Environmental Compliance and U.S. Industrial Productivity Growth

2017 ◽  
Author(s):  
Abbas Taheri





2021 ◽  
Vol 24 (3) ◽  
pp. 365-382
Author(s):  
Bernard Njindan Iyke ◽  
Susan Sunila Sharma ◽  
Iman Gunadi

We examine whether the COVID-19-induced policy responses by countries moderated the negative impact of the pandemic on industrial productivity. Using a panel of the 50 most affected countries by the pandemic, we show that the policy responses do not only help reduce the spread of COVID-19, but they also moderate its negative impact on industrial productivity and help steer countries back to their growth paths. We demonstrate that, in the absence of the pandemic, some of the policy responses (i.e., lockdowns, travel restrictions, etc.) would have reduced productivity. We further demonstrate that our estimates are robust when considering alternative specifications of our productivity model. Our study provides strong support for evidence-based policies and emphasizes, consistent with theoretical arguments, that an optimal policymix is fundamental to steering economies back to their steady productivity growth paths when facing negative shocks.





Economica ◽  
1954 ◽  
Vol 21 (84) ◽  
pp. 308
Author(s):  
A. Maddison


2021 ◽  
pp. 105320
Author(s):  
Guohua Feng ◽  
Keith R. McLaren ◽  
Ou Yang ◽  
Xiaohui Zhang ◽  
Xueyan Zhao


2021 ◽  
Vol 81 (1) ◽  
pp. 114-155
Author(s):  
Philip G. Pardey ◽  
Julian M. Alston

Has the golden age of U.S. agricultural productivity growth ended? We analyze the detailed patterns of productivity growth spanning a century of profound changes in American agriculture. We document a substantial slowing of U.S. farm productivity growth, following a late mid-century surge—20 years after the surge and slowdown in U.S. industrial productivity growth. We posit and empirically probe three related explanations for this farm productivity surge-slowdown: the time path of agricultural R&D-driven knowledge stocks; a big wave of technological progress associated with great clusters of inventions; and dynamic aspects of the structural transformation of agriculture, largely completed by 1980.



2015 ◽  
Vol 6 (2) ◽  
pp. 41-51
Author(s):  
Joe Teng ◽  
Dazhong Wu ◽  
Fran Smith

AbstractBackground:This study investigates the determinants of industrial productivity growth from a network perspective.Objectives:The research focuses on the influence on a focal industry’s productivity growth by its partner industries’ productivity growth, and the impact of the focal industry’s position in the supply chain network.Method/Approach:The paper models the economy as a customer-supplier industry network and empirically investigates how a focal industry’s multifactor productivity is influenced by the productivities of industries that are connected to it, and how this influence is moderated by its position in the network.Results:Based on a balanced panel dataset of 55 industries from the United States Bureau of Economic Analysis (BEA) input-output accounts, the results indicate that a focal industry’s productivity growth is positively associated with its partner industries’ productivity growth, and that industries with higher centrality in the network tend to have higher productivity growth.Conclusions:The study concludes with a discussion on the implications of the findings and the contribution to the productivity literature. Several directions for further research were identified.





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