastructure improve total factor productivity?

被引:43
作者
Tang, Junjun [1 ,4 ]
Zhao, Xing [2 ,3 ]
机构
[1] Huaiyin Inst Technol, Sch Business, Huaian, Peoples R China
[2] Nanjing Normal Univ, Sch Business, Nanjing, Peoples R China
[3] Nanjing Normal Univ, Sch Business, Nanjing 210023, Peoples R China
[4] Huaiyin Inst Technol, Sch Business, Huaian 223003, Peoples R China
关键词
new digital infrastructure; total factor productivity; technological innovation; factor allocation; economies of scale; RESEARCH-AND-DEVELOPMENT; HIGH-SPEED RAILWAY; INFORMATION-TECHNOLOGY; CARBON EMISSIONS; CHINA; PERFORMANCE; SPILLOVERS; INNOVATION; GROWTH; DETERMINANTS;
D O I
10.1111/boer.12388
中图分类号
F [经济];
学科分类号
02 ;
摘要
Improving total factor productivity (TFP) is essential to achieving high-quality and sustainable economic development. The existing literature mainly focuses on the impact of traditional infrastructure on TFP but generally ignores the role of new digital infrastructure in TFP and does not test impact mechanisms and whether there is heterogeneity in effects. Using panel data of 30 regions in China from 2006 to 2017, this paper analyzes the impact of new digital infrastructure on TFP and its mechanisms. The results are as follows: (1) New digital infrastructure can significantly improve regional TFP. After the robustness test, the results still support the findings. (2) New digital infrastructure can promote technological innovation, optimize factor allocation, and achieve economies of scale, thus improving TFP. (3) Further analysis shows that the positive effect of new digital infrastructure on TFP shows significant heterogeneity. In regions with high economic development levels, high research and development (R&D) levels, and high traditional infrastructure development levels, the positive effect of new digital infrastructure on TFP is more obvious. These findings not only enrich the literature on digital infrastructure and economic growth but also serve as a reference for governmental departments as they optimize their strategy for developing digital infrastructure and realizing sustainable economic development.
引用
收藏
页码:895 / 916
页数:22
相关论文
共 83 条
[1]   Robots and Jobs: Evidence from US Labor Markets [J].
Acemoglu, Daron ;
Restrepo, Pascual .
JOURNAL OF POLITICAL ECONOMY, 2020, 128 (06) :2188-2244
[2]   The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment [J].
Acemoglu, Daron ;
Restrepo, Pascual .
AMERICAN ECONOMIC REVIEW, 2018, 108 (06) :1488-1542
[3]   Determinants of total factor productivity in former Soviet Union economies: A stochastic frontier approach [J].
Arazmuradov, Annageldy ;
Martini, Gianmaria ;
Scotti, Davide .
ECONOMIC SYSTEMS, 2014, 38 (01) :115-135
[4]   THE ECONOMIC-IMPLICATIONS OF LEARNING BY DOING [J].
ARROW, KJ .
REVIEW OF ECONOMIC STUDIES, 1962, 29 (80) :155-173
[5]  
Autor DH, 2003, TECHNOLOGY, GROWTH, AND THE LABOR MARKET, P107
[6]   Internalization theory for the digital economy [J].
Banalieva, Elitsa R. ;
Dhanaraj, Charles .
JOURNAL OF INTERNATIONAL BUSINESS STUDIES, 2019, 50 (08) :1372-1387
[7]   On the road: Access to transportation infrastructure and economic growth in China [J].
Banerjee, Abhijit ;
Duflo, Esther ;
Qian, Nancy .
JOURNAL OF DEVELOPMENT ECONOMICS, 2020, 145
[8]   How does information technology affect productivity? Plant level comparisons of product innovation, process improvement, and worker skills [J].
Bartel, Ann ;
Ichniowski, Casey ;
Shaw, Kathryn .
QUARTERLY JOURNAL OF ECONOMICS, 2007, 122 (04) :1721-1758
[9]   Production Networks, Geography, and Firm Performance [J].
Bernard, Andrew B. ;
Moxnes, Andreas ;
Saito, Yukiko U. .
JOURNAL OF POLITICAL ECONOMY, 2019, 127 (02) :639-688
[10]   More bits - more bucks? Measuring the impact of broadband internet on firm performance [J].
Bertschek, Irene ;
Cerquera, Daniel ;
Klein, Gordon J. .
INFORMATION ECONOMICS AND POLICY, 2013, 25 (03) :190-203