151 research outputs found

    Determinants and Welfare Impacts of Export Crop Cultivation - Empirical Evidence from Ghana

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    This paper investigates the determinants of farm households‟ participation in export cropping and the impact of export cropping on household welfare, using cross-sectional data obtained from the Ghanaian living standards survey 2005-6. Given the problem of selectivity bias that arise when households self-select into export cropping, we employ the full information maximum likelihood approach to analyze the participation decision, and generalized propensity matching approach to examine the welfare impacts of participation. The empirical results indicate that farmers facing lower transport costs and having better access to credit facilities are more likely to participate in export cropping. Estimates of the welfare impacts of export cropping generally reveal a positive relationship between engagement in export cropping and farm household welfare. However, a consideration of the impact of extent of export cropping shows a non-linear relationship with household welfare indicators, with per capita expenditures rising and poverty declining only at higher levels of export specialization.Export crops, Farm households, Household welfare, Poverty, Generalized propensity score, Crop Production/Industries, International Relations/Trade,

    Information acquisition and the adoption of improved crop varieties

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    Inadequate information on the benefits of and knowledge about innovative agricultural technologies continue to be a major constraint to technology adoption among smallholder farmers in developing countries. The low adoption of new technologies is one of the causes of low productivity and high poverty incidence among smallholder farmers, particularly in Africa. In this paper, I briefly review the literature on social networks and technology diffusion, and argue that the diffusion potential of social networks is underexplored. I then present results from two empirical studies on the impact of social networks on the adoption of improved crop varieties in Ghana and Ethiopia. The results reveal that farmers' peer adoption decisions and experiences, as well as information from trained development agents positively and statistically influence their adoption decisions. I also find that network structural characteristics such as lower segmentation within networks, high credibility of the information, and high effectiveness and efficiency of the amount of information flow tend to improve information acquisition and speed up diffusion of improved crop varieties

    Empirical Analysis of Price Setting and Quantity Surcharges in the German Food Sector

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    This study examined the incidence and determinants of quantity price discounts and quantity price surcharges in the German food sector through a bivariate probit, using recent consumer scanner survey data. Selectivity bias was corrected for in estimating the degree of quantity price surcharge and quantity price discount, using Heckman's procedure. The findings reveal that almost 10% of the investigated products attract higher unit prices for larger package sizes, although the extent of price surcharges varied among product categories. The number of package sizes, the average package size, packaging form, storage form, as well as the price image of a product, were found to be significantly related to the probability and degree of quantity price surcharges and quantity price discounts.Consumer/Household Economics,

    The Adoption of Water Conservation and Intensification Technologies and Farm Income: A Propensity Score Analysis for Rice Farmers in Northern Ghana

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    This study uses cross-sectional data of 342 small-scale lowland rice farmers in Northern Region of Ghana to analyze the impact of the adoption decision of bund construction and seed dibbling on net returns, input demand and output supply. Matching was conducted based on Mahalanobis distance combined with propensity score. Balancing tests by checking the mean standardized absolute bias in the matched sample were conducted as well as sensitivity analysis to check for hidden bias due to unobservable selection. The empirical results of impact assessment using propensity score matching controlling for self-selection bias suggest that input demand is significantly higher for adopters of bunds, but not statistically different for adopters and non-adopters of dibbling seed. However, output supply and net returns were not found to be statistically different for adopters and non-adopters of bunds. Adopters of dibbling were found to have higher output supply while no statistically significant difference was found for net returns of adopters and non-adopters of dibbling. The results were found to be relative insensitive to hidden bias.Propensity score matching, evaluation, sensitivity analysis, Rosenbaum bounds, water conservation methods, bunds, rice production, Crop Production/Industries, Farm Management,

    Contribution of Economics to Design of Sustainable Cattle Breeding Programs in Eastern Africa: A Choice Experiment Approach

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    Although livestock forms a very important component of the livelihoods of rural populations of developing countries, productivity remains very low. Livestock keepers are beset by various constraints. In sub-Saharan Africa, cattle are exposed to a number of tropical diseases and other environmental stresses. Breed improvement programs provides key entry points for increasing productivity in cattle populations, especially those plagued by animal diseases. However, breed improvement programs have tended to focus on single, market-driven production traits in isolation of broader livestock system functions. This potentially leads to genotypes that are not well adapted to the environment and not suitable for performing the multiple roles of cattle in developing countries. In order to design a sustainable breed improvement program, farmer preferences for cattle traits need to be integrated into the breeding objective. To explore preferences for cattle traits by cattle keepers, data are used from a choice experiment household survey from a sample of 507 cattle keeping households in trypanosomosis challenge areas in Kenya and Ethiopia. A multinomial logit and mixed logit models are applied to estimate the economic values of preferred cattle traits. The results show existence of preference heterogeneity for cattle traits based on cattle production systems. Further, the results suggest that important traits in developing breed improvement programs should include trypanotolerance, fitness to traction, drought tolerance and fecundity, drawing implications on conservation of breeds which possess these traits.Choice experiment, Cattle production system, Trait preferences, Trypanotolerance, Livestock Production/Industries, D12, D60, C35,

    An empirical investigation of short and long-run agricultural wage formation in Ghana

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    This paper investigates empirically the factors that influence real agricultural wage rates in Ghana, based on 1957 to 1991 data. The Johansen cointegration framework is used to examine long-run relationships among agricultural and urban wage rates, the domestic terms of trade between agriculture and non-agriculture, urban unemployment, capital stock in agriculture and the size of the rural population. An error correction model is then used to investigate short-run dynamic relationships among the variables. The results show that: (1) there is only one stable equilibrium relationship among agricultural wage rates and their determinants in the long-run; (2) a 1 percent change in the domestic terms of trade between agriculture and non-agriculture leads to a 0.48 percent change in the real agricultural wage rate in the short-run and a 0.83 percent change in the long run; (3) the analysis suggests a one-time and one way upwards structural shift of 3.6 percent in real agricultural wages during the 1980s.Income Ghana. ,Agriculture Economic aspects Ghana. ,

    Do Egocentric information networks influence technical efficiency of farmers? Empirical evidence from Ghana

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    We investigate the impact of farmers’ egocentric information network on technical efficiency and its distribution in the network, using observational data of 600 farmers from northern Ghana. We exploit community detection algorithms to endogenously identify homogeneous network communities with known structures to account for spatial heterogeneity, in a spatial stochastic frontier model that controls for social selection bias. The empirical results reveal that at the global network level, farmers’ technical efficiency strongly correlate with that of farmers in their egocentric networks. Our findings also show that farmers who are technically less efficient tend to depend on the more efficient farmers in their networks to improve efficiency. We further find that estimating spatial dependence of technical efficiency without accounting for spatial heterogeneity can lead to underestimation of technical efficiency of high (efficiency score >0.6) performing farmers, while overestimating that of medium (efficiency scores between 0.36–0.5) and low (efficiency scores between 0.1–0.35) performing farmers. The findings suggest that identifying central farmers in egocentric networks and improving their technical knowledge in a farmer-to-farmer extension organization, can contribute to improving the productivity of many farmers

    Leveraging regional growth dynamics in African agriculture

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    This study focuses on public investments and policy reforms for leveraging growth spillovers at the Africa regional level. It reviews first the theory and evidence of knowledge and growth spillovers generally and second the evidence in the African context. Given the limited and scattered evidence of actual past spillovers, it reviews recent ex ante simulations using partial and general equilibrium models to stress the potential for spillovers from greater cooperation in agricultural research, and from trade liberalization, policy harmonization and investments in infrastructure. The results show that permitting greater crossborder transfers and adopting improved technologies could have large spillover multiplier effects on overall economic welfare in the region. And simply reducing African countries’ trade barriers and improving cross-border transport could increase agricultural incomes by as much as 10%. These two examples confirm that regional cooperation in agricultural research and harmonization and liberalization of regional trade systems are two important areas that have yet to be optimally harnessed to generate larger spillovers and enhance regional economic take-off.Sub-Saharan Africa, Regional cooperation, Spillovers, Agricultural development, International Development,

    Property rights and investment in agriculture: Evidence for Ghana

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    This article develops a theoretical framework to examine the relationship between land tenure agreements and households’ investment in land improvement and conservation measures. It then analyzes this relationship with a multivariate probit model based on a survey data from a sample of 560 plots belonging to 246 farmers from 6 villages in the Brong-Ahafo region of Ghana. A major hypothesis tested is that investment in productivity enhancing and conservation techniques are influenced by land tenure systems. The theoretical analysis and empirical results generally reveal that land tenure differences significantly influence farmers’ decisions to invest in land improvement and conservation measures. Furthermore, reduced-form productivity regressions show that tenure differences do affect land productivity.Land tenure; property rights; investment; optimal control; multivariate probit
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