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  1. Article ; Online: Characteristics of water quality mitigation measures that lead to greater adoption on farms.

    Cullen, Paula / Ryan, Mary / O'Donoghue, Cathal / Meehan, Noel

    Journal of environmental management

    2024  Volume 358, Page(s) 120698

    Abstract: Globally, agriculture is a significant pressure on water quality. While nutrient and sediment loss from agricultural land to water can be scientifically complex, mitigation measures primarily focus on reducing farm nutrient stocks or blocking loss ... ...

    Abstract Globally, agriculture is a significant pressure on water quality. While nutrient and sediment loss from agricultural land to water can be scientifically complex, mitigation measures primarily focus on reducing farm nutrient stocks or blocking loss pathways. The appropriateness of mitigation measures is dependent on the identification of specific context-related risks on individual farms. However, advisers also need to consider the likelihood of uptake of measures by farmers. Past research has looked at uptake of particular mitigation measures or a small range of measures. This research expands the literature with an analysis of uptake of a broad and diverse range of measures. Farm characteristics, farmer norms, knowledge required and costs (direct and indirect) associated with individual mitigation measures are investigated to identify factors that could influence greater adoption. Results show that alignment to farmer norms and lower specific costs were associated with high adoption rates. These results have implications for advisers in relation to the selection of measures most likely to be adopted by farmers, and also for policy-makers in relation to the need to incentivise the adoption of high-cost measures.
    Language English
    Publishing date 2024-04-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2024.120698
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Spatial analysis of cultural ecosystem services using data from social media

    Andrew Neill / Cathal O'Donoghue / Jane Stout

    One Ecosystem, Vol 8, Iss , Pp 1-

    A guide to model selection for research and practice

    2023  Volume 36

    Abstract: Experiences gained through in person (in-situ) interactions with ecosystems provide cultural ecosystem services. These services are difficult to assess because they are non-material, vary spatially and have strong perceptual characteristics. Data ... ...

    Abstract Experiences gained through in person (in-situ) interactions with ecosystems provide cultural ecosystem services. These services are difficult to assess because they are non-material, vary spatially and have strong perceptual characteristics. Data obtained from social media can provide spatially-explicit information regarding some in-situ cultural ecosystem services by serving as a proxy for visitation. These data can identify environmental characteristics (natural, human and built capital) correlated with visitation and, therefore, the types of places used for in-situ environmental interactions. A range of spatial models can be applied in this way that vary in complexity and can provide information for ecosystem service assessments. We deployed four models (global regression, local regression, maximum entropy and the InVEST recreation model) to the same case-study area, County Galway, Ireland, to compare spatial models. A total of 6,752 photo-user-days (PUD) (a visitation metric) were obtained from Flickr. Data describing natural, human and built capital were collected from national databases. Results showed a blend of capital types correlated with PUD suggesting that local context, including biophysical traits and accessibility, are relevant for in-situ cultural ecosystem service flows. Average trends included distance to the coast and elevation as negatively correlated with PUD, while the presence of major roads and recreational sites, population density and habitat diversity were positively correlated. Evidence of local relationships, especially town distance, were detected using geographic weighted regression. Predicted hotspots for visitation included urban areas in the east of the region and rural, coastal areas with major roads in the west. We conclude by presenting a guide for researchers and practitioners developing cultural ecosystem service spatial models using data from social media that considers data coverage, landscape heterogeneity, computational resources, statistical expertise and environmental ...
    Keywords cultural ecosystem services ; visitation ; social me ; Ecology ; QH540-549.5
    Subject code 710
    Language English
    Publishing date 2023-02-01T00:00:00Z
    Publisher Pensoft Publishers
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: The Gender Gap in Income and the COVID-19 Pandemic in Ireland

    Karina Doorley / Cathal O’Donoghue / Denisa M. Sologon

    Social Sciences, Vol 11, Iss 7, p

    2022  Volume 311

    Abstract: The gender income gap is large and well documented in many countries. Recent research shows that it is mainly driven by differences in working patterns between men and women but also by wage differences. The tax–benefit system cushions the gender income ... ...

    Abstract The gender income gap is large and well documented in many countries. Recent research shows that it is mainly driven by differences in working patterns between men and women but also by wage differences. The tax–benefit system cushions the gender income gap by redistributing it between men and women. The COVID-19 pandemic has resulted in unprecedented levels of unemployment in 2020 in many countries, with some suggestions that men and women have been differently affected. This research investigated the effect of the COVID-19 pandemic on the gender gap in income in Ireland. By using nowcasting techniques and microsimulation, we modeled the effect of pandemic-induced employment and wage changes on the market and disposable income. We showed how the pandemic and the associated tax–benefit support could be expected to change the income gap between men and women. Policy conclusions were drawn about future redistribution between men and women.
    Keywords gender inequality ; Ireland ; tax–benefit system ; COVID-19 ; Social Sciences ; H
    Subject code 331
    Language English
    Publishing date 2022-07-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Alternative measures of Family Farm Viability – Incorporating gap measures

    Loughrey, Jason / O'Donoghue, Cathal / Conneely, Ricky

    Journal of rural studies. 2022 Jan., v. 89

    2022  

    Abstract: The measurement of farm economic viability has received intermittent academic interest with limited attention given to the conceptual framework surrounding the issue. This paper focuses attention on farm economic viability in Ireland where there are ... ...

    Abstract The measurement of farm economic viability has received intermittent academic interest with limited attention given to the conceptual framework surrounding the issue. This paper focuses attention on farm economic viability in Ireland where there are growing concerns about a two-tiered agricultural sector with increasing levels of economic vulnerability. The measurement of farm economic viability is usually based on the headcount ratio, which identifies whether a farm business is viable or non-viable and does not inform about the extent of non-viability. Therefore, it is necessary to develop alternative techniques to provide more clarity on viability levels and thereby inform assessments regarding the efficacy of the Common Agricultural Policy. This paper draws on concepts from the poverty literature to develop a viability gap measure and a viability severity measure. The results are sensitive to the choice of indicator and point to a wide distribution of viability between the most viable and least viable farms. The headcount ratio provides the basis for an incomplete assessment of viability levels and multiple indicators should be considered in monitoring viability levels.
    Keywords Common Agricultural Policy ; agricultural industry ; economic sustainability ; family farms ; poverty ; Ireland
    Language English
    Dates of publication 2022-01
    Size p. 257-274.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 252458-2
    ISSN 0743-0167
    ISSN 0743-0167
    DOI 10.1016/j.jrurstud.2021.11.022
    Database NAL-Catalogue (AGRICOLA)

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  5. Book ; Article ; Online: Decomposition of the Changes in Household Disposable Income Distribution in China

    Gong, Chen / Sologon, Denisa Maria / Nimeh, Zina / O'Donoghue, Cathal

    2023  

    Abstract: Studies have shown that the previously growing inequality in China has stabilized and even declined since 2008 (Kanbur et al., 2021), nevertheless, the drivers of the latest trans-formation in income inequality remain to be unraveled. We address this ... ...

    Abstract Studies have shown that the previously growing inequality in China has stabilized and even declined since 2008 (Kanbur et al., 2021), nevertheless, the drivers of the latest trans-formation in income inequality remain to be unraveled. We address this research gap by examining the changes in the distribution of household disposable income and its drivers in China from 2010 to 2016. We apply the distributional decomposition method proposed by Bourguignon et al. (2008) and Sologon et al. (2021), and quantify the contribution of all factors into four general dimensions, (1) demographic composition, (2) labor market structure, (3) price and return, and (4) governmental transfers. This study considers not only the individual labor income as with existing literature, but also models other family incomes and social transfers to reflect the real economic conditions more accurately. The decomposition results show that all four factors contribute positively to the decline in income inequality during the period studied. The changes in urban labor market structure, specifically the general forms of employment, occupational and industrial structure, have been contributing as inequality augmenting factors.
    Keywords ddc:330 ; D63 ; D31 ; F63 ; income distribution ; decomposition ; income inequality ; microsimulation ; overtime comparison ; labor market structure ; demographic structure
    Subject code 338
    Language English
    Publisher Bonn: Institute of Labor Economics (IZA)
    Publishing country de
    Document type Book ; Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: More than two decades of Agri-Environment schemes: Has the profile of participating farms changed?

    Cullen, Paula / Hynes, Stephen / Ryan, Mary / O'Donoghue, Cathal

    Journal of environmental management

    2021  Volume 292, Page(s) 112826

    Abstract: The agri-food sector is under increased pressure from consumers to improve on the sustainability of production processes. Policies that incentivise farmers to improve environmental performance, such as agri-environment schemes (AES), are increasingly ... ...

    Abstract The agri-food sector is under increased pressure from consumers to improve on the sustainability of production processes. Policies that incentivise farmers to improve environmental performance, such as agri-environment schemes (AES), are increasingly important. Understanding the choice to participate in these programmes aids policymakers in designing schemes that meet participation and environmental goals. While a number of studies have investigated the decision using cross-sectional data on one or multiple locations, very few have used longitudinal data to investigate the impact of institutional changes over time. Using Ireland as a case study, this paper uses a nationally representative panel of data spanning 23 years to model the impact of scheme and policy changes on the type of farms participating in AES. This paper argues that environmental issues surrounding intensive farms (such as the loss of nutrients and sediment to water and greenhouse gas emissions) are not being optimally addressed in scheme design and further development of such programmes is needed to reduce negative environmental impacts.
    MeSH term(s) Agriculture ; Cross-Sectional Studies ; Farmers ; Farms ; Humans ; Ireland
    Language English
    Publishing date 2021-05-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2021.112826
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Defining national biogenic methane targets: Implications for national food production & climate neutrality objectives.

    Prudhomme, Remi / O'Donoghue, Cathal / Ryan, Mary / Styles, David

    Journal of environmental management

    2021  Volume 295, Page(s) 113058

    Abstract: Methane is a short-lived greenhouse gas (GHG) modelled distinctly from long-lived GHGs such as carbon dioxide and nitrous oxide to establish global emission budgets for climate stabilisation. The Paris Agreement requires a 24-47% reduction in global ... ...

    Abstract Methane is a short-lived greenhouse gas (GHG) modelled distinctly from long-lived GHGs such as carbon dioxide and nitrous oxide to establish global emission budgets for climate stabilisation. The Paris Agreement requires a 24-47% reduction in global biogenic methane emissions by 2050. Separate treatment of methane in national climate policies will necessitate consideration of how global emission budgets compatible with climate stabilisation can be downscaled to national targets, but implications of different downscaling rules for national food production and climate neutrality objectives are poorly understood. This study addresses that knowledge gap by examining four methods to determine national methane quotas, and two methods of GHG aggregation (GWP
    MeSH term(s) Agriculture ; Animals ; Brazil ; Cattle ; Climate Change ; France ; Greenhouse Effect ; India ; Ireland ; Methane/analysis ; Paris
    Chemical Substances Methane (OP0UW79H66)
    Language English
    Publishing date 2021-06-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2021.113058
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Spatial analysis of cultural ecosystem services using data from social media: A guide to model selection for research and practice

    Neill, Andrew M. / O'Donoghue, Cathal / Stout, Jane C.

    One Ecosystem. 2023 Feb. 02, v. 8 p.e95685-

    2023  

    Abstract: Experiences gained through in person (in-situ) interactions with ecosystems provide cultural ecosystem services. These services are difficult to assess because they are non-material, vary spatially and have strong perceptual characteristics. Data ... ...

    Abstract Experiences gained through in person (in-situ) interactions with ecosystems provide cultural ecosystem services. These services are difficult to assess because they are non-material, vary spatially and have strong perceptual characteristics. Data obtained from social media can provide spatially-explicit information regarding some in-situ cultural ecosystem services by serving as a proxy for visitation. These data can identify environmental characteristics (natural, human and built capital) correlated with visitation and, therefore, the types of places used for in-situ environmental interactions. A range of spatial models can be applied in this way that vary in complexity and can provide information for ecosystem service assessments. We deployed four models (global regression, local regression, maximum entropy and the InVEST recreation model) to the same case-study area, County Galway, Ireland, to compare spatial models. A total of 6,752 photo-user-days (PUD) (a visitation metric) were obtained from Flickr. Data describing natural, human and built capital were collected from national databases. Results showed a blend of capital types correlated with PUD suggesting that local context, including biophysical traits and accessibility, are relevant for in-situ cultural ecosystem service flows. Average trends included distance to the coast and elevation as negatively correlated with PUD, while the presence of major roads and recreational sites, population density and habitat diversity were positively correlated. Evidence of local relationships, especially town distance, were detected using geographic weighted regression. Predicted hotspots for visitation included urban areas in the east of the region and rural, coastal areas with major roads in the west. We conclude by presenting a guide for researchers and practitioners developing cultural ecosystem service spatial models using data from social media that considers data coverage, landscape heterogeneity, computational resources, statistical expertise and environmental context.
    Keywords capital ; coasts ; ecosystem services ; ecosystems ; habitats ; humans ; landscapes ; models ; population density ; recreation ; Ireland ; cultural ecosystem services ; visitation ; social media ; spatial modelling ; geographic weighted regression ; maximum entropy ; InVEST ; ecosystem service assessment
    Language English
    Dates of publication 2023-0202
    Publishing place Pensoft Publishers
    Document type Article ; Online
    ISSN 2367-8194
    DOI 10.3897/oneeco.8.e95685
    Database NAL-Catalogue (AGRICOLA)

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  9. Article: Value transfer using spatial microsimulation modelling: Estimating the value of achieving good ecological status under the EU Water Framework Directive across catchments

    Hynes, Stephen / O’Donoghue, Cathal

    Environmental science & policy. 2020 Aug., v. 110

    2020  

    Abstract: The empirical findings regarding the transfer validity of benefit transfer methods for environmental policy evaluation have been mixed. In this paper the value function from a contingent valuation exercise that estimates the value to the Irish general ... ...

    Abstract The empirical findings regarding the transfer validity of benefit transfer methods for environmental policy evaluation have been mixed. In this paper the value function from a contingent valuation exercise that estimates the value to the Irish general public of achieving good ecological status, as specified in the Water Framework Directive, are transferred to a spatial microsimulated population within individual water management units (WMUs) across Ireland. The welfare estimates from this novel value function based transfer approach are compared against the results from previous primary valuation studies in one of the WMUs and transfer errors are found to be low. The proposed spatial microsimulation value transfer approach controls for the heterogeneous distribution of populations across the WMUs and for the fact that the willingness to pay will vary according to an individual’s geographic proximity to the water body within each catchment and with the current ecological status of the WMU.
    Keywords contingent valuation ; environmental policy ; environmental science ; policy analysis ; surface water ; water management ; watersheds ; willingness to pay ; Ireland
    Language English
    Dates of publication 2020-08
    Size p. 60-70.
    Publishing place Elsevier Ltd
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 1454687-5
    ISSN 1462-9011
    ISSN 1462-9011
    DOI 10.1016/j.envsci.2020.05.006
    Database NAL-Catalogue (AGRICOLA)

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  10. Article: The COVID-19 resilience of a continental welfare regime - nowcasting the distributional impact of the crisis.

    Sologon, Denisa M / O'Donoghue, Cathal / Kyzyma, Iryna / Li, Jinjing / Linden, Jules / Wagener, Raymond

    Journal of economic inequality

    2022  , Page(s) 1–33

    Abstract: We evaluate the COVID-19 resilience of a Continental welfare regime by nowcasting the implications of the shock and its associated policy responses on the distribution of household incomes over the whole of 2020. Our approach relies on a dynamic ... ...

    Abstract We evaluate the COVID-19 resilience of a Continental welfare regime by nowcasting the implications of the shock and its associated policy responses on the distribution of household incomes over the whole of 2020. Our approach relies on a dynamic microsimulation modelling that combines a household income generation model estimated on the latest EU-SILC wave with novel nowcasting techniques to calibrate the simulations using external macro controls which reflect the macroeconomic climate during the crisis. We focus on Luxembourg, a country that introduced minor tweaks to the existing tax-benefit system, which has a strong social insurance focus that gave certainty during the crisis. We find the system was well-equipped ahead of the crisis to cushion household incomes against job losses. The income-support policy changes were effective in cushioning household incomes and mitigating an increase in income inequality, allowing average household disposable income and inequality levels to bounce back to pre-crisis levels in the last quarter of 2020. The share of labour incomes dropped, but was compensated by an increase in benefits, reflecting the cushioning effect of the transfer system. Overall market incomes dropped and became more unequal. Their disequalizing evolution was matched by an increase in redistribution, driven by an increase in the generosity of benefits and larger access to benefits. The nowcasting model is a "near" real-time analysis and decision support tool to monitor the recovery, scalable to other countries with high applicability for policymakers.
    Supplementary information: The online version contains supplementary material available at doi:10.1007/s10888-021-09524-4.
    Language English
    Publishing date 2022-02-22
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2098448-0
    ISSN 1573-8701 ; 1569-1721
    ISSN (online) 1573-8701
    ISSN 1569-1721
    DOI 10.1007/s10888-021-09524-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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