The Long Shadow of Informality

Page 319

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 6

289

Access to finance Less access to finance in more informal economies. Firms in the informal sector have less access to credit from the banking sector and capital markets, which restricts their ability to invest, including in productivity-enhancing technologies (Capasso and Jappelli 2013; D’Erasmo 2016; Ferreira-Tiryaki 2008; box 6.1; figure 6.12). In EMDEs with above-median informality, about one-third of firms identified access to finance as a major constraint—8 percentage points higher than in EMDEs with below-median informality. Households in EMDEs with below-median informality have access to significantly more commercial bank branches, ATMs, and credit than those in other EMDEs. About half of the population in EMDEs with below-median informality owns an account at a financial institution or used a mobile money service recently—about 17 percentage points higher than in EMDEs with below-median informality. Over time, expanded access to finance. EMDEs, especially in EAP, Middle East and North Africa (MNA), South Asia (SAR), and, more recently, SSA, have implemented a series of reforms to improve access to finance. Such reforms mainly aim to strengthen credit reporting systems and improve the effectiveness of collateral and bankruptcy laws (World Bank 2020a). Overall, financial development improved in about 90 out of 142 of EMDEs over the period 2010-18 (figure 6.12). The number of ATMs per 100,000 adults rose by 50 percent between 2010 and 2018, and the share of population with an account at a financial institution increased from 33 percent to 51 percent. Domestic credit to the private sector increased by about 4 percentage points of GDP over the same period. Access to credit has been facilitated for firms in the informal sector by introducing credit information bureaus and better use of information and communication technology (Capasso, Monferrà, and Sampagnaro 2018). Personal property registration has also made loans more accessible for firms operating in the informal economy (for example, in the Czech Republic; World Bank 2012). Digital payment systems have provided an entry point into the formal financial system and encouraged a shift away from informal finance (for example, in Kenya; World Bank 2017). Lower informality after expanded access to finance. Lower financing costs and easier access to credit can entice informal firms with promising investment projects that require external finance to enter the formal economy (box 6.1). Empirically, adding 10 more bank branches per 100,000 adults was followed by a decline of 0.1 to 0.3 percentage point in the share of informal output in the following one to five years. A 10percentage-point-of-GDP increase in domestic credit to the private sector was associated with a significant contraction in output informality, by 0.1 percentage point of GDP over the subsequent one to five years.

Conclusion The COVID-19 (coronavirus) pandemic plunged the global economy into an unprecedented contraction in 2020, and it is likely to leave lasting scars on long-term


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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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