James Crabbe

Prof. James Crabbe

wolfson college, oxford university
orcid

Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2008 in Computational Biology and Chemistry
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Journal Article
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James CrabbeJames Crabbe
James Crabbe

24 March 2021 in Sustainability
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YCYaowei Cao
Yaowei Cao
YZYoutang Zhang
Youtang Zhang
LYLiu Yang
Liu Yang
Rita Yi Man LiRita Yi Man Li
Rita Yi Man Li
James CrabbeJames Crabbe
James Crabbe
A major issue is whether the implementation of China’s green credit policy will affect the coordinated development of corporate sustainable operations and environmental protection. This paper used a propensity score matching—difference-in-differences (PSM-DID) model to analyse the impact of China’s green credit policy implemented in 2012 on the maturity mismatch risk between investment and financing in polluting and non-polluting companies. We found that: (1) green credit policies can help reduce the risk of maturity mismatch between investment and financing for polluting companies; (2) the reduction of short-term bank credit is the main way to curb the risk of maturity mismatch risk between investment and financing; (3) the green credit policy has no obvious mitigation effect on the risk of maturity mismatch between investment and financing among polluting companies with environmental protection investment; (4) the mitigation effect of the green credit policy on the maturity mismatch risk is more significant in state-owned polluting companies and polluting companies in areas with a lower level of financial development. The empirical results show that China’s green credit policy helps stimulate the environmental protection behaviour of companies, as well as helping alleviate the capital chain risk caused by the maturity mismatch between investment and financing. In addition, despite the effect of heterogeneity, it can solve the contradiction between environmental protection and economic development.

10 February 2026 in Nature Communications
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Open access
CEC. Mark Eakin
C. Mark Eakin
SHScott Heron
Scott Heron
SCSean Connolly
Sean Connolly
DDDenise A. Devotta
Denise A. Devotta
GLGang Liu
Gang Liu
DMDerek Manzello
Derek Manzello
Ocean warming is increasing the frequency, extent, and severity of tropical-coral bleaching and mortality. During 2014–2017, marine heatwaves caused the Third Global Coral Bleaching Event. We analyze data from 15,066 reef surveys globally during 2014–2017. Across all surveyed reefs, 80% and 35% experienced moderate or greater (affecting >10% of corals) bleaching and mortality, respectively. We assess the global extent of coral bleaching and mortality by applying bleaching response curves calibrated from surveyed reefs to predict bleaching globally, based on comprehensive remote-sensing of heat stress. These models predict that 51% and 15% of the world’s coral reefs suffered moderate or greater bleaching and mortality, respectively, during one or multiple years, surpassing damage from any prior global coral bleaching event. Our findings demonstrate that the impacts of ocean warming on coral reefs are accelerating, with the near certainty that ongoing warming will cause large-scale, possibly irreversible, degradation of these essential ecosystems. With heat stress levels during this event surpassing those observed previously, the National Oceanic and Atmospheric Administration developed more extreme Bleaching Alert levels that are now being used during the ongoing Fourth Global Coral Bleaching Event.

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XYXiao-Guang YUE
Xiao-Guang YUE
Xue-Feng ShaoXue-Feng Shao
Xue-Feng Shao
Rita Yi Man LiRita Yi Man Li
Rita Yi Man Li
James CrabbeJames Crabbe
James Crabbe
LMLili Mi
Lili Mi
GLGang Liang
Gang Liang
Recently, a novel coronavirus pneumonia (2019–nCoV) outbreak occurred in Wuhan, China, rapidly spreading first to the whole country, and then globally, causing widespread concern. From the perspectives of early warning and identification of risk, risk monitoring, and analysis, as well as risk management and handling, we propose corresponding solutions and recommendations, which include institutional cooperation, and to inform national and international policy-makers.

Verified
Journal Article
Open access
PDF file
XYXiao-Guang YUE
Xiao-Guang YUE
Xue-Feng ShaoXue-Feng Shao
Xue-Feng Shao
Rita Yi Man LiRita Yi Man Li
Rita Yi Man Li
James CrabbeJames Crabbe
James Crabbe
LMLili Mi
Lili Mi
Rebecca Kechen DONGRebecca Kechen DONG
Rebecca Kechen DONG
This study first analyzes the national and global infection status of the Coronavirus Disease that emerged in 2019 (COVID-19). It then uses the trend comparison method to predict the inflection point and Key Point of the COVID-19 virus by comparison with the severe acute respiratory syndrome (SARS) graphs, followed by using the Autoregressive Integrated Moving Average model, Autoregressive Moving Average model, Seasonal Autoregressive Integrated Moving-Average with Exogenous Regressors, and Holt Winter’s Exponential Smoothing to predict infections, deaths, and GDP in China. Finally, it discusses and assesses the impact of these results. This study argues that even if the risks and impacts of the epidemic are significant, China’s economy will continue to maintain steady development.