Measuring the financial efficiency of agricultural cooperatives in South Africa: an application of the Simar-Wilson methodology

被引:6
作者
Yobe, C. L. [1 ]
Ferrer, S. R. D. [1 ]
Mudhara, M. [1 ]
机构
[1] Univ KwaZulu Natal, Sch Agr Earth & Environm Sci, Private Bag X01, ZA-3209 Pietermaritzburg, South Africa
关键词
Agricultural cooperatives; financial efficiency; bias-corrected data envelopment analysis; Simar-Wilson methodology; South Africa; MICROFINANCE INSTITUTIONS; DOUBLE-BOOTSTRAP; TRUNCATED REGRESSION; TECHNICAL EFFICIENCY; PERFORMANCE; 2-STAGE; PRODUCTIVITY; GOVERNANCE; ACT;
D O I
10.1080/03031853.2020.1761845
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
Post-1994, the South African government has favoured cooperatives over other types of corporate entities in its rural development programmes. An improved understanding of the key drivers underpinning the performance of cooperatives is important for informing government programmes and policies that target cooperatives. This study examined the financial efficiency, and its determinants, of 387 agricultural cooperatives in South Africa, using the Simar-Wilson methodology. Bias-corrected Data Envelopment Analysis estimates for financial efficiency were obtained in the first stage. The results indicated that many agricultural cooperatives are relatively inefficient, compared to the three best-performing cooperatives on the efficient boundary. In the second stage, a double bootstrap truncated regression model was used to obtain bias-corrected scores that excluded the best-performing cooperatives. The statistically significant efficiency determinants identified from the analysis were the age and size of the cooperative, the gender of the principal manager of the cooperative, its governance and the training indicators. The observed relationship between governance and efficiency may be attributed to institutions that prioritise non-financial goals by being relatively more willing to compromise on governance quality. Furthermore, deviations from sound institutional control mechanisms are more likely to emerge in cooperatives that have weak institutional and organisational arrangements.
引用
收藏
页码:269 / 286
页数:18
相关论文
共 31 条
[1]  
[Anonymous], 2002, PRINCIPAL COMPONENT
[2]   Measuring the economic efficiency of airports: A Simar-Wilson methodology analysis [J].
Barros, Carlos Pestana ;
Dieke, Peter U. C. .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2008, 44 (06) :1039-1051
[3]   The Impact of Governance and Institutional Quality on MFI Outreach and Financial Performance in Sub-Saharan Africa [J].
Barry, Thierno Amadou ;
Tacneng, Ruth .
WORLD DEVELOPMENT, 2014, 58 :1-20
[4]   Impact of gender and governance on microfinance efficiency [J].
Bibi, Uzma ;
Balli, Hatice Ozer ;
Matthews, Claire D. ;
Tripe, David W. L. .
JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2018, 53 :307-319
[5]   Gender and Microfinance Performance: Why Does the Institutional Context Matter? [J].
Boehe, Dirk Michael ;
Cruz, Luciano Barin .
WORLD DEVELOPMENT, 2013, 47 :121-135
[6]   Institutional and governance factors influencing the performance of selected smallholder agricultural cooperatives in KwaZulu-Natal [J].
Chibanda, M. ;
Ortmann, G. F. ;
Lyne, M. C. .
AGREKON, 2009, 48 (03) :293-315
[7]   The future of US agricultural cooperatives: A neo-institutional approach [J].
Cook, ML .
AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 1995, 77 (05) :1153-1159
[8]   The impact of training on productivity and wages: Evidence from british panel data [J].
Dearden, Lorraine ;
Reed, Howard ;
Van Reenen, John .
OXFORD BULLETIN OF ECONOMICS AND STATISTICS, 2006, 68 (04) :397-421
[9]   Data envelopment analysis, truncated regression and double-bootstrap for panel data with application to Chinese banking [J].
Du, Kai ;
Worthington, Andrew C. ;
Zelenyuk, Valentin .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2018, 265 (02) :748-764
[10]   Two-stage DEA-Truncated Regression: Application in banking efficiency and financial development [J].
Fernandes, Filipa Da Silva ;
Stasinakis, Charalampos ;
Bardarova, Valeriya .
EXPERT SYSTEMS WITH APPLICATIONS, 2018, 96 :284-301