The Political Economy of Agricultural Extension Policy in Ethiopia: Economic Growth and Political Control

Berhanu, Kassahun; Poulton, Colin

doi:10.1111/dpr.12082

Cited by 105 publications

(92 citation statements)

References 8 publications

(4 reference statements)

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“…They also have political functions, such as mobilizing support and votes for the ruling party. Extension workers often work closely with limat budin (Cohen & Lemma, 2011;Birhanu, 2012). Hence, being in a position to involve in kebele administration with such kind of network system might increase the probability of participation in government sponsored extension program.…”

Section: Heckman Treatment Effect Modelmentioning

confidence: 99%

“…For instance, as explained in our assumption, development agents often work closely with development team who are the major components of the kebele structure established by the government. The development team has also political functions, such as mobilizing support and votes for the ruling party (Cohen & Lemma, 2011;Birhanu, 2012). Hence, it is not surprising that being in a position to involve in kebele administration increases the probability of participation in government sponsored extension program.…”

Section: Determinants Of Extension Program Participationmentioning

confidence: 99%

See 1 more Smart Citation

Effect of Agricultural Extension Program on Smallholders’ Farm Productivity: Evidence from Three Peasant Associations in the Highlands of Ethiopia

Elias¹,

Nohmi²,

Yasunobu³

et al. 2013

JAS

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This study evaluates the effect of agricultural extension program participation on farm productivity taking three case study kebeles (peasant associations) in Ethiopia. A total of 1112 plot-level data collected from 300 selected farm households, comprising of extension participants and non-participants, were used in the study. The study begins the estimation with simple Ordinary Least Square (OLS) method. To deal with the potential bias due to the existence of observed and unobserved characteristics, we employed Heckman Treatment Effect Model (HTEM) and Propensity Score Matching (PSM). The OLS result shows that extension participation increases farm productivity by about 6%. However, both HTEM and PSM clearly reveal the presence of selection bias in extension program participation which leads to underestimation of the OLS estimates. The participation could have increased farm productivity by up to 20% had it not been to the serious selection bias related to non-farming factors such as involvement in kebele administration, and wealth status of the participants observed during program placement. Our PSM analysis also verifies the positive effect of extension program participation on farm productivity. In conclusion, the extension program has a positive effect on farm productivity in the study area. However, its effect with its current structure and input could have tripled had there been no bias related to extension program participation. This result provides a valuable policy insight in which improving access to diversified and quality agricultural inputs are critically necessary for the participants on top of expanding the program to less resourceful farmers by avoiding any entry barriers in the future.

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Section: Heckman Treatment Effect Modelmentioning

confidence: 99%

Section: Determinants Of Extension Program Participationmentioning

confidence: 99%

Effect of Agricultural Extension Program on Smallholders’ Farm Productivity: Evidence from Three Peasant Associations in the Highlands of Ethiopia

Elias¹,

Nohmi²,

Yasunobu³

et al. 2013

JAS

View full text Add to dashboard Cite

show abstract

“…Prior to the analysis, variance inflation factor (VIF) test for continuous variables and contingency coefficient (CC) test for discrete variables were conducted to check whether there is multi-collinearty problem existed among the covariates according to (Gujarati 2004;Berhanu 2012). Similarly, whether there is problem of hetroscedasticity among the covariates, BreuschPagan/Cook-Weisberg "hottest" test was carried out according to (Wooldridge 2002).…”

Section: Discussionmentioning

confidence: 99%

The Impact of Village Poultry Technology Adoption on the Livelihood of Smallholder Farmers in the Central Oromia Region, Ethiopia

Tsadik¹,

Z²

2015

J. Anim. Prod. Adv.

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The study was conducted to assess the impact of village poultry technology adoption on smallholder farmers in central Oromia Region, Ethiopia.Using multi-stage random sampling method, 180 technology participants were selected for face to face interview. Structured questionnaire was employed to collect data. Propensity score matching (PSM) Logit model was used to test the impact of the technology. The study revealed that adopters were significantly benefited by 68.5% from the technology and could produce 101 more eggs per/layer, consumed 18 more eggs/year and got 168.65 Birr more income per layer/year as compared to non-adopters. In conclusion, improved chicken breeds intervention had positive impact on average treatment effect on treated (ATT) and average treatment effect (ATE) on study population. Except livelihood change, the significant differences between adopters and non-adopters on outcome variables were not due to hidden bias but due to the treatment effect of technology intervention.

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“…They also have political functions, such as mobilizing support and votes for the ruling party. Extension workers often work closely with limat budin (Cohen and Lemma, 2011;Birhanu, 2012). Hence, being in a position to involve in kebele administration with such kind of network system might increase the probability of participation in government sponsored extension program.…”

Section: Self-selection In To Agricultural Extension Program Participmentioning

confidence: 99%

“…For instance, as explained in our assumption, development agents often work closely with development team who are the major components of the kebele structure established by the government. The development team has also political functions, such as mobilizing support and votes for the ruling party (Cohen and Lemma, 2011;Birhanu, 2012). Hence, it is not surprising that being in a position to involve in kebele administration increases the probability of participation in government sponsored extension program.…”

Section: Psm Analysismentioning

confidence: 99%

THE EFFECT OF AGRICULTURAL EXTENSION SERVICE ON THE TECHNICAL EFFICIENCY OF TEFF (<i>ERAGROSTISTEF</i>) PRODUCERS

Elias

Nohmi

Yasunobu

et al. 2014

American Journal of Applied Sciences

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Teff (Eragrostistef) is a major staple food crop in Ethiopia, but smallholder teff production is characterized by persistently low average yield. A major government effort aimed at raising the productivity and competitiveness of smallholder agriculture in Ethiopia involved reforming and implementing agricultural extension service known as Participatory Demonstration and Training Extension System (PADETES). Therefore, this study investigates the effect of agricultural extension service and other factors on the Technical Efficiency (TE) of teff producers in northern Ethiopia. Using cross sectional data we compare TE level of teff producers who are participants and non-participants of Agricultural Extension (AE) program. We address self-selection in to AE program participation using propensity score matching method. Translog stochastic frontier production function is used for TE analysis. The empirical results reveal that, AE program participants' and non-participants' farms have an average TE of 72 and 71% respectively. Both groups of farms have considerable overall technical inefficiencies, suggesting the existence of immense potentials for enhancing production through more efficient use of available technology and resources. Determinants of TE are explained significantly by livestock ownership, credit and improved seed. Based on the results, we derive policy recommendations to improve farmers' teff production performance. These policy measures include the provision of extension services related to technical skill and farm management capacity of the farmers, demand driven livestock extension service, greater access to credit and increasing the availability, quality and adoption of improved seed.

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The Political Economy of Agricultural Extension Policy in Ethiopia: Economic Growth and Political Control

Cited by 105 publications

References 8 publications

Effect of Agricultural Extension Program on Smallholders’ Farm Productivity: Evidence from Three Peasant Associations in the Highlands of Ethiopia

Effect of Agricultural Extension Program on Smallholders’ Farm Productivity: Evidence from Three Peasant Associations in the Highlands of Ethiopia

The Impact of Village Poultry Technology Adoption on the Livelihood of Smallholder Farmers in the Central Oromia Region, Ethiopia

THE EFFECT OF AGRICULTURAL EXTENSION SERVICE ON THE TECHNICAL EFFICIENCY OF TEFF (<i>ERAGROSTISTEF</i>) PRODUCERS

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