The Economics of Sustainable Land Management Practices in the Ethiopian Highlands

This article uses data from household‐ and plot‐level surveys conducted in the highlands of the Tigray and Amhara regions of Ethiopia. We examine the contribution of sustainable land management (SLM) practices to net value of agricultural production in areas with low vs. high agricultural potential. A combination of parametric and non‐parametric estimation techniques is used to check result robustness. Both techniques consistently predict that minimum tillage (MT) is superior to commercial fertilisers (CFs), as are farmers’ traditional practices (FTPs) without CFs, in enhancing crop productivity in the low agricultural potential areas. In the high agricultural potential areas, in contrast, use of CFs is superior to both MT and FTPs without CFs. The results are found to be insensitive to hidden bias. Our findings imply a need for careful agro‐ecological targeting when developing, promoting and scaling up SLM practices.     

Road connectivity,population, and crop production in Sub‐Saharan Africa

This study adopts a cross‐sectional spatial approach to examine the relationship between transport infrastructure, population location, and agricultural production in Sub‐Saharan Africa using new data obtained from geographic information systems (GIS). We find that both population and agricultural production are spatially concentrated near large cities, with 41.4% of population and 23.6% of agricultural production (in value terms) within 2.5 hours travel time to large cities. Taking into account agroecological and other factors, we find a statistically significant association between travel time and agricultural production. Using coefficients estimated for Mozambique, we simulate the effects of hypothetical increases in road investments on travel times and agricultural production, suggesting that improvements in road infrastructure could facilitate a substantial increase in agricultural production.     

Conditioning trends shaping the agricultural and rural landscape in Africa

African countries continue to face deepening food crises that have been accentuated by the global food, energy, and financial crises. This situation is part of a long‐term structural problem: decades of under‐investments in agricultural sector and poor policies of support for smallholder farmers who form the bulk of the farming population. The inability of these farmers to achieve a supply response when commodity prices were high and market access was less of a problem suggests that there are multiple sets of binding constraints that continue to limit the potential of agricultural growth to reduce food security and poverty on the continent. This article reviews some of the historical trends that have hampered the performance of the agriculture sector. In addition, it reviews the impacts of more positive trends that could stimulate agricultural growth in Africa that could change the African agricultural landscape. The article however warns that there are more recent global developments and some continental challenges that could prevent or slow agricultural growth. These include the global financial crisis, public sector investments, inequities in global agricultural development policies, rush for agricultural lands by foreign investors, domestic commercial financing markets, climate change, and emerging carbon markets. The article argues that while opportunities for accelerated growth exists for African agriculture, new sets of policy instruments will be needed to support smallholder farmers to access new agricultural technologies, finance, reduce impacts of climate change, and adopt sustainable land use practices that can allow them to benefit from emerging global carbon markets.     

Key socio-economic factors influencing sustainable land management investments in the West Usambara Highlands,Tanzania

Low investments in sustainable land management (SLM) limit agricultural production in the East African Highlands, leading to increased soil erosion, low productivity of land and food insecurity. Recent studies in the region show that different socio-economic factors influence SLM investments by farmers, but knowledge on which of these are most influential and how to foster SLM is often lacking. This research fills this gap for the West Usambara Highlands, and determines key socio-economic factors influencing investments in SLM. Data for this research was collected from 196 randomly selected farm households in the Lushoto district, and Factor Analysis was used to reveal patterns of correlation between SLM investments and different household characteristics. Among the eight socioeconomic factors generated by Factor Analysis, four key factors were found to significantly influence SLM investments in upland (mainly rain-fed) agricultural fields: (1) the farmer’s access to support services; (2) the farmer’s experience with collaborative land management; (3) the household’s income from crop sales; and (4) the farmer’s forward driven attitude. The study concludes that a strategy to foster and scale-up SLM in the West Usambara Highlands should therefore improve the access of farmers to support services (especially micro-credits), trigger collaborative efforts in land management (e.g., farmer-to-farmer training) and promote investments in the rural area to create an enabling environment for SLM. A more active role of the Government, together with public and private sector partners, is therefore crucial.     

Projecting future crop productivity for global economic modeling

Assessments of climate change impacts on agricultural markets and land‐use patterns rely on quantification of climate change impacts on the spatial patterns of land productivity. We supply a set of climate impact scenarios on agricultural land productivity derived from two climate models and two biophysical crop growth models to account for some of the uncertainty inherent in climate and impact models. Aggregation in space and time leads to information losses that can determine climate change impacts on agricultural markets and land‐use patterns because often aggregation is across steep gradients from low to high impacts or from increases to decreases. The four climate change impact scenarios supplied here were designed to represent the most significant impacts (high emission scenario only, assumed ineffectiveness of carbon dioxide fertilization on agricultural yields, no adjustments in management) but are consistent with the assumption that changes in agricultural practices are covered in the economic models. Globally, production of individual crops decrease by 10–38% under these climate change scenarios, with large uncertainties in spatial patterns that are determined by both the uncertainty in climate projections and the choice of impact model. This uncertainty in climate impact on crop productivity needs to be considered by economic assessments of climate change.     

Evaluating the long‐term impacts of promoting “green” agriculture in the Amazon

Frontier development in the Brazilian Amazon has created vast areas of largely deforested landscapes. Conservation efforts in these post‐frontier zones seek to protect the remaining forest fragments and promote sustainable agricultural practices that absorb labor, meet market demand, and generate ecosystem services. Assessments of these efforts often find that rates of sustained uptake are disappointingly low and that impacts are difficult to discern, but this could be due to the short‐time frames of both the efforts themselves and their evaluation. We investigate the impacts of participation in an internationally sponsored farmer association that for 15 years promoted sustainable agricultural practices in the heavily deforested state of Rondônia, Brazil. Using data from a georeferenced four‐period panel survey of farmers in combination with remote sensing data on land use spanning the life of the association, we apply matching methods to estimate the impacts of participation. We find that membership resulted in more diversified production systems, including more land allocated to agroforestry. Members also deforested less of their farms, but this difference is not statistically significant after we control for selection bias in membership.     

Policies for sustainable development in the hillside areas of Honduras: a quantitative livelihoods approach

In this article, we use data for 376 households, 1,066 parcels, and 2,143 plots located in 95 villages in the hillside areas in Honduras to generate information needed by decision makers to assess the needs and opportunities for public investments, and design policies that stimulate natural resource conservation. We develop a quantitative livelihood approach, using factor and cluster analysis to group households based on the use of their main assets. This resulted in seven household categories that pursue similar livelihood strategies. We use a multinomial logit model to show that livelihood strategies are determined by comparative advantages as reflected by a combination of biophysical and socioeconomic variables. While 92% of the rural hillsides population in Honduras lives on US$1.00/capita/day or less, households that follow a livelihood strategy based on basic grain farming are the poorest because they often live in isolated areas with relatively poor agro‐ecological and socioeconomic conditions. Opportunities for off‐farm work tend to be limited in these areas and household strategies that combine on‐farm work with off‐farm work earn higher incomes. Per capita incomes can be increased by improving road infrastructure, widening access to land, policies that reduce household size and dependency ratios, and adoption of sustainable land management technologies that restore soil fertility. We used probit models to show that the latter can be promoted by agricultural extension programs and land redistribution. Investments in physical assets should be directed toward households that pursue livelihood strategies based on off‐farm employment or coffee production, while agricultural training programs are best focused on livestock producers.     

Hired labor use decisions in cassava-producing households of sub-Saharan Africa

Sub‐Saharan Africa is the only developing region of the world where agricultural output has been trailing population growth for most of the last three decades. Farming systems in the region are inherently risky because they are fundamentally dependent on the vagaries of weather. In addition, it is a region of crises; poverty, civil strife, and HIV/AIDS. Attention must therefore be focused on improving the production of crops that could thrive under these circumstances. Because of its tolerance of extreme drought and low input use conditions, cassava is perhaps the best candidate in this regard. And cassava is a basic food staple and a major source of farm income for the people of the region. The use of hired labor is important for its production growth because cassava root yield responds positively to the application of hired labor. This article, based on farm‐level information collected from six major cassava‐producing countries of Africa, within the framework of the Collaborative Study of Cassava in Africa, identifies strategic variables affecting the hired labor use decisions of producing households. The characteristics of the household head (age and number of years of formal education), the size of the household farm, good market access, and population pressure are found to motivate households to apply hired labor in cassava production. These observations underscore the need for investing in people—education—and in infrastructure—market access—as possible tools for improving food production in the region. The positive effect of farm size also suggests that some kind of land reform, which would put more farmland at the disposal of farm households, could be favorable to improving cassava production.     

Appraising agricultural greenhouse gas mitigation potentials: effects of alternative assumptions

There is interest in society in general and in the agricultural and forestry sectors concerning a land‐based role in greenhouse gas mitigation reduction. Numerous studies have estimated the potential supply schedules at which agriculture and forestry could produce greenhouse gas offsets. However, such studies vary widely in critical assumptions regarding economic market adjustments, allowed scope of mitigation alternatives, and region of focus. Here, we examine the effects of using different assumptions on the total emission mitigation supply curve from agriculture and forestry in the United States. To do this we employ the U.S.‐based Agricultural Sector and Mitigation of Greenhouse Gas Model and find that variations in such factors can have profound effects on the results. Differences between commonly employed methods shift economic mitigation potentials from –55 to + 85%. The bias is stronger at higher carbon prices due to afforestation and energy crop plantations that reduce supply of traditional commodities. Lower carbon prices promote management changes with smaller impacts on commodity supply.     

Public agricultural R&D over the past half century: an emerging new world order

Recent trends in farm productivity and food prices raise concerns about whether the era of global agricultural abundance is over. Agricultural R&D is a crucial determinant of agricultural productivity and production, and therefore food prices and poverty. In this article, we present entirely new evidence on investments in public agricultural R&D worldwide as an indicator of the prospects for agricultural productivity growth over the coming decades. The agricultural R&D world is changing, and in ways that will definitely affect future global patterns of poverty, hunger, and other outcomes. The overall picture is one in which the middle‐income countries are growing in relative importance as producers of agricultural innovations through investments in R&D, and have consequently better prospects as producers of agricultural products.     

Strategies for sustainable intensification in East African highlands: labor use and input efficiency

Strategies for poverty alleviation and sustainable natural resource management usually focus on land use options for improving yields. Increasing the returns to critical factors requires possibilities for input substitution. Inadequate timing of input applications or nonavailability of complementary factors can seriously hinder this substitution. Such constraints particularly apply in less‐favored areas where soil organic matter content is too low for enabling efficient nutrient uptake and soil structure limits water infiltration and moisture retention. This article focuses attention on the importance of labor for crop management activities and input applications that enhance input efficiency in highland area cropping systems of Northern Ethiopia. Given the inherent complementarities between labor and nutrient supply during critical phases of the plant growth process, input efficiency strongly depends on labor use. We present a semiparametric bioeconomic modeling approach to analyze the available options for improving input efficiency in agricultural production. Input response equations are used that consider the returns per unit of land and labor as a function of specific combinations of material inputs and management practices. Critical trade‐offs may arise when opportunity costs for labor are considered or when complementary factors appear as binding constraints. The model enables assessment of feasible pathways for enhancing sustainable intensification and poverty alleviation in typical settings of the East African highland region.     

Impacts of increased bioenergy demand on global food markets: an AgMIP economic model intercomparison

Integrated Assessment studies have shown that meeting ambitious greenhouse gas mitigation targets will require substantial amounts of bioenergy as part of the future energy mix. In the course of the Agricultural Model Intercomparison and Improvement Project (AgMIP), five global agro‐economic models were used to analyze a future scenario with global demand for ligno‐cellulosic bioenergy rising to about 100 ExaJoule in 2050. From this exercise a tentative conclusion can be drawn that ambitious climate change mitigation need not drive up global food prices much, if the extra land required for bioenergy production is accessible or if the feedstock, for example, from forests, does not directly compete for agricultural land. Agricultural price effects across models by the year 2050 from high bioenergy demand in an ambitious mitigation scenario appear to be much smaller (+5% average across models) than from direct climate impacts on crop yields in a high‐emission scenario (+25% average across models). However, potential future scarcities of water and nutrients, policy‐induced restrictions on agricultural land expansion, as well as potential welfare losses have not been specifically looked at in this exercise.     

Food security,the labor market,and poverty in the Brazilian bio‐economy

This article deals with the social implications of ethanol expansion in Brazil. The evolution of the labor market in sugarcane production in the country is analyzed together with its regional patterns of expansion, to illustrate how changes in the recent expansion are modifying the traditional pattern of labor demand in the activity. At the same time, the distributional effects of sugarcane expansion, as well as it's impacts on food security and land use change was approached with the aid of general equilibrium simulation models. The analysis shows that both the average earnings and the average years of schooling in sugarcane production are actually higher than in general agriculture in Brazil, and that this is linked to the growing increase in production in the Southeast and Central‐West. Sugarcane production in these regions is more capital intensive and has a much higher productivity than in other traditional regions in Northeast Brazil. The study concludes that the expansion in sugarcane production according to actual patterns does not have a negative effect on poverty, and has only minor impacts on food prices and deforestation. The increase in the regional economic imbalances within the country appears to be the problem that requires attention.     

How does land fragmentation affect off‐farm labor supply: panel data evidence from China

This article provides a deeper theoretical understanding of the linkages between land fragmentation and off‐farm labor supply in China, and investigates this relationship empirically in a more direct way than does the existing literature. Drawing upon a rural household panel data set collected in Zhejiang, Hubei, and Yunnan Provinces from 1995 to 2002, we estimate the effects in two steps. First, we estimate the effect of land fragmentation on labor productivity. Second, we estimate the effect of land fragmentation on off‐farm labor supply. The production function results show that land fragmentation indeed leads to lower agricultural labor productivity, implying that land consolidation will make on‐farm work more attractive and thus decrease off‐farm labor supply. However, the effect of land consolidation on off‐farm labor supply is not significant. One likely explanation for this result may be the potentially imperfect labor markets.     

The impacts of biofuels targets on land‐use change and food supply: A global CGE assessment

We analyze the long‐term impacts of large‐scale expansion of biofuels on land‐use change, food supply and prices, and the overall economy in various countries or regions using a multi‐country, multi‐sector global computable general equilibrium model augmented with an explicit land‐use module and detailed biofuel sectors. We find that an expansion of biofuel production to meet the existing or even higher targets in various countries would slightly reduce GDP at the global level but with mixed effects across countries or regions. Significant land re‐allocation would take place with notable decreases in forest and pasture lands in a few countries. The expansion of biofuels would cause a moderate decrease in world food supply and more significant decreases in developing countries like India and Sub‐Saharan Africa. Feedstock commodities (sugar, corn and oil seeds) would experience significant increases in their prices in 2020, but other price changes are small.     

Higher fuel and food prices: impacts and responses for Mozambique

Rising world prices for fuel and food represent a negative terms‐of‐trade shock for Mozambique. The impacts of these price rises are analyzed using various approaches. Detailed price data show that the world price increases are being transmitted to domestic prices. Short‐run net benefit ratio analysis indicates that urban households and households in the southern region are more vulnerable to food price increases. Rural households, particularly in the North and Center, often benefit from being in a net seller position. Longer‐term analysis using a computable general equilibrium (CGE) model of Mozambique indicates that the fuel price shock dominates rising food prices from both macroeconomic and poverty perspectives. Again, negative impacts are larger in urban areas. The importance of agricultural production response in general and export response in particular is highlighted. Policy analysis reveals difficult trade‐offs between short‐run mitigation and long‐run growth. Improved agricultural productivity has powerful positive impacts, but remains difficult to achieve and may not address the immediate impacts of higher prices.     

Technological and policy options for sustainable agricultural intensification in eastern Uganda

This article presents a bio‐economic household model, which has been developed to assess the potential impacts of agricultural intensification efforts on economic and ecological indicators in eastern Uganda. A study region in the Lake Victoria Crescent was selected with comparative advantages for intensive agricultural production: high agricultural potential, high market access, and high population density. However, current production is characterized by low input–output systems revealing a discrepancy between development opportunities and actual development outcomes. Based on a farmer participatory research approach, production methods were introduced in the study region aimed at fostering sustainable agricultural development. Data from two community surveys, two comprehensive household and plot level surveys, and farm‐trial data were used to develop and calibrate bio‐economic models for four representative household types. Model scenarios reveal that farm households in eastern Uganda would not pursue sustainable intensification under current socio‐economic conditions. The market environment has to be improved substantially, i.e., transaction and transportation costs have to be reduced, innovative credit schemes for smallholders have to be introduced, and alternative forms of labor acquisition have to be promoted, to provide sufficient economic incentives for the adoption of environmentally sound production methods. In addition, agricultural service provision needs to be reformed and more agricultural research is needed for new and better‐targeted technologies.     

Rural credit and agricultural supply in Brazil

The objective of this study is to determine the financing impact of total expenditure on the use of agriculture inputs (fertilizers, labor, and pesticides), and the output of cotton, rice, beans, corn, soybean, and wheat in Brazil. We study the period 1976–2005. The analysis is based on duality applied to the production theory. The output supplies and conditioned input demands are estimated from a translog multi‐output, multi‐input restricted profit function, where the total production credit is used as proxy of the total expenditure. Farmer expectations with respect to crop prices are incorporated to the estimation based on the quasi‐rational expectation model. The output and input responses to the total expenditure are positive and statistically significant except for cotton, wheat, fertilizer, and pesticides. The short‐run output supply response to own prices is inelastic, except for wheat, which presents elastic response to its price. Acreage has a positive impact on the output supply and it is influenced by land productivity. The main conclusion is that farmers face budget restrictions to purchase inputs, and a government credit program might increase the agricultural supply.     

Determinants of smallholder farmers' participation in banana markets in Central Africa: the role of transaction costs

A bivariate probit model was employed to jointly and separately estimate banana market participation decisions of buying and selling households in Rwanda and Burundi using household survey data. Selectivity bias was corrected for estimating the transacted volumes using Heckman's procedure. The results showed that transaction cost‐related factors such as geographical location of households, market information sources, and travel time to the nearest urban center influence market participation. Non‐price‐related factors such as security of land tenure, labor availability, off‐farm income, gender of the household head, and years of farming experience had a significant influence on the transacted volumes. Output prices had a significant correlation with sales volume, indicating price incentives increased supply by sellers. Generally, the findings suggest that policies aimed at investments in rural road infrastructure, market information systems, collective marketing, and value addition of banana products may provide a potential avenue for mitigating transaction costs and enhancing market participation and production of marketed surplus by rural households.     

Effect of off‐farm income on smallholder commercialization: panel evidence from rural households in Ethiopia

This article investigates how off‐farm income affects crop output market participation decisions and marketed surplus of smallholder farmers in Ethiopia. A double‐hurdle model is estimated using three waves of panel data from the Ethiopian Rural Household Survey. Unobserved heterogeneity is controlled for using a correlated random effect procedure and potential endogeneity of explanatory variables using a control function approach. The results show that off‐farm income has no significant influence on household crop output market participation. However, conditional on market participation, additional off‐farm earnings negatively affect the marketed surplus. This indicates that farmers use off‐farm earnings for consumption rather than for investment in agricultural production. Policy measures that promote rural investment may help increase returns to labor for land‐poor households participating in off‐farm work in the process of agricultural commercialization.