The Long Shadow of Informality

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234

C H A P T ER 5

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

Investing in human capital. Unemployment is particularly high among young, lowskilled, female, and rural workers (figure 5.13). These groups often seek employment in the informal sector. Policies targeting training and education of these groups, especially in rural areas, could help their transition to formal employment (Khera 2016). Increasing access to resources. Greater access to credit for informal workers could encourage formalization in SAR (Beck and Hoseini 2014; Ghani, Kerr, and O’Connell 2013). Expanding access to microfinance has led to increasing investment and productivity in the informal sector (Donou-Adonsou and Sylwester 2017; Imai and Azam 2012). High-quality public services can also provide an incentive for informal firms to become formal in order to access them. Building institutions. There is significant room for improvement in SAR’s business environment, including improving government effectiveness and controlling corruption. Measures to reduce regulatory burdens would also improve the business climate and foster growth (Vij, Khanna, and Srivastava 2017). This could reduce informality by reducing the costs of entry to, and operating in, the formal sector. Enhanced monitoring and enforcement, including of tax regulations, could help discourage informality (Ilzetzki and Lagakos 2017). In India, the recent introduction of a Goods and Services Tax is expected to encourage formalization of activity.

Sub-Saharan Africa Informality in SSA is very high by multiple measures. In some countries, informal employment exceeds 80 percent of total employment. In others, informal output is equivalent to more than half of official GDP. SSA had the highest employment informality of the six EMDE regions in 2010-18 and, along with ECA and LAC, also had the highest output informality. Numerous factors related to underdevelopment are associated with informality in SSA, including weak institutions, large rural and agricultural sectors, armed conflicts, and low human capital. The high incidence of poverty and inequality is also closely linked to the prevalence of large informal sectors. Governments in SSA have struggled with how to address high levels of informality. There is a growing recognition of the key role of the informal economy in the region’s development, and of the potential of the resources it employs if policies were more attuned to their mobilization.

Evolution of informality in SSA Informal output in SSA was 36 percent of official GDP, on average, in 2010-18, the highest among EMDE regions and slightly above the shares in ECA and LAC (figure 5.14). Informal employment (measured by self-employment), at 62 percent of total employment, was also the highest among the EMDE regions. Alternative measures of


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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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