According to the analyst, soybeans are mainly produced in the Northeast and North China regions. From 2015 to 2019, the sown area of soybeans in China increased from 6.83 million hectares to 9.34 million hectares, and the production of soybeans rose from 12.37 million tons in 2015 to 18.10 million tons in 2019. Import volume went up from 81.69 million tons in 2015 to 88.51 million tons in 2019. Import soybeans always have a competitive advantage, since the price of imported soybeans is always lower than that of domestic soybeans.
According to the analyst, imported soybeans in China include soybeans for cultivation, black soybeans, green soybeans, yellow soybeans, and other soybeans not for cultivation, most of them came from Brazil and the USA from 2017 to April 2020.
According to the analyst, as for major import sources of soybeans in the future, it is expected to be Brazil, the USA and Argentina. The demand for soybeans is estimated to be relatively low in 2020 because of COVID-19, and then reach 124 million tons by 2024. The gap between supply and demand could be around 94 million tons in 2024, worth the value that exceeds USD 40 million.
Readers may obtain the following information from this report:
- Economic Environment of the Soybean Industry in China
- Policies in Imported Soybeans in China
- Analysis of Supply and Demand of Soybeans in China
- Analysis of Imported Soybeans in China
- Analysis of Major Sources of Soybeans in China
- Price Trends of Imported Soybeans in China
- Driving Forces and Opportunities of Imported Soybeans in China
- Forecasts on Imported Soybeans in China 2020-2024
Table of Contents
Methodology
Background research defines the range of products and industries, which proposes the key points of the research. Proper classification will help clients understand the industry and products in the report.
Secondhand material research is a necessary way to push the project into fast progress. The analyst always chooses the data source carefully. Most secondhand data they quote is sourced from an authority in a specific industry or public data source from governments, industrial associations, etc. For some new or niche fields, they also "double-check" data sources and logics before they show them to clients.
Primary research is the key to solve questions, which largely influence the research outputs. The analyst may use methods like mathematics, logical reasoning, scenario thinking, to confirm key data and make the data credible.
The data model is an important analysis method. Calculating through data models with different factors weights can guarantee the outputs objective.
The analyst optimizes the following methods and steps in executing research projects and also forms many special information gathering and processing methods.
1. Analyze the life cycle of the industry to understand the development phase and space.
2. Grasp the key indexes evaluating the market to position clients in the market and formulate development plans
3. Economic, political, social and cultural factors
4. Competitors like a mirror that reflects the overall market and also market differences.
5. Inside and outside the industry, upstream and downstream of the industry chain, show inner competitions
6. Proper estimation of the future is good guidance for strategic planning.
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