scholarly journals Variation in Employment Growth in Canada: The Role of External, National, Regional and Industrial Factors

10.3386/w1816 ◽  
1986 ◽  
Author(s):  
Joseph Altonji ◽  
John Ham
Keyword(s):  
Employment Growth

scholarly journals Banking and Industrialization

2018 ◽  
Vol 17 (6) ◽  
pp. 1753-1796 ◽  
Author(s):  
Stephan Heblich ◽  
Alex Trew
Keyword(s):  
Standard Deviation ◽  
Industrial Revolution ◽  
Employment Growth ◽  
Standard Deviation Increase ◽  
Percentage Points ◽  
Industrial Employment ◽  
Employment Share ◽  
Capital Intensive ◽  
Employment Data

AbstractWe establish a causal role for banking access in the spread of the Industrial Revolution over the period 1817–1881 by exploiting unique employment data from 10,528 parishes across England and Wales and a novel instrument. We estimate that a one standard deviation increase in 1817 finance employment increases annualized industrial employment growth by 0.93 percentage points. We establish the role of structural transformation as an underlying growth mechanism and show that banking access: (i) increases the industrial employment share; (ii) stimulates urbanization; and (iii) fosters inter-industry transition to high TFP, intermediate and capital-intensive sub-sectors.

scholarly journals Human Capital, Skills, and Uneven Intraurban Employment Growth: The Case of Göteborg, Sweden, 1990–2008

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Jonathan Borggren ◽  
Rikard H. Eriksson
Keyword(s):  
Human Capital ◽  
Urban Areas ◽  
Employment Growth ◽  
Local Population ◽  
Urban Dynamics ◽  
High Concentrations ◽  
Growth Differences ◽  
Severe Recession

Recent research has elucidated the role of talents to explain urban growth differences but it remains to be shown whether urban dynamics, such as human capital and a mixed local population, can be linked to intraurban employment growth. By use of a unique longitudinal database, we track the economic development through the lens of intraurban employment growth of a number of primary urban areas (PUA) in Göteborg, Sweden. Regarding factors influencing employment growth, we find that relative concentrations of human capital protect areas from rising unemployment during severe recession (1990–1993) and recovery (1990–2000) while the composition of skills is beneficial during recovery (1990–2000) and long-term growth (1990–2008). Our findings suggest that neither too high concentrations of creative occupations nor too low ones are beneficial. Thus, human capital drives much of the employment changes in relation to the recession and early transition from manufacturing to service but composition of skills is more relevant for explaining long-term intraurban employment growth.

scholarly journals Firm employment growth in China: The role of marketization and regional economic factors

2019 ◽  
Vol 51 (1) ◽  
pp. 402-439 ◽  
Author(s):  
Peng Bin ◽  
Xiaolan Chen ◽  
Andrea Fracasso ◽  
Chiara Tomasi
Keyword(s):  
Employment Growth ◽  
Economic Factors ◽  
Regional Economic

Employment and Poverty Dynamics Before, During, and After the Crisis

2018 ◽  
pp. 34-55 ◽  
Author(s):  
András Gábos ◽  
Réka Branyiczki ◽  
Barbara Binder ◽  
István György Tóth
Keyword(s):  
Social Welfare ◽  
Poverty Reduction ◽  
Employment Growth ◽  
Panel Regression ◽  
Poverty Dynamics ◽  
Work Intensity ◽  
Welfare Systems ◽  
Employment Elasticity ◽  
Different Levels

This chapter investigates how changes in employment and poverty relate to each other across the European Union’s Member States. Large employment volatility was accompanied by sizable changes in poverty rates between 2005 and 2012. Based on panel regression results, the poverty to employment elasticity was estimated to be around 25% on average. The role of changes in the poverty rates of individuals in jobless and non-jobless households and of changes in the share of those in jobless households differs greatly across countries. The success of poverty reduction depends to a large extent on three factors: the dynamics of overall employment growth, the fair distribution of employment growth across households with different levels of work intensity, and properly designed social welfare systems to smooth out income losses for families in need.

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