scholarly journals A Quantal Response Statistical Equilibrium Model of Induced Technical Change in an Interactive Factor Market: Firm-Level Evidence in the EU Economies

Entropy ◽  
2018 ◽  
Vol 20 (3) ◽  
pp. 156 ◽  
Author(s):  
Jangho Yang
Keyword(s):  
Technical Change ◽  
Equilibrium Model ◽  
Statistical Equilibrium ◽  
Quantal Response ◽  
Firm Level ◽  
Induced Technical Change ◽  
The Eu

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.

scholarly journals Growth Through Inter-sectoral Knowledge Linkages

2018 ◽  
Vol 86 (5) ◽  
pp. 1827-1866 ◽  
Author(s):  
Jie Cai ◽  
Nan Li
Keyword(s):  
General Equilibrium ◽  
Technological Change ◽  
Equilibrium Model ◽  
New Products ◽  
General Equilibrium Model ◽  
Fixed Costs ◽  
Aggregate Model ◽  
Firm Level ◽  
Firm Innovation ◽  
Aggregate Growth

Abstract The majority of innovations are developed by multi-sector firms. The knowledge needed to invent new products is more easily adapted from some sectors than from others. We study this network of knowledge linkages between sectors and its impact on firm innovation and aggregate growth. We first document a set of sectoral-level and firm-level observations on knowledge applicability and firms’ multi-sector patenting behaviour. We then develop a general equilibrium model of firm innovation in which inter-sectoral knowledge linkages determine the set of sectors a firm chooses to innovate in and how much R&D to invest in each sector. It captures how firms evolve in the technology space, accounts for cross-sector differences in R&D intensity, and describes an aggregate model of technological change. The model matches new observations as demonstrated by simulation. It also yields new insights regarding the mechanism through which sectoral fixed costs of R&D affect growth.

scholarly journals A statistical equilibrium model of competitive firms

2012 ◽  
Vol 36 (1) ◽  
pp. 136-149 ◽  
Author(s):  
Simone Alfarano ◽  
Mishael Milaković ◽  
Albrecht Irle ◽  
Jonas Kauschke
Keyword(s):  
Equilibrium Model ◽  
Statistical Equilibrium

Induced Technical Change in Energy and Environmental Modeling: Analytic Approaches and Policy Implications

2002 ◽  
Vol 27 (1) ◽  
pp. 271-308 ◽  
Author(s):  
Michael Grubb ◽  
Jonathan Köhler ◽  
Dennis Anderson
Keyword(s):  
Climate Change ◽  
Technical Change ◽  
Energy Sector ◽  
Learning By Doing ◽  
Environmental Modeling ◽  
Policy Implications ◽  
Marginal Costs ◽  
Technological Diversity ◽  
Energy Economy ◽  
Induced Technical Change

▪ Abstract  Technical change in the energy sector is central for addressing long-term environmental issues, including climate change. Most models of energy, economy, and the environment (E3 models) use exogenous assumptions for this. This is an important weakness. We show that there is strong evidence that technical change in the energy sector is to an important degree induced by market circumstances and expectations and, by implication, by environmental policies such as CO2 abatement. We classify the main approaches to modeling such induced technical change and review results with particular reference to climate change. Among models with learning by doing, weak responses are only obtained from models that are highly aggregated (lack technological diversity) and/or that equate rates of return to innovation across sectors. Induced technical change broadens the scope of efficient policies toward mitigation, including not just research and development and aggregated market instruments but a range of sectoral-based policies potentially at divergent marginal costs. Furthermore, to the extent that cleaner technologies induced by mitigation diffuse globally, a positive spillover will result that will tend to offset the substitution-based negative spillover usually hypothesized to result from the migration of polluting industries. Initial explorations suggest that this effect could also be very large.

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