Factors Influencing Recent Productivity Growth—Report On a Survey of Companies

1982 ◽  
Vol 101 ◽  
pp. 57-66 ◽  
Author(s):  
G.C. Wenban-Smith
Keyword(s):  
Productivity Growth ◽  
Manufacturing Industries ◽  
Productivity Slowdown ◽  
Factors Influencing ◽  
Half Decade

Last year was marked by what appears to have been an unprecedented improvement in the productivity of manufacturing industries. The previous half-decade was distinguished by a productivity slowdown. This article considers recent movements in productivity at Industrial Order level, and reports the results of a survey, carried out at the end of 1981, on the factors which had been important in determining companies' productivity growth through the seventies.

scholarly journals Characterizing the Difference between Indirect and Direct CO2 Emissions: Evidence from Korean Manufacturing Industries, 2004–2010

2018 ◽  
Vol 10 (8) ◽  
pp. 2711 ◽  
Author(s):  
Sinwoo Lee ◽  
Dong-Woon Noh ◽  
Dong-hyun Oh
Keyword(s):  
Carbon Emissions ◽  
Productivity Growth ◽  
Manufacturing Sector ◽  
Manufacturing Industries ◽  
Productivity Index ◽  
End User ◽  
Shipbuilding Industry ◽  
Industrial Sectors ◽  
Green Productivity ◽  
The Difference

This study measures and decomposes green productivity growth of Korean manufacturing industries between 2004 and 2010 using the Malmquist-Luenberger productivity index. We focus on differences in the measures of productivity growth by distinguishing carbon emissions from either end-user industries or the electricity generation industry. Empirical results suggest three main findings. First, the efficiency of total emissions is higher than that of direct emissions except for the shipbuilding industry. Second, green productivity in the manufacturing sector increased during the study period. Finally, green productivity depends on the indirect emissions of each industry. These results indicate that policymakers need to deliberately develop policy tools for mitigating carbon emissions of the manufacturing industrial sectors based on our empirical findings.

REGIME-SWITCHING PRODUCTIVITY GROWTH AND BAYESIAN LEARNING IN REAL BUSINESS CYCLES

2019 ◽  
pp. 1-27
Author(s):  
Sami Alpanda
Keyword(s):  
Incomplete Information ◽  
Productivity Growth ◽  
Regime Switching ◽  
Bayesian Learning ◽  
Projection Methods ◽  
Real Business Cycles ◽  
Productivity Slowdown ◽  
Tfp Growth ◽  
Maximum Likelihood Methods ◽  
The Usa

Growth in total factor productivity (TFP) in the USA has slowed down significantly since the mid-2000s, reminiscent of the productivity slowdown of the 1970s. This paper investigates the implications of a productivity slowdown on macroeconomic variables using a standard real business cycle (RBC) model, extended with regime-switching in trend productivity growth and Bayesian learning regarding the growth regime. I estimate the Markov-switching parameters using US data and maximum-likelihood methods, and compute the model solution using global projection methods. Simulations reveal that, while adding a regime-switching component to the standard RBC setup increases the volatility in the system, further incorporating incomplete information and learning significantly dampens this effect. The dampening is mainly due to the responses of investment and labor in response to a switch in the trend component of TFP growth, which are weaker in the incomplete information case as agents mistakenly place some probability that the observed decline in TFP growth is due to the transient component and not due to a regime switch. The model offers an objective way to infer slowdowns in trend productivity, and suggests that macroeconomic aggregates in the USA are currently close to their potential levels given observed productivity, while counterfactual simulations indicate that the cost of the productivity slowdown to US welfare has been significant.

scholarly journals Declining Dynamism, Allocative Efficiency, and the Productivity Slowdown

2017 ◽  
Vol 107 (5) ◽  
pp. 322-326 ◽  
Author(s):  
Ryan A. Decker ◽  
John Haltiwanger ◽  
Ron S. Jarmin ◽  
Javier Miranda
Keyword(s):  
Productivity Growth ◽  
Allocative Efficiency ◽  
High Growth ◽  
Firm Level ◽  
Productivity Slowdown ◽  
Level Data ◽  
Firm Level Data ◽  
Job Reallocation ◽  
Firm Activity ◽  
Growth Distribution

A large literature documents declining measures of business dynamism including high-growth young firm activity and job reallocation. A distinct literature describes a slowdown in the pace of aggregate labor productivity growth. We relate these patterns by studying changes in productivity growth from the late 1990s to the mid 2000s using firm-level data. We find that diminished allocative efficiency gains can account for the productivity slowdown in a manner that interacts with the within-firm productivity growth distribution. The evidence suggests that the decline in dynamism is reason for concern and sheds light on debates about the causes of slowing productivity growth.

CAUSALITY BETWEEN EXPORTS AND PRODUCTIVITY IN THE MALAYSIAN ECONOMY

2011 ◽  
Vol 56 (03) ◽  
pp. 377-395 ◽  
Author(s):  
NURHANI ABA IBRAHIM
Keyword(s):  
Error Correction ◽  
Empirical Evidence ◽  
Granger Causality ◽  
Labor Productivity ◽  
Productivity Growth ◽  
Capital Intensity ◽  
Manufacturing Industries ◽  
Error Correction Mechanism

Empirical evidence linking exports and productivity growth has been mixed and inconclusive. This study re-examines the direction of the causality between them for Malaysian industries by using the error-correction mechanism and Granger causality models. In a panel of 63 manufacturing industries, for the period of 1981 to 1999, it is found that these industries support the export-led growth and the growth-driven export hypotheses. A further look into the results indicates that there are possibilities of indirect causalities between productivity growth and export through size and capital intensity, as both exports and labor productivity have bidirectional causality with size and capital intensity.

scholarly journals Return of the Solow Paradox? IT, Productivity, and Employment in US Manufacturing

2014 ◽  
Vol 104 (5) ◽  
pp. 394-399 ◽  
Author(s):  
Daron Acemoglu ◽  
David Autor ◽  
David Dorn ◽  
Gordon H. Hanson ◽  
Brendan Price
Keyword(s):  
Productivity Growth ◽  
Manufacturing Industries ◽  
Technological Changes ◽  
Limited Support ◽  
Manufacturing Productivity ◽  
It Productivity

An increasingly influential 'technological-discontinuity' paradigm suggests that IT-induced technological changes are rapidly raising productivity while making workers redundant. This paper explores the evidence for this view among the IT-using US manufacturing industries. There is some limited support for more rapid productivity growth in IT-intensive industries depending on the exact measures, though not since the late 1990s. Most challenging to this paradigm, and to our expectations, is that output contracts in IT-intensive industries relative to the rest of manufacturing. Productivity increases, when detectable, result from the even faster declines in employment.

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