The structural transformation of African agriculture and rural spaces: introduction to a special section†

This article briefly introduces a special section on the structural transformation of African agriculture and rural spaces. The five papers that comprise this special section all draw on household‐level microdata to explore important aspects of the salient changes taking place in the world's most agrarian and poorest continent.     

Agricultural technology adoption and child nutrition enhancement: improved maize varieties in rural Ethiopia

Adoption of improved crop varieties can lead to multiple benefits to farm households, including increased productivity, incomes, and food consumption. However, possible impacts of adoption on child nutrition outcomes are rarely explored in the literature. This article helps bridge this gap through an impact assessment of the adoption of improved maize varieties (IMVs) on child nutrition outcomes using a recent household survey from rural Ethiopia. The conceptual linkage between IMV adoption and child nutrition is first established using an agricultural household model. Instrumental variable estimation suggests the overall impacts of adoption on child height‐for‐age and weight‐for‐age z‐scores to be positive and significant. Quantile instrumental variable regressions further reveal that such impacts are largest among children with poorest nutrition outcomes. Finally, by combining a decomposition procedure with system of equations estimation, it is found that the increase in own‐produced maize consumption is the major channel through which IMV adoption affects child nutrition.     

Does Schooling Promote Economic Growth?

Abstract: This paper revisits the debate on schooling and economic growth with particular reference to the case of sub‐Saharan Africa. Following the endogenous growth model developed by Lucas (1988) that considers human capital as one factor of production and schooling as a means of human capital accumulation, two results of schooling are explicitly stated: accumulation of privately owned and publicly owned human capital. By developing a growth estimating equation containing these two types of schooling results from the model and confronting it with empirical data, the hypothesis that schooling has got growth effect is tested. The analytic result suggests that in the indicated economies, for the period covered by the study (1966–2000), schooling that leads to accumulation of publicly owned human capital is associated with per capita income growth. Likewise, the analysis provides supporting evidence for the argument that primary schooling level is more associated with growth than other levels of schooling.     

Analysis of Farmers' Preferences for Development Intervention Programs: A Case Study of Subsistence Farmers from East Ethiopian Highlands

Abstract: The aim of this paper is to better understand farmers' perception of the relevance of different development intervention programs. Farmers' subjective ranking of agricultural problems and their preference for development intervention are elicited using a stated preference method. The factors influencing these preferences are determined using a random utility model. The study is based on a survey conducted in the Hunde‐Lafto area of the East Ethiopian Highlands. Individual interviews were conducted with 145 randomly selected farm households using semi‐structured questionnaires. The study suggests that drought, soil erosion and shortage of cultivable land are high priority agricultural production problems for farmers. Low market prices for farm products and high prices of purchased inputs also came out as major problems for the majority of farmers. Farmers' preferences for development intervention fall into four major categories: market, irrigation, resettlement, and soil and water conservation. Multinomial logit analysis of the factors influencing these preferences revealed that farmer's specific socio‐economic circumstances and subjective ranking of agricultural problems play a major role. It is also shown that preferences for some interventions are complementary and need to be addressed simultaneously. Recognition and understanding of these factors, affecting the acceptability of development policies for micro level implementation, will have a significant contribution to improve macro level policy formulation.     

Adoption and impacts of sustainable intensification practices in Ghana

Sustainable agricultural intensification requires the use of multiple agricultural technologies in an integrated manner to enhance productivity while conserving the natural resource base. This study analyses the adoption and impacts of sustainable intensification practices (SIPs) using a dataset from Ghana. A multivariate probit (MVP) model was estimated to assess the adoption of multiple SIPs. Moreover, we used a multivalued semi-parametric treatment effect (MVTE) model to estimate the effects of adopting multiple SIPs on maize productivity. The MVP model results show, among others, that access to market, capital, and information/knowledge would enhance the adoption of SIPs. The MVTE model results show that a higher number of SIPs is associated with higher productivity which is more visible when commercial inputs are used in combination with cultural practices. These results have the following policy implications. First, they imply that good rural infrastructure and agricultural services such as rural road network, village-level input delivery system, input credit, and multiple information/knowledge sharing approach (instead of the conventional singular formal information/knowledge sharing approach) can enhance adoption. Second, the results suggest that promoting an integrated use of technologies, instead of a single technology, would have a positive impact on farm productivity and farm household income.     

Risk aversion,cooperative membership,and path dependences of smallholder farmers in Ethiopia

Smallholder farmers in Sub‐Saharan Africa often mitigate production risks through cooperative membership: institutionalized arrangements where they pool resources and collectively manage production and marketing chains. Cooperative membership has a significant advantage: it cushions detrimental effects of external forces, placing a premium on a risk‐seeking attitude (experimenting and innovating), which can yield greater accumulation. However, cooperatives are self‐selective institutions: relatively better‐endowed farmers, who are usually less risk‐avoidant than poorer ones (a consequence of their broader material bases), tend to be overrepresented. These two realities complicate the causal assessment of the relationships between risk attitudes, farmers’ socioeconomic status, and cooperative membership that is essential to comprehend the role of cooperatives in local capital accumulation. To help resolve this thorny analytical problem, an experimental study was carried out in eastern Ethiopia—a risky production environment where cooperatives feature prominently and relatively affluent farmers exist alongside poorer ones. It unveils the working of specific path dependences: poorer cooperative members are less risk seeking than nonmembers, but at an interval much less than that observed for affluent farmers. For development policies, this suggests that a greater payoff can be expected from investing in farmers’ material bases than from further improving cooperative membership.     

Technology adoption under seed access constraints and the economic impacts of improved pigeonpea varieties in Tanzania

Dry‐land legumes, well adapted to drought‐prone areas, have largely been neglected in the past despite the good opportunities they offer for income growth and food (and nutritional) security for the poor. This study evaluated the adoption and impact of two farmer and market‐preferred and disease‐resistant pigeonpea varieties that were developed and promoted in semi‐arid Tanzania. The new varieties were resistant to fusarium wilt, a fungal disease devastating the crop. However, farmers wanting to adopt new varieties did not adopt due to seed access constraints and under‐developed seed delivery systems. Adoption of new varieties is therefore analyzed using an augmented double hurdle model that allows estimating variety adoption conditional on seed access thresholds accounting for the additional information on sample separation. The study identifies the crucial role of seed access (local supply), extension, education, participatory decision making, capital, and household assets in determining adoption. The social economic benefits of the technology and policies for improved seed access were further analyzed using the extended economic surplus method (DREAM model). Even under restrictive assumptions, overall discounted benefits were found to be quite attractive, indicating the need for additional efforts to scale‐up the success story. Analysis of changes in research benefits from relaxing the seed access constraint showed that net gains would increase by up to 30% if farmer access to improved seeds can be assured. Smallholder farmers are the major beneficiaries along with consumers and rural net‐buyers who gain from productivity‐induced lower market prices.     

China and India's Growth Surge: Is it a curse or blessing for Africa? The Case of Manufactured Exports

Abstract: In this paper, we address two major questions. First, the question of whether China and India are displacing the African manufacturing export from the third market. Second, whether there is an evidence of shifting comparative advantage from China and India to Africa. We employed a gravity model with a panel data using 13 African exporters of clothing and accessories for the period 1995–2005 to answer the first question. To answer the second question, we used a flying‐geese model and estimated Spearman's rank correlation coefficients on indices of the revealed comparative advantage vectors of the African exporters and China and India for the same period. Both the gravity and flying‐geese models predicted similar outcomes. We found that there is strong evidence that China has been displacing African manufactures from the third market while India has been complementing it in the early years of the study. However, the overall third market impact of China and India has been that of complementarity in the later years of the study period. This result is found to vary across countries. Furthermore, we found evidence of shifting comparative advantage from China and India to Africa as the flying‐geese theory predicts, South Africa being the leading goose followed by Kenya. The major implication of the study is that, in the world where China and India are reshaping the global economic order dynamically, the outcomes of the traditionally received wisdom of trade liberalization and industrialization policies through export promotion may be uncertain and requires strategic thinking.     

Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia

This paper evaluates the potential impact of adoption of improved legume technologies on rural household welfare measured by consumption expenditure in rural Ethiopia and Tanzania. The study utilizes cross-sectional farm household level data collected in 2008 from a randomly selected sample of 1313 households (700 in Ethiopia and 613 in Tanzania). The causal impact of technology adoption is estimated by utilizing endogenous switching regression. This helps us estimate the true welfare effect of technology adoption by controlling for the role of selection problem on production and adoption decisions. Our analysis reveals that adoption of improved agricultural technologies has a significant positive impact consumption expenditure (in per adult equivalent terms) in rural Ethiopia and Tanzania. This confirms the potential role of technology adoption in improving rural household welfare as higher consumption expenditure from improved technologies translate into lower poverty, higher food security and greater ability to withstand risk. An analysis of the determinants of adoption highlighted inadequate local supply of seed, access to information and perception about the new cultivars as key constraints for technology adoption.     

Estimating Input Complementarities with Unobserved Heterogeneity: Evidence from Ethiopia

The level of technology adoption is often characterised as low in Africa. Recent evidence, however, points to the coexistence of substantial heterogeneity across farm households and the lack of a suitable mix of inputs for farmers to take advantage of input complementarities. We use a random coefficients multivariate probit model to quantify the complementarities between agricultural inputs and alternative forms of unobserved heterogeneity effects in modeling farmers' technology adoption decisions. The empirical analysis reveals that, conditional on various types of unobserved heterogeneity effects, farmers' technology adoption decisions exhibit strong complementarity for some inputs. The analysis also reveals substantial unobserved heterogeneity effects. We show that ignoring these behavioural features (unobserved heterogeneity and input complementarity) has important implications in quantifying the effect of some policy interventions that are meant to facilitate technology adoption. In particular, ignoring these features leads to significant overestimation of the effectiveness of extension services.