FINANCIAL ANALYSIS OF CATTLE BREEDING FARM IN SLEMAN DISTRICT. Shanti Emawati 1 and Endang Tri Rahayu 1. Abstract

Similar documents
Evaluating Drought Forced Culling Decisions. Larry Falconer and David Anderson Texas AgriLife Extension Service. May 10, 2011

Determining the costs and revenues for dairy cattle

Determining the Cost of Beef Production from Cattle Fattening in the Smallholder Farming ABSTRACT

Animal Production Systems Group, Wageningen University, The Netherlands

Risk Production Analysis of Small-Scale Beef Cattle Farmers in the Special Region of Yogyakarta, Indonesia

Internal Herd Growth Generating Profits through Management

New Limousin Genomic Breeding Values (GEBVS) Delivering s value for commercial producers

Financial Feasibility Analysis of Cocoa Farming Business in Southeast Sulawesi

Technical Economy Study on Jurang Jero Small Dam Construction Project In Blora Regency

Influence of Farmers Human Resources Quality and Group Conditions on Simantri Application Level in Bali

2007 PLANNING BUDGETS FOR DAIRY PRODUCTION IN MISSISSIPPI COSTS AND RETURNS. 112 and 250 COW DAIRY ENTERPRISES LARGE BREED CATTLE MISSISSIPPI, 2007

Culling and Replacement Strategies. Stable to declining herd. Under the magnifying lens 2/20/2012. Matt Lippert Wood Co.

Before Digging Into AI Value. Marketing Opportunities for AI Bred Heifers and AI Sired Progeny. U.S. Calf Crop. Sco$ Brown presenta/on Oct.

Interest and equivalence

Part 1 - Improving the performance of beef production systems in northern Australia

The impact of a carbon price on Australian farm businesses: Grain production

Differences Between High-, Medium-, and Low-Profit Cow-Calf Producers: An Analysis of Kansas Farm Management Association Cow-Calf Enterprise

RED MEAT PRODUCERS' ORGANISATION PRESS RELEASE

(Paraserianthes falcataria) and singkong gajah (Manihot esculenta) in PT. Inhutani II Pulau Laut

INVESTMENT PATTERN AND MAINTENANCE COST IN SWEET ORANGE ORCHARD: AN ECONOMIC ANALYSIS

Focus. Panhandle Model Farms 2018 Case Studies of Texas. High Plains Agriculture

THE BENEFITS OF FINANCIAL BENCHMARKING TO FARMERS IN THE UNITED STATES

Agriculture & Business Management Notes...

Differences Between High-, Medium-, and Low-Profit Cow-Calf Producers: An Analysis of Kansas Farm Management Association Cow-Calf Enterprise

Focus. Panhandle Model Farms 2016 Case Studies of Texas. High Plains Agriculture. DeDe Jones Steven Klose

More beef calves from the dairy industry: a survey

Cattle Market Update: August Kenny Burdine UK Agricultural Economics

An Economic Evaluation of Investment on Aonla (Emblica officinalis G.) in Gujarat*

Financial Analysis of Citrus Keprok 55 In Conventional Way and Using Sprinkler Irrigation

Suckler beef systems assessing steps to improve profitability

Selecting a Beef System by Pearse Kelly

4 : Research Methodology

Breeding for Tuberculosis and Liver Fluke Resistance. Siobhán Ring Irish Angus Meeting, 7 th February 2019

2018 Ontario Mapleseed Pasture Award

research report The Impact of a Carbon Price on Australian Farm Businesses: Grain Production Australia s Independent Farm Policy Research Institute

Beef Cow Enterprises 2000 Costs and Returns Summary. Kentucky Farm Business Management Program

Cow-Calf Enterprise Standardized Performance Analysis

Ireland s Strategy for a More Profitable Beef and Sheep Industry. Dr. David Beehan Department of Agriculture, Food and Marine

United States Standards for Grades of Carcass Beef. SUMMARY: The Agricultural Marketing Service (AMS) of the Department of

Adjustment of cattle and sheep production in Croatia to the actual economic and market environment

Focus. Analyzing the Impact of Drought Conditions on Texas High Plains Agriculture

Canfax Research Services A Division of the Canadian Cattlemen s Association

Creating Premium Beef Maximizing Dairy Profit

Differences Between High-, Medium-, and Low-Profit Cow-Calf Producers: An Analysis of Kansas Farm Management Association Cow-Calf Enterprise

Journal of Applied Science and Agriculture

Australian Beef Financial performance of beef farms, to

Production Performance of Etawah Crossed Goats in Turi Sleman, Yogyakarta

PERSPECTIVE OF CATTLE POPULATION DEVELOPMENT IN WEST JAVA INDONESIA

2012 STATE FFA FARM BUSINESS MANAGEMENT TEST PART 2. Financial Statements (FINPACK Balance Sheets found in the resource information)

Economics and GHG emissions of Irish cattle systems

Major Determinates. of Feeder Cattle Prices at Arizona Livestock Auctions. Technical Bulletin 197

2017 Beef Cattle Market Outlook

PT INDOGAL GROUP COMPANY PROFILE PT Indogal Agro Trading 2018 Catalogue

Pricing/Formula Grids: Which Fit and Which Don't Fit

AN AHDB PAPER ON THE IMPACT OF CHANGES IN COUPLED PAYMENTS TO THE UK CATTLE AND SHEEP SECTORS

In this lesson, we will start discussing a new innovation for Piedmont Farm a solar panel installation and begin to look at how to prepare a

Isadora Turnip, Budi Rahayu Tanama Putri, I Wayan Sukanata. Faculty of Animal Husbandry, Udayana University, Denpasar-Bali, Indonesia.

Determining Your Unit Costs of Producing A Hundred Weight of Calf

The new infrastructure for cattle and sheep breeding in Ireland.

Where can the greatest economic value of genomic testing be found?

ENTREPRENEURIAL LEARNING REFLECTION IN AN ECONOMIC AND SOCIAL CHANGE IN LIFE ORGANIC FARMERS

10/6/2015. Markov decision process: Case example. Optimal management of replacement heifers in beef herd. Age, body weight, season Late breeding

Managing stock surplus to the milking herd

WATER ECONOMIC VALUE OF FRESH WATER SYSTEM IN THE TANGGUNGGUNUNG VILLAGE, INDONESIA

HERD REPLACEMENTS: HEIFERS OR OPEN COWS?

TO IDENTIFY EASY CALVING, SHORT GESTATION BEEF BULLS WITH MORE SALEABLE CALVES USE THE DAIRY BEEF INDEX

Factors affecting the price of feeder cattle in New York

Challenges with Heifer Selection - HOW MANY Should I Breed, and What are they worth?

Beef and Dairy Market Outlook

Benchmarking Your Herd s Economic Facts

IRISH CATTLE BREEDING FEDERATION

Economics 330 Fall 2005 Exam 1. Strategic Planning and Budgeting

Ireland s Strategy for a More Profitable Beef and Sheep Industry Dr. David Beehan B.Agr.Sc., PhD. Department of Agriculture, Food and the Marine

GENERAL AGREEMENT ON TARIFFS AND TRADE

Investment in fish seed multiplication farms in Bangladesh: Evidences of an attractive business

Managing the Beef Cattle Herd through the Cattle Cycle

Carcass Video Images in Genetic Evaluation and Breeding Program in Ireland

DAIRY CATTLE CROSSBREEDING- POLICY AND RESPONSIBILITY

Opportunities and Challenges for Cow/Calf Producers 1. Rick Rasby Extension Beef Specialist University of Nebraska

International Journal of Advanced Engineering and Management Research Vol. 3 Issue 2; ISSN:

The effect of increased production efficiency in beef production

Making Beef Out of Dairy

Visual Economic Tool FAQ

CALL FOR PROPOSALS Beef Cattle Genetic Enhancement Demonstration Project

Annual Summary Data Kentucky Beef Farms 2013

Intro to Livestock Marketing Annie s Project. Tim Petry Livestock Economist 2018

Volume-4, Issue-6, November-2017 ISSN No:

Focus. Panhandle Model Farms Case Studies of Texas High. Plains Agriculture

COOL Compliance for Beef Operations Ron Lemenager, Matt Claeys, and Allen Bridges Purdue University, Department of Animal Sciences

Welcome to the Fed Cattle Market Simulator

Retained Ownership In Cattle Cycles

COST OF MILK PRODUCTION IN KENYA- ROUND 2 OF THE SURVEY. J.M.K. Ojango, E. Kinuthia and I. Baltenweck

Agriculture & Natural Resources

Retail outlets selling meat in Indonesia

ACQUISITION OF HYDROPONIC GREEN FODDER CULTIVATION EQUIPMENT (AG)

The Business Feasibility of Smallholder s Oil Palm Plantation in Seruyan Regency, Central Kalimantan, Indonesia

Strategies of European Fleckvieh Cattle Breeding to optimize dual-purpose breeding particularly for beef production

PLEASURE WITH A CLEAR CONSCIENCE beef from the grasslands of the Baltic States Estonia, Latvia and Lithuania.

DISTRICT ANTICIPATES FURTHER EXPANSION remains relatively strong amid spending expansions

Nancy M. Hodur F. Larry Leistritz. HREC Beef Research Review January 10, 2008

Transcription:

FINANCIAL ANALYSIS OF CATTLE BREEDING FARM IN SLEMAN DISTRICT Shanti Emawati 1 and Endang Tri Rahayu 1 Abstract The research was conducted to determine the feasibility of financial on beef cattle farming and calculate the Break Even Point (BEP) in Sleman District. Survey methods was done to collect primary data at the farm level and secondary data from related institution. Criteria used to analyze the feasibility of financial were consisted of Benefit Cost Ratio (BCR), Net Present Value (NPV), Internal Rate of Return (IRR) and Payback Period (PPC), based on 7 years investment and 12% annual discount factor. The result showed that based on NPV, IRR, BCR and PPC analysis, the most feasible investment of cattle breeding farm under farmers condition was achieved when farmers keep Limousine grade cattle, followed by Simmental and Ongole grade cattle. In term of PPC, farmers who keep Limousine grade cattle were able to return the investment during 3.25 years while for Simmental and Ongole grade cattle were 3.44 and 5.19 years, respectively. The BEP of keeping Simmental, Limousine and Ongole grade cattle were 8, 9 and 7 cows/farmer, respectively, which mean that farmers will annually benefited from keeping cattle when the number of cows was larger than those of BEP. Keywords : Cattle breeding farm, Financial analysis, NPV, BCR, BCR Introduction Role as a supplier of beef cattle is quite large. Cattle population in Indonesia during the period of four decades significantly increased an average of 6.69 million during the period 1961 to 1970, to 11 million in the year 1991 to 2006. Increase in cattle population is somehow not been able to meet the demand for beef, it is still characterized by increased imports, especially after 1991. Problems faced in the beef cattle business in Indonesia is more than 90% maintained by farmers in the traditional way, small-scale businesses, a sideline business and technology are simply so low productivity. The case of productive heifer slaughters that reached 70% of heifer who slaughtered the also raises the impact of the beef cattle population. Lack of public awareness that resulted in the rate of population growth to be stunted. All of this is the cause of the imbalance between population growth with the needs of cattle for beef. Such conditions indicate the cattle business has a good market opportunity. To reduce foreign exchange expenditure and avoid slaughter productive cows need to be developed as a 1 Animal Science Department, Agriculture Faculty, Sebelas Maret University, Surakarta, Indonesia, email: shanti_uns@yahoo.co.id 681

supplier of breeding calves. Hence the need for the development of cattle breeding as a supplier of calves and pursue Meat Sufficiency Program in 2014 that has been declared by the General Directorate of Animal Husbandry. Ability of our farmers in producing livestock, especially for breeding is very limited due to the breeding of beef cattle breeding farm requires a substantial investment when measured by the ability of small farmers in providing capital. So also generates long term, requiring time to maintain a relatively long. Nevertheless the economic, capital or investment is not a problem if a business profitable or feasible. Therefore, researchers interested in conducting research on investment analysis for beef cattle breeding farm. The purpose of this study was to determine the financial feasibility of beef cattle breeding farm investment and determine the break even point (BEP) of beef cattle breeding farm. Methods Method of determining the location Method of determining the location of the study determined a deliberate, with the location of the study sample in Sleman on the basis that in that location there are several groups of livestock farmers. The sampling method Sampling method with a purposive sampling are selected farmer of samples group who have been maintained a minimum of 1 year of beef cattle and had a calf. Number of samples taken in the study were 60 respondents to the decision in proportion to each group. The selection of the sample mean purposively selected and set based on certain considerations relevant to the objectives of the study (Sugiyono, 2006). Methods of data collection. Carried out by the method of data collection survey. The data taken are the primary data and secondary data. Primary data obtained from interviews of respondents cattle farmer using a questionnaire. Secondary data to support the primary data obtained from the Department of Agriculture and Marine Resources, Sub Department of Animal Husbandry Sleman. Primary data are drawn include: identity of the farmer, investment, operating costs, revenue, maintenance management to determine the technical coefficients. 682

Data Analysis 1. Technical coefficients Technical coefficients which affect the cost and acceptance of beef cattle breeding farm is calving interval, services per conception, mortality and age of calf sales. 2. Analysis of costs and revenues Fee required in this analysis is the cost of investment and operational costs. Receipts from the sale of the calf as the principal products and sales of feces as a byproduct. 3. Analysis of the feasibility criteria. Data were analyzed using analysis of farm financial based on the age of investments is 7 years with a discount factor of 12% / year. Feasibility criteria for these investments based on the assumption that the cattle can produce for 7 years, the next will decline in reproductive performance. Feasibility criteria include BCR, NPV, IRR and payback period. Benefit cost ratio (BCR). Appropriate variable in this analysis is the gross benefit that has been present value with a total cost that has been present value. The formula used is : Discounted gross benefit BCR = Discounted total cost (Gittinger, 1986) It is farm if the net B / C ratio > 1, then the project "go", while the net value of B / C ratio <1, then the project "no go" (Prawirokusumo, 1990). Net present value (NPV). Appropriate variable in this analysis is the benefit and cost that has been present value with the level of discount rate. The formula used is: Description: n Bt Ct NPV = (Gittinger, 1986) ( 1 i) t= 1 + Bt = Benefit / gross profit earned in year t Ct = Cost / cost incurred in year t t 683

i = the discount rate n = economic life of the project (years) It is a project if NPV> 0, then the project is feasible. If NPV = 0, it means exactly for the project to restore the social opportunity cost of capital. If NPV <0, so that the project is rejected it means a different and more favorable to the necessary resources projects (Kadariah et al., 1999). Internal rate of return (IRR). Appropriate variable in the analysis are benefit and cost that has been present value. The formula used is: IRR = i + 1990) NPV NPV + NPV X(i -i ) (Prawirokusumo, Description: NPV '= NPV is positive NPV = NPV is negative i '= the interest rate that produces a positive NPV i "= the interest rate that produces a negative NPV It is farm if the IRR> social discount rate, then the effort is feasible and if the value of IRR <social discount rate, then the project would not be feasible (Pudjosumartono, 1995). Payback period. Appropriate variable in the analysis of the payback period is the ratio of capital / investment with an average net benefit per year. The formula used is: C Payback period = E Description: C = capital / investment E = the average net benefit per year (Prawirokusumo, 1990) 4. Analysis of break even point (BEP) 684

Appropriate variable in the analysis of BEP are fixed costs, variable costs, the sale of calves. The formula used is: Fixed cost Sales of BEP = 1- Variable cost Sales Sales of BEP BEP (unit) = Selling price 2002) (Sigit, Results and Discussion Financial feasibility analysis Financial feasibility studies are very important because to find out if the business carried on within a certain period can be profitable for the farmer or not. To determine the feasibility of a business carried on, it used three criteria test the feasibility of NPV, IRR and BCR by using a discount rate of 12% and 7 year investment period. The amount of financial criteria presented in Table 1. Table 1. Financial criteria for cattle breeding farm in Sleman District Financial criteria NPV BCR IRR Payback period PO 5,534,996.00 1.35 20.28% 5.19 years Value of financial criteria Peranakan Simmental 10,919,956.00 1.59 27.70% 3.44 years Peranakan Limousine 11,900,156.00 1.74 32.64% 3.25 years Table 1 shows that farmers keep PO, Peranakan Simmental dan Peranakan Limousine grade cattle were feasible to run because the NPV is positive, BCR> 1 and IRR> discount factor. Peranakan Limousine grade cattle most feasible to run than PO and Peranakan Simmental cattle since the financial criteria showed the greatest among the three types of cattle. 685

NPV criteria. NPV analysis is important because certain amount of money at the present time has a different value in the future. NPV is the entire net cash flow figure is multiplied by the discount factor in the year and interest rates that have been determined (Prawirokusumo, 1990). A cattle breeding farm is said to deserve to be run when the NPV is positive. This study uses a discount factor of 12% based on the prevailing bank interest rate when the study. NPV value of Peranakan Limousine cattle is greater than PO and Peranakan Simmental cattle. NPV value of Peranakan Limousine is 11,900,156.00 / 7 years. This means that the profits of farmers is quite large in the amount of 1,700,022.00 / 2 years. For PO and Peranakan Simmental cattle gains less the amount of 790,714.00 / year and. 1,559,994.00 / years. BCR criteria. BCR is a comparison between the results that has been present value with capital costs can be accepted as an indicator of whether or not an investment that is executed. A beef cattle breeding farms is feasible if the BCR> 1 (Kadariah et al., 1999). Based on this research, the BCR on the three types of cattle are worth more than one. This means that cattle breeding farms is feasible because of the revenue that the farmer is greater than the costs incurred. BCR value of Peranakan Limousine cattle obtained is greater than PO and the Peranakan Simmental cattle in the amount of 1.74 so that among the three types of cattle, the breeding farm of the most feasible to run the Peranakan Limousine cattle. IRR criteria. IRR is the net rate of return on investment as positive net benefits are reinvested in the next year and get the same interest rate over the remaining life of the project (Prawirokusumo, 1990). A beef cattle breeding farms is feasible if the IRR is greater than 12% of the interest rate (discount rate) to current research. The results showed that the three types of cattle were of the IRR is greater than 12%. This means that the farmer is able to return the invested capital. IRR value of Peranakan Limousine cattle is greater than PO and the Peranakan Simmental cattle that among the three types of cattle, Limousine Peranakan cattle breeding farm most feasible to run. Payback period. Payback period indicates the period necessary to restore the whole capital employed in the initial investment. If the payback period is shorter than the age of the investment, the venture is profitable making it feasible to run, but if the payback period is longer than the age of the investment business is not feasible (Husnan and Suwarsono, 2005). Based on the research found that payback period value of Peranakan Limousine cattle is shorter than PO and Peranakan Simmental cattle is 3.25 years. This 686

means that in less than four years to recover the investment so that Limousine Peranakan cattle breeding farm is best run since the most rapid return on investment compared to PO cattle and Peranakan Simmental cattle breeding farms. According Cholig (1999), the less time the better the return for the effort. BEP analysis Break-even analysis is an analysis that shows the number of sales volume to cover its operating costs. This means that the sales volume of beef cattle breeding farms had no loss or gain (Wibisono, 1997). To know more clearly about the value of the BEP on beef cattle breeding farms with calf sales calculation are presented in Table 2. Table 2. BEP value of cattle breeding farm in Sleman District Description Fixed cost Variable cost Sales (revenue) BEP (rupiah) BEP (unit/ekor) PO 12.519.306,00 2.780.940,00 5.521.429,00 25.223.401,00 9,14 Grade cattle Peranakan Simmental 15.446.040,00 2.674.754,00 6.743.905,00 25.599.104,00 7,59 Peranakan Limousine 13.180.941,00 2.710.114,00 6.528.711,00 22.535.649,00 6,90 Table 2 shows that BEP value of Peranakan Limousine cattle breeding farm lower than PO and the Peranakan Simmental cattle. The BEP of keeping Simmental, Limousine and Ongole grade cattle were 8, 9 and 7 cows per farmer, respectively, which mean that farmers will annually benefited from keeping cattle when the number of cows was larger than those of BEP. Conclusion Based on the financial analysis of beef cattle breeding farm on the condition of farmers in Sleman District by using the age of 7 years of investment, 12% discount factor, with the maintenance of two cows producing the best feasibility value is the Peranakan Limousine cattle with NPV value = 11,900,156.00, IRR = 32.64% and BCR = 1.74, then Peranakan Simmental cattle with NPV value = 10,919,956.00, IRR = 27.70% and 687

BCR = 1.59 next to value NPV of PO cattle = 5,534,996.00, IRR = 20.28% and BCR = 1.35. In term of payback period, farmers who keep Limousine grade cattle were able to return the investment during 3.25 years while for Simmental and Ongole grade cattle were 3.44 and 5.19 years, respectively. The BEP of keeping Simmental, Limousine and Ongole grade cattle were 8, 9 and 7 cows per farmer, respectively, which mean that farmers will annually benefited from keeping cattle when the number of cows was larger than those of BEP. References [1]Choliq, A., and S. H.R.A.Wirasasmita Introduction. Pioneer Jaya. Bandung. Hasan. Of 1999. Evaluation Project, An [2]Gittinger, J.P. 1986. Economic Analysis of Agricultural Projects. UI-Press. Jakarta. [3]Husnan, S. and Suwarsono. 2005. Feasibility Studies Project. Faculty of Economics. University of Gadjah Mada. Yogyakarta. [4]Kadariah, L. Karlina and C. Gray. 1999. Introduction to Project Evaluation. Faculty of Economics. Universitas Indonesia, Jakarta. [5]Prawirokusumo, S. 1990. Farm Science. Issue I. BPFE. Yogyakarta. [6]Sigit, S. 2002. Break Even Analysis In Linear Design Brief and Practical. The ninth Edition. BPFE. Yogyakarta. [7]Sugiyono. 2006. Business Research Methods. CV Alfabeta. Bandung. [8]Susieni, A. 2003. Business Feasibility Study. Second Edition. Andi publishers. Yogyakarta. [9]Wibisono, C.H. 1997. Working Capital Management. Issue 3. Atma Jaya University. Yogyakarta 688