Source: UNIV OF IDAHO submitted to NRP
DECISION MAKING AND RISK MANAGEMENT IN AGRICULTURAL BUSINESS
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
1006782
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Jul 1, 2015
Project End Date
Jun 30, 2020
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
UNIV OF IDAHO
875 PERIMETER DRIVE
MOSCOW,ID 83844-9803
Performing Department
Agri Economics & Rural Sociol
Non Technical Summary
Agricultural decision making under uncertainty is one of the main interests for agricultural economists. This subject is implicitly divided into two separate categories: the choice of input levels for production and the allocation of land among crops (Babcock, Chalfant, and Collender, 1987). Although both categories include similar aspects of risk in agricultural production, they are generally analyzed separately, and rarely incorporated together in the literature. This research project intends to combine them in expected utility maximization framework and utilize this approach to analyze risk management strategies for agricultural and financial decision making.Farmers make decisions by selecting one among many alternatives to diminish the negative economic effects of risk factors. Risk usually refers to the situation when alternative outcomes or conditions have known probabilities (Dixit and Pindyck, 1994). In turn, uncertainty refers to the outcomes and conditions with unknown probability distributions. However, these terms are often used interchangeably (Roberts, Osteen and Soule, 2004). All risk factors are categorized in literature as production risk, price risk, financial risk, institutional risk, and human risk (Antle, 1987; Moss, 2010). Input and allocation decision making depends on exogenous variables affecting the output of the production system. These exogenous variables can be risky conditions or assets Examples of such exogenous variables are weather, new technologies (precision agriculture), commodity prices, returns, monetary contributions, insurance programs, or interest rates. Overall, this project aims to determine an optimal schedule (timing) and/or optimal amount of inputs to improve risk management.
Animal Health Component
50%
Research Effort Categories
Basic
50%
Applied
50%
Developmental
0%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
6016110301050%
6026110301025%
6106110301025%
Goals / Objectives
The overall objective is to analyze factors which have significant impacts on allocation decision, financial risk and risk management in agricultural production nationwide or particularly focused on Pacific Northwest. Economic models will be developed for input allocation, risk analysis, financial decision making. Specific issues which require consideration of risk management actions include but are not limited to:1. Input decision for agricultural producers.2. Input and/or output allocation.3. Agricultural production.4. Land allocation and the option price model.5. Investment decision and asset allocation.6. Pension funds.7. Insurance policy choice as a risk management strategy.8. Futures and volatility in spot market prices.9. The impact of new trade policies on dairy.10. Agribusiness.
Project Methods
The studies will use both analytical and empirical methods to address the issues mentioned above. The foundations for the research problems will be evaluated using analytical approach. The implications of these problems are quantitatively evaluated with empirical methods. This project is intended to study numerous issues pertaining to allocation decision, agricultural finance and risk management. Each effort will require the development of appropriate methodologies. As the specific details of the research questions become available, the methodology which is most appropriate, given data availability and other particulars, will be chosen and adjusted accordingly.The set of empirical methods includes, but is not limited to, Multivariate empirical (MVE) probability distributions (Richardson et al., 2000) and Monte Carlo simulation, the differential approach to production theory (Theil, 1975; Clements, 1978; Laitinen and Theil, 1978; Laitinen, 1980; Theil, 1980; Livanis, 2004), the Financial Full Carry (FFC) model (Irwin and Sanders, 2012). The differential allocation model for the multiproduct firm is a variant of the Differential Allocation Model derived by Seale, Vorotnikova and Asci (2014). Several data sources will be used in this project. Agricultural production, input and output prices data for selected commodities at the state and/or level are available through USDA-NASS (2015). Employee contributions to pension funds and commodity future prices can be collected at U.S. Department of Labor (2014) and Chicago Mercantile (CMO, 2015), When necessary, trade data can be collected at USDA-FAS (2015). The farm budgets developed by University of Idaho Extension Service will be the source to incorporate farm level risk management into analysis.Calculation of participation: A faculty member (Scientist), who has a 50% research appointment in the IAES, intends to commit 40% of his/her research time to the project. For a5-year project,the participation becomes 0.2 x 5 = 1.0.

Progress 10/01/15 to 09/30/16

Outputs
Target Audience:The target audience was successfully reached at the conferences, where the audience includes the academic colleagues (students,professors, and researchers)in the Agricultural Economics field from the universities across the country, governmental organizationsand the representatives of the relevant associations such as USDA - ERS, USDA - Office of Chief Economist, and Farm Bureau. Changes/Problems:No major changes or problems in the line of research. What opportunities for training and professional development has the project provided?The developed and presented papers are in the process of being turned into manuscript for publication in journals. The topics spurred new research by my graduate students. The research was also instrumental in developing further studies that are submitted for other grants. How have the results been disseminated to communities of interest?The results have been disseminated to the dairy industry, research colleagues, students, and USDA professionals. What do you plan to do during the next reporting period to accomplish the goals?Continue to progress in turning presented papers into manuscripts and submitting the manuscripts for publications in journals. Finishing research together with my graduate students and preparing manuscripts for publication. Desseminate the results of our studies at the academic,professional, and industryconferences.

Impacts
What was accomplished under these goals? Developed a study thatcontributes to the literature by quantifying the independent optimal hedge horizons for corn, soybean meal, and hog hedges in a wean-to-finish hog operation. Another contributions of the paper is that we assess the effect of the insurance programs (Livestock Gross Margin - Swine) for the hog producers enacted by the Agricultural Act of 2014 on the optimal hedge horizons. Developed and presented a paper on the potential impacts of the TTIP on the U.S. and EU cheese industry. A spatial equilibrium model of the cheese trade is constructed and empirically specified in GAMS. Bilateral trade amongst important cheese exporting and importing countries are selected for the analysis (the United States, Europe, East Asia, Southeast Asia, and Africa). The model uses the data from 2010-2014 period and simulates the impact of the TTIP on the U.S. cheese industry by analyzing the industry before and after alternative outcome scenarios.The preliminary results suggest that in case of decreased tariff rates levied on U.S. cheese imports by EU, U.S. cheese exports to EU increase insignificantly. However, if decreased tariff rates are coupled with liberalization of GI certification, U.S. exports significantly expand not just to EU, but to East Asia, Southeast Asia, and Africa. EU's cheese exports to Africa stay unaffected, but a decrease in exports to Asia occur. Developed and presented anarticle where I evaluatethe risk management effectiveness using different hedging horizons. The preliminary results show that hedging with more deferred contracts can substantially reduce dairy price and margin risk. Developed and presented apaper that investigates the effect of the crop price changes and the impact of the Conservation Reserve Program (CRP) on the land allocation decisions in the traditionally wheat, corn, and soybean producing states of the United States (U.S.) encompassing Iowa, Illinois, Indiana, Kentucky, Ohio, Michigan, Wisconsin, Minnesota, North Dakota, South Dakota, Nebraska, Kansas, Oklahoma, and Texas. Price shocks in one crop affect not only its own supply response but those of the other crops, which compete for the same arable land.In summary, the results indicate that the expansion of corn production is happening at the expense of other crops such as soybeans and wheat while wheat competes for acreage with hay.

Publications

  • Type: Conference Papers and Presentations Status: Accepted Year Published: 2016 Citation: Two Journal Articles: Vorotnikova, E., and S. Devadoss. 2016 Competitive Advantages of the West Coast Dairy Exports. International Food and Agribusiness Management Review 19(B), 37-56. Alvarez S., S. Asci and E. Vorotnikova. 2016 Valuing the Potential Benefits of Water Quality Improvements in Watersheds Affected by Non-Point Source Pollution Water 8(4), 112; doi:10.3390/w8040112 Six Conference Papers and Presentations Vorotnikova, E., S. Asci. 2016. The impact of CRP and crop prices on land allocation: a differential model panel data application Agricultural and Applied Economics Association (AAEA) Annual Meeting, July 31-August 2, Boston, MA. Bozic, M., E. Vorotnikova, C. Cook. 2016. Futures term structure based unit root test for agribusiness crush margins and implications for optimal hedging strategies Agricultural and Applied Economics Association (AAEA) Annual Meeting, July 31-August 2, Boston, MA. Vorotnikova, E. 2016. Valuation of 2014 Farm Bill insurance products, MPP and LGM  Options Approach Economics and Management of Risk in Agriculture and Natural Resources, SCC-76 Annual Meeting March 17-20, Pensacola, FL Bozic, M., E. Vorotnikova, and R. Johansson (2016) The Theory of Optimal Hedging Horizons and Application to Dairy Risk Management in the United States NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management, April 20-21, St Louis, MO. Grieb, T., N. Hoang, and E. Vorotnikova (2016), Measuring the Effects of Price Shocks on Cash-Futures Basis using a Bayesian VAR Model Academy of Economics and Finance Conference, February 10-13, Pensacola, FL. Vorotnikova, E. (2016), Hedging and Optimal Storage Capacity Allocation in Grain Merchandizing Southern Agricultural Economics Association (SAEA) Conference Feb 2-5, San Antonio, TX.


Progress 07/01/15 to 09/30/15

Outputs
Target Audience:A conference paper was presented onValuation of 2014 Farm Bill dairy insurance products (MPP or LGM)and their feasible for dairy producers in the Pacific Northwest at theAgricultural and Applied Economics Association (AAEA) Annual Meetingin July.The target auidience was succesfully outreached at the conference where the audience includesthe academics in this field, governmental entities and the representative of the relevant associations. In addition, this conference paperand the future collaboration possibilities are shared and discussed with Idaho Dairyman Association representatives in early September. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided?The study was presented at the AAEA conference in July 2015: Vorotnikova, E. (2015),"Valuation of 2014 Farm Bill insurance products - which program is more feasible for dairy producers in the Pacific Northwest: MPP or LGM?" Agricultural and Applied Economics Association (AAEA) Annual MeetingJuly 26-28, San Francisco, CA How have the results been disseminated to communities of interest?The conference paper was shared with Idaho Dairyman Association for dissemination purpose and the possibility for future collaboration with the Association and its members. The results were also shared with representatives from Dairy Markets And Policy. What do you plan to do during the next reporting period to accomplish the goals?During the next period, the studies onLand allocation and the option price model,Investment decision and asset allocation,Pension funds,Futures and volatility in spot market prices and the impact of new trade policies on dairy will be developed. The conference paper onInsurance policy choice as a risk management strategy will be submitted for a journal publication.

Impacts
What was accomplished under these goals? In this period,I evaluated twoinsurance policiesavailable to dairyproducers through Farm Bill 2014 in order torisk manage succesfullythe dairy farms of various sizes.A manuscript wasprepared for publication on this topic.

Publications

  • Type: Conference Papers and Presentations Status: Published Year Published: 2015 Citation: Vorotnikova, E. (2015), Valuation of 2014 Farm Bill insurance products  which program is more feasible for dairy producers in the Pacific Northwest: MPP or LGM? Agricultural and Applied Economics Association (AAEA) Annual Meeting July 26-28, San Francisco, CA