| Literature DB >> 35681320 |
Jingyi Liu1, Xiande Li1.
Abstract
The world has entered a compound risk era with multiple crises, and the adverse impact of trade friction and extreme weather disasters on China's barley import has become increasingly prominent. In this context, this study uses superimposed epoch analysis and partial equilibrium model to evaluate the impact of extreme weather disasters in China's major barley-exporting countries on China's barley industry in the course of China-Australia trade friction. The results show that: (1) extreme weather disaster caused barley production in France and Canada to decrease by 7.95% and 18.36% respectively; (2) when the two external shocks occur at the same time, China's barley import volume tends to decline compared with the basic scenario, the import price rises sharply, there are certain trade-diverting effects in barley import, and China's imports from countries not affected by extreme weather disasters will increase to a certain extent; (3) China's barley production remains at a low rate of growth and is vulnerable to external shocks, facing certain import risks. This study provides important policy implications for preventing import risks and ensuring the sufficient supply of domestic barley.Entities:
Keywords: barley trade; extreme weather disasters; partial equilibrium; trade friction
Year: 2022 PMID: 35681320 PMCID: PMC9180676 DOI: 10.3390/foods11111570
Source DB: PubMed Journal: Foods ISSN: 2304-8158
Figure 1Changes in import proportion of major exporting countries of barley in China from 1995 to 2020 (unit: %).
Overview of natural disasters in main producing areas of major barley-exporting countries (1961–2020).
| France | Canada | |||
|---|---|---|---|---|
| Frequency | Proportion | Frequency | Proportion | |
| Flood | 12 | 42.86 | 17 | 28.81 |
| Storm | 5 | 17.86 | 20 | 33.89 |
| Drought | 7 | 25.00 | 4 | 6.78 |
| Extreme Temperature | 4 | 14.29 | 5 | 8.47 |
| Wild Fire | 0 | 0 | 10 | 16.95 |
| Landslide | 0 | 0 | 1 | 1.69 |
| Volcanic Activity | 0 | 0 | 0 | 0 |
| Pest | 0 | 0 | 0 | 0 |
| Infectious Diseases | 0 | 0 | 2 | 3.39 |
| Earthquake | 0 | 0 | 0 | 0 |
| Total Disaster | 28 | / | 59 | / |
Variables and data source.
| Variable | Unit | Symbol | Data Sources | |
|---|---|---|---|---|
| Endogenous | Barley production in China | 104 Ton | QCHN | FAOSTAT |
| Barley planting area in China | 104 hectare | A | FAOSTAT | |
| Barley yield per unit area | Ton per | Y | FAOSTAT | |
| barley market price in China | USD/Ton | DBP | FAOSTAT | |
| Barley consumption in China | 104 Ton | DDCN | FAOSTAT | |
| Chinese barley imports | 104 Ton | IMi | Un Comtrade | |
| Import barley price | USD/Ton | IBPi | Un Comtrade | |
| Exogenous | Market prices of other | USD/Ton | DOPCi | CASM |
| China’s per capita GDP | USD | PGDP | NBS | |
| China Consumer Price Index | - | CPI | NBS | |
| Barley production in | 104 Ton | Qi | FAOSTAT | |
| Positive external impact | - | DZ | - | |
| Negative external impact | - | DJ | - | |
| Exchange rate | - | EXi | World bank | |
| corn market price in China | USD/Ton | DCP | FAOSTAT | |
| Effect of extreme weather | % | Z | - | |
Variables’ descriptive statistics.
| Variable | Mean | Standard Deviation | Minimum | Maximum |
|---|---|---|---|---|
| DBP | 217.02 | 86.45 | 95.41 | 330.94 |
| DDCN | 526.71 | 125.01 | 327.41 | 777.10 |
| PGDP | 12,537.51 | 9665.03 | 2362.30 | 32,189.00 |
| CPI | 102.77 | 3.58 | 98.60 | 117.10 |
| IMa | 138.40 | 80.24 | 64.97 | 324.07 |
| IMc | 57.31 | 39.80 | 25.94 | 175.48 |
| IMf | 49.26 | 54.33 | 4.17 | 190.45 |
| IMo | 31.50 | 29.94 | 7.32 | 133.76 |
| Qa | 783.93 | 209.56 | 386.48 | 1350.60 |
| Qc | 1039.46 | 237.45 | 711.68 | 1556.20 |
| Qf | 1075.58 | 140.77 | 759.03 | 1356.54 |
| Qo | 11,179.73 | 839.73 | 9535.19 | 12,510.68 |
| IBPa | 230.39 | 68.69 | 134.37 | 455.23 |
| IBPc | 247.95 | 77.59 | 148.30 | 439.55 |
| IBPf | 225.73 | 77.59 | 113.94 | 452.39 |
| IBPo | 239.75 | 77.20 | 148.73 | 439.80 |
| EXa | 5.48 | 0.68 | 4.29 | 6.66 |
| EXc | 5.85 | 0.68 | 4.87 | 7.11 |
| EXf | 8.64 | 1.09 | 6.94 | 10.42 |
| EXo | 7.37 | 0.86 | 6.14 | 8.35 |
| DCP | 218.65 | 93.81 | 115.94 | 389.09 |
Design of the extreme natural disaster simulation scheme.
| Programs | Country | Impact on Yield | Tariff |
|---|---|---|---|
| Basic scenario | - | - | Zero tariff on barley imported from Australia; |
| Scenario 1 | France | −7.95 | 80.5% tariff on barley imported from Australia; |
| Scenario 2 | Canada | −18.36 | 80.5% tariff on barley imported from Australia; |
Effects of droughts and floods on yield per unit area, harvested area, and yield of barley in France (unit: %).
| Disaster Year | Impact on | Average | Impact on | Average | Impact on Yield | Average | |
|---|---|---|---|---|---|---|---|
| Drought | 1989–1990 | −1.55 | −8.18 | −0.18 | −0.27 | −0.16 | −8.19 |
| 2003 | −16.76 | 7.51 | −10.50 | ||||
| 2018 | −6.23 | −8.14 | −13.90 | ||||
| Flood | 1993–1994 | −1.67 | −8.39 | −2.83 | 1.04 | −4.65 | −7.70 |
| 2001 | −11.70 | 7.38 | −5.27 | ||||
| 2005 | −1.01 | −2.83 | −3.76 | ||||
| 2016 | −19.16 | 2.45 | −17.10 |
Effects of droughts and floods on yield per unit area, area, and yield of barley in Canada (unit: %).
| Disaster Year | Impact on | Average | Impact on | Average | Impact on Yield | Average | |
|---|---|---|---|---|---|---|---|
| Drought | 1961 | −35.07 | −16.96 | 4.58 | −3.52 | −32.09 | −20.53 |
| 1984 | −8.96 | 0.34 | −8.87 | ||||
| 1988 | −6.84 | −14.66 | −20.62 | ||||
| Flood | 1974 | −13.24 | −7.94 | 2.67 | −9.01 | −10.91 | −16.24 |
| 1988 | −6.84 | −14.66 | −20.62 | ||||
| 1995 | −1.11 | −2.83 | −4.36 | ||||
| 1997 | −6.53 | 2.66 | −4.25 | ||||
| 2002 | −16.93 | −21.80 | −35.10 | ||||
| 2006 | −0.43 | −15.15 | −15.24 | ||||
| 2014 | −10.47 | −13.99 | −23.22 |
Simulation results of changes in China’s barley import trade (Scenario 1).
| Source of Import | Basic Scenario | Simulated Scenario | ||
|---|---|---|---|---|
| Import | Import Prices | Import | Import Prices | |
| Australia | 157.35 | 232.83 | 91.76 | 429.61 |
| Canada | 227.13 | 204.49 | 236.93 | 206.90 |
| France | 188.08 | 193.37 | 155.55 | 196.14 |
| Other countries | 272.07 | 228.37 | 278.88 | 232.71 |
Simulation results of changes in barley production and consumption in China (Scenario 1).
| Scenario | Yield | Import Quantity | Consumption | Domestic Price |
|---|---|---|---|---|
| Basic scenario | 90.12 | 844.62 | 934.74 | 1.99 |
| Simulated scenario | 91.24 | 763.11 | 854.35 | 2.07 |
Simulation results of changes in China’s barley import trade (Scenario 2).
| Source of | Basic Scenario | Simulated Scenario | ||
|---|---|---|---|---|
| Import | Import Prices | Import | Import Prices | |
| Australia | 157.35 | 232.83 | 91.79 | 429.97 |
| Canada | 227.13 | 204.49 | 204.30 | 207.00 |
| France | 188.08 | 193.37 | 192.13 | 196.25 |
| Other countries | 272.07 | 228.37 | 279.14 | 232.87 |
Simulation results of changes in barley production and consumption in China (Scenario 2).
| Scenario | Yield | Import | Consumption | Domestic Price |
|---|---|---|---|---|
| Basic scenario | 90.12 | 844.62 | 934.74 | 1.99 |
| Simulated scenario | 91.28 | 767.37 | 858.64 | 2.07 |