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A DEA-model evaluation of the efficiency of peasant household credit investigation system in rural credit cooperatives A positive research in Hubei Province, China
Purpose – As a major agricultural province in central China, Hubei Province mainly carries out the
peasant household credit investigation system through rural credit cooperatives (RCCs). The purpose
of this paper is to evaluate the efficiency of the peasant household credit investigation system in Hubei
RCCs and provide some evidence and ideas to the formulation of relevant policies.
Design/methodology/approach – First, this paper briefly reviews the related literature of the
efficiency in credit investigation system; second, the paper gives a brief description of the data
envelopment analysis (DEA) model and designs the indicators for efficiency evaluation; third, the paper
accounts data sources and processing methods; and finally, the paper performs the empirical analysis
and draws a conclusion.
Findings – The paper finds that the efficiency of the resource allocation in both regions is unoptimistic,
the general efficiency is somewhat low, and it shows the trend of declination. The efficiency of pure
technology in two regions represents the adverse trend. Every year’s average scale efficiency in both
regions is higher than the pure technology efficiency.
Originality/value – The main contributions of this paper include the first use of DEA model
to practically evaluate the efficiency of credit investigation system based on 54 samples of RCCs in
Hubei Province and the horizontal and vertical comparisons of the results. The conclusions of this paper
not only make the efficiency of credit investigation system in the province’s 54 credit
cooperatives comparable but also has a great application value to the actual decision-making
departments in formulating credit policies, and each credit cooperative in further building the credit
investigation system according to its own conditions. Moreover, it has certain reference value to other
similar studies.
Keywords China, Credit, Loans, Rural economics, Co-operative organizations
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