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Table 3 Estimation results

From: Going green: estimating the potential of green jobs in Argentina

VARIABLES

(1)

(2)

(3)

(4)

Green_occ

Greenness

Green job

Green formal job

Green job

Green formal job

Male

0.156***

0.085**

0.069*

0.033

(0.052)

(0.032)

(0.034)

(0.022)

Age groups (base = [15, 24])

    

 [25, 34]

0.005

0.032**

− 0.023

0.015

(0.022)

(0.014)

(0.023)

(0.010)

 [35, 44]

0.013

0.047**

− 0.020

0.033*

(0.030)

(0.019)

(0.031)

(0.017)

 [45, 54]

0.014

0.051**

− 0.012

0.047**

(0.035)

(0.020)

(0.037)

(0.023)

 [55, 64]

0.005

0.044**

0.005

0.069**

(0.033)

(0.020)

(0.040)

(0.030)

 \([65+]\)

− 0.005

0.032*

0.005

0.062**

(0.039)

(0.018)

(0.048)

(0.028)

Regions (base = Gran Buenos Aires)

    

 Noroeste

0.004

0.004

− 0.005

− 0.006

(0.006)

(0.007)

(0.005)

(0.005)

 Noreste

− 0.005

0.011

− 0.015

− 0.008

(0.007)

(0.012)

(0.010)

(0.010)

 Cuyo

0.007

0.013

0.004

− 0.001

(0.008)

(0.010)

(0.005)

(0.005)

 Pampeana

0.017**

0.019**

− 0.006

− 0.004

(0.007)

(0.008)

(0.005)

(0.005)

 Patagonia

0.025*

0.041**

− 0.035**

− 0.013

(0.014)

(0.017)

(0.015)

(0.015)

Educational level (base = never attended)

    

 Primary incomplete

− 0.027

− 0.043

− 0.045**

− 0.050*

(0.027)

(0.031)

(0.020)

(0.029)

 Primary complete

− 0.013

− 0.019

− 0.062**

− 0.044*

(0.035)

(0.026)

(0.030)

(0.022)

 Secondary incomplete

− 0.019

− 0.020

− 0.063*

− 0.041

(0.043)

(0.029)

(0.035)

(0.026)

 Secondary complete

− 0.068

− 0.038

− 0.061

− 0.024

(0.054)

(0.037)

(0.050)

(0.035)

 Superior incomplete

− 0.123*

− 0.077

− 0.023

0.014

(0.070)

(0.053)

(0.082)

(0.060)

 Superior complete

− 0.119

− 0.094

0.046

0.065

(0.072)

(0.063)

(0.086)

(0.071)

Economic sectors (base = Agricultural)

    

 Construction

0.702***

0.130*

0.749***

0.132**

(0.123)

(0.066)

(0.084)

(0.060)

 Electricity, gas, and water

0.271*

0.197*

0.205

0.150

(0.151)

(0.112)

(0.130)

(0.108)

 Financial intermediation

− 0.037

− 0.107

0.130

0.086

(0.107)

(0.069)

(0.112)

(0.099)

 Fishing

0.125

0.105

0.069

0.042

(0.168)

(0.129)

(0.120)

(0.096)

 Food and accommodation

− 0.093

− 0.059

− 0.084

− 0.068

(0.108)

(0.055)

(0.076)

(0.051)

 Human health

− 0.009

− 0.082

− 0.134

− 0.179**

(0.105)

(0.066)

(0.101)

(0.085)

 Industry

0.170

0.096

0.073

0.014

(0.157)

(0.093)

(0.109)

(0.065)

 Mining

0.326**

0.250**

0.225*

0.173*

(0.140)

(0.105)

(0.114)

(0.096)

 Other services

− 0.057

0.006

− 0.064

− 0.028

(0.105)

(0.056)

(0.072)

(0.051)

 Public administration

0.020

− 0.061

0.037

− 0.025

(0.102)

(0.061)

(0.088)

(0.068)

 Real estate and business

− 0.016

− 0.057

0.055

− 0.020

(0.107)

(0.060)

(0.078)

(0.047)

 Teaching

0.007

− 0.083

− 0.129

− 0.178*

(0.110)

(0.071)

(0.122)

(0.103)

 Trade

0.040

− 0.005

− 0.005

− 0.024

(0.141)

(0.061)

(0.099)

(0.053)

 Transport and communications

0.390**

0.172**

− 0.010

− 0.045

(0.148)

(0.068)

(0.086)

(0.053)

Firm type (base = Public)

    

 Private

0.011

0.011

0.012

0.017

(0.013)

(0.009)

(0.012)

(0.011)

 Other

0.015

− 0.031*

0.027

− 0.029

(0.017)

(0.017)

(0.029)

(0.019)

Firm size (base = 5 or less employees)

    

 Between 6 and 40 employees

− 0.003

0.094**

0.001

0.083**

(0.022)

(0.041)

(0.016)

(0.040)

 More than 40 employees

0.007

0.149**

0.010

0.120**

(0.025)

(0.062)

(0.019)

(0.053)

Hourly labor income decile (base = 1st decile)

    

 2nd decile

− 0.008

0.010

− 0.027**

0.003

(0.012)

(0.007)

(0.012)

(0.006)

 3rd decile

− 0.010

0.035*

− 0.026*

0.018

(0.012)

(0.018)

(0.013)

(0.013)

 4th decile

− 0.005

0.059**

− 0.027

0.030

(0.017)

(0.028)

(0.018)

(0.018)

 5th decile

− 0.008

0.077**

− 0.021

0.042*

(0.017)

(0.037)

(0.019)

(0.023)

 6th decile

− 0.016

0.080*

− 0.025

0.044*

(0.018)

(0.041)

(0.020)

(0.025)

 7th decile

− 0.015

0.090*

− 0.003

0.066**

(0.020)

(0.044)

(0.026)

(0.032)

 8th decile

− 0.017

0.087*

0.019

0.084**

(0.024)

(0.045)

(0.034)

(0.039)

 9th decile

− 0.019

0.083*

0.052

0.110**

(0.027)

(0.042)

(0.042)

(0.046)

 10th decile

− 0.029

0.067*

0.114*

0.169**

(0.029)

(0.034)

(0.060)

(0.062)

 Informal

0.040**

 

0.014

 

(0.018)

 

(0.019)

 

 Observations

289,424

289,424

289,424

289,424

 R-squared

0.447

0.192

0.331

0.140

  1. Estimates obtained by OLS. Sample weights are used. Cluster-corrected standard errors at the 2-digit level of ISCO-08 in parentheses. Quarter fixed effects included. In columns 1–2 the dependent variable is an indicator of whether a worker is in a high green potential occupation using the green_occ definition [i.e if its greenness scores is above 0.535 (column 1) and is in a formal job (column 2)]. In columns 3–4 the dependent variable is an indicator of whether a worker is in a high green potential occupation using the greenness definition [i.e if its greenness scores is above 0.06 (column 3) and is in a formal job (column 4)]
  2. * p < 0.1
  3. ** p < 0.05
  4. *** p < 0.01