
- Journal of Resources and Ecology
- Vol. 11, Issue 5, 475 (2020)
Abstract
Keywords
1 Introduction
Given the rapid growth of China’s economy in the last few decades, both the output and consumption of livestock and poultry products have also grown continuously. From 1980 to 2018, the scales of production, trade, and consumption of meat, poultry, eggs, and dairy in the Chinese mainland have expanded rapidly, which is similar to the trends of development and change in many other countries and regions, such as the United States, Japan, South Korea, and Europe. That is, an improvement in the economic level of a country or region inevitably leads directly to a reduction in the consumption of grains and an increase in the consumption of livestock and poultry products (
At present, many scholars have carried out estimations and predictions of the Chinese mainland’s feed grain consumption and its future demand.
2 Methods and data
2.1 Relevant concepts
In this study, the term “livestock and poultry products” refers specifically to pork, poultry meats, and poultry eggs. In the Chinese mainland, industrially produced and processed feed grains are mainly used as feed for large-scale farming of these three types of livestock and poultry, whereas roughage (forage grass) is mainly used to feed cattle and sheep. The use of concentrates (feed grains) is relatively low, thus, it is ignored in the estimations in this study. The conversion coefficient used for measuring and calculating the feed grain consumption refers to the feed-to-meat (eggs) conversion ratio, that is, the amount of feed consumed in feeding livestock and poultry to gain one kilogram, which is related to various factors such as feed type, technology, and production scale. The dressing percentage (net meat percentage) refers to the ratio of the carcass weight after slaughter to the live weight of the livestock and poultry. The feed grains investigated in this study are primarily energy feed grains and protein feed grains. The energy feed mainly includes corn, barley, wheat, rice, wheat bran, and similar products, while the protein feed mainly includes soybean meal, cottonseed meal, rapeseed meal, fish meal, and other similar products.
2.2 Research methods
Two primary methods can be used to measure and calculate feed grains. The first is the demand method based on the output of livestock and poultry products, which mainly uses the output or consumption of livestock and poultry and the feed conversion ratio to obtain the demand for feed grains. The second is the supply method based on the total grain output. This method uses the total grain output and subtracts the ration consumption and industrial and other consumption, and the remainder is used as feed grain consumption. However, the range of the current domestic statistics on grain production has changed significantly, so using statistical data is very problematic. These two methods have their advantages and disadvantages. Previous research indicates that the differences in the results obtained from using different methods, data sources, and processing methods are striking. For more accurate measurement and calculation results, data on the per capita share of livestock and poultry products is combined with data such as the feed-to-meat (eggs) conversion ratio in this study to measure and calculate the demands for energy and protein feeds in the Chinese mainland, and consideration is given to factors such as population. See
Category | Feed-to-meat (eggs) conversion ratio | Dressing percentage (%) | Energy feed ratio (%) | Protein feed ratio (%) |
---|---|---|---|---|
Pork | 2.8 | 70 | 73 | 22 |
Poultry meats | 2.0 | 76 | 73 | 22 |
Poultry eggs | 2.4 | 100 | 73 | 22 |
Table 1.
Parameters relevant to the measurement and calculation of feed grains
The demand for feed grains is estimated using parameters such as the per capita share of livestock and poultry, population, feed-to-meat (eggs) conversion ratio, and dressing percentage. The per capita share of livestock and poultry refers to either the carcass weight of livestock and poultry or the number of eggs. Therefore, these values should be converted into live weights according to the dressing percentage of each livestock and poultry type prior to calculating the demand for feed grains.
${{G}_{fd}}=\underset{i=1}{\overset{3}{\mathop \sum }}\,\frac{{{P}_{cqi}}\times {{G}_{p}}}{{{D}_{pi}}}\times {{\delta }_{i}}$
In the formula, ${{G}_{fd}}$ is the demand for feed grains (kg); Pcqi is the per capita share (kg) of the i-th type of livestock or poultry;$~{{G}_{p}}$ is the total number of the population; ${{D}_{pi}}$ is the dressing percentage (%) of the i-th type of livestock or poultry; and ${{\delta }_{i}}$is the feed-to-meat conversion ratio of the i-th type of livestock or poultry.
2.3 Data sources
The data on the Chinese mainland’s livestock and poultry output and trade volumes and the data on other countries’ per capita apparent consumption of livestock and poultry products are from the Food and Agriculture Organization Corporate Statistical (FAOSTAT) database. The data on the population and per capita share of livestock and poultry products are from the National Bureau of Statistics of China database.
3 Results and analysis
3.1 Analysis of changes in the supply and demand of livestock and poultry products in the Chinese mainland
(1) Analysis of changes in the output of livestock and poultry products in the Chinese mainland Given the rapid growth of the Chinese mainland’s economy, the scale of production of livestock and poultry products continues to expand (
Figure 1.Fig. 1
(2) Analysis of changes in the trade volume of the Chinese mainland’s livestock and poultry products
The import and export trade of livestock and poultry products can further reflect changes in the supply and demand for livestock and poultry products in the Chinese mainland (
Figure 2.Fig. 2
(3) Analysis of the Chinese mainland’s per capita share of livestock and poultry products and the balance between supply and demand
The changing per capita share of livestock and poultry products reflects the consumption of those products (
Figure 3.Fig. 3
Figure 4.Fig. 4
The ratios of the supply and demand volumes of the various livestock and poultry products can reflect changes in the supply and demand balance. The ratio of supply and demand for meat volumes increased slightly, so the pressure of the supply and demand balance displayed an upward trend. However, the ratios of supply and demand for pork, poultry meats, and poultry eggs each changed significantly. The ratios of supply and demand for pork and poultry meats decreased to 0.99 and 0.85 in 2017 from 1 and 0.93, respectively, in 2007. These decreases indicate that the Chinese mainland’s pork and poultry meats were in short supply and that the pressure of the supply and demand balance was increasing. The ratio of supply and demand for poultry eggs increased from 1 in 2007 to 1.18 in 2017, indicating a state of oversupply.
3.2 Comparison of the apparent consumption of livestock and poultry products: An analysis of future growth potential
Apparent consumption can generally reflect the changing trend of consumption growth in a country or region.
Figure 5.Fig. 5
Generally, the dietary patterns of the Chinese mainland and the Taiwan region are quite similar. According to the pattern of change in Taiwan’s meat consumption upgrade, the per capita meat and egg consumption in the Taiwan region tended toward relative stability in the last 20 years, which was closely related to that country’s stage of economic development. After entering a more affluent stage, food consumption entered an optimized state, and per capita meat and egg consumption was relatively stable, with meat consumption at close to 80 kg per person per year.
Based on the above analysis, this study predicts that the Chinese mainland’s per capita meat consumption in the future is expected to be 80 kg when it reaches its peak value in approximately 2030 according to population and economic development.
3.3 Future feed grain demand and prediction
(1) Measurement of current demand for feed grains in the Chinese mainland
In 2017, the total demand for feed grains calculated according to the per capita share of livestock and poultry products, dressing percentage, feed-to-meat (eggs) conversion ratio, and the population in that year was 336.0 million tons (
Category | Per capita share (kg) | Total share | Demand for energy feed grains | Demand for protein feed grains |
---|---|---|---|---|
Pork | 40.1 | 5574.2 | 16276.7 | 4905.3 |
Poultry meats | 15.4 | 2140.7 | 4112.4 | 1239.4 |
Poultry eggs | 22.3 | 3099.9 | 5431.0 | 1636.7 |
Total | 77.8 | 10814.8 | 25820.2 | 7781.4 |
Table 2.
Current demand for feed grains
(2) Prediction of future demand for feed grains in different scenarios in the Chinese mainland
The predictions presented in this study are based on the two scenarios of Taiwan region’s current consumption of livestock and poultry products and the nutritional intake target in the Outline of China’s Food and Nutrition Development (2014-2020). Based on the current level of per capita apparent meat consumption in the Taiwan region, the Chinese mainland’s future apparent peak value of meat consumption is predicted to reach approximately 80 kg, and the upper limit of poultry egg consumption is estimated according to the food consumption targets proposed in the Outline of China’s Food and Nutrition Development (2014-2020). The total population is predicted to reach 1.5 billion by 2030, as calculated according to the National Population Development Plan (2016-2030) issued by the State Council. Therefore, the future demands for energy feed grains and protein feed grains obtained from this calculation are expected to be 327.0 million tons and 98.5 million tons, respectively, and the total amount of feed grains is expected to be 425.5 million tons. Based on population and the nutritional intake target in the Outline of China’s Food and Nutrition Development (2014-2020), the Chinese mainland’s future demand for feed grains is predicted to be 389.6 million tons, and the future demands for energy feed grains and protein feed grains obtained from this calculation are predicted to be 299.4 million tons and 90.2 million tons, respectively (
According to the first scenario, the Chinese mainland’s demand for feed grains is predicted to reach 425.5 million tons in 2030 based on Taiwan region’s consumption of livestock and poultry products, and the demands for energy feed grains and protein feed grains in 2030 are expected to be 327.0 million tons and 98.5 million tons, respectively. These values mean larger gaps in demand for corn and soybeans in the future, which pose a significant challenge to the secure supplies of energy feed grains and protein feed grains. According to the second scenario, the Chinese mainland’s demand for feed grains is predicted to reach 389.6 million tons in 2030 based on the nutritional intake target, and the demands for energy feed grains and protein feed grains in 2030 are expected to be 299.4 million tons and 90.2 million tons, respectively. In the future, the gap of corn-based energy feed grains will be small, while the gap of soybean-based protein feed grains will be large. A study by
Scenarios | Category | Per capita share | Total share | Demand for energy feed grains | Demand for protein feed grains |
---|---|---|---|---|---|
Taiwan region’s consumption of livestock and poultry products | Pork | 47.5 | 6887.5 | 20111.5 | 6061.0 |
Poultry meats | 24.2 | 3509.0 | 7318.8 | 2205.7 | |
Poultry eggs | 23.0 | 3335.0 | 5842.9 | 1760.9 | |
Total | 94.7 | 13731.5 | 33273.2 | 10027.5 | |
Nutritional intake target | Pork | 43.7 | 6333.5 | 18493.7 | 5573.4 |
Poultry meats | 20.1 | 2916.0 | 5601.7 | 1688.2 | |
Poultry eggs | 23.0 | 3355.0 | 5842.9 | 1760.9 | |
Total | 86.8 | 12584.4 | 29938.3 | 9022.5 |
Table 3.
Future demands for feed grains in different scenarios
4 Conclusion and prospects
This study predicts the future demand for feed grains based on an analysis of changes in the supply and demand levels for Chinese livestock and poultry products. The study results are as follows. First, the scale of production of livestock and poultry products expanded rapidly, and the total meat output increased by 7-fold from 1980 to 2017. In addition, the production levels of pork, poultry meats and poultry eggs increased by 5-fold, 11-fold and 13-fold, respectively. Second, the Chinese mainland’s per capita shares of these livestock and poultry products increased by 19.32%, 23.01%, 16.15%, and 30.51%, respectively, from 2007 to 2017. Additionally, the import volumes for meats and pork increased by 178% and 1318.41%, respectively, while the import volume for poultry meats decreased by 41.82%, and the export volume for poultry eggs decreased by 9.55% from 2007 to 2017. The ratios of supply and demand for pork and poultry meats decreased to 0.99 and 0.85 in 2017 from 1 and 0.93 in 2007, respectively. These values indicate that the pressure of the supply and demand balance is increasing. Third, this study shows that the patterns of change in meat consumption in the Chinese mainland and the Taiwan region are highly similar according to an analysis of changes in the per capita apparent consumption of livestock and poultry products in certain other countries and regions, such as the United States, Japan, and Taiwan of China. This study predicts that the Chinese mainland’s per capita future meat consumption will be 80 kg when it reaches its peak value. Fourth, the Chinese mainland’s demand for feed grains is predicted to reach either 425.5 million tons or 389.6 million tons in 2030, based on either the Taiwan region’s current consumption of livestock and poultry products or the nutritional intake target, respectively. According to the analysis of these results, the Chinese mainland’s present consumption of poultry eggs has nearly reached its peak value, and the growth rate will slow in the future; however, pork and poultry meat consumption are expected to maintain faster growth rates, and the pressure of the supply and demand balance will increase in the future. With the increasing demand for livestock and poultry products in the Chinese mainland, the demand for feed grains will continue to increase, and the shortfall in feed grain raw materials will further expand. In particular, the dependence on external sources of protein feed grains will remain high.
In the future, given the changes in the Chinese mainland’s population, economic growth, and dietary patterns, the demand for livestock and poultry products will further expand. To satisfy the demand of the Chinese mainland’s consumers, the conditions of the Chinese mainland’s limited agricultural production resources and more guarantees for the domestic grain self-sufficiency rate to reach 95% will inevitably lead to either an increase in the import volume of livestock and poultry or an increase in the import volume of grains used for feed. Satisfying the demand of Chinese consumers, who account for one-fifth of the world’s population, is a grim challenge, whether internationally or domestically. To this end, we can consider four possible solutions. First, the Chinese mainland can choose to appropriately import raw materials for feed, which is simultaneously conducive to increasing employment opportunities and improving farmers’ incomes through the development of the country’s livestock and poultry farming industries and also to an increase in the supply of livestock and poultry products. Second, in 2017, the Chinese mainland’s import volumes for soybean and corn reached 95.53 million and 2.83 million tons (General Administration of Customs), respectively. If the domestic market is completely opened, the current price advantage in the international market will inevitably create a significant increase in the import volumes of soybean and corn, which will greatly reduce the Chinese mainland’s grain self-sufficiency rate, impact farmers’ enthusiasm for cultivating land, and damage farmers’ interests. Moreover, long-term imports of large quantities of soybean and corn will increase international prices and reduce the profits of the Chinese mainland’s farming industry. Therefore, to safeguard the Chinese mainland’s interests and to avoid overreliance on the international market, finding other substitutes for energy feed and protein feed is necessary. Third, the research results of
References
[1] S Chao H, X Tian, H Yu X. Meat consumption structure, feed security, and grain security: Implication for the “supply-side reform” in agriculture. Research of Agricultural Modernization, 38, 737-745(2017).
[3] M Guan H, Z Liu M, B Gun S. Analysis on correlation coefficient of carcass quality traits about Hezuo pig in shelter feeding. Swine Production, 70-72(2016).
[4] . Outline of China’s food and nutrition development (2014-2020)(2014).
[6] M Jiang A, X Nan Q. Livestock and poultry production technology..
[7] M Liu A, N Jia P, X Wang L et al. Supply and demand analysis, future demand forecast, and countermeasure studies for forage materials in China. Engineering Science, 20, 47-52(2018).
[8] H Ma Y, Y Niu W. Forecasting on grain demand and availability of cultivated land resources based on grain safety in China. China Soft science, 11-16(2009).
[9] F Mao X, J Liu, K Zhu X. International food consumption and its implications on China’s food gaps: Evidence from historical data. Economic Theory and Business Management, 34, 103-112(2014).
[10] A Vasileska, G Rechkoska. Global and regional food consumption patterns and trends. Procedia-Social and Behavioral Sciences, 44, 363-369(2012).
[11] Y Xiao, K Cheng S, D Xie G et al. The balance between supply and consumption of the main types of grain in China. Journal of Natural Resources, 32, 927-936(2017).
[12] J Xin L. Prediction of food consumption and grain demand in Chinese mainland. Engineering Science, 20, 143-149(2018).
[13] J Xin L, X Wang L, M Liu A. Regional production and consumption equilibrium of feed grain in China and its policy implication. Journal of Natural Resources, 33, 57-69(2018).
[14] L Zhang C. Corn has become the largest grain crop variety in China. Farm Produce Market Weekly, 12(2012).
[15] Y Zhou Z, M Tian W, B Malcolm. Supply and demand estimates for feed grains in China. Agricultural Economics, 39, 111-112(2008).

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