A method based on PCA-CS algorithm and LeNet-R network is proposed to solve these problems. The PCA-CS algorithm combines the advantages of principal component analysis (PCA) and compressed sensing (CS). Firstly, principal component analysis is adopted to reduce the dimension of...

In this paper, we rely on the plausibly exogeneous relaxations in Foreign Direct Investment (FDI) policies from 2007 to 2015 to study the impact of FDI liberalization on occupational mobility in China. To quantify the policy changes, we create a 4-digit FDI liberalization index and link it with...

Throughout the era of China’s WTO accession, the labor market and education dynamics have been significantly impacted by the surge in FDI. This study systematically scrutinizes how these factors interplay, with emphasis on migrants’ educational attainment, skill premium, and employment...

China’s new Labor Contract Law (LCL), which came into force in 2008, has greatly improved the protection of workers and increased the cost of labor. This study investigates its effect on firms’ risk-taking behavior and industrial upgrading. The analysis finds strong and robust evidence that...

Using unsecured personal loans from a credit bureau, we find that fintech firms bring lower borrower costs than the traditional lenders (i.e., banks and credit unions) in the medium to high credit score segments (i.e., credit score 670). Among subprime borrowers (i.e., credit score 670), fintech...