Table 1 The top 30 sources exporting poultry to Guangzhou predicted by the presented modified radiation model.

Origin	Values for proxy variable for trade flows predicted	Proportion to total columns to Guangzhou	Cumulative proportion to total columns to Guangzhou	Reported as sources by Lin et al.
Foshan	114268.7	0.223071	0.223071	TRUE
Qingyuan	78539.65	0.153322	0.376393	TRUE
Yunfu	60975.59	0.119034	0.495428	TRUE
Jiangmen	53338.82	0.104126	0.599554	TRUE
Nanping	40481.61	0.079027	0.678581	FALSE
Yulin-Jx	22127.38	0.043196	0.721777	TRUE
Huizhou	20305.16	0.039639	0.761416	TRUE
Zhaoqing	19249.77	0.037579	0.798995	TRUE
Maoming	11754.45	0.022947	0.821941	TRUE
Guilin	8503.421	0.0166	0.838541	TRUE
Heyuan	7992.58	0.015603	0.854144	TRUE
Dongguan	7894.495	0.015411	0.869555	TRUE
Chongqing	6889.456	0.013449	0.883005	FALSE
Meizhou	5871.328	0.011462	0.894467	TRUE
Qinzhou	5600.758	0.010934	0.9054	TRUE
Hengyang	5173.651	0.0101	0.9155	TRUE
Ganzhou	3856.188	0.007528	0.923028	TRUE
Shanwei	3852.58	0.007521	0.930549	TRUE
Jieyang	2875.017	0.005613	0.936161	TRUE
Longyan	2462.79	0.004808	0.940969	TRUE
Zhanjiang	2311.45	0.004512	0.945481	TRUE
Shaoguan	2133.053	0.004164	0.949645	TRUE
Nanning	1839.922	0.003592	0.953237	TRUE
Shantou	1584.008	0.003092	0.95633	FALSE
Ji-an	1215.081	0.002372	0.958702	TRUE
Changde	1157.966	0.002261	0.960962	TRUE
Chenzhou	961.7035	0.001877	0.96284	FALSE
Guigang	867.1939	0.001693	0.964532	TRUE
Changchun	858.2947	0.001676	0.966208	FALSE
Zhongshan	702.2188	0.001371	0.967579	TRUE

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