This article develops a model in which an intermediary uses a supply chain finance (SCF) program to fund suppliers. The SCF program pools liquidity from suppliers and meanwhile provides immediate payment to suppliers with pressing liquidity needs. We show that the intermediary optimally selects not only suppliers with positive profitability but also suppliers with negative profitability who, however, contribute to the liquidity pool. Inserting the model to an otherwise standard monetary framework, we show that with higher nominal interest rates, the SCF program emphasizes the liquidity contribution more and the profitability contribution less. Deviating from the Friedman rule, where only suppliers with positive profitability are selected, may lead to welfare gains.

We estimate the financial and real effects of a subsidy program on imported capital goods recently implemented in China. We identify ffrms that have access to the subsidy program by combining data on catalogues of eligible products periodically released by the government and product-level import data. Our findings demonstrate that following the implementation of the program, eligible firms experience an increase in borrowing and gain access to loans at lower interest rates compared to non-eligible firms. This improved financial situation enables them to expand their fixed-asset investments, increase total output, and enhance their export performance. The expansion of production capacity also leads to improved investment efffciency and greater profitability. Further analysis reveals that the effects of the policy are particularly pronounced for non-state-owned enterprises and small firms in relatively competitive industries. This finding suggests that these firms face ex-ante financial constraints, and their marginal rate of return to capital is large.

在二零二三年十一月十四日的行业研究报告中，国信证券的王剑研究 员提到日韩两国在发展的后期在资本市场中以投资高技术为主的私募主权 基金逐步替代以投资传统制造业为主的银行贷款，虽然没有提到相关文献， 不过如果属实的话似乎也不失为一个值得研究的有意思问题。由此产生的 问题包括但不限于在全球经济体的发展中是否都存在这一现象?私募股权 基金与高技术产业的发展之间有什么相关性?这些可能都会成为一个有意 思问题。

We provide firm-level evidence on the real effects of shadow banking in terms of technological innovation. Firm-to-firm entrusted loans, the largest part of the shadow banking sector in China, enhance the borrowers’ innovation output. The effects are more prominent when the borrowers are subject to severer financial constraints, information asymmetry, and takeover exposures. A plausible underlying channel is capital reallocations from less productive but easy-financed lender firms to more innovative but financially less-privileged borrower firms. Our paper suggests that shadow banking helps correct bank credit misallocations and thus serves as a second-best market design in financing the real economy.

We document a speculation channel through which house market booms negatively affect entrepreneurship. To address endogeneity concerns, we exploit plausibly exogenous variation in house prices generated by staggered and unintended policy spillovers in China. We find house market speculation triggered by house booms crowds out entrepreneurship. Reduced labor supply, reduced capital supply, and heightened entry costs do not appear to explain our main findings. The negative effect exhibits in the OECD countries as well. Our paper complements the well-documented collateral channel by offering novel evidence on a previously under-explored adverse consequence of house market booms – their hindrance to entrepreneurship.

This paper studies how investing in venture capital (VC) affects the entrepreneurial outcomes of individual limited partners (LPs). Using comprehensive administrative data on entrepreneurial activities and VC fundraising and investments in China, we first document that individual LPs, on average, contribute about 50% of the capital of each fund in which they participate, and over 50% of them are entrepreneurs. We then exploit an identification strategy by comparing the entrepreneurial outcomes of individual LPs in funds that eventually launched with those in funds that failed to launch. The fraction of committed capital from corporate LPs in industries that subsequently encounter poor returns is used as an instrument for funds' launch failures. We find that after investing in a successfully launched VC fund, individual LPs create significantly more ventures than do LPs in funds which failed to launch. These new ventures tend to be high-tech firms and file more patents than do the LPs' prior ventures. We find evidence consistent with venture investments being a channel through which individual LPs learn.

This study examines the impact of ESG rating events on innovation in China's new energy vehicle industry. The baseline Difference-in-Differences (DID) analysis demonstrates that ESG ratings promote innovation among new energy vehicle companies. A series of robustness tests, including parallel trend analysis and placebo tests, support the baseline results. The channel tests in the mechanism analyses indicate that ESG ratings promote innovation in new energy vehicle enterprises by increasing R&D investment and the number of R&D personnel. Other mechanism analyses suggest that ESG ratings also enhance innovation output and quality by stimulating green patent applications, encouraging joint patent applications, and increasing the number of high-quality patents.

Digital financial inclusion narrows the gap in regional financial services, reshapes the pattern of regional division of labor, and improves regional economic efficiency. Based on China's provincial panel data from 2011 to 2020, this paper studies the theoretical logic and effect of digital financial inclusion on regional economic efficiency. We find that digital financial inclusion significantly improves regional economic efficiency, but with the development of digital financial inclusion, regional economic efficiency will first decline and then increase under the influence of digital financial inclusion. Moreover, digital financial inclusion mainly alleviates the phenomenon of financial exclusion with the support of provincial transportation infrastructure and traditional financial development, improves the availability of factors in vulnerable areas and groups, and thus improves the overall regional economic efficiency. Then, this promotion effect is based on a certain level of economic development and traditional financial development. Finally, digital financial inclusion can improve regional economic efficiency by increasing entrepreneurial activity and narrowing the gap in educational level between regions.

This paper explores the impact of the three kinds of heterogeneity of the executive team on the enterprise's total factor productivity and the mechanism of the impact of the heterogeneity of the executive team on the enterprise's total factor productivity, with the Shanghai and Shenzhen A-share listed companies in China as the research samples in the period of 2010-2022. The final results of the study found that (1) the heterogeneity of the professional background of the executive team, the heterogeneity of the overseas experience, and the heterogeneity of the financial background of the military contribute to the increase in the total factor productivity of the enterprise. (2) Improving the financial flexibility of the enterprise, improving the quality of the internal control of the enterprise, and improving the research and development and innovation of the enterprise are effective paths for the rise in the level of the enterprise's total factor productivity.

We propose a deep reinforcement learning method to improve pairs trading by identifying nonlinear relationships in stock news. Using the CSI 300 index constituents from 2015 to 2022, we integrated cointegration and news co-occurrence analysis in asset pairing and used a threshold-based approach in trading design. Results showed our NEWS-CO-DRL method, fusing deep learning and news co-occurrence, outperformed in return generation and risk control, indicating its potential for the Chinese A-share market.