scholarly journals The Response of Corn Acreage to Ethanol Plant Siting

2014 ◽  
Vol 46 (2) ◽  
pp. 157-171 ◽  
Author(s):  
Yehushua Shay Fatal ◽  
Walter N. Thurman
Keyword(s):  
Ethanol Production ◽  
Production Capacity ◽  
County Level ◽  
Corn Production ◽  
Ethanol Plant ◽  
Annual Changes ◽  
Positive Effect

U.S. ethanol production capacity increased more than threefold between 2002 and 2008. We study the effect of this growth on corn acreage. Connecting annual changes in county-level corn acreage to changes in ethanol plant capacities, we find a positive effect on planted corn. The building of a typical plant is estimated to increase corn in the county by over 500 acres and to increase acreage in surrounding counties up to almost 300 miles away. All ethanol plants are estimated to increase corn production by less than their annual requirements.

US agricultural support programs and ethanol policies effects on farmland values and rental rates

2015 ◽  
Vol 75 (2) ◽  
pp. 169-193 ◽  
Author(s):  
Jaclyn Kropp ◽  
Janet G. Peckham
Keyword(s):  
Least Squares ◽  
Ethanol Production ◽  
Production Capacity ◽  
The United States ◽  
Future Research ◽  
County Level ◽  
Corn Ethanol ◽  
Content Type ◽  
Agricultural Support ◽  
Farmland Values

Purpose – In recent years, prices for prime farmland have increased substantially, begging the question is the dramatic increase the result of a speculative bubble or consistent with market fundamentals with increases driven by increased global demand, low interest rates, and recent changes to US agricultural and energy policies. The purpose of this paper is to investigate the impacts of recent agricultural support policies and ethanol policies on farmland values and rental rates. Design/methodology/approach – Farm-level Agricultural Resource Management Survey data collected by the United States Department of Agriculture (USDA) between 1998 and 2008 as well as county-level data collected by the USDA, US Census Bureau, and Bureau of Economic Analysis are used to determine the impacts of recent agricultural support policies and ethanol policies on farmland values and rental rates, while controlling for parcel characteristics and urban pressure. Specifically, weighted ordinary least squares and two-stage least squares are used to investigate the impact of various governmental agricultural support policies, corn ethanol facilities location, and local corn ethanol production capacity on farmland values and rental rates. Findings – The results indicate that government payments, urban pressure, and the proximity of the parcel to an ethanol facility have a positive impact on both farmland values and rental rates. More specifically, parcels located in the same county as at least one corn ethanol facility are more valuable and command higher rental rates. In addition, county-level ethanol production capacity is positively associated with farmland values and rental rates. An inverse relationship between distance of the parcels from an ethanol facility and farmland values is also found; a similar result is found for rental rates. Research limitations/implications – The findings suggest that agricultural support payments and ethanol policies are capitalized into farmland values. These findings have important implications for the formulation of future farm policy. A limitation of the analyses is that farmland values are estimated by landowners; future research could utilize farmland transaction data to overcome potential biases generated by using landowner estimates. In addition, while our study period covers 11 years, future research could expand the time period further to analyze the effect of more recent agricultural and ethanol policies. Originality/value – This paper extends prior research pertaining to factors influencing farmland values and rental rates by also examining the proximity of the parcel to an operating ethanol facility using a unique data set.

scholarly journals Impact of Ethanol Plant Location on Corn Revenues for U.S. Farmers

2019 ◽  
Vol 11 (22) ◽  
pp. 6512 ◽  
Author(s):  
Ani L. Katchova ◽  
Ana Claudia Sant’Anna
Keyword(s):  
Resource Management ◽  
Competitive Advantage ◽  
Ethanol Production ◽  
Plant Location ◽  
Spatial Difference ◽  
Difference In Difference ◽  
Corn Production ◽  
The Past ◽  
Ethanol Plant ◽  
The Impact

Ethanol production has rapidly expanded over the past few years. The opening of an ethanol plant can increase local demand for corn, pressuring increases in local corn basis. But how does this affect corn contract prices and revenues? At the farm level, the impact of an ethanol plant on local corn contract revenues is still unknown. Data from the USDA Agricultural Resource Management Survey suggests that corn contract revenues in counties with ethanol plants are higher than corn contract revenues in counties without ethanol plants at similar prices. We estimate the impact of ethanol plants on local corn contract revenues by running non-spatial and spatial difference-in-difference models. A statistically significant effect of ethanol plant location on corn contract revenues within the same county was not found, but rather a statistically significant effect of ethanol plants on corn contract revenues for farmers located in adjacent counties. Local competitive advantage, not the presence of an ethanol plant, may be the reason for observed higher revenues in counties with an ethanol plant. Therefore, policymakers should focus their resources in promoting greater efficiency in corn production to boost farmers’ revenues.

scholarly journals Impacts of Expanded Ethanol Production on Southern Agriculture

2008 ◽  
Vol 40 (2) ◽  
pp. 581-592 ◽  
Author(s):  
Dwi Susanto ◽  
C. Parr Rosson ◽  
Darren Hudson
Keyword(s):  
Regression Analysis ◽  
Ethanol Production ◽  
Domestic Demand ◽  
Statistical Evidence ◽  
The South ◽  
Corn Production ◽  
Relative Prices ◽  
Field Crops ◽  
Corn Prices

This study analyzes the potential impacts of expanded ethanol production on southern agriculture. Results of regression analysis suggest that acreage planted for field crops (corn, cotton, soybeans, and wheat) is inelastic with respect to relative prices. The results provide statistical evidence of potential significant acreage shifts favoring corn over cotton, soybeans, and wheat. Simulations indicate that higher corn prices will increase corn acreage, but the South continues to be a deficit corn region. U.S. corn production is capable of supplying domestic demand for ethanol, feed for livestock and poultry, and other uses, while maintaining exports at more than 2 billion bushels annually.

Construction of Yeast Strain Capable of Co-Fermenting Pentose and Hexose by Protoplast Fusion

2013 ◽  
Vol 781-784 ◽  
pp. 847-851
Author(s):  
Jin Ling Guo ◽  
Da Chun Gong ◽  
Zhi Jun Li ◽  
Zhou Zheng
Keyword(s):  
Ethanol Production ◽  
Protoplast Fusion ◽  
Genetic Stability ◽  
Parental Strain ◽  
Conversion Rate ◽  
Ethanol Concentration ◽  
Ethanol Yield ◽  
Production Capacity ◽  
Pachysolen Tannophilus ◽  
Alcohol Conversion

Saccharomyces cerevisiae R40 and Pachysolen tannophilus P01 were used as the parental strain to construct an engineering strain capable of co-fermenting pentose and hexose by protoplast fusion. A fusant F202 was obtained through inactivating parental protoplasts, screening with YPX solid medium and high glucose liquid medium, ethanol production capacity detecting and identification with PCR-SSR technique. Subsequently, the fermentation performance and genetic stability of F202 was studied. The maximum ethanol production capacity from glucose was 1.47 ml/100 ml with a sugar and alcohol conversion rate 47% which was 11% higher than the parental strain P01. By fermenting xylose the ethanol concentration could achieve to 0.58 ml/100 ml with a sugar and alcohol conversion rate 12%. An ethanol concentration of 1.2 ml/100 ml was obtained by fermenting the mixture of xylose and glucose (mass ratio 1:2). Moreover, no decrease in ethanol yield after 8 generations propagation suggested fustant 202 possessed good genetic stability.

scholarly journals Aguas residuales de industria láctea como alternativa sostenible para aumentar la productividad del maíz en Perú

2021 ◽  
Vol 23 (1) ◽  
pp. 26-36
Author(s):  
Miguel Angel Del Carpio Salas ◽  
◽  
Midwar Ancco ◽  
Antonio Erick Linares Flores Castro ◽  
Rodolfo Ancco-Loza ◽  
...  
Keyword(s):  
Anaerobic Fermentation ◽  
The Other ◽  
Control Treatment ◽  
Organic Load ◽  
Human Beings ◽  
Average Flow Rate ◽  
Marginal Return ◽  
Corn Production ◽  
The Third ◽  
Positive Effect

Corn (Zea Mays) is the most cultivated cereal in the world and this is a staple food for human beings that is why in recent years they are looking for alternatives to improve their production. On the other hand, whey is a residual effluent from the dairy industry generally eliminated in sewage, however, due to its high organic load it can be used to produce different biofertilizers. The objective of this study was to evaluate the effect on the production of the corn crop when applying a biofertilizer obtained by anaerobic fermentation of whey and bovine manure. The study was conducted between October 2018 and February 2019, in the experimental area of the Calaspam association, located in Majes, Arequipa-Peru. A complete randomized block experimental design was used in a 2×4 factorial scheme composed by three biofertilizer treatments (6.9 and 12 LBF/water) and a control treatment with three replicates applied with an average flow rate of 1.5 Lha-1. Morphological, post-harvest and economic indicators were determined, as well as the chlorophyll content. Results indicate that biofertilizer treatments improved the indicators studied. The third treatment shows higher values in all the indicators compared to the other treatments, being the values of yield (79,29±7,33 103 kgha-1) and marginal return rate (85,73%) the most outstanding. It is concluded that the biofertilizer obtained from bovine manure and whey has a positive effect on corn production and its application is economically viable.

scholarly journals PENGARUH PRODUKSI DAN PRODUKTIVITAS PETANI TERHADAP IMPOR JAGUNG DI INDONESIA TAHUN 1993-2018

2021 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Zahara Zahara ◽  
Devi Andriyani ◽  
Reza Juanda
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Secondary Data ◽  
Research Model ◽  
Corn Production ◽  
Maize Production ◽  
Negative Effect ◽  
Rice Farmer ◽  
Positive Effect

This research aims to analyze the effect of corn production and productivity of maize farmers on imports in Indonesia in 1993-2018. The data used in this research are secondary data for the 1993-2018 period. This research model uses multiple linear regression. The results of the research that corn production partially has a negative effect on corn imports in Indonesia. Rice farmer productivity has a positive effect on corn imports in Indonesia. Simultaneously, maize production and productivity of maize farmers have an effect on maize imports in Indonesia

Associations between county-level surgeon density and colorectal cancer (CRC) mortality.

2011 ◽  
Vol 29 (4_suppl) ◽  
pp. 511-511
Author(s):  
J. S. Albarrak ◽  
M. Y. Ho ◽  
W. Y. Cheung
Keyword(s):  
Level Density ◽  
Population Based ◽  
General Surgeon ◽  
County Level ◽  
Surgical Workforce ◽  
Improved Outcomes ◽  
Level Data ◽  
Colorectal Surgeon ◽  
Annual Changes ◽  
Us Census

511 Background: Strong associations between surgeon procedure volumes and patient outcomes have been observed for many types of cancers. Whether surgeon density in a population has a similar impact on cancer outcomes is unclear. Our aims were to 1) explore the effect of US county-level surgeon density on CRC mortality and on annual changes in death, 2) compare the relative importance of colorectal surgeon (CS) versus general surgeon (GS) density on these CRC outcomes, and 3) identify other county characteristics associated with reduced mortality. Methods: Using county-level data from the Area Resource File, US Census and National Cancer Institute, we developed multivariate regression models to determine the effect of a) CS and b) GS on overall CRC mortality and changes in death between 2002 and 2006, while controlling for CRC incidence, county demographics and other socioeconomic factors. Results: A total of 1,187 US counties were included: mean CRC incidence and death rates were 64.9 and 19.9, respectively; 57% were metropolitan and 43% were rural counties; mean CS and GS densities were 1.23 and 1.94 per 100,000 people, respectively. When compared to counties with no CS and no GS, those with at least of one of these surgeons had a statistically significant decrease in CRC-specific mortality (beta coefficients were -0.035 and -0.051 for CS and GS, respectively; p=0.014). Increasing the county-level density of surgeons improved outcomes, but increasing it beyond 8 CS or 12 GS per 100,000 people did not continue to result in significant reductions in CRC mortality. Similar associations between surgeon density and annual changes in CRC-related death were observed. Counties with a high proportion of Medicare enrollees also showed increased CRC mortality. Conclusions: The presence of CS and GS at the county level is each associated with lower mortality from CRC. However, there appears to be a ceiling effect at which point further increases in their density do not produce continued improvements in CRC outcomes. A balanced strategy of allocating healthcare resources and distributing the surgical workforce evenly across all counties will likely offer the most substantial population-based improvements in CRC mortality. No significant financial relationships to disclose.

Ethanol

2020 ◽  
pp. 274-319
Author(s):  
Paul F. Meier
Keyword(s):  
United States ◽  
Ethanol Production ◽  
Corn Stover ◽  
Sugarcane Bagasse ◽  
Organic Material ◽  
The United States ◽  
Transportation Fuel ◽  
Corn Production ◽  
Federal Subsidies ◽  
Corn Grain

This chapter examines the use of biomass to make ethanol, or bioethanol, as a transportation fuel. Biomass is defined as any organic material that can be used as a fuel. However, in the United States and Brazil, the two countries that dominate the bioethanol market, most ethanol is produced from corn grain (United States) or sugarcane (Brazil). There has also been research and some commercial trials using cellulosic material, such as corn stover, switchgrass, and sugarcane bagasse, to produce ethanol, but the approach is hindered by high capital and operating costs. In the United States, more than 35% of the total corn production goes towards ethanol production and ethanol makes up about 10% of the gasoline market. Since 2007, the gallons of ethanol produced has more than doubled, and much of this growth has been driven by federal subsidies and mandates.

Assessing the Impact of Corn-Ethanol Production on Global Corn Price Based on a VAR Model

2012 ◽  
Vol 616-618 ◽  
pp. 1358-1362
Author(s):  
Ling Xiao Wu ◽  
Jun Ping Ji ◽  
Xiao Ming Ma
Keyword(s):  
Ethanol Production ◽  
Rapid Development ◽  
Decomposition Analysis ◽  
Fuel Ethanol ◽  
External Factors ◽  
Var Model ◽  
Corn Ethanol ◽  
Corn Production ◽  
The Us ◽  
The Impact

The fuel ethanol industry has been in rapid development in recent years with the US as a leading force, which consumes large amount of corn. In order to assess the impact of corn-ethanol production on global corn price, a VAR model is used in this paper. By impulse responses analysis and variance decomposition analysis the direct impact of corn-ethanol production on global corn price and its relative importance compared with other external factors are proved. The results show that increasing amount of corn used for US ethanol production leads to rapid increases of global corn price when the corn production is steady. The proportion of corn used for ethanol production among total corn production in the US plays an important role in affecting global corn price among all external factors, and the significance of its impact will enhance in the long run. The fuel ethanol industry should turn to non-grain materials in the future to keep the global corn price steady and guarantee global food security, and it’s necessary for all fuel ethanol producers to take action.

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