Towards a Successful Post COVID-19 Transition of Monitoring, Evaluation, and Learning in Complex Sustainability Science Research-to-Policy Projects

There is an emerging body of literature focusing on the COVID-19 livelihoods and environmental impacts, as well as the effects of the pandemics on evidence generation. However, little attention has been paid to how COVID-19 has—and is likely to continue to—affect monitoring, evaluation, and learning (MEL) systems, specifically in the context of large sustainability science research-to-policy project consortia. Here, we provide a conceptual framework of MEL responsiveness to COVID-19 effects and discuss the specific pathways to successful MEL transition. Using the UKRI GCRF TRADE Hub as a case study, we provide some examples of possible adjustments within the new context

Childhood trauma and adulthood inflammation:a meta-analysis of peripheral C-reactive protein, interleukin-6 and tumour necrosis factor-α

Childhood trauma confers higher risk of adulthood physical and mental illness; however, the biological mechanism mediating this association remains largely unknown. Recent research has suggested dysregulation of the immune system as a possible biological mediator. The present paper conducted a meta-analysis to establish whether early-life adversity contributes to potentially pathogenic pro-inflammatory phenotypes in adult individuals. A systematic search of Pubmed, PsycINFO, EMBASE, Scopus and Medline identified 25 articles for the meta-analysis, including 18 studies encompassing a sample of 16 870 individuals for C-reactive protein (CRP), 15 studies including 3751 individuals for interleukin-6 (IL-6) and 10 studies including 881 individuals for tumour necrosis factor-α (TNF-α). Random-effects meta-analysis showed that individuals exposed to childhood trauma had significantly elevated baseline peripheral levels of CRP (Fisher's z=0.10, 95% confidence interval (CI)=0.05–0.14), IL-6 (z=0.08, 95% CI=0.03–0.14) and TNF-α (z=0.23, 95% CI=0.14–0.32). Subgroup analyses for specific types of trauma (sexual, physical or emotional abuse) revealed that these impact differentially the single inflammatory markers. Moreover, meta-regression revealed greater effect sizes in clinical samples for the association between childhood trauma and CRP but not for IL-6 or TNF-α. Age, body mass index (BMI) and gender had no moderating effects. The analysis demonstrates that childhood trauma contributes to a pro-inflammatory state in adulthood, with specific inflammatory profiles depending on the specific type of trauma

Linking agribusiness and small-scale farmers in developing countries: Is there a new role for contract farming?

This article examines a new role for contract farming in developing countries in the light of the industrialisation of agriculture and the globalisation of world markets. A theoretical rationale for contracting in developing countries is developed on the basis of adopting new institutional economic theory for the purpose of matching governance forms to market failure problems and transaction characteristics. The history of contract farming is reviewed, together with the advantages and disadvantages to the various players, for the purpose of developing a list of key success factors, problems and some possible solutions.

The explanatory and predictive power of different specifications of the Ohlson (1995) valuation models

Accounting-based valuation studies of US firms tend to support Ohlson's proposition that residual income and book value numbers have information content in explaining observed market values. But European evidence also suggests that the conservative/liberal orientation of accounting tradition can produce significant national differences in associations between accounting performance measures and stock prices - in earnings behaviour, coefficient values and parameter sensitivity. We address these issues from an equity valuation perspective using Swedish data to assess the additional information content of Ohlson's information dynamics and analysts' forecasts in relation to market valuations in a more conservative accounting environment than the US. The study compares the explanatory and predictive power of Ohlson's (1995) residual income model (RIV) with a linear information dynamics version (LIM) that specifies both residual income and non-accounting information as autoregressive processes. Both versions are applied with, and without, future performance expectations from non-accounting sources (analysts' forecasts). As with US evidence, we find that the inclusion of analysts' forecasts improves both (i) cross-sectional correlations with current prices for both RIV and LIM models and (ii) the predictive power of RIV models in relation to future annual cross-sectional stock returns. The contribution of linear information dynamics is significant but varies across approaches. We also find significant differences between Swedish and US firms in earnings behaviour and associations between accounting numbers and market equity prices.