Ram N. Acharya

The primary objective of this study was to investigate whether the cost of processing cotton using high‐speed roller gins is comparable to saw gins. The results from a “true” random effect model estimated using proprietary data voluntarily shared by cotton gins operating in Arizona and California showed that the average cost inefficiency for the sample gins analyzed in this study was 13.5%. Moreover, the cost of ginning using conventional roller gins and high‐speed roller gins was 24.42% and 14.18% higher than saw gins, respectively, and roller ginning costs were 10% lower for high‐speed roller gins than conventional roller gins. [EconLit Citations: D24; O14; Q16].

Improper management of organic waste can lead to unnecessary carbon dioxide and methane emissions, and groundwater contamination. In this study, organic waste materials from two of New Mexico’s (U.S.A.) top agricultural industries, pecan (Carya illinoinensis) and dairy cattle dairy manure, were used to evaluate the feasibility of an on-farm compost program. Pecan woody residues (P) served as the primary carbon source; regional cattle dairy manure (M) served as the primary nitrogen source. Additional (A) inputs from a compost consulting company (PM/A) and green waste from community landscaping and on-farm harvested legumes (PMG/A) were employed, both of which required additional labor and material inputs. Finished composts were analyzed for selected macro, secondary and micronutrients, pH, sodium adsorption ratio (SAR), electrical conductivity (EC), total carbon (TC) and organic matter (OM) content, bulk density (b_d), and microbial biomass. The PM alone treatment showed similar or significantly higher amounts of macro, secondary and micronutrients compared to the PM/A and PMG/A treatments. Total microbial biomass and total salinity were highest for the PM treatment. The total cost of the PM treatment was around 1/6 of the cost of the lowest-cost addition compost production scheme, indicating that simpler, lower-input production methods may be more advantageous for on-farm compost program development.

The primary objective of this study is to examine the role of push and pull factors in determining consumer trip satisfaction and loyalty to agricultural fairs. We use a modified version of Yoon and Uysal’s causal model, initially proposed to evaluate consumers’ leisure behaviors. In particular, we utilize an exploratory factor analysis approach to identify latent constructs and a structural equation model to assess the impact of consumers’ internal desires for leisure activities (push motivation) and fair attributes (pull motivation) on trip satisfaction and loyalty. Consistent with the existing literature, the structural equation model results show that push and pull motivations play a crucial role in determining visitor satisfaction from attending an agricultural fair. Moreover, both push and pull motivations significantly affect visitor’s loyalty directly and indirectly through their impact on trip satisfaction.

Purpose: This paper aims to investigate how climatic, market and policy factors interact to determine food production in Togo. Specifically, we estimate acreage and yield response to market prices, weather and policy changes for maize and rice.Design/methodology/approach: We use panel data estimators in a Seemingly Unrelated Regressions Equation (SURE) model with region-level data from the Food and Agriculture Organization statistics department and the National Oceanic and Atmospheric Administration (NOAA) of the US Department of commerce.Findings: We found lower fertilizer price and higher grain price effects on maize acreage and yield. In addition, we found a positive effect of expected rice price on both its acreage and yield. As expected, rainfall during planting months has a significant impact on both maize (April) and paddy (May) acreage allocations. Similarly, total rainfall during the growing season has a positive impact on both maize and paddy yields. Moreover, recent agricultural policy initiative designed to boost domestic food production has significantly increased acreage and yield for maize, and yield for paddy, especially the strategy for agricultural growth.Research limitations/implications: The dataset includes region-level observations from 1991 to 2012 which limits the observation span. However, we had enough variability in key variables to determine the estimated coefficients.Practical implications: Although the dataset is limited in time (1991–2012) and uses national-level output prices, this investigation reveals that cropland allocation to maize and rice is sensitive to fertilizer and grain prices, weather expectations and policy interventions. These findings provide evidence for sustainable food production and productivity enhancement in Togo.Social implications: Understanding drivers of cropland allocation and cereal yield contribute to better food security and poverty reduction in developing countries, especially Togo.Originality/value: Prior to this study, little was known on the effect of price, climate and policy on cropland allocation in Togo. This investigation contributes significantly to filling this knowledge gap and provides insights for effective interventions.

The primary objective of this study is to evaluate whether renewable energy initiatives recently developed and implemented in Latin American and Caribbean countries are consistent with their national resource endowments, policy goals, and the general postulates of economic theory. Most classical and neoclassical theories suggest that international trade enhances economic efficiency and welfare of both parties involved in the exchange when they focus on producing and distributing products and services in which they have a comparative advantage. To achieve this goal, we analyze ethanol policy drivers using panel data from four major economies—Argentina, Brazil, Colombia, and Mexico. Since there is no universally accepted measure of comparative advantage, three separate models with different indicators—relative feedstock price, comparative export performance, and revealed comparative advantage—along with control variables, including the availability of production resources such as land and farm labor, are estimated. As expected, results show that the comparative advantage in feedstock production was one of the crucial factors in determining biofuel policy development and implementation in the four countries.

Cover cropping has been promoted for improving soil health and environmental quality in the southern High Plains (SHP) region of the United States. The SHP is one of the more productive areas of the country and covers a large landmass, including parts of Oklahoma, New Mexico, and Texas. This region faces challenges in sustainable crop production due to declining water levels in the Ogallala Aquifer, the primary source of water for irrigated crop production. This study examines the impact of integrating cover crops in the winter wheat (Triticum aestivum L)-based rotations on farm profitability and risk in the SHP. The study combines experimental yield data with other secondary information, including market prices, to conduct simulation analysis and evaluate the risk involved in introducing cover crops in a wheat-fallow cropping system. The results show that, due to the additional monetary costs involved, none of the cover crop options is economically viable. However, when secondary benefits (erosion control and green nitrogen) or government subsidies are included in the analysis, one of the cover crop options (peas) dominates the fallow alternative. Moreover, when the secondary benefits and a government subsidy are combined, two cover crop alternatives (peas and oats) emerge as more profitable options than leaving land fallow. These results highlight the importance of agricultural research and extension programs that are making a concerted effort to develop more productive farming techniques and increase public awareness about the long-term benefits of adopting soil health management systems such as cover cropping in the SHP region.

This study examines the impact of changing climate and product market conditions on crop yield and land allocations in Nepal. Zellner’s seemingly unrelated regression approach is used to estimate the acreage and yield functions. The potential impact of price endogeneity on estimated parameters is corrected using an instrumental variable method. The results show that farm input prices and output prices play a crucial role in determining acreage allocation. While the variation in daily temperature during planting season affects acreage allocations for all crops except wheat, the total precipitation is critical for upland crops, particularly for millet. Literacy rate and the number of rainy days significantly affect yield for most crops. Moreover, the rising winter warming is enhancing wheat and potato yields. The results also show that a ten percent decrease in the number of rainy days during the growing season is likely to reduce yields for rice, maize, and wheat by 4.8, 1.7, and 0.8 percent, respectively.

A finite mixture model is used to estimate farm–retail price transmission in the US fresh strawberry market. Results suggest two distinct pricing regimes associated with off- and peak-harvesting seasons. The market power parameter is significant in the peak-harvest regime, but not in the off-peak regime. Moreover, price changes are transmitted completely throughout the marketing channel in the off-peak regime when the market power parameter is zero, but not in the peak-harvest regime when the market power parameter is positive. This suggests that produce buyers are more apt to exercise market power when farm supplies are abundant than when they are scarce, and that the exercise of such power causes the farm–retail price linkage to become asymmetric.