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Zhongyang Zhang - One of the best experts on this subject based on the ideXlab platform.
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Productivity Growth technical progress and efficiency change in industrialized countries
The American Economic Review, 2016Co-Authors: Rolf Färe, Shawna Grosskopf, Mary Norris, Zhongyang ZhangAbstract:This paper analyzes Productivity Growth in 17 OECD countries over the period 1979-1988. A nonparametric programming method (activity analysis) is used to compute Malmquist Productivity indexes. These are decomposed into two component measures, namely, technical change and efficiency change. We find that U.S. Productivity Growth is slightly higher than average, all of which is due to technical change. Japan's Productivity Growth is the highest in the sample, with almost half due to efficiency change. (JEL C43, D24) In this paper we apply recently developed
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Productivity Growth technical progress and efficiency change in industrialized countries
The American Economic Review, 1994Co-Authors: Rolf Färe, Shawna Grosskopf, Mary Norris, Zhongyang ZhangAbstract:This paper analyzes Productivity Growth in seventeen OECD countries over the period 1979-88. A nonparametric programming method (activity analysis) is used to compute Malmquist Productivity indexes. These are decomposed into two component measures, namely, technical change and efficiency change. The authors find that U.S. Productivity Growth is slightly higher than average, all of which is due to technical change. Japan's Productivity Growth is the highest in the sample with almost half due to efficiency change. Copyright 1994 by American Economic Association.
Rolf Färe - One of the best experts on this subject based on the ideXlab platform.
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Productivity Growth technical progress and efficiency change in industrialized countries
The American Economic Review, 2016Co-Authors: Rolf Färe, Shawna Grosskopf, Mary Norris, Zhongyang ZhangAbstract:This paper analyzes Productivity Growth in 17 OECD countries over the period 1979-1988. A nonparametric programming method (activity analysis) is used to compute Malmquist Productivity indexes. These are decomposed into two component measures, namely, technical change and efficiency change. We find that U.S. Productivity Growth is slightly higher than average, all of which is due to technical change. Japan's Productivity Growth is the highest in the sample, with almost half due to efficiency change. (JEL C43, D24) In this paper we apply recently developed
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accounting for air pollution emissions in measures of state manufacturing Productivity Growth
Social Science Research Network, 2001Co-Authors: Rolf Färe, Shawna Grosskopf, Carl A PasurkaAbstract:A Malmquist-Luenberger Productivity index is employed to account for both marketed output and the output of pollution abatement activities of U.S. state manufacturing sectors for 1974-1986. The index allows us to decompose the change in Productivity into measures of change in efficiency and technical change. By accounting for the change in emissions, average annual Productivity Growth is 3.6 percent, whereas it is 1.7 percent when emissions are ignored. We also find adjusted Productivity Growth improved after 1977, and "Frost Belt" states with rapidly growing manufacturing sectors have significantly higher rates of Productivity Growth than "Sun Belt" states with slow growing manufacturing sectors.
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Productivity Growth technical progress and efficiency change in industrialized countries
The American Economic Review, 1994Co-Authors: Rolf Färe, Shawna Grosskopf, Mary Norris, Zhongyang ZhangAbstract:This paper analyzes Productivity Growth in seventeen OECD countries over the period 1979-88. A nonparametric programming method (activity analysis) is used to compute Malmquist Productivity indexes. These are decomposed into two component measures, namely, technical change and efficiency change. The authors find that U.S. Productivity Growth is slightly higher than average, all of which is due to technical change. Japan's Productivity Growth is the highest in the sample with almost half due to efficiency change. Copyright 1994 by American Economic Association.
Shawna Grosskopf - One of the best experts on this subject based on the ideXlab platform.
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Productivity Growth technical progress and efficiency change in industrialized countries
The American Economic Review, 2016Co-Authors: Rolf Färe, Shawna Grosskopf, Mary Norris, Zhongyang ZhangAbstract:This paper analyzes Productivity Growth in 17 OECD countries over the period 1979-1988. A nonparametric programming method (activity analysis) is used to compute Malmquist Productivity indexes. These are decomposed into two component measures, namely, technical change and efficiency change. We find that U.S. Productivity Growth is slightly higher than average, all of which is due to technical change. Japan's Productivity Growth is the highest in the sample, with almost half due to efficiency change. (JEL C43, D24) In this paper we apply recently developed
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accounting for air pollution emissions in measures of state manufacturing Productivity Growth
Social Science Research Network, 2001Co-Authors: Rolf Färe, Shawna Grosskopf, Carl A PasurkaAbstract:A Malmquist-Luenberger Productivity index is employed to account for both marketed output and the output of pollution abatement activities of U.S. state manufacturing sectors for 1974-1986. The index allows us to decompose the change in Productivity into measures of change in efficiency and technical change. By accounting for the change in emissions, average annual Productivity Growth is 3.6 percent, whereas it is 1.7 percent when emissions are ignored. We also find adjusted Productivity Growth improved after 1977, and "Frost Belt" states with rapidly growing manufacturing sectors have significantly higher rates of Productivity Growth than "Sun Belt" states with slow growing manufacturing sectors.
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Productivity Growth technical progress and efficiency change in industrialized countries
The American Economic Review, 1994Co-Authors: Rolf Färe, Shawna Grosskopf, Mary Norris, Zhongyang ZhangAbstract:This paper analyzes Productivity Growth in seventeen OECD countries over the period 1979-88. A nonparametric programming method (activity analysis) is used to compute Malmquist Productivity indexes. These are decomposed into two component measures, namely, technical change and efficiency change. The authors find that U.S. Productivity Growth is slightly higher than average, all of which is due to technical change. Japan's Productivity Growth is the highest in the sample with almost half due to efficiency change. Copyright 1994 by American Economic Association.
Almas Heshmati - One of the best experts on this subject based on the ideXlab platform.
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measurement of environmentally sensitive Productivity Growth in korean industries
Journal of Cleaner Production, 2015Co-Authors: Yeimin Chung, Almas HeshmatiAbstract:This study measures Productivity Growth using the Metafrontier Malmquist-Luenberger Productivity Growth index (MML index) method and decomposes the index. The results are compared with those obtained from the conventional Malmquist-Luenberger (ML) Productivity Growth index. MML has two advantages compared with the ML index. The former is able to consider undesirable output as a by-product of production which accounts for producer group heterogeneities. As a result, it enables separation and estimation of changes in the technological gap between regional and global frontier technologies. The proposed index is employed to measure Productivity Growth and decompose its components in 14 Korean industrial sectors during the period between 1981 and 2007. For the purpose of detailed analysis of policy effects, the study period was divided into three decades. The results show that technology innovation can be regarded as a more important factor of Productivity Growth, rather than efficiency change. The chemical and Petrochemical, Machinery and Transport equipment industries are treated as global innovators in the whole period. However, the result differs according to decades. It is found that the groups with higher energy efficient technology and profitability obtain a higher Productivity Growth rate in comparison with their low energy efficient technology industry counterparts. Policy implications of the empirical results are discussed.
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technical change and total factor Productivity Growth for swedish manufacturing and service industries
XI European Workshop on Efficiency and Productivity Analysis Pisa Italy June 23-26 2009, 2009Co-Authors: Donghyun Oh, Almas Heshmati, Hans LoofAbstract:Technical Change And Total Factor Productivity Growth For Swedish Manufacturing And Service Industries
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Productivity Growth efficiency and outsourcing in manufacturing and service industries
Journal of Economic Surveys, 2003Co-Authors: Almas HeshmatiAbstract:This paper is a survey of recent contributions to, and developments of, the relationship between outsourcing, efficiency and Productivity Growth in manufacturing and services. The objective is to provide a thorough and up-to-date survey that provides a significant discussion on data, as well as on the core methods of measuring efficiency and Productivity. First, the readers are introduced to the measurement of partial and total factor Productivity Growth. Different parametric and non-parametric approaches to the Productivity measurement in the context of static, dynamic and firm-specific modelling are discussed. Second, we survey the econometric approach to efficiency analysis. The issues of modelling, distributional assumptions and estimation methods are discussed assuming that cross-sectional or panel data are available. Third, the relationship between outsourcing and Productivity Growth in manufacturing and services is discussed. The correspondence between a number of hypotheses and empirical findings are examined. Examples of varieties of relevant empirical applications, their findings and implications are presented. Fourth, measurement of inputs and outputs in manufacturing and services are discussed. Finally, to promote useful research, a number of factors important to the analysis of outsourcing, efficiency and Productivity Growth in the service sector are summarised.
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Productivity Growth efficiency and outsourcing in manufacturing and service industries
Journal of Economic Surveys, 2003Co-Authors: Almas HeshmatiAbstract:This paper is a survey of recent contributions to, and developments of, the relationship between outsourcing, efficiency and Productivity Growth in manufacturing and services. The objective is to p ...
Ning Zhang - One of the best experts on this subject based on the ideXlab platform.
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a deterministic parametric metafrontier luenberger indicator for measuring environmentally sensitive Productivity Growth a korean fossil fuel power case
Energy Economics, 2015Co-Authors: Ning Zhang, Bing WangAbstract:Abstract This paper contributes to the current literature by proposing an alternative parametric metafrontier Productivity approach called the deterministic parametric metafrontier Luenberger Productivity Indicator (DPMLPI) for measuring environmentally sensitive Productivity Growth incorporating technological heterogeneities. The Luenberger Productivity indicator is constructed based on a quadratic output directional distance function with undesirable outputs, and then combined with the deterministic metafrontier to develop DPMLPI. The DPMLPI can be decomposed into efficiency change, technological change and Productivity Growth gap. The Productivity Growth gap can be further divided into efficiency change gap and technological change gap. The parametric linear programming technique is used to estimate parameters and construct the metafrontier. An empirical study for the Korean fossil fuel power industry at the plant-level is conducted for the 2003–2011 period. The results show a 0.15% increase in environmentally-sensitive Productivity Growth, which is mainly driven by environmental technological change. The oil-fired power plants show higher levels than the coal-fired ones of environmentally sensitive Productivity Growth and technological change performance. Some related policy implications are also proposed for the Korean fossil-fuel power sector.
