Present framework of agricultural insurance

28.03.2009 886 views
The international agricultural insurance market has an important dimension. The experience of economically developed countries revealed the fact that without a stable development of agricultural insurances, there is no chance for high performance agriculture. This will require the establishment of a framework for responding to severe systemic events affecting agricultural production, and establishing an appropriate regulatory environment to foster private sector innovation and investment in services for less catastrophic events. During the last few years, at the international level, a variety of new financial mechanisms present the capacity of solving many issues related to the traditional projection of agricultural insurances. New instruments operate based on the configuration of the insurance indemnity payment, thus it will be paid when it reaches a certain level determined by statistic calculations and designed as the “index”. Risk is an unavoidable but manageable element in the business. Concern for risks that stifle investment and contribute to vulnerability of the rural poor is a driving force behind various types of agricultural insurance (typically “crop insurance”). Insuring small-scale farmers against crop losses to adverse weather or other hazards has attracted public sector involvement in the provision of agricultural insurance in many countries. With few exceptions, such interventions have encountered severe problems owing to high administrative costs, moral hazard, and adverse selection. Government interventions should be aimed at improving the accessibility and quality of private sector insurance. This will require the establishment of a framework for responding to severe systemic events affecting agricultural production, and establishing an appropriate regulatory environment to foster private sector innovation and investment in services for less catastrophic events. Agricultural insurance is a financial tool to transfer production risk associated with farming to a third party via payment of a premium that reflects the true long-term cost of the insurer assuming those risks. Past public sector interventions to provide insurance and enable the poor to cope in times of hardship typically have failed. Government response in times of severe calamity has been ad hoc and has lacked precise criteria for what “triggers” an insurance payment, thus leading to high potential for political interference and reduced opportunity to obtain reinsurance. As a result, comprehensive publicly supported crop insurance programs have been disastrous, being both ineffective and fiscally burdensome. They have involved heavy subsidization of premiums, large delivery and service costs, and high aggregate losses. To be profitable, the ratio of average administrative costs plus average insurance payouts to the average premiums paid must be less than one. However, for most countries the ratio has far exceeded one, indicating that the programs have been unsustainable without heavy subsidization. Traditional publicly supported crop insurance is all-risk or multi-peril, covering either all the supposed production risks or a very broad spectrum of those risks. All-risk insurance usually involves payments to the grower as compensation for any shortfall when yield declines below a level set in the policy. In some instances, this has encouraged inappropriate use of insurance and has led to excessive risk taking or moral hazard, such as growing crops in high-risk regions, thus increasing farmers’ exposure to future losses. Assumption by the public sector of massive insurance losses in turn reduces opportunities to participate in broader reinsurance markets. The ad-hoc nature of government policy has frequently been coupled with an ineffective and uncertain regulatory framework that increases uncertainty for private sector providers. Policy and implementation issues Agricultural risks vary in terms of severity and frequency. For the more severe and less frequent events (for example, intense and widespread flooding, prolonged drought), markets typically fail to provide adequate insurance services because of limited credible long-term statistical information, an inability to reinsure on international markets, and the possibility of having to make large payments in years of catastrophic loss (especially in the early years of the program). Because of this market failure (undersupplied risk management services for catastrophic events), the private sector is also likely to fail to provide services for the less severe, more frequent disruptive events (such as localized drought, pest outbreak) that services would otherwise be provided for. When it does, services often bypass the poor or smaller farmers. Thus there is a role for the public sector to intervene (at least initially) in the area of catastrophic risk management, as well as facilitating private sector service provision for more frequent, statistically documented disasters that they are better able to insure against. The following characteristics distinguish these various kinds of risks, and potential problems:Distorted incentives. When insurers know that government will automatically cover most losses, the incentive to pursue sound insurance practices when assessinglosses is reduced. Insurers may even collude with farmers in filing exaggerated or falsified claims. Asymmetry of information. Successful insurance programs require that the insurer has adequate information about the nature of risks being insured. However, this is very difficult for farm-level yield insurance where farmers will always know more about their potential crop yields than any insurer.Adverse selection. Only those who are more prone to risk will purchase public crop insurance, posing a challenge to the viability of an insurer and initiating a cycle oflosses. Conversely, the private sector could leave the “bad” risks to the government. Administrative costs. Providing services to small-scale farmers can raise costs, as data for individual farm-yield based insurance are deficient, and monitoring andinspection costs are high. Moral hazard. Insurance payout based on individual low crop yields as opposed to the causes of reduced crop yields leads to moral hazard - when a farmer’s own behavior or management negatively influences crop yield. Recommendations for practitioners The overall objective for agricultural insurance should be a private sector-led and demand-oriented system in which farmers (including smallholders and the landless) can access (1) services supplied by the private sector and (2) insurance products for mainly less systemic and more independent risks, at a premium that reflects the true long-term cost of assuming those risks. Given this, and given the market failure associated with private sector supply, public sector involvement is important but should be limited to establishing a favorable environment for private sector initiative, establishing mechanisms for management of catastrophic risk that the private sector is unable to offer insurance against, and building the capacity of the private sector. Good practice for establishing private sector-led insurance is still evolving, but important implementation issues include:Public sector initiation of agriculture risk management services. A critical public sector priority is to address large systemic risks that affect agricultural production and allow the private sector to develop insurance products for less severe events and for individual, independent farm risks. Large systemic risks must then be identified, and appropriate insurance mechanisms to manage these risks where markets fail to do so must be developed. Essential to public intervention in this area is making the government’s role explicit and transparent. An unambiguous threshold to trigger government payout (identifying what will and will not be covered and to what degree) must be specified. This trigger must be quantifiable, and ideally it can be measured by an independent, competent, and credible third party. Farmers’ participation in publicly supported schemes should be voluntary, the service provider should purchase reinsurance on international markets where possible, and administrative costs must be controlled. Data collection and actuarial modeling. In designing insurance products for any type of risk, insurers (both public and private) must understand the relevant statistical properties. This requires both credible long-term statistical information and actuarial models to define the relevant risk probabilities and to predict the likelihood of various events. Various indices (for example, area rainfall or soil moisture indexes) may be particularly attractive for their practicality and cost effectiveness.Using weather-based index and area-based yield contracts to insure against natural disasters offers increased affordability and accessibility of insurance services for the rural poor. Because triggers can be verified independently, vulnerability to political interference and manipulation of farm losses is reduced. It is practical to implement and has low administrative and transaction costs, so the private sector can provide it with little or no government subsidies. Weather-based index insurance makes payments proportional to the difference of a measurable weather event (rainfall, temperature) from a certain trigger, as measured at regional weather stations. Area-based index insurance makes payments proportional to the decline of area yields below a certain trigger at the county or district level. For each of these, contracts are written against specific perils/events (area-yield loss, drought, or flood) defined and recorded at a regional level (local weather station). Insurance is sold in standard units (for example, 10? or 100 payouts), with a standard contract or certificate for each unit purchased. The premium rate is the same for all buyers, who all receive the same indemnity if the insured event occurs. Buyers are free to purchase as many units of the insurance as they wish. The insurance is written against the average yield for a region (county/district), and a payment is made when the measured regional yield falls below a defined limit (say 80 percent of normal). An important area of public sector support can be the development of information sources such as risk maps that improve the institutional capacity of both public and private sector providers to identify and analyze risk. This information can form a common foundation upon which the transparent identification and pricing of risk (premium rates) can be based. Donors can support both the development of information systems and of the capacity of institutions (such as the ministry of agriculture) to build databases that can overcome information-related constraints to private sector participation. Creating a favorable regulatory environment. To encourage private sector initiative, the policy and regulatory environment must be deemed by all stakeholders as fair, credible, stable, and enforceable. Toward this end, donors can contribute useful policy advice and capacity building support.Educating stakeholders. Education of stakeholders is important if farmers are to understand the benefits of insuring against certain events. Workshops, information packages, media, and other mechanisms are needed to explain the characteristics of insurance schemes and the different opportunities available. Further, technical assistance should be provided to both public and private sector suppliers to ensure that the needs of producers (particularly the most vulnerable) are met. Such assistance might be best provided through cofinancing for business service providers. Develop effective financial systems. Generally, when the poor do not have access to credit, there is less incentive and capacity to secure insurance and pay up-front premiums. Development of financial markets should be promoted where possible to facilitate saving and borrowing and complement the insurance schemes that are established. The ability of resource-poor farmers to access these services should be at the forefront of public sector involvement. This will also contribute to improving access to funds required for making up-front margin deposits on futures and options contracts for managing price risk. Linking finance to index-based insurance is an innovative approach that has emerged from recent work. REFERENCES 1. Mahul, O. Optimal Insurance against Climatic Experience, American Journal of Agricultural Economics 83(3), 2001 2. Miranda, M., Vedenov, D. Innovations in Agricultural and Natural Disaster Insurance, American Journal of Agricultural Economics 83(3), 2001 3. Mitu, N. E. Asigurari ai reasigurari, Ed. Universitaria, Craiova, 2006. 4. Popescu, J., Cristea, M. Asigurari ai reasigurari – Teorie ai practice, Ed. Universitaria, Craiova, 2003. 5. Zorrilla, J.L. Extensive Herbaceous Cultivation and Cattle Risks: Possibilities that Agricultural Insurance Offers for their Management, The international conference on Agricultural Insurance and Income Guarantee, Madrid,13 May, 2002. Narcis Eduard Mitu, University of Craiova, Faculty of Economics and Business Administration, Craiova, Romania
25.10.2022

A Practical Method for Adjusting the Premium Rates in Crop-Hail Insurance with Short-Term Insurance Data

The frequency of hailstorms is generally low in small geographic areas. In other words, it may be very likely that hailstorm occurrences will vary between neighboring locations within a short period of time. Besides, a newly launched insurance scheme lacks the data. It is, therefore, difficult to sustain a sound insurance program under these circumstances, with premium rates based on meteorological data without a complimentary adjustment process.

18.10.2019

Malta - Vegetable production dropped 7% in 2018

Last year, Malta’s local vegetable produce dropped by 7% when compared to the previous year. The total vegetables produced in tonnes amounted to 58,178, down by 7% when compared to 2017. Their value too diminished as the total produce was valued at €30 million, down by 13% over the previous year. The most significant drop was in potatoes, down by 27% over the previous year. Tomatoes and onions were the only vegetables to have increased in volume, by 3% and 4% respectively but their value diminished by 9% and 24% respectively. The figures were published by the National Statistics Office on the event of World Food Day 2019, which will be celebrated on Wednesday. Cauliflower, cabbage and lettuce produce dropped by 10%, 3%, and 12% respectively. In the realm of local fruit, a drop of produce was registered here too apart from strawberries, which experienced a whopping increase of 58% over 2017. Total fruit produced in 2018 amounted to 13,057 tonnes, down by 1% when compared to 2017. The total produce was valued at €10 million, a 3% increase in value. Peaches produced were down by 35% and the 376 tonnes of peaches cultivated amounted to €0.5 million in value. Orange produce dropped by 10% and lemon produce dropped by 14%. There was no change in the amount of grapes produced and the 3,642 tonnes of grapes produced in 2018 were valued at €2.3 million. 70% of fruit and vegetables consumed in Malta is imported. The drop in local produce could be the result of deleterious or unsuitable weather patterns. Source - https://www.freshplaza.com

07.10.2019

USA - Greenhouse tomato production spans most states

While Florida and California accounted for 76 percent of U.S. production of field-grown tomatoes in 2016, greenhouse production and use of other protected-culture technologies help extend the growing season and make production feasible in a wider variety of geographic locations. Some greenhouse production is clustered in traditional field-grown-tomato-producing States like California. However, high concentrations of greenhouses are also located in Nebraska, Minnesota, New York, and other States that are not traditional market leaders. Among the benefits that greenhouse tomato producers can realize are greater market access both in the off-season and in northern retail produce markets, better product consistency, and improved yields. These benefits make greenhouse tomato production an increasingly attractive alternative to field production despite higher production costs. In addition to domestic production, a significant share of U.S. consumption of greenhouse tomatoes is satisfied by imports. In 2004, U.S., Mexican, and Canadian growers each contributed about 300 million pounds of greenhouse tomatoes annually to the U.S. fresh tomato market. Since then, Mexico’s share of the greenhouse tomato market has grown sharply, accounting for almost 84 percent (1.8 billion pounds) of the greenhouse volume coming into the U.S. market. Source - https://www.freshplaza.com

03.10.2019

World cherry production will decrease to 3.6 million tons

According to information from the USDA for the 2019-2020 season, world cherry production is expected to decrease slightly and amount to 3.6 million tons. This decline is due to the damages that the weather caused on cherry crops in the European Union. Even though Chile is expected to achieve a record export, world trade in cherries is expected to drop to 454,000 tons, based on lower shipments from Uzbekistan and the US. Turkey Turkey's production is expected to increase to 865,000. As a result of the strong export demand, producers continue to invest and improve their orchards, switching to high yield varieties and gradually expanding the surface for sweet cherries. More supplies are expected to increase exports to a record 78,000 tons, continuing its long upward trend. Chile Chile's production is forecast to increase from 30,000 tons to 231,000 as they have a larger area of mature trees. Between 2009/10 and 2018/19, the crop area has almost tripled, a trend that is expected to continue. The country is expected to export up to 205,000 tons in higher supplies. The percentage of exports destined for China has increased from 13 to almost 90% since 2009/10. China China's production is expected to increase by up to 24% and to amount to 420,000 tons, due to the recovery of the orchards that were damaged by frost last year. In addition, there are new crops that will go into production. Imports are expected to increase by 15,000 tons and to stand at 195,000 tons, as the increase in supplies from Chile will more than compensate for the lower shipments from the United States. Although higher tariffs are maintained for American cherries, the United States is expected to remain China's main supplier in the northern hemisphere. United States US production is expected to remain stable at 450,000 tons. Imports are expected to increase to 18,000 tons with more supplies available from Chile. Exports are forecast to decrease for the second consecutive year to 80,000 tons, as high retaliatory tariffs continue to suppress US shipments to China. If this happens, it will be the first time that US cherry exports experience a decrease in 2 consecutive years since 2002/03, when production suffered a fall of 44%. European Union EU production is projected to fall by more than 20%, remaining at 648,000 tons because of the hail that affected the early varieties in Italy, and the frost, low temperatures, and drought that caused a significant loss of fruit in Poland, the main producer. Lower supplies are expected to pressure exports to 15,000 tons and increase imports to 55,000 tons. Russia Russia's imports are expected to contract by 13,000 tons to 80,000 with lower supplies from Kazakhstan, Moldova, and Serbia. Source - https://www.freshplaza.com

09.08.2019

EU - 20% fewer apples and 14% fewer pears than last year

This year's European apple production is expected to come to 10,556,000 tons. That is 20% less than last year. It is also 8% less than the average over the past three years. The European pear harvest is expected to be 2,047,000 tons. This is 14% lower than last year and 9% less than the previous three seasons average. These figures are according to the World Apple and Pear Association, WAPA's top fruit prognoses. They presented their report at Prognosfruit this morning. Apple harvest per country Poland is Europe's apple-growing giant. This country is expected to process 44% fewer apples. The yield is expected to be 2,710,000 tons. Last year, this was still 4,810,000 tons. In Italy, yields are only three percent lower than last year. According to WAPA, this country will have an apple harvest of 2,195,000 tons. France takes third place. They will even have 12% more apples than last year to process - 1,652,000 tons. Pear harvest per country With 511,000 tons, Italy's pear harvest is much lower than last year. It has dropped by 30%. In terms of the average over the previous three seasons, this fruit's yield is 29% lower. In the Netherlands, the pear harvest is expected to be six percent lower, at 379,000 tons. This volume is still 3% more than the average over the last three years. Belgium has 10% fewer pears (331,000 tons) than last year. They are just ahead of Spain. With 311,000 tons, Spain who will harvest four percent more pears. Apple harvest per variety The Golden Delicious remains, by far, the largest apple variety in Europe. It is expected that 2,327,000 tons of these apples will be harvested this year. This is three percent less than last year. At 1,467,000 tons, Gala estimations are exactly the same as last year. The European Elstar harvest will also be roughly equivalent to last year. A volume of 355,000 tons of this variety is expected. Pear harvest per variety Looking at the different varieties, the European Conference is estimated to be 8% lower than last year. A volume of 910,000 tons is expected. The low Italian pear estimate will result in 34% fewer Abate Fetel pears (211,000 tons) being available. This is according to WAPA's estimate. This makes this variety smaller than the Williams BC (230.000 ton) in Europe. Source - https://www.freshplaza.com

30.01.2018

Spring frost losses and climate change not a contradiction in terms - Munich Re

Between 17 April and 10 May 2017, large parts of Europe were hit by a cold snap that brought a series of overnight frosts. As the budding process was already well advanced due to an exceptionally warm spring, losses reached historic levels – particularly for fruit and wine growers: economic losses are estimated at €3.3bn, with around €600m of this insured. In the second and third ten-day periods of April, and in some cases even over the first ten days of May 2017, western, central, southern and eastern Europe experienced a series of frosty nights, with catastrophic consequences in many places for fruit growing and viticulture. The worst-affected countries were Italy, France, Germany, Poland, Spain and Switzerland. Losses were so high because vegetation was already well advanced following an exceptionally warm spell of weather in March that continued into the early part of April. For example, the average date of apple flowering in 2017 for Germany as a whole was 20 April, seven days earlier than the average for the period 1992 to 2016. In many parts of Germany, including the Lake Constance fruit-growing region, it even began before 15 April. In the case of cherry trees – whose average flowering date in Germany in 2017 was 6 April – it was as much as twelve days earlier than the long-term average. The frost had a devastating impact because of the early start of the growing season in many parts of Europe. In the second half of April, it affected the sensitive blossoms, the initial fruiting stages and the first frost-susceptible shoots on vines. Meteorological conditions The weather conditions that accounted for the frosty nights are a typical feature of April, and also the reason for the month’s proverbial reputation for changeable weather. The corridor of fast-moving upper air flow, also known as the polar front, forms in such a way that it moves in over central Europe from northwesterly directions near Iceland. This north or northwest pattern frequently occurs if there is high air pressure over the eastern part of the North Atlantic, and lower air pressure over the Baltic and the northwest of Russia. Repeated low-pressure areas move along this corridor towards Europe, bringing moist and cold air masses behind their cold fronts from the areas of Greenland and Iceland. Occasionally, the high-pressure area can extend far over the continent in an easterly direction. The flow then brings dry, cold air to central Europe from high continental latitudes moving in a clockwise direction around the high. It was precisely this set of weather conditions with its higher probability of overnight frost that dominated from mid-April to the end of the month. There were frosts with temperatures falling below –5°C, in particular from 17 to 24 April (second and third ten-day periods of April), and even into the first ten-day period of May in eastern Europe. The map in Fig. 2 shows the areas that experienced night-time temperatures of –2°C and below in April/May. High losses in fruit and wine growing Frost damage to plants comes from intracellular ice formation. The cell walls collapse and the plant mass then dries out. The loss pattern is therefore similar to what is seen after a drought. Agricultural crops are at varying risk from frost in the different phases of growth. They are especially sensitive during flowering and shortly after budding, as was the case with fruit and vines in April 2017 due to the early onset of the growing season. That was why the losses were so exceptionally high in this instance. In Spain, the cold snap also affected cereals, which were already flowering by this date. Even risk experts were surprised at the geographic extent and scale of the losses (overall losses: €3.3bn, insured losses: approximately €600m). Overall losses were highest in Italy and France, with figures of approximately a billion euros recorded in each country. Two basic concepts for frost insurance As frost has always been considered a destructive natural peril for fruit and wine growing and horticulture, preventive measures are widespread. In horticulture, for example, plants are cultivated in greenhouses or under covers, while in fruit growing, frost-protection measures include the use of sprinkler irrigation as well as wind machines or helicopters to mix the air layers. Just how effective these methods prove to be will depend on meteorological conditions, which is precisely why risk transfer is so important in this sector. There are significant differences between one country and the next in terms of insurability and insurance solutions. But essentially there are two basic concepts available for frost insurance: indemnity insurance, where hail cover is extended to include frost or other perils yield guarantee insurance covering all natural perils In most countries, the government subsidises insurance premiums, which means that insurance penetration is higher. In Germany, where premiums are not subsidised and frost insurance density is low, individual federal states like Bavaria and Baden-Württemberg have committed to providing aid to farms that have suffered losses – including aid for insurable crops such as wine grapes and strawberries. Late frosts and climate change There are very clear indications that climate change is bringing forward both the start of the vegetation period and the date of the last spring frost. Whether the spring frost hazard increases or decreases with climate change depends on which of the two occurs earlier. There is thus a race between these two processes: if the vegetation period in any given region begins increasingly earlier compared with the date of the last spring frost, the hazard will increase over the long term. If the opposite is the case, the hazard diminishes. Because of the different climate zones in Europe, the race between these processes is likely to vary considerably. Whereas the east is more heavily influenced by the continental climate, regions close to the Atlantic coastline in the west enjoy a much milder spring. A study has shown that climate change is likely to significantly reduce the spring frost risk in viticulture in Luxembourg along the River Moselle1. The number of years with spring frost between 2021 and 2050 is expected to be 40% lower than in the period 1961 to 1990. By contrast, a study on fruit-growing regions in Germany2 concluded that all areas will see an increase in the number of days with spring frost, especially the Lake Constance region, where reduced yields are projected until the end of this century. At the same time, however, only a few preliminary studies have been carried out on this subject, so uncertainty prevails. Outlook The spring frost in 2017 illustrated the scale that such an event can assume, and just how high losses in fruit growing and viticulture can be. Because the period of vegetation is starting earlier and earlier in the year as a result of climate change, spring frost losses could increase in the future, assuming the last spring frost is not similarly early. It is reasonable to assume that these developments will be highly localised, depending on whether the climate is continental or maritime, and whether a location is at altitude or in a valley. Regional studies with projections based on climate models are still in short supply and at an early stage of research. However, one first important finding is that the projected decrease in days with spring frost does not in any way imply a reduction in the agricultural spring frost risk for a region. So spring frosts could well result in greater fluctuations in agricultural yields. In addition to preventive measures, such as the use of fleece covers at night, sprinkler irrigation and the deployment of wind machines, it will therefore be essential to supplement risk management in fruit growing and viticulture with crop insurance that covers all natural perils. Source - ttps://www.munichre.com/

17.05.2014

Russia Livestock Overview: Cattle, Swine, Sheep & Goats

Private plots generate 48 percent of cattle, 43 percent of swine and 54 percent of sheep and goats in Russia.  The Russian government recently approved a new program that will succeed the National Priority Project in agriculture (NPP) titled, “TheState Program for Development of Agriculture and Regulation of Food and Agricultural Markets in 2008-2012,” that encourages pork and beef production and attempts to address Russia’s declining cattle numbers.  This program includes import-substitution policies designed to stimulate domestic livestock production and to protect local producers. In the beginning of 2007, the economic environment for swine production was generally unfavorable.  The average production cost was RUR40-45/kilo of live weight, while the farm gate price was RUR40/kilo live weight.  Pork producers have been expressing concern for years about sales after implementation of the NPP as pork consumption is growing at a slower rate than pork production.  As a result, the pork sector has been lobbying the Russian government to regulate imports in spite of the meat TRQ agreement. From January-September 2007, 1.38 million metric tons (MMT) of red meat was imported.  A 12-year decline in beef production has resulted in limited beef availability in the Russian market leading to a spike in prices.  In response, the Russian government has been force to take steps to increase the availability of beef by lifting a meat ban on Poland and by looking to Latin America for higher volumes of product.  Feed stocks decreased during the first 11 months of 2007 compared to the previous year which will likely create even greater financial problems for livestock operations in 2008 as feed prices continue to skyrocket.  Grain prices increased rapidly in Russia through the middle of July 2007 before stabilizing at high levels as harvest progress reports were released. The Russian pig crop is expected to increase by 6 percent in 2008, while cattle herds are predicted to decrease by 3.5 percent.  Some meat market analysts predict that by 2012, as new and modernized pig farming complexes reach planned capacity, pork production could reach 3.5 MMT – up 75 percent from 2008 estimates. According to the Russian Statistics Agency (Rosstat), 1/3 of all Russian “large farms” are unprofitable.  Many of these are involved in livestock production.  Small, inefficient producers are uncompetitive and have already begun disappearing from the market. The Russian veterinary service continues to playa decisive role in meat import supply management. Source - http://www.cattlenetwork.com

27.11.2012

Statistics Canada : Farm income, 2011

Realized net income for Canadian farmers amounted to $5.7 billion in 2011, a 53.1% increase from 2010. This rise followed a 19.0% increase in 2010 and a 19.6% decline in 2009. Realized income is the difference between a farmer's cash receipts and operating expenses, minus depreciation, plus income in kind. Realized net income fell in four provinces: Newfoundland and Labrador, Nova Scotia, Manitoba and British Columbia. In each, increases in costs outpaced gains in receipts. Farm cash receipts Farm cash receipts, which include market receipts from crop and livestock sales as well as program payments, rose 11.9% to $49.8 billion in 2011. This was the first increase since 2008. Market receipts alone increased 12.0% to $46.3 billion. Crop receipts, which increased 15.8% to $25.9 billion, contributed the most to the increase. Sales from livestock products rose 7.5% to $20.3 billion, the largest annual increase since 2005. Stronger prices for grains and oilseeds played a major role in the increase in crop revenues. For example, canola receipts increased 37.3% in 2011 on the strength of a 27.3% gain in prices. Grains and oilseed prices started rising in the last half of 2010 as a result of limited global stocks and strong demand. Even though prices peaked in mid-2011, prices for the year, on average, remained well above 2010 levels. Crop receipts rose in every province except Manitoba and Newfoundland and Labrador. In Manitoba, difficult growing conditions reduced marketings of most grains and oilseeds. In Prince Edward Island and New Brunswick, increases in potato prices and marketings helped push crop receipts higher. It was also stronger prices that were behind the rise in livestock receipts. Hog receipts increased 15.5% to $3.9 billion on the strength of a 14.7% price increase. Cattle prices rose 19.5% in 2011, while receipts increased 1.1% because of a reduced supply of market animals. Hog, cattle and calf prices increased in 2010. The upward trend continued throughout most of 2011, primarily because of low North American inventories and high feed grain costs. Receipts for producers in the three supply-managed sectors-dairy, poultry and eggs-increased 7.9% as rising prices reflected higher costs for feed grain and other production inputs. A 14.9% rise in chicken receipts exceeded increases for eggs (+8.7%) and dairy products (+5.3%). Program payments increased 11.2% to $3.5 billion in 2011. Increases in Quebec provincial stabilization payments as well as crop insurance payments in Manitoba and Saskatchewan accounted for much of the rise. Farm expenses Farm operating expenses (after rebates) were up 8.4% to $38.3 billion in 2011, the second-largest percentage increase since 1981. This increase followed two consecutive years of modest declines. Higher prices for fertilizer, feed and machinery fuel contributed to the increase in operating expenses. According to the Farm Input Price Index, both fertilizer and machinery fuel prices were up by over 25% in 2011. At the same time, feed grain prices increased by more than 30%. When depreciation charges were included, total farm expenses increased 8.2% to $44.1 billion. Depreciation costs rose 6.9%. Total farm expenses advanced in every province in 2011. The largest percentage increases occurred in Saskatchewan (+12.3%), Quebec (+9.5%) and Alberta (+9.0%). Total net income Total net income reached $5.8 billion, a $3.3 billion gain. There were large increases in Saskatchewan (+$2.1 billion), Alberta (+$567 million) and Ontario (+$470 million), while Newfoundland and Labrador, New Brunswick and Manitoba saw declines. Total net income adjusts realized net income for changes in farmer-owned inventories of crops and livestock. It represents the return to owner's equity, unpaid labour, and management and risk. The total value of farm-owned inventories rose by $165 million in 2011. A strong increase in deferred grain payments together with the first increase in cattle inventories since 2004 contributed to the rise. Note to readersRealized net income can vary widely from farm to farm because of several factors, including commodities, prices, weather and economies of scale. This and other aggregate measures of farm income are calculated on a provincial basis employing the same concepts used in measuring the performance of the overall Canadian economy. They are a measure of farm business income, not farm household income. Financial data for 2011 collected at the individual farm business level using surveys and other administrative sources will soon be tabulated and made available. These data will help explain differences in performance of various types and sizes of farms. For details on farm cash receipts for the first three quarters of 2012, see today's "Farm cash receipts" release. As a result of the release of data from the 2011 Census of Agriculture on May 10, 2012, data on farm cash receipts, operating expenses, net income, capital value and other data contained in the Agriculture Economic Statistics series are being revised, where necessary. The complete set of revisions will be released in the November 26, 2013, edition of The Daily. Table 1 Net farm income 2009 2010r 2011p 2009 to 2010 2010 to 2011 millions of dollars % change + Total farm cash receipts including payments 44,599 44,466 49,772 -0.3 11.9 - Total operating expenses after rebates 36,052 35,315 38,276 -2.0 8.4 = Net cash income 8,547 9,151 11,496 7.1 25.6 + Income-in-kind 39 40 45 2.6 11.1 - Depreciation 5,471 5,483 5,864 0.2 6.9 = Realized net income 3,115 3,709 5,677 19.0 53.1 + Value of inventory change -281 -1,157 165 ... ... = Total net income 2,834 2,551 5,842 ... ... Table 2 Net farm income, by province Canada Newfoundland and Labrador Prince Edward Island Nova Scotia New Brunswick Quebec millions of dollars 2010r + Total farm cash receipts including payments 44,466 118 407 500 479 7,171 - Total operating expenses after rebates 35,315 106 367 422 406 5,472 = Net cash income 9,151 12 41 78 73 1,699 + Income-in-kind 40 0 0 1 1 10 - Depreciation 5,483 8 41 59 54 727 = Realized net income 3,709 4 0 19 20 983 + Value of inventory change -1,157 -0 18 0 9 13 = Total net income 2,551 4 18 19 29 996 2011p + Total farm cash receipts including payments 49,772 120 477 527 533 7,967 - Total operating expenses after rebates 38,276 114 391 448 424 6,018 = Net cash income 11,496 6 86 79 109 1,949 + Income-in-kind 45 0 0 1 1 11 - Depreciation 5,864 9 43 62 55 767 = Realized net income 5,677 -2 43 18 55 1,194 + Value of inventory change 165 -0 -12 2 -50 -24 = Total net income 5,842 -3 31 20 5 1,170 Source - http://www.4-traders.com/

istanbul escort şişli escort tbilisi escort şişli escort şişli escort maslak escort istanbul escort beşiktaş escort taksim escort izmir escort ümraniye escort mecidiyeköy escort şişli escort taksim escort ümraniye escort kartal escort şirinevler escort maltepe escort istanbul escort ümraniye escort kadıköy escort vip escort mersin escort istanbul escorts ataköy escort avcılar escort beylikdüzü escort okmeydanı escort şişli escort tuzla escort işitme cihazı sex shop sex shop sex shop sex shop sex shop sex shop sex shop sex shop