As a Statistician for Decision Innovation Solutions, Jing Tang is responsible for analyzing agricultural data to help clients to make better strategic business decisions, and to assist co-workers improve model prediction and model estimation preference. Jing works with clients and coworkers on data cleaning, modeling estimation, optimization, prediction, machine learning, and risk analysis, as well as providing reliable analysis results. So far, she has been involved in several projects, such as using the prices of soybean oil, corn, and heating oil to predict yellow grease price, optimizing different factors’ conditions to increase yields coming from byproducts. Jing comes from Beijing, the capital of China. She earned a Bachelor degree in Food Science and Technology at the Beijing Business and Technology University (BTBU), and obtained a M.S. degree in Food Science at the University of Missouri (MU), Columbia. Currently, Jing is enrolled as a Statistics student at MU. Jing has the ability to combine both science and statistics knowledge together and to assist clients and colleagues in analyzing data, especially in the agricultural industry.
The RCO model has been and continues to be utilized in many different situations to help our clients have a better understanding of feed rations for major animal species, which has been demonstrated by successfully using it with several satisfied clients.
We've conducted this series report over three years. It started with an abnormal weather events (serious flooding in the main corn planted states) in 2019, in which we discussed how the delays in corn planting process influenced the ethanol gross production margin (GPM) values.
The gross production margin in the ethanol industry commonly represents the difference between the price of corn and the combined sales value of ethanol, and its co-products: distiller's dried grains (DDGs) and distillers corn oil (DCO). The GPM shows the calculated relationship between the value of ethanol and ethanol co-products and the cost of corn in ethanol production. In this article, we will focus on the behavior of GPM during the second half of 2020 and 2021 thus far.
In the past three months, we have been through a unique and difficult situation due to the COVID-19 virus. Because of the pandemic, the demand for gasoline dropped dramatically, which reached the lowest demand within a couple of decades. This led to the demand for ethanol decreasing significantly. We analyzed and updated this series article that was previously done in the summer of 2019, which talked about how the Iowa ethanol gross production margin (GPM) behaved.
As a general rule, pets are considered “family” in the United States. More than 100 million U.S. families have a pet at home. For the one-year time period, June 2018 to May 2019, pet owners spent more than $30 billion on 9.8 million tons of pet food products.
The U.S. Energy Information Administration (EIA) published its Monthly Biodiesel Production Report on February 28th, 2020. In this article, we will conduct a descriptive analysis of pure biodiesel (B100) production and its feedstocks usage.
We had unnormal weather events throughout 2019 April and May in the Midwest and Iowa that led to very significant delays in the corn planting process, which was one of the main reasons that the July corn future prices changed abnormally.
As in the last article we talked about the common modes of transportation for agricultural commodities in the State of Missouri are truck, rail, ship, and multiple mode, with descending order, which multiple mode is defined as multiple modes and by parcel delivery services, U.S. Postal Service, or couriers by Freight Analysis Framework.
Many midwestern states, like Iowa, Missouri, Illinois, etc., are reliant upon infrastructure to move agricultural and agricultural related commodities to markets. There are thousands of miles of state highways and paved county highways that are integral to the farm and grain handling facilities.
“Planting progress has been slowed by relatively frequent and relatively heavy rains throughout April and May.”, said DIS chief economist, David Miller, on May 24, 2019. (Blog is originally posted here) These abnormal weather events affected a number of rivers with flooding in the Midwest area, which led to delays in the corn planting process.
The US Energy Information Administration (EIA) published Monthly Biodiesel Production Report on June 28th. In this article, we will conduct a descriptive analysis of pure biodiesel (B100) production and its feedstocks usage back to 2014. EIA reported 152 million gallons pure biodiesel was produced in this April, which was 11 million gallons more compared with March 2019, and 9 million gallons more compared with April 2018.
Within the past twenty years, the flow of information has exponentially increased, largely due to advancements in technology and adoption of social media. The speed at which issues are first manifested to when they are noticed on a large scale has increased.
From our previous article, we compared the attitudes from the different perspectives of American and Chinese regard to the trade war (trade talks) since March of 2018. After the last round negotiation on February 15th, 2019, President Trump has delayed tariffs scheduled for March 1st on Chinese goods because they are “moving along nicely with Trade discussions”, said in his tweet.
The trade war (trade talks) between the US and China started in March of 2018. Intensity of the trade talks increased until the G-20 summit in Argentina on December 1st, 2018. After the two presidents met, they announced a moratorium in regard to trade issues like tariffs on certain products, intellectual property, market access, etc. and set a three-month negotiation period.
Our last article has emphasized that a good understanding of corn and soybean yields are important for the State of Iowa. So, we conducted a series of studies to analyze how to utilize crop condition ratings for forecasting Iowa corn and soybean yield. From the last article we know using the Final Crop Good and Excellent Condition Ratings to forecast Corn and Soybean Yield for the State of Iowa is a good approach.
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