Abstract: - Digital village is the strategic direction of rural revitalization, and also an important part of building

a digital China. At present, the construction of digital countryside is advancing, and a reasonable evaluation of

the results of rural revitalization can effectively evaluate the use of funds. Therefore, in this study, firstly, based

on the economic, social, and ecological perspectives, the fund performance evaluation index system of rural

revitalization is constructed. Secondly, the correlation analysis method is used to select the evaluation index,

and the combined weight method is employed to obtain the weight of the evaluation index. Finally, according

to the extension cloud theory, the performance evaluation model of targeted poverty alleviation is implemented,

and an empirical study is conducted on the performance evaluation of S Province with excellent rural

revitalization. The results reveal that the income growth rate of the poor population, the incidence of rural

poverty, and the rate of good air quality are the most vital indicators, with weights of 0.094, 0.092, and 0.07

Key-Words: - Digital Economy; Performance Evaluation Model; Extension Cloud Theory; Rural Vitalization;

Received: May 13, 2023. Revised: October 17, 2023. Accepted: October 31, 2023. Published: November 10, 2023.

China is a typical developing agricultural country,

and agriculture is very vital to China's social and

gradually slowed down, transforming from the stage

of high-speed growth to the stage of quality

development, [5], [6]. With the swift growth of

Internet information technology (IT), the digital

economy continuously promotes the development of

all walks of life and has become the main economic

forward the initial ideas for implementing the digital

rural strategy. Subsequently, a series of policy

documents were gradually issued aimed at

promoting the development of the digital

countryside and digital agriculture. It is of great

significance to explore the digital economy to

improve rural revitalization in this context.

the reduction of workers' or farmers' skills. It was

also controversial that the reduction of agricultural

employment opportunities led to an increase in

workers' dependence. It is important to establish

agricultural policies that can promote fair and just

working conditions, [16], denoted that in many low-

and middle-income countries, more than 70% of

farmers were small-scale producers. Research on

digital agriculture technology can help accelerate

the use of digital agriculture by smallholder

producers, improve farmers' income and ensure

global food security. [17], investigated the economic

studied the development prospect of digital

agriculture in Russia and believed that agricultural

efficiency could be increased by five times after the

transition to digital agriculture in Russia. However,

evaluation of rural economic results, providing

valuable guidance for the development of digital

agriculture. From the selection of performance

indicators, the design of the current performance

indicator system mainly considers economic, social,

cultural, or environmental factors, as well as factors

related to poverty reduction, which is not accurate

enough. This has a certain impact on the accuracy of

the accurate evaluation of the results of the special

financial rural revitalization. In order to solve the

revitalization of the rural industry is promoted from

the aspects of the industry, production efficiency,

development mode, and industrial structure, [22],

[23]. Of course, the digital economy is also playing

an important positive role in promoting green urban

development.

digital village construction, the academic

community's attention and exploration of economic

resilience are also following up, and relevant

research results are gradually enriched and

diversified. The existing literature has studied the

construction of digital countryside and the

application of digital functions to specific scenes

from different perspectives. From the perspective of

technology governance, digital technology can

empower the modernization of rural governance

system, promote co-governance of multiple subjects,

promote the intelligent transformation of

governance decisions, consolidate the material

financial market, [26], and break the traditional

industrial integration path to achieve diversified

development, [27]. From the perspective of

ecological protection, [28] pointed out that the

Whether rural revitalization through financial

special measures can play a positive role needs to

consider many factors. Blindly investing a large

number of funds may not bring orderly economic

development. The following three issues should be

which uses expectations ( ), entropy ( ), and

hyper entropy ( ) to build a cloud correlation

function, the related calculation is as follows:

(1)

maximum and minimum values of indicators

respectively; is the experience value of the

designated expert.

cloud model and matter-element theory. According

to the matter-element theory, an extension cloud

model for the fund performance evaluation of rural

revitalization is implemented, as denoted in Eq. (4),

[34]:

(4)

and in the cloud model. Then the extension

cloud matter-element model for fund performance

evaluation of rural revitalization is written as Eq. (5):

(5)

revitalization involves a large number of evaluation

indicators, among which there may be collinearity

and other problems. Therefore, correlation analysis

is used to screen indicators, [35]. The correlation

coefficient is plotted in Eq. (6):

performance evaluation results of rural revitalization,

(14):

(14)

value, the smaller the dispersion degree of the fund

performance evaluation results, and the greater the

credibility? Conversely, the less confidence in the

evaluation results.

According to the actual situation of S Province, a

(Appendix).

capita total retail sales of consumer goods is deleted.

indicators are obtained. The relevant statistical data

came from the poverty alleviation office and the

statistical bulletin of S Province over the years, as

described in Table 2 (Appendix).

URUR and the number of people lifted out of

total power of agricultural machinery are deleted

according to the screening results. Through the

screening of evaluation indexes, the redundant and

less correlated evaluation indexes are eliminated,

and the index system is simplified to ensure the

accuracy of evaluation results.

According to the national poverty standard, the level

of national income, and income hierarchy standards

occurrence of new poverty.

economic performance subsystem.

Through the radar chart processing from 2015 to

Province is developing well. From the specific

indicators of economic performance, the per capita

GDP increased from 46,654 yuan in 2015 to 75,400

yuan from 2015 to 2021. The per capita disposable

income of farmers increased from 8,689 yuan in

2015 to 13,316 yuan in 2021, and the income gap

between urban and rural areas has been narrowing,

from 3.04:1 to 2.76:1. It means that with the swift

economic progress of S Province, the digital

economy has been continuously involved in farmers'

added from 52.57% in 2015 to 63.6% in 2021. The

density of the highway increased from 0.65

km/10,000 sq km in 2015 to 0.95 km/10,000 sq km

in 2021. The growth of these indicators has

enhanced the social performance of S Province.

However, compared with the national average level,

the province's social security indicators still have a

large room for improvement, and various social

security measures still need to be strengthened. In

the aspect of specific indicators of ecological

performance, the forest coverage rate of S Province

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