Data Economy to the Rescue of Our Empty Planet?

64 Pages Posted: 8 Jan 2025 Last revised: 18 Dec 2024

See all articles by Qing Chang

Qing Chang

Tsinghua University

Lin William Cong

Cornell University - Samuel Curtis Johnson Graduate School of Management; Cornell SC Johnson College of Business; National Bureau of Economic Research (NBER)

Longtian Zhang

Central University of Finance and Economics (CUFE)

Date Written: December 18, 2024

Abstract

Many medium-and high-income countries are riddled with aging and declining populations. Against the backdrop of the rapid emergence of big data, digitization, and AI, we explore how the development of the data economy interacts with these demographic challenges and has the potential to mitigate or even reverse these ominous trends. Specifically, we construct an endogenous growth model with endogenous fertility, incorporating data into the accumulation of human capital. We identify a significant reinforcement mechanism: a larger population generates more data, which, due to its nonrival nature, accelerates human capital accumulation and enhances consumers' productivity. This, in turn, frees up time and financial resources, facilitating higher rates of reproduction and population growth. Unlike Jones (2022), the development of the data economy can drive high population and economic growth without the need for distortionary policy measures.

Keywords: Population decline, digital economy, endogenous growth, human capital accumulation

JEL Classification: I12, J11, O41

Suggested Citation

Chang, Qing and Cong, Lin and Zhang, Longtian, Data Economy to the Rescue of Our Empty Planet? (December 18, 2024). Available at SSRN: https://ssrn.com/abstract=5062219 or http://dx.doi.org/10.2139/ssrn.5062219

Qing Chang

Tsinghua University ( email )

Mingzhai Building, Tsinghua University
Haidian District
Beijing, Beijing 100084
China

Lin Cong (Contact Author)

Cornell University - Samuel Curtis Johnson Graduate School of Management ( email )

Ithaca, NY 14853
United States

HOME PAGE: http://www.linwilliamcong.com/

Cornell SC Johnson College of Business ( email )

Ithaca, NY 14850
United States

National Bureau of Economic Research (NBER) ( email )

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

Longtian Zhang

Central University of Finance and Economics (CUFE) ( email )

Shahe Higher Education Park
Changping District
Beijing, Beijing 102206
China

HOME PAGE: http://longtianzhang.com

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