|
|
|
| The Effects of Digital Finance on Labor Demand: Evidence from 20 Million Online Recruitment Positions |
| CAI Weixing, WEI Qingfang, LIN Hangyu
|
School of Finance, Guangdong University of Finance & Economics;
School of Economics and Finance, Huaqiao University;
China School of Banking and Finance, University of International Business and Economics |
|
|
|
Abstract Employment is essential for individuals' livelihoods and directly affects economic and social factors such as income, consumption, and production. In addition, it serves as a crucial metric for evaluating high-quality development and collective prosperity. Over the past decade, China has rapidly embraced digital finance, becoming a global leader in this area. This advancement has digitally transformed the impact of technological progress on the labor market and broadened access to financial services to a wider demographic, changing labor market dynamics by lowering entry barriers to traditional financial services. However, there is a significant gap in the literature regarding the impact of digital finance development on online recruitment demands.
The rapid growth of digital finance in China provides a good opportunity to study its impact on online recruitment demands. Theoretical considerations suggest that the development of digital finance has a dual effect on online recruitment demands. It may reduce demands for and lead to the elimination of certain positions (known as the “job substitution effect”), but it also has the potential to create new job requirements (the “job creation effect”) and to indirectly stimulate entrepreneurial activities (the “entrepreneurship-driven employment effect”), thereby increasing online recruitment demands. In this paper, we use a dataset of 20 million online job postings to create indicators for online recruitment demands and assess the development of digital finance using the Peking University Digital Inclusion Index of China. We systematically examine the impact of digital finance development on online recruitment demands. Our findings indicate a notably positive impact, suggesting that the development of digital finance facilitates both the “job creation effect” and the “entrepreneurship-driven employment effect.” In addition, heterogeneous results indicate that the labor demand effects of digital finance development are widely present across various educational backgrounds, experiences, and wage levels. This confirms the inclusiveness of digital finance development at the job level.
This study contributes to the literature in the following aspects. First, it highlights the considerably positive impact of digital finance development on online recruitment demands. Despite extensive scholarly attention to the economic aspects of digital finance development, focusing on macroeconomic growth, micro-level corporate financing behavior, and household entrepreneurship and consumption, there remains a notable gap in understanding its effects on online recruitment demands, a gap which our research bridges.
Second, we construct a large-scale database comprising 20 million online job postings, which exhibits excellent scalability. Using big data methodologies, we extract information from these postings as the foundational dataset for our study, which has gained prominence in recent academic research. In contrast to household surveys, our dataset not only has a more substantial sample size but also provides richer information. For instance, in testing the “job creation effect,” we use machine learning to identify digital positions based on the lexicon proposed by Chen and Srinivasan (2023). Given the advantages inherent in this dataset, we anticipate its broader application in the future.
We conduct additional tests to explore the online recruitment demand implications of digital finance development, enhancing our understanding of its interplay with traditional finance and its role in responding to challenges posed by external shocks. Our findings indicate that the labor demand effects of digital finance development are more pronounced in areas with lower (vs. higher) bank branch density, confirming a clear complementary relationship between digital finance and traditional finance. Furthermore, the development of digital finance helps mitigate the adverse effects of external shocks on online recruitment demands. These tests refine our insights into the dynamics of digital finance development.
This study has important policy implications. First, it is crucial to promote the healthy development of digital finance. Second, efforts should focus on improving the digital skills of the workforce to meet the growing demand for talent in the evolving digital finance landscape. Concurrently, greater support should be provided for entrepreneurial activities to maximize the employment effects of digital finance development. Third, initiatives should aim to encourage the development of digital finance in regions with weak traditional finance.
|
|
Received: 02 September 2021
Published: 16 July 2024
|
|
|
|
|
|
|
|
