R&D AND GROWTH: THE MISSING LINK?

2007 ◽  
Vol 11 (5) ◽  
pp. 691-714 ◽  
Author(s):  
ROBERTO M. SAMANIEGO
Keyword(s):  
Economic Growth ◽  
Empirical Evidence ◽  
Total Factor Productivity ◽  
Production Function ◽  
Technical Change ◽  
Patent Data ◽  
Factor Productivity ◽  
Missing Link ◽  
Predominant Factor ◽  
Key Driver

The presumption that R&D is a key driver of economic growth is difficult to reconcile with empirical evidence. For example, in most studies, which identify technical change with total factor productivity (TFP), the link between TFP and measures of knowledge is found to be weak.This paper shows that a reconciliation may be possible in a model where R&D contributes to growth through investment-specific technical change. Such a model predicts that the empirical link between knowledge and productivty would be weak even if the generation of knowledge is the predominant factor of economic growth. The paper also shows that estimates of the production function for knowledge using patent data may be biased.

scholarly journals BIASED TECHNICAL CHANGE, INTERMEDIATE GOODS, AND TOTAL FACTOR PRODUCTIVITY

2011 ◽  
Vol 16 (2) ◽  
pp. 184-203 ◽  
Author(s):  
Alessio Moro
Keyword(s):  
Total Factor Productivity ◽  
Production Function ◽  
Technical Change ◽  
Value Added ◽  
Intermediate Goods ◽  
Factor Productivity ◽  
Aggregate Production ◽  
Tfp Growth ◽  
Aggregate Production Function ◽  
The Impact

In this paper I show that the intensity at which intermediate goods are used in the production process affects aggregate total factor productivity (TFP). To do this, I construct an input–output model economy in which firms produce gross output by means of a production function in capital, labor, and intermediate goods. This production function is subject, together with the standard neutral technical change, to intermediates-biased technical change. Positive (negative) intermediates-biased technical change implies a decline (increase) in the elasticity of gross output with respect to intermediate goods. In equilibrium, this elasticity appears as an explicit part of TFP in the value added aggregate production function. In particular, when the elasticity of gross output with respect to intermediates increases, aggregate TFP declines. I use the model to quantify the impact of intermediates-biased technical change for measured TFP growth in Italy. The exercise shows that intermediates-biased technical change can account for the productivity slowdown observed in Italy from 1994 to 2004.

Impact of Determinants of Industrial Development on Employment and Wages in Indian Manufacturing

2020 ◽  
pp. 18-30
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Technical Change ◽  
Positive Impact ◽  
Manufacturing Sector ◽  
Factor Productivity ◽  
Firm Level ◽  
Employment Level ◽  
The Impact ◽  
Level Performance

ABSTRACT The present study was undertaken to explore the evolution of the impact of firm-level performance on employment level and wages in the Indian organized manufacturing sector over the period 1989-90 to 2013-14. One of the major components of the economic reform package was the deregulation and de-licensing in the Indian organized manufacturing sector. The impact of firm-level performance on employment and wages were estimated for Indian organized manufacturing sector in major sub-sectors in India during the period from 1989-90 to 2013-14 of the various variables namely profitability ratio, total factor productivity change, technical change, technical efficiency, openness (export-import), investment intensity, raw material intensity and FECI in total factor productivity index, technical efficiency, and technical change. The study exhibited that all explanatory variables except profitability ratio and technical change cost had a positive impact on the employment level. Out of eight variables, four variables such as net of foreign equity capital, investment intensity, TFPCH, and technical efficiency change showed a positive impact on wages and salary ratio and rest of the four variables such as openness intensity, technology acquisition index, profitability ratio, and technical change had negative impact on wages and salary ratio. In this context, the profit ratio should be distributed as per the marginal rule of economics such as the marginal productivity of labour and capital.

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