Affiliation:
1. Hunan Provincial Bureau of Statistics, Changsha 410011, CHINA
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 respectively. From 2015 to 2021, S Province maintained a high level of environmental performance, while its economic performance and social performance needed to be further improved. The fund performance of rural revitalization experienced four levels: average, medium, good, and excellent, and showed a reverse trend in 2018 and 2021. This study makes a quantitative and qualitative evaluation of rural revitalization by using the extension cloud theory, which provides a reference for the effective use of special funds, and also provides a sufficient scientific basis for the macroeconomic layout.
Publisher
World Scientific and Engineering Academy and Society (WSEAS)
Subject
Economics and Econometrics,Finance,Business and International Management
Reference35 articles.
1. Han S Z, Huang L H, Zhou Y Y, Liu Z L, Mixed chaotic FOA with GRNN to construction of a mutual fund forecasting model, Cognitive Systems Research, Vol. 52, No. 11, 2018, pp. 380-386.
2. Cremers K J M, Fulkerson J A, Riley T B, Benchmark discrepancies and mutual fund performance evaluation, Journal of Financial and Quantitative Analysis, Vol. 57, No. 2, 2022, pp. 543-571.
3. Basso B, Antle J, Digital agriculture to design sustainable agricultural systems, Nature Sustainability, Vol. 3, No. 4, 2020, pp. 254- 256.
4. Umarovna T M, A three-step strategy to develop the industrial economy in China through entrepreneurship and innovation, Researchjet Journal of Analysis and Inventions, Vol. 2, No. 6, 2021, pp. 152-156.
5. Liu J, Sengers P, Legibility and the legacy of racialized dispossession in digital agriculture, Proceedings of the ACM on Human-Computer Interaction, Vol. 5, No. 2, 2021, pp. 1-21.