Towards a feminization of agricultural labour in northwest Syria

Smallholdings in the rural areas of northwest Syria are a result of land fragmentation that is due to inheritance. Because of rapid population growth combined with land fragmentation, these smallholdings are increasing and cannot sustain the rural households whose sizes and needs are also increasing rapidly. This situation has led to increasing numbers of mates migrating to urban areas in Syria and to neighbouring countries looking for work opportunities. In addition, recent agricultural intensification trends seem to have led to the emergence of a waged labour force which, in the absence of male workers owing to significant rates of migration, is now predominantly female. Agricultural labour use depends upon household characteristics and resources (type of labour used, gender of labour waged/exchanged/familial). The article attempts to present a comprehensive analysis of household labour use in distinctive farming systems in one region of Syria that has undergone great change in recent decades, and examines the changes in the composition of the agricultural labour force. Secondary information, rapid rural appraisals and formal farm surveys were used to gather information on the households in a study area where different farming systems coexist. The results show that the decrease in landholding size, the resulting male migration, and land intensification have resulted in the expansion of female labour in agricultural production, which has been termed in this research a 'feminization of agricultural labour'. This suggests that agricultural research and extension services will have to work more with women farmers and farm workers, seek their wisdom and involve them in technology and tran, fer This is not easy in conservative societies but requires research and extension institutions to take this reality into consideration in their programmes.

A tractable means of correcting sector level TFP calculations in the face of biased technological change.

The measurement of the impact of technical change has received significant attention within the economics literature. One popular method of quantifying the impact of technical change is the use of growth accounting index numbers. However, in a recent article Nelson and Pack (1999) criticise the use of such index numbers in situations where technical change is likely to be biased in favour of one or other inputs. In particular they criticise the common approach of applying observed cost shares, as proxies for partial output elasticities, to weight the change in quantities which they claim is only valid under Hicks neutrality. Recent advances in the measurement of product and factor biases of technical change developed by Balcombe et al (2000) provide a relatively straight-forward means of correcting product and factor shares in the face of biased technical progress. This paper demonstrates the correction of both revenue and cost shares used in the construction of a TFP index for UK agriculture over the period 1953 to 2000 using both revenue and cost function share equations appended with stochastic latent variables to capture the bias effect. Technical progress is shown to be biased between both individual input and output groups. Output and input quantity aggregates are then constructed using both observed and corrected share weights and the resulting TFPs are compared. There does appear to be some significant bias in TFP if the effect of biased technical progress is not taken into account when constructing the weights

Measuring productivity growth when technological change is biased - a new index and an application to UK agriculture

Productivity growth is conventionally measured by indices representing discreet approximations of the Divisia TFP index under the assumption that technological change is Hicks-neutral. When this assumption is violated, these indices are no longer meaningful because they conflate the effects of factor accumulation and technological change. We propose a way of adjusting the conventional TFP index that solves this problem. The method adopts a latent variable approach to the measurement of technical change biases that provides a simple means of correcting product and factor shares in the standard Tornqvist-Theil TFP index. An application to UK agriculture over the period 1953-2000 demonstrates that technical progress is strongly biased. The implications of that bias for productivity measurement are shown to be very large, with the conventional TFP index severely underestimating productivity growth. The result is explained primarily by the fact that technological change has favoured the rapidly accumulating factors against labour, the factor leaving the sector. (C) 2004 Elsevier B.V. All rights reserved.