Explaining gender differentials in agricultural production in Nigeria

This article uses data from the General Household Survey Panel 2010–2011 to analyze differences in agricultural productivity across male and female plot managers in Nigeria. The analysis utilizes the Oaxaca‐Blinder decomposition method, which allows for decomposing the unconditional gender gap into: (i) the portion caused by observable differences in the factors of production (endowment effect) and (ii) the unexplained portion caused by differences in returns to the same observed factors of production (structural effect). The analysis is conducted separately for the North and South regions, excluding the west of the country. The findings show that in the North, women produce 28% less than men after controlling for observed factors of production, while there are no significant gender differences in the South. In the decomposition results, the structural effect in the North is larger than the endowment at the mean. Although women in the North have access to less productive resources than men, the results indicate that even if given the same level of inputs, significant differences still emerge. However, for the South, the decomposition results show that the endowment effect is more important than the structural effect. Access to resources explains most of the gender gap in the South and if women are given the same level of inputs as men, the gap will be minimal. The difference in the results for the North and South suggests that policy should vary by region.     

Gender and agricultural productivity: implications of the Farm Input Subsidy Program in Malawi

Alleviating gender differences in agricultural productivity is vital for poverty reduction. While numerous studies suggest that gender differences in agricultural productivity are a result of female farmers having limited access to resources, few studies investigate the role of agricultural interventions in alleviating the constraints to input use and subsequently the gender gap in productivity. This study investigates whether there are gendered gains in agricultural productivity from participating in an input subsidy program and if these gains help reduce the gender gap. Using nationally representative data that is disaggregated at the plot level, this study analyzes the large‐scale voucher‐based Farm Input Subsidy Program in Malawi. Focusing on the total value of output per hectare, relationships are identified using weighted estimators, where the weights are constructed from propensity scores, and spatial fixed effects, to address the unobservable factors that may confound the relationship between program participation and productivity. The findings suggest that participation in the program improves agricultural productivity for both male and female farmers but it does not provide disproportionate help to female famers to overcome gender disparities in agricultural productivity. This suggests that female farmers face additional constraints to productivity apart from nonlabor input use.     

Explaining agricultural productivity growth: an international perspective

This article presents multi-output, multi-input total factor productivity (TFP) growth rates in agriculture for 88 countries over the 1970–2001 period, estimated with both stochastic frontier analysis (SFA) and the more commonly employed data envelopment analysis (DEA). We find results with SFA to be more plausible than with DEA, and use them to analyze trends across countries and the determinants of TFP growth in developing countries. The central finding is that policy and institutional variables, including public agricultural expenditure and proagricultural price policy reforms, are significant correlates of TFP growth. The most significant geographic correlate of TFP growth is distance to the nearest OECD country.     

Subsidies and agricultural productivity in the EU

This paper investigates the relationship between EU agricultural subsidies and agricultural labor productivity growth by estimating a conditional convergence growth model. We use more representative subsidy indicators and a wider coverage (panel data from 213 EU regions over the period 2004–2014) than have been used before. We find that, on average, EU's Common Agricultural Policy (CAP) subsidies increase agricultural labor productivity growth, but this aggregate effect hides important heterogeneity of effects of different types of subsidies. The positive effect on productivity comes from decoupled subsidies, that is, Pillar I decoupled payments and some Pillar II payments. Coupled Pillar I subsidies have the opposite effect: they slow down productivity growth.     

Big is efficient: Evidence from agricultural cooperatives in Ethiopia

In Ethiopia, there is a renewed interest in agricultural cooperatives as an institutional tool to improve the welfare of smallholder farmers. One of the pathways through which cooperatives benefit their members is scale economies. However, the establishment of cooperatives in Ethiopia seems to pay little attention to the size of the organizations. This article aims at investigating the effect of size on cost efficiency of agricultural cooperatives. More specifically, the purpose is to examine whether a single cooperative can serve a given number of farmers at a lower cost than two or more smaller cooperatives could. We employ the concept of cost subadditivity to compare the cost efficiency of large versus small cooperatives, and by extension unilateral actions. We estimate a flexible production technology using cross‐sectional cooperative‐level data. Findings show that costs would drop by 78% to 181% if farmers join hands in relatively large rather than small cooperatives.     

The impact of strengthening agricultural extension services on women farmers: Evidence from Ethiopia

This paper evaluates the effect of the Rural Capacity Building Project (RCBP), which aimed at promoting growth by strengthening the agricultural service systems in Ethiopia, and by making them more responsive to smallholders’ needs, in particular women farmers. We examine the gender‐differentiated impact of the RCBP using panel data on 1,485 geographically dispersed households in project and control kebeles. We find that women farmers’ access and satisfaction with extension services increased significantly immediately after the start of the project, but that effect did not last into the medium term. The project led to an increase in the adoption of high‐value crop farming, area of land cultivated, and economic participation of household members, benefiting male‐ and female‐headed households equally. Results point to the positive impact of incorporating women's needs and constraints in the design of the agricultural extension system. However, the project was not able to reduce the preexisting gender gap in agricultural outcomes.     

Economic development and the role of agricultural technology

In earlier debates on economic development, the agricultural sector's role was somewhat controversial. While dualistic models highlighted the importance of agriculture, the mainstream literature placed a greater emphasis on the creation of a modern industrial sector. Soon agriculture disappeared from the mainstream development literature to re‐emerge recently with a variety of multiple‐sector growth models emphasizing the key role of agriculture and specifically technology in agriculture. This article is an empirical cross‐country analysis of agricultural technology's role in economic development. Specifically, the hypothesis being tested is whether improvements in agricultural technology have a significant impact on long‐run economic growth. The results indicate that agricultural modernization has a positive effect on both measures of economic growth and human development.     

Geography of plant breeding systems,agroclimatic similarity,and agricultural productivity: evidence from Nigeria

Agroclimatic conditions and agricultural research and development (R&D) including plant breeding activities by the public sector are some of the most significant exogenous factors in the agricultural sector. However, the effects of the interactions between these two sets of factors on agricultural productivity have not been studied widely in developing countries, despite potentially important implications on their plant breeding strategies. Using three‐wave panel data of agricultural households in Nigeria and spatial data on various agroclimatic parameters, we show that agricultural productivity and technical efficiency at the agricultural household level is significantly positively affected by the similarity of agroclimatic conditions between locations where agricultural households are located, and locations where major plant breeding institutes are located. These results hold after controlling for various socioeconomic characteristics of these households, including their physical distances to the breeding institutes. Findings are robust across parametric and nonparametric specifications such as Data Envelopment Method, and after addressing potential endogeneity of agroclimatic similarity and agricultural inputs variables in the production function. Productivity effects due to the locations of plant breeding institutes and resulting agroclimatic similarity can be potentially sizable given Nigeria's past productivity growth speed.     

Sustainable agricultural intensification in forest frontier areas

The Lore Lindu region in Indonesia—as in many forest frontier areas in Southeast Asia—has experienced rapid deforestation due to agricultural expansion in the uplands, at the forest margins. This has resulted in aggravated problems of erosion and water availability, threatening agricultural productivity growth. At the same time, technical progress is promoting agricultural intensification in the lowlands. In this article, we examine how improved technologies for paddy rice cultivation in the lowlands have affected agricultural expansion and deforestation in the uplands. The question of a “forest‐saving” or “forest‐clearing” effect related to technical innovation is important from a sustainable development perspective and remains a controversial issue in the literature. We address this question for the Lore Lindu region with an empirical model in which expansion in the lowlands and the uplands is estimated simultaneously. We use data from an extensive village survey conducted in the region, combined with GIS data. To guide the empirical analysis, we develop a theoretical framework based on a Chayanov‐type agricultural household model. The model analyzes farmers' land allocation decisions, taking into account the lowland–upland dichotomy in the agricultural sector. The empirical findings, corroborated by the analytically derived results, show how technical progress for lowland production affects land use at the forest margins and how these effects depend on the factor‐intensity of the technology. The findings imply specific rural development policies for sustainable agricultural intensification in forest frontier areas.     

Gender and agriculture in sub‐Saharan Africa: introduction to the special issue

This special issue contributes to the literature on gender differences in sub‐Saharan African agriculture primarily by using new and innovative micro‐data. The first six articles have a strong focus on understanding the extent and drivers of gender differences in land productivity and use data from nationally representative household surveys that are implemented under the Living Standards Measurement Study‐Integrated Surveys on Agriculture (LSMS‐ISA) initiative. The LSMS‐ISA data are multi‐topic, with geo‐referenced household and plot locations, and information on production and identity of managers and owners at the plot level. The last two articles in the volume rely on in‐depth quantitative and qualitative case study data, which, in combination with the nationally representative data, allow for greater insights into the extent and correlates of gender differences in sub‐Saharan African agriculture. While there does seem to be persistent evidence of gender gaps, the studies find the sources of these gaps to vary within and across countries. This makes designing policies to address gender gaps more challenging, yet of crucial importance. What is clear is that the failure to directly and explicitly address the underlying causes of the disparities is likely to end up exacerbating the observed gender gaps.     

Isolation and agricultural productivity

This article examines the mechanisms that transmit isolation into productivity. In particular, we study the effect of isolation and transport infrastructure on welfare and agricultural productivity in the case of Madagascar. Madagascar is a good case study given the bad shape of its infrastructure and therefore the significant variation in isolation. Based on comprehensive household survey data combined with a census of communes, we discover a strong poverty–isolation relationship. Further we find the inverse relationship between agricultural productivity and isolation to be surprisingly strong. We isolate the following reasons why productivity might decline with isolation: (i) transportation‐induced transaction costs, (ii) the inverse relationship between plot size and productivity, (iii) increasing price variability and extensification onto less fertile land, and (iv) insecurity.     

ICT and agricultural productivity: evidence from cross-country data

This article carries out agricultural production function estimations, based on data for the period 1995–2000 on 81 countries, to present empirical evidence on the relationship between the adoption of information and communication technology (ICT) and agricultural productivity. It is found that new ICT has a significantly positive impact on agricultural productivity. The evidence suggests that the adoption of modern industrial inputs in agricultural production relies on the information and communication infrastructure. However, the empirical evidence from this study also suggests that new ICT could be a factor for the divergence between countries in terms of overall agricultural productivity. Not only do we find that the ICT adoption levels of the richer countries are much higher than those of the poorer countries, but also that returns from ICT in agricultural production of the richer countries are about two times higher than those of the poorer countries. A plausible explanation for the poorer countries' relatively low productivity elasticity of ICT is the lack of important complementary factors, such as a substantial base of human capital.     

Accounting for agricultural decline with economic growth in Taiwan

In this paper, we develop an empirical model to decompose the evolution of the agricultural share of GDP into three components: price changes, factor endowment changes and technological change. Our results suggest that relative prices have a positive but small influence on the share of agriculture in GDP in both the long‐run and the short‐run. An increase in capital per unit of labor, on the other hand, is associated with a smaller agricultural share. Technical change has been biased in favor of the agricultural sector but this effect has been swamped by the magnitude of the input effects, in particular, the changes in the capital‐labor ratio.     

Gender,control, and crop choice in northern Mozambique

Women play an important role in the agricultural production process in developing countries, yet their role in making decisions about what to grow and implications for household welfare remains poorly understood. In this article, I study women's empowerment in northern Mozambique as it relates to agriculture, considering in particular the factors associated with women managing the plots that they nominally control. Women control about 30% of the plots in the data, but only manage about 70% of those plots. Using a unique panel data set, I find that women are more likely to manage plots when households have had historic access to off‐farm labor, typically completed by men. When women manage plots, they tend to grow crops with less complicated production techniques and are less likely to grow the main area cash crop. However, conditional on historic access to off‐farm labor their farm incomes are the same as among men.     

Sharecropping efficiency in Ethiopia: threats of eviction and kinship

We tested a theoretical model with the Marshallian inefficiency (H1) and threat of eviction (H2) hypotheses having opposite effects on land productivity on sharecropped plots. The model also assumes that kinship contracts may eliminate or reduce the Marshallian inefficiency (H3) and threat of eviction (H4) effects on land productivity. Our empirical findings were consistent with H2 and H4 being true. We found higher land productivity on sharecropped plots than on share tenants' own plots and higher land productivity on sharecropped plots of nonkin than of kin tenants. The nature of the data allowed controlling for unobservable household characteristics through household fixed effects and for observable plot characteristics. Analyses with and without plot characteristics revealed that these findings were stronger with plot characteristics than without them. Based on the plausible assumption that observable plot characteristics are positively correlated with unobservable plot characteristics this strengthens our conclusion. The results are also supported by first-order stochastic dominance analysis. Sharecropped plots' output value distribution unambiguously dominated the output value distribution from share tenants' own plots. Nonkin sharecropped plots' output value distribution also first-order stochastically dominated the output value distribution from kin sharecrop plots.     

Ex post impacts of improved maize varieties on poverty in rural Ethiopia

Public agricultural research has been conducted in Africa for decades. While many studies have examined its aggregate impacts, few have investigated how it affects the poor. This paper helps fill this gap by applying a new procedure to explore the ex post impacts of improved maize varieties on poverty in rural Ethiopia. Plot‐level yield and cost changes due to adoption are first estimated using instrumental variable and marginal treatment effect techniques where possible heterogeneity is carefully accounted for. A backward derivation procedure is then developed to link treatment effect estimates with an economic surplus model to identify the counterfactual household income that would have existed without improved maize varieties. Poverty impacts are finally estimated by exploiting the differences between observed and counterfactual income distributions. Improved maize varieties have led to a 0.8–1.3 percentage drop of poverty headcount ratio and relative reductions of poverty depth and severity. However, poor producers benefit the least from adoption due to the smallness of their land holdings.     

Dynamics of rice prices and agricultural wages in the Philippines

Rice trade liberalization in the Philippines should decrease domestic rice prices impacting both agricultural wages and the welfare of agricultural wage earners. This study examines the short-run and long-run relationship between rice prices and agricultural wages in the Philippines using a neoclassical wage determination model. Three empirical frameworks are used—a cointegration/error correction framework, which assumes nonstationary variables in long-run equilibrium, a first difference model that assumes nonstationary variables but no long-run equilibrium, and an OLS framework that assumes the model variables are stationary. Conclusions are reasonably robust across the three empirical frameworks with wages adjusting positively to rice price changes with a short-run elasticity of 0.29 to 0.57, and a long-run elasticity of 0.70 to 1.0 in preferred models. An analysis of welfare implications suggests that although households that are heavily reliant on agricultural wages for income will be adversely affected by rice price decreases, other households will benefit.     

Agricultural technology and child labor: evidence from India

Child labor continues to be a major problem in developing countries, particularly in agricultural countries. The latest ILO global report points out that nine out of every ten child laborers is involved in the agricultural sector. The focus of this article is on the rural sector in India, a country where child labor continues to be prevalent. A number of factors have been found to significantly influence the extent of child labor. This article will focus on the type of technology utilized in the agricultural sector. Technology is divided into two types: biochemical and mechanical. The empirical results indicate that biochemical technology has both positive and negative effects on child labor. However, mechanical technology is found to have a statistically significant and negative impact on child labor.     

The impact of the use of new technologies on farmers’ wheat yield in Ethiopia: evidence from a randomized control trial

In 2013, Ethiopia's Agricultural Transformation Agency introduced the Wheat Initiative to increase smallholder productivity. In this article, we measure the impacts of the Wheat Initiative package of technologies, and its marketing assistance component alone, on yields among a promotional group of farmers. The package includes improved techniques, improved inputs, and a guaranteed market for the crop. Relying on crop‐cut measures and farmers’ own assessments, we find that full package led to an average 14% higher yields. Implementation of the Wheat Initiative was successful in making certified seed and fertilizer accessible to farmers and increasing their uptake, though only 61% of the intervention group adopted row planting and few farmers received marketing assistance. The measured yield difference may underestimate the true yield difference associated with the technology because of incomplete adoption of the recommended practices by intervention farmers and adoption of some practices by control farmers.     

The productivity of agricultural credit in India

This study examines the nature of the relationship between formal agricultural credit and agricultural Gross Domestic Product (GDP) in India, specifically the role of the former in supporting agricultural growth, using state level panel data covering the period 1995–1996 to 2011–2012. The study uses a mediation analysis framework to map the pathways through which institutional credit relates to agricultural GDP relying on a control function approach to tackle the problem of endogeneity. The findings from the analysis suggest that over this period, all the inputs are highly responsive to an increase in institutional credit to agriculture. A 10% increase in credit flow in nominal terms leads to an increase by 1.7% in fertilizers (N, P, K) consumption in physical quantities, 5.1% increase in the tonnes of pesticides, 10.8% increase in tractor purchases. Overall, it seems quite clear that input use is sensitive to credit flow, whereas GDP of agriculture is not. Credit seems therefore to be an enabling input, but one whose effectiveness is undermined by low technical efficiency and productivity.