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Research on the impact of inward foreign direct investment (IFDI) on new venture creation has primarily focused on the country level, often yielding inconsistent findings. To reconcile these inconsistencies, we develop a theory on the influence of IFDI stock on new venture creation at the industry-regional level, offering three possible complementary explanations. Drawing on learning and competiti...
AbstractAs a long-standing regulatory instrument in China's capital market, the semi-mandatory dividend policy—linking refinancing eligibility to a minimum dividend payout ratio—may have unintended consequences for firm innovation. Using panel data on A-share listed firms from 2000 to 2019, this study identifies the causal effect of reaching the exogenously imposed “dividend threshold” on in...
AbstractFinancial derivatives are widely recognized for their effectiveness in managing interest rate risk, demonstrating the principle of comparative advantage in finance. However, traditional financial derivative transactions are often complex and can expose participants to market and credit risks. To mitigate these risks, reduce transaction costs, and enhance liquidity, this paper proposes a bl...
Research SummaryUnderstanding the sources of firm performance is central to global strategy research, with home country differences traditionally viewed as critical. However, empirical evidence on home countries' evolving influence remains limited. Using variance decomposition techniques, we analyze 43,304 firms (589,149 observations) across 102 countries from 1993 to 2022. While home country ...
In this article, we use eXtreme Gradient Boosting (XGBoost) to examine the factors that determine the success of an IPOand how these factors interact. We find that, among various variables related to the investment history of the investor andinvestee firms, the total number of fund investors (TNFund), the capital under management of the firm investor (FCUM), thedays between the first investment da...
Abstract:The wake effect, which significantly degrades the power output of a wind farm, has prompted widespread consideration of the farm-level power generation optimization problem. However, the optimization problem is highly challenging when a large-scale wind farm encounters highly dynamic wind conditions. To address this issue, we proposed a semi-decentralized data-model-driven optimization sc...
Investment-financing maturity mismatches are common among firms worldwide, yet little is known about how government interventions can tackle them. This paper investigates China's Industry-Finance Cooperation Pilot Program as a quasi-natural experiment to examine whether, to what extent, and through what mechanisms government policies can address maturity mismatches. Using a multi-period differ...
AbstractThis paper develops a nonparametric test for general functional inequalities that include conditional moment inequalities as a special case. It is shown that the test controls size uniformly over a large class of distributions for observed data, importantly allowing for general forms of time series dependence. New results on uniform growing dimensional Gaussian coupling for general mixinga...
While public attitudes regarding climate change have been widely explored in the global north, survey work is still limited in the global south countries. Here we analysed survey data (n = 8,400) from Chile, Colombia, India, Kenya, Nigeria, South Africa and Vietnam to understand climate knowledge, trusted information sources and policy preferences. Our results indicate that scientists stand out as...
Urban computing leverages data analysis to improve urban areas’ efficiency and sustainability, tackling tasks like traffic management, crime forecasting, and air quality predictions. Current models, while efficient, often struggle with tasks beyond their initial training due to limited flexibility. Typically, new tasks require developing specialized models, which may not perform optimally with li...
AbstractThe literature shows that social media enhances individual stakeholders’ ability to directly influence firm behaviors, paying less attention to how it enables different stakeholder groups to influence firms collectively. Drawing on the stakeholder multiplicity perspective in stakeholder theory, this study theorizes and empirically demonstrates that social media can empower lower-salience ...
Bearings are essential and crucial components of rotating machinery. Bearing faults can jeopardize the safe operation of mechanical equipment and diminish production efficiency. Anomaly detection (AD) has been recognized as a solution, but its effectiveness is still hindered by lack of abnormal samples and uncertainties resulted from variable speed. In this study, an AD scheme is proposed for bear...
