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SU0013917
Environmental Health - Public
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SU0013917
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Last modified
8/23/2021 1:18:23 PM
Creation date
3/4/2021 8:02:54 AM
Metadata
Fields
Template:
EHD - Public
ProgramCode
2600 - Land Use Program
RECORD_ID
SU0013917
PE
2631
FACILITY_NAME
PA-1800315
STREET_NUMBER
13773
Direction
S
STREET_NAME
MURPHY
STREET_TYPE
RD
City
ESCALON
Zip
95320-
APN
20312011
ENTERED_DATE
2/10/2021 12:00:00 AM
SITE_LOCATION
13773 S MURPHY RD
RECEIVED_DATE
4/8/2021 12:00:00 AM
P_LOCATION
99
P_DISTRICT
004
QC Status
Approved
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EHD - Public
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August 6, 2013 <br /> Page 2 of 7 <br /> Dairy production in California <br /> Milk and associated dairy products (cheese, dry milk powder, butter, ice cream, etc.) are California's top grossing <br /> agricultural products. Based on a study commissioned by the California Milk Advisory Board, California's dairy <br /> industry supported 450,000 jobs and generated $63 billion in economic impact statewide in 2008. Nationally, <br /> California's production is significant: in 2012, California led the nation in milk production, producing 21%of the <br /> U.S.'s milk supply. <br /> In recent years, milk price volatility has become a part of dairy operators' reality.The large variation in <br /> estimated margins over the past five years is a clear illustration of that. 2009 was especially negative as dairy <br /> operators in California were faced with historically low prices for milk and unusually high cost of production. <br /> Costs of production have remained high, fueled notably by high feed costs that remain supported by the <br /> government's ethanol policies.The margins outlined in this document do not include the cost of compliance <br /> with environmental regulations, which are becoming an increasingly larger part of the cost of producing milk in <br /> California. Each year, dairies have been forced out of business.The net loss of dairy operations over the past five <br /> years totaled 387 farms.This data does not include the number of farmers forced out of business and whose <br /> dairies were acquired by another dairy operation that managed to stay in business. <br /> California dairies are complex and advanced operations. Nearly all California dairies are family run, and the <br /> farmers strive for production efficiencies through the use of advanced technologies in genetics, nutrition, <br /> reproduction, animal housing, and animal welfare. <br /> Data <br /> 1) Cosbf production <br /> To calculate the impact of retrofitting dairy lagoons, data from the CDFA Cost of production studies <br /> were used.Those studies are conducted quarterly. CDFA staff goes to dairies and gather actual financial <br /> information. A sample representing approximately 10%of the dairy farms in California is analyzed each <br /> year to provide a representative picture of the financial health of the state's dairy operations (cost of <br /> production studies can be found at: http://cdfa.ca.gov/dairy/dairycop_annual.html). In this financial <br /> impact study, data from that sample was analyzed. More specifically, dairies representative of the sizes <br /> used in the P&P study were studied (300 cows, 750 cows, 1,500 cows and 3,000 cows). <br /> CDFA releases a cost of production that includes allowances (return on investment and return on <br /> management). Because the return on investment is an allowance that can be foregone if the dairy <br /> operation is in a dire situation, it was not included in the cost of production number for the purpose of <br /> this analysis. <br /> The cost of retrofitting dairy lagoons was analyzed under four different scenarios. Because the "new <br /> location" without assuming a wet clean-up cost was the cheaper option, it was used for a low end <br /> estimate. Utilization of both single and double liners was analyzed.The "new location" with wet clean- <br /> up cost is the most expensive option; therefore it was used as the most expensive end of the range for <br /> analysis purposes. Both single and double liners were also analyzed. From these four scenarios, specific <br /> yearly costs to the dairy were calculated using financing assumptions (repayment estimates included in <br /> Appendix A). <br />
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