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Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner
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Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

Dec 14, 2015

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Page 1: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

Social statistics by industry

- Introducing the social dimension into environmental accounts

Maja Larsson & Martin Villner

Page 2: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

What I will talk about today

● Why there is a need for a social dimension

● Method behind – the survey of living conditions in Sweden

● Some results and different ways of analysing data

● Future - other possible surveys to use

Page 3: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

WHY?

● Serve as an information system for sustainable development - also the social dimension

● Policy interventions have social effects

● Some environmental concerns are also social, for ex. health aspects of chemical use and air pollution

Therefore need more social information in the SEEA

Page 4: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

Purpose of the project

● To choose suitable data and present it in a form that is comparable to the environmental and economic data

 

● To discuss with the data providers what aggregation level and data quality is possible

● To complement the environmental accounts with also the social dimension of sustainable development

Page 5: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

4 Areas

● Working environment (7 indicators)

● Health (7 indicators)

● Financial problems and material assets (5 indicators)

● Social networks and political resources (7 indicators)

Page 6: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

Mentally strenuous work

01020304050607080

Agriculture, forestry, fishery (1-5)

Manufacturing, mining (10-37)

Electricity, gas, water (40, 41)

Construction (45)

Wholesale, retail trade (50-52)

Hotels and restaurants (55)

Transports (60-64)

Finance (65-67)

Real estate activities (70)

Renting, business service (71-74)

Public administration (75, 99)

Education (80)

Health service (85)

Ohter services (90-95)

All industry (1-99)

%0 10 20 30 40 50 60 70 80

Agriculture, forestry, fishery (1-5)

Manufacturing, mining (10-37)

Electricity, gas, water (40, 41)

Construction (45)

Wholesale, retail trade (50-52)

Hotels and restaurants (55)

Transports (60-64)

Finance (65-67)

Real estate activities (70)

Renting, business service (71-74)

Public administration (75, 99)

Education (80)

Health service (85)

Ohter services (90-95)

All industry (1-99)

%

Page 7: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

Accidents at work

0 2 4 6 8 10 12 14

Agriculture, forestry, fishery (1-5)

Manufacturing, mining (10-37)

Electricity, gas, water (40, 41)

Construction (45)

Wholesale, retail trade (50-52)

Hotels and restaurants (55)

Transports (60-64)

Finance (65-67)

Real estate activities (70)

Renting, business service (71-74)

Public administration (75, 99)

Education (80)

Health service (85)

Ohter services (90-95)

All industry (1-99)

%

Workers

Salaried employees

Self-employed, farmers

Page 8: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

Severe problems because of long illness

Women

0

2

4

6

8

10

12

14

16

18

20

88/90 91/93 94/96 97/99 00/02

P ercent

Men

0

2

4

6

8

10

12

14

16

18

20

88/90 91/93 94/96 97/99 00/02

P ercent

Agriculture, forestry, fishery (1-5)

Manufacturing, mining (10-37)

Construction (45)

Wholesale, hotels, restaur. (50-52, 55)Transports (60-64)

Research, education, healthservice (73, 80, 85)All industry (1-99)

Page 9: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

Obesity

02468101214

Agriculture, forestry, fishery (1-5)

Manufacturing, mining (10-37)

Energy production (40, 41)

Construction (45)

Wholesale, retail trade (50-52)

Hotels and restaurants (55)

Transports (60-64)

Finance (65-67)

Real estate activities (70)

Renting, business service (71-74)

Public administration (75, 99)

Education (80)

Health service (85)

Ohter services (90-95)

All industry (1-99)

Unemployed

All individuals, aged 16-64

%

97/99 00/02Women

Data missing

Data missing

0 2 4 6 8 10 12 14

Agriculture, forestry, fishery (1-5)

Manufacturing, mining (10-37)

Energy production (40, 41)

Construction (45)

Wholesale, retail trade (50-52)

Hotels and restaurants (55)

Transports (60-64)

Finance (65-67)

Real estate activities (70)

Renting, business service (71-74)

Public administration (75, 99)

Education (80)

Health service (85)

Ohter services (90-95)

All industry (1-99)

Unemployed

All individuals, aged 16-64

%

97/99 00/02 Men

Page 10: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

No cash reserve of SEK 13 000Women

0

2

4

6

8

10

12

14

16

18

20

22

88/90 91/93 94/96 97/99 00/02

PercentMen

0

2

4

6

8

10

12

14

16

18

20

22

88/90 91/93 94/96 97/99 00/02

P ercent

Agriculture, forestry, fishery (1-5)

Manufacturing, mining (10-37)

Construction (45)

Wholesale, hotels, restaur. (50-52, 55)

Transports (60-64)

Research, education, health service (73, 80, 85)

All industry (1-99)

Page 11: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

No close friendWomen

051015202530

Agriculture, forestry, fishery (1-5)

Manufacturing, mining (10-37)

Energy production (40, 41)

Construction (45)

Wholesale, retail trade (50-52)

Hotels and restaurants (55)

Transports (60-64)

Finance (65-67)

Real estate activities (70)

Renting, business service (71-74)

P ublic administration (75, 99)

Education (80)

Health service (85)

Ohter services (90-95)

All industry (1-99)

Unemployed

All individuals, aged 16-64

%

Men

0 5 10 15 20 25 30

Agriculture, forestry, fishery (1-5)

Manufacturing, mining (10-37)

Electricity, gas, water (40, 41)

Construction (45)

Wholesale, retail trade (50-52)

Hotels and restaurants (55)

Transports (60-64)

Finance (65-67)

Real estate activities (70)

Renting, business service (71-74)

P ublic administration (75, 99)

Education (80)

Health service (85)

Other services (90-95)

All industry (1-99)

Unemployed

All individuals, aged 16-64

%

Page 12: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

Lack the ability to appeal against a public authority

0 5 10 15 20 25 30 35 40 45

Agriculture, forestry, fishery (1-5)

Manufacturing, mining (10-37)

Electricity, gas, water (40, 41)

Construction (45)

Wholesale, retail trade (50-52)

Hotels and restaurants (55)

Transports (60-64)

Finance (65-67)

Real estate activities (70)

Renting, business service (71-74)

P ublic administration (75, 99)

Education (80)

Health service (85)

Other services (90-95)

All industry (1-99)

Unemployed

All individuals, aged 16-64

%

Workers

Salariedemployees

Self-employed,farmers

Page 13: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

Other ways of presenting data

● Environmental profiles

● Decoupling

● By level of education

● By region

● By age

Page 14: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

Profile – the construction industry

02468101214

Production value

Value added

Employment

Accidents at w ork, men

Accidents at w ork, w omen

Bad state of health, men

Bad state of health, w omen

Economic crisis, men

Economic crisis, w omen

Member of a trade union, men

Member of a trade union, w omen

All fuels

Biomass

El. and district heating

CO2

SO2

NOx

%

Page 15: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

Decoupling - hectic/monotonous work

All industry

60

70

80

90

100

110

120

130

140

150

160

170

180

190

91/93 94/96 97/99 00/02

Index =1991/93

Value added

Hectic/monotonous work, women

Hectic/monotonous work, men

Manufacturing, mining industry

60

70

80

90

100

110

120

130

140

150

160

170

180

190

91/93 94/96 97/99 00/02

Index = 1991/93

Page 16: Social statistics by industry - Introducing the social dimension into environmental accounts Maja Larsson & Martin Villner.

By region – economic crisis

0 10 20 30

Agriculture, forestry, fishery (1-5)

Manufacturing, mining (10-37)

Electricity, gas, water (40, 41)

Construction (45)

Wholesale, retail trade (50-52)

Hotels and restaurants (55)

Transports (60-64)

Finance (65-67)

Real estate activities (70)

Renting etc (71-74)

Public administration (75, 99)

Education (80)

Health service (85)

Other services (90-95)

All industry (1-99)

Percent

Stockholm,Gotherburg, Malmö

Other largemunicipalities andsouthern andcentral Sweden

Northern denselyand sparselypopulated areas