Estimation of Productivity and Efficiency of Cotton Farmers

Estimation of Productivity and Efficiency of Cotton Farmers PDF Author: Abdul Hameed
Publisher:
ISBN:
Category :
Languages : en
Pages : 20

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Book Description
This study estimates total technical (TEcrs), pure technical (TEvrs), allocative (AE), and economic (EE) efficiencies of cotton growers in the district Dera Gazi Khan using data envelopment analysis (DEA) technique. The study finds 0.67, 0.94, 0.57, 0.54 and 0.71 average values of the total technical, pure technical, allocative, economic, and scale efficiencies, respectively. The study also tries to investigate the determinants of technical inefficiency of cotton growers and the slacks of inputs. The results indicate that human capital, research and development, and easy access to markets are major determinants of technical efficiency. The output orientation analysis shows that production of cotton can be increased by 6 maunds (240kgs) per acre under present availability of resources. The slack estimates show that 43 percent cost of inputs is used extra and on average Rs.11, 833 per acre can be saved in this account without loss of output4. This study suggests that government should make a strategy to improve irrigation system and provide trainings for optimal utilization of inputs, and ban agro-shops that do not have licenses.

Estimation of Productivity and Efficiency of Cotton Farmers

Estimation of Productivity and Efficiency of Cotton Farmers PDF Author: Abdul Hameed
Publisher:
ISBN:
Category :
Languages : en
Pages : 20

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Book Description
This study estimates total technical (TEcrs), pure technical (TEvrs), allocative (AE), and economic (EE) efficiencies of cotton growers in the district Dera Gazi Khan using data envelopment analysis (DEA) technique. The study finds 0.67, 0.94, 0.57, 0.54 and 0.71 average values of the total technical, pure technical, allocative, economic, and scale efficiencies, respectively. The study also tries to investigate the determinants of technical inefficiency of cotton growers and the slacks of inputs. The results indicate that human capital, research and development, and easy access to markets are major determinants of technical efficiency. The output orientation analysis shows that production of cotton can be increased by 6 maunds (240kgs) per acre under present availability of resources. The slack estimates show that 43 percent cost of inputs is used extra and on average Rs.11, 833 per acre can be saved in this account without loss of output4. This study suggests that government should make a strategy to improve irrigation system and provide trainings for optimal utilization of inputs, and ban agro-shops that do not have licenses.

Cotton Production and Farm Income Estimates Under Selected Alternative Farm Programs

Cotton Production and Farm Income Estimates Under Selected Alternative Farm Programs PDF Author: P. L. Strickland
Publisher:
ISBN:
Category : Cotton growing
Languages : en
Pages : 48

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Book Description


Different approaches for estimation of total factor productivity

Different approaches for estimation of total factor productivity PDF Author: Veerabhadrappa Bellundagi
Publisher: Amazon Publishers, USA
ISBN:
Category : Reference
Languages : en
Pages :

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Book Description
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.

Measurement of Productivity and Efficiency

Measurement of Productivity and Efficiency PDF Author: Robin C. Sickles
Publisher: Cambridge University Press
ISBN: 110703616X
Category : Business & Economics
Languages : en
Pages : 631

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Book Description
Provides a comprehensive approach to productivity and efficiency analysis using economic and econometric theory.

Agricultural Productivity

Agricultural Productivity PDF Author: Susan M. Capalbo
Publisher: Routledge
ISBN: 1317375793
Category : Nature
Languages : en
Pages : 423

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Book Description
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.

Living Under Contract

Living Under Contract PDF Author: Peter D. Little
Publisher: Univ of Wisconsin Press
ISBN: 9780299140649
Category : Business & Economics
Languages : en
Pages : 324

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Book Description
Wracked by poverty, famine, and drought, Africa is typically represented as agriculturally stagnant, backward, and crisis-prone. Living Under Contract, however, highlights the dynamic, changing character of sub-Saharan agrarian systems by focusing on contract farming. A relatively new and increasingly widespread way of organizing peasant agriculture, contract farming promotes production of a wide variety of crops--from flowers to cocoa, from fresh vegetables to rice--under contract to agribusinesses, exporters, and processers. The proliferation of African growers producing under contract is in fact part of broader changes in the global agro-food system. In this examination of agricultural restructuring and its effect upon various African societies, editors Peter Little and Michael Watts bring together anthropologists, economists, geographers, political scientists, and sociologists to explore the origins, forms, and consequences of contract production in several African countries, particularly Kenya, the Gambia, Zimbabwe, and the Ivory Coast. Documenting how contract production links farmers, agribusiness, and the state, the contributors examine problematic aspects of this method of agrarian reform. Their case studies, based on long-term field work and analysis on the village and household level, chart the complex effects of contract production on the organization of work and the labor process, rural inequality, gender relations, labor markets, local accumulation strategies, and regional development. Living Under Contract reveals that contract farming represents a distinctive form in which African growers are incorporated into national and world markets. Contract production, which has been a central feature of the agricultural landscape in the advanced capitalist states, is an emerging strategy for "capturing peasants" and for confronting the agrarian question in the late twentieth century.

Changes in Farm Production and Efficiency

Changes in Farm Production and Efficiency PDF Author: United States. Department of Agriculture
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 40

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Book Description


Measurement of U.S. Agricultural Productivity

Measurement of U.S. Agricultural Productivity PDF Author: United States. Department of Agriculture. National Economics Division
Publisher:
ISBN:
Category : Agricultural productivity
Languages : en
Pages : 62

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Book Description


An Introduction to Efficiency and Productivity Analysis

An Introduction to Efficiency and Productivity Analysis PDF Author: Timothy J. Coelli
Publisher: Springer Science & Business Media
ISBN: 9780387242651
Category : Business & Economics
Languages : en
Pages : 376

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Book Description
Softcover version of the second edition Hardcover. Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement. Numerous topics are being added and more applications using real data, as well as exercises at the end of the chapters. Data sets, computer codes and software will be available for download from the web to accompany the volume.

Measurement and Analysis of Performance of Industrial Crop Production: The Case of Iran’s Cotton and Sugar Beet Production

Measurement and Analysis of Performance of Industrial Crop Production: The Case of Iran’s Cotton and Sugar Beet Production PDF Author: Masoomeh Rashidghalam
Publisher: Springer
ISBN: 9811300925
Category : Business & Economics
Languages : en
Pages : 139

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Book Description
This book employs different parametric and non-parametric panel data models which have been used in history of developed panel data efficiency measurement literature. It assesses the differences of models based on characteristics and efficiency scores measurement using a systematic sensitivity analysis of the results. On the whole twelve parametric and four nonparametric models were studied. Parametric models are classified in four groups in terms of the assumptions made on the temporal behavior of inefficiency. A common issue among all the parametric models is that inefficiency is individual producer-specific. This is consistent with the notion of measuring the efficiency of decision-making units. Non-parametric models are divided into partial and full frontier models. A main contribution of this volume is that it helps to understand differences between parametric and non-parametric models. On empirical part of the volume, technical efficiency of two agricultural strategic crops (cotton and sugar beet) in different provinces of the Iran are analyzed. Using different models, the most efficient and inefficient provinces in cotton and sugar beet production of Iran are recognized.