Evolutionary Game Analysis of Chinese Food Quality considering Effort Levels

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Supplier</td><td class="align_center" colspan="2">Producer</td></tr><tr class="thead"><td class="align_center">QE</td><td class="align_center">NE</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">QE</td><td class="align_center"><span class="nowrap"><svg height="11.8174pt" id="M76" style="vertical-align:-3.1815pt" version="1.1" viewbox="-0.0498162 -8.6359 76.0166 11.8174" width="76.0166pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M610 18C585 26 567 34 540 68C517 97 499 128 476 171C452 215 425 276 413 304C496 332 570 394 570 494C570 555 545 595 509 619S419 650 364 650H139L133 622C216 615 219 612 203 527L129 132C112 40 105 36 23 28L17 0H279L285 28C199 34 194 40 211 132L239 284H284C320 284 334 275 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<div>Payoff matrix under the punishment mechanism.</div>

Complexity

tab7

Table 7

Table 7: Evolutionary Game Analysis of Chinese Food Quality considering Effort Levels 