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In this article, we introduce a new command, cspa, that implements the conditional superior predictive ability test developed in Li, Liao, and Quaedvlieg (2022, Review of Economic Studies 89: 843–875). With the conditional performance of predictive methods measured nonparametrically by the conditional expectation functions of their predictive losses, we test the null hypothesis that a benchmark mo...
This paper empirically investigates how customer email engagement affects the profitability of subscription service providers and retailers. They have been using email engagement to increase customer retention. However, it is unclear whether email engagement improves their profitability. The existing literature focuses on email engagement’s benefit of customer retention but ignores its associated...
利用中国健康与养老追踪调查(CHARLS)数据与北京大学数字普惠金融指数，本文研究了数字金融发展对我国老年人群金融风险资产投资行为的影响。研究发现，数字金融发展能够显著提升我国老年人群投资金融风险资产的概率和金额，进而有助于提高其财产性收入。数字金融发展对于受教育程度较高、居住于城镇和东部地区的老年人群具有更大的促进作用，这表明相关影响可能受限于“数字鸿沟”。此外，本文还发现数字金融发展所导致的金融服务便...
How do events, especially rare external events such as financial crises, wars, natural disasters, and the COVID-19 pandemic, affect the efficacy of entrepreneurial passion to drive organizational innovation? This study investigates the moderating role of events and entrepreneurs’ competence to exploit the events (opportunity competence) in the relationship between entrepreneurial passion and orga...
Regional inequalities are prevalent in all major economies. What are the effects of inclusive growth policies targeting economically disadvantaged regions? In this study, we examine how the East-West Poverty Alleviation Partnership, which pairs rich cities in East China with economically disadvantaged cities in West China, affects e-commerce trade. Using proprietary trade-flow data from Alibaba, w...
AbstractThe interlocks between smart product platforming (SPP) powered by Artificial Intelligence (AI) and Generative AI, big data analytics, and machine learning are still in their infancy. Modern technology-driven SPP promotes personalized product design and manufacturing suited to support environmentally friendly products for the circular economy. In this study, we develop a framework pertainin...
Bike-sharing for integrated public transport systems (BIPTS) offers an effective solution to the first- and last-mile problems. However, most existing studies have used overly simplified single-catchment area methods to identify BIPTS demands, and the driving factors and mobility patterns of BIPTS commuting demands have remained unclear. To fill this gap, a comprehensive framework for analyzing BI...
AbstractGreen finance is increasingly important in both academia and industry, yet the relationship between green bonds and bank loans remains largely understudied. In this study, we conduct an empirical investigation into the impact of the credit spreads of green bonds on the structure of debt financing. Our findings suggest that companies with larger credit spreads on green bonds in the secondar...
Drawing upon the theory of communication visibility, this research intends to investigate the direct effect of enterprise social media (ESM) usage on team members’ knowledge creation capability (KCC) and the mediating effects of psychological safety and team identification. In addition, it aims to untangle how the efficacy of ESM usage varies between pre- and post-COVID-19 periods.Design/methodol...
Innovation has been a key topic of interest for the regional studies community. In particular, the regional characteristics and impacts of innovation have been a popular theme of enquiry and theorisation, and the community has been at the forefront of discussions around regional innovation systems, in particular. However, we see a large gap in the current state of the art around frugal innovation....
AbstractEnsuring the safe transportation of energy relies heavily on the timely safety inspection and pigging of energy pipelines using in-pipe inspection robots known as Smart/Intelligent PIGs. Addressing the potential risks of PIG block incidents and the limitations of excessive speed in the maintenance, real-time localization and tracking of these inspection robots has become imperative. Howeve...
AbstractHigh-resolution large-scale urban traffic speed estimation is vital for intelligent traffic management and urban planning. However, single-source data from commonly used sources like cameras, loop detectors, or onboard devices exhibit limitations due to uneven distribution and significant noise, especially in large-scale urban areas. Consequently, existing approaches relying on these singl...
