Agricultural Production Functions Estimated From Aggregate Intercountry Observations

Author : Veerabhadrappa Bellundagi
Publisher : Amazon Publishers, USA
ISBN 13 :
Total Pages : pages
Book Rating : 4.6/5 (692 download)

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Download or read book Different approaches for estimation of total factor productivity written by Veerabhadrappa Bellundagi and published by Amazon Publishers, USA. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Total-factor productivity (TFP) is a variable which accounts for effects in total output not caused by traditionally measured inputs of labour and capital. If all inputs are accounted for, then total factor productivity can be taken as a measure of an economy’s long-term technological change or technological dynamism, scale of economies and efficiency.TFP is regarded as the more accurate productivity measure than the partial productivity measure. The broader the coverage of resources, the better is the productivity measure. The best measure is one that compares output with the combined use of all resources” (Chandel, 2007). TFP is the change in output relative to a weighted combination of all inputs, where the weights are factor shares. Some authors also define TFP as contribution of non-traditional inputs to output. For example non inputs were technology, irrigation, infrastructure, managerial skills and so on.The calculated TFP is decomposed in to a) Scale of economies b) Technical change and c) Residual or Efficiency or Management to know the contribution of non-conventional inputs to the output growth.There are different approaches for estimation of TFP, such as Production function approach, Growth accounting approach and Non-Parametric approach.World ScenarioCoelli, et al., 2003, conducted a study on Total Factor Productivity growth in Agriculture: A Malmquist index analysis of 93 Countries. The results shown that, Asia as a region posted the highest TFP growth of 2.9 percent followed by North America (consisting of USA and Canada), Australasia, Europe, Africa and South America. South America has posted the lowest growth rate of 0.6 per cent followed by Africa with 1.3 per cent growth in TFP. A surprising result is that over the period 1980-2000. The results on continent-level information for six regions revealed that, the largest difference occurs for South and Central America, where the average TFP growth measure increases from 0.6 percent to 1.5 per cent per annum.Country ScenarioChand et al., 2011, estimated average annual TFP growth for the major crops cultivated in India. Among cereals, wheat experienced the highest growth in TFP index during the three decades from 1975 to 2005. Among pulses, the TFP growth was estimated to be 0.5 per cent for moong, followed by gram (0.2 per cent). TFP for Arhar and Urad crops displayed a decline over the past three decades. The TFP is a useful indicator of changes in long-term productivity. The TFP growth (TFPG) in the oilseed sector varied in the range 0.7-0.8 per cent per annum.An attempt was made to analyze the TFP of ragi in Karnataka. The results shown that, TFP for ragi increased from 1.17 during 1999 to 1.81 in 2013. The TFP fell to 0.61 in 2011 and 0.67 in 2008 due to drought during that period. The highest TFP index was observed in 2007-08 (2.18). The average TFP index for 15 years was 1.12.The output index of ragi increased from 1.40 in 1999 to 1.79 in 2013. The average input index of ragi was 1.14 for fifteen years.Suresh, K. 2013, conducted a study on Economic impact of public sector agricultural research in ragi and redgram in Karnataka. The results revealed that, the Total Factor Productivity index of redgram grew at the rate of 3.31 per cent per annum and that of ragi grew at 4.75 per cent per annum. Thus, Public research significantly contributed to TFP growth in ragi.ConclusionTotal factor productivity can be estimated by different approaches. In growth accounting approach the tornqvist-thiel index is commonly used which is based on translog production function. The TFP decomposition analysis helps to identify factors which influence the total factor productivity growth. The results of the decomposition analysis indicate which variable contribute to growth in productivity. This will enable policy makers to suggest plan and programmes to achieve total factor productivity growth.