Journal of Productivity Analysis
Papers 957
1 page of 96 pages (957 results)
#1Pontus Mattsson (LNU: Linnaeus University)H-Index: 2
#2Jonas Månsson (LNU: Linnaeus University)H-Index: 7
Last.William H. Greene (NYU: New York University)H-Index: 63
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A driving force of economic development is growth in total factor productivity (TFP). Manufactured goods are, to a large extent, exports, and represent an important part of the economy for many developed countries. Additionally, a slowdown in labour productivity has been observed in many OECD countries since the financial crisis of 2008–2009. This study investigates TFP change and its components for the Swedish manufacturing industry, compared with the private service sector, during the years 19...
#1Almas Heshmati (Sogang University)H-Index: 32
#2Masoomeh Rashidghalam (University of Tabriz)H-Index: 1
This paper models and estimates total factor productivity (TFP) growth parametrically. The model is a generalization of the traditional production model where technology is represented by a time trend. TFP growth is decomposed into unobservable technical change, scale economies and observable technology shifter index components. The empirical results are based on an unbalanced panel data at the global level for 190 countries observed over the period 1996-2013. A number of exogenous growth factor...
#1Pavlos Almanidis (EY: Ernst & Young)H-Index: 3
#2Mustafa U. Karakaplan (Governors State University)
Last.Levent Kutlu (University of Texas at Austin)
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Common/Single frontier methodologies that are used to analyze bank efficiency and performance can be misleading because of the homogeneous technology assumption. Using the U.S. banking data over 1984-2010, our dynamic methodology identifies a few data-driven thresholds and distinct size groups. Under common frontier assumption, the largest banks appear to be 22% less efficient on average than how they are in our model. Also, in the common frontier model, smaller banks seem to be relatively more ...
#1Xiaoheng Zhang (HAU: Huazhong Agricultural University)
#2Xiaohua Yu (GAU: University of Göttingen)H-Index: 17
Last.Yingheng Zhou (Jiangxi University of Finance and Economics)
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The relationship between farm size and production cost, especially inefficiency cost, has been a hotly debated topic for decades, but no general conclusion has been reached. This subject has particularly important implications for agricultural policies in China, which is in the course of rapid structural change. We decompose the production cost into frontier cost, technical inefficiency cost and allocative inefficiency cost with a primal system approach, and we demonstrate that technical ineffic...
#1Finn R. Førsund (University of Oslo)H-Index: 30
#2Ke Wang (BIT: Beijing Institute of Technology)
The typical textbook production theory for a single production unit, assuming substitution possibilities both ex ante and ex post between all factors of production, may not be so well suited for understanding structural change within industries characterised by embodied technical change and a significant presence of capital equipment that represents sunk cost. In the literature an industry function is often based on just aggregating micro-level data to the industry level, or scaling up an averag...
#1Nusrat Abedin Jimi (Binghamton University)H-Index: 1
#2Plamen Nikolov (Binghamton University)H-Index: 6
Last.Subal C. Kumbhakar (Binghamton University)H-Index: 45
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Improving productivity among microenterprises is important, especially in low-income countries where market imperfections are pervasive, and resources are scarce. Relaxing credit constraints can increase the productivity of microenterprises. Using a field experiment involving agricultural microenterprises in Bangladesh, we estimated the impact of access to credit on the overall productivity of rice farmers and disentangled the total effect into technological change (frontier shift) and technical...
#1Christine Amsler (MSU: Michigan State University)H-Index: 10
#2Peter Schmidt (MSU: Michigan State University)H-Index: 56
Last.Wen-Jen Tsay (AS: Academia Sinica)H-Index: 8
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In the stochastic frontier model, the composed error is the sum (or difference) of a normal and a half normal random variable. Often the composed error is linked to other errors using a copula, and evaluation of the copula requires evaluation of the cdf of the composed error. There is no analytical expression for this cdf, though there are several approximations. We propose a computationally efficient simulation based method of evaluation and use it to evaluate the accuracy of these approximatio...
Efficiency analysis is a popular technique used to compare the performances of Decision Making Units (DMUs). Procedures to aggregate DMU-level efficiency and related efficiency concepts to obtain group-specific counterparts have been proposed recently. In this paper, we suggest procedures for the opposite direction: disaggregate DMU-level efficiency and related efficiency concepts into output-specific counterparts. For being largely applicable, based on economic optimization behaviour, easy to u...
#1Eric Njuki (UConn: University of Connecticut)H-Index: 3
#2Boris E. Bravo-Ureta (UConn: University of Connecticut)H-Index: 23
Typical single-factor productivity measures are easy to grasp and to develop but are misleading because they ignore other inputs used in the production process. This study develops a single-factor productivity approach that accounts for conventional inputs as well as observed and unobserved characteristics of the production environment. We then apply this approach to evaluate irrigation productivity in U.S. agriculture using U.S. Department of Agriculture input-output data alongside state-level ...
#1Christopher F. Parmeter (UM: University of Miami)H-Index: 20
#2Alan T.K. WanH-Index: 22
Last.Zhang Xin (CAS: Chinese Academy of Sciences)H-Index: 14
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Model uncertainty is a prominent feature in many applied settings. This is certainty true in the efficiency analysis realm where concerns over the proper distributional specification of the error components of a stochastic frontier model is, generally, still open along with which variables influence inefficiency. Given the concern over the impact that model uncertainty is likely to have on the stochastic frontier model in practice, the present research proposes two distinct model averaging estim...
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Top fields of study
Data envelopment analysis