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___________________________________________________________________________ 2019/SOM1/CTI/WKSP/002 Women in the Economy and Gender Responsive Trade Policy Submitted by: Canada Capacity Building Workshop on Women and Trade Santiago, Chile 5 March 2019

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Page 1: Women in the Economy and Gender Responsive Trade Policymddb.apec.org/Documents/2019/CTI/WKSP1/19_cti_wksp1_002.pdf · Russia Canada Proportion of Women with Completed Tertiary Education,

___________________________________________________________________________

2019/SOM1/CTI/WKSP/002

Women in the Economy and Gender Responsive Trade Policy

Submitted by: Canada

Capacity Building Workshop on Women and Trade

Santiago, Chile5 March 2019

Page 2: Women in the Economy and Gender Responsive Trade Policymddb.apec.org/Documents/2019/CTI/WKSP1/19_cti_wksp1_002.pdf · Russia Canada Proportion of Women with Completed Tertiary Education,

Santiago, March 5, 2019Women in the Economy and

Gender responsive Trade

Policy

Marie-France Paquet

Chief Economist

Global Affairs Canada

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• Canada’s Gender Responsive Trade Policy

• Role of Women in the Canadian Economy

• Women-owned businesses and their role in trade

• Impact of Trade Agreements on Gender

Outline

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• Goal: making sure FTAs benefit all segment of the population

• Need to evaluate the impacts of FTAs on gender

• GBA+ for all Chapters in FTAs

• Impact assessment of FTA and labour and gender

implications

• Allows for well-informed and evidenced based domestic response

Canada’s Gender Responsive Trade

Policy

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4

“Equal pay and better economic opportunities for women boost

economic growth—creating a bigger pie for everyone to share,

women and men alike. Better opportunities for women also

promote diversity and reduce economic inequality around the

world.

It is an economic no-brainer”.

Christine Lagarde, Managing Director

The International Monetary Fund, November 14, 2016

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5

Canadian Women in the Workforce

• The wage gap has narrowed, but it’s still there: for full-time workers

of prime working-age, females earned 87 cents, on average, for every

$1 earned by males.

• Boosting women’s participation in the labour force could partially

offset demographic trends that threaten Canadian growth.

• Women are making headway in typically male-dominated fields.

• Fewer women are working part-time due to family obligations, but

they are still far more likely to work part-time than men.

• Women are an integral part of the Canadian workforce.

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6

Women participation in the workforce in Canada

is the highest amongst G7 economies

75%74% 74%

69%68% 68%

56%

Canada Germany U.K. Japan U.S. France Italy

Women's Labour Force Participation Rate,

G7 economies, 2017

Data: OECD Stat | Source: Office of the Chief Economist, Global Affairs Canada

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7

Women participation in the workforce in Canada

is the second highest amongst APEC economies

Data: OECD Stat | Source: Office of the Chief Economist, Global Affairs Canada

76% 75% 72%69% 69% 68%

59% 57% 55%

47%

New

Zealand

Canada Australia Japan Russian

Federation

United

States

Korea Chile Indonesia Mexico

Women's Labour Force Participation Rate,

APEC member economies, 2017

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Canadian Women and Education

• Less than 3% of females head incorporated businesses in Canada,

almost half the rate of males. In 2017, 1 in 4 board members of large

publicly listed companies in Canada were women, an improvement

from 1 in 5 in 2016.

• The pipeline for leadership talent is bright. Canada leads OECD

economies both for the share of women having completed tertiary

education and the share of women involved in early-stage firms.

• While many Canadian women pursue post-secondary education, the

number of women opting to study in the STEM fields remains low.

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Women Entrepreneurs , 2018

(% of total business owners)

Data: Mastercard Index of Women Entrepreneurs (MIWE) 2018 | Source: Office of the Chief Economist, Global Affairs Canada

0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50%

France

United Kingdom

Chile

Thailand

Germany

United States

Belgium

Switzerland

Colombia

Italy

Bangladesh

Uruguay

Canada

Brazil

Singapore

Argentina

Hungary

Peru

Portugal

Romania

Spain

Poland

Vietnam

Australia

New Zealand

Uganda

Russia

Ghana

Non-APEC economies

APEC member economies

Canada

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10

49%

49%

50%

50%

51%

52%

52%

55%

60% (2015)

63%

Ireland

Estonia

United States

Australia

Iceland

Japan

Finland

Israel

Russia

Canada

Proportion of Women with Completed Tertiary Education,

Top 10 economies (OECD), 2017

Proportion of Women with Tertiary

Education, 2017

Data: OECD Stat | Source: Office of the Chief Economist, Global Affairs Canada

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11

Women owned SMEs are taking their

place in trade, 2011-2017

5.0

8.4

11.1

10.0 11.0 10.611.8 12.8 12.2

10.411.8 11.7

2011 2014 2017

Percentage of SMEs that Export….

Women-owned SMEs Equally-owned SMEs

Men-owned SMEs All SMEs

Data: Statistics Canada; Survey on Financing and Growth of SMEs, 2011, 2014, 2017

Source: Office of the Chief Economist, Global Affairs Canada

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Obstacles to Exporting by Gender of

Ownership, 2017

Data: Statistics Canada; Survey on Financing and Growth of SMEs, 2017

Source: Office of the Chief Economist, Global Affairs Canada

0%

5%

10%

15%

20%

25%

30% Women-owned SMEs Equally-owned SMEs

Men-owned SMEs All SMEs

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46

39

14

2

41

35

20

4

Exporting SMEs by Gender

and Enterprise Size (%)

Female SMEs

Non-Female SMEs

Size of business and sector seem to be the

key factors, 2014

79

1617

22

Female SMEs’ Share of

Exporters by Industry (%)

Data: Statistics Canada; Survey on Financing and Growth of SMEs, 2014 | Source: Office of the Chief Economist, Global Affairs Canada

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First method used in Canada to estimate gender impacts on

jobs of trade agreements

Our first attempt:

Computable

General

Equilibrium

Model

Employment

by Gender by

Industry

Change in

Output by

Sector Due

to Trade

Agreement

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What we have learned: Results for a

generic agreement

-6.1

-2.2

17.7

15.1

Post Agreement Employment Change(Level Change in Contracting/Expanding Sectors, Thousands of jobs)

FemaleMaleContracting Sectors

Expanding Sectors

Female

Male

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A small number of sectors are responsible

for the majority of the impacts

-6.3

-2.0

-7

-6

-5

-4

-3

-2

-1

0

Contracting Sectors# of Jobs

(Thousands)

Male Employment Female Employment

Ve

hic

les

an

d

ca

r p

art

s

TOTA

L

Ch

em

ica

l, r

ub

be

r,

pla

stic

pro

du

cts

TOTA

L

Ve

hic

les

an

d

ca

r p

art

s

Ch

em

ica

l, r

ub

be

r,

pla

stic

pro

du

cts

17.8

15.2

0

2

4

6

8

10

12

14

16

18

20

Expanding Sectors

Male Employment Female Employment

Bu

sin

ess

serv

ice

s

TOTA

L

TOTA

L

Tra

de

Co

nst

ruc

tio

n

Pu

blic

Ad

min

istr

atio

n,

De

fen

se, Ed

uc

atio

n,

He

alth

Bu

sin

ess

Se

rvic

es

Tra

de

# of Jobs

(Thousands)

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• We have developed our CGE model to include a labour module

• We have an overlapping generations framework within the CGE

model

• It includes an occupation transition matrix to allow for movement

between occupations

• This allows for detailed impacts of FTAs by gender, age group and

occupation

Our current approach:

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Summary of Modelling Results

Trade Agreement could help to create 43,570 jobs

(19,410 males, and 24,160 females)

Management Professionals Technical Community Clerical Sales Machinery Labourers Total

Age 15-24 370 914 1,146 409 746 4,828 533 733 9,678

Age 25-34 1,148 3,027 1,561 546 1,679 2,354 234 461 11,010

Age 35-44 1,057 2,773 956 452 1,239 1,246 251 270 8,242

Age 45-54 990 1,750 801 430 1,046 1,274 124 215 6,630

Age 55-64 788 1,100 474 330 929 1,220 386 276 5,504

Age 65+ 269 513 178 94 478 628 253 93 2,506

Total 4,622 10,077 5,115 2,261 6,116 11,550 1,782 2,048 43,570

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CGE with Labour Module Tells a Different Story

The labour module is an improvement over the top down approach

because it takes into account changes in demand for different

occupations both within-sector and across sectors.

-

2,000

4,000

6,000

8,000

10,000

12,000

14,000

Nu

mb

er

of

Jo

bs

GTAP FDI GTAP Labour

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The top down approach underestimates the benefits for women

-

5,000

10,000

15,000

20,000

25,000

30,000

Males Females

Nu

mb

er

of

Jo

bs

GTAP FDI

GTAP Labour

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Impacts by Age Group

The top down approach underestimates the impact for the youngest

age group and older age groups.

-

2,000

4,000

6,000

8,000

10,000

12,000

14,000

Age 15-24 Age 25-34 Age 35-44 Age 45-54 Age 55-64 Age 65+

Nu

mb

er

of

Jo

bs

GTAP FDI

GTAP Labour

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Conclusion

• Role of Women in the economy is very important: boosting

participation rates could help mitigate demographics

• Women-owned businesses export less in part due to sectors:

harder to fix

• Trade effects are not gender neutral.