Impact of land fragmentation and resource ownership on productivity and efficiency: The case of rice producers in Bangladesh

The paper analyzes the impact of land fragmentation and ownership of resources on productivity and technical efficiency in rice production in Bangladesh using farm level survey data. Results reveal that land fragmentation has a significant detrimental effect on productivity and efficiency as expected. The elasticity estimates of land fragmentation reveal that a 1% increase in land fragmentation reduces rice output by 0.05% and efficiency by 0.03%. On the other hand, ownership of key resources (land, family labour, and draft animals) significantly increases efficiency. The mean elasticity estimates reveal that a 1% increase in family labour and owned draft animal improve technical efficiency by 0.04% and 0.03%, respectively. Also, a 1% increase in the adoption of modern technology improves efficiency by 0.04%. The mean technical efficiency in rice production is estimated at 0.91 indicating little scope to improve rice production per se using existing varieties. Policy implications include addressing structural causes of land fragmentation (e.g., law of inheritance and political economy of agrarian structure), building of physical capital (e.g., land and livestock resources), improvements in extension services and adoption of modern rice technology.     

Mechanization in land preparation and agricultural intensification: The case of rice farming in the Cote d'Ivoire

It is critically important to intensify farming systems in sub-Saharan Africa by disseminating improved agronomic practices and increasing the application of modern inputs. One of the region's problems is that proper land preparation is difficult due to the scarcity of draft animals and the underdevelopment of the tractor rental market. Our analysis of rice production in the Cote d'Ivoire reveals that farmers who use tractors in land preparation more intensively apply fertilizer and use more labor to carefully implement proper agronomic practices, thereby raising productivity. Thus, the diffusion of tractors appears to be key to the intensification of rice farming systems in sub-Saharan Africa.     

Factors influencing hybrid rice adoption: a Bangladesh case

As rice constitutes the major share in cereal consumption in South and East Asian countries that ranges from as low as 40 per cent in India to 97 per cent in Myanmar, to ensure food security, governments in these countries are encouraging farmers to adopt hybrid rice. This is mainly because hybrid rice provides a yield gain of 15–20 per cent over conventionally bred varieties in general. Yet, despite strenuous government efforts, farmers’ adoption rates have remained low in India, Bangladesh and Vietnam compared with China. Although studies often claim that higher seed costs and inferior grain quality are the major factors limiting hybrid rice adoption, very few studies examine the importance of socio‐economic factors and infrastructure in the adoption of hybrid rice. Using Bangladesh as a case, a comparative analysis has been made on the adoption of hybrid and modern varieties relative to traditional rice varieties and land allocation to these varieties. Econometric results indicate that general land characteristics, loan facilities and general infrastructure, such as roads, irrigation facilities and the availability of government‐approved seed dealers, significantly influence the adoption of hybrid and modern rice varieties and land allocation to these varieties compared with traditional varieties.     

Modern rice technology and regional wage differentials in the Philippines

Fear has been widely expressed that the modern rice varieties have created large disparities in regional income distribution, as the productivity gap between favorable and unfavorable rice-production environments widened due to differential technology adoption throughout South and Southeast Asia over the last two decades. Technology affects the income of farm population directly through its effects on productivity and factor use, and indirectly through its effect on factor prices. In particular, the ultimate distributional impact of modern varieties will critically depend on the interregional labor-market adjustments through migration in response to regional wage differentials created by the differential technology adoption, since labor is the main resource of the majority of the rural population. We studied favorable and unfavorable rice-growing villages in the Philippines, and found that adoption of modern varieties during the 1970s was positively related to population growth rate. Contrary to popular belief, no association was observed between wage rates and adoption of modern varieties as of 1986. These findings support the hypothesis that the differential adoption of modern rice varieties induced interregional labor migration toward equalization of wage income across different production environments.     

Effect of modern rice varieties and irrigation on household income distribution in Nepalese villages

Since high-yielding modern rice varieties (MVs) are adopted only in favorable production environments, significant regional productivity differentials have emerged in Nepal. This study explores the distributional consequences of such differential MV adoption based on an intensive survey of favorable and unfavorable villages. We found that MV adoption increased returns to land but decreased family labor earnings from rice production, as it facilitated the substitution of hired for family labor. As a result, the differential MV adoption did not significantly worsen the household income distribution according to the results of the counterfactual Gini decomposition analysis.     

How does gender affect the adoption of agricultural innovations?

Why do men and women adopt agricultural technologies at different rates? Evidence from Ghana suggests that gender‐linked differences in the adoption of modern maize varieties and chemical fertilizer result from gender‐linked differences in access to complementary inputs. This finding has important policy implications, because it suggests that ensuring more widespread and equitable adoption of improved technologies may not require changes in the research system, but rather introduction of measures that ensure better access for women to complementary inputs, especially land, labor, and extension services.     

Inefficiency of manual weeding in rainfed rice systems affected by parasitic weeds

Manual weeding is the predominant weed control practice and the most labor‐consuming activity in smallholder, rainfed rice systems in sub‐Saharan Africa. This study investigates the technical inefficiency of weeding labor, other labor, and overall inputs, and identifies sources of technical inefficiency of weeding labor in the context of parasitic weed infestation. The analysis applies a two‐stage approach. First, a directional input distance function DEA approach was used to compute input‐specific technical inefficiencies. Second, sources of technical inefficiency of weeding labor were identified using a truncated bootstrap regression. Data from 406 randomly selected smallholder farmers from Benin (n = 215) and Côte d'Ivoire (n = 191) were used. The technical inefficiency of weeding labor was high in both countries (58% in Côte d'Ivoire and 69% in Benin). This implies that a substantial fraction of weeding labor could be saved without reducing rice productivity or increasing the use of other inputs. A decrease in the technical inefficiency of weeding labor with an increase in production scale was observed. In addition, weeding regime and education level were each associated to significant changes in the technical inefficiency of weeding labor.     

农机社会化服务对农业劳动生产率的影响研究

[目的]农业劳动生产率的提高是中国农业现代化的重要特征,进一步探讨农机社会化服务对农业劳动生产率的作用效果具有现实意义。[方法]文章基于2019年全国13省份玉米种植户调查数据,采用OLS回归模型与倾向得分匹配法,分析了农机社会化服务对农业劳动生产率的影响效应,探讨影响效应在不同地形条件、兼业程度的组群差异,并考察了不同环节农机社会化服务对农业劳动生产率的影响差异。[结果]（1）农机社会化服务正向显著影响农业劳动生产率,采纳农机社会化服务会促使农户农业劳动生产率显著提高18.8%。但农户采纳农机社会化服务的作用效果具有环节异质性。采纳耕整地、播种、灌溉排水和收获环节农机社会化服务会促使农户农业劳动生产率分别显著提高21.2%、17.4%、22.9%和18.3%;(2)而农户采纳植保环节农机社会化服务对农业劳动生产率并不具有显著影响。农户采纳农机社会化服务对劳动生产率的影响效应还存在禀赋差异,平地农户采纳农机社会化服务使其农业劳动生产率显著提高21.9%,而坡地山地农户采纳农机社会化服务对农业劳动生产率没有表现出显著的影响。（3）纯农业户与兼业农户采纳农机社会化服务都会对农业劳动生产率产...     

Rice productivity improvement in Cambodia through the application of technical recommendation in a farmer field school

Innovation in rice (Oryza sativa) productivity improvement is a major goal for rice research. However, many studies have tended to analyse the various factors that affect productivity separately, while farmers invest their scare resources in farm inputs that impact on multiple factors in the real farm. This study assessed the effectiveness of integrated pest management practised during farmer field school (FFS) training in Cambodia on the production efficiencies, yields and profitability of rice farming. In total, 270 FFSs on rice cultivated in the early wet, wet and dry seasons were randomly selected from three provinces in 3 years to analyse the production practices and productivity using six cost-related factors: seed, planting methods, field management, fertilizer use, pesticide application and harvesting. It was found that yields and profits were significantly higher with the technically recommended practices (TRs) than with traditional farmer practices (FPs). However, the reverse was true for production costs due to the overuse of seed and pesticides in FP, neither of which are correlated with yield increase for both FP and TR. Thus, the FFS approach is a knowledge-intensive field management tool that enables the rational use of farm inputs and that is expected to be highly effective for sustainable rice production improvement.     

On the transferability of the Asian rice green revolution to rainfed areas in sub‐Saharan Africa: an assessment of technology intervention in Northern Ghana

This article investigates the impact of technical intervention on the adoption of a set of improved rice production technologies, as well as on productivity and profit for smallholders in rainfed lowland areas in Northern Ghana. The key finding is that productivity and profit are significantly enhanced when modern varieties (MVs) and chemical fertilizer are adopted, coupled with water control techniques. This is essentially the transfer of the Asian Green Revolution to sub‐Saharan Africa. Such transfer, however, is not truly successful unless information about the use of MVs and fertilizer is directly disseminated by extension activities.     

Resource use efficiency under self‐selectivity: the case of Bangladeshi rice producers

The paper jointly evaluates the determinants of switching to modern rice and its productivity while allowing for production inefficiency at the level of individual producers. Model diagnostics reveal that serious selection bias exists, justifying the use of a sample selection framework in stochastic frontier models. Results revealed that modern variety selection decisions are influenced positively by the availability of irrigation and gross return from rice and negatively by a rise in the relative wage of labour. Adoption of modern rice is higher in underdeveloped regions. Seasonality and geography/location does matter in adoption decisions. Stochastic production frontier results reveal that land, labour and irrigation are the significant determinants of modern rice productivity. Decreasing returns to scale prevail in modern rice production. The mean level of technical efficiency (MTE) is estimated at 0.82. Results also demonstrate that the conventional stochastic frontier model significantly overestimates inefficiency by three points (MTE = 0.79). Policy implications include measures to increase access to irrigation, tenurial reform and keeping rice prices high to boost farm returns and offset the impact of a rise in the labour wage which will synergistically increase the adoption of modern rice as well as farm productivity.     

Can medium-scale farms support smallholder commercialisation and improve welfare? Evidence from Nigeria

In spite of mounting evidence about the growth of medium-scale farms (MSFs) across Africa, there is limited empirical evidence on their impact on neighbouring small-scale farms (SSFs). We examine the relationships between MSFs and SSFs, with particular focus on the specific mechanisms driving potential spillover effects. First, we develop a theoretical model explaining two propagating mechanisms: learning effects (training) and cost effects (reduced transactions cost). An empirical application to data from Nigeria shows that SSFs with training from MSFs tend to use higher levels of modern inputs (have higher productivity), and receive higher prices and income. The results also show that purchasing inputs from MSFs reduces the costs of accessing modern inputs and is associated with higher inorganic fertiliser use by SSFs. Our results suggest that the benefits of receiving training and purchasing inputs from MSFs are particularly important for very small-scale producers, operating less than 1 hectare of land. This implies that policies which promote the efficient operation of MSFs and encourage their interaction with SSFs can be an effective mechanism for improving the productivity and welfare of smallholder farms, hence reducing their vulnerability to extreme poverty.     

Resource saving and productivity enhancing impacts of crop management innovation packages in Ethiopia

Crop management innovations are often not discrete fixed stand‐alone options—and their adoption may imply various combinations and adaptations. This potentially confounds their impact assessment. This article assesses the resource saving and productivity enhancing impacts of a crop management package revolving around minimum tillage in maize‐based farming systems in northwest Ethiopia. An endogenous switching regression model was applied to plot‐ and household‐level survey data collected from 290 rural households operating 590 maize plots during the 2012 production year. Controlling for variations in plot and household characteristics, the average effect of minimum tillage package (minimum tillage package) on maize productivity is 0.44 t/ha. Compared to conventional practice (CP), adoption of the MTP decreased the average male and female labor use in maize production by 14.4 and 8.2 person‐days per ha, respectively. Similarly, MTP adoption decreased draft power use for land preparation by 13.2 pair of oxen‐days per ha. Compared to CP, in general, there is a considerable short‐run maize productivity gain and reduction in labor and draft power use under MTP.     

Gender differences in agricultural productivity: the case of Tanzania

The article examines gender differences in agricultural productivity using panel data for Tanzania. At the national level, there is weak evidence of mean differences in productivity between male and female plots, but conditional on manager characteristics, plot characteristics, inputs, and crop choice, plots managed solely by a woman are consistently found less productive than all other plots. An Oaxaca‐Blinder‐type decomposition reveals that important factors explaining the gender differential are plot area and family labor. Women are able to obtain higher yields on smaller plots farmed with less male labor and more female labor and thus cover the gender gap in productivity at the aggregate level, but there are still significant unobservable factors which contribute to widening the gap.     

Measurement errors in agricultural data and their implications on marginal returns to modern agricultural inputs

The low uptake of modern agricultural technologies in sub-Saharan African countries has encouraged researchers to revisit the returns to (or profitability of) these agricultural inputs. A related strand of literature is exploring the allocative efficiency of these factors of production in African agriculture. However, all these studies rely on self-reported agricultural data, which are prone to nonclassical measurement errors, the errors in these data are correlated with the true values of variables of interest. In this article we investigate the implication of measurement errors in self-reported agricultural input and production data on marginal returns to these modern agricultural inputs. We consider a generic two-sided measurement error problem where both production and inputs can be measured with error, and these errors can be correlated. We employ both self-reported and objective measures of production and plot size to compute output elasticities under these alternative measurement scenarios. We find that using self-reported production and plot size overestimates output elasticities and hence marginal returns to modern agricultural inputs (including chemical fertilizer and improved seed). These results are noteworthy in terms of informing conventional technology diffusion strategies as well as in view of revisiting existing presumptions about the profitability of modern agricultural inputs.     

农民工还能返回农业吗?——来自全国农产品成本收益调查数据的分析

本文利用全国农产品成本收益调查数据进行分析发现,20世纪90年代以来,主要粮食作物的劳动总投入和单位面积劳动投入都迅速下降,农业机械投入大幅度增加,资本—劳动投入比迅速提高,而2004年以来农业劳动力成本显著提高。本文选取粳稻作为粮食作物的代表,估计了粳稻的生产函数,并计算了粳稻的劳动产出弹性和边际劳动生产率。结果显示:与1980～2004年相比,2005～2009年,粳稻的劳动产出弹性和边际劳动生产率有大幅度提高。这些发现表明,农业越来越倾向于使用节约劳动的生产方式。对于已经迁移到城镇的农民工而言,当他们在城镇的就业受到冲击时,他们很难再返回到农业中来。     

Gender differentials in farming efficiency and profits: The case of rice production in the Philippines

Women make essential contributions to the agricultural and rural economies in all developing countries. Rural women are involved in a variety of production and farm management activities. In the Philippines women engage more intensively in agricultural work than men. However, Filipino women’s actual contribution to food production and the rural economy remains undervalued, if not invisible. Using the average treatment effect and farm-level data from the Philippines, this study investigates the effect of gender on farming efficiency, profits, and costs of rice production. Results indicate that female-headed farm households, despite having limited access to land, have higher values of rice production than their male counterparts. However, female-headed households have higher fixed, seed and labor input costs, consequently earning lower profits. In addition, female-headed farm households have lower irrigation costs. Findings from this study also indicate that women are less efficient in farming, but are more likely to adopt improved seed varieties.     

Rice production response in Cambodia

This study estimates rice production response using the Cambodia Socioeconomic Surveys conducted in 2004 and 2007. The results indicate that agricultural productivity is far below its potential and can be increased substantially by using modern technology and inputs such as fertilizer and irrigation. Our findings also suggest that the Cambodian government needs to design its investment strategy to improve rural infrastructure, including irrigation, transportation, and electricity, in order to increase its agricultural production and productivity and boost farmers’ income.     

Sources of agricultural productivity growth and stagnation in sub-Saharan Africa

This paper examines sources of agricultural growth in sub-Saharan Africa. Growth in the stock of traditional inputs (land, labor, livestock) remains the dominant source of output growth. Growth in modern input use was of secondary importance, but still accounted for a 0.2-0.4% annual growth rate in three of four sub-regions. Econometric results support earlier studies that suggest that land abundance may be a constraint on land productivity growth. Growth in agricultural exports and historic caloric availability had positive impacts on productivity. These latter results suggest that positive feedback effects exist between export performance and food security on one hand and agricultural productivity on the other.     

Market imperfections,access to information and technology adoption in Uganda: challenges of overcoming multiple constraints

Limited empirical evidence exists on how multiple binding constraints influence the adoption of improved technologies by smallholder farmers. This article uses the case of groundnut variety adoption in Uganda to investigate the role of information, seed supply, and credit constraints in conditioning technology uptake. New data from a household survey in seven groundnut growing districts (n = 945) indicate that 8% of farmers lack information on new varieties, while 18% and 6% of farmers, respectively, cannot adopt mainly due to seed supply and capital constraints. A tobit‐type specification that considers all nonadopters as being uninterested in the technology (i.e., corner solutions) would lead to inconsistent parameter estimates and incorrect conclusions in this context. We therefore estimate a modified multi‐hurdle specification of demand for new varieties, taking into account how information, seed supply, and capital constraints jointly determine adoption probability and intensity. The study reveals new empirical insights on why agricultural technology adoption in Africa has lagged behind: slow uptake is not mainly due to a lack of economic incentives, but rather a reflection of information, seed supply, and credit constraints that prevent farmers from translating their desired demand into adoption of modern varieties. Policy implications are discussed.