Xiang Yin (尹 翔)

Analyzing approximately 2,000 applicants to a UK seed fund, this study examines how venture capital (VC) due diligence affects startup outcomes independent of funding decisions. Leveraging random reviewer assignment, we find that due diligence increases two-year growth but lowers continuation rates among non-funded applicants, reflecting a dynamic of accelerated scaling or exit. Evidence points to a learning mechanism: due diligence exposes founders to advanced website technologies, prompting capability-building in digital skills. Firms selected for due diligence adopt these technologies, even before raising external capital. The findings highlight VC due diligence as a formative process influencing startups beyond the funded few.

As many ESG rating agencies have flourished to meet rising interests in ESG investing, we examine the information provider role of these rating agencies. We hypothesize that new ratings can add information useful to investors about rated firms besides any changes to the average level and dispersion in ratings. We exploited the empirical setting where the introduction of various ESG ratings in China is staggered over time and across firms. We show that an increase in the number of ratings by different agencies for a given firm will induce more mutual funds’ investments towards that firm. This is unexplained by rating inflation or rating shopping channels. We further show that such effect is more pronounced when incumbent and entrant agents provide complementary information. For different types of funds, we find different sensitivities to the arrival of new agents in accordance with their explicit requirements for ESG mandate. And interestingly ESG funds that track ESG indices are not responsive to new ratings as ESG indices are sticky in choosing the reference rating. We also provide evidence that the documented effects are not due to endogenous actions taken by incumbent agencies or firms. Our paper proviacrossdes interesting and causal evidence of the incremental information from additional ESG ratings which have important implications for the market competition and regulations of ESG rating agencies.

We study whether accelerators shape employees’ careers. Drawing on employee-level resume data across the Americas and a Colombian natural experiment with wage records, we find that employees of accelerator-backed startups are more likely to become managers in other firms, earn higher wages, and face no added unemployment risk compared to peers at non-accelerated startups. These effects emerge quickly, persist over time, and occur regardless of whether the startup itself succeeds or fails. They are primarily driven by human capital accumulation, with selection, search, and signalling unable to fully explain the results. Accelerators thus create employee-level spillovers and serve as institutions of skill formation in the innovation economy.

Assessing innovative start-ups at an early stage poses critical challenges. We ask if technology- oriented experts bring additional values to the screening of high-quality ventures by venture capitalists (VCs). We exploit administrative data from a prestigious start-up competition in Shanghai in which both VCs and scientists serve as judges to select high-potential ventures to receive grants. We find that VCs and scientists take different approaches to evaluating start-ups. Furthermore, insights from scientist-judges are complementary to those from the VCs in predicting subsequent innovation performances of start-ups. However, non-judge VCs fail to incorporate scientist-judges’ insights when contestant ventures subsequently seek for funding. Our study speaks to the values of technology-proficient human capital to improving the efficacy of screening high- potential start-ups.

Does the quality of government have real effects on economic activities? I provide micro evidence from the housing market and firms’ borrowing behaviours in London. I focus on a single-dimension and verifiable task of bureaucrats—the permission for development plans of new buildings or house renovations to measure the quality of government. Using a hand-collected dataset of over 2.2 million planning applications from 2000 to 2020 in London, I show there is a causal and positive relationship between the speed of the application approval and the trading and value of both residential and commercial properties. Firms that own properties in London increase their chance of creating collateralized loans when exposed to faster planning approval. The effects arise because the timing of property development is important to households and firms. The delay in planning permission will lead them to abandon the project and change behaviours in housing markets and borrowing.