Strategies to increase agricultural productivity and reduce land degradation: evidence from Uganda

This paper estimates a structural econometric model of household decisions regarding income strategies, participation in programs and organisations, crop choices, land management, and labour use, and their implications for agricultural production and soil erosion; based upon a survey of over 450 households and their farm plots in Uganda. Many factors have context-specific impacts and involve trade-offs between increasing production and reducing land degradation. Government agricultural extension and training programs contribute to higher value of crop production in the lowlands, but to soil erosion in the highlands. By contrast, non-governmental organization (NGO) programs focusing on agriculture and environment help to reduce erosion, but have less favourable impacts on production in the lowlands. Education increases household incomes, but also reduces crop production in the lowlands. Poverty has mixed impacts on agricultural production, depending on the nature of poverty: smaller farms obtain higher crop production per hectare, while households with fewer livestock have lower crop production. Population pressure contributes to agricultural intensification, but also to erosion in the densely populated highlands. Several household income strategies contribute to increased value of crop production, without significant impacts on soil erosion. We find little evidence of impact of access to markets, roads and credit, land tenure or title on agricultural intensification and crop production and land degradation. In general, the results imply that the strategies to increase agricultural production and reduce land degradation must be location-specific, and that there are few 'win-win' opportunities to simultaneously increase production and reduce land degradation.     

The effects of agricultural policy on supply and productivity: Evidence from differential changes in distortions

Incentives in agriculture are highly distorted. It has long been argued that these distortions were a key explanation for differences in supply and productivity across countries, but the empirical evidence is limited. We revisit this issue using data on policy distortions across 63 countries for the period 1961–2011. We estimate the effects of differential changes in agricultural distortions across countries on supply and productivity. We highlight concerns in our analysis and previous work about endogeneity that biases the estimated effect downward—countries that lose comparative advantage are likely to increase support for agriculture. We address these concerns by including country and region-time fixed effects, along with a rich set of controls. Overall, we find evidence that enhanced incentives through policy changes can increase the rate of production growth, with about half of the increase due to productivity increases. This result is strongest in Sub-Saharan Africa where anti-agricultural policies on exports were reduced and in Europe where pro-agricultural policies on imports were reduced, driven largely by external pressure. Endogeneity appears to be strongest in Asia where countries have followed the typical pattern of raising support for agriculture during industrialization due to a rising farm-urban income gap.     

Neoliberalism and the revival of agricultural cooperatives: The case of the coffee sector in Uganda

Agricultural cooperatives have seen a comeback in sub‐Saharan Africa. After the collapse of many weakly performing monopolist organizations during the 1980s and 1990s, strengthened cooperatives have emerged since the 2000s. Scholarly knowledge about the state–cooperative relations in which this “revival” takes place remains poor. Based on new evidence from Uganda's coffee sector, this paper discusses the political economy of Africa's cooperative revival. The authors argue that donors' and African governments' renewed support is framed in largely apolitical terms, which obscures the contested political and economic nature of the revival. In the context of neoliberal restructuring processes, state and non‐state institutional support to democratic economic organizations with substantial redistributional agendas remains insufficient. The political–economic context in Uganda—and potentially elsewhere in Africa—contributes to poor terms of trade for agricultural cooperatives while maintaining significant state control over some cooperative activities to protect the status quo interests of big capital and state elites. These conditions are unlikely to produce a conflict‐free, substantial, and sustained revival of cooperatives, which the new promoters of cooperatives suggest is under way.     

Nonfarm employment,agricultural intensification,and productivity change: empirical findings from Uganda

This article uses panel data from the Living Standards Measurement Study‐Integrated Surveys on Agriculture for Uganda to assess the farm‐level effects of nonfarm employment on agricultural intensification and productivity change. A sample selection model is used to account for both unobserved heterogeneity and potential simultaneity between agricultural production and nonfarm income. Results show that nonfarm employment can have differential impacts on farm technology intensity and productivity. Nonfarm income is found to have a positive impact on farm hired labor and improved seed intensity; a negative effect on on‐farm family labor use; and no significant impact on fertilizer, soil water management, and joint use of farm technologies. The econometric evidence also indicates that agricultural productivity declines as nonfarm income increases. Taken together, our findings reveal important trade‐offs between nonfarm employment and income and farm productivity growth under smallholder agriculture. The results indicated that targeted policies are required to reduce these potential trade‐offs between nonfarm employment and agricultural intensification and productivity change.     

Land rental markets and labor productivity: Evidence from rural China

This study investigates the impact of the land rental market on labor productivity in rural China. Particular attention is given to farm and nonfarm labor productivity. Using 2012 household‐level data and a multinomial endogenous switching treatment regression technique, we find that rural households renting in farmland increased labor productivity in the farm sector by about 55%, whereas labor productivity in the nonfarm sector decreased by about 6%. We also find that rural households renting out farmland had lower labor productivity in both the farm and nonfarm sectors by 13% and 9%, respectively. More family labor transferred from the farm to the nonfarm sector after renting out land.     

Knowledge productivity and the returns to agricultural research: a review

This paper describes the identification, specification, estimation, and evaluation of econometric models of knowledge productivity and the returns‐to‐research. General issues related to these models are discussed and placed in context of the literature. The path from R&D investment to economic benefit is complex, convoluted, generally unknown and possibly misrepresented. The complexity arises from the intricate spatial spillover relationships and the very long time periods involved, which complicate any econometric analysis. The relevant R&D investment data are typically unavailable, incomplete and poorly measured (or approximated). The appropriate calculation of the financial benefit is not entirely clear. Some parsimonious suggestions for future research are presented.     

No quick fixes: four interacting constraints to advancing agroecology in Uganda

A century after its inception, agroecology has entered mainstream development debates as a more sustainable alternative to conventional agricultural modernization of relevance not least for improving smallholder agriculture in sub-Saharan Africa. Agroecology is a broad concept considered to have transformative potential, yet as a research field it has often been technology-centred and focused at the local level. Building on the experiences of Ugandan agroecologists working in an array of agricultural professions throughout the country, this paper identifies and discusses major barriers to agroecology in Uganda. Inductive analysis of qualitative data from interviews and focus groups generated four types of interacting barriers; constraints at farmer level, an agricultural knowledge system favouring conventional approaches, adverse and intertwined political and economic interests, and cross-cutting ideological and discursive pressures. These broad challenges become manifest in the accounts presented, making clear that barriers to and therefore also appropriate strategies for advancing agroecology must be treated as contextual even if a ‘global movement’ is emerging around it. The discussion suggests theoretical lenses for further inquiry into agroecology and its realization in light of these constraints.     

Impacts of price and productivity changes on banana‐growing households in Uganda

This article compares the effects of changing market prices and farm productivity on the welfare of banana‐growing households in the Ntungamo district of Uganda. A heterogeneous‐agent model is applied via a series of mathematical optimization problems, to simulate production and consumption responses of 70 farm households surveyed in 2006. Results show that a given increase in productivity has a greater impact on poverty alleviation than that same increase in market prices. Despite the effects of productivity gains being comparable across different types of household groups, price improvements primarily benefit the incomes of households who are involved in rural producer organizations, who are located closer to markets, and who sell at the market.     

Efficiency and equity of rural land markets and the impact on income: Evidence in Kenya and Uganda from 2003 to 2015

This study examines the evolution of land sales and rental markets and their impact on agricultural efficiency in rural Kenya and Uganda using panel data spanning over 10 years. Both countries show that land markets induce efficiency by transferring land to households with higher farming ability. In both countries, land markets enhance equity by transferring land from land-abundant to land-constrained households. Although renting in land increases crop income in Kenya, we find no evidence that it enables households to escape from poverty. In contrast, increase in owned land helped decrease poverty in Uganda. Parcel-level analysis reveals that rented-in land and owned land differ in productivity levels and crop choice. These findings point to the potential weaknesses in the land markets in Kenya and Uganda that impede their ability to contribute to poverty alleviation.     

Cultivated land conversion and potential agricultural productivity in China

In China there is a growing debate on the role of cultivated land conversion on food security. This paper uses satellite images to examine the changes of the area of cultivated land and its potential agricultural productivity in China. We find that between 1986 and 2000 China recorded a net increase of cultivated land (+1.9%), which almost offset the decrease in average potential productivity, or bioproductivity (−2.2%). Therefore, we conclude that conversion of cultivated land has not hurt China's national food security. We also argue that more recent change in cultivated area likely has had little adverse effect on food security.     

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.     

Rural in-migration and agricultural development: Evidence from Zambia

While a considerable body of literature has developed in recent years around the drivers and consequences of rural out-migration in sub-Saharan Africa, relatively little work has been done to understand the impacts of migration into rural areas. We use nationally representative household survey data from Zambia to explore the relationship between rural in-migration and agricultural productivity outcomes in receiving communities. We document high levels of rural in-migration throughout Zambia—12% of rural household heads having moved from elsewhere within the previous 10 years—with two-thirds of rural in-migrants originating from other rural areas. Migrants are, on average, better endowed with capital resources than their nonmigrant neighbors and are more engaged with input and output markets. After controlling for other factors, we find that higher rates of rural in-migration are associated with greater agricultural productivity outcomes in receiving communities. These positive associations are particularly pronounced in more remote rural areas, and where in-migration originates from other rural areas. Taken together, our results suggest that rural in-migrants play an important role in the rural transformation processes underway in Zambia.     

Agricultural input subsidies,extension services,and farm labour productivity nexus: Evidence from maize farmers in Tanzania

This paper examines the effect of agricultural input subsidies (AIS) and agricultural extension services (AES) on farm labour productivity in plots planted with maize in Tanzania, using panel data from the National Panel Survey in Tanzania. To control for the endogeneity of the two programmes, a control function and instrumental variable approach is used to estimate the effects of AIS and AES on farm labour productivity. The results show that AIS and AES are significant in raising labour productivity in maize-planted plots. Similarly, AIS and AES are also effective in increasing land productivity in these plots. Moreover, each programme has comparable effects on land productivity and farm labour productivity. These findings imply that public investments in AIS and AES are effective in raising farm productivity.     

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.     

Understanding rural household behavior: Beyond Boserup and Becker

New data and new methods have provided many new insights into rural households in the past 50 years. We analyze what we have learned from household models since Boserup and Becker, using this to frame more recent findings about household behavior from three types of studies: observational studies, experimental games, and impact evaluations. More sex-disaggregated data, as well as data that are collected at smaller units, such as agricultural plots, have allowed us to better understand agricultural productivity, risk sharing, and spousal cooperation. However, the focus on bargaining within households has often led us to ignore the cooperation that occurs within households. Many resources are owned and managed jointly by household members and many decisions are made jointly, although not all parties necessarily have equal voice in these decisions. Research demonstrating that households often do not reach efficient outcomes suggests that we still have much to learn about rural household behavior. Understanding both individual roles within households and the levels of cooperation, including joint decision making and ownership of resources, is essential to analysis of households, especially in rural areas where households engage in both production and consumption.     

China's regional agricultural productivity growth in 1985–2007: A multilateral comparison1

In this study, we estimate total factor productivity (TFP) growth as well as multilateral TFP index for 25 contiguous China provinces over the 1985–2007 period. Agricultural output growth for each province was decomposed into TFP growth and input growth, where input growth was further disaggregated into contributions from growth of labor, capital, land, and intermediate goods. Over the study period, TFP growth contributed 2.7 percentage points to output growth annually, which was slightly higher than the input growth contribution of 2.4 percentage points per annum. On average, the annual rate of productivity growth peaked during 1996–2000, at 5.1%. It slowed in 2000–2005 to a rate of 3.2% per annum and declined in the most recent years (2005–2007) to ?3.7%. Differences in productivity among regions persisted over the entire period. The tendency toward faster TFP growth in relatively well‐off coastal regions may imply a widening of regional inequality.     

Peanut Research and Poverty Reduction: Impacts of Variety Improvement to Control Peanut Viruses in Uganda

A procedure is developed and applied for predicting ex ante impacts of agricultural research on aggregate poverty, using as an example the poverty-reducing impact of peanut research in Uganda. Market-level information on economic surplus changes is combined with a procedure for allocating income changes to individual households. Characteristics of farmers that affect their likelihood of technology adoption are used to create a technology adoption profile. Associated changes in poverty resulting from adoption are computed using poverty indices. Predicted income changes at the household level are aggregated to the market level and reconciled with calculations of economic surplus changes.     

Measuring public agricultural research and extension and estimating their impacts on agricultural productivity: new insights from U.S. evidence

This article provides new estimates of the marginal product of public agricultural research and extension on state agricultural productivity for the U.S., using updated data and definitions, and forecasts of future agricultural productivity growth by state. The underlying rationale for a number of important decisions that underlie the data used in cost‐return estimates for public agricultural research and extension are presented. The parameters of the state productivity model are estimated from a panel of contiguous U.S. 48 states from 1970 to 2004. Public research and extension are shown to be substitutes rather than complements. The econometric model of state agricultural TFP predicts growth rates of TFP for two‐thirds of states that is less than the past trend rate. The results and data indicate a real social rate of return to public investments in agricultural research of 67% and to agricultural extension of 100+%. The article concludes with guidance for TFP analyses in other countries.