Table 2.
Model | Variable | Sample size | Mean | Standard deviation | Max. | Min. | |
---|---|---|---|---|---|---|---|
A: Sample affected by the ASF epidemic | |||||||
Armington model | The relative demand for imports | Y it | 605 | −5.86 | 1.62 | −3.04 | −12.16 |
Relative price | X it | 605 | 0.43 | 0.46 | 2.80 | −2.07 | |
Lags a period relative prices | X it−1 | 594 | 0.42 | 0.46 | 2.80 | −2.07 | |
Breakpoint regression model 1 | The growth rate of pork imports | increase i | 592 | 0.32 | 3.65 | 84.00 | −0.94 |
Threshold regression model | Impact of ASF | ASF t | 611 | −0.94 | 5.69 | 1.48 | 1 |
Breakpoint regression model 2 | Chinese price of pork | 611 | 1.15 | 0.51 | 1.96 | 0.49 | |
Chinese Pork Imports from Country i | ln Mi | 611 | 15.65 | 1.57 | 18.31 | 9.39 | |
The import price of pork | 611 | 0.73 | 0.44 | 3.98 | −0.88 | ||
The exchange rate | ln ratei | 611 | 1.68 | 2.12 | 7.06 | 0.03 | |
B: Sub–samples suffering from the impact of COVID−19 | |||||||
Armington model |
The relative demand for imports | Y it | 364 | −5.52 | 1.51 | −3.04 | −10.81 |
Relative price | X it | 364 | 0.61 | 0.49 | 2.80 | −2.07 | |
Lags a period relative prices | X it−1 | 364 | 0.58 | 0.49 | 2.80 | −2.07 | |
Threshold regression model | Impact of COVID−19 | COVID t | 143 | 2022.865 | 2922.703 | 13610.37 | 6.81 |
Breakpoint regression model 2 | Chinese price of pork | 364 | 1.44 | 0.48 | 1.96 | 0.66 | |
Chinese Pork Imports from Country i | ln Mi | 364 | 15.93 | 1.46 | 18.31 | 10.8 | |
The import price of pork | 364 | 0.83 | 0.52 | 3.98 | −0.88 | ||
The exchange rate | ln ratei | 364 | 1.65 | 2.11 | 6.97 | 0.03 |