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This paper assesses the productivity growth contributed by the dynamics of exporting firms using firm-level production data of Chinese firms from 2005 to 2009. The authors apply the dynamic Olley-Pakes decomposition with entry and exit proposed by Melitz and Polanec (Dynamic Olley-Pakes Productivity Decomposition with Entry and Exit, 2015), which allows them to decompose the change in aggregate productivity into contributions of surviving firms, entering firms and exiting firms. The study shows that in China, the combined contribution of the three components capturing reallocation amounts to almost half of the change in aggregate productivity. The between-firm market reallocation is found to contribute the most among the three components, followed by the exit of inefficient producers. It also shows that the aggregate productivity growth generated by the dynamics of exporting firms in foreign markets varies according to ownership, location and industry. More specifically, the data suggest that private firms, firms situated in the eastern region of China and firms from highconcentration industries provide a higher contribution to the growth of aggregate productivity. JEL F14 D40 D22 D24

We study the impact of access to finance on exports using Chinese firm‐level data. We distinguish two modes of external finance, namely bank loans and issuing stocks to shareholders. We not only consider the impact either of these has individually on export behaviour, but also their interaction. We build the two external sources, as well as internal finance, into a heterogeneous firm‐type model, which allows us to investigate the relationship between financial constraints and firms’ exports. We examine the model's predictions empirically using a comprehensive longitudinal firm‐level data set from China. Our empirical results are consistent with the theoretical predictions. Firms who have more interest expenditure or can issue stocks to their shareholders have higher propensity to export and export more. Moreover, the more financial options a firm has, the better a firm performs in terms of export volume and export propensity.

This article investigates the impact of social interactions on household entrepreneurial behavior using the data of the China Family Finance Survey (CHFS) in 2015. The results show that social interaction has a positive influence on household entrepreneurship. More social interactions are associated with a higher likelihood of participating in both business and agricultural entrepreneurship. Moreover, the positive effect of social interaction on entrepreneurship increases with the relaxation of financial constraints faced by households. Finally, entrepreneurship is more motivated by social interaction for women than men. The results obtained in the benchmark are testified to be reliable after addressing the potential endogeneity of social interactions and using a different regression method.