The complexity of the intangible digital economy: an agent-based model

被引:74
作者
Bertani, Filippo [1 ]
Ponta, Linda [2 ]
Raberto, Marco [1 ]
Teglio, Andrea [3 ]
Cincotti, Silvano [1 ]
机构
[1] Univ Genoa, DIME DOGE, Via Opera Pia 15, I-16145 Genoa, Italy
[2] LIUC Univ Carlo Cattaneo, Corso G Matteotti 22, I-21053 Castellanza, VA, Italy
[3] Univ Ca Foscari Venezia, Dipartimento Econ, Fondamenta San Giobbe 873, I-30121 Venice, Italy
关键词
Intangible assets; Digital transformation; Technological unemployment; Agent-based economics; INCREASING RETURNS; BUSINESS-CYCLE; POLICY; INNOVATION; NETWORKS; INSIGHTS; FUTURE; GROWTH; SKILLS;
D O I
10.1016/j.jbusres.2020.03.041
中图分类号
F [经济];
学科分类号
02 ;
摘要
During the last decades, we have witnessed a strong development of intangible digital technologies. Software, artificial intelligence and algorithms are increasingly affecting both production systems and our lives; economists have started to figure out the long-run complex economic implications of this new technological wave. In this paper, we address this question through the agent-based modelling approach. In particular, we enrich the macroeconomic model Eurace with the concept of intangible digital technology and investigate its effects both at the micro and macro level. Results show the emergence of the relevant stylized facts observed in the business domain, such as increasing returns, winner-take-most phenomena and market lock-in. At the macro level, our main finding is an increasing unemployment level, since the sizeable decrease of the employment rate in the mass-production system, provided by the higher productivity of digital assets, is usually not counterbalanced by the new jobs created in the digital sector.
引用
收藏
页码:527 / 540
页数:14
相关论文
共 50 条
[41]   Agent-Based Models [J].
de Marchi, Scott ;
Page, Scott E. .
ANNUAL REVIEW OF POLITICAL SCIENCE, VOL 17, 2014, 17 :1-20
[42]   Opinion dynamics model based on the cognitive dissonance: An agent-based simulation [J].
Li, Ke ;
Liang, Haiming ;
Kou, Gang ;
Dong, Yucheng .
INFORMATION FUSION, 2020, 56 :1-14
[43]   How Many Agents are Rational in China's Economy? Evidence from a Heterogeneous Agent-Based New Keynesian Model [J].
Zhao, Wei ;
Lu, Yi ;
Feng, Genfu .
COMPUTATIONAL ECONOMICS, 2019, 54 (02) :575-611
[44]   Fiscal transfers and common debt in a Monetary Union: a multi-country agent-based stock flow consistent model [J].
Caiani, Alessandro ;
Catullo, Ermanno .
INDUSTRIAL AND CORPORATE CHANGE, 2024, 33 (02) :424-465
[45]   Optimal Patent Design: An Agent-based Approach [J].
Brabazon, Anthony ;
Silva, Arlindo ;
O'Neill, Michael .
2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2012,
[46]   Concentration, stagnation and inequality: An agent-based approach [J].
Terranova, Roberta ;
Turco, Enrico M. .
JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION, 2022, 193 :569-595
[47]   How carbon pricing affects multiple human needs: An agent-based model analysis [J].
Foramitti, Joel ;
Savin, Ivan ;
van den Bergh, Jeroen C. J. M. .
ECOLOGICAL ECONOMICS, 2024, 217
[48]   Dual labor market, financial fragility, and deflation in an agent-based model of the Japanese macroeconomy [J].
Di Guilmi, Corrado ;
Fujiwara, Yoshi .
JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION, 2022, 196 :346-371
[49]   Simulation of various biofilm fractal morphologies by agent-based model [J].
Wang, Jiankun ;
Wu, Jin ;
Li, Jin ;
Kong, Rui ;
Li, Xianyong ;
Wang, Xiaoling .
COLLOIDS AND SURFACES B-BIOINTERFACES, 2023, 227
[50]   To copatent or not to copatent: An agent-based model for firms facing this dilemma [J].
Ponta, Linda ;
Puliga, Gloria ;
Lazzarotti, Valentina ;
Manzini, Raffaella ;
Cincotti, Silvano .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2023, 306 (03) :1349-1363