Research on E-commerce Mode of Rural Common Wealth Realisation Path under the Internet Environment

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A set of rules with scoring information

Rule classification	The rule of the band	support	confidence
1	(G4,3.02) → (G7,2.55)	0.32	0.72
	(G4,3.02),(G8,3.02) → (G7,2.55)	0.32	0.72
2	(G3,3.02) → (G2,2.12)	0.32	0.72
	(G9,4.25) → (G2,2.82)	0.55	0.68
	(G4,3.02),(G8,4.22) → (G1,2.12)	0.32	0.72
3	(G5,3.15) → (G7,4.00)	0.32	0.72
	(G8,3.5) → (G7,3.4)	0.55	0.68
	(G5,3.15),(G8,2.51) → (G7,4.00)	0.32	0.72

The production and operation of the farmers

Statistical characteristics	categories	Sample size	Proportion(%)
Area of planting	3 mu and below	80	57.14%
	4-10mu	55	39.29%
	Ten mu and above	5	3.57%
Price volatility	general	15	10.35%
	larger	120	82.76%
	large	10	6.9%
Sales difficulty	No difficulty	5	3.7%
	Occasionally difficulty	65	48.15%
	Often difficulty	65	48.15%
Stable fruit sales channel	yes	45	32.14%
	no	95	67.86%

The scale and growth rate of rural e-commerce in Guangxi

Year	The scale of the transaction (billion)	Rateyear-to-year growth
2016	5.22	5%
2017	8.62	10%
2018	10.62	15%
2019	1.28	2.76%
2020	2.31	3.19%
2021	4.22	4.04%
2022	6.59	5.14%
2023	8.46	4.62%

Sample transaction database

Transaction serial number	Purchase record
T1	(G1,3),(G3,3),(G4,3),(G8,2),(G9,4)
T2	(G1,3),(G3,4),(G8,5)
T3	(G2,3),(G6,3),(G7,5),(G8,6)
T4	(G2,4),(G6,2),(G7,5)
T5	(G2,3),( G2,5),(G4,5),(G7,5),(G9,3)
T6	(G1,4),(G7,3),(G8,5),(G9,4)
T7	(G4,5),(G7,6),(G8,2),( G9,1)
T8	(G1,1),(G4,2),(G5,1),(G7,4),(G8,4),(G9,5)
T9	(G1,5),(G2,4),(G5,4),(G8,5)

Guangxi rural e-commerce product structure

Product category	2019 annual sales (billion yuan)	2020 annual sales (billion yuan)	2021 annual sales (billion yuan)	2022 annual sales (billion yuan)	2023 annual sales (billion yuan)
Agricultural product	(20.76)	(22.22)	(33.73)	(42.69)	(43.38)

There is a collection of value recommendation rules

Rule Number	Support	Confidence	There Is A Value Recommendation Rule
R1	0.32	0.72	G4 → G7
R2	0.32	0.72	G4, G8 → G7
R3	0.32	0.72	G3 → G2
R4	0.55	0.68	G9 → G2
R5	0.32	0.72	G4, G8 → G1
R6	0.32	0.72	G5 → G7
R7	0.55	0.68	G8 → G7
R8	0.32	0.72	G5, G8 → G7

The similarity degree of the project and the calculation of the similarity of the score

Rule classification	There is a value rule for the score	Project similarity	Scoring similarity
1	G4 → (G7,2.55)	0.66	0.22
	G4, G8 → (G7,2.55)	1.02	0.51
2	G3 → (G2,2.12)	0.66	0.22
	G9 → (G2,2.82)	0.66	0.18
	G4, G8 → (G1,2.12)	1.02	0.42
3	G5 → (G7,4.00)	0.66	0.54
	G8 → (G7,3.4)	0.66	0.22
	G5, G8 → (G7,4.00)	1.02	0.59

Investigation area and sample distribution

Township	Sample Village	Effective Sample Number (Household)	Sample Scale(100%)	Cooperatives
Wu Ming	Village A	25	18.52%	10
	Village B	35	25.93%	5
	Village C	20	14.82%	15
Qin Zhou	Village D	30	22.22%	8
	Village E	25	18.52%	12
Tot	--	140	100%	50

The predicted score of the recommended results

Rule classification	Valuable rules information	Prediction score
1	G4 → (G7,2.55)	2.65
	G4, G8 → (G7,2.55)
2	G3 → (G2,2.12)	2.21
	G9 → (G2,2.82)
	G4, G8 → (G1,2.12)
3	G5 → (G7,4.00)	3.82
	G8 → (G7,3.4)
	G5, G8 → (G7,4.00)