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Farm Business Survey, 2023-2024: Special Licence Access
No full textAbstract copyright UK Data Service and data collection copyright owner.The Farm Business Survey (FBS) is conducted annually to collect business information from about 2,100 farms in England and Wales. The survey provides information on the financial position and physical and economic performance of farm businesses, to inform policy decisions on matters affecting farm businesses and to enable analysis of the impacts of policy options. It is intended to serve the needs of farmers, farming and land management interest groups, government (both national and European), government partners, and researchers. The primary objective of survey results is to contrast the performance or other business characteristics of different groupings of farm, such as between regions or other geographical or environmental designations, farm types, farm size, age or education of farmer, etc. Up to and including the 2001/02 survey, FBS estimates were based on matching the sample between two adjacent years and farm weights. Farm weights were still calculated to present a matched sample however. From the 2002/03 survey onwards, matching between adjacent years was dropped altogether, and weights are now calculated for the full sample. The typology used to determine the FBS farm type classification has been revised from 2009 onwards. The FBS typology is now based on standard outputs expressed in euros, with a minimum threshold of 25,000 euro (irrespective of the SLR) for FBS eligibility. Between 2009 and 2011, FBS farm type classification was based on 2007 standard output (SO) coefficients. From 2012, the farm type classification was based on 2010 SO coefficients, and from 2017 the FBS farm type classification was based on 2013 SO coefficients. The coefficients have been revised again for 2023/24 and are based on 2017 coefficients. The change in typology has had an effect on the distribution of farms by farm type and income averages. Further information regarding the change in typology is available on the GOV.UK FBS documents web page.
The Farm Business Survey is available from UKDS under Special Licence access conditions. See the' Access data' section for further details on how to apply for access to the data.
Main Topics:Variables cover general and physical farm characteristics, labour, crops (previous and current harvest year, set-aside, by-products, forage and cultivations); miscellaneous receipts, livestock (dairy and beef cattle, sheep, pigs, poultry, miscellaneous livestock), variable and fixed costs, assets, investment, liabilities, income from diversified activities (integrated and semi-integrated into the farm business), farmer and spouse off-farm hours and incomes, subsidies
Farm Business Survey, 2023-2024: Special Licence Access
No full textAbstract copyright UK Data Service and data collection copyright owner.The Farm Business Survey (FBS) is conducted annually to collect business information from about 2,100 farms in England and Wales. The survey provides information on the financial position and physical and economic performance of farm businesses, to inform policy decisions on matters affecting farm businesses and to enable analysis of the impacts of policy options. It is intended to serve the needs of farmers, farming and land management interest groups, government (both national and European), government partners, and researchers. The primary objective of survey results is to contrast the performance or other business characteristics of different groupings of farm, such as between regions or other geographical or environmental designations, farm types, farm size, age or education of farmer, etc. Up to and including the 2001/02 survey, FBS estimates were based on matching the sample between two adjacent years and farm weights. Farm weights were still calculated to present a matched sample however. From the 2002/03 survey onwards, matching between adjacent years was dropped altogether, and weights are now calculated for the full sample. The typology used to determine the FBS farm type classification has been revised from 2009 onwards. The FBS typology is now based on standard outputs expressed in euros, with a minimum threshold of 25,000 euro (irrespective of the SLR) for FBS eligibility. Between 2009 and 2011, FBS farm type classification was based on 2007 standard output (SO) coefficients. From 2012, the farm type classification was based on 2010 SO coefficients, and from 2017 the FBS farm type classification was based on 2013 SO coefficients. The coefficients have been revised again for 2023/24 and are based on 2017 coefficients. The change in typology has had an effect on the distribution of farms by farm type and income averages. Further information regarding the change in typology is available on the GOV.UK FBS documents web page. The Farm Business Survey is available from UKDS under Special Licence access conditions. See the' Access data' section for further details on how to apply for access to the data. Main Topics:Variables cover general and physical farm characteristics, labour, crops (previous and current harvest year, set-aside, by-products, forage and cultivations); miscellaneous receipts, livestock (dairy and beef cattle, sheep, pigs, poultry, miscellaneous livestock), variable and fixed costs, assets, investment, liabilities, income from diversified activities (integrated and semi-integrated into the farm business), farmer and spouse off-farm hours and incomes, subsidies
Farm Business Survey, 2022-2023: Special Licence Access
No full textAbstract copyright UK Data Service and data collection copyright owner.The Farm Business Survey (FBS) is conducted annually to collect business information from about 2,100 farms in England and Wales. The survey provides information on the financial position and physical and economic performance of farm businesses, to inform policy decisions on matters affecting farm businesses and to enable analysis of the impacts of policy options. It is intended to serve the needs of farmers, farming and land management interest groups, government (both national and European), government partners, and researchers. The primary objective of survey results is to contrast the performance or other business characteristics of different groupings of farm, such as between regions or other geographical or environmental designations, farm types, farm size, age or education of farmer, etc. Up to and including the 2001/02 survey, FBS estimates were based on matching the sample between two adjacent years and farm weights. Farm weights were still calculated to present a matched sample however. From the 2002/03 survey onwards, matching between adjacent years was dropped altogether, and weights are now calculated for the full sample. The typology used to determine the FBS farm type classification has been revised from 2009 onwards. The FBS typology is now based on standard outputs expressed in euros, with a minimum threshold of 25,000 euro (irrespective of the SLR) for FBS eligibility. Between 2009 and 2011, FBS farm type classification was based on 2007 standard output (SO) coefficients. From 2012, the farm type classification was based on 2010 SO coefficients, and from 2017 the FBS farm type classification was based on 2013 SO coefficients. The coefficients have been revised again for 2023/24 and are based on 2017 coefficients. The change in typology has had an effect on the distribution of farms by farm type and income averages. Further information regarding the change in typology is available on the GOV.UK FBS documents web page.
The Farm Business Survey is available from UKDS under Special Licence access conditions. See the' Access data' section for further details on how to apply for access to the data.
Latest edition informationFor the second edition (April 2025), the data and documentation were replaced with those using the revised 2017 Standard Output coefficients and therefore farm typology and business size is different to the previous version. The 2017 coefficients used here are those used for the 2023-2024 data (see SN 9360), and so are not compatible with previous years.For the third edition (May 2025), a version of the data using the previous 2014 Standard Output (SO) coefficients was added to the study. This version is based on the same farm typology criteria as previous years' FBS data. Therefore, users have the choice of using data compatible with previous years (2014 SO) or with later years (2017 SO).Main Topics:Variables cover general and physical farm characteristics, labour, crops (previous and current harvest year, set-aside, by-products, forage and cultivations); miscellaneous receipts, livestock (dairy and beef cattle, sheep, pigs, poultry, miscellaneous livestock), variable and fixed costs, assets, investment, liabilities, income from diversified activities (integrated and semi-integrated into the farm business), farmer and spouse off-farm hours and incomes, subsidies.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Economic Impact Assessment of Bovine Tuberculosis in the South West of England
Get PDFBovine TB (bTB) presents a significant challenge to beef and dairy farmers. In 2009 7,449 herds were subject to movement restrictions in Great Britain because of bTB. Of these, 52% were in South West England and 20% were in Devon alone. With over 25% of holdings with cattle in the South West likely to suffer a bTB breakdown within the course of a year, understanding the cost implications on farm businesses is vital in order to demonstrate the impact that this disease is having on agricultural communities and the agricultural economy. The research undertaken for this report has revealed considerable variation across a range of different types of costs associated with bTB. Consequently average figures, either for costs or calculating compensation, obscure much of the detail at an individual farm level. The research also points to a range of ‘hidden’ and longer term costs that fall beyond the scope of the compensation scheme. Finally, in addition to economic losses, bTB is imposing considerable costs on the personal well-being of many farm households and also raises profound livestock welfare issues.Bovine Tuberculosis, Costs, Beef farmers, Dairy farmers, Agricultural and Food Policy, Farm Management,
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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