Economic analysis of spillover effects of an integrated pest management (IPM) strategy for suppression of mango fruit fly in Kenya

被引:23
作者
Githiomi, Caroline [1 ,2 ]
Muriithi, Beatrice [2 ]
Irungu, Patrick [1 ]
Mwungu, Chris M. [2 ,3 ]
Diiro, Gracious [2 ]
Affognon, Hippolyte [4 ]
Mburu, John [1 ]
Ekesi, Sunday [2 ]
机构
[1] Univ Nairobi, POB 29053, Nairobi, Kenya
[2] Icipe, POB 30772-00100, Nairobi, Kenya
[3] Moi Univ Coll, Eldoret, Kenya
[4] West & Cent African Council Agr Res Dev CORAF, 7 Ave Bourguiba,BP 48, Dakar, Senegal
关键词
Fruit fly; Integrated pest management; Cross-commodity spillover effect; Kenya; Africa; BACTROCERA-INVADENS DIPTERA; PROPENSITY-SCORE; AGRICULTURAL TECHNOLOGY; TEPHRITIDAE; ADOPTION; HOST; IMPACT; IDENTIFICATION; ESTIMATOR; DIFFUSION;
D O I
10.1016/j.foodpol.2019.03.006
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
The International Centre of Insect Physiology and Ecology (icipe) recently developed and disseminated an integrated pest management (IPM) strategy to suppress the invasive oriental fruit fly species Bactrocera dorsalis in mango-growing communities in Africa. While the economic benefits of the strategy in mango production have been established, the cross-commodity benefits have not been assessed, despite evidence of the target fruit fly species' effect on a wide range of cultivated host crops. Using propensity score matching, we analysed data on 371 households obtained from a survey of an icipe project in Kenya and sought to determine whether applying an IPM strategy for fruit fly had a spillover effect on gross margins. We focused on four alternative cultivated hosts of B. dorsalis, namely avocado, pawpaw, citrus and banana. We found positive and significant cross-commodity spillover effects in respect of employing the IPM strategy for fruit fly targeting pawpaw and citrus, suggesting a wide scope for IPM investment in Kenya and other fruit-producing regions in sub-Saharan Africa.
引用
收藏
页码:121 / 132
页数:12
相关论文
共 72 条
[1]   Bounding a matching estimator: the case of a Norwegian training program [J].
Aakvik, A .
OXFORD BULLETIN OF ECONOMICS AND STATISTICS, 2001, 63 (01) :115-143
[2]  
Agurto M., 2015, ESTIMATING SHORT TER
[3]   The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan [J].
Ali, Akhter ;
Abdulai, Awudu .
JOURNAL OF AGRICULTURAL ECONOMICS, 2010, 61 (01) :175-192
[4]   Spillovers [J].
Alston, JM .
AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS, 2002, 46 (03) :315-346
[5]   Programme evaluation and spillover effects [J].
Angelucci, M. ;
Di Maro, V. .
JOURNAL OF DEVELOPMENT EFFECTIVENESS, 2016, 8 (01) :22-43
[6]  
Angelucci M., 2010, TECHNICAL NOTES INTE
[7]   Instrumental variables and the search for identification: From supply and demand to natural experiments [J].
Angrist, JD ;
Krueger, AB .
JOURNAL OF ECONOMIC PERSPECTIVES, 2001, 15 (04) :69-85
[8]  
Araji AA, 1995, J AGR RESOUR ECON, V20, P263
[9]   Goodness-of-fit tests for logistic regression models when data are collected using a complex sampling design [J].
Archer, Kellie J. ;
Lemeshow, Stanley ;
Hosmer, David W. .
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2007, 51 (09) :4450-4464
[10]  
Ariane Z., 2012, 8 AFR FARM MAN UNPUB