By Xi He, Dermot J. Hayes, and Wendong Zhang
In June and July 2020, severe floods wreaked havoc in many provinces in southern China (Wong 2020). China’s Ministry of Emergency Management reported that rainfall during this year’s rain season reached 759.2 mm, which is more than twice the usual amount and the highest level since 1961. According to news from the State Council Information Office, as of August 13, 2020, the heavy rainfall has affected 27 provinces, 63 million people, and led to a direct loss of $26 billion, which is around 0.21% of China’s estimated 2020 GDP. Specifically, the floods affected 6.03 million hectares of cropland, with 1.14 million hectares of crop failure, mostly concentrated in the middle and lower reaches of the Yangtze River basin. To put the affected cropland into perspective, the total summer crop sown area in 2020 is 26.17 million hectares; therefore, the floods affected 23% of the planted area of summer crops and caused 4.3% crop failure. After severe flooding in the Yangtze River basin, heavy rain also hit Sichuan and Shandong in mid-August, causing more agricultural production loss and pushing food prices further.
The summer floods and their consequences have focused attention on the flood control role of the Three Gorges Dam (TGD) and increases in food prices and China’s food security. President Xi’s visit to crop fields in Jilin in late July, and the call to reduce food-waste in mid-August, exacerbated concerns over China’s food security (Cao 2020).
We first review the flood damage that impacted the seven provinces within the Yangtze River basin in June and July, and Sichuan and Shandong in August. We then analyze the potential impact on agricultural production and food prices.
From June 2 to July 31, China’s Central Meteorological Observatory issued heavy rain alerts for 52 days, among which 41 were consecutive. The seven most seriously affected provinces were Chongqing, Hubei, Hunan, Anhui, Jiangxi, Jiangsu, and Zhejiang, which are at the middle and lower reaches of the Yangtze River. The worst impacted regions were Jiangxi, Anhui, Hunan, and Hubei as shown in figure 1a. Some parts of Heilongjiang in northeast China also experienced heavy rain and were flooded as of July 31, 2020.
After severe flooding in the Yangtze River basin in June and July, heavy rain hit Sichuan and Shandong provinces in August, neither of which are along the Yangtze River, as shown in figure 1b. On August 18, 2020, Sichuan activated the highest level of flood control alert for the first time on record.
Most of the severe flooding was downstream of the TGD. The TGD is the world’s largest hydropower dam and stretches 2,335 meters across the Yangtze River (Deng 2020). The TGD has a hydropower generating capacity of 22,500 megawatts, which is more than three times the capacity of Grand Coulee Dam in the United States, and it improves river transportation conditions. One of TGD’s goals is to provide flood control to the middle and lower reaches of the Yangtze River.
Agricultural production in affected provinces
The seriously affected provinces are crucial agricultural production regions. Table 1 shows that, in 2019, the nine provinces that experienced flood damage produced 40% of China’s grains, including 60.9% of its rice and 46.3% of its wheat. These provinces also accounted for 45.2% of China’s pork production, 47.5% of vegetables, and 42.5% of poultry and eggs (NBSC 2020). Table 1 also reports the share of key agricultural commodities produced by Heilongjiang, a province that produces 41.2% of China’s soybeans and 15.5% of China’s corn. Heilongjiang was also partially flooded in July and severely affected by a typhoon in early September.
Grains | Rice | Wheat | Corn | Soybeans | Pork | Beef | Poultry and eggs | Vegetables | |
---|---|---|---|---|---|---|---|---|---|
Provinces affected in June and July | |||||||||
Chongqing | 1.2% | 2.3% | 0.1% | 1.0% | 1.2% | 2.6% | 1.1% | 1.3% | 2.8% |
Hubei | 4.4% | 9.3% | 3.1% | 1.3% | 2.1% | 5.7% | 2.4% | 5.5% | 5.7% |
Hunan | 4.7% | 12.6% | 0.1% | 0.8% | 1.7% | 8.2% | 2.8% | 3.4% | 5.5% |
Jiangxi | 3.5% | 9.9% | 0.0% | 0.1% | 1.6% | 4.9% | 2.0% | 1.5% | 2.2% |
Anhui | 6.4% | 7.9% | 12.2% | 2.3% | 6.1% | 4.6% | 1.4% | 5.1% | 3.1% |
Jiangsu | 5.9% | 9.2% | 9.8% | 1.2% | 3.1% | 3.4% | 0.4% | 5.7% | 7.8% |
Zhejiang | 0.9% | 2.3% | 0.3% | 0.1% | 1.3% | 1.4% | 0.2% | 1.0% | 2.6% |
Provinces affected in August | |||||||||
Sichuan | 4.6% | 7.0% | 1.9% | 4.1% | 5.6% | 8.3% | 5.5% | 4.8% | 6.4% |
Shandong | 8.5% | 0.5% | 18.8% | 10.1% | 2.7% | 6.0% | 11.0% | 14.3% | 11.3% |
Total of affected provinces | 40.1% | 60.9% | 46.3% | 20.9% | 25.5% | 45.2% | 26.8% | 42.5% | 47.5% |
Heilongjiang | 11.1% | 12.7% | 0.3% | 15.5% | 41.2% | 3.2% | 6.8% | 3.5% | 0.9% |
Other provinces | 48.8% | 26.5% | 53.5% | 63.6% | 33.3% | 51.6% | 66.4% | 54.1% | 51.6% |
Total (Million tons) | 610 | 212 | 131 | 257 | 16 | 43 | 7 | 31 | 721 |
There are no official data on the amount of crop and livestock products affected by the floods, and province-level agricultural production data are not adequate for estimating crop and livestock as not all impacted provinces are flood damaged. Therefore, we use NASA’s Near Real-Time Global Flood Mapping as of July 31, 2020, and the cropland map from the Global Food Security-support Analysis Data @30m (GFSAD30) to identify the flooded cropland. Figure 2 shows China’s cropland map in 2015 and the 14-day composite flooded area as of July 31, 2020.
Table 2 presents flooded and affected cropland area in Anhui, Jiangxi, Hunan, and Hubei provinces, where the floods are most serious, using data from the August 2020 CropWatch Bulletin (IRSDE 2020). Based on the report, flooding affected 731,000 hectares in the four provinces, 54.2% of which was planted with rice. Data on flooded cropland in Shandong and Sichuan from online news show that 0.3% of cropland in Shandong and 2.5% of cropland in Sichuan were flooded in August. In addition, a severe typhoon passed through Heilongjiang in early September, affecting 669,300, 348,000, and 6,000 hectares of soybeans, rice, and wheat, respectively.
Flooded areas (Thousand hectares) | Share of flooded areas in each province (%) | Flooded cropland (Thousand hectares) | Share of flooded cropland in each province's (%) | |
---|---|---|---|---|
Hunan | 350 | 1.6 | 101 | 1.7 |
Anhui | 360 | 2.5 | 275 | 3.7 |
Hubei | 376 | 2 | 217 | 3 |
Jiangxi | 357 | 2.1 | 138 | 4 |
Shandong | - | 21.98 | 0.3 | |
Sichuan | - | 165 | 2.5 | |
Total | 1444 | 917.98 |
Impact on food prices and imports
The flooding in China could affect food prices directly via agricultural production and indirectly via food product transportation. Figure 3 presents the daily price indexes of grains, meat, and vegetables from May 1, 2019, to September 9, 2020. While the price index of grains was relatively stable, the price indexes of meat and vegetables increased gradually starting in early June, and remained stable through late August, which indicates that the floods damaged the production and transportation of meat and vegetables.
To differentiate the floods’ impacts on food prices in affected and unaffected provinces, figures 4a and 4b show daily wholesale prices of pork and cucumber, which are representative of meat and vegetables, in affected and unaffected provinces from January 1, 2020, to September 9, 2020.
Figures 4a and 4b show that China’s pork price is about three times the US pork price, while China’s cucumber price is about half of the US cucumber price. There is evidence that the floods increased the pork and cucumber prices in both affected and unaffected regions.
We empirically test if the food price impact is greater in affected than unaffected provinces by regressing the logarithm of province-level daily price on the dummy of June/July flood and August flood and a set of year-by-month and province fixed effects. The regression results show that, compared with unaffected provinces, the June/July floods increased the pork price by 5.8% and the August floods increased the pork price by 10.2% in affected provinces. For cucumber, we find the June/July floods increased the price by 33% while the August floods increased the price by 11%. All the estimates are statistically significant at the 1% level.
Overall, the price analysis shows that the floods increased pork and vegetable prices in both affected and unaffected regions, with a stronger impact on affected regions.
China’s agricultural imports, in particular corn and pork, are surging (He et al. 2020). Figure 5 shows China’s monthly imports of key agricultural commodities from July 2018 to July 2020. Wheat and corn are the main drivers of China’s surging grain imports. In addition, China also has a strong demand for pork and beef products. We should note that China’s growing corn imports are primarily driven by its efforts to rebuild its hog inventory following a 2018 outbreak of African swine fever.
We find the floods caused about 4.3% of summer crop failure and that the floods increased meat and vegetable prices, but not grain prices. The food price impact is stronger in flood-impacted provinces. Specifically, compared with unaffected provinces, the June/July floods increased the pork price by 5.8% and the cucumber price by 33%, and the August floods increased the pork price by 10.2% and the cucumber price by 11% in affected provinces. While the floods caused about 4.3% of summer crop failure, China increased its grain imports this year, which could partially counteract its grain production loss from floods and dampen the floods’ negative impacts on its food security.
References
Cao, D. 2020. “Xi Calls for Promoting Thrift, Stopping Food Waste.” China Daily August 12, 2020.
Deng, C. 2020. “Flooding Again Pounds China’s Three Gorges Dam.” The Wall Street Journal August 20, 2020.
Gan, N. 2020. “China’s Three Gorges Dam is One of the Largest Ever Created, Was It Worth It?” CNN July 31, 2020.
He, X., D.J. Hayes, and W. Zhang. 2020. “China’s Agricultural Imports under the Phase One Deal: Is Success Possible?” CARD Policy Brief 20-PB 29. Center for Agricultural and Rural Development, Iowa State University.
Institute of Remote Sensing and Digital Earth (IRSDE). 2020. CropWatch Bulletin Quarterly Report on Global Crop Production.
Ministry of Agricultural and Rural Affairs of China (MARAC). 2020. Price of Agricultural Products.
National Bureau of Statistics of China (NBSC). 2020.
Thenkabail, P., J. Knox, M. Ozdogan, M. Gumma, R. Congalton, Z. Wu, C. Milesi, A. Finkral, M. Marshall, I. Mariotto, S. You, C. Giri, P. Nagler. 2016. NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security Support Analysis Data (GFSAD) Crop Dominance 2010 Global 1 km V001 [Data set]. NASA EOSDIS Land Processes DAAC. Accessed 2020-09-03.
Wong, D. 2020. “China’s Worst Floods in Decades.” South China Morning Post July 27, 2020.
Footnotes
1. The plum rain, also called East Asian rainy season, is caused by precipitation along a persistent stationary front for nearly two months during the late spring and early summer in East Asia between mainland China, Taiwain, Korea, and Japan. ↩
2. See more details at www.gov.cn./xinwen/2020-08/13/content_5534534.htm. (in Chinese) ↩
3. China’s Congress officially approved the TGD construction on April 3, 1992. The dam construction began on December 14, 1994, and was completed in 2012. ↩
4. The Chongqing-Wuhan shipping capacity rose from 10 million to 100 million tons/year. ↩
5. When 2019 data are not available we use 2018 data. ↩
6. The Global Food Security-support Analysis Data @30-m (GFSAD30) is a project led by US Geological Survey in collaboration with NASA and several universities and research institutions to provide highest resolution, objective cropland datasets to assist and address global food and water security issues (Thenkabail et al. 2016). ↩
7. Vietnam imposed rice export restrictions from March 24 to April 30, 2020, to make sure it has enough domestic supply to cope with the COVID-19 outbreak. ↩
Suggested citation:
He, X., D. Hayes, and W. Zhang. 2020. "The Impact of Flooding on China’s Agricultural Production and Food Security in 2020." Agricultural Policy Review, Fall 2020. Center for Agricultural and Rural Development, Iowa State University. Available at www.card.iastate.edu/ag_policy_review/article/?a=115.