Efficiency in agricultural production: the case of peasant farmers in eastern Paraguay

This paper contributes to the productivity literature in developing country agriculture by quantifying the level of efficiency for a sample of peasant farmers from Eastern Paraguay. A stochastic efficiency decomposition methodology is used to derive technical, allocative and economic efficiency measures separately for cotton and cassava. An average economic efficiency of 40.1% for cotton and of 52.3% for cassava is found, which suggests considerable room for productivity gains for the farms in the sample through better use of available resources given the state of technology. Gains in output through productivity growth have become increasingly important to Paraguay as the opportunities to bring additional virgin lands into cultivation have significantly diminished in recent years. No clear strategy to improve farm productivity could be gleaned from an examination of the relationship between efficiency and various socioeconomic variables. One possible explanation for this finding is the existence of a stage of development threshold below which there is no consistent relationship between socioeconomic variables and productivity. If this is the case, then our results suggest that this sample of Paraguayan peasants are yet to reach such a threshold. Hence, improvements in educational and extension services, for example, would be needed to go beyond this threshold. Once this is accomplished, additional productivity gains would be obtained by further investments in human capital and related factors.     

Do Formula or Competitive Grant Funds Have Greater Impacts on State Agricultural Productivity?

This article examines the impact of public agricultural research and extension on agricultural total factor productivity at the state level. The objective is to establish whether federal formula or competitive grant funding of agricultural research has a greater impact on state agricultural productivity. A pooled cross-section time-series model of agricultural productivity is fitted to annual data for forty-eight contiguous states over 1970–1999. Our results show that public agricultural research and agricultural extension have statistically significant positive impacts on state agricultural productivity. In addition, Hatch formula funding has a larger impact on agricultural productivity than federal competitive grant funding, and a reallocation of Hatch formula funds to competitive grant funding would lower agricultural productivity. This seems unlikely to be a socially optimal policy. Furthermore, from a cost–benefit perspective, our study shows that the social marginal annualized real rate of return to public resources invested in agricultural research is 49–62%, and to public agricultural extension, the rate is even larger.     

A Model of Occupational Choice Applied to Rural Kenya

Abstract: The paper studies occupational patterns in rural Kenya using a large cross-sectional data collected from farm households in seven districts. Consistent with the agrarian nature of the Kenyan economy, we find that 74 per cent of rural households have farming as their principal occupation. The remaining 26 per cent are engaged in nonfarm activities. The existing rural occupational structure is shown to be a consequence of rational career decisions of households. Education and proximity to market centers are the key factors in the transformation of occupational structure in rural Kenya. Résumé: Cet article analyse les schémas de choix professionnels dans les zones rurales du Kenya en se basant sur un vaste esnemble de données recueillies auprès des ménages ruraux de sept districts. Comme le laissait présager le caractère agricole de l'économie kényane, 74 pour cent des ménages ruraux ont l'agriculture pour activité principale; les 26 pour cent restants sont engagés dans des activités non agricoles. Il est démontré que la structure actuelle des choix de professions dans les zones rurales découle de décisions rationnelles prises par les ménages. L'éducation et la proximité des centres de commercialisation sont les facteurs prépondérants qui conditionnent la transformation des schémas professionnels dans les zones rurales du Kenya.     

Introduction: Invention Input–Output Analysis

The papers in this issue are directed towards the development of invention input–output (I(IO)) coefficients. They discuss the procedures for creating I(IO) coefficients using the Yale Technology Concordance, which assigns patented inventions to the industry of manufacture and sector of use, utilizing the International Patent Class system. Tests of reliability of the I(Io) coefficients and their use in economic studies are reported.     

Technology capital: the price of admission to the growth club

We assess long-run patterns of global agricultural productivity growth between 1970 and 2005 and examine the relationship between investments in technology capital and productivity. To measure agricultural total factor productivity (TFP) we employ a Solow-type growth accounting method to decompose output growth into input and TFP growth. For technology capital we construct two indexes reflecting national capacities in agricultural research and education-extension for 87 developing countries. We then correlate technology capital levels with long-term growth rates in agricultural TFP. Our findings show that global agricultural TFP growth as a whole accelerated since 1980, although performance was very uneven across developing countries. TFP growth rates were significantly influenced by technology capital. Marginal improvements to research capacity, given a minimal level of extension and schooling existed, were associated with faster TFP growth. However, marginal increases in extension-schooling without commensurate improvements in research capacity did not improve productivity performance.     

Industrial Productivity Growth Linkages Between OECD Countries, 1970–90

Technology ‘spillovers’ are increasingly being recognized as sources of productivity growth. International ‘convergence’ in productivity levels has also been noted in recent studies. This paper reports a study of international total factor productivity (TFP) growth for 11 industrial sectors in seven OECD countries. Spillover variables are defined based on interindusty and international invention input–output (I(IO)) weights. These variables are tested against import-weighted variables. The study concludes that I(IO)-weighted R&D ‘spill-ins’ are important determinants of TFP growth and that convergence is dependent on domestic RBD.     

On the strength of intellectual property protection that nations provide

Researchers studying the commitment of countries to intellectual property rights run into the claim that the technology-haves (the developed countries) opt for relatively stronger protection of intellectual property, whereas the technology-have-nots (the developing countries) opt for weaker protection. It is but a short step from this assertion to the claim that this results in huge trade losses for the former. Using cross-national panel data for 1981–2000 we find that the evidence is only weakly consistent with this conjecture at best; and that the technology-have-nots more likely provided weaker protection due to paucity of financial resources and human capital, and their inward-looking trade-orientation.