Bundling digitized logistics activities and its performance implications

Bundling information technology (IT) applications to support logistics activities provides a means for firms to improve their logistics performance. Grounded in the logistics management and management information systems literature, as well as the resource-based view (RBV) of the firm, this study empirically: (i) investigates if there exist digitized logistics activities bundles in firms; and if so, (ii) explores the association between digitized logistics activities bundles and logistics performance of firms in terms of logistics cost and logistics service improvements. We surveyed 227 trading firms in Hong Kong and performed a factor analysis of the survey data, from which we identified three digitized logistics activities bundles and found the sample firms were clustered into four types based on the patterns of their digitized logistics activities. We then carried out a MANOVA on the data, the results of which show that different patterns of digitizing logistics activities are associated with different logistics performance outcomes. Specifically, firms with more extensive digitized logistics activities bundles and utilizing them more intensively achieve better logistics performance. Academic and managerial implications for digitizing logistics activities to improve logistics performance are discussed.     

Testing for UIP-Type Relationships: Nonlinearities,Monetary Announcements and Interest Rate Expectations

Open Economies Review - This paper tests for UIP-type relationships by estimating first a benchmark linear Cointegrated VAR including the nominal exchange rate and the interest rate differential as...     

What Can We Learn from Droppers and Non-adopters About the Role of Advice in Agricultural Innovation?

In this article we assess the diversity of sources of advice identified by 678 adopters, 295 non-adopters and 107 droppers (or dis-adopters, who have ceased or reduced the use) of agricultural innovations across 13 European countries. For most innovations, the volume and composition of advisory supports (e.g. public advisory services, farm business organisations, NGOs, research and development sector, other farmers), at the whole farm level were similar between adopters, non-adopters and droppers. However, there were significant differences in relation to specific innovations. Farmers adopting digital technologies, soil-improving cropping systems, and common management of natural resources identified more diverse sources when assessing innovations, suggesting that more diverse advisory support supported successful implementation. For new on-farm activities, non-adopters had more varied sources of advice than adopters. This demonstrates that non-adoption can be a well-informed decision. Droppers typically identified fewer sources of advice on an innovation than adopters, particularly in the later stages of the innovation process, suggesting that lack of advice impeded successful implementation. The findings suggest that public funding for advisory services could usefully target emergent gaps: to support the provision of up-to-date advice on topics to farmers who have difficulty accessing advice, and to prevent unnecessary dropping by supporting the implementation of innovations.     

Shadow rates as a measure of the monetary policy stance: Some international evidence

This paper examines the usefulness of shadow rates to measure the monetary policy stance by comparing them to the official policy rates and those implied by three types of Taylor rules in both inflation-targeting countries (the UK, Canada, Australia and New Zealand) and others that have only targeted inflation at times (the United States, Japan, the Euro Area and Switzerland) over the period from the early 1990s to December 2021. Shadow rates estimated from a dynamic factor model are shown to suggest a much looser policy stance than either the official policy rates or those implied by the Taylor rules, and generally to provide a more accurate picture of the monetary policy stance during both ZLB and non-ZLB periods, since they reflect the full range of unconventional policy measures used by central banks. Furthermore, generalised impulse response analysis based on three alternative vector autoregression (VAR) models indicates that monetary shocks based on the shadow rates are more informative than those related to the official policy rates or to two- and three-factor shadow rates, especially during the Global Financial Crisis and the recent COVID-19 pandemic, when unconventional measures have been adopted. Finally, unconventional policy shocks seem to have less persistent effects on the economy in countries, which have adopted an inflation-targeting regime.     

Real-time revenue and firm disclosure

Review of Accounting Studies - We examine firm disclosure choice when information is received on a real-time, continuous basis. We use transaction-level credit and debit card sales for a sample of...     

Examining the carbon emission impact of livelihood transitions in pro-poor tourism

This study examines carbon dioxide (CO₂) emission changes from livelihood transitions during tourism development to assess the environmental impact of pro-poor tourism (PPT) in China. The results indicate that livelihood transitions during PPT increased household income but also produced more CO₂ emissions. CO₂ emissions vary depending on factors including livelihood types after transition, income and household sizes, etc. The CO₂ per unit of income from tourism-based livelihoods is higher than from non-tourism-based livelihoods. Different livelihood strategies post transition also affect emissions. Practical suggestions that may mitigate emissions while not compromising residents’ income levels are provided.