Public subsidies and the employment growth of high-tech start-ups: assessing the impact of selective and automatic support schemes

2012 ◽  
Vol 22 (5) ◽  
pp. 1273-1314 ◽  
Author(s):  
M. G. Colombo ◽  
S. Giannangeli ◽  
L. Grilli
Keyword(s):  
Employment Growth ◽  
High Tech ◽  
Public Subsidies ◽  
Start Ups ◽  
The Impact

scholarly journals The Employment Effect of Innovation: Evidence from Bangladesh and Pakistan

2017 ◽  
Vol 56 (2) ◽  
pp. 105-126
Author(s):  
Abdul Waheed '
Keyword(s):  
Developing Countries ◽  
Employment Growth ◽  
Labour Force ◽  
Innovation Process ◽  
Developed Countries ◽  
Process Innovation ◽  
Jel Classification ◽  
High Tech ◽  
Product And Process Innovation ◽  
The Impact

The analysis of the impact of innovation on employment growth is an important topic for policy-makers. Unemployment is an important social topic, and the effects of innovation on employment are often poorly understood. Despite the significance of this relationship, very few studies on this topic are yet available for developing countries compared with the developed ones. This paper contributes to this scant literature by investigating the employment effects of innovation for two South Asian developing countries: Bangladesh and Pakistan. We further analyse whether this relationship shows country-specific and industry-specific differences. Our analysis shows that both product and process innovation spur employment in this region as a whole, in both low-tech and high-tech industries, even after controlling for a number of firm-specific characteristics. Moreover, although both innovation types also have significant, positive impacts on employment growth of all Bangladeshi and of all Pakistani firms separately, they are important factors for employment growth of only high-tech Bangladeshi firms and of only low-tech Pakistani firms. Contrary to most previous studies, we witness an insignificant effect of growth of labour cost on employment growth, perhaps due to the availability of cheaper labour force compared with the developed countries. We notice that some of the innovation determinants exert different influences across industries and across both countries. The same holds true for the determinants of employment growth. JEL Classification: J23, O31, O33 Keywords: Bangladesh, Employment Growth, Pakistan, Product Innovation, Process Innovation

Is technological change a devourer of jobs?

2017 ◽  
pp. 111-140 ◽  
Author(s):  
R. Kapeliushnikov
Keyword(s):  
Technological Change ◽  
Critical Analysis ◽  
New Technologies ◽  
Employment Growth ◽  
Foreseeable Future ◽  
Employment Effects ◽  
Technological Unemployment ◽  
Micro Level ◽  
Task Sets ◽  
The Impact

The paper provides a critical analysis of the idea of technological unemployment. The overview of the existing literature on the employment effects of technological change shows that on the micro-level there exists strong and positive relationship between innovations and employment growth in firms; on the sectoral level this correlation becomes ambiguous; on the macro-level the impact of new technologies seems to be positive or neutral. This implies that fears of explosive growth of technological unemployment in the foreseeable future are exaggerated. Our analysis further suggests that new technologies affect mostly the structure of employment rather than its level. Additionally we argue that automation and digitalisation would change mostly task sets within particular occupations rather than distribution of workers by occupations.

Outside Board Availability and Composition in High Tech Start-Ups

2008 ◽  
Author(s):  
Mirjam Knockaert ◽  
Andy Lockett ◽  
Deniz Ucbasaran
Keyword(s):  
High Tech ◽  
Start Ups

Organizational-economic mechanism of regional development of high-tech engineering

2018 ◽  
Vol 35 (2) ◽  
pp. 3-9
Author(s):  
M. S. Abrashkin
Keyword(s):  
Regional Development ◽  
Regional Economy ◽  
Machine Building ◽  
High Tech ◽  
Regional Competitiveness ◽  
Theoretical Justification ◽  
Economic Mechanism ◽  
The Impact

The article presents a study on the assessment of the impact of science-intensive machine building on the development of the regional economy and increasing its competitiveness. Based on the analysis of foreign sources, a theoretical justification was given for increasing the regional competitiveness of the economy. The tools of regional support of enterprises of science-intensive machine building and the model of the organizational and economic mechanism for regional development of science-intensive machine building were proposed. It has been proven that the development of science-intensive machine building influences the competitiveness of the region. 

Impacts of separate rejection water treatment on the overall plant performance

2003 ◽  
Vol 48 (4) ◽  
pp. 139-146 ◽  
Author(s):  
B. Wett ◽  
J. Alex
Keyword(s):  
Water Treatment ◽  
Treatment Plant ◽  
Operating Experience ◽  
Plant Performance ◽  
High Tech ◽  
State Variables ◽  
Total N ◽  
Unit Process ◽  
Innovative Tool ◽  
The Impact

A separate rejection water treatment appears as a high-tech unit process which might be recommendable only for specific cases of an upgrading of an existing wastewater treatment plant. It is not the issue of this paper to consider a specific separate treatment process itself but to investigate the influence of such a process on the overall plant performance. A plant-wide model has been applied as an innovative tool to evaluate effects of the implemented sidestream strategy on the mainstream treatment. The model has been developed in the SIMBA environment and combines acknowledged mathematical descriptions of the activated sludge process (ASM1) and the anaerobic mesophilic digestion (Siegrist model). The model's calibration and validation was based on data from 5 years of operating experience of a full-scale rejection water treatment. The impact on the total N-elimination efficiency is demonstrated by detailed nitrogen mass flow schemes including the interactions between the wastewater and the sludge lane. Additionally limiting conditions due to dynamic N-return loads are displayed by the model's state variables.

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