丛林教授论文获得国际A类期刊接受发表，聚焦区块链环境监测丨学术

We explore the effects of a blockchain-based environmental monitoring technology on emissions. Our model of firm competition in the presence of regional regulators reveals that blockchain adoption reduces industrial pollution but triggers business relocation, creating trade-offs between local emission reduction and economic contraction. When pollution-induced social losses are highly dispersed across cities, a partial-adoption equilibrium fails to mitigate aggregate emissions because of the pollution leakage. We further present the first piece of empirical evidence corroborating model predictions, by taking advantage of a recent regulation change in China. The concentrations of SO2, NO2, and CO in blockchain-adopting cities are on average 16.6 percent, 7.9 percent, and 4.6 percent, respectively, lower than other cities. However, blockchain-based monitoring disproportionately hurts the industrial sector, and the average economic growth are 1.8–2.6 percent lower than other cities. Firms in adopting cities open more non-local plants to avoid regulation.

自办学以来，学院已经有39位教授共180篇论文先后被国际著名学术期刊接受发表，其中127篇学术论文被国际A类（含A+、A、A-）期刊接受发表。学院师资团队秉承“复旦国金同心 卓越责任创新”的院训，全身心地投入学院学术研究工作，学术成果从数量到质量始终保持高位水平，充分反映出学院师资团队在学术研究领域的卓越实力。未来，学院将不断追求国际前沿科研成果，继续为推动一流金融学科和经济学科发展做出更大贡献。