Efficiency analysis of goat producers in Ghana: An instrumental variable approach

被引:0
|
作者
Twumasi, Martinson Ankrah [1 ]
Jiang, Yuansheng [2 ]
Danquah, Frank Osei [3 ]
Frempong, Lady Nadia [4 ]
Ankrah, Ernest Kwarko [4 ]
Dogbe, Bright Senyo [4 ]
机构
[1] Sichuan Agr Univ, Coll Econ, Agr Econ, Chengdu, Peoples R China
[2] Sichuan Agr Univ, Coll Econ, Chengdu, Peoples R China
[3] Sichuan Agr Univ, Coll Management, Agr Management, Chengdu, Peoples R China
[4] Sichuan Agr Univ, Agr Management, Chengdu, Peoples R China
来源
CUSTOS E AGRONEGOCIO ON LINE | 2020年 / 16卷 / 02期
关键词
Technical efficiency; DEA; Goat Production; Ghana; OFF-FARM INCOME; TECHNICAL EFFICIENCY; MANAGEMENT; REGION; TURKEY;
D O I
暂无
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
Agriculture and economic growth nexus is a phenomenon that needs critical attention. In Ghana, about 70% of the population derives their livelihood from crop and livestock production. Therefore, exploring the factors that influence livestock production efficiency is important. This study investigates the technical efficiency (TE) of goat farmers in Ghana using survey data collected from the Upper West region. An instrumental variable (IV) and data envelope analysis (DEA) are employed to analysis the goat farmers' TE. The study results revealed that the majority of the goat farmers are producing below the frontier with average technical efficiency of 0.724, 0.313 and 0.431 for variable returns to scale (VRS), constant returns to scale (CRS) and scale efficiency SE respectively. The role of variables such as access to credit, access to extension officers, years of farming experience, being an association member and off-farm income are significant in achieving higher TE. Also, insufficient capital, inadequate credit facilities and extension officers are the three major problems confronting farmers in the study areas. Our findings provide policy implications to curtail credit constraints and enhance the artisanal fishermen TE.
引用
收藏
页码:345 / 360
页数:16
相关论文
共 50 条
  • [31] Estimating the elasticities of gasoline demand: an instrumental variable approach
    Liu, Weiwei
    APPLIED ECONOMICS LETTERS, 2016, 23 (16) : 1153 - 1156
  • [32] An instrumental variable approach for rigid industrial robots identification
    Janot, Alexandre
    Vandanjon, Pierre Olivier
    Gautier, Maxime
    CONTROL ENGINEERING PRACTICE, 2014, 25 : 85 - 101
  • [33] Women in Politics and Child Labor: an Instrumental Variable Approach
    Guvercin, Deniz
    EUROPEAN JOURNAL OF DEVELOPMENT RESEARCH, 2020, 32 (04): : 873 - 888
  • [34] Public trust and collaborative governance: an instrumental variable approach
    Liu, Yixin
    PUBLIC MANAGEMENT REVIEW, 2024, 26 (02) : 421 - 442
  • [35] Likelihood analysis of the binary instrumental variable model
    Ramsahai, R. R.
    Lauritzen, S. L.
    BIOMETRIKA, 2011, 98 (04) : 987 - 994
  • [36] Instrumental variable analysis of secondary pharmacoepidemiologic data
    Brookhart, M. Alan
    Wang, Philip S.
    Solomon, Daniel H.
    Schneeweiss, Sebastian
    EPIDEMIOLOGY, 2006, 17 (04) : 373 - 374
  • [37] Power calculator for instrumental variable analysis in pharmacoepidemiology
    Walker, Venexia M.
    Davies, Neil M.
    Windmeijer, Frank
    Burgess, Stephen
    Martin, Richard M.
    INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2017, 46 (05) : 1627 - 1632
  • [38] Sensitivity analysis and power for instrumental variable studies
    Wang, Xuran
    Jiang, Yang
    Zhang, Nancy R.
    Small, Dylan S.
    BIOMETRICS, 2018, 74 (04) : 1150 - 1160
  • [39] Instrumental Variable Analysis in Atmospheric and Aerosol Chemistry
    Rajput, Prashant
    Gupta, Tarun
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2020, 8
  • [40] Instrumental variable analysis in the presence of unmeasured confounding
    Zhang, Zhongheng
    Uddin, Md Jamal
    Cheng, Jing
    Huang, Tao
    ANNALS OF TRANSLATIONAL MEDICINE, 2018, 6 (10)