Labor productivity measurement in Japanese agriculture, 1956–90

This paper investigates the factors responsible for a drastic decline in the growth rate of labor productivity of the agricultural sector for the 1956–90 period. This investigation is carried out by a newly devised procedure which decomposes the growth rate of labor productivity into (1) the total substitution effect which consists of the effects due to factor price changes and biased technological change, and (2) the TFP effect composed of the effects due to scale economies and technological progress. Based on empirical estimation of the translog cost function, it was found that the total substitution effect contributed to the growth of labor productivity much more than the TFP effect did for the period under question.     

Research and extension expenditures and productivity in Japanese agriculture, 1960–1990

This paper investigates the cause for the decline in the growth of productivity in Japanese agriculture since the late 1960s. For this objective, it investigates the effects of research and extension (R&E) activities on the extent and the direction of the bias of technological change in Japanese agriculture for the period 1960–90 based on the translog cost function framework. Empirical results show that the cost-reducing effects of R&E measured in terms of the absolute value of the cost–R&E elasticity increased slightly from 0.194 in 1960 to 0.205 in 1965 and then decreased consistently to 0.110 in 1990. This finding is broadly consistent with the finding of the decline or slowdown in agricultural productivity since the late 1960s. The bias due to R&E was found to be toward labor, intermediate inputs, and other inputs saving on the one hand, and machinery and land using on the other. Labor-saving and machinery-using biases are consistent with the Hicksian induced innovation hypothesis.     

Productivity and economic growth in Kenyan agriculture, 1964–1996

This paper analyses the patterns of productivity and economic growth in the aggregated Kenyan agriculture between 1964 and 1996. In the 1964–1973 period, the average output growth exceeded 4% but stagnated to an average of 1.2% during 1988–1996. Over the whole period, capital was the most important contributor to output growth. Mean growth rates of intermediate inputs subsequently decreased and were negative in 1988–1996. Labour was the least significant source of growth. The mean total factor productivity growth was less than 0.4% and decreased over time. The contribution of productivity growth to output growth increased from 10.2% in 1964–1973 to 26.8% in 1988–1996.     

Productivity and farm size in Australian agriculture: reinvestigating the returns to scale

A positive relationship between farm size and farm productivity is often considered to be largely due to increasing returns to scale in farm production. However, using farm‐level data for the Australian broadacre industry, we found that constant or mildly decreasing returns to scale is the more typical scenario. In this study, the marginal returns to various farm inputs are compared across farms with different sizes. We found that large farms achieved higher productivity by changing production technology rather than increasing scale alone. The results highlight the disparity between ‘returns to scale’ and ‘returns to size’ in the industry, suggesting that productivity improvement among smaller farms can be made through increasing their ability to access advanced technologies, rather than simply expanding their scale.     

Productivity growth and the returns from public investment in R&D in Australian broadacre agriculture

Investment in R&D has long been regarded as an important source of productivity growth in Australian agriculture. Perhaps because research lags are long, current investment in R&D is monitored closely. Investment in R&D has been flat while productivity growth has remained strong, relative both to other sectors of the Australian economy and to the agricultural sectors of other countries. Such productivity growth, at a time when the decline in terms of trade facing Australian farmers has slowed, may have enhanced the competitiveness of Australian agriculture. The econometric results presented here suggest no evidence of a decline in the returns from research from the 15 to 40 per cent per annum range estimated by Mullen and Cox. In fact the marginal impact of research increases with research over the range of investment levels experienced from 1953 to 2000, a finding which lends support to the view that there is underinvestment in agricultural research. These results were obtained from econometric models which maintain strong assumptions about how investments in research and extension translate into changes in TFP. Hence some caution in interpreting the results is warranted.     

Capital Intensification,Productivity and Exchange – A Class‐Based Analysis of Agriculture in West Bengal in the Current Millennium

This paper deals with capitalist agricultural development in West Bengal, India. Based on a field study of two regions at different ends of the development spectrum, it shows the class‐specific nature of agrarian development. Farms based on hired labour adopt more capital‐intensive techniques, operate on a much larger scale and have higher yields in comparison to farms based on family labour, regardless of their size. Differentiation of the peasantry is intense where the adoption of capital‐intensive technology is high. The paper concludes that the arguments of A.V. Chayanov and A.K. Sen, which seek to explain the inverse relation between farm size and productivity in terms of the superior efficiency of farms based on family labour compared to capitalist farms, are not borne out by our findings. Moreover, in the advanced region of Bardhaman, farmers of all economic classes are found to be subject to a form of compulsive exchange or stressed commerce brought about by traders external to the region.     

Six Decades of Total Factor Productivity Change and Sources of Growth in Bangladesh Agriculture (1948–2008)

This study applies the Färe–Primont index to calculate total factor productivity (TFP) indices for agriculture in 17 regions of Bangladesh covering a 61‐year period (1948–2008). It decomposes the TFP index into six finer components (technical change, technical‐, scale‐ and mix‐efficiency changes, residual scale‐ and residual mix‐efficiency changes). Results reveal that TFP grew at an average rate of 0.57% p.a. led by the Chittagong, Rajshahi, Rangpur, Dinajpur and Noakhali regions. TFP growth is largely powered by technological progress estimated at 0.74% p.a. Technical efficiency improvement is negligible (0.01% p.a.) due to stagnant efficiency in most of the regions. Decline in scale efficiency is also negligible (0.01% p.a.), but the decline in mix efficiency is high at 0.19% p.a. Decomposition of the components of TFP changes into finer measures of efficiency corrects the existing literature’s blame of a decline in technical efficiency as the main cause of poor TFP growth in Bangladesh. Among the sources, farm size, R&D investment, extension expenditure and crop specialisation positively influenced TFP growth, whereas the literacy rate had a negative influence on growth. Policy implications include encouraging investment in R&D and extension, land reform measures to increase average farm size, promotion of Green Revolution technology and crop diversification.     

Considering Technical and Allocative Efficiency in the Inverse Farm Size–Productivity Relationship

In the leading explanations for the oft‐observed inverse relationship (IR) between farm size and productivity in developing country agriculture, labour market imperfections have commonly occupied a central role. However, an emerging literature suggests that disparities in technical or allocative efficiency may be driving productivity differentials. Using nationally‐representative panel data from Nicaragua, we develop and employ a four‐stage empirical framework to simultaneously test the competing explanations for the IR. While efficiency differences exert a significant impact on all productivity indicators, their explanatory power is insufficient to rule out labour market imperfections as the driving force behind the relationship.     

EU Biofuels Sustainability Standards and Certification Systems – How to Seek WTO‐Compatibility

Governments, increasingly, are encouraging the production and consumption of biofuels, as a partial substitute for fossil‐fuel based transport fuels. One reason for this is to contribute to the fight against climate change. Sustainability criteria have been introduced recently by some countries to help ensure biofuels have lower greenhouse gas emissions than fossil fuels. Concerns have been expressed from various quarters that such criteria could represent World Trade Organisation (WTO)‐incompatible barriers to trade. We, first, question recent contributions to the (mainly legal) academic literature which have sought to find ways of allowing biofuels to be treated differently in trade policy terms, based on whether or not they have been derived from feedstocks produced sustainably. We then draw on the Technical Barriers to Trade Agreement (TBTA) to offer guidance as to how to establish WTO‐compatible sustainability criteria. There is little direct case law to draw on at the design stage, but we argue that if TBTA guidance is followed, a long‐term absence of case law could be taken as an indication that the sustainability criteria established are indeed WTO‐compatible.     

Dial “A” for agriculture: a review of information and communication technologies for agricultural extension in developing countries

Agriculture can serve as an important engine for economic growth in developing countries, yet yields in these countries have lagged far behind those in developed countries for decades. One potential mechanism for increasing yields is the use of improved agricultural technologies, such as fertilizers, seeds, and cropping techniques. Public sector programs have attempted to overcome information‐related barriers to technological adoption by providing agricultural extension services. While such programs have been widely criticized for their limited scale, sustainability, and impact, the rapid spread of mobile phone coverage in developing countries provides a unique opportunity to facilitate technological adoption via information and communication technology (ICT)‐based extension programs. This article outlines the potential mechanisms through which ICT could facilitate agricultural adoption and the provision of extension services in developing countries. It then reviews existing programs using ICT for agriculture, categorized by the mechanism (voice, text, internet, and mobile money transfers) and the type of services provided. Finally, we identify potential constraints to such programs in terms of design and implementation, and conclude with some recommendations for implementing field‐based research on the impact of these programs on farmers’ knowledge, technological adoption, and welfare.     

Internet Access and Farm Household Income – Empirical Evidence using a Semi‐parametric Assessment in Taiwan

There is considerable literature examining individuals’ behaviour with respect to Internet use, but less attention is paid to farm household use of the Internet. Among the few studies on farm households, the emphasis is on the correlation between socioeconomic factors and the adoption of the Internet. Thus, relatively little is known about the association between Internet use and farm household well‐being. In an effort to fill this void, this paper investigates Internet access among farm households and examines the effects of Internet access on farm household income. Given the observed income gap between Internet users and non‐users, we then investigate the extent to which socioeconomic factors may be associated with this income gap. Using a nationwide survey of farm households in Taiwan, a novel econometric model is proposed and estimated employing a semi‐parametric technique. Our results support the conclusion that Internet use improves farm household income. Most of the income gap between adopters and non‐adopters can be explained by the differences in the return of the socioeconomic factors.     

Custom‐hired tractor services and returns to scale in smallholder agriculture: a production function approach

Historically, agricultural transformation has often accompanied the increase in the returns to scale. Little direct evidence exists, however, on what actually causes such increase, despite the knowledge of many factors that are associated with this increase. We fill this knowledge gap by testing whether hiring in tractor services has raised returns to scale in agriculture at the household level in Nepal Terai that has undergone rapid growth in the tractor use through custom‐hiring services. Using Switching Regression and Inverse‐Probability‐Weighted Generalized Method of Moments, we address two sources of endogeneity involved with the estimation of returns to scale; (1) farmers’ self‐selection on whether to hire in tractor services and (2) use of inputs in the production function. For both Cobb‐Douglas and Translog production function specifications, we find that hiring in tractor services significantly increased the returns to scale in agricultural production by about 0.2 ～ 0.3 among farm households not owning tractors, for which suitable control groups are found. Findings are robust under various alternative specifications.     

Agrarian Change and Labour Supply in Turkey, 1950–1980

Agrarian structures based on small peasant property can have two opposite kinds of impact on urban wages. In the first type, stable smallholder farming bringing high returns puts upward pressure on wages. In the second type, smallholder farming that does not bring sufficient returns leads to semi‐proletarianization in which workers' access to rural sources of income functions as wage subsidy and puts downward pressure on wages. This paper argues that the situation in Turkey between 1950 and 1980 fits the second type. By pointing out the factors that changed the attitude of the migrant labourers towards class struggle from relative passivity to increasing militancy, it suggests that instead of the rural ties of the emerging working class, the main reason behind the dramatic rise in urban wages in Turkey in the 1960s and 1970s was the working‐class struggle throughout the period.     

The structural transformation of African agriculture and rural spaces: introduction to a special section†

This article briefly introduces a special section on the structural transformation of African agriculture and rural spaces. The five papers that comprise this special section all draw on household‐level microdata to explore important aspects of the salient changes taking place in the world's most agrarian and poorest continent.     

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.