Measuring the Stochastic Monetary Benefits of Multiple Inlet Irrigation in Arkansas Rice Production

Irrigation fuel costs represent a significant portion of rice production expenses. Multiple inlet (MI) irrigation represents a water saving alternative to conventional flood irrigation. This study uses simulation to calculate the range of monetary benefits to MI in rice production. Water savings from MI relative to conventional flood irrigation along with rice yields, rice prices, and prices for key production inputs (diesel and fertilizer) are simulated, and stochastic rice net returns above variable and fixed expenses are calculated for different pump lifts with and without MI. Monetary benefits to MI are measured as the difference in net returns with and without MI. The results indicate MI monetary benefits depend greatly on pump lift and the presence or absence of a yield increase. Monetary benefits to MI increase as pump lifts become larger, and relatively small increases in yield resulting from MI irrigation can greatly enhance its payoff.cost, cumulative distribution functions, multiple inlet irrigation, net return, rice, stochastic, Farm Management,

An Economic Risk Analysis of No-till Management for the Rice-Soybean Rotation System used in Arkansas

Arkansas is the top domestic rice producer, representing nearly half of total U.S. rice production. Sediment is one of the major pollutants in rice producing areas of Arkansas. In order to mitigate this problem no-tillage management is often recommended. No-tillage is not well understood by farmers who believe that no-till is less profitable due to lower yields offsetting cost savings. This study evaluates the profitability and variability of no-till in the typical rice-soybean rotation used in Arkansas rice production. Crop yields, prices and prices for key production inputs (fuel and fertilizer) are simulated for the rotation, and net return distributions for rice, soybean and the two-year rotation are evaluated for no-till and conventional till using stochastic efficiency with respect to a function (SERF) analysis. The results indicate that both risk neutral and risk-averse rice producers would prefer no-till over conventional till management in the two year rice-soybean rotation, and that no-till soybeans contribute greatly to the overall profitability of the rotation.simulation, rice-soybean, no tillage-profitability, risk analysis, Environmental Economics and Policy, Farm Management, Resource /Energy Economics and Policy,

Measuring the Stochastic Monetary Benefits of Multiple Inlet Irrigation in Arkansas Rice Production

Irrigation fuel costs represent a significant portion of rice production expenses. Multiple inlet (MI) irrigation represents a water saving alternative to conventional flood irrigation. This study uses simulation to calculate the range of monetary benefits to MI in rice production. Water savings from MI relative to conventional flood irrigation along with rice yields, rice prices, and prices for key production inputs (diesel and fertilizer) are simulated, and stochastic rice net returns above variable and fixed expenses are calculated for different pump lifts with and without MI. Monetary benefits to MI are measured as the difference in net returns with and without MI. The results indicate MI monetary benefits depend greatly on pump lift and the presence or absence of a yield increase. Monetary benefits to MI increase as pump lifts become larger, and relatively small increases in yield resulting from MI irrigation can greatly enhance its payoff

An Economic Risk Analysis of No-till Management for the Rice-Soybean Rotation System used in Arkansas

Arkansas is the top domestic rice producer, representing nearly half of total U.S. rice production. Sediment is one of the major pollutants in rice producing areas of Arkansas. In order to mitigate this problem no-tillage management is often recommended. No-tillage is not well understood by farmers who believe that no-till is less profitable due to lower yields offsetting cost savings. This study evaluates the profitability and variability of no-till in the typical rice-soybean rotation used in Arkansas rice production. Crop yields, prices and prices for key production inputs (fuel and fertilizer) are simulated for the rotation, and net return distributions for rice, soybean and the two-year rotation are evaluated for no-till and conventional till using stochastic efficiency with respect to a function (SERF) analysis. The results indicate that both risk neutral and risk-averse rice producers would prefer no-till over conventional till management in the two year rice-soybean rotation, and that no-till soybeans contribute greatly to the overall profitability of the rotation

Прирачник за наставници - насоки за примена на учебникот по математика за второ одделение деветгодишно основно образование

Прирачникот по математика е наменет за наставниците од одделенска настава кои во својата наставна практика го користат учебникот по математика и работните листови-математичка работилница за второ одделение од деветгодишното основно образование од авторите Т.А.Пачемска и други.Дневните планирања се работени според најновите насоки и барања од БРО

Effects of Field Characteristics and Management on Technical, Allocative, and Economic Efficiency of Rice Production in Arkansas

Arkansas is the top domestic rice producer, representing nearly half of total U.S. rice production. Rice is a high-cost crop relative to other field crops in Arkansas, and production costs for rice have increased significantly since the mid 2000s due to rapidly increasing fuel and fertilizer prices. More efficient rice production management is pertinent to maintaining long term profitability. This study assesses the important factors leading to higher technical, allocative, and economic (cost) efficiency in rice production using a Tobit model. The data is obtained from the 2005-2011 Rice Research and Verification Program (RRVP). Using a Clearfield hybrid seed was found to have positive statistically significant effect, as well as relatively large marginal effect on all three efficiencies

Measuring Technical, Allocative, and Economic Efficiency of Rice Production in Arkansas using Data Envelopment Analysis

Large expenses associated with rice production and dependence on energy related inputs like fuel and fertilizer in particular compel rice producers to use management practices that are input efficient and result in least cost. This study uses data envelopment analysis (DEA) to calculate technical efficiency (TE), allocative efficiency (AE), and economic efficiency (EE) for rice production in Arkansas at the field level using data from 137 fields enrolled in the University of Arkansas, Rice Research Verification Program (RRVP) from 2005 to 2011. Efficiency scores for RRVP fields are compared with those obtained from developing rice producing countries. Economic efficiency scores are also compared across RRVP fields using alternative management practices. The results indicate the majority of RRVP fields have high TE scores with a mean TE score of 0.899. Over half the fields in the RRVP achieve full technical efficiency (TE scores equal to 1). Mean AE and EE scores for RRVP fields (AE = 0.696; EE = 0.625) fall within the range of mean AE and EE scores reported for developing countries producing rice. Alternative management practices appear to have an impact EE scores. Fields planted to hybrid, Clearfield-hybrid combinations, and medium grain varieties along with fields with a zero-grade and fields using multiple inlet irrigation produced higher EE scores relative to other RRVP fields

Measurement of Technical, Allocative, Economic, and Scale Efficiency of Rice Production in Arkansas Using Data Envelopment Analysis

Data envelopment analysis is used to calculate technical, allocative, economic, and scale efficiencies for fields enrolled in the University of Arkansas Rice Research Verification Program. The results reveal most fields have high technical and scale efficiencies, implying inputs are used in minimum levels necessary to achieve given output levels and fields are close to optimal in size. However, most fields exhibit allocative and economic inefficiencies and do not use inputs in the right combinations necessary to achieve cost minimization. Tobit analysis indicated allocative and economic efficiencies could be improved with better variety selection and better irrigation management