The Long Shadow of Informality

Page 195

T H E L O NG S HA D O W O F I N F O R MA L I T Y

C H A P T ER 4

165

Infrastructure weaknesses create an additional obstacle to human capital accumulation and job creation, entrenching informality (Vorisek and Yu 2020). Lack of energy and communications infrastructure limits access to more and better job opportunities and slows productivity gains from digital technologies (Zaballos, Iglesias, and Adamowicz 2019). Poor transportation networks restrict factor mobility and market access, thus slowing productivity growth.24 Weak within-city transportation networks prevent workers from accessing formal employment opportunities (Zarate 2019). Sanitation and clean water. Greater informality is associated with more limited access to sanitation facilities and clean water (figure 4.8). In EMDEs with above-median informality, only about 55 percent of the population has access to basic sanitation services—about 30 percentage points less than in EMDEs with below-median informality. Whereas almost all people in EMDEs with below-median informality have access to clean drinking water, this essential infrastructure service is available to less than 80 percent of the population in EMDEs with above-median informality. Access to energy and information and communication technology infrastructure. Access to infrastructure services such as electricity, clean fuels, the internet, and mobile broadband is more limited in EMDEs with above-median informality. As shown by the latest available data, about one-third of people living in EMDEs with above-median informality lacked access to electricity, whereas almost all in EMDEs with below-median informality had such access. The share of the population with access to clean fuels in EMDEs with above-median informality is about half of the share in EMDEs with below-median informality. Access to the internet and mobile broadband was available to 30-40 percent of the population in EMDEs with above-median informality—less than three-fifths of the share in EMDEs with below-median informality. Road access. Despite progress made in recent years, road access remains more limited in EMDEs with above-median informality. The latest data show that only about 15 percent of roads were paved in EMDEs with above-median informality—one-third of the share in EMDEs with below-median informality. This could in part reflect higher costs of road construction in EMDEs with more pervasive informal sectors: on average, road construction costs amounted to $0.6 million per kilometer in EMDEs with abovemedian informality—significantly higher than the cost in EMDEs with below-median informality, by $0.2 million per kilometer.

Finding the needle in the haystack: The most robust correlates The analysis so far has considered individual correlates of informality in isolation. This section aims to identify the most robust correlates of informality via a BMA approach.

24 Banerjee, Duflo, and Qian (2020) find that proximity to transportation networks have a moderately sized positive causal effect on per capita GDP levels across sectors. De Soyres, Mulabdic, and Ruta (2020) and Francois and Manchin (2013) confirm the trade impact of transportation infrastrucutere.


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Articles inside

References

17min
pages 344-353

Annex 6A Policies and informality

3min
pages 323-324

Fiscal measures

2min
page 301

Data and methodology

2min
page 300

6.1 Financial development and the informal economy

9min
pages 290-294

6.8 Informality after labor market reforms in EMDEs

2min
page 313

Conclusion

2min
page 271

References

20min
pages 272-284

Conclusion

2min
page 319

Latin America and the Caribbean

2min
page 251

South Asia

2min
page 260

Sub-Saharan Africa

4min
pages 264-265

Middle East and North Africa

2min
page 255

Europe and Central Asia

2min
page 246

East Asia and Pacific

2min
page 241

Informality in EMDEs

2min
page 237

References

24min
pages 222-234

4D.7 Regression: Changes in informality and poverty reduction

2min
page 208

competition

2min
page 206

4D.8 Regression: Changes in informality and improvement in income inequality

1min
page 209

4D.14 Regression: Developmental challenges and DGE-based output informality in EMDEs

5min
pages 216-218

Annex 4C Bayesian model averaging approach

4min
pages 200-201

4D.4 Regression: Labor productivity of formal and informal firms 4D.5 Regression: Labor productivity of formal firms facing informal

1min
page 205

Annex 4B Regression analysis

2min
page 199

Annex 4A Meta-regression analysis

2min
page 198

Informality and SDGs related to human development

2min
page 191

Informality and SDGs related to infrastructure

2min
page 193

4.3 Informality, poverty, and income inequality

5min
pages 180-182

Informality and institutions

2min
page 189

Finding the needle in the haystack: The most robust correlates

2min
page 195

Conclusion

1min
page 197

Informality and economic correlates

2min
page 179

4.2 Casting a shadow: Productivity in formal and informal firms

4min
pages 167-168

Links between informality and development challenges

2min
page 165

4.1 Informality and wage inequality

8min
pages 158-161

References

6min
pages 147-152

Conclusion

2min
page 136

Data and methodology

2min
page 129

Literature review: Linkages between formal and informal sectors

6min
pages 126-128

References

13min
pages 115-122

2B.9 World Values Survey

1min
page 114

2B.8 MIMIC model estimation results, 1993-2018

1min
page 113

Future research directions

2min
page 54

Database of informality measures

14min
pages 81-86

References

10min
pages 55-62

Key findings and policy messages

6min
pages 36-38

Definition of informality

4min
pages 79-80

Conclusion

2min
page 99

Annex 2A Estimation methodologies

9min
pages 100-103

16 Informality indicators and entrepreneurial conditions in Sub-Saharan

2min
page 35
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