We collect the geographical dataset of bank physical branch in China from 2008 to 2023, obtaining the 261,382 branches. Through careful data processing, we calculate the bank branch closure at city-level and merge it with regional entrepreneurship in China. With the panel dataset at city-industry-year level, we find that bank branch closure (BBC) significantly reduces neighbor entrepreneurship, which is proxied by the number of new firm entry. In mechanism analysis, we document that bank branch closure affects entrepreneurship through the financing channel and mobility channel. We also find that commercial bank branch closure plays a crucial role in affecting entrepreneurship. The reduction effect of BBC is more pronounced for those observations located in geographical intersections, coastal lines. Further, we explore the impact of BBC on the direction of entrepreneurship, showing that there is less new firm formation in manufacture industry after the BBC. In addition, we show that BBC may contribute to the entrepreneurship failure as well. Our findings may shed light on the policy makers, bank owners and those who want to form a new firm.

This study examines the effects of the robotic subsidy policy in China’s manufacturing sector. The demand-side subsidy policy aims at encouraging manufacturing firms to invest in robotics by lowering the cost of purchase. Our difference-in-difference analysis reveals distributional impacts of municipality-level robot subsidies on manufacturing firms of different scales. Although the subsidy brings a 14.2% increase in the application of robot patents, the facilitated access to robotics has not transformed into new firm entries. Strikingly, new firm entry decreases by 23.5% after the policy implementation. On the other hand, robot subsidies have increased the revenue, total asset, and employment of larger manufacturing firms by 9.8%, 6.9%, and 6.7%, respectively. To interpret the mechanism, we develop a simplified framework incorporating financial frictions into a task-based model. The model reveals that idiosyncratic borrowing costs lead to an inefficient equilibrium by generally depressing automation adoption and creating automation dispersion across firms. Such ex-ante distortion results in a uniform subsidy disproportionately benefiting firms with better capital access, thus creating a trade-off in terms of efficiency: while the subsidy can enhance overall automation, it simultaneously exacerbates automation dispersion. To quantify the efficiency implications, we embed this simplified model into a dynamic heterogeneous-agent framework, calibrated to the 2010 productivity distribution, financial frictions, and robot density in the industrial sector in China. Our dynamic model reveals that a 20% robot subsidy narrows the gap between mean and optimal automation level by 22% percentage points, while raises automation dispersion by 49%. This results in a 1.23% increase in aggregate output at the cost of a 2.40% decline in TFP. This dynamic model proposes a novel mechanism that automation exacerbates capital misallocation by enlarging asset accumulation dispersion between workers and entrepreneurs. Controlling for this dynamic feedback could enhance the subsidy-induced output gain by an additional 26%

We examine the rise of cloud computing and AI in China and its impact on industry dynamics. We find that industries that depend more on cloud infrastructure experience a higher increase in firm entry and exit after cloud computing expands in China. The positive relation with firm exit is driven by the increased exit through business failure and adjustments. We also compare cloud computing to artificial intelligence (AI) and show a differential effect of these technologies on exit. For AI, larger incumbents are less likely to exit. M&A is also more likely for cloud computing but not for AI. Concentration decreases post-cloud computing expansion but increases post-AI. These findings point to changes in competition from new technologies but with differential effects based on which types of firms are likely to adopt new technologies.

We examine the rise of cloud computing in China and its impact on industry dynamics. We find that industries which depend more on cloud infrastructure experience a higher increase in firm entry and exit after cloud computing expands in China. The positive relation with firm exit is driven by the increased exit through business failure and adjustments as well as the increase in the exit of less productive incumbents. Despite the large numbers of firms that exit, the number of firms increases as entryaccelerates and the competition increases in industries with more exposure to cloud infrastructure. The average age of firms also becomes younger in industries with more exposure to cloud infrastructure. Finally, we show that equity financing increases for industries impacted by cloud computing and the positive impact is more pronounced for younger firms. These findings point to increased competition and increased industry churn through the technological effects of cloud computing.

Using a new case-level dataset we document a set of stylized facts on bankruptcy in China and study how the staggered introduction of specialized courts across Chi- nese cities affected insolvency resolution and the local economy. For identification, we compare bankruptcy cases handled by specialized versus traditional civil courts within the same city and filed in the same year. We find that specialized courts decrease case duration by 36% relative to traditional civil courts. We provide evi- dence consistent with court specialization increasing efficiency via selection of better trained judges and higher judicial independence from local politicians. We docu- ment that cities introducing specialized courts experience a relative reallocation of employment out of zombie firms-intensive sectors, as well as faster firm entry and a larger increase in average capital productivity.