The Long Shadow of Informality

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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

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necessarily in the long term.18 In Brazil and Peru, trade liberalization and increased import competition were associated with increases in informality as informal firms exited and formal firms increasingly hired informal workers (Cisneros-Acevedo, forthcoming) or workers increasingly worked informally (Dix-Carneiro and Kovak 2019).

Informality and institutions More informality is also associated with lower government revenues and expenditures, less effective public institutions, more burdensome tax and regulatory regimes, and weaker governance (for instance, Dabla-Norris, Gradstein, and Inchauste 2008; Enste and Schneider 1998; World Bank 2019).19 Government revenues and expenditures. On the basis of the various measures of informality, government revenues in EMDEs with above-median informality were, on average, 5-12 percentage points of GDP below those with below-median informality during 2000-18 (figure 4.6). The composition of tax revenues is also tilted toward trade taxes in economies with more pronounced informality, making the tax system less progressive but facilitating tax collection when income underreporting is widespread. Similarly, in EMDEs with more pervasive informality, government expenditures were 5-10 percentage points of GDP lower than in those with less informality. Such constrained government spending is reflected in more limited provision of government services, contributing to poorer human development outcomes (Gaspar et al. 2019). During 2000-18, EMDEs with above-median informality spent about 2 percent of GDP on health, which was 1 percentage point of GDP lower than in EMDEs with below-median informality (figure 4.6). The average number of pupils per teacher in primary schools was about 35 in EMDEs with above-median informality— significantly higher, by 8 students per teacher, than in EMDEs with below-median informality. Access to medical resources, such as physicians and nurses, was also significantly more limited in EMDEs with a more pervasive informal sector (World Bank 2020a). Regulatory burdens. Both empirical and theoretical studies suggest that heavier regulatory (or administrative) burdens are associated with greater informality (figure 4.6).20 Over the period 2010-18, the average ease of doing business score for EMDEs with below-median informality (by DGE estimates) was higher by 7 points—two-thirds 18 The changes of informal employment following trade liberalization, conditioning labor market rigidities, are studied in Attanasio, Goldberg, and Pavcnik (2004), Bosch, Goñi-Pacchioni, and Maloney (2012), Goldberg and Pavcnik (2003), Ponczek and Ulyssea (2018), andWorld Bank (2019). 19 Access to the court system can also encourage formal production (Mendicino and Prado 2014; Schneider, Buehn, and Montenegro 2010). 20 For studies that examine the link between informality and regulatory (or administrative) burdens, see Bruhn (2011), de Mel, McKenzie, and Woodruff (2013), Perry et al. (2007), Rocha, Ulyssea, and Rachter (2018), and Ulyssea (2010).


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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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