AGRI-ENVIRONMENTAL PROGRAMS IN THE UNITED STATES AND THE EUROPEAN UNION

Agricultural and Food Policy, Environmental Economics and Policy,

CAUSES OF MULTIFUNCTIONALITY: EXTERNALITIES OR POLITICAL PRESSURE

Resource /Energy Economics and Policy,

Agri-environmental Policy in the European Union: Who's in Charge?

The EU has argued that some agricultural subsidies are needed to provide the optimal amount of externalities (both positive and negative) produced by agriculture. The argument is that agriculture is "multifunctional" and externalities such as rural development and landscape would be underproduced, while some forms of pollution (such as nitrogen runoff) would be overproduced without government intervention. Meanwhile, the United States has raised the concern that multifunctionality is primarily an argument to transfer income to producers. One way to try and determine how much of these non-commodity payments are directed to externalities and how much is intended to distribute income to producers is to analyze the variation of the programs among the different member states of the EU. We estimate the degree to which environmental characteristics, agricultural characteristics and political economy variables determine the objective and amount of funding each member states uses to address environmental externalities (both positive and negative). Results indicate that little of the variance in agri-environmental expenditure can be explained by the difference in negative externalities, neither is there clear evidence that the payments are substituting for traditional agricultural subsidies. However, demand for environmental services and political variables seem to be the driving motivators behind a country's decision to spend money on agri-environmental programs.Environmental Economics and Policy,

Agri-environmental Policy in the European Union: Who's in Charge?

European Union (EU) agri-environmental programmes (AEPs) represent a significant step in the region's efforts to decouple agricultural output from production and export subsidies. While AEPs comprise only a small share of EU agricultural support, they have two possible external impacts: 1) the composition of the EU's imports and exports may change as their producers become more market responsive; and 2) the WTO's Green Box (subsides considered minimally trade distorting and hence not disciplined) may become increasingly contentious. Our concern is with the drivers of AEPs in the EU and their implications for Canada.Environmental Economics and Policy,

Causes of Multifunctionality: Externalities or Political Pressure?

The EU has argued that some agricultural subsidies are needed to provide the optimal amount of externalities (both positive and negative) produced by agriculture. The argument is that agriculture is "multifunctional" and externalities such as rural development and landscape would be underproduced, while some forms of pollution (such as nitrogen runoff) would be overproduced without government intervention. Meanwhile, the United States has raised the concern that multifunctionality is primarily an argument to transfer income to producers. In this paper, we discuss the motivation for the EU agri-environmental measures and empirically test for those underlying causes. We find that the programs are not targeted at those regions with the highest environmental need, but neither are they purely a substitute for traditional forms of agricultural subsidies. Demand for general environmental expenditure does influence agri-environmental expenditure as well, as does political structure.Environmental Economics and Policy,

Transcriptional Response of Selenopolypeptide Genes and Selenocysteine Biosynthesis Machinery Genes in Escherichia coli during Selenite Reduction

This work was supported by a United States Department of Agriculture-Cooperative State Research, Education, and Extension Service grant (no. 2009-35318-05032), a Biotechnology Research grant (no. 2007-BRG-1223) from the North Carolina Biotechnology Center, and a startup fund from the Golden LEAF Foundation to the Biomanufacturing Research Institute and Technology Enterprise (BRITE).Bacteria can reduce toxic selenite into less toxic, elemental selenium (Se0), but the mechanism on how bacterial cells reduce selenite at molecular level is still not clear. We used Escherichia coli strain K12, a common bacterial strain, as a model to study its growth response to sodium selenite (Na2SeO3) treatment and then used quantitative real-time PCR (qRT-PCR) to quantify transcript levels of three E. coli selenopolypeptide genes and a set of machinery genes for selenocysteine (SeCys) biosynthesis and incorporation into polypeptides, whose involvements in the selenite reduction are largely unknown. We determined that 5 mM Na2SeO3 treatment inhibited growth by ∼50% while 0.001 to 0.01 mM treatments stimulated cell growth by ∼30%. Under 50% inhibitory or 30% stimulatory Na2SeO3 concentration, selenopolypeptide genes (fdnG, fdoG, and fdhF) whose products require SeCys but not SeCys biosynthesis machinery genes were found to be induced ≥2-fold. In addition, one sulfur (S) metabolic gene iscS and two previously reported selenite-responsive genes sodA and gutS were also induced ≥2-fold under 50% inhibitory concentration. Our findings provide insight about the detoxification of selenite in E. coli via induction of these genes involved in the selenite reduction process.Publisher PDFPeer reviewe

Large-scale Roll Out of Electronic Longitudinal Mood-Monitoring for Research in Affective Disorders: Report From the UK Bipolar Disorder Research Network

Background Electronic longitudinal mood monitoring has been shown to be acceptable to patients with affective disorders within clinical settings, but its use in large-scale research has not yet been established. Methods Using both postal and email invitations, we invited 4080 past research participants with affective disorders who were recruited into the Bipolar Disorder Research Network (BDRN) over a 10 year period to participate in online weekly mood monitoring. In addition, since January 2015 we have invited all newly recruited BDRN research participants to participate in mood monitoring at the point they were recruited into BDRN. Results Online mood monitoring uptake among past participants was 20, and among new participants to date was 46 with participants recruited over the last year most likely to register (61). More than 90 mood monitoring participants engaged for at least one month, with mean engagement period greater than one year (58 weeks) and maximum engagement for longer than three years (165 weeks). There were no significant differences in the proportion of past and new BDRN participants providing data for at least 4 weeks (91, 92 respectively), 3 months (78, 82), 6 months (65, 54) or one year (51, 44). Limitations Our experiences with recruiting participants for electronic prospective mood monitoring may not necessarily generalise fully to research situations that are very different from those we describe. Conclusions Large-scale electronic longitudinal mood monitoring in affective disorders for research purposes is feasible with uptake highest among newly recruited participants

Adverse Childhood Life Events and Postpartum Mood Episodes in Bipolar Disorder

Background: The early postpartum has been established as a period of increased vulnerability for psychiatric mood illness. Women with bipolar disorder (BD) in particular are at elevated risk of postnatal depression (PND) and of postpartum psychosis (PP). Though adverse childhood life events (ACLEs) have been implicated in the aetiology of PND, this has rarely been studied in relation to PP. Furthermore, despite being at high risk of relapse following childbirth, little research has assessed the relationship between ACLEs and postnatal mood episodes (PNEs) exclusively in women with BD. Therefore, our aim was to explore associations between ACLEs and occurrence of both PND and PP in a large sample of women with BD. Methods: Participants were 665 parous women with BD who had been recruited into the Bipolar Disorder Research Network study. Diagnoses and lifetime psychopathology were obtained via a semi-structured interview (SCAN). Postnatal psychiatric history and experience of 7 ACLEs were also assessed. Where available, all information obtained at interview was confirmed from psychiatric case notes. Women were classified into three groups according to postnatal psychiatric history: 1) those who had experienced no postnatal mood episode (no PNE, n=224), 2) women with a history of PND (n=223) and 3) women who had experienced PP (n=208). A Pearson’s chi-square test was used to compare the prevalence of each type of ACLE between women in the no PNE group and those with a history of PND or PP. Results: Women with PND were significantly more likely to have experienced emotional, sexual or physical abuse in childhood compared with women who had no history of a PNE (p<0.05). In particular, childhood sexual abuse was reported significantly more in the PND than the no PNE group (P<0.05). In contrast, there were no significant differences in the frequency of reporting of any ACLEs between women who had no PNE and those with PP. Conclusions: Our findings indicate that childhood abuse, sexual abuse in particular, is associated with PND among women with BD. In contrast, we found no evidence for an association between any ACLE and PP, suggesting that biological factors are likely to play a more important role in the aetiology of psychosis in the early postpartum

Agitated Depression in Bipolar Disorder

Objectives It has been suggested that agitated depression (AD) is a common, severe feature in bipolar disorder. We aimed to estimate the prevalence of AD and investigate whether presence of AD was associated with episodic and lifetime clinical features in a large well‐characterised bipolar disorder sample. Method The prevalence of agitation, based on semi‐structured interview and medical case‐notes, in the most severe depressive episode was estimated in 2925 individuals with DSM‐IV bipolar disorder recruited into the UK Bipolar Disorder Research Network. Predictors of agitation were ascertained using symptoms within the same episode and lifetime clinical features using multivariate models. Results 32.3% (n=946) experienced agitation during the worst depressive episode. Within the same episode, significant predictors of presence of agitation were: insomnia (OR 2.119, p<.001), poor concentration (OR 1.966, p=.027), decreased libido (OR 1.960, p<.001), suicidal ideation (OR 1.861, p<.001), slowed activity (OR 1.504, p=.001), and poor appetite (OR 1.297, p=.029). Over the lifetime illness course, co‐morbid panic disorder (OR 2.000, p<.001), suicide attempt (OR 1.399, p=.007), and dysphoric mania (OR 1.354, p=.017) were significantly associated with AD. Conclusions Agitation accompanied bipolar depression in at least one‐third of cases in our sample and was associated with concurrent somatic depressive symptoms, which are also common features of mixed manic states. Furthermore, AD in our sample was associated with lifetime experience of mixed mania, in addition to severe lifetime illness course including comorbid panic disorder and suicidal behaviour. Our results have implications for the diagnosis and treatment of agitated features in bipolar depression

The Interactive Effect of Major Depression and Nonsuicidal Self-Injury On Current Suicide Risk and Lifetime Suicide Attempts

Objectives: This study examined the main and interactive effects of MDD and lifetime nonsuicidal self-injury (NSSI) on current suicide risk and past suicide attempts. We predicted that individuals with a history of NSSI and current MDD would be at greater suicide risk than those with either risk factor alone. An interaction between lifetime MDD and NSSI was hypothesized for past suicide attempts. Methods: 204 substance dependent inpatients completed self-report measures and a diagnostic interview. Results: Patients with both a history of NSSI and current MDD, relative to all other groups, had the greatest suicide risk. No support was found for the lifetime MDD by NSSI interaction. Conclusion: Findings suggest the relevance of both NSSI and MDD in suicide risk