Diagnosing The Productivity Effect of Public Capital in the Private Sector (original) (raw)

Productivity and efficiency in the US: effects of business cycles and public capital

Regional Science and Urban Economics, 2000

We add to the literature on the US productivity slowdown and effects of public capital on productivity by employing Malmquist productivity indexes to measure productivity. These indexes allow us to decompose productivity growth into efficiency change and technological innovation. We derive these components for each observation, which we exploit to explore factors which may lead to differences in productivity across regions, including business cycles, both own-state and cross-border public infrastructure investment, and relative sizes of the manufacturing, service and public sector. Our results suggest that the components of total factor productivity change lend important insights into the fairly complex effects of public capital on productivity growth.

Public Investment and US Productivity Change: an Evaluation of Recent Research

Research efforts in the early 1990s uncovered an apparent relationship between rates of productivity growth and levels of investment in core infrastructure by the public sector in developed economies. If valid, these findings account for most of the widely reported slowdown in U.S. rates of productivity growth since 1970s, and lend a measure of intrinsic worth to government intervention in the national economy more fundamental than a merely countercyclical role. This review (a) outlines the central results of the dozens of research efforts mounted since then that attempt to explain the U.S. productivity slowdown; (b) retraces the findings of the researchers most noted for their linking of infrastructure investment with productivity changes; (c) recapitulates the criticisms to which they have been subjected in recent months; and (d) summarizes the main issues that divide protagonists and antagonists in this arena. Finally, I introduce a set of empirical and theoretical issues that bear heavily on these issues, but have not been given adequate attention by researchers on either side of the debate.

Infrastructure Capital and Private Sector Productivity: A Dynamic Analysis

Quarterly Journal of Business and Economics, 1998

On Ihe other hand, the re appears to ~ no discernible effect on productivity by core infrastructure capital in the short run. We also find that while public capital is weakly exogenous for the paramete rs of the long· run relation, it is· not strongly exogenous, as it is Granger-caused by privale sector productivity.

Productivity in Public and Private Sectors in the U.S.: A Comprehensive Review through Passage of Time

Madridge J Behav Soc Sci., 2020

This study examines the notion of productivity in both public and private organizations, the difference between the two sectors and how productivity measurement for each sector has to be determined. The article argues that designing viable measurement instruments to measure productivity should be based on the organizational goals as well as customers' expectations. Further, this study underscores the important factors that influence a viable performance measurement system, its sustainability and success. This work emphasizes the significance of performance management framework and how to use motivational factors for employees to embrace performance standards for boosting productivity in public-private domains. Finally, this study argues that measuring productivity can become easier with usage of latest technologies, ongoing training and continued education in order to keep employees engaged while improving productivity in public and private organizations.

The effect of public sector efficiency on firm-level productivity growth

OECD Economics Department Working Papers, 2019

This document, as well as any data and map included herein, are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. 2  ECO/WKP(2019)43 Unclassified OECD Working Papers should not be reported as representing the official views of the OECD or of its member countries. The opinions expressed and arguments employed are those of the author(s). Working Papers describe preliminary results or research in progress by the author(s) and are published to stimulate discussion on a broad range of issues on which the OECD works. Comments on Working Papers are welcomed, and may be sent to the Economics Department, OECD,

roiw_388 224..256 AN ASSUMPTION-FREE FRAMEWORK FOR MEASURING PRODUCTIVITY CHANGE

2015

The measurement of productivity change (or difference) is usually based on models that make use of strong assumptions such as competitive behavior and constant returns to scale. This survey discusses the basics of productivity measurement and shows that one can dispense with most if not all of the usual, neoclassical assumptions. By virtue of its structural features, the measurement model is appli-cable to individual establishments and aggregates such as industries, sectors, or economies. 1.