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Agricultural Productivity Growth (agricultural + productivity_growth)

Distribution by Scientific Domains
Business, Economics, Finance and Accounting80%

Selected Abstracts

Agricultural Productivity Growth and Poverty Alleviation

DEVELOPMENT POLICY REVIEW, Issue 4 2001
Xavier Irz
How important is agricultural growth to poverty reduction? This article first sets out the theoretical reasons for expecting agricultural growth to reduce poverty. Several plausible and strong arguments apply - including the creation of jobs on the land, linkages from farming to the rest of the rural economy, and a decline in the real cost of food for the whole economy - but the degree of impact is in all cases qualified by particular circumstances. Hence, the article deploys a cross-country estimation of the links between agricultural yield per unit area and measures of poverty. This produces strong confirmation of the hypothesised linkages. It is unlikely that there are many other development interventions capable of reducing the numbers in poverty so effectively. [source]

Agricultural productivity growth in traditional and transitional economies in Asia

ASIAN-PACIFIC ECONOMIC LITERATURE, Issue 2 2009
Supawat Rungsuriyawiboon
This paper reports estimates of agricultural productivity growth in Asian countries, with special attention to the transition economies. A parametric output distance function approach is formulated to decompose total factor productivity (TFP) growth into its associated components and to examine how input and output intensities shift in response to the adoption of innovations. The results show that by including the transition economies, Asia achieved healthy TFP growth at an annual average rate of 1.9 per cent. However, TFP growth and its components differ widely across the transition countries and at different stages of the transition periods within these countries. [source]

Explaining agricultural productivity growth: an international perspective

AGRICULTURAL ECONOMICS, Issue 1 2010
Derek Headey
Labor productivity; Multi-output distance function; Total factor productivity Abstract This article presents multi-output, multi-input total factor productivity (TFP) growth rates in agriculture for 88 countries over the 1970,2001 period, estimated with both stochastic frontier analysis (SFA) and the more commonly employed data envelopment analysis (DEA). We find results with SFA to be more plausible than with DEA, and use them to analyze trends across countries and the determinants of TFP growth in developing countries. The central finding is that policy and institutional variables, including public agricultural expenditure and proagricultural price policy reforms, are significant correlates of TFP growth. The most significant geographic correlate of TFP growth is distance to the nearest OECD country. [source]

Agricultural productivity growth in traditional and transitional economies in Asia

ASIAN-PACIFIC ECONOMIC LITERATURE, Issue 2 2009
Supawat Rungsuriyawiboon
This paper reports estimates of agricultural productivity growth in Asian countries, with special attention to the transition economies. A parametric output distance function approach is formulated to decompose total factor productivity (TFP) growth into its associated components and to examine how input and output intensities shift in response to the adoption of innovations. The results show that by including the transition economies, Asia achieved healthy TFP growth at an annual average rate of 1.9 per cent. However, TFP growth and its components differ widely across the transition countries and at different stages of the transition periods within these countries. [source]

Exploring the impact of R&D and climate change on agricultural productivity growth: the case of Western Australia,

AUSTRALIAN JOURNAL OF AGRICULTURAL & RESOURCE ECONOMICS, Issue 4 2010
Ruhul A. Salim
This article empirically examines the impact of R&D and climate change on the Western Australian Agricultural sector using standard time series econometrics. Based on historical data for the period of 1977,2005, the empirical results show that both R&D and climate change matter for long-run productivity growth. The long-run elasticity of total factor productivity (TFP) with respect to R&D expenditure is 0.497, while that of climate change is 0.506. There is a unidirectional causality running from R&D expenditure to TFP growth in both the short run and long run. Further, the variance decomposition and impulse response function confirm that a significant portion of output and productivity growth beyond the sample period is explained by R&D expenditure. These results justify the increase in R&D investment in the deteriorating climatic condition in the agricultural sector to improve the long-run prospects of productivity growth. [source]