Title: Hotspot analysis of rural inclusive finance based on keyword co-occurrence clustering

Authors: Mei Zhang; Huihui Su; Jinghua Wen

Addresses: Department of Information Engineering, Information Institute, GUI Zhou University of Finance and Economics, Guiyang, 550025, China ' Department of Information Engineering, Information Institute, GUI Zhou University of Finance and Economics, Guiyang, 550025, China ' Department of Information Engineering, Information Institute, GUI Zhou University of Finance and Economics, Guiyang, 550025, China

Abstract: This paper uses the literature on rural inclusive finance in China Knowledge Network (CNKI) to analyse the research hotspot of rural inclusive finance in China. It uses a method of co-word analysis to construct a matrix, and it uses network knowledge maps, statistical product and service solutions (SPSS) cluster analysis and multi-dimensional scale analysis to study the connections and meanings between various keywords. By classifying and observing data information, we find: precise poverty alleviation and inclusive finance were combined; rural inclusive finance under digital technology is bound to become the current new trend in the development of financial services. It is suggested that rural inclusive finance should focus on the various businesses of rural financial service institutions in order to increase farmers' income and promote sustainable economic development.

Keywords: rural inclusive finance; co-word analysis; knowledge map; cluster analysis; co-occurrence clustering; China National Knowledge Infrastructure; CNKI; statistical product and service solutions; SPSS.

DOI: 10.1504/IJADS.2022.120296

International Journal of Applied Decision Sciences, 2022 Vol.15 No.1, pp.100 - 116

Received: 20 Aug 2020
Accepted: 04 Jan 2021

Published online: 13 Jan 2022 *

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