R&D, production structure and productivity growth

a comparison of the US, Japanese, and Korean manufacturing sectors by M. Ishaq Nadiri

Publisher: National Bureau of Economic Research in Cambridge, MA

Written in English
Published: Pages: 29 Downloads: 482
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Subjects:

  • Research, Industrial -- United States.,
  • Research, Industrial -- Japan.,
  • Research, Industrial -- Korea (South),
  • Industrial productivity -- United States.,
  • Industrial productivity -- Japan.,
  • Industrial productivity -- Korea (South).

Edition Notes

Other titlesR and D, production structure and productivity growth
StatementM. Ishaq Nadiri, Seongjun Kim.
SeriesNBER working paper series -- working paper 5506, Working paper series (National Bureau of Economic Research) -- working paper no. 5506.
ContributionsKim, Seongjun., National Bureau of Economic Research.
The Physical Object
Pagination29, [9] p. ;
Number of Pages29
ID Numbers
Open LibraryOL22413781M

Regulation is a significant negative effect on productivity, but reduces productivity growth by only % a year. Undocumented immigrants are important in construction, and often work off the books, but reasonable allowance for their increased presence reduces productivity growth by only % a year. The central data on production come from. The Measurement of Productive Efficiency and Productivity Growth - Ebook written by Harold O. Fried, C. A. Knox Lovell, Shelton S. Schmidt. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read The Measurement of Productive Efficiency and Productivity Growth.   The production structure must be shortened again to produce what is most urgently needed and allow the pool of savings to be rebuilt. Some factors of production will be easily transferred and put to new uses (as a rule, this depends on their degree of specificity), while others will have to be liquidated or must lie idle due to a lack of. Capital, Labor, and Productivity force have on productivity growth and output growth. 5. Romner (b). input in production is rival if its use by one person or firm precludes.

  The level of productivity, in the production, determines the profitability, efficiency and performance of the enterprise, i.e. the higher the productivity of the firm the greater will be the earning aims at determining the relationship between the input and output, in a particular production process. In short, it is nothing but attaining the highest possible outcome, while. 1. Measures of R&D as an asset held by a particular owner must be complemented by estimates of the spillover effect of R&D in order to obtain a reliable measure of the overall effect of R&D on productivity growth Cited by:   2. R&D, extension and productivity growth. The two simplest productivity measures are partial: yield and the average product of labour. New data from Alston et al. () show that for the US, between and average yields of maize increased by a factor of 6 and wheat yields by a factor of In , US agricultural production was more than five times its by:   Productivity is the most important determinant of the standard of living of a group of people, a nation or a planet. Productivity in its simplest form is output per hour worked, and its recent Author: Bill Conerly.

What Drives Productivity Growth? n , the U.S. economy started to experience a strong resurgence in labor productivity growth. After growing only percent per year from to , labor productivity growth jumped to percent from to (see chart).1 This striking revival has hardly gone unnoticed, with. MUCH OF THE TRADITIONAL analysis of productivity growth in manu- as an unusual market structure and in which the differences among firms be spillovers in R&D or product design or. II. REVISITING THE DETERMINANTS OF PRODUCTIVITY GROWTH The existing empirical and theoretical literature highlights several potential determinants of productivity growth among which inflation, trade openness, the level of education, and several institutional factors. In addition to these traditional factors, we also include other.

R&D, production structure and productivity growth by M. Ishaq Nadiri Download PDF EPUB FB2

The paper analyzes the production structure and the demand for inputs in three major industrialized countries, the U.S., Japan and Germany. A dynamic factor demand model with two variable inputs (labor and energy)and two quasi-fixed inputs (capital and R&D) is derived directly from an intertemporal cost-minimization problem formulated in discrete by: 3.

R&D, Production Structure and Productivity Growth: A Comparison of the US, Japanese and Korean Manufacturing Sectors M. Ishaq Nadiri, R&D Kim. NBER Working Paper No.

Issued in March NBER Program(s):Productivity, Innovation, and EntrepreneurshipCited by: Downloadable. The paper analyzes R&D production structure and the demand for inputs in three major industrialized countries, the U.S., Japan and Germany.

A dynamic factor demand model with two variable inputs (labor and energy)and two quasi-fixed inputs (capital and R&D) is derived directly from an intertemporal cost-minimization problem formulated in discrete time.

R&D, Production Structure, and Productivity Growth in the U.S., Japaneseand German Manufacturing Sectors Article (PDF Available) February with 43 Reads How we measure 'reads'.

The paper also identifies the sources of the growth of output, labor productivity, and total factor productivity. The results show that resource accumulation, not technical change, is the key factor in rapid output growth, and that the R&D capital and technical change have been major contributors of the Production structure and productivity growth book growth in the US and Japanese manufacturing but not in the Korean manufacturing by: Abstract: The paper analyzes the production structure and the demand for inputs in three major industrialized countries, the U.S., Japan and Germany.

A dynamic factor demand model with two variable inputs (labor and energy)and two quasi-fixed inputs (capital and R&D) is derived directly from an intertemporal cost-minimization problem formulated in discrete by: 3.

The paper analyzes the production structure and the demand for inputs in three major industrialized countries, the U.S., Japan and Germany.

A dynamic factor demand model with two variable inputs (labor and energy)and two quasi-fixed inputs (capital and R&D) is derived directly from an intertemporal cost-minimization problem formulated in. () posthumous book, R& D, Education, and Productivity, and Charles Hulten’s () article, “Total Factor Productivity: A Short Biography”.

The most serious challenge to the tradi-tional approach to productivity measurement of Kuznets () and Solow () was File Size: KB. Productivity Growth and the Structure of Production Jiyoung Kima, Satoshi Nakanob, Kazuhiko Nishimurac aInstitute of Developing Economies bThe Japan Institute for Labour Policy and Training cNihon Fukushi University Abstract In this study, interactions between potential hierarchical value chains existing in the production.

Get this from a library. R & D, Production Structure, and Productivity Growth in the U.S., Japaneseand German Manufacturing Sectors. [Ingmar R Prucha; Pierre A Mohnen; M Ishaq Nadiri; National Bureau of Economic Research;] -- The paper analyzes the production structure and the demand for inputs in three major industrialized countries, the U.S., Japan and Germany.

R&D, Production Structure and Productivity Growth: A Comparison of the US, Japanese and Korean Manufacturing Sectors. By M. Ishaq Nadiri and Seongjun Kim. Get PDF (1 MB) Abstract. We estimate and compare the production structures of the US, Japanese, and Korean total manufacturing sectors for the period.

Author: M. Ishaq Nadiri and Seongjun Kim. determining the differences in productivity across firms and the evolution of firm-level productivity over time.

Key words: R&D, Productivity, Knowledge capital model, Production function estimation JEL Codes: D24, L60, O30 1. INTRODUCTION A firm invests in R&D and related activities to develop and introduce product and process Size: KB.

Zvi Griliches, a world-renowned pioneer in the field of productivity growth, has compiled in a single volume his pathbreaking research on R&D and productivity.

Griliches addresses the relationship between research and development (R&D) and productivity, one of the most complex yet vital issues in today’s business world.

R & D, production structure and productivity growth: a comparison of the US, Japanese, and Korean manufacturing sectors Author: M Ishaq Nadiri ; Seongjun Kim ; National Bureau of Economic Research.

Fraumeni & Okubo () as well as Sveikauskas () review the literature on R&D and productivity growth, showing that the overall rate of return to R&D is very large -about 25% for private Author: Leo Sveikauskas. Sector specific productivity growths were measured by way of the Trönquvist index, using the linked input-output tables for both Japan and Korea.

Keywords: Triangulation, Linked Input-Output Tables, Linear Ordering Problem, Productivity Growth. Abstract. The contribution of higher education to basic and applied research, both at the universities and after university graduates enter industry — as well as the contribution to the outcomes including patenting and technical change to productivity growth — is well recognized and not disputed by by: 8.

Research and Development Research and Development (R&D) is the term commonly used to describe the activities of organized R&D in the U.S., see the book by David Mowery and Nathan Rosenberg). Griliches, Zvi. "Issues in Assessing the Contribution of R&D to Productivity Growth." Bell Journal of Economics File Size: 37KB.

R&D and Productivity Growth Panel Data Analysis of 16 OECD Countries This study investigates the long-term effects of various types of R&D on multi-factor productivity growth, which are the spillover effects of R&D activities.

Econometric estimates are conducted on a panel of 16 OECD countries, over the period Cited by: R&D, innovation and productivity the theoretical link between innovation and productivity growth and then compares the production or saving on some of them and thereby affect total factor productivity (TFP).

For a long time, technological change was considered as File Size: KB. Therefore, we suggest that future research should utilise finely-grained industry or product-line data with long time horizons to: (i) identify the lag structure of the R&D capital and estimate both short and long-run R&D productivity effects through autoregressive distributed lag (ARDL) estimations (Añón Higón, ) or Markov chain Cited by: R&D and Productivity in the US and the EU: Sectoral Specificities and Differences in the Crisis Abstract Using data on the US and EU top R&D spenders from untilthis paper investigates the sources of the US/EU productivity gap.

We find robust evidence that US firms have a higher capacity to. DSTI/SU/SC()5/FINAL 3 RESEARCH AND DEVELOPMENT, INNOVATION AND PRODUCTIVITY GROWTH IN THE STEEL SECTOR Filipe Silva OECD Paris ABSTRACT Investments in R&D activity and innovation could help the steel industry to lower its future capital.

R&D contribution to productivity growth is very robust. Section 3 tries to show this by considering more general production functions that accommodate more flexible relationships between R&D-driven technology and productivity growth.

This analy-sis emphasizes the importance that R&D innovations are embodied. In this sense. Griliches began his studies of productivity growth during the s, adding a variable of "knowledge stock" to traditional production function models, and his work has served as the point of departure for much of the research into R&D and : Zvi Griliches.

Benefits from GVC participation, including in terms of productivity growth, depend on the position of the firm within global production networks and the nature of inter-firm linkages. Firms and industries positioned at the centre of complex production networks have access to a greater variety of foreign inputs, and potentially a broader range.

The rocketing costs of R&D and the rising capital sums required to build a state-of-the-art fabrication plant add to the industry’s challenges. In response to these higher costs, many semiconductor companies have resorted to “fab light” or even “fabless” strategies, outsourcing more and more of their chip design and production and.

Productivity has become a national priority. Its effects are being felt on all levels--national, industrial, and individual. An organization must be able to measure productivity before effectively improving it. This volume is the first practical guide for developing productivity measurement systems.

It describes the use of the Productivity Measurement and Enhancement System (ProMES) designed 5/5(1). also plays an major role in productivity growth, but we only Þnd a small effect of trade. In failing to take account of R&D-based absorptive capacity, existing U.S.-based studies may underestimate the return to R&D.

Introduction T his paper provides empirical evidence that there are two roles, or faces, of research and development (R&D Cited by: Productivity is the ultimate engine of growth in the global economy.

Raising productivity is therefore a fundamental challenge for countries going new OECD report on The Future of Productivity shows that we are not running out of Size: 3MB. between 65% and 90% of productivity growth in the industries with intermediate or high innovative activity. R&D expenditures are thus a primary source of productivity growth.

Our model allows us to recover the entire distribution of the elasticity of output with respect to R&D expenditures—a measure of the return to R&D—as well as that of the.R&D and Productivity Growth: A Review of the Literature. Leo Sveikauskas. Abstract. This paper reviews the literature on R&D to provide guidelines for recent efforts to include R&D in the national income accounts.

The main conclusions are: 1.The majority of multinationals in Turkey come from high R&D intensity countries. 4 Arguably, multinationals from countries with greater R&D spending are more likely to increase physical productivity and lower prices at target firms.

This is because the technology gap between multinationals and domestic firms is likely to be larger for this group of by: 3.