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.     

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.     

Rural nonfarm income and its impact on agriculture: evidence from Albania

Using data from the 2005 Albania Living Standards Measurement Study (ALSMS05) survey, this article analyzes the overall impact of household nonfarm income-generating activities (RIGA) on agricultural expenditures as well as technical efficiency of rural farm households. We also differentiate the impact for subsistence and commercial farmers, who are in the top 25% of the distribution of value of annual agricultural sales. Our results show that on the whole, Albanian rural households utilize their nonfarm earnings not to invest in time-saving, efficiency-increasing technologies, but to move out of crop production. We derive similar findings when we try to estimate the same relation separately for commercial and subsistence farmers. However, for commercial farmers, we find a positive impact of household nonfarm earnings on livestock expenditures.     

The impact of water conservation and intensification technologies: empirical evidence for rice farmers in Ghana

This study employs the propensity score matching model to examine the impact of the adoption of water conservation and intensification technologies on farm output and income among small-scale lowland rice farmers in the Northern Region of Ghana. The matching was conducted based on the Mahalanobis distance combined with the propensity score. Balancing tests by checking the mean standardized absolute bias in the matched sample were conducted as well as a sensitivity analysis was conducted to check for hidden bias due to unobservable selection. The empirical results show a positive and significant impact of the adoption of bunds technology on input demand as well as a positive but insignificant impact on output supply and net returns. Adopters of the dibbling technology were found to have higher output supply, whereas no statistically significant difference was found between the incomes of adopters and nonadopters of dibbling seed method. The results, however, reveal a positive and significant effect on output and net returns when the dibbling method is combined with intensified weeding. The estimates were found to be relatively insensitive to hidden bias.     

Agricultural diversification and integrated pest management in Bangladesh

We study factors associated with a shift toward diversified, high‐valued vegetable crops and the incentives associated with the use of IPM methods for vegetable producers in Bangladesh. The primary objective is to measure how IPM technologies affect the crop and technology choices of low‐income rice farmers. A three‐season household optimisation model is used to study crop and technology choice under price and yield uncertainty. The model is parameterised using data from vegetable farms and experimental IPM trials conducted in Bangladesh. Simulation results show that access to IPM technology and IPM availability combined with access to credit increase household welfare and lead to higher rates of vegetable adoption. Off‐farm employment opportunities work against vegetable cultivation and IPM use by risk‐averse farmers. Implications for policy and extension efforts are highlighted.     

Productivity growth and convergence in crop, ruminant, and nonruminant production: measurement and forecasts

Projections of future productivity growth rates in agriculture are an essential input for a great variety of tasks, ranging from development of an outlook for global commodity markets to the analysis of interactions between land use, deforestation, and ecological diversity. Yet solid projections for these variables have proven elusive—particularly on a global basis. This is due, in no small part, to the difficulty of measuring historical total factor productivity growth. Consequently, most productivity projections are based on partial factor productivity measures that can be quite misleading. The purpose of this work is to provide worldwide forecasts of agricultural productivity growth till the year 2040 based on the latest time series evidence on total factor productivity growth for crops, ruminants, and nonruminant livestock. The results suggest that most regions in the sample are likely to experience larger productivity gains in livestock than in crops. Within livestock, the nonruminant sector is expected to continue to be more dynamic than the ruminant sector. Given the rapid rates of productivity growth observed recently, nonruminant and crop productivity in developing countries may be converging to the productivity levels of developed countries. For ruminants, the results show that productivity levels in developing countries are likely to be diverging from those in developed countries.     

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.     

Agricultural extension and imperfect supervision in contract farming: evidence from Madagascar

This article tests whether agricultural extension and imperfect supervision—conflated here into the number of visits by a technical assistant—increase productivity in a sample of contract farming arrangements between a processing firm and small agricultural producers in Madagascar. Production functions are estimated which treat the number of visits by a technical assistant as an input and which exploit the variation in the number of visits between the contracted crops grown on a given plot by a specific grower, thereby accounting for district‐, grower‐, and plot‐level unobserved heterogeneity. Results indicate that the elasticity of yield with respect to the number of visits lies between 1.3 and 1.7.     

Analyzing technology adoption using microstudies: limitations, challenges, and opportunities for improvement

Policy makers and interest groups have many questions about the use of improved technologies in developing country agriculture. These include the roles of policies, institutions, and infrastructure in the adoption of improved technologies and their impact on productivity and welfare. Most micro‐level adoption studies, however, cannot address these important policy issues. Drawing on an extensive review of the literature on the adoption of agricultural technologies, this article suggests alternative approaches for designing technology adoption studies to make them useful for policy makers. It explores the generic limitations of cross‐sectional adoption studies carried out in small numbers of communities and discusses some problems faced in conducting such studies. Recommendations include the use of sampling approaches that allow data from microstudies to be generalized to higher levels of aggregation, adherence to clearly defined terms that are standardized across studies, and careful examination of the assumptions that often underlie such studies.     

The contribution of genetics to milk composition: evidence from Spain

This article focuses on the role that genetic progress may play in improving milk quality. Despite important genetic advances in dairy production, the absence of genetic records in farm management databases has precluded empirical production models from explicitly accounting for differences in genetics across herds. The influence of genetics on milk composition is analyzed by splitting milk production into protein, fat, and other components. The article explores some modeling issues associated with the specification of the effect of genetics in this multi‐output technology framework. In particular, genetic indexes are considered as allocable inputs and the remaining inputs as nonallocable. Our results show that genetics have a significant impact on milk composition. In particular, we find that farmers’ income increases by 6.6% when genetic indexes are augmented by one sample standard deviation.     

Potential and limitation of an organic fertilizer‐based development strategy: evidence from Tamil Nadu,India, from 1993 to 2003

This article explores the potential and limitations for using farmyard manure (FYM) to improve paddy and upland cereals productivity under various soil conditions in Tamil Nadu, India. Using household‐level fixed effects, estimated yield functions from 1993 to 2003 confirm that FYM application directly increases crop productivity in upland cereals, but not in paddy rice. Complementary effects through an increase in the marginal product of inorganic fertilizer is observed for both paddy and upland cereals, especially where inherent soil fertility is low. Farmers’ FYM use is responsive to changes in the price of FYM, but transport costs limit price transmission across space. Dairy sector development thus improves crop productivity, but only in the small area around the animals which limits the spread of FYM‐based development strategy.     

The dynamics of Chinese rural households' participation in labor markets

The work is devoted to the dynamics of labor market participation of Chinese rural households. Based on a theoretical farm household framework the choice between four distinct labor market participation states is empirically analyzed. Using household data over the period 1995–2002 from the province Zhejiang we apply a discrete time hazard approach to analyze households' labor market participation histories. In particular, we investigate the movements between autarky and participation in general and, more specifically, the shifts between part-time and full-time farming. Estimation results suggest significant duration dependence, more precisely, a decreasing risk of moving from one state to another with an increasing time a household occupies one of these states. Further, the likelihoods of starting any participation in labor markets and to start part-time farming are considerably higher than to end participation or to return to full-time farming. In addition, we find that labor market participation decisions are significantly related to several household and farm characteristics.     

Efficiency–equity tradeoffs and the scope for resource reallocation in agricultural research: evidence from Nigeria

On the basis of projected economic and poverty impacts of alternative commodity research programs, this article assessed efficiency and equity tradeoffs and the scope for research resource reallocation in Nigeria. Given the importance of major food staples to both poor and nonpoor households in production and consumption, introducing a poverty dimension revealed no significant shift in priorities compared with those implied by efficiency. The results showed that neither the additional benefits to the poor nor the foregone benefits to society are significant from prioritizing research according to equity—relative to efficiency—criteria. As current priorities are supported by neither efficiency nor equity criteria, however, there is considerable scope for maximizing research benefits to the poor through informed reallocation of research resources. The article concludes with a discussion of the patterns of resource reallocations implied by efficiency and equity criteria.     

Quality control in nonstaple food markets: evidence from India

Using original survey data collected on growers, traders, processors, markets, and village communities, we will compare the situation in four states: Tamil Nadu, Uttar Pradesh, Maharashtra, and Orissa. We examine the way that information about crop attributes is conveyed (or not) along the value chain. We find that little information circulates about unobservable crop characteristics. Growers receive a price premium when they dry, grade, and pack their produce, but we find no evidence that information about crop salubrity or agricultural practices circulates through the value chain or that growers are encouraged to follow specific agricultural practices for quality purposes. Market infrastructure is deficient regarding sanitation, with few public toilets, inadequate drainage, and no coordinated pest control.     

Is off-farm income reforming the farm? Evidence from Mexico

Does access to off-farm income complement or compete with agricultural production? This article explores the effect of off-farm income on agricultural production activities, using data from the 2003 Mexico National Rural Household Survey. We first discuss the theoretical conditions under which access to off-farm income may influence production in an agricultural household model. Instrumental-variable (IV) estimation methods are then used to test whether agricultural production activities, technologies, and input use differ between households with and without access to off-farm income. We find that off-farm income has a negative effect on agricultural output and the use of family labor on the farm, but a positive impact on the demand for purchased inputs. There is also a slight efficiency gain in households with access to off-farm income. Findings offer insights into how household production evolves as rural households increasingly engage in off-farm income activities.     

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.     

Are small‐scale rice farmers in eastern India really inefficient? Examining the effects of microtopography on technical efficiency estimates

The article analyzes how controlling for differences in land types (defined by position on a low‐scale toposequence) affects estimates of farm technical efficiency for rice farms in eastern India. Contrasting previous research, we find that farms are considerably more technically efficient when efficiency estimates are carried out at the plot level and control for plot characteristics rather than at the farm level without such controls. Estimates show farms cultivating modern varieties are technically efficient and plots planted with traditional varieties on less productive lands (upland and midupland) operate close to the production frontier. Significant technical inefficiency is found on more productive lands (medium and lowland plots) planted with traditional rice varieties. The finding that these smallholder rain‐fed rice farms are efficient cultivators on some plots contrasts with previous findings of farm‐level inefficiency (i.e., rejects overarching explanations linked to farm operator ignorance or lack of motivation) and suggests more complex explanations are required to address the inefficiency that is present.     

A model of shifting cultivation: can soil conservation reduce deforestation?

Shifting cultivators manage soil not only by adjusting soil use on already‐cleared lands, as in continuous cultivation, but also by clearing forests to obtain new fertile soils. This study examines the crucial link between on‐farm soil conservation and deforestation in shifting cultivation by modeling forest clearing as an investment in soil for a private farmer. More generally, by doing so the study attempts to integrate deforestation and soil conservation models which have been separately developed in the literature. Our policy goal is to arrest tropical deforestation—as destruction of global commons—caused by land degradation in shifting cultivation while improving the well‐being of poor shifting cultivators. Our integrated approach enables joint policy analyses of deforestation and land degradation. Three welfare‐enhancing policies are considered. The first is agricultural and nonagricultural subsidies affecting farm and nonfarm income opportunities. The second is fiscal and tenure policies affecting discount rates. Our question is whether the link between forest clearing and soil fertility alters the outcomes of these two standard macroeconomic policies commonly found in the literature. The third policy (or program) is various soil conservation measures affecting soil regeneration and erosivity on already‐cleared lands. This article examines a very important question which has received little attention in previous theoretical works: can soil conservation reduce deforestation? This study confirms anti‐deforestation effects of the promotion of nonfarming activities—a common and often emphasized finding in previous works—among shifting cultivators. More importantly, it also demonstrates that improving various soil conservation measures not only discourages forest clearing among shifting cultivators but also tends to have greater effects on forest protection than promoting nonfarming activities. Contrarily, agricultural price subsidy or technological progress gives rise to the opposite outcome, and lowering the farmer's discount rate or improving tenure security encourages him/her to clear more forests just to accumulate soil.