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Measurement of U.S. Agricultural Productivity

Measurement of U.S. Agricultural Productivity
Author: United States. Department of Agriculture. National Economics Division
Publisher:
Total Pages: 62
Release: 1980
Genre: Agricultural productivity
ISBN:

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Agricultural Productivity

Agricultural Productivity
Author: Virgil Ball
Publisher: Springer Science & Business Media
Total Pages: 337
Release: 2012-12-06
Genre: Business & Economics
ISBN: 1461508517

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Agricultural Productivity: Measurement and Sources of Growth addresses measurement issues and techniques in agricultural productivity analysis, applying those techniques to recently published data sets for American agriculture. The data sets are used to estimate and explain state level productivity and efficiency differences, and to test different approaches to productivity measurement. The rise in agricultural productivity is the single most important source of economic growth in the U.S. farm sector, and the rate of productivity growth is estimated to be higher in agriculture than in the non-farm sector. It is important to understand productivity sources and to measure its growth properly, including the effects of environmental externalities. Both the methods and the data can be accessed by economists at the state level to conduct analyses for their own states. In a sense, although not explicitly, the book provides a guide to using the productivity data available on the website of the U.S. Department of Agriculture/Economic Research Service. It should be of interest to a broad spectrum of professionals in academia, the government, and the private sector.


Agricultural Productivity

Agricultural Productivity
Author: Susan M. Capalbo
Publisher: Routledge
Total Pages: 423
Release: 2015-08-11
Genre: Nature
ISBN: 1317375793

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This book, first published in 1988, provides a comprehensive, integrated body of knowledge concerning agricultural productivity research, highlighting both its strengths and limitations. This book will be of value to scholars and research leaders for the knowledge it conveys of future productivity research, and will also be of interest to students of environmental studies.


Technical Change, Human Capital, and Spillovers in United States Agriculture, 1949-1985

Technical Change, Human Capital, and Spillovers in United States Agriculture, 1949-1985
Author: Klaus W. Deininger
Publisher: Routledge
Total Pages: 177
Release: 2019-08-06
Genre: Nature
ISBN: 1000681564

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First published in 1995. Based on a detailed adjustment for the quality of inputs and outputs, this study develops state-level measures for total factor productivity growth in US agriculture which are used to determine (i) the presence and determinants of convergence across states; (ii) the contribution of individual factors of production to productivity growth; (iii) the importance of spillovers across states; (iv) the economic effects of, returns to, and factor biases of research and extension. This title will be of great interest to students of economics and agriculture.


Different approaches for estimation of total factor productivity

Different approaches for estimation of total factor productivity
Author: Veerabhadrappa Bellundagi
Publisher: Amazon Publishers, USA
Total Pages:
Release:
Genre: Reference
ISBN:

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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.


Agricultural Productivity Growth in the United States

Agricultural Productivity Growth in the United States
Author: Sun Ling Wang
Publisher:
Total Pages: 72
Release: 2015
Genre: Agricultural productivity
ISBN:

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U.S. agricultural output more than doubled between 1948 and 2011, with growth averaging 1.49 percent per year. With little growth in total measured use of agricultural inputs, the extraordinary performance of the U.S. farm sector was driven mainly by increases in total factor productivity (TFP--measured as output per unit of aggregate input). Over the last six decades, the mix of agricultural inputs used shifted significantly, with increased use of intermediate goods (e.g., fertilizer and pesticides) and less use of labor and land. The output mix changed as well, with crop production growing faster than livestock production. Based on econometric analysis of updated (1948-2011) TFP data, this study finds no statistical evidence that longrun U.S. agricultural productivity has slowed over time. Model-based projections show that in the future, slow growth in research and development investments may have only minor effects on TFP growth over the next 10 years but will slow TFP growth much more over the long term.


Productivity Growth in Agriculture

Productivity Growth in Agriculture
Author: Keith Owen Fuglie
Publisher: CABI
Total Pages: 390
Release: 2012
Genre: Technology & Engineering
ISBN: 1845939212

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This volume is written primarily for agricultural economists doing research on productivity. It includes discussions of the theoretical underpinnings of productivity measurement as well as the many practical considerations that go into translating this theory into actual measures of aggregated outputs and inputs. The unifying concept of agricultural productivity used across the chapters of this volume is aggregate total factor productivity (TFP) of the sector. The volume also contains detailed analysis of the underlying causes of agricultural productivity growth. Part I (chapters 2-6) examines agricultural productivity in high-income and transition countries. Part II (chapters 7-11) examines agricultural productivity growth and its driving forces in five important agricultural producers in Asia and Latin America. Part III (chapters 12-14) focuses on measuring and identifying constraints to agricultural productivity growth in sub-Saharan Africa. Part IV (chapters 15-16) gives a global perspective on agricultural productivity.