Globally, corn is characterised by high production and high export concentrations, yet the world is experiencing an unprecedented, huge change in this regard. Ensuring the global supply of corn, and thereby the energy and food security of nations has become particularly important. To understand the importance of corn production as an influencing mechanism of global food supplies, the present study researched the corn production of typical farms in major corn-producing and importing countries around the world. I selected the corn input and output data of 18 typical farms in 12 countries from 2012 to 2019, used the data envelopment analysis (DEA) model to calculate the technical efficiency of corn production, and built a tobit model to explore the impact of farming methods, input elements, supporting services, and other factors on efficiency. The study established that the average comprehensive technical efficiency of corn production on a typical farm was 0.863, and the average loss was 13.7%. In addition, it concluded that intensive tillage and conservation tillage have high technical efficiency. It also demonstrated that the proportion of mechanical labour and technical efficiency is in a ‘U’-shaped relationship, among others.
Accelerating the construction of a strong livestock industry is of great significance to better guarantee the supply of livestock products and improve the quality, efficiency and competitiveness of the industry. This study constructed an evaluation index system including supply security, scientific and technological support, industrial resilience and international trade to evaluate the strength of China’s livestock industry, and then conducted an in-depth analysis of the issues and challenges of the construction of a livestock powerhouse. The research results showed that China’s livestock industry ranked 5th in the world, such that China was transitioning from being a large-producing livestock country to being a livestock powerhouse, although improvement was still needed to reach the goal. There were significant differences across species. China’s layer industry was a world leader; the pig, sheep and goat, and broiler industries were strong; and the beef cattle and dairy industries were weaker. There are still many challenges, such as the fact that the domestic supply security capacity needs to be strengthened, the level of scientific and technological support needs to be improved, the modern operation system needs to be sound, the industry and supply chain are not highly resilient, the international trade risks are increasing, and the policy support system needs to be improved. It is recommended to improve the institutional mechanism for the construction of the livestock industry, promote a high level of self-reliance and self-improvement in science and technology, build a modern livestock operation system, enhance the resilience and security level of the industry and supply chain, and consolidate and expand international trade and cooperation.
This paper uses panel data from 116 prefecture-level cities in China from 2003 to 2019 to study the impact of price and climate factors on soybean planting area and yield per unit area in China. We adopt the panel instrumental variable method to control the endogeneity of the price in the regression and allow possible spatial autocorrelation errors. According to the research results, price is the primary factor affecting soybean production. For every 1% increase in soybean prices, the soybean planting area increases by 1.650%, and the per unit yield decreases by 0.898%. As for fertilizer prices, for every 1% increase in fertilizer prices, the soybean planting area will decrease by 2.616%, and the yield per unit area will increase by 0.819%. At the same time, climate change will also significantly affect soybean production. For every 1 cm increase in precipitation in April and May, the soybean planting area will increase by 0.233% and decrease by 0.172%, respectively. The precipitation increase in June and July can also significantly promote soybean yield. The results demonstrate that because soybean is a shade-loving crop, the increase of growing degree days will hinder the progress of soybean yield.
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