Abstract:Few empirical studies of supply response using the profit function have accounted for technical inefficiency. Using farm-level panel data from Ethiopia, this study examines the effect of incorporating technical inefficiency in estimating the supply response of peasant farmers. Two systems of output supply and input demand equations are estimated and compared: the conventional model in which technical efficiency is assumed and another in which technical inefficiency is explicitly incorporated. The model with te… Show more
“…For an extensive report on pro‐poor policies in Ethiopia and the role of agriculture, aid and agency in poverty reduction in the 1990s, see World Bank (2005). Detailed analysis of performance of agriculture during this period is found in Abrar et al (2004) and Abrar and Morrissey (2006).…”
The authors make two contributions to the debate on aid-effectiveness, illustrating that for impact on poverty what matters is not just the level but also the composition and stability of aid. One specific implication of this for aid policy is that aid most effectively reduces poverty if it supports public (and other) expenditures which are supportive of agricultural development. Regression analysis confirms that these are not only direct expenditure on agriculture, but also on education and infrastructure, and military expenditure has a negative impact. Three factors appear to be particularly conducive to the development of stable pro-poor expenditure patterns (and in particular pro-agriculture expenditure patterns). These are expenditure strategies which protect the poor against risk, the development of stable relations between governments and aid donors, and long-term political commitment to pro-poor strategies by government. The argument is pursued partly by panel-data econometric analysis of developing countries as a whole, and partly by case studies of sustained and non-sustained green revolutions in heavily aid-dependent countries in Africa. Copyright � 2006 The Authors; Journal compilation � 2006 Blackwell Publishing Ltd.
“…For an extensive report on pro‐poor policies in Ethiopia and the role of agriculture, aid and agency in poverty reduction in the 1990s, see World Bank (2005). Detailed analysis of performance of agriculture during this period is found in Abrar et al (2004) and Abrar and Morrissey (2006).…”
The authors make two contributions to the debate on aid-effectiveness, illustrating that for impact on poverty what matters is not just the level but also the composition and stability of aid. One specific implication of this for aid policy is that aid most effectively reduces poverty if it supports public (and other) expenditures which are supportive of agricultural development. Regression analysis confirms that these are not only direct expenditure on agriculture, but also on education and infrastructure, and military expenditure has a negative impact. Three factors appear to be particularly conducive to the development of stable pro-poor expenditure patterns (and in particular pro-agriculture expenditure patterns). These are expenditure strategies which protect the poor against risk, the development of stable relations between governments and aid donors, and long-term political commitment to pro-poor strategies by government. The argument is pursued partly by panel-data econometric analysis of developing countries as a whole, and partly by case studies of sustained and non-sustained green revolutions in heavily aid-dependent countries in Africa. Copyright � 2006 The Authors; Journal compilation � 2006 Blackwell Publishing Ltd.
“…(3) The effects of inefficiency as an explanatory variable on supply response using a profit function approach (Abrar and Morrissey 2006), and estimate and compare inefficiency from stochastic frontier analysis (SFA) with ordinary least square (OLS) during 1994 to 2004 (Bachewe, 2009). This paper covers a longer time (1994 -2009) than Bachewe (2009).…”
In Ethiopia, agricultural production and productivity are very low, and hence increase in production and productivity are vital to meet increasing food demand. This study identifies and quantifies the main sources of productivity growth in Ethiopian agriculture using the translog (TL) stochastic input distance function and the Ethiopian Rural Household Survey (ERHS) panel dataset. The true fixed effects (TFE) panel data estimator is used to separate inefficiency effects from observed and unobserved heterogeneity. The parametric Malmquist productivity index (MPI) is used to decompose total agricultural growth into three major sources. The average technical efficiency score was 0.875; this finding indicates that on average a farmer produces 87.5% of the value of the output that is produced by the most efficient farmer using the same technology and inputs. This implies that they can reduce the inputs required to produce the average output by 12.5% if their farming operation becomes technically efficient. MPI shows that the average annual productivity growth was 17.9% between 1994 and 2009. Further decomposition of the index shows that scale efficiency change is the most important source of this growth, and accounts for about 14.5%. Technological improvement accounts for approximately 4.8% while the contribution of technical efficiency change is negative, leading to an annual productivity decline of 1.3%. This finding suggests that increasing productivity is possible via improving these components by improving training to the farmers, extension services, research and development, and agronomic practices.
“…Particularly in Africa, some efficiency studies used to raise policy debates on the performance of the agricultural sector (Abro et al, 2014; Abrar and Morrissey, 2006; Alene and Hassan, 2006; Arega, 2010; Croppenstedt and Demeke, 1997; Haji, 2007). Results have been mixed and inconsistent across different modelling approaches and prevailing agro-ecological conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Some studies have even reported conflicting results from the same data set. For instance, using Ethiopian Rural Household Survey data, different authors (see Abrar and Morrissey, 2006; Abro et al, 2014) estimated different levels of TE of Ethiopian farmers. There are also inconsistencies in the theoretical relationships between TE and its determinants.…”
This article investigates whether study-specific attributes account for systematic variations in reported technical efficiency (TE) scores in crop production. We conducted a meta-regression analysis using mean TE (MTE) estimates from primary frontier studies of Ethiopian crop sub-sector over the period 1991-2015. The estimated MTE of 66% indicates a capacity to increase efficiency in crop production. Results from a fractional outcome regression model revealed that reported efficiency estimates vary substantially across studies and agro-ecologies. We found that reported efficiency estimates are influenced by the frontier methodology used, the functional form assumed, assumptions about technology representation, the estimated dimension of the model, output aggregation and the publication outlet. We show that reported efficiency estimates are sensitive to variations in agro-ecologies. We argue for the need to consider differences in agro-ecologies when estimating TE because failure to account for this may bias efficiency estimates.
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