DOI: 10.5281/zenodo.5786154
title: Resilience of pig producers in Europe

description: This dataset collected for the organic core POWER project to assess resilience capacities of organic pig prodcuers in Austria, Danemark, Italy, Sweden and Switzerland. These datasets have been anonymized. The resilience farm data are all data that where observed at farm level, and contain farm characterisitcs, namely variable description values farm id unique identifier of the farm characters, including country code based on ISO2 breeding type type of pig entreprise on the found on the farm breeding, finishing or both entrerprise_x description of other entreprises found on the farm feed production, cash crop, chicken, sheep, dairy, beef, direct marketing, tourism, on-farm processing, horse housing. number non-pig entreprise number of entreprise describes integer structure type of pig housing structure permanent, temporary, both outdoor area type of oudoor access for pig concrete, shifting arable land, permanent pasture LSU livstock standard units computed following Eurostat standards numeric pig/ha intensity of production as LSU/UAApig numeric self-sufficiency percentage of pig feed produced on farm numeric UAA pig utilized agricultural area for the pig production numeric UAA total utilized agricultural area of the farm numeric The resilience data is the result of the interpretation of farmers' resilience narratives, which were interpreted been interpreted using the Meuwissen et al, 2019 farming systems framework. The data is in long fromat and represents a particular resilience capacity related to a specific shock. More particularly, the data contains the follwing information variables name description values farm id unique identifier of the farm characters, including country code based on ISO2 country country code based on ISO2 question related to shocks shocks to which the resilience narrative related to input cost, price, outbreak, climate, legislation, labour, general narratives (a= first, b=second) identifier of the narrative within a question a, b capacity resilience capacity following the Meuwissen et al (2019) framework robustness, adaptability, transformability, non-resilience resilience attribute type resilience attribute based on an expanded interpretation the Meuwissen et al (2019) framework (see paper) functional diversity, response diversity, modularity, tighness of feedback, social capital, attitude, system reserve (physical captial -inherent), system reserve (physical capital -use), system reserve (natural capital -inherent) system reserve (human capital - use) resilience attribute description of the attribute that led to the resilience attribute type classification ability to convert to cash crop, ability to offer good working conditions, ability to switch brand, access to financial services, access to technical solutions, adapted crops, adding finishing section, adjust feed production, adjust volume of pig production, adjusting paddock size to enable double fencing, advisory and veterinary services, believe in organic, brand building with social media, build temporary shelter, build up savings, by-product through partnership, capacity to access more land, change external feed, change feed ratio, conservable end product, create microclimates, create new brand, created a young farmer network, customer relation, decrease pig, decrease pig production, direct marketing, diverse farm, diverse sale channels, do something else, double fencing, efficiency, entrepreneurship, excess cereal production, exploring governance model as no successor, family labour, farmer owned value chain, fencing, financial lock-in, flexible infrastructure (enabling), flexible pig keeping system, forest system, good indoor infrastructure, good infrastructure, good relation to customers, governmental support, habit, has margin, home feed production, inadequate salary, increase cash crop, increase own work, increase own working time, independent feed ratio, indoor keeping, indoor production, innovator, innovator (one welfare) , insurance, margins, mechanisation, mobile mode of production, neighbor network, neighborhood early warning, neighborhood network, new cooling infrastructure, niche production, no competition, no fencing option, no own farm, land or infrastructure, no qualified staff required, offering jobs to young people, other livestock, part time worker, partnership with other farmers, producing more home grown feed, profit, reduced pig production, rely on sectoral organization, resistant breed, robust animals, robust breed, sectoral power, sectoral response, short term feed contracts, social media, soil health, split production on other farms, staffing agency (through advisory services), sufficient outdoor space, sufficient pasture, sufficient space, sufficient space (enabling), switch to indoor production, switch to other livestock, tiredness in the sector, Too big to fail, training, unique pig keeping system, up-to-date infrastructure, volunteer networks, wallow, work with nature To compute the resilience capacity score (<em>Cscore)</em> assign 0 to lack of resilience, 1 to robustness, 2 to adpababilty and 3 to transformability. If there is more than one narrative with a different capacity, the average score between mentionned capacities was taken. Use following R code in dplyr <em>mydata&lt;-</em> ResilienceDataPreProcessed<em> %&gt;% </em> <em> mutate(code = ifelse(capacity=="robustness", 1,ifelse(capacity=="adaptability",10,ifelse(capacity=="transformability",100,ifelse(capacity =="no resilience capacity",1000,ifelse(capacity=="no long term resilience capacity",10000,ifelse(capacity=="no short term resilience",1000,NA)))))))%&gt;% </em> <em> group_by(farm, question)%&gt;% </em> <em> summarise(Ccode=sum(code))%&gt;% </em> <em> mutate(Cscore=ifelse(Ccode==1|Ccode==2| Ccode==3, 1,ifelse(Ccode==20|Ccode==10|Ccode==111,2, ifelse(Ccode==100|Ccode==200,3, ifelse(Ccode==11|Ccode==21, 1.5,ifelse(Ccode==110|Ccode==120, 2.5,ifelse(Ccode==101,3,ifelse(Ccode==1000,0,ifelse(Ccode==10001|Ccode==1001,0.5,NA)) ))) ))))</em> <strong>Resilience questionnaire</strong> <strong>Farm number:</strong> <strong>Farm name or ID:</strong> <strong>Country:</strong> <strong>System descriptors</strong> Breeding or finishing (or both) Indoor or outdoor (or a mix) Organic or conventional Number of years organic <strong>1) Has your farm experienced significant challenges in the last 5 years?</strong> Yes or no? Yes / No If "no", what factars (farm/external) created this resilience? If "yes", please describe the 1st challenge What was the impact on the farm (production, animal health/welfare, work load, work life quality etc)? Did this change your management or farm structure subsequently (and how)? If "yes", please describe a 2nd challenge What was the impact on the farm (production, animal health/welfare, work load, work life quality etc)? Did this change your management or farm structure subsequently (and how)? <strong>2) In the future, how do you feel your pig system would cope with these challenges:</strong> a) Decreasing or negative margins due to increased feed or other input costs? Very severely (e.g. bankruptcy) Severely (e.g. closure of pig enterprise) Strong impact (e.g. large reduction in production) Short term impact (e.g. reduced production) Little impact (e.g. change ration) Why? How are you prepared for this potential challenge? (what are the characteristics of your farm or management that make you more or less prepared for this challenge) b). Decreasing or negative margins due to reduced pig prices? Very severely (e.g. bankruptcy) Severely (e.g. closure of pig enterprise) Strong impact (e.g. large reduction in production) Short term impact (e.g. reduced production) Little impact (e.g. change ration) Why? How are you prepared for this potential challenge? (what are the characteristics of your farm or management that make you more or less prepared for this challenge) c) Wide spread disease outbreak such as African Swine Fever Very severely (e.g. bankruptcy) Severely (e.g. closure of pig enterprise) Strong impact (e.g. large reduction in production) Short term impact (e.g. reduced production) Little impact (e.g. change ration) Why? How are you prepared for this potential challenge? (what are the characteristics of your farm or management that make you more or less prepared for this challenge) d) Climate change impact, e.g. severe storms, flooding, drought, hot seasons Very severely (e.g. bankruptcy) Severely (e.g. closure of pig enterprise) Strong impact (e.g. large reduction in production) Short term impact (e.g. reduced production) Little impact (e.g. change ration) Why? How are you prepared for this potential challenge? (what are the characteristics of your farm or management that make you more or less prepared for this challenge) e) Changing legislation impact, e.g. increased floor space allowance indoors, mandatory access to pasture, more land required (lower stocking densities to reduce nutrient loads from pasture systems or in general for the whole farm) Very severely (e.g. bankruptcy) Severely (e.g. closure of pig enterprise) Strong impact (e.g. large reduction in production) Short term impact (e.g. reduced production) Little impact (e.g. change ration) Why? How are you prepared for this potential challenge? (what are the characteristics of your farm or management that make you more or less prepared for this challenge) f) Shortage in qualified ‘work-mass’ (difficulties in recruiting qualified employees) Very severely (e.g. bankruptcy) Severely (e.g. closure of pig enterprise) Strong impact (e.g. large reduction in production) Short term impact (e.g. reduced production) Little impact (e.g. change ration) Why? How are you prepared for this potential challenge? (what are the characteristics of your farm or management that make you more or less prepared for this challenge) <strong>3) Any other comments on resilience of their system?</strong> <strong>4) General comments/system description?</strong>